fix: Login/Registration Dynamic page titles based on APP_TITLE

* 🤖 Assistants V2 Support: Part 1

- Separated Azure Assistants to its own endpoint
- File Search / Vector Store integration is incomplete, but can toggle and use storage from playground
- Code Interpreter resource files can be added but not deleted
- GPT-4o is supported
- Many improvements to the Assistants Endpoint overall

data-provider v2 changes

copy existing route as v1

chore: rename new endpoint to reduce comparison operations and add new azure filesource

api: add azureAssistants part 1

force use of version for assistants/assistantsAzure

chore: switch name back to azureAssistants

refactor type version: string | number

Ensure assistants endpoints have version set

fix: isArchived type issue in ConversationListParams

refactor: update assistants mutations/queries with endpoint/version definitions, update Assistants Map structure

chore:  FilePreview component ExtendedFile type assertion

feat: isAssistantsEndpoint helper

chore: remove unused useGenerations

chore(buildTree): type issue

chore(Advanced): type issue (unused component, maybe in future)

first pass for multi-assistant endpoint rewrite

fix(listAssistants): pass params correctly

feat: list separate assistants by endpoint

fix(useTextarea): access assistantMap correctly

fix: assistant endpoint switching, resetting ID

fix: broken during rewrite, selecting assistant mention

fix: set/invalidate assistants endpoint query data correctly

feat: Fix issue with assistant ID not being reset correctly

getOpenAIClient helper function

feat: add toast for assistant deletion

fix: assistants delete right after create issue for azure

fix: assistant patching

refactor: actions to use getOpenAIClient

refactor: consolidate logic into helpers file

fix: issue where conversation data was not initially available

v1 chat support

refactor(spendTokens): only early return if completionTokens isNaN

fix(OpenAIClient): ensure spendTokens has all necessary params

refactor: route/controller logic

fix(assistants/initializeClient): use defaultHeaders field

fix: sanitize default operation id

chore: bump openai package

first pass v2 action service

feat: retroactive domain parsing for actions added via v1

feat: delete db records of actions/assistants on openai assistant deletion

chore: remove vision tools from v2 assistants

feat: v2 upload and delete assistant vision images

WIP first pass, thread attachments

fix: show assistant vision files (save local/firebase copy)

v2 image continue

fix: annotations

fix: refine annotations

show analyze as error if is no longer submitting before progress reaches 1 and show file_search as retrieval tool

fix: abort run, undefined endpoint issue

refactor: consolidate capabilities logic and anticipate versioning

frontend version 2 changes

fix: query selection and filter

add endpoint to unknown filepath

add file ids to resource, deleting in progress

enable/disable file search

remove version log

* 🤖 Assistants V2 Support: Part 2

🎹 fix: Autocompletion Chrome Bug on Action API Key Input

chore: remove `useOriginNavigate`

chore: set correct OpenAI Storage Source

fix: azure file deletions, instantiate clients by source for deletion

update code interpret files info

feat: deleteResourceFileId

chore: increase poll interval as azure easily rate limits

fix: openai file deletions, TODO: evaluate rejected deletion settled promises to determine which to delete from db records

file source icons

update table file filters

chore: file search info and versioning

fix: retrieval update with necessary tool_resources if specified

fix(useMentions): add optional chaining in case listMap value is undefined

fix: force assistant avatar roundedness

fix: azure assistants, check correct flag

chore: bump data-provider

* fix: merge conflict

* ci: fix backend tests due to new updates

* chore: update .env.example

* meilisearch improvements

* localization updates

* chore: update comparisons

* feat: add additional metadata: endpoint, author ID

* chore: azureAssistants ENDPOINTS exclusion warning

.env.example

@@ -2,11 +2,9 @@
 #                       LibreChat Configuration                       #
 #=====================================================================#
 # Please refer to the reference documentation for assistance          #
-# with configuring your LibreChat environment. The guide is           #
-# available both online and within your local LibreChat               #
-# directory:                                                          #
-# Online: https://docs.librechat.ai/install/configuration/dotenv.html #
-# Locally: ./docs/install/configuration/dotenv.md                     #
+# with configuring your LibreChat environment.                        #
+#                                                                     #
+# https://www.librechat.ai/docs/configuration/dotenv                  #
 #=====================================================================#
 
 #==================================================#
@@ -62,7 +60,7 @@ PROXY=
 #===================================#
 # Known Endpoints - librechat.yaml  #
 #===================================#
-# https://docs.librechat.ai/install/configuration/ai_endpoints.html
+# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints
 
 # ANYSCALE_API_KEY=
 # APIPIE_API_KEY=
@@ -118,10 +116,10 @@ GOOGLE_KEY=user_provided
 # GOOGLE_REVERSE_PROXY=
 
 # Gemini API
-# GOOGLE_MODELS=gemini-1.0-pro,gemini-1.0-pro-001,gemini-1.0-pro-latest,gemini-1.0-pro-vision-latest,gemini-1.5-pro-latest,gemini-pro,gemini-pro-vision
+# GOOGLE_MODELS=gemini-1.5-flash-latest,gemini-1.0-pro,gemini-1.0-pro-001,gemini-1.0-pro-latest,gemini-1.0-pro-vision-latest,gemini-1.5-pro-latest,gemini-pro,gemini-pro-vision
 
 # Vertex AI
-# GOOGLE_MODELS=gemini-1.5-pro-preview-0409,gemini-1.0-pro-vision-001,gemini-pro,gemini-pro-vision,chat-bison,chat-bison-32k,codechat-bison,codechat-bison-32k,text-bison,text-bison-32k,text-unicorn,code-gecko,code-bison,code-bison-32k
+# GOOGLE_MODELS=gemini-1.5-flash-preview-0514,gemini-1.5-pro-preview-0409,gemini-1.0-pro-vision-001,gemini-pro,gemini-pro-vision,chat-bison,chat-bison-32k,codechat-bison,codechat-bison-32k,text-bison,text-bison-32k,text-unicorn,code-gecko,code-bison,code-bison-32k
 
 # Google Gemini Safety Settings
 # NOTE (Vertex AI): You do not have access to the BLOCK_NONE setting by default.
@@ -142,7 +140,7 @@ GOOGLE_KEY=user_provided
 #============#
 
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
+# OPENAI_MODELS=gpt-4o,gpt-3.5-turbo-0125,gpt-3.5-turbo-0301,gpt-3.5-turbo,gpt-4,gpt-4-0613,gpt-4-vision-preview,gpt-3.5-turbo-0613,gpt-3.5-turbo-16k-0613,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview,gpt-3.5-turbo-1106,gpt-3.5-turbo-instruct,gpt-3.5-turbo-instruct-0914,gpt-3.5-turbo-16k
 
 DEBUG_OPENAI=false
 
@@ -164,7 +162,17 @@ DEBUG_OPENAI=false
 
 ASSISTANTS_API_KEY=user_provided
 # ASSISTANTS_BASE_URL=
-# ASSISTANTS_MODELS=gpt-3.5-turbo-0125,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-16k,gpt-3.5-turbo,gpt-4,gpt-4-0314,gpt-4-32k-0314,gpt-4-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-1106,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview
+# ASSISTANTS_MODELS=gpt-4o,gpt-3.5-turbo-0125,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-16k,gpt-3.5-turbo,gpt-4,gpt-4-0314,gpt-4-32k-0314,gpt-4-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-1106,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview
+
+#==========================#
+#   Azure Assistants API   #
+#==========================#
+
+# Note: You should map your credentials with custom variables according to your Azure OpenAI Configuration
+# The models for Azure Assistants are also determined by your Azure OpenAI configuration.
+
+# More info, including how to enable use of Assistants with Azure here:
+# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure#using-assistants-with-azure
 
 #============#
 # OpenRouter #
@@ -176,7 +184,7 @@ ASSISTANTS_API_KEY=user_provided
 # Plugins    #
 #============#
 
-# PLUGIN_MODELS=gpt-4,gpt-4-turbo-preview,gpt-4-0125-preview,gpt-4-1106-preview,gpt-4-0613,gpt-3.5-turbo,gpt-3.5-turbo-0125,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613
+# PLUGIN_MODELS=gpt-4o,gpt-4,gpt-4-turbo-preview,gpt-4-0125-preview,gpt-4-1106-preview,gpt-4-0613,gpt-3.5-turbo,gpt-3.5-turbo-0125,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613
 
 DEBUG_PLUGINS=true
 

.eslintrc.js

@@ -132,6 +132,13 @@ module.exports = {
         },
       ],
     },
+    {
+      files: './config/translations/**/*.ts',
+      parser: '@typescript-eslint/parser',
+      parserOptions: {
+        project: './config/translations/tsconfig.json',
+      },
+    },
     {
       files: ['./packages/data-provider/specs/**/*.ts'],
       parserOptions: {

.github/ISSUE_TEMPLATE/FEATURE-REQUEST.yml

@@ -43,7 +43,7 @@ body:
     id: terms
     attributes:
       label: Code of Conduct
-      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/CODE_OF_CONDUCT.md)
+      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
       options:
         - label: I agree to follow this project's Code of Conduct
           required: true

.github/ISSUE_TEMPLATE/QUESTION.yml

@@ -44,7 +44,7 @@ body:
     id: terms
     attributes:
       label: Code of Conduct
-      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/CODE_OF_CONDUCT.md)
+      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
       options:
         - label: I agree to follow this project's Code of Conduct
           required: true

.github/pull_request_template.md

@@ -1,7 +1,10 @@
 # Pull Request Template
 
+⚠️ Before Submitting a PR, Please Review:
+- Please ensure that you have thoroughly read and understood the [Contributing Docs](https://github.com/danny-avila/LibreChat/blob/main/.github/CONTRIBUTING.md) before submitting your Pull Request.
 
-### ⚠️ Before Submitting a PR, read the [Contributing Docs](https://github.com/danny-avila/LibreChat/blob/main/.github/CONTRIBUTING.md) in full!
+⚠️ Documentation Updates Notice:
+- Kindly note that documentation updates are managed in this repository: [librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
 
 ## Summary
 
@@ -16,8 +19,6 @@ Please delete any irrelevant options.
 - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
 - [ ] This change requires a documentation update
 - [ ] Translation update
-- [ ] Documentation update
-
 
 ## Testing
 
@@ -37,4 +38,4 @@ Please delete any irrelevant options.
 - [ ] I have written tests demonstrating that my changes are effective or that my feature works
 - [ ] Local unit tests pass with my changes
 - [ ] Any changes dependent on mine have been merged and published in downstream modules.
-- [ ] New documents have been locally validated with mkdocs
+- [ ] A pull request for updating the documentation has been submitted.

.github/workflows/mkdocs.yaml

@@ -1,27 +0,0 @@
-name: mkdocs
-on:
-  push:
-    branches:
-      - main
-permissions:
-  contents: write
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v4
-        with:
-          python-version: 3.x
-      - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV 
-      - uses: actions/cache@v3
-        with:
-          key: mkdocs-material-${{ env.cache_id }}
-          path: .cache
-          restore-keys: |
-            mkdocs-material-
-      - run: pip install mkdocs-material 
-      - run: pip install mkdocs-nav-weight
-      - run: pip install mkdocs-publisher
-      - run: pip install mkdocs-exclude
-      - run: mkdocs gh-deploy --force

Dockerfile

@@ -1,10 +1,8 @@
 # v0.7.2
 
 # Base node image
-FROM node:18-alpine3.18 AS node
+FROM node:20-alpine AS node
 
-RUN apk add g++ make py3-pip
-RUN npm install -g node-gyp
 RUN apk --no-cache add curl
 
 RUN mkdir -p /app && chown node:node /app
@@ -14,20 +12,20 @@ USER node
 
 COPY --chown=node:node . .
 
-# Allow mounting of these files, which have no default
-# values.
-RUN touch .env
-RUN npm config set fetch-retry-maxtimeout 600000
-RUN npm config set fetch-retries 5
-RUN npm config set fetch-retry-mintimeout 15000
-RUN npm install --no-audit
+RUN \
+    # Allow mounting of these files, which have no default
+    touch .env ; \
+    # Create directories for the volumes to inherit the correct permissions
+    mkdir -p /app/client/public/images /app/api/logs ; \
+    npm config set fetch-retry-maxtimeout 600000 ; \
+    npm config set fetch-retries 5 ; \
+    npm config set fetch-retry-mintimeout 15000 ; \
+    npm install --no-audit; \
+    # React client build
+    NODE_OPTIONS="--max-old-space-size=2048" npm run frontend; \
+    npm prune --production; \
+    npm cache clean --force
 
-# React client build
-ENV NODE_OPTIONS="--max-old-space-size=2048"
-RUN npm run frontend
-
-# Create directories for the volumes to inherit
-# the correct permissions
 RUN mkdir -p /app/client/public/images /app/api/logs
 
 # Node API setup

Dockerfile.multi

@@ -7,32 +7,31 @@ FROM node:20-alpine AS base
 FROM base AS data-provider-build
 WORKDIR /app/packages/data-provider
 COPY ./packages/data-provider ./
-RUN npm install
+RUN npm install; npm cache clean --force
 RUN npm run build
+RUN npm prune --production
 
 # React client build
-FROM data-provider-build AS client-build
+FROM base AS client-build
 WORKDIR /app/client
 COPY ./client/package*.json ./
 # Copy data-provider to client's node_modules
-RUN mkdir -p /app/client/node_modules/librechat-data-provider/
-RUN cp -R /app/packages/data-provider/* /app/client/node_modules/librechat-data-provider/
-RUN npm install
+COPY --from=data-provider-build /app/packages/data-provider/ /app/client/node_modules/librechat-data-provider/
+RUN npm install; npm cache clean --force
 COPY ./client/ ./
 ENV NODE_OPTIONS="--max-old-space-size=2048"
 RUN npm run build
 
 # Node API setup
-FROM data-provider-build AS api-build
+FROM base AS api-build
 WORKDIR /app/api
 COPY api/package*.json ./
 COPY api/ ./
 # Copy helper scripts
 COPY config/ ./
 # Copy data-provider to API's node_modules
-RUN mkdir -p /app/api/node_modules/librechat-data-provider/
-RUN cp -R /app/packages/data-provider/* /app/api/node_modules/librechat-data-provider/
-RUN npm install
+COPY --from=data-provider-build /app/packages/data-provider/ /app/api/node_modules/librechat-data-provider/
+RUN npm install --include prod; npm cache clean --force
 COPY --from=client-build /app/client/dist /app/client/dist
 EXPOSE 3080
 ENV HOST=0.0.0.0

README.md

@@ -1,6 +1,6 @@
 <p align="center">
   <a href="https://librechat.ai">
-    <img src="docs/assets/LibreChat.svg" height="256">
+    <img src="client/public/assets/logo.svg" height="256">
   </a>
   <h1 align="center">
     <a href="https://librechat.ai">LibreChat</a>
@@ -43,14 +43,14 @@
 - 🖥️ UI matching ChatGPT, including Dark mode, Streaming, and latest updates
 - 🤖 AI model selection:
   - OpenAI, Azure OpenAI, BingAI, ChatGPT, Google Vertex AI, Anthropic (Claude), Plugins, Assistants API (including Azure Assistants)
-- ✅ Compatible across both **[Remote & Local AI services](https://docs.librechat.ai/install/configuration/ai_endpoints.html#intro):**
+- ✅ Compatible across both **[Remote & Local AI services](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):**
   - groq, Ollama, Cohere, Mistral AI, Apple MLX, koboldcpp, OpenRouter, together.ai, Perplexity, ShuttleAI, and more
 - 💾 Create, Save, & Share Custom Presets
 - 🔀 Switch between AI Endpoints and Presets, mid-chat
 - 🔄 Edit, Resubmit, and Continue Messages with Conversation branching
 - 🌿 Fork Messages & Conversations for Advanced Context control
 - 💬 Multimodal Chat:
-    - Upload and analyze images with Claude 3, GPT-4, and Gemini Vision 📸
+    - Upload and analyze images with Claude 3, GPT-4 (including `gpt-4o`), and Gemini Vision 📸
     - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, & Google. 🗃️
     - Advanced Agents with Files, Code Interpreter, Tools, and API Actions 🔦
       - Available through the [OpenAI Assistants API](https://platform.openai.com/docs/assistants/overview) 🌤️
@@ -69,7 +69,7 @@
 - 📖 Completely Open-Source & Built in Public
 - 🧑‍🤝‍🧑 Community-driven development, support, and feedback
 
-[For a thorough review of our features, see our docs here](https://docs.librechat.ai/features/plugins/introduction.html) 📚
+[For a thorough review of our features, see our docs here](https://docs.librechat.ai/) 📚
 
 ## 🪶 All-In-One AI Conversations with LibreChat
 
@@ -77,48 +77,48 @@ LibreChat brings together the future of assistant AIs with the revolutionary tec
 
 With LibreChat, you no longer need to opt for ChatGPT Plus and can instead use free or pay-per-call APIs. We welcome contributions, cloning, and forking to enhance the capabilities of this advanced chatbot platform.
 
-<!-- https://github.com/danny-avila/LibreChat/assets/110412045/c1eb0c0f-41f6-4335-b982-84b278b53d59 -->
-
-[![Watch the video](https://img.youtube.com/vi/pNIOs1ovsXw/maxresdefault.jpg)](https://youtu.be/pNIOs1ovsXw)
+[![Watch the video](https://img.youtube.com/vi/YLVUW5UP9N0/maxresdefault.jpg)](https://www.youtube.com/watch?v=YLVUW5UP9N0)
 Click on the thumbnail to open the video☝️
 
 ---
 
-## 📚 Documentation
+## 🌐 Resources
 
-For more information on how to use our advanced features, install and configure our software, and access our guidelines and tutorials, please check out our documentation at [docs.librechat.ai](https://docs.librechat.ai)
+**GitHub Repo:**
+  - **RAG API:** [github.com/danny-avila/rag_api](https://github.com/danny-avila/rag_api)
+  - **Website:** [github.com/LibreChat-AI/librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
+
+**Other:**
+  - **Website:** [librechat.ai](https://librechat.ai)
+  - **Documentation:** [docs.librechat.ai](https://docs.librechat.ai)
+  - **Blog:** [blog.librechat.ai](https://docs.librechat.ai)
 
 ---
 
 ## 📝 Changelog
 
-Keep up with the latest updates by visiting the releases page - [Releases](https://github.com/danny-avila/LibreChat/releases)
+Keep up with the latest updates by visiting the releases page and notes:
+- [Releases](https://github.com/danny-avila/LibreChat/releases)
+- [Changelog](https://www.librechat.ai/changelog) 
 
-**⚠️ [Breaking Changes](docs/general_info/breaking_changes.md)**
-Please consult the breaking changes before updating.
+**⚠️ Please consult the [changelog](https://www.librechat.ai/changelog) for breaking changes before updating.**
 
 ---
 
 ## ⭐ Star History
 
 <p align="center">
-<a href="https://trendshift.io/repositories/4685" target="_blank"><img src="https://trendshift.io/api/badge/repositories/4685" alt="danny-avila%2FLibreChat | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a
-     href="https://runacap.com/ross-index/q1-24/"
-     target="_blank"
-     rel="noopener"
->
-    <img
-        style="width: 260px; height: 56px"
-        src="https://runacap.com/wp-content/uploads/2024/04/ROSS_badge_white_Q1_2024.svg"
-        alt="ROSS Index - Fastest Growing Open-Source Startups in Q1 2024 | Runa Capital"
-        width="260"
-        height="56"
-    />
-</a>
-<a href="https://star-history.com/#danny-avila/LibreChat&Date">
-  <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date&theme=dark" onerror="this.src='https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date'" />
-</a>
+  <a href="https://star-history.com/#danny-avila/LibreChat&Date">
+    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date&theme=dark" onerror="this.src='https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date'" />
+  </a>
+</p>
+<p align="center">
+  <a href="https://trendshift.io/repositories/4685" target="_blank" style="padding: 10px;">
+    <img src="https://trendshift.io/api/badge/repositories/4685" alt="danny-avila%2FLibreChat | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
+  </a>
+  <a href="https://runacap.com/ross-index/q1-24/" target="_blank" rel="noopener" style="margin-left: 20px;">
+    <img style="width: 260px; height: 56px" src="https://runacap.com/wp-content/uploads/2024/04/ROSS_badge_white_Q1_2024.svg" alt="ROSS Index - Fastest Growing Open-Source Startups in Q1 2024 | Runa Capital" width="260" height="56"/>
+  </a>
 </p>
 
 ---

api/app/clients/GoogleClient.js

@@ -683,11 +683,12 @@ class GoogleClient extends BaseClient {
       const safetySettings = _payload.safetySettings;
       requestOptions.safetySettings = safetySettings;
 
+      const delay = modelName.includes('flash') ? 8 : 14;
       const result = await client.generateContentStream(requestOptions);
       for await (const chunk of result.stream) {
         const chunkText = chunk.text();
-        this.generateTextStream(chunkText, onProgress, {
-          delay: 12,
+        await this.generateTextStream(chunkText, onProgress, {
+          delay,
         });
         reply += chunkText;
       }
@@ -701,10 +702,14 @@ class GoogleClient extends BaseClient {
       safetySettings: safetySettings,
     });
 
+    let delay = this.isGenerativeModel ? 12 : 8;
+    if (modelName.includes('flash')) {
+      delay = 5;
+    }
     for await (const chunk of stream) {
       const chunkText = chunk?.content ?? chunk;
-      this.generateTextStream(chunkText, onProgress, {
-        delay: this.isGenerativeModel ? 12 : 8,
+      await this.generateTextStream(chunkText, onProgress, {
+        delay,
       });
       reply += chunkText;
     }

api/app/clients/OpenAIClient.js

@@ -308,7 +308,7 @@ class OpenAIClient extends BaseClient {
     let tokenizer;
     this.encoding = 'text-davinci-003';
     if (this.isChatCompletion) {
-      this.encoding = 'cl100k_base';
+      this.encoding = this.modelOptions.model.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
       tokenizer = this.constructor.getTokenizer(this.encoding);
     } else if (this.isUnofficialChatGptModel) {
       const extendSpecialTokens = {
@@ -756,6 +756,8 @@ class OpenAIClient extends BaseClient {
    *                            In case of failure, it will return the default title, "New Chat".
    */
   async titleConvo({ text, conversationId, responseText = '' }) {
+    this.conversationId = conversationId;
+
     if (this.options.attachments) {
       delete this.options.attachments;
     }
@@ -838,13 +840,17 @@ ${convo}
 
       try {
         let useChatCompletion = true;
+
         if (this.options.reverseProxyUrl === CohereConstants.API_URL) {
           useChatCompletion = false;
         }
+
         title = (
           await this.sendPayload(instructionsPayload, { modelOptions, useChatCompletion })
         ).replaceAll('"', '');
+
         const completionTokens = this.getTokenCount(title);
+
         this.recordTokenUsage({ promptTokens, completionTokens, context: 'title' });
       } catch (e) {
         logger.error(
@@ -868,6 +874,7 @@ ${convo}
         context: 'title',
         tokenBuffer: 150,
       });
+
       title = await runTitleChain({ llm, text, convo, signal: this.abortController.signal });
     } catch (e) {
       if (e?.message?.toLowerCase()?.includes('abort')) {
@@ -1005,9 +1012,9 @@ ${convo}
     await spendTokens(
       {
         context,
-        user: this.user,
         model: this.modelOptions.model,
         conversationId: this.conversationId,
+        user: this.user ?? this.options.req.user?.id,
         endpointTokenConfig: this.options.endpointTokenConfig,
       },
       { promptTokens, completionTokens },

api/app/clients/specs/OpenAIClient.test.js

@@ -144,6 +144,7 @@ describe('OpenAIClient', () => {
 
   const defaultOptions = {
     // debug: true,
+    req: {},
     openaiApiKey: 'new-api-key',
     modelOptions: {
       model,

api/models/Action.js

@@ -62,8 +62,24 @@ const deleteAction = async (searchParams, session = null) => {
   return await Action.findOneAndDelete(searchParams, options).lean();
 };
 
-module.exports = {
-  updateAction,
-  getActions,
-  deleteAction,
+/**
+ * Deletes actions by params, within a transaction session if provided.
+ *
+ * @param {Object} searchParams - The search parameters to find the actions to delete.
+ * @param {string} searchParams.action_id - The ID of the action(s) to delete.
+ * @param {string} searchParams.user - The user ID of the action's author.
+ * @param {mongoose.ClientSession} [session] - The transaction session to use (optional).
+ * @returns {Promise<Number>} A promise that resolves to the number of deleted action documents.
+ */
+const deleteActions = async (searchParams, session = null) => {
+  const options = session ? { session } : {};
+  const result = await Action.deleteMany(searchParams, options);
+  return result.deletedCount;
+};
+
+module.exports = {
+  getActions,
+  updateAction,
+  deleteAction,
+  deleteActions,
 };

api/models/Assistant.js

@@ -39,8 +39,21 @@ const getAssistants = async (searchParams) => {
   return await Assistant.find(searchParams).lean();
 };
 
+/**
+ * Deletes an assistant based on the provided ID.
+ *
+ * @param {Object} searchParams - The search parameters to find the assistant to delete.
+ * @param {string} searchParams.assistant_id - The ID of the assistant to delete.
+ * @param {string} searchParams.user - The user ID of the assistant's author.
+ * @returns {Promise<void>} Resolves when the assistant has been successfully deleted.
+ */
+const deleteAssistant = async (searchParams) => {
+  return await Assistant.findOneAndDelete(searchParams);
+};
+
 module.exports = {
   updateAssistant,
+  deleteAssistant,
   getAssistants,
   getAssistant,
 };

api/models/Share.js

@@ -0,0 +1,89 @@
+const crypto = require('crypto');
+const { getMessages } = require('./Message');
+const SharedLink = require('./schema/shareSchema');
+const logger = require('~/config/winston');
+
+module.exports = {
+  SharedLink,
+  getSharedMessages: async (shareId) => {
+    try {
+      const share = await SharedLink.findOne({ shareId })
+        .populate({
+          path: 'messages',
+          select: '-_id -__v -user',
+        })
+        .select('-_id -__v -user')
+        .lean();
+
+      if (!share || !share.conversationId || !share.isPublic) {
+        return null;
+      }
+
+      return share;
+    } catch (error) {
+      logger.error('[getShare] Error getting share link', error);
+      return { message: 'Error getting share link' };
+    }
+  },
+
+  getSharedLinks: async (user, pageNumber = 1, pageSize = 25, isPublic = true) => {
+    const query = { user, isPublic };
+    try {
+      const totalConvos = (await SharedLink.countDocuments(query)) || 1;
+      const totalPages = Math.ceil(totalConvos / pageSize);
+      const shares = await SharedLink.find(query)
+        .sort({ updatedAt: -1 })
+        .skip((pageNumber - 1) * pageSize)
+        .limit(pageSize)
+        .select('-_id -__v -user')
+        .lean();
+
+      return { sharedLinks: shares, pages: totalPages, pageNumber, pageSize };
+    } catch (error) {
+      logger.error('[getShareByPage] Error getting shares', error);
+      return { message: 'Error getting shares' };
+    }
+  },
+
+  createSharedLink: async (user, { conversationId, ...shareData }) => {
+    const share = await SharedLink.findOne({ conversationId }).select('-_id -__v -user').lean();
+    if (share) {
+      return share;
+    }
+
+    try {
+      const shareId = crypto.randomUUID();
+      const messages = await getMessages({ conversationId });
+      const update = { ...shareData, shareId, messages, user };
+      return await SharedLink.findOneAndUpdate({ conversationId: conversationId, user }, update, {
+        new: true,
+        upsert: true,
+      });
+    } catch (error) {
+      logger.error('[saveShareMessage] Error saving conversation', error);
+      return { message: 'Error saving conversation' };
+    }
+  },
+
+  updateSharedLink: async (user, { conversationId, ...shareData }) => {
+    const share = await SharedLink.findOne({ conversationId }).select('-_id -__v -user').lean();
+    if (!share) {
+      return { message: 'Share not found' };
+    }
+    // update messages to the latest
+    const messages = await getMessages({ conversationId });
+    const update = { ...shareData, messages, user };
+    return await SharedLink.findOneAndUpdate({ conversationId: conversationId, user }, update, {
+      new: true,
+      upsert: false,
+    });
+  },
+
+  deleteSharedLink: async (user, { shareId }) => {
+    const share = await SharedLink.findOne({ shareId, user });
+    if (!share) {
+      return { message: 'Share not found' };
+    }
+    return await SharedLink.findOneAndDelete({ shareId, user });
+  },
+};

api/models/plugins/mongoMeili.js

@@ -155,7 +155,7 @@ const createMeiliMongooseModel = function ({ index, attributesToIndex }) {
             function (results, value, key) {
               return { ...results, [key]: 1 };
             },
-            { _id: 1 },
+            { _id: 1, __v: 1 },
           ),
         ).lean();
 

api/models/schema/shareSchema.js

@@ -0,0 +1,38 @@
+const mongoose = require('mongoose');
+
+const shareSchema = mongoose.Schema(
+  {
+    conversationId: {
+      type: String,
+      required: true,
+    },
+    title: {
+      type: String,
+      index: true,
+    },
+    user: {
+      type: String,
+      index: true,
+    },
+    messages: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Message' }],
+    shareId: {
+      type: String,
+      index: true,
+    },
+    isPublic: {
+      type: Boolean,
+      default: false,
+    },
+    isVisible: {
+      type: Boolean,
+      default: false,
+    },
+    isAnonymous: {
+      type: Boolean,
+      default: true,
+    },
+  },
+  { timestamps: true },
+);
+
+module.exports = mongoose.model('SharedLink', shareSchema);

api/models/spendTokens.js

@@ -40,7 +40,7 @@ const spendTokens = async (txData, tokenUsage) => {
       });
     }
 
-    if (!completionTokens) {
+    if (!completionTokens && isNaN(completionTokens)) {
       logger.debug('[spendTokens] !completionTokens', { prompt, completion });
       return;
     }

api/models/tx.js

@@ -12,6 +12,7 @@ const tokenValues = {
   '4k': { prompt: 1.5, completion: 2 },
   '16k': { prompt: 3, completion: 4 },
   'gpt-3.5-turbo-1106': { prompt: 1, completion: 2 },
+  'gpt-4o': { prompt: 5, completion: 15 },
   'gpt-4-1106': { prompt: 10, completion: 30 },
   'gpt-3.5-turbo-0125': { prompt: 0.5, completion: 1.5 },
   'claude-3-opus': { prompt: 15, completion: 75 },
@@ -52,6 +53,8 @@ const getValueKey = (model, endpoint) => {
     return 'gpt-3.5-turbo-1106';
   } else if (modelName.includes('gpt-3.5')) {
     return '4k';
+  } else if (modelName.includes('gpt-4o')) {
+    return 'gpt-4o';
   } else if (modelName.includes('gpt-4-vision')) {
     return 'gpt-4-1106';
   } else if (modelName.includes('gpt-4-1106')) {

api/models/tx.spec.js

@@ -41,6 +41,13 @@ describe('getValueKey', () => {
     expect(getValueKey('gpt-4-turbo')).toBe('gpt-4-1106');
     expect(getValueKey('gpt-4-0125')).toBe('gpt-4-1106');
   });
+
+  it('should return "gpt-4o" for model type of "gpt-4o"', () => {
+    expect(getValueKey('gpt-4o-2024-05-13')).toBe('gpt-4o');
+    expect(getValueKey('openai/gpt-4o')).toBe('gpt-4o');
+    expect(getValueKey('gpt-4o-turbo')).toBe('gpt-4o');
+    expect(getValueKey('gpt-4o-0125')).toBe('gpt-4o');
+  });
 });
 
 describe('getMultiplier', () => {
@@ -84,6 +91,17 @@ describe('getMultiplier', () => {
     );
   });
 
+  it('should return the correct multiplier for gpt-4o', () => {
+    const valueKey = getValueKey('gpt-4o-2024-05-13');
+    expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
+    expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
+      tokenValues['gpt-4o'].completion,
+    );
+    expect(getMultiplier({ valueKey, tokenType: 'completion' })).not.toBe(
+      tokenValues['gpt-4-1106'].completion,
+    );
+  });
+
   it('should derive the valueKey from the model if not provided for new models', () => {
     expect(
       getMultiplier({ tokenType: 'prompt', model: 'gpt-3.5-turbo-1106-some-other-info' }),

api/package.json

@@ -76,7 +76,7 @@
     "nodejs-gpt": "^1.37.4",
     "nodemailer": "^6.9.4",
     "ollama": "^0.5.0",
-    "openai": "4.36.0",
+    "openai": "^4.47.1",
     "openai-chat-tokens": "^0.2.8",
     "openid-client": "^5.4.2",
     "passport": "^0.6.0",
@@ -89,7 +89,7 @@
     "passport-local": "^1.0.0",
     "pino": "^8.12.1",
     "sharp": "^0.32.6",
-    "tiktoken": "^1.0.10",
+    "tiktoken": "^1.0.15",
     "traverse": "^0.6.7",
     "ua-parser-js": "^1.0.36",
     "winston": "^3.11.0",

api/server/controllers/EndpointController.js

@@ -16,10 +16,28 @@ async function endpointController(req, res) {
   /** @type {TEndpointsConfig} */
   const mergedConfig = { ...defaultEndpointsConfig, ...customConfigEndpoints };
   if (mergedConfig[EModelEndpoint.assistants] && req.app.locals?.[EModelEndpoint.assistants]) {
-    const { disableBuilder, retrievalModels, capabilities, ..._rest } =
+    const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
       req.app.locals[EModelEndpoint.assistants];
+
     mergedConfig[EModelEndpoint.assistants] = {
       ...mergedConfig[EModelEndpoint.assistants],
+      version,
+      retrievalModels,
+      disableBuilder,
+      capabilities,
+    };
+  }
+
+  if (
+    mergedConfig[EModelEndpoint.azureAssistants] &&
+    req.app.locals?.[EModelEndpoint.azureAssistants]
+  ) {
+    const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
+      req.app.locals[EModelEndpoint.azureAssistants];
+
+    mergedConfig[EModelEndpoint.azureAssistants] = {
+      ...mergedConfig[EModelEndpoint.azureAssistants],
+      version,
       retrievalModels,
       disableBuilder,
       capabilities,

api/server/controllers/PluginController.js

@@ -55,24 +55,26 @@ const getAvailablePluginsController = async (req, res) => {
       return;
     }
 
-    /** @type {{ filteredTools: string[] }} */
-    const { filteredTools = [] } = req.app.locals;
-
+    /** @type {{ filteredTools: string[], includedTools: string[] }} */
+    const { filteredTools = [], includedTools = [] } = req.app.locals;
     const pluginManifest = await fs.readFile(req.app.locals.paths.pluginManifest, 'utf8');
-
     const jsonData = JSON.parse(pluginManifest);
-    /** @type {TPlugin[]} */
+
     const uniquePlugins = filterUniquePlugins(jsonData);
-    const authenticatedPlugins = uniquePlugins.map((plugin) => {
-      if (isPluginAuthenticated(plugin)) {
-        return { ...plugin, authenticated: true };
-      } else {
-        return plugin;
-      }
-    });
+    let authenticatedPlugins = [];
+    for (const plugin of uniquePlugins) {
+      authenticatedPlugins.push(
+        isPluginAuthenticated(plugin) ? { ...plugin, authenticated: true } : plugin,
+      );
+    }
 
     let plugins = await addOpenAPISpecs(authenticatedPlugins);
-    plugins = plugins.filter((plugin) => !filteredTools.includes(plugin.pluginKey));
+
+    if (includedTools.length > 0) {
+      plugins = plugins.filter((plugin) => includedTools.includes(plugin.pluginKey));
+    } else {
+      plugins = plugins.filter((plugin) => !filteredTools.includes(plugin.pluginKey));
+    }
 
     await cache.set(CacheKeys.PLUGINS, plugins);
     res.status(200).json(plugins);

api/server/controllers/assistants/chatV1.js

@@ -1,14 +1,13 @@
 const { v4 } = require('uuid');
-const express = require('express');
 const {
   Constants,
   RunStatus,
   CacheKeys,
-  FileSources,
   ContentTypes,
   EModelEndpoint,
   ViolationTypes,
   ImageVisionTool,
+  checkOpenAIStorage,
   AssistantStreamEvents,
 } = require('librechat-data-provider');
 const {
@@ -21,27 +20,18 @@ const {
 } = require('~/server/services/Threads');
 const { sendResponse, sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
 const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
-const { addTitle, initializeClient } = require('~/server/services/Endpoints/assistants');
 const { formatMessage, createVisionPrompt } = require('~/app/clients/prompts');
 const { createRun, StreamRunManager } = require('~/server/services/Runs');
+const { addTitle } = require('~/server/services/Endpoints/assistants');
 const { getTransactions } = require('~/models/Transaction');
 const checkBalance = require('~/models/checkBalance');
 const { getConvo } = require('~/models/Conversation');
 const getLogStores = require('~/cache/getLogStores');
 const { getModelMaxTokens } = require('~/utils');
+const { getOpenAIClient } = require('./helpers');
 const { logger } = require('~/config');
 
-const router = express.Router();
-const {
-  setHeaders,
-  handleAbort,
-  validateModel,
-  handleAbortError,
-  // validateEndpoint,
-  buildEndpointOption,
-} = require('~/server/middleware');
-
-router.post('/abort', handleAbort());
+const { handleAbortError } = require('~/server/middleware');
 
 const ten_minutes = 1000 * 60 * 10;
 
@@ -49,16 +39,17 @@ const ten_minutes = 1000 * 60 * 10;
  * @route POST /
  * @desc Chat with an assistant
  * @access Public
- * @param {express.Request} req - The request object, containing the request data.
- * @param {express.Response} res - The response object, used to send back a response.
+ * @param {Express.Request} req - The request object, containing the request data.
+ * @param {Express.Response} res - The response object, used to send back a response.
  * @returns {void}
  */
-router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res) => {
+const chatV1 = async (req, res) => {
   logger.debug('[/assistants/chat/] req.body', req.body);
 
   const {
     text,
     model,
+    endpoint,
     files = [],
     promptPrefix,
     assistant_id,
@@ -70,7 +61,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
   } = req.body;
 
   /** @type {Partial<TAssistantEndpoint>} */
-  const assistantsConfig = req.app.locals?.[EModelEndpoint.assistants];
+  const assistantsConfig = req.app.locals?.[endpoint];
 
   if (assistantsConfig) {
     const { supportedIds, excludedIds } = assistantsConfig;
@@ -138,7 +129,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
       user: req.user.id,
       shouldSaveMessage: false,
       messageId: responseMessageId,
-      endpoint: EModelEndpoint.assistants,
+      endpoint,
     };
 
     if (error.message === 'Run cancelled') {
@@ -149,7 +140,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
       logger.debug('[/assistants/chat/] Request aborted on close');
     } else if (/Files.*are invalid/.test(error.message)) {
       const errorMessage = `Files are invalid, or may not have uploaded yet.${
-        req.app.locals?.[EModelEndpoint.azureOpenAI].assistants
+        endpoint === EModelEndpoint.azureAssistants
           ? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
           : ''
       }`;
@@ -205,6 +196,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
       const runMessages = await checkMessageGaps({
         openai,
         run_id,
+        endpoint,
         thread_id,
         conversationId,
         latestMessageId: responseMessageId,
@@ -311,8 +303,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
       });
     };
 
-    /** @type {{ openai: OpenAIClient }} */
-    const { openai: _openai, client } = await initializeClient({
+    const { openai: _openai, client } = await getOpenAIClient({
       req,
       res,
       endpointOption: req.body.endpointOption,
@@ -370,10 +361,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
 
       /** @type {MongoFile[]} */
       const attachments = await req.body.endpointOption.attachments;
-      if (
-        attachments &&
-        attachments.every((attachment) => attachment.source === FileSources.openai)
-      ) {
+      if (attachments && attachments.every((attachment) => checkOpenAIStorage(attachment.source))) {
         return;
       }
 
@@ -431,7 +419,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
 
       if (processedFiles) {
         for (const file of processedFiles) {
-          if (file.source !== FileSources.openai) {
+          if (!checkOpenAIStorage(file.source)) {
             attachedFileIds.delete(file.file_id);
             const index = file_ids.indexOf(file.file_id);
             if (index > -1) {
@@ -467,6 +455,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
         assistant_id,
         thread_id,
         model: assistant_id,
+        endpoint,
       };
 
       previousMessages.push(requestMessage);
@@ -476,7 +465,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
 
       conversation = {
         conversationId,
-        endpoint: EModelEndpoint.assistants,
+        endpoint,
         promptPrefix: promptPrefix,
         instructions: instructions,
         assistant_id,
@@ -513,7 +502,8 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
     let response;
 
     const processRun = async (retry = false) => {
-      if (req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
+      if (endpoint === EModelEndpoint.azureAssistants) {
+        body.model = openai._options.model;
         openai.attachedFileIds = attachedFileIds;
         openai.visionPromise = visionPromise;
         if (retry) {
@@ -602,6 +592,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
       assistant_id,
       thread_id,
       model: assistant_id,
+      endpoint,
     };
 
     sendMessage(res, {
@@ -654,6 +645,6 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
   } catch (error) {
     await handleError(error);
   }
-});
+};
 
-module.exports = router;
+module.exports = chatV1;

api/server/controllers/assistants/chatV2.js

@@ -0,0 +1,618 @@
+const { v4 } = require('uuid');
+const {
+  Constants,
+  RunStatus,
+  CacheKeys,
+  ContentTypes,
+  ToolCallTypes,
+  EModelEndpoint,
+  ViolationTypes,
+  retrievalMimeTypes,
+  AssistantStreamEvents,
+} = require('librechat-data-provider');
+const {
+  initThread,
+  recordUsage,
+  saveUserMessage,
+  checkMessageGaps,
+  addThreadMetadata,
+  saveAssistantMessage,
+} = require('~/server/services/Threads');
+const { sendResponse, sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
+const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
+const { createRun, StreamRunManager } = require('~/server/services/Runs');
+const { addTitle } = require('~/server/services/Endpoints/assistants');
+const { getTransactions } = require('~/models/Transaction');
+const checkBalance = require('~/models/checkBalance');
+const { getConvo } = require('~/models/Conversation');
+const getLogStores = require('~/cache/getLogStores');
+const { getModelMaxTokens } = require('~/utils');
+const { getOpenAIClient } = require('./helpers');
+const { logger } = require('~/config');
+
+const { handleAbortError } = require('~/server/middleware');
+
+const ten_minutes = 1000 * 60 * 10;
+
+/**
+ * @route POST /
+ * @desc Chat with an assistant
+ * @access Public
+ * @param {Express.Request} req - The request object, containing the request data.
+ * @param {Express.Response} res - The response object, used to send back a response.
+ * @returns {void}
+ */
+const chatV2 = async (req, res) => {
+  logger.debug('[/assistants/chat/] req.body', req.body);
+
+  /** @type {{ files: MongoFile[]}} */
+  const {
+    text,
+    model,
+    endpoint,
+    files = [],
+    promptPrefix,
+    assistant_id,
+    instructions,
+    thread_id: _thread_id,
+    messageId: _messageId,
+    conversationId: convoId,
+    parentMessageId: _parentId = Constants.NO_PARENT,
+  } = req.body;
+
+  /** @type {Partial<TAssistantEndpoint>} */
+  const assistantsConfig = req.app.locals?.[endpoint];
+
+  if (assistantsConfig) {
+    const { supportedIds, excludedIds } = assistantsConfig;
+    const error = { message: 'Assistant not supported' };
+    if (supportedIds?.length && !supportedIds.includes(assistant_id)) {
+      return await handleAbortError(res, req, error, {
+        sender: 'System',
+        conversationId: convoId,
+        messageId: v4(),
+        parentMessageId: _messageId,
+        error,
+      });
+    } else if (excludedIds?.length && excludedIds.includes(assistant_id)) {
+      return await handleAbortError(res, req, error, {
+        sender: 'System',
+        conversationId: convoId,
+        messageId: v4(),
+        parentMessageId: _messageId,
+      });
+    }
+  }
+
+  /** @type {OpenAIClient} */
+  let openai;
+  /** @type {string|undefined} - the current thread id */
+  let thread_id = _thread_id;
+  /** @type {string|undefined} - the current run id */
+  let run_id;
+  /** @type {string|undefined} - the parent messageId */
+  let parentMessageId = _parentId;
+  /** @type {TMessage[]} */
+  let previousMessages = [];
+  /** @type {import('librechat-data-provider').TConversation | null} */
+  let conversation = null;
+  /** @type {string[]} */
+  let file_ids = [];
+  /** @type {Set<string>} */
+  let attachedFileIds = new Set();
+  /** @type {TMessage | null} */
+  let requestMessage = null;
+
+  const userMessageId = v4();
+  const responseMessageId = v4();
+
+  /** @type {string} - The conversation UUID - created if undefined */
+  const conversationId = convoId ?? v4();
+
+  const cache = getLogStores(CacheKeys.ABORT_KEYS);
+  const cacheKey = `${req.user.id}:${conversationId}`;
+
+  /** @type {Run | undefined} - The completed run, undefined if incomplete */
+  let completedRun;
+
+  const handleError = async (error) => {
+    const defaultErrorMessage =
+      'The Assistant run failed to initialize. Try sending a message in a new conversation.';
+    const messageData = {
+      thread_id,
+      assistant_id,
+      conversationId,
+      parentMessageId,
+      sender: 'System',
+      user: req.user.id,
+      shouldSaveMessage: false,
+      messageId: responseMessageId,
+      endpoint,
+    };
+
+    if (error.message === 'Run cancelled') {
+      return res.end();
+    } else if (error.message === 'Request closed' && completedRun) {
+      return;
+    } else if (error.message === 'Request closed') {
+      logger.debug('[/assistants/chat/] Request aborted on close');
+    } else if (/Files.*are invalid/.test(error.message)) {
+      const errorMessage = `Files are invalid, or may not have uploaded yet.${
+        endpoint === EModelEndpoint.azureAssistants
+          ? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
+          : ''
+      }`;
+      return sendResponse(res, messageData, errorMessage);
+    } else if (error?.message?.includes('string too long')) {
+      return sendResponse(
+        res,
+        messageData,
+        'Message too long. The Assistants API has a limit of 32,768 characters per message. Please shorten it and try again.',
+      );
+    } else if (error?.message?.includes(ViolationTypes.TOKEN_BALANCE)) {
+      return sendResponse(res, messageData, error.message);
+    } else {
+      logger.error('[/assistants/chat/]', error);
+    }
+
+    if (!openai || !thread_id || !run_id) {
+      return sendResponse(res, messageData, defaultErrorMessage);
+    }
+
+    await sleep(2000);
+
+    try {
+      const status = await cache.get(cacheKey);
+      if (status === 'cancelled') {
+        logger.debug('[/assistants/chat/] Run already cancelled');
+        return res.end();
+      }
+      await cache.delete(cacheKey);
+      const cancelledRun = await openai.beta.threads.runs.cancel(thread_id, run_id);
+      logger.debug('[/assistants/chat/] Cancelled run:', cancelledRun);
+    } catch (error) {
+      logger.error('[/assistants/chat/] Error cancelling run', error);
+    }
+
+    await sleep(2000);
+
+    let run;
+    try {
+      run = await openai.beta.threads.runs.retrieve(thread_id, run_id);
+      await recordUsage({
+        ...run.usage,
+        model: run.model,
+        user: req.user.id,
+        conversationId,
+      });
+    } catch (error) {
+      logger.error('[/assistants/chat/] Error fetching or processing run', error);
+    }
+
+    let finalEvent;
+    try {
+      const runMessages = await checkMessageGaps({
+        openai,
+        run_id,
+        endpoint,
+        thread_id,
+        conversationId,
+        latestMessageId: responseMessageId,
+      });
+
+      const errorContentPart = {
+        text: {
+          value:
+            error?.message ?? 'There was an error processing your request. Please try again later.',
+        },
+        type: ContentTypes.ERROR,
+      };
+
+      if (!Array.isArray(runMessages[runMessages.length - 1]?.content)) {
+        runMessages[runMessages.length - 1].content = [errorContentPart];
+      } else {
+        const contentParts = runMessages[runMessages.length - 1].content;
+        for (let i = 0; i < contentParts.length; i++) {
+          const currentPart = contentParts[i];
+          /** @type {CodeToolCall | RetrievalToolCall | FunctionToolCall | undefined} */
+          const toolCall = currentPart?.[ContentTypes.TOOL_CALL];
+          if (
+            toolCall &&
+            toolCall?.function &&
+            !(toolCall?.function?.output || toolCall?.function?.output?.length)
+          ) {
+            contentParts[i] = {
+              ...currentPart,
+              [ContentTypes.TOOL_CALL]: {
+                ...toolCall,
+                function: {
+                  ...toolCall.function,
+                  output: 'error processing tool',
+                },
+              },
+            };
+          }
+        }
+        runMessages[runMessages.length - 1].content.push(errorContentPart);
+      }
+
+      finalEvent = {
+        final: true,
+        conversation: await getConvo(req.user.id, conversationId),
+        runMessages,
+      };
+    } catch (error) {
+      logger.error('[/assistants/chat/] Error finalizing error process', error);
+      return sendResponse(res, messageData, 'The Assistant run failed');
+    }
+
+    return sendResponse(res, finalEvent);
+  };
+
+  try {
+    res.on('close', async () => {
+      if (!completedRun) {
+        await handleError(new Error('Request closed'));
+      }
+    });
+
+    if (convoId && !_thread_id) {
+      completedRun = true;
+      throw new Error('Missing thread_id for existing conversation');
+    }
+
+    if (!assistant_id) {
+      completedRun = true;
+      throw new Error('Missing assistant_id');
+    }
+
+    const checkBalanceBeforeRun = async () => {
+      if (!isEnabled(process.env.CHECK_BALANCE)) {
+        return;
+      }
+      const transactions =
+        (await getTransactions({
+          user: req.user.id,
+          context: 'message',
+          conversationId,
+        })) ?? [];
+
+      const totalPreviousTokens = Math.abs(
+        transactions.reduce((acc, curr) => acc + curr.rawAmount, 0),
+      );
+
+      // TODO: make promptBuffer a config option; buffer for titles, needs buffer for system instructions
+      const promptBuffer = parentMessageId === Constants.NO_PARENT && !_thread_id ? 200 : 0;
+      // 5 is added for labels
+      let promptTokens = (await countTokens(text + (promptPrefix ?? ''))) + 5;
+      promptTokens += totalPreviousTokens + promptBuffer;
+      // Count tokens up to the current context window
+      promptTokens = Math.min(promptTokens, getModelMaxTokens(model));
+
+      await checkBalance({
+        req,
+        res,
+        txData: {
+          model,
+          user: req.user.id,
+          tokenType: 'prompt',
+          amount: promptTokens,
+        },
+      });
+    };
+
+    const { openai: _openai, client } = await getOpenAIClient({
+      req,
+      res,
+      endpointOption: req.body.endpointOption,
+      initAppClient: true,
+    });
+
+    openai = _openai;
+
+    if (previousMessages.length) {
+      parentMessageId = previousMessages[previousMessages.length - 1].messageId;
+    }
+
+    let userMessage = {
+      role: 'user',
+      content: [
+        {
+          type: ContentTypes.TEXT,
+          text,
+        },
+      ],
+      metadata: {
+        messageId: userMessageId,
+      },
+    };
+
+    /** @type {CreateRunBody | undefined} */
+    const body = {
+      assistant_id,
+      model,
+    };
+
+    if (promptPrefix) {
+      body.additional_instructions = promptPrefix;
+    }
+
+    if (instructions) {
+      body.instructions = instructions;
+    }
+
+    const getRequestFileIds = async () => {
+      let thread_file_ids = [];
+      if (convoId) {
+        const convo = await getConvo(req.user.id, convoId);
+        if (convo && convo.file_ids) {
+          thread_file_ids = convo.file_ids;
+        }
+      }
+
+      if (files.length || thread_file_ids.length) {
+        attachedFileIds = new Set([...file_ids, ...thread_file_ids]);
+
+        let attachmentIndex = 0;
+        for (const file of files) {
+          file_ids.push(file.file_id);
+          if (file.type.startsWith('image')) {
+            userMessage.content.push({
+              type: ContentTypes.IMAGE_FILE,
+              [ContentTypes.IMAGE_FILE]: { file_id: file.file_id },
+            });
+          }
+
+          if (!userMessage.attachments) {
+            userMessage.attachments = [];
+          }
+
+          userMessage.attachments.push({
+            file_id: file.file_id,
+            tools: [{ type: ToolCallTypes.CODE_INTERPRETER }],
+          });
+
+          if (file.type.startsWith('image')) {
+            continue;
+          }
+
+          const mimeType = file.type;
+          const isSupportedByRetrieval = retrievalMimeTypes.some((regex) => regex.test(mimeType));
+          if (isSupportedByRetrieval) {
+            userMessage.attachments[attachmentIndex].tools.push({
+              type: ToolCallTypes.FILE_SEARCH,
+            });
+          }
+
+          attachmentIndex++;
+        }
+      }
+    };
+
+    const initializeThread = async () => {
+      await getRequestFileIds();
+
+      // TODO: may allow multiple messages to be created beforehand in a future update
+      const initThreadBody = {
+        messages: [userMessage],
+        metadata: {
+          user: req.user.id,
+          conversationId,
+        },
+      };
+
+      const result = await initThread({ openai, body: initThreadBody, thread_id });
+      thread_id = result.thread_id;
+
+      createOnTextProgress({
+        openai,
+        conversationId,
+        userMessageId,
+        messageId: responseMessageId,
+        thread_id,
+      });
+
+      requestMessage = {
+        user: req.user.id,
+        text,
+        messageId: userMessageId,
+        parentMessageId,
+        // TODO: make sure client sends correct format for `files`, use zod
+        files,
+        file_ids,
+        conversationId,
+        isCreatedByUser: true,
+        assistant_id,
+        thread_id,
+        model: assistant_id,
+        endpoint,
+      };
+
+      previousMessages.push(requestMessage);
+
+      /* asynchronous */
+      saveUserMessage({ ...requestMessage, model });
+
+      conversation = {
+        conversationId,
+        endpoint,
+        promptPrefix: promptPrefix,
+        instructions: instructions,
+        assistant_id,
+        // model,
+      };
+
+      if (file_ids.length) {
+        conversation.file_ids = file_ids;
+      }
+    };
+
+    const promises = [initializeThread(), checkBalanceBeforeRun()];
+    await Promise.all(promises);
+
+    const sendInitialResponse = () => {
+      sendMessage(res, {
+        sync: true,
+        conversationId,
+        // messages: previousMessages,
+        requestMessage,
+        responseMessage: {
+          user: req.user.id,
+          messageId: openai.responseMessage.messageId,
+          parentMessageId: userMessageId,
+          conversationId,
+          assistant_id,
+          thread_id,
+          model: assistant_id,
+        },
+      });
+    };
+
+    /** @type {RunResponse | typeof StreamRunManager | undefined} */
+    let response;
+
+    const processRun = async (retry = false) => {
+      if (endpoint === EModelEndpoint.azureAssistants) {
+        body.model = openai._options.model;
+        openai.attachedFileIds = attachedFileIds;
+        if (retry) {
+          response = await runAssistant({
+            openai,
+            thread_id,
+            run_id,
+            in_progress: openai.in_progress,
+          });
+          return;
+        }
+
+        /* NOTE:
+         * By default, a Run will use the model and tools configuration specified in Assistant object,
+         * but you can override most of these when creating the Run for added flexibility:
+         */
+        const run = await createRun({
+          openai,
+          thread_id,
+          body,
+        });
+
+        run_id = run.id;
+        await cache.set(cacheKey, `${thread_id}:${run_id}`, ten_minutes);
+        sendInitialResponse();
+
+        // todo: retry logic
+        response = await runAssistant({ openai, thread_id, run_id });
+        return;
+      }
+
+      /** @type {{[AssistantStreamEvents.ThreadRunCreated]: (event: ThreadRunCreated) => Promise<void>}} */
+      const handlers = {
+        [AssistantStreamEvents.ThreadRunCreated]: async (event) => {
+          await cache.set(cacheKey, `${thread_id}:${event.data.id}`, ten_minutes);
+          run_id = event.data.id;
+          sendInitialResponse();
+        },
+      };
+
+      const streamRunManager = new StreamRunManager({
+        req,
+        res,
+        openai,
+        handlers,
+        thread_id,
+        attachedFileIds,
+        responseMessage: openai.responseMessage,
+        // streamOptions: {
+
+        // },
+      });
+
+      await streamRunManager.runAssistant({
+        thread_id,
+        body,
+      });
+
+      response = streamRunManager;
+    };
+
+    await processRun();
+    logger.debug('[/assistants/chat/] response', {
+      run: response.run,
+      steps: response.steps,
+    });
+
+    if (response.run.status === RunStatus.CANCELLED) {
+      logger.debug('[/assistants/chat/] Run cancelled, handled by `abortRun`');
+      return res.end();
+    }
+
+    if (response.run.status === RunStatus.IN_PROGRESS) {
+      processRun(true);
+    }
+
+    completedRun = response.run;
+
+    /** @type {ResponseMessage} */
+    const responseMessage = {
+      ...(response.responseMessage ?? response.finalMessage),
+      parentMessageId: userMessageId,
+      conversationId,
+      user: req.user.id,
+      assistant_id,
+      thread_id,
+      model: assistant_id,
+      endpoint,
+    };
+
+    sendMessage(res, {
+      final: true,
+      conversation,
+      requestMessage: {
+        parentMessageId,
+        thread_id,
+      },
+    });
+    res.end();
+
+    await saveAssistantMessage({ ...responseMessage, model });
+
+    if (parentMessageId === Constants.NO_PARENT && !_thread_id) {
+      addTitle(req, {
+        text,
+        responseText: response.text,
+        conversationId,
+        client,
+      });
+    }
+
+    await addThreadMetadata({
+      openai,
+      thread_id,
+      messageId: responseMessage.messageId,
+      messages: response.messages,
+    });
+
+    if (!response.run.usage) {
+      await sleep(3000);
+      completedRun = await openai.beta.threads.runs.retrieve(thread_id, response.run.id);
+      if (completedRun.usage) {
+        await recordUsage({
+          ...completedRun.usage,
+          user: req.user.id,
+          model: completedRun.model ?? model,
+          conversationId,
+        });
+      }
+    } else {
+      await recordUsage({
+        ...response.run.usage,
+        user: req.user.id,
+        model: response.run.model ?? model,
+        conversationId,
+      });
+    }
+  } catch (error) {
+    await handleError(error);
+  }
+};
+
+module.exports = chatV2;

api/server/controllers/assistants/helpers.js

@@ -0,0 +1,158 @@
+const { EModelEndpoint, CacheKeys, defaultAssistantsVersion } = require('librechat-data-provider');
+const {
+  initializeClient: initAzureClient,
+} = require('~/server/services/Endpoints/azureAssistants');
+const { initializeClient } = require('~/server/services/Endpoints/assistants');
+const { getLogStores } = require('~/cache');
+
+/**
+ * @param {Express.Request} req
+ * @param {string} [endpoint]
+ * @returns {Promise<string>}
+ */
+const getCurrentVersion = async (req, endpoint) => {
+  const index = req.baseUrl.lastIndexOf('/v');
+  let version = index !== -1 ? req.baseUrl.substring(index + 1, index + 3) : null;
+  if (!version && req.body.version) {
+    version = `v${req.body.version}`;
+  }
+  if (!version && endpoint) {
+    const cache = getLogStores(CacheKeys.CONFIG_STORE);
+    const cachedEndpointsConfig = await cache.get(CacheKeys.ENDPOINT_CONFIG);
+    version = `v${
+      cachedEndpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint]
+    }`;
+  }
+  if (!version?.startsWith('v') && version.length !== 2) {
+    throw new Error(`[${req.baseUrl}] Invalid version: ${version}`);
+  }
+  return version;
+};
+
+/**
+ * Asynchronously lists assistants based on provided query parameters.
+ *
+ * Initializes the client with the current request and response objects and lists assistants
+ * according to the query parameters. This function abstracts the logic for non-Azure paths.
+ *
+ * @async
+ * @param {object} params - The parameters object.
+ * @param {object} params.req - The request object, used for initializing the client.
+ * @param {object} params.res - The response object, used for initializing the client.
+ * @param {string} params.version - The API version to use.
+ * @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
+ * @returns {Promise<object>} A promise that resolves to the response from the `openai.beta.assistants.list` method call.
+ */
+const listAssistants = async ({ req, res, version, query }) => {
+  const { openai } = await getOpenAIClient({ req, res, version });
+  return openai.beta.assistants.list(query);
+};
+
+/**
+ * Asynchronously lists assistants for Azure configured groups.
+ *
+ * Iterates through Azure configured assistant groups, initializes the client with the current request and response objects,
+ * lists assistants based on the provided query parameters, and merges their data alongside the model information into a single array.
+ *
+ * @async
+ * @param {object} params - The parameters object.
+ * @param {object} params.req - The request object, used for initializing the client and manipulating the request body.
+ * @param {object} params.res - The response object, used for initializing the client.
+ * @param {string} params.version - The API version to use.
+ * @param {TAzureConfig} params.azureConfig - The Azure configuration object containing assistantGroups and groupMap.
+ * @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
+ * @returns {Promise<AssistantListResponse>} A promise that resolves to an array of assistant data merged with their respective model information.
+ */
+const listAssistantsForAzure = async ({ req, res, version, azureConfig = {}, query }) => {
+  /** @type {Array<[string, TAzureModelConfig]>} */
+  const groupModelTuples = [];
+  const promises = [];
+  /** @type {Array<TAzureGroup>} */
+  const groups = [];
+
+  const { groupMap, assistantGroups } = azureConfig;
+
+  for (const groupName of assistantGroups) {
+    const group = groupMap[groupName];
+    groups.push(group);
+
+    const currentModelTuples = Object.entries(group?.models);
+    groupModelTuples.push(currentModelTuples);
+
+    /* The specified model is only necessary to
+    fetch assistants for the shared instance */
+    req.body.model = currentModelTuples[0][0];
+    promises.push(listAssistants({ req, res, version, query }));
+  }
+
+  const resolvedQueries = await Promise.all(promises);
+  const data = resolvedQueries.flatMap((res, i) =>
+    res.data.map((assistant) => {
+      const deploymentName = assistant.model;
+      const currentGroup = groups[i];
+      const currentModelTuples = groupModelTuples[i];
+      const firstModel = currentModelTuples[0][0];
+
+      if (currentGroup.deploymentName === deploymentName) {
+        return { ...assistant, model: firstModel };
+      }
+
+      for (const [model, modelConfig] of currentModelTuples) {
+        if (modelConfig.deploymentName === deploymentName) {
+          return { ...assistant, model };
+        }
+      }
+
+      return { ...assistant, model: firstModel };
+    }),
+  );
+
+  return {
+    first_id: data[0]?.id,
+    last_id: data[data.length - 1]?.id,
+    object: 'list',
+    has_more: false,
+    data,
+  };
+};
+
+async function getOpenAIClient({ req, res, endpointOption, initAppClient, overrideEndpoint }) {
+  let endpoint = overrideEndpoint ?? req.body.endpoint ?? req.query.endpoint;
+  const version = await getCurrentVersion(req, endpoint);
+  if (!endpoint) {
+    throw new Error(`[${req.baseUrl}] Endpoint is required`);
+  }
+
+  let result;
+  if (endpoint === EModelEndpoint.assistants) {
+    result = await initializeClient({ req, res, version, endpointOption, initAppClient });
+  } else if (endpoint === EModelEndpoint.azureAssistants) {
+    result = await initAzureClient({ req, res, version, endpointOption, initAppClient });
+  }
+
+  return result;
+}
+
+const fetchAssistants = async (req, res) => {
+  const { limit = 100, order = 'desc', after, before, endpoint } = req.query;
+  const version = await getCurrentVersion(req, endpoint);
+  const query = { limit, order, after, before };
+
+  /** @type {AssistantListResponse} */
+  let body;
+
+  if (endpoint === EModelEndpoint.assistants) {
+    ({ body } = await listAssistants({ req, res, version, query }));
+  } else if (endpoint === EModelEndpoint.azureAssistants) {
+    const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
+    body = await listAssistantsForAzure({ req, res, version, azureConfig, query });
+  }
+
+  return body;
+};
+
+module.exports = {
+  getOpenAIClient,
+  fetchAssistants,
+  getCurrentVersion,
+};

api/server/controllers/assistants/v1.js

@@ -1,34 +1,11 @@
-const multer = require('multer');
-const express = require('express');
-const { FileContext, EModelEndpoint } = require('librechat-data-provider');
-const {
-  initializeClient,
-  listAssistantsForAzure,
-  listAssistants,
-} = require('~/server/services/Endpoints/assistants');
+const { FileContext } = require('librechat-data-provider');
 const { getStrategyFunctions } = require('~/server/services/Files/strategies');
+const { deleteAssistantActions } = require('~/server/services/ActionService');
 const { uploadImageBuffer } = require('~/server/services/Files/process');
 const { updateAssistant, getAssistants } = require('~/models/Assistant');
+const { getOpenAIClient, fetchAssistants } = require('./helpers');
 const { deleteFileByFilter } = require('~/models/File');
 const { logger } = require('~/config');
-const actions = require('./actions');
-const tools = require('./tools');
-
-const upload = multer();
-const router = express.Router();
-
-/**
- * Assistant actions route.
- * @route GET|POST /assistants/actions
- */
-router.use('/actions', actions);
-
-/**
- * Create an assistant.
- * @route GET /assistants/tools
- * @returns {TPlugin[]} 200 - application/json
- */
-router.use('/tools', tools);
 
 /**
  * Create an assistant.
@@ -36,12 +13,11 @@ router.use('/tools', tools);
  * @param {AssistantCreateParams} req.body - The assistant creation parameters.
  * @returns {Assistant} 201 - success response - application/json
  */
-router.post('/', async (req, res) => {
+const createAssistant = async (req, res) => {
   try {
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
-    const { tools = [], ...assistantData } = req.body;
+    const { tools = [], endpoint, ...assistantData } = req.body;
     assistantData.tools = tools
       .map((tool) => {
         if (typeof tool !== 'string') {
@@ -52,18 +28,28 @@ router.post('/', async (req, res) => {
       })
       .filter((tool) => tool);
 
+    let azureModelIdentifier = null;
     if (openai.locals?.azureOptions) {
+      azureModelIdentifier = assistantData.model;
       assistantData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
     }
 
+    assistantData.metadata = {
+      author: req.user.id,
+      endpoint,
+    };
+
     const assistant = await openai.beta.assistants.create(assistantData);
+    if (azureModelIdentifier) {
+      assistant.model = azureModelIdentifier;
+    }
     logger.debug('/assistants/', assistant);
     res.status(201).json(assistant);
   } catch (error) {
     logger.error('[/assistants] Error creating assistant', error);
     res.status(500).json({ error: error.message });
   }
-});
+};
 
 /**
  * Retrieves an assistant.
@@ -71,10 +57,10 @@ router.post('/', async (req, res) => {
  * @param {string} req.params.id - Assistant identifier.
  * @returns {Assistant} 200 - success response - application/json
  */
-router.get('/:id', async (req, res) => {
+const retrieveAssistant = async (req, res) => {
   try {
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    /* NOTE: not actually being used right now */
+    const { openai } = await getOpenAIClient({ req, res });
 
     const assistant_id = req.params.id;
     const assistant = await openai.beta.assistants.retrieve(assistant_id);
@@ -83,22 +69,23 @@ router.get('/:id', async (req, res) => {
     logger.error('[/assistants/:id] Error retrieving assistant', error);
     res.status(500).json({ error: error.message });
   }
-});
+};
 
 /**
  * Modifies an assistant.
  * @route PATCH /assistants/:id
+ * @param {object} req - Express Request
+ * @param {object} req.params - Request params
  * @param {string} req.params.id - Assistant identifier.
  * @param {AssistantUpdateParams} req.body - The assistant update parameters.
  * @returns {Assistant} 200 - success response - application/json
  */
-router.patch('/:id', async (req, res) => {
+const patchAssistant = async (req, res) => {
   try {
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
     const assistant_id = req.params.id;
-    const updateData = req.body;
+    const { endpoint: _e, ...updateData } = req.body;
     updateData.tools = (updateData.tools ?? [])
       .map((tool) => {
         if (typeof tool !== 'string') {
@@ -119,52 +106,46 @@ router.patch('/:id', async (req, res) => {
     logger.error('[/assistants/:id] Error updating assistant', error);
     res.status(500).json({ error: error.message });
   }
-});
+};
 
 /**
  * Deletes an assistant.
  * @route DELETE /assistants/:id
+ * @param {object} req - Express Request
+ * @param {object} req.params - Request params
  * @param {string} req.params.id - Assistant identifier.
  * @returns {Assistant} 200 - success response - application/json
  */
-router.delete('/:id', async (req, res) => {
+const deleteAssistant = async (req, res) => {
   try {
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
     const assistant_id = req.params.id;
     const deletionStatus = await openai.beta.assistants.del(assistant_id);
+    if (deletionStatus?.deleted) {
+      await deleteAssistantActions({ req, assistant_id });
+    }
     res.json(deletionStatus);
   } catch (error) {
     logger.error('[/assistants/:id] Error deleting assistant', error);
     res.status(500).json({ error: 'Error deleting assistant' });
   }
-});
+};
 
 /**
  * Returns a list of assistants.
  * @route GET /assistants
+ * @param {object} req - Express Request
  * @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
  * @returns {AssistantListResponse} 200 - success response - application/json
  */
-router.get('/', async (req, res) => {
+const listAssistants = async (req, res) => {
   try {
-    const { limit = 100, order = 'desc', after, before } = req.query;
-    const query = { limit, order, after, before };
+    const body = await fetchAssistants(req, res);
 
-    const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
-    /** @type {AssistantListResponse} */
-    let body;
-
-    if (azureConfig?.assistants) {
-      body = await listAssistantsForAzure({ req, res, azureConfig, query });
-    } else {
-      ({ body } = await listAssistants({ req, res, query }));
-    }
-
-    if (req.app.locals?.[EModelEndpoint.assistants]) {
+    if (req.app.locals?.[req.query.endpoint]) {
       /** @type {Partial<TAssistantEndpoint>} */
-      const assistantsConfig = req.app.locals[EModelEndpoint.assistants];
+      const assistantsConfig = req.app.locals[req.query.endpoint];
       const { supportedIds, excludedIds } = assistantsConfig;
       if (supportedIds?.length) {
         body.data = body.data.filter((assistant) => supportedIds.includes(assistant.id));
@@ -178,31 +159,34 @@ router.get('/', async (req, res) => {
     logger.error('[/assistants] Error listing assistants', error);
     res.status(500).json({ message: 'Error listing assistants' });
   }
-});
+};
 
 /**
  * Returns a list of the user's assistant documents (metadata saved to database).
  * @route GET /assistants/documents
  * @returns {AssistantDocument[]} 200 - success response - application/json
  */
-router.get('/documents', async (req, res) => {
+const getAssistantDocuments = async (req, res) => {
   try {
     res.json(await getAssistants({ user: req.user.id }));
   } catch (error) {
     logger.error('[/assistants/documents] Error listing assistant documents', error);
     res.status(500).json({ error: error.message });
   }
-});
+};
 
 /**
  * Uploads and updates an avatar for a specific assistant.
  * @route POST /avatar/:assistant_id
+ * @param {object} req - Express Request
+ * @param {object} req.params - Request params
  * @param {string} req.params.assistant_id - The ID of the assistant.
  * @param {Express.Multer.File} req.file - The avatar image file.
+ * @param {object} req.body - Request body
  * @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
  * @returns {Object} 200 - success response - application/json
  */
-router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) => {
+const uploadAssistantAvatar = async (req, res) => {
   try {
     const { assistant_id } = req.params;
     if (!assistant_id) {
@@ -210,8 +194,7 @@ router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) =>
     }
 
     let { metadata: _metadata = '{}' } = req.body;
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
     const image = await uploadImageBuffer({
       req,
@@ -266,6 +249,14 @@ router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) =>
     logger.error(message, error);
     res.status(500).json({ message });
   }
-});
+};
 
-module.exports = router;
+module.exports = {
+  createAssistant,
+  retrieveAssistant,
+  patchAssistant,
+  deleteAssistant,
+  listAssistants,
+  getAssistantDocuments,
+  uploadAssistantAvatar,
+};

api/server/controllers/assistants/v2.js

@@ -0,0 +1,208 @@
+const { ToolCallTypes } = require('librechat-data-provider');
+const { validateAndUpdateTool } = require('~/server/services/ActionService');
+const { getOpenAIClient } = require('./helpers');
+const { logger } = require('~/config');
+
+/**
+ * Create an assistant.
+ * @route POST /assistants
+ * @param {AssistantCreateParams} req.body - The assistant creation parameters.
+ * @returns {Assistant} 201 - success response - application/json
+ */
+const createAssistant = async (req, res) => {
+  try {
+    /** @type {{ openai: OpenAIClient }} */
+    const { openai } = await getOpenAIClient({ req, res });
+
+    const { tools = [], endpoint, ...assistantData } = req.body;
+    assistantData.tools = tools
+      .map((tool) => {
+        if (typeof tool !== 'string') {
+          return tool;
+        }
+
+        return req.app.locals.availableTools[tool];
+      })
+      .filter((tool) => tool);
+
+    let azureModelIdentifier = null;
+    if (openai.locals?.azureOptions) {
+      azureModelIdentifier = assistantData.model;
+      assistantData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
+    }
+
+    assistantData.metadata = {
+      author: req.user.id,
+      endpoint,
+    };
+
+    const assistant = await openai.beta.assistants.create(assistantData);
+    if (azureModelIdentifier) {
+      assistant.model = azureModelIdentifier;
+    }
+    logger.debug('/assistants/', assistant);
+    res.status(201).json(assistant);
+  } catch (error) {
+    logger.error('[/assistants] Error creating assistant', error);
+    res.status(500).json({ error: error.message });
+  }
+};
+
+/**
+ * Modifies an assistant.
+ * @param {object} params
+ * @param {Express.Request} params.req
+ * @param {OpenAIClient} params.openai
+ * @param {string} params.assistant_id
+ * @param {AssistantUpdateParams} params.updateData
+ * @returns {Promise<Assistant>} The updated assistant.
+ */
+const updateAssistant = async ({ req, openai, assistant_id, updateData }) => {
+  const tools = [];
+
+  let hasFileSearch = false;
+  for (const tool of updateData.tools ?? []) {
+    let actualTool = typeof tool === 'string' ? req.app.locals.availableTools[tool] : tool;
+
+    if (!actualTool) {
+      continue;
+    }
+
+    if (actualTool.type === ToolCallTypes.FILE_SEARCH) {
+      hasFileSearch = true;
+    }
+
+    if (!actualTool.function) {
+      tools.push(actualTool);
+      continue;
+    }
+
+    const updatedTool = await validateAndUpdateTool({ req, tool: actualTool, assistant_id });
+    if (updatedTool) {
+      tools.push(updatedTool);
+    }
+  }
+
+  if (hasFileSearch && !updateData.tool_resources) {
+    const assistant = await openai.beta.assistants.retrieve(assistant_id);
+    updateData.tool_resources = assistant.tool_resources ?? null;
+  }
+
+  if (hasFileSearch && !updateData.tool_resources?.file_search) {
+    updateData.tool_resources = {
+      ...(updateData.tool_resources ?? {}),
+      file_search: {
+        vector_store_ids: [],
+      },
+    };
+  }
+
+  updateData.tools = tools;
+
+  if (openai.locals?.azureOptions && updateData.model) {
+    updateData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
+  }
+
+  return await openai.beta.assistants.update(assistant_id, updateData);
+};
+
+/**
+ * Modifies an assistant with the resource file id.
+ * @param {object} params
+ * @param {Express.Request} params.req
+ * @param {OpenAIClient} params.openai
+ * @param {string} params.assistant_id
+ * @param {string} params.tool_resource
+ * @param {string} params.file_id
+ * @param {AssistantUpdateParams} params.updateData
+ * @returns {Promise<Assistant>} The updated assistant.
+ */
+const addResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
+  const assistant = await openai.beta.assistants.retrieve(assistant_id);
+  const { tool_resources = {} } = assistant;
+  if (tool_resources[tool_resource]) {
+    tool_resources[tool_resource].file_ids.push(file_id);
+  } else {
+    tool_resources[tool_resource] = { file_ids: [file_id] };
+  }
+
+  delete assistant.id;
+  return await updateAssistant({
+    req,
+    openai,
+    assistant_id,
+    updateData: { tools: assistant.tools, tool_resources },
+  });
+};
+
+/**
+ * Deletes a file ID from an assistant's resource.
+ * @param {object} params
+ * @param {Express.Request} params.req
+ * @param {OpenAIClient} params.openai
+ * @param {string} params.assistant_id
+ * @param {string} [params.tool_resource]
+ * @param {string} params.file_id
+ * @param {AssistantUpdateParams} params.updateData
+ * @returns {Promise<Assistant>} The updated assistant.
+ */
+const deleteResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
+  const assistant = await openai.beta.assistants.retrieve(assistant_id);
+  const { tool_resources = {} } = assistant;
+
+  if (tool_resource && tool_resources[tool_resource]) {
+    const resource = tool_resources[tool_resource];
+    const index = resource.file_ids.indexOf(file_id);
+    if (index !== -1) {
+      resource.file_ids.splice(index, 1);
+    }
+  } else {
+    for (const resourceKey in tool_resources) {
+      const resource = tool_resources[resourceKey];
+      const index = resource.file_ids.indexOf(file_id);
+      if (index !== -1) {
+        resource.file_ids.splice(index, 1);
+        break;
+      }
+    }
+  }
+
+  delete assistant.id;
+  return await updateAssistant({
+    req,
+    openai,
+    assistant_id,
+    updateData: { tools: assistant.tools, tool_resources },
+  });
+};
+
+/**
+ * Modifies an assistant.
+ * @route PATCH /assistants/:id
+ * @param {object} req - Express Request
+ * @param {object} req.params - Request params
+ * @param {string} req.params.id - Assistant identifier.
+ * @param {AssistantUpdateParams} req.body - The assistant update parameters.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+const patchAssistant = async (req, res) => {
+  try {
+    const { openai } = await getOpenAIClient({ req, res });
+    const assistant_id = req.params.id;
+    const { endpoint: _e, ...updateData } = req.body;
+    updateData.tools = updateData.tools ?? [];
+    const updatedAssistant = await updateAssistant({ req, openai, assistant_id, updateData });
+    res.json(updatedAssistant);
+  } catch (error) {
+    logger.error('[/assistants/:id] Error updating assistant', error);
+    res.status(500).json({ error: error.message });
+  }
+};
+
+module.exports = {
+  patchAssistant,
+  createAssistant,
+  updateAssistant,
+  addResourceFileId,
+  deleteResourceFileId,
+};

api/server/index.js

@@ -85,6 +85,7 @@ const startServer = async () => {
   app.use('/api/assistants', routes.assistants);
   app.use('/api/files', await routes.files.initialize());
   app.use('/images/', validateImageRequest, routes.staticRoute);
+  app.use('/api/share', routes.share);
 
   app.use((req, res) => {
     res.status(404).sendFile(path.join(app.locals.paths.dist, 'index.html'));

api/server/middleware/abortMiddleware.js

@@ -1,4 +1,4 @@
-const { EModelEndpoint } = require('librechat-data-provider');
+const { isAssistantsEndpoint } = require('librechat-data-provider');
 const { sendMessage, sendError, countTokens, isEnabled } = require('~/server/utils');
 const { truncateText, smartTruncateText } = require('~/app/clients/prompts');
 const { saveMessage, getConvo, getConvoTitle } = require('~/models');
@@ -15,7 +15,7 @@ async function abortMessage(req, res) {
     abortKey = conversationId;
   }
 
-  if (endpoint === EModelEndpoint.assistants) {
+  if (isAssistantsEndpoint(endpoint)) {
     return await abortRun(req, res);
   }
 

api/server/middleware/abortRun.js

@@ -10,7 +10,7 @@ const three_minutes = 1000 * 60 * 3;
 
 async function abortRun(req, res) {
   res.setHeader('Content-Type', 'application/json');
-  const { abortKey } = req.body;
+  const { abortKey, endpoint } = req.body;
   const [conversationId, latestMessageId] = abortKey.split(':');
   const conversation = await getConvo(req.user.id, conversationId);
 
@@ -68,9 +68,10 @@ async function abortRun(req, res) {
 
   runMessages = await checkMessageGaps({
     openai,
-    latestMessageId,
+    endpoint,
     thread_id,
     run_id,
+    latestMessageId,
     conversationId,
   });
 

api/server/middleware/buildEndpointOption.js

@@ -1,5 +1,6 @@
 const { parseConvo, EModelEndpoint } = require('librechat-data-provider');
 const { getModelsConfig } = require('~/server/controllers/ModelController');
+const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
 const assistants = require('~/server/services/Endpoints/assistants');
 const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
 const { processFiles } = require('~/server/services/Files/process');
@@ -18,6 +19,7 @@ const buildFunction = {
   [EModelEndpoint.anthropic]: anthropic.buildOptions,
   [EModelEndpoint.gptPlugins]: gptPlugins.buildOptions,
   [EModelEndpoint.assistants]: assistants.buildOptions,
+  [EModelEndpoint.azureAssistants]: azureAssistants.buildOptions,
 };
 
 async function buildEndpointOption(req, res, next) {
@@ -42,6 +44,15 @@ async function buildEndpointOption(req, res, next) {
       return handleError(res, { text: 'Model spec mismatch' });
     }
 
+    if (
+      currentModelSpec.preset.endpoint !== EModelEndpoint.gptPlugins &&
+      currentModelSpec.preset.tools
+    ) {
+      return handleError(res, {
+        text: `Only the "${EModelEndpoint.gptPlugins}" endpoint can have tools defined in the preset`,
+      });
+    }
+
     const isValidModelSpec = enforceModelSpec(currentModelSpec, parsedBody);
     if (!isValidModelSpec) {
       return handleError(res, { text: 'Model spec mismatch' });

api/server/middleware/enforceModelSpec.js

@@ -24,21 +24,32 @@ const enforceModelSpec = (modelSpec, parsedBody) => {
 
 /**
  * Checks if there is a match for the given key and value in the parsed body
- * or any of its interchangeable keys.
+ * or any of its interchangeable keys, including deep comparison for objects and arrays.
  * @param {string} key
  * @param {any} value
- * @param {TConversation} parsedBody
+ * @param {object} parsedBody
  * @returns {boolean}
  */
 const checkMatch = (key, value, parsedBody) => {
-  if (parsedBody[key] === value) {
+  const isEqual = (a, b) => {
+    if (Array.isArray(a) && Array.isArray(b)) {
+      return a.length === b.length && a.every((val, index) => isEqual(val, b[index]));
+    } else if (typeof a === 'object' && typeof b === 'object' && a !== null && b !== null) {
+      const keysA = Object.keys(a);
+      const keysB = Object.keys(b);
+      return keysA.length === keysB.length && keysA.every((k) => isEqual(a[k], b[k]));
+    }
+    return a === b;
+  };
+
+  if (isEqual(parsedBody[key], value)) {
     return true;
   }
 
   if (interchangeableKeys.has(key)) {
     return interchangeableKeys
       .get(key)
-      .some((interchangeableKey) => parsedBody[interchangeableKey] === value);
+      .some((interchangeableKey) => isEqual(parsedBody[interchangeableKey], value));
   }
 
   return false;

api/server/middleware/enforceModelSpec.spec.js

@@ -0,0 +1,47 @@
+// enforceModelSpec.test.js
+
+const enforceModelSpec = require('./enforceModelSpec');
+
+describe('enforceModelSpec function', () => {
+  test('returns true when all model specs match parsed body directly', () => {
+    const modelSpec = { preset: { title: 'Dialog', status: 'Active' } };
+    const parsedBody = { title: 'Dialog', status: 'Active' };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(true);
+  });
+
+  test('returns true when model specs match via interchangeable keys', () => {
+    const modelSpec = { preset: { chatGptLabel: 'GPT-4' } };
+    const parsedBody = { modelLabel: 'GPT-4' };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(true);
+  });
+
+  test('returns false if any key value does not match', () => {
+    const modelSpec = { preset: { language: 'English', level: 'Advanced' } };
+    const parsedBody = { language: 'Spanish', level: 'Advanced' };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(false);
+  });
+
+  test('ignores the \'endpoint\' key in model spec', () => {
+    const modelSpec = { preset: { endpoint: 'ignored', feature: 'Special' } };
+    const parsedBody = { feature: 'Special' };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(true);
+  });
+
+  test('handles nested objects correctly', () => {
+    const modelSpec = { preset: { details: { time: 'noon', location: 'park' } } };
+    const parsedBody = { details: { time: 'noon', location: 'park' } };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(true);
+  });
+
+  test('handles arrays within objects', () => {
+    const modelSpec = { preset: { tags: ['urgent', 'important'] } };
+    const parsedBody = { tags: ['urgent', 'important'] };
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(true);
+  });
+
+  test('fails when arrays in objects do not match', () => {
+    const modelSpec = { preset: { tags: ['urgent', 'important'] } };
+    const parsedBody = { tags: ['important', 'urgent'] }; // Different order
+    expect(enforceModelSpec(modelSpec, parsedBody)).toBe(false);
+  });
+});

api/server/routes/assistants/actions.js

@@ -2,7 +2,7 @@ const { v4 } = require('uuid');
 const express = require('express');
 const { encryptMetadata, domainParser } = require('~/server/services/ActionService');
 const { actionDelimiter, EModelEndpoint } = require('librechat-data-provider');
-const { initializeClient } = require('~/server/services/Endpoints/assistants');
+const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
 const { updateAction, getActions, deleteAction } = require('~/models/Action');
 const { updateAssistant, getAssistant } = require('~/models/Assistant');
 const { logger } = require('~/config');
@@ -45,7 +45,6 @@ router.post('/:assistant_id', async (req, res) => {
     let metadata = encryptMetadata(_metadata);
 
     let { domain } = metadata;
-    /* Azure doesn't support periods in function names */
     domain = await domainParser(req, domain, true);
 
     if (!domain) {
@@ -55,8 +54,7 @@ router.post('/:assistant_id', async (req, res) => {
     const action_id = _action_id ?? v4();
     const initialPromises = [];
 
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
     initialPromises.push(getAssistant({ assistant_id }));
     initialPromises.push(openai.beta.assistants.retrieve(assistant_id));
@@ -157,9 +155,7 @@ router.delete('/:assistant_id/:action_id/:model', async (req, res) => {
   try {
     const { assistant_id, action_id, model } = req.params;
     req.body.model = model;
-
-    /** @type {{ openai: OpenAI }} */
-    const { openai } = await initializeClient({ req, res });
+    const { openai } = await getOpenAIClient({ req, res });
 
     const initialPromises = [];
     initialPromises.push(getAssistant({ assistant_id }));

api/server/routes/assistants/chatV1.js

@@ -0,0 +1,25 @@
+const express = require('express');
+
+const router = express.Router();
+const {
+  setHeaders,
+  handleAbort,
+  validateModel,
+  // validateEndpoint,
+  buildEndpointOption,
+} = require('~/server/middleware');
+const chatController = require('~/server/controllers/assistants/chatV1');
+
+router.post('/abort', handleAbort());
+
+/**
+ * @route POST /
+ * @desc Chat with an assistant
+ * @access Public
+ * @param {express.Request} req - The request object, containing the request data.
+ * @param {express.Response} res - The response object, used to send back a response.
+ * @returns {void}
+ */
+router.post('/', validateModel, buildEndpointOption, setHeaders, chatController);
+
+module.exports = router;

api/server/routes/assistants/chatV2.js

@@ -0,0 +1,25 @@
+const express = require('express');
+
+const router = express.Router();
+const {
+  setHeaders,
+  handleAbort,
+  validateModel,
+  // validateEndpoint,
+  buildEndpointOption,
+} = require('~/server/middleware');
+const chatController = require('~/server/controllers/assistants/chatV2');
+
+router.post('/abort', handleAbort());
+
+/**
+ * @route POST /
+ * @desc Chat with an assistant
+ * @access Public
+ * @param {express.Request} req - The request object, containing the request data.
+ * @param {express.Response} res - The response object, used to send back a response.
+ * @returns {void}
+ */
+router.post('/', validateModel, buildEndpointOption, setHeaders, chatController);
+
+module.exports = router;

api/server/routes/assistants/index.js

@@ -7,16 +7,19 @@ const {
   // concurrentLimiter,
   // messageIpLimiter,
   // messageUserLimiter,
-} = require('../../middleware');
+} = require('~/server/middleware');
 
-const assistants = require('./assistants');
-const chat = require('./chat');
+const v1 = require('./v1');
+const chatV1 = require('./chatV1');
+const v2 = require('./v2');
+const chatV2 = require('./chatV2');
 
 router.use(requireJwtAuth);
 router.use(checkBan);
 router.use(uaParser);
-
-router.use('/', assistants);
-router.use('/chat', chat);
+router.use('/v1/', v1);
+router.use('/v1/chat', chatV1);
+router.use('/v2/', v2);
+router.use('/v2/chat', chatV2);
 
 module.exports = router;

api/server/routes/assistants/v1.js

@@ -0,0 +1,81 @@
+const multer = require('multer');
+const express = require('express');
+const controllers = require('~/server/controllers/assistants/v1');
+const actions = require('./actions');
+const tools = require('./tools');
+
+const upload = multer();
+const router = express.Router();
+
+/**
+ * Assistant actions route.
+ * @route GET|POST /assistants/actions
+ */
+router.use('/actions', actions);
+
+/**
+ * Create an assistant.
+ * @route GET /assistants/tools
+ * @returns {TPlugin[]} 200 - application/json
+ */
+router.use('/tools', tools);
+
+/**
+ * Create an assistant.
+ * @route POST /assistants
+ * @param {AssistantCreateParams} req.body - The assistant creation parameters.
+ * @returns {Assistant} 201 - success response - application/json
+ */
+router.post('/', controllers.createAssistant);
+
+/**
+ * Retrieves an assistant.
+ * @route GET /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.get('/:id', controllers.retrieveAssistant);
+
+/**
+ * Modifies an assistant.
+ * @route PATCH /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @param {AssistantUpdateParams} req.body - The assistant update parameters.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.patch('/:id', controllers.patchAssistant);
+
+/**
+ * Deletes an assistant.
+ * @route DELETE /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.delete('/:id', controllers.deleteAssistant);
+
+/**
+ * Returns a list of assistants.
+ * @route GET /assistants
+ * @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
+ * @returns {AssistantListResponse} 200 - success response - application/json
+ */
+router.get('/', controllers.listAssistants);
+
+/**
+ * Returns a list of the user's assistant documents (metadata saved to database).
+ * @route GET /assistants/documents
+ * @returns {AssistantDocument[]} 200 - success response - application/json
+ */
+router.get('/documents', controllers.getAssistantDocuments);
+
+/**
+ * Uploads and updates an avatar for a specific assistant.
+ * @route POST /avatar/:assistant_id
+ * @param {string} req.params.assistant_id - The ID of the assistant.
+ * @param {Express.Multer.File} req.file - The avatar image file.
+ * @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
+ * @returns {Object} 200 - success response - application/json
+ */
+router.post('/avatar/:assistant_id', upload.single('file'), controllers.uploadAssistantAvatar);
+
+module.exports = router;

api/server/routes/assistants/v2.js

@@ -0,0 +1,82 @@
+const multer = require('multer');
+const express = require('express');
+const v1 = require('~/server/controllers/assistants/v1');
+const v2 = require('~/server/controllers/assistants/v2');
+const actions = require('./actions');
+const tools = require('./tools');
+
+const upload = multer();
+const router = express.Router();
+
+/**
+ * Assistant actions route.
+ * @route GET|POST /assistants/actions
+ */
+router.use('/actions', actions);
+
+/**
+ * Create an assistant.
+ * @route GET /assistants/tools
+ * @returns {TPlugin[]} 200 - application/json
+ */
+router.use('/tools', tools);
+
+/**
+ * Create an assistant.
+ * @route POST /assistants
+ * @param {AssistantCreateParams} req.body - The assistant creation parameters.
+ * @returns {Assistant} 201 - success response - application/json
+ */
+router.post('/', v2.createAssistant);
+
+/**
+ * Retrieves an assistant.
+ * @route GET /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.get('/:id', v1.retrieveAssistant);
+
+/**
+ * Modifies an assistant.
+ * @route PATCH /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @param {AssistantUpdateParams} req.body - The assistant update parameters.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.patch('/:id', v2.patchAssistant);
+
+/**
+ * Deletes an assistant.
+ * @route DELETE /assistants/:id
+ * @param {string} req.params.id - Assistant identifier.
+ * @returns {Assistant} 200 - success response - application/json
+ */
+router.delete('/:id', v1.deleteAssistant);
+
+/**
+ * Returns a list of assistants.
+ * @route GET /assistants
+ * @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
+ * @returns {AssistantListResponse} 200 - success response - application/json
+ */
+router.get('/', v1.listAssistants);
+
+/**
+ * Returns a list of the user's assistant documents (metadata saved to database).
+ * @route GET /assistants/documents
+ * @returns {AssistantDocument[]} 200 - success response - application/json
+ */
+router.get('/documents', v1.getAssistantDocuments);
+
+/**
+ * Uploads and updates an avatar for a specific assistant.
+ * @route POST /avatar/:assistant_id
+ * @param {string} req.params.assistant_id - The ID of the assistant.
+ * @param {Express.Multer.File} req.file - The avatar image file.
+ * @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
+ * @returns {Object} 200 - success response - application/json
+ */
+router.post('/avatar/:assistant_id', upload.single('file'), v1.uploadAssistantAvatar);
+
+module.exports = router;

api/server/routes/files/files.js

@@ -1,6 +1,6 @@
 const fs = require('fs').promises;
 const express = require('express');
-const { isUUID, FileSources } = require('librechat-data-provider');
+const { isUUID, checkOpenAIStorage } = require('librechat-data-provider');
 const {
   filterFile,
   processFileUpload,
@@ -89,7 +89,7 @@ router.get('/download/:userId/:file_id', async (req, res) => {
       return res.status(403).send('Forbidden');
     }
 
-    if (file.source === FileSources.openai && !file.model) {
+    if (checkOpenAIStorage(file.source) && !file.model) {
       logger.warn(`${errorPrefix} has no associated model: ${file_id}`);
       return res.status(400).send('The model used when creating this file is not available');
     }
@@ -110,7 +110,8 @@ router.get('/download/:userId/:file_id', async (req, res) => {
     let passThrough;
     /** @type {ReadableStream | undefined} */
     let fileStream;
-    if (file.source === FileSources.openai) {
+
+    if (checkOpenAIStorage(file.source)) {
       req.body = { model: file.model };
       const { openai } = await initializeClient({ req, res });
       logger.debug(`Downloading file ${file_id} from OpenAI`);

api/server/routes/index.js

@@ -18,6 +18,7 @@ const config = require('./config');
 const assistants = require('./assistants');
 const files = require('./files');
 const staticRoute = require('./static');
+const share = require('./share');
 
 module.exports = {
   search,
@@ -40,4 +41,5 @@ module.exports = {
   assistants,
   files,
   staticRoute,
+  share,
 };

api/server/routes/search.js

@@ -41,29 +41,10 @@ router.get('/', async function (req, res) {
       return;
     }
 
-    const messages = (
-      await Message.meiliSearch(
-        q,
-        {
-          attributesToHighlight: ['text'],
-          highlightPreTag: '**',
-          highlightPostTag: '**',
-        },
-        true,
-      )
-    ).hits.map((message) => {
-      const { _formatted, ...rest } = message;
-      return {
-        ...rest,
-        searchResult: true,
-        text: _formatted.text,
-      };
-    });
+    const messages = (await Message.meiliSearch(q, undefined, true)).hits;
     const titles = (await Conversation.meiliSearch(q)).hits;
+
     const sortedHits = reduceHits(messages, titles);
-    // debugging:
-    // logger.debug('user:', user, 'message hits:', messages.length, 'convo hits:', titles.length);
-    // logger.debug('sorted hits:', sortedHits.length);
     const result = await getConvosQueried(user, sortedHits, pageNumber);
 
     const activeMessages = [];
@@ -86,8 +67,7 @@ router.get('/', async function (req, res) {
       delete result.cache;
     }
     delete result.convoMap;
-    // for debugging
-    // logger.debug(result, messages.length);
+
     res.status(200).send(result);
   } catch (error) {
     logger.error('[/search] Error while searching messages & conversations', error);

api/server/routes/share.js

@@ -0,0 +1,75 @@
+const express = require('express');
+
+const {
+  getSharedMessages,
+  createSharedLink,
+  updateSharedLink,
+  getSharedLinks,
+  deleteSharedLink,
+} = require('~/models/Share');
+const requireJwtAuth = require('~/server/middleware/requireJwtAuth');
+const router = express.Router();
+
+/**
+ * Shared messages
+ * this route does not require authentication
+ */
+router.get('/:shareId', async (req, res) => {
+  const share = await getSharedMessages(req.params.shareId);
+
+  if (share) {
+    res.status(200).json(share);
+  } else {
+    res.status(404).end();
+  }
+});
+
+/**
+ * Shared links
+ */
+router.get('/', requireJwtAuth, async (req, res) => {
+  let pageNumber = req.query.pageNumber || 1;
+  pageNumber = parseInt(pageNumber, 10);
+
+  if (isNaN(pageNumber) || pageNumber < 1) {
+    return res.status(400).json({ error: 'Invalid page number' });
+  }
+
+  let pageSize = req.query.pageSize || 25;
+  pageSize = parseInt(pageSize, 10);
+
+  if (isNaN(pageSize) || pageSize < 1) {
+    return res.status(400).json({ error: 'Invalid page size' });
+  }
+  const isPublic = req.query.isPublic === 'true';
+  res.status(200).send(await getSharedLinks(req.user.id, pageNumber, pageSize, isPublic));
+});
+
+router.post('/', requireJwtAuth, async (req, res) => {
+  const created = await createSharedLink(req.user.id, req.body);
+  if (created) {
+    res.status(200).json(created);
+  } else {
+    res.status(404).end();
+  }
+});
+
+router.patch('/', requireJwtAuth, async (req, res) => {
+  const updated = await updateSharedLink(req.user.id, req.body);
+  if (updated) {
+    res.status(200).json(updated);
+  } else {
+    res.status(404).end();
+  }
+});
+
+router.delete('/:shareId', requireJwtAuth, async (req, res) => {
+  const deleted = await deleteSharedLink(req.user.id, { shareId: req.params.shareId });
+  if (deleted) {
+    res.status(200).json(deleted);
+  } else {
+    res.status(404).end();
+  }
+});
+
+module.exports = router;

api/server/services/ActionService.js

@@ -1,20 +1,59 @@
 const {
-  AuthTypeEnum,
-  EModelEndpoint,
-  actionDomainSeparator,
   CacheKeys,
   Constants,
+  AuthTypeEnum,
+  actionDelimiter,
+  isImageVisionTool,
+  actionDomainSeparator,
 } = require('librechat-data-provider');
 const { encryptV2, decryptV2 } = require('~/server/utils/crypto');
-const { getActions } = require('~/models/Action');
+const { getActions, deleteActions } = require('~/models/Action');
+const { deleteAssistant } = require('~/models/Assistant');
 const { getLogStores } = require('~/cache');
 const { logger } = require('~/config');
 
+const toolNameRegex = /^[a-zA-Z0-9_-]+$/;
+
+/**
+ * Validates tool name against regex pattern and updates if necessary.
+ * @param {object} params - The parameters for the function.
+ * @param {object} params.req - Express Request.
+ * @param {FunctionTool} params.tool - The tool object.
+ * @param {string} params.assistant_id - The assistant ID
+ * @returns {object|null} - Updated tool object or null if invalid and not an action.
+ */
+const validateAndUpdateTool = async ({ req, tool, assistant_id }) => {
+  let actions;
+  if (isImageVisionTool(tool)) {
+    return null;
+  }
+  if (!toolNameRegex.test(tool.function.name)) {
+    const [functionName, domain] = tool.function.name.split(actionDelimiter);
+    actions = await getActions({ assistant_id, user: req.user.id }, true);
+    const matchingActions = actions.filter((action) => {
+      const metadata = action.metadata;
+      return metadata && metadata.domain === domain;
+    });
+    const action = matchingActions[0];
+    if (!action) {
+      return null;
+    }
+
+    const parsedDomain = await domainParser(req, domain, true);
+
+    if (!parsedDomain) {
+      return null;
+    }
+
+    tool.function.name = `${functionName}${actionDelimiter}${parsedDomain}`;
+  }
+  return tool;
+};
+
 /**
  * Encodes or decodes a domain name to/from base64, or replacing periods with a custom separator.
  *
- * Necessary because Azure OpenAI Assistants API doesn't support periods in function
- * names due to `[a-zA-Z0-9_-]*` Regex Validation, limited to a 64-character maximum.
+ * Necessary due to `[a-zA-Z0-9_-]*` Regex Validation, limited to a 64-character maximum.
  *
  * @param {Express.Request} req - The Express Request object.
  * @param {string} domain - The domain name to encode/decode.
@@ -26,10 +65,6 @@ async function domainParser(req, domain, inverse = false) {
     return;
   }
 
-  if (!req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
-    return domain;
-  }
-
   const domainsCache = getLogStores(CacheKeys.ENCODED_DOMAINS);
   const cachedDomain = await domainsCache.get(domain);
   if (inverse && cachedDomain) {
@@ -170,10 +205,29 @@ function decryptMetadata(metadata) {
   return decryptedMetadata;
 }
 
+/**
+ * Deletes an action and its corresponding assistant.
+ * @param {Object} params - The parameters for the function.
+ * @param {OpenAIClient} params.req - The Express Request object.
+ * @param {string} params.assistant_id - The ID of the assistant.
+ */
+const deleteAssistantActions = async ({ req, assistant_id }) => {
+  try {
+    await deleteActions({ assistant_id, user: req.user.id });
+    await deleteAssistant({ assistant_id, user: req.user.id });
+  } catch (error) {
+    const message = 'Trouble deleting Assistant Actions for Assistant ID: ' + assistant_id;
+    logger.error(message, error);
+    throw new Error(message);
+  }
+};
+
 module.exports = {
-  loadActionSets,
+  deleteAssistantActions,
+  validateAndUpdateTool,
   createActionTool,
   encryptMetadata,
   decryptMetadata,
+  loadActionSets,
   domainParser,
 };

api/server/services/ActionService.spec.js

@@ -73,12 +73,12 @@ describe('domainParser', () => {
   const TLD = '.com';
 
   // Non-azure request
-  it('returns domain as is if not azure', async () => {
+  it('does not return domain as is if not azure', async () => {
     const domain = `example.com${actionDomainSeparator}test${actionDomainSeparator}`;
     const result1 = await domainParser(reqNoAzure, domain, false);
     const result2 = await domainParser(reqNoAzure, domain, true);
-    expect(result1).toEqual(domain);
-    expect(result2).toEqual(domain);
+    expect(result1).not.toEqual(domain);
+    expect(result2).not.toEqual(domain);
   });
 
   // Test for Empty or Null Inputs

api/server/services/AppService.js

@@ -21,6 +21,7 @@ const AppService = async (app) => {
   const configDefaults = getConfigDefaults();
 
   const filteredTools = config.filteredTools;
+  const includedTools = config.includedTools;
   const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
   const imageOutputType = config?.imageOutputType ?? configDefaults.imageOutputType;
 
@@ -37,23 +38,26 @@ const AppService = async (app) => {
   const availableTools = loadAndFormatTools({
     directory: paths.structuredTools,
     adminFilter: filteredTools,
+    adminIncluded: includedTools,
   });
 
   const socialLogins =
     config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
   const interfaceConfig = loadDefaultInterface(config, configDefaults);
 
-  if (!Object.keys(config).length) {
-    app.locals = {
-      paths,
-      fileStrategy,
-      socialLogins,
-      filteredTools,
-      availableTools,
-      imageOutputType,
-      interfaceConfig,
-    };
+  const defaultLocals = {
+    paths,
+    fileStrategy,
+    socialLogins,
+    filteredTools,
+    includedTools,
+    availableTools,
+    imageOutputType,
+    interfaceConfig,
+  };
 
+  if (!Object.keys(config).length) {
+    app.locals = defaultLocals;
     return;
   }
 
@@ -68,7 +72,14 @@ const AppService = async (app) => {
   }
 
   if (config?.endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
-    endpointLocals[EModelEndpoint.assistants] = azureAssistantsDefaults();
+    endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
+  }
+
+  if (config?.endpoints?.[EModelEndpoint.azureAssistants]) {
+    endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
+      config,
+      endpointLocals[EModelEndpoint.azureAssistants],
+    );
   }
 
   if (config?.endpoints?.[EModelEndpoint.assistants]) {
@@ -79,13 +90,7 @@ const AppService = async (app) => {
   }
 
   app.locals = {
-    paths,
-    socialLogins,
-    fileStrategy,
-    filteredTools,
-    availableTools,
-    imageOutputType,
-    interfaceConfig,
+    ...defaultLocals,
     modelSpecs: config.modelSpecs,
     fileConfig: config?.fileConfig,
     secureImageLinks: config?.secureImageLinks,

api/server/services/AppService.spec.js

@@ -253,8 +253,8 @@ describe('AppService', () => {
     process.env.EASTUS_API_KEY = 'eastus-key';
 
     await AppService(app);
-    expect(app.locals).toHaveProperty(EModelEndpoint.assistants);
-    expect(app.locals[EModelEndpoint.assistants].capabilities.length).toEqual(3);
+    expect(app.locals).toHaveProperty(EModelEndpoint.azureAssistants);
+    expect(app.locals[EModelEndpoint.azureAssistants].capabilities.length).toEqual(3);
   });
 
   it('should correctly configure Azure OpenAI endpoint based on custom config', async () => {

api/server/services/AssistantService.js

@@ -78,7 +78,7 @@ async function createOnTextProgress({
  * @return {Promise<OpenAIAssistantFinish | OpenAIAssistantAction[] | ThreadMessage[] | RequiredActionFunctionToolCall[]>}
  */
 async function getResponse({ openai, run_id, thread_id }) {
-  const run = await waitForRun({ openai, run_id, thread_id, pollIntervalMs: 500 });
+  const run = await waitForRun({ openai, run_id, thread_id, pollIntervalMs: 2000 });
 
   if (run.status === RunStatus.COMPLETED) {
     const messages = await openai.beta.threads.messages.list(thread_id, defaultOrderQuery);
@@ -393,8 +393,9 @@ async function runAssistant({
     },
   });
 
+  const { endpoint = EModelEndpoint.azureAssistants } = openai.req.body;
   /** @type {TCustomConfig.endpoints.assistants} */
-  const assistantsEndpointConfig = openai.req.app.locals?.[EModelEndpoint.assistants] ?? {};
+  const assistantsEndpointConfig = openai.req.app.locals?.[endpoint] ?? {};
   const { pollIntervalMs, timeoutMs } = assistantsEndpointConfig;
 
   const run = await waitForRun({

api/server/services/Config/EndpointService.js

@@ -3,6 +3,7 @@ const { isUserProvided, generateConfig } = require('~/server/utils');
 
 const {
   OPENAI_API_KEY: openAIApiKey,
+  AZURE_ASSISTANTS_API_KEY: azureAssistantsApiKey,
   ASSISTANTS_API_KEY: assistantsApiKey,
   AZURE_API_KEY: azureOpenAIApiKey,
   ANTHROPIC_API_KEY: anthropicApiKey,
@@ -13,6 +14,7 @@ const {
   OPENAI_REVERSE_PROXY,
   AZURE_OPENAI_BASEURL,
   ASSISTANTS_BASE_URL,
+  AZURE_ASSISTANTS_BASE_URL,
 } = process.env ?? {};
 
 const useAzurePlugins = !!PLUGINS_USE_AZURE;
@@ -28,11 +30,20 @@ module.exports = {
     useAzurePlugins,
     userProvidedOpenAI,
     googleKey,
-    [EModelEndpoint.openAI]: generateConfig(openAIApiKey, OPENAI_REVERSE_PROXY),
-    [EModelEndpoint.assistants]: generateConfig(assistantsApiKey, ASSISTANTS_BASE_URL, true),
-    [EModelEndpoint.azureOpenAI]: generateConfig(azureOpenAIApiKey, AZURE_OPENAI_BASEURL),
-    [EModelEndpoint.chatGPTBrowser]: generateConfig(chatGPTToken),
-    [EModelEndpoint.anthropic]: generateConfig(anthropicApiKey),
     [EModelEndpoint.bingAI]: generateConfig(bingToken),
+    [EModelEndpoint.anthropic]: generateConfig(anthropicApiKey),
+    [EModelEndpoint.chatGPTBrowser]: generateConfig(chatGPTToken),
+    [EModelEndpoint.openAI]: generateConfig(openAIApiKey, OPENAI_REVERSE_PROXY),
+    [EModelEndpoint.azureOpenAI]: generateConfig(azureOpenAIApiKey, AZURE_OPENAI_BASEURL),
+    [EModelEndpoint.assistants]: generateConfig(
+      assistantsApiKey,
+      ASSISTANTS_BASE_URL,
+      EModelEndpoint.assistants,
+    ),
+    [EModelEndpoint.azureAssistants]: generateConfig(
+      azureAssistantsApiKey,
+      AZURE_ASSISTANTS_BASE_URL,
+      EModelEndpoint.azureAssistants,
+    ),
   },
 };

api/server/services/Config/loadConfigEndpoints.js

@@ -53,7 +53,7 @@ async function loadConfigEndpoints(req) {
 
   if (req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
     /** @type {Omit<TConfig, 'order'>} */
-    endpointsConfig[EModelEndpoint.assistants] = {
+    endpointsConfig[EModelEndpoint.azureAssistants] = {
       userProvide: false,
     };
   }

api/server/services/Config/loadConfigModels.js

@@ -30,7 +30,7 @@ async function loadConfigModels(req) {
   }
 
   if (azureEndpoint?.assistants && azureConfig.assistantModels) {
-    modelsConfig[EModelEndpoint.assistants] = azureConfig.assistantModels;
+    modelsConfig[EModelEndpoint.azureAssistants] = azureConfig.assistantModels;
   }
 
   if (!Array.isArray(endpoints[EModelEndpoint.custom])) {

api/server/services/Config/loadCustomConfig.js

@@ -37,7 +37,7 @@ async function loadCustomConfig() {
     if (!customConfig) {
       i === 0 &&
         logger.info(
-          'Custom config file missing or YAML format invalid.\n\nCheck out the latest config file guide for configurable options and features.\nhttps://docs.librechat.ai/install/configuration/custom_config.html\n\n',
+          'Custom config file missing or YAML format invalid.\n\nCheck out the latest config file guide for configurable options and features.\nhttps://www.librechat.ai/docs/configuration/librechat_yaml\n\n',
         );
       i === 0 && i++;
       return null;
@@ -72,7 +72,7 @@ Please specify a correct \`imageOutputType\` value (case-sensitive).
       - ${EImageOutputType.WEBP}
       
       Refer to the latest config file guide for more information:
-      https://docs.librechat.ai/install/configuration/custom_config.html`,
+      https://www.librechat.ai/docs/configuration/librechat_yaml`,
     );
   }
   if (!result.success) {

api/server/services/Config/loadDefaultEConfig.js

@@ -9,13 +9,15 @@ const { config } = require('./EndpointService');
  */
 async function loadDefaultEndpointsConfig(req) {
   const { google, gptPlugins } = await loadAsyncEndpoints(req);
-  const { openAI, assistants, bingAI, anthropic, azureOpenAI, chatGPTBrowser } = config;
+  const { openAI, assistants, azureAssistants, bingAI, anthropic, azureOpenAI, chatGPTBrowser } =
+    config;
 
   const enabledEndpoints = getEnabledEndpoints();
 
   const endpointConfig = {
     [EModelEndpoint.openAI]: openAI,
     [EModelEndpoint.assistants]: assistants,
+    [EModelEndpoint.azureAssistants]: azureAssistants,
     [EModelEndpoint.azureOpenAI]: azureOpenAI,
     [EModelEndpoint.google]: google,
     [EModelEndpoint.bingAI]: bingAI,

api/server/services/Config/loadDefaultModels.js

@@ -25,6 +25,7 @@ async function loadDefaultModels(req) {
     plugins: true,
   });
   const assistants = await getOpenAIModels({ assistants: true });
+  const azureAssistants = await getOpenAIModels({ azureAssistants: true });
 
   return {
     [EModelEndpoint.openAI]: openAI,
@@ -35,6 +36,7 @@ async function loadDefaultModels(req) {
     [EModelEndpoint.bingAI]: ['BingAI', 'Sydney'],
     [EModelEndpoint.chatGPTBrowser]: chatGPTBrowser,
     [EModelEndpoint.assistants]: assistants,
+    [EModelEndpoint.azureAssistants]: azureAssistants,
   };
 }
 

api/server/services/Endpoints/assistants/index.js

@@ -2,95 +2,8 @@ const addTitle = require('./addTitle');
 const buildOptions = require('./buildOptions');
 const initializeClient = require('./initializeClient');
 
-/**
- * Asynchronously lists assistants based on provided query parameters.
- *
- * Initializes the client with the current request and response objects and lists assistants
- * according to the query parameters. This function abstracts the logic for non-Azure paths.
- *
- * @async
- * @param {object} params - The parameters object.
- * @param {object} params.req - The request object, used for initializing the client.
- * @param {object} params.res - The response object, used for initializing the client.
- * @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
- * @returns {Promise<object>} A promise that resolves to the response from the `openai.beta.assistants.list` method call.
- */
-const listAssistants = async ({ req, res, query }) => {
-  const { openai } = await initializeClient({ req, res });
-  return openai.beta.assistants.list(query);
-};
-
-/**
- * Asynchronously lists assistants for Azure configured groups.
- *
- * Iterates through Azure configured assistant groups, initializes the client with the current request and response objects,
- * lists assistants based on the provided query parameters, and merges their data alongside the model information into a single array.
- *
- * @async
- * @param {object} params - The parameters object.
- * @param {object} params.req - The request object, used for initializing the client and manipulating the request body.
- * @param {object} params.res - The response object, used for initializing the client.
- * @param {TAzureConfig} params.azureConfig - The Azure configuration object containing assistantGroups and groupMap.
- * @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
- * @returns {Promise<AssistantListResponse>} A promise that resolves to an array of assistant data merged with their respective model information.
- */
-const listAssistantsForAzure = async ({ req, res, azureConfig = {}, query }) => {
-  /** @type {Array<[string, TAzureModelConfig]>} */
-  const groupModelTuples = [];
-  const promises = [];
-  /** @type {Array<TAzureGroup>} */
-  const groups = [];
-
-  const { groupMap, assistantGroups } = azureConfig;
-
-  for (const groupName of assistantGroups) {
-    const group = groupMap[groupName];
-    groups.push(group);
-
-    const currentModelTuples = Object.entries(group?.models);
-    groupModelTuples.push(currentModelTuples);
-
-    /* The specified model is only necessary to
-    fetch assistants for the shared instance */
-    req.body.model = currentModelTuples[0][0];
-    promises.push(listAssistants({ req, res, query }));
-  }
-
-  const resolvedQueries = await Promise.all(promises);
-  const data = resolvedQueries.flatMap((res, i) =>
-    res.data.map((assistant) => {
-      const deploymentName = assistant.model;
-      const currentGroup = groups[i];
-      const currentModelTuples = groupModelTuples[i];
-      const firstModel = currentModelTuples[0][0];
-
-      if (currentGroup.deploymentName === deploymentName) {
-        return { ...assistant, model: firstModel };
-      }
-
-      for (const [model, modelConfig] of currentModelTuples) {
-        if (modelConfig.deploymentName === deploymentName) {
-          return { ...assistant, model };
-        }
-      }
-
-      return { ...assistant, model: firstModel };
-    }),
-  );
-
-  return {
-    first_id: data[0]?.id,
-    last_id: data[data.length - 1]?.id,
-    object: 'list',
-    has_more: false,
-    data,
-  };
-};
-
 module.exports = {
   addTitle,
   buildOptions,
   initializeClient,
-  listAssistants,
-  listAssistantsForAzure,
 };

api/server/services/Endpoints/assistants/initializeClient.js

@@ -1,11 +1,6 @@
 const OpenAI = require('openai');
 const { HttpsProxyAgent } = require('https-proxy-agent');
-const {
-  ErrorTypes,
-  EModelEndpoint,
-  resolveHeaders,
-  mapModelToAzureConfig,
-} = require('librechat-data-provider');
+const { ErrorTypes, EModelEndpoint } = require('librechat-data-provider');
 const {
   getUserKeyValues,
   getUserKeyExpiry,
@@ -13,9 +8,8 @@ const {
 } = require('~/server/services/UserService');
 const OpenAIClient = require('~/app/clients/OpenAIClient');
 const { isUserProvided } = require('~/server/utils');
-const { constructAzureURL } = require('~/utils');
 
-const initializeClient = async ({ req, res, endpointOption, initAppClient = false }) => {
+const initializeClient = async ({ req, res, endpointOption, version, initAppClient = false }) => {
   const { PROXY, OPENAI_ORGANIZATION, ASSISTANTS_API_KEY, ASSISTANTS_BASE_URL } = process.env;
 
   const userProvidesKey = isUserProvided(ASSISTANTS_API_KEY);
@@ -34,7 +28,11 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
   let apiKey = userProvidesKey ? userValues.apiKey : ASSISTANTS_API_KEY;
   let baseURL = userProvidesURL ? userValues.baseURL : ASSISTANTS_BASE_URL;
 
-  const opts = {};
+  const opts = {
+    defaultHeaders: {
+      'OpenAI-Beta': `assistants=${version}`,
+    },
+  };
 
   const clientOptions = {
     reverseProxyUrl: baseURL ?? null,
@@ -44,54 +42,6 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
     ...endpointOption,
   };
 
-  /** @type {TAzureConfig | undefined} */
-  const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
-
-  /** @type {AzureOptions | undefined} */
-  let azureOptions;
-
-  if (azureConfig && azureConfig.assistants) {
-    const { modelGroupMap, groupMap, assistantModels } = azureConfig;
-    const modelName = req.body.model ?? req.query.model ?? assistantModels[0];
-    const {
-      azureOptions: currentOptions,
-      baseURL: azureBaseURL,
-      headers = {},
-      serverless,
-    } = mapModelToAzureConfig({
-      modelName,
-      modelGroupMap,
-      groupMap,
-    });
-
-    azureOptions = currentOptions;
-
-    baseURL = constructAzureURL({
-      baseURL: azureBaseURL ?? 'https://${INSTANCE_NAME}.openai.azure.com/openai',
-      azureOptions,
-    });
-
-    apiKey = azureOptions.azureOpenAIApiKey;
-    opts.defaultQuery = { 'api-version': azureOptions.azureOpenAIApiVersion };
-    opts.defaultHeaders = resolveHeaders({ ...headers, 'api-key': apiKey });
-    opts.model = azureOptions.azureOpenAIApiDeploymentName;
-
-    if (initAppClient) {
-      clientOptions.titleConvo = azureConfig.titleConvo;
-      clientOptions.titleModel = azureConfig.titleModel;
-      clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
-
-      const groupName = modelGroupMap[modelName].group;
-      clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
-      clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
-      clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
-
-      clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
-      clientOptions.headers = opts.defaultHeaders;
-      clientOptions.azure = !serverless && azureOptions;
-    }
-  }
-
   if (userProvidesKey & !apiKey) {
     throw new Error(
       JSON.stringify({
@@ -125,10 +75,6 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
   openai.req = req;
   openai.res = res;
 
-  if (azureOptions) {
-    openai.locals = { ...(openai.locals ?? {}), azureOptions };
-  }
-
   if (endpointOption && initAppClient) {
     const client = new OpenAIClient(apiKey, clientOptions);
     return {

api/server/services/Endpoints/azureAssistants/buildOptions.js

@@ -0,0 +1,19 @@
+const buildOptions = (endpoint, parsedBody) => {
+  // eslint-disable-next-line no-unused-vars
+  const { promptPrefix, assistant_id, iconURL, greeting, spec, ...rest } = parsedBody;
+  const endpointOption = {
+    endpoint,
+    promptPrefix,
+    assistant_id,
+    iconURL,
+    greeting,
+    spec,
+    modelOptions: {
+      ...rest,
+    },
+  };
+
+  return endpointOption;
+};
+
+module.exports = buildOptions;

api/server/services/Endpoints/azureAssistants/index.js

@@ -0,0 +1,7 @@
+const buildOptions = require('./buildOptions');
+const initializeClient = require('./initializeClient');
+
+module.exports = {
+  buildOptions,
+  initializeClient,
+};

api/server/services/Endpoints/azureAssistants/initializeClient.js

@@ -0,0 +1,195 @@
+const OpenAI = require('openai');
+const { HttpsProxyAgent } = require('https-proxy-agent');
+const {
+  ErrorTypes,
+  EModelEndpoint,
+  resolveHeaders,
+  mapModelToAzureConfig,
+} = require('librechat-data-provider');
+const {
+  getUserKeyValues,
+  getUserKeyExpiry,
+  checkUserKeyExpiry,
+} = require('~/server/services/UserService');
+const OpenAIClient = require('~/app/clients/OpenAIClient');
+const { isUserProvided } = require('~/server/utils');
+const { constructAzureURL } = require('~/utils');
+
+class Files {
+  constructor(client) {
+    this._client = client;
+  }
+  /**
+   * Create an assistant file by attaching a
+   * [File](https://platform.openai.com/docs/api-reference/files) to an
+   * [assistant](https://platform.openai.com/docs/api-reference/assistants).
+   */
+  create(assistantId, body, options) {
+    return this._client.post(`/assistants/${assistantId}/files`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+    });
+  }
+
+  /**
+   * Retrieves an AssistantFile.
+   */
+  retrieve(assistantId, fileId, options) {
+    return this._client.get(`/assistants/${assistantId}/files/${fileId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+    });
+  }
+
+  /**
+   * Delete an assistant file.
+   */
+  del(assistantId, fileId, options) {
+    return this._client.delete(`/assistants/${assistantId}/files/${fileId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+    });
+  }
+}
+
+const initializeClient = async ({ req, res, version, endpointOption, initAppClient = false }) => {
+  const { PROXY, OPENAI_ORGANIZATION, AZURE_ASSISTANTS_API_KEY, AZURE_ASSISTANTS_BASE_URL } =
+    process.env;
+
+  const userProvidesKey = isUserProvided(AZURE_ASSISTANTS_API_KEY);
+  const userProvidesURL = isUserProvided(AZURE_ASSISTANTS_BASE_URL);
+
+  let userValues = null;
+  if (userProvidesKey || userProvidesURL) {
+    const expiresAt = await getUserKeyExpiry({
+      userId: req.user.id,
+      name: EModelEndpoint.azureAssistants,
+    });
+    checkUserKeyExpiry(expiresAt, EModelEndpoint.azureAssistants);
+    userValues = await getUserKeyValues({
+      userId: req.user.id,
+      name: EModelEndpoint.azureAssistants,
+    });
+  }
+
+  let apiKey = userProvidesKey ? userValues.apiKey : AZURE_ASSISTANTS_API_KEY;
+  let baseURL = userProvidesURL ? userValues.baseURL : AZURE_ASSISTANTS_BASE_URL;
+
+  const opts = {};
+
+  const clientOptions = {
+    reverseProxyUrl: baseURL ?? null,
+    proxy: PROXY ?? null,
+    req,
+    res,
+    ...endpointOption,
+  };
+
+  /** @type {TAzureConfig | undefined} */
+  const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
+
+  /** @type {AzureOptions | undefined} */
+  let azureOptions;
+
+  if (azureConfig && azureConfig.assistants) {
+    const { modelGroupMap, groupMap, assistantModels } = azureConfig;
+    const modelName = req.body.model ?? req.query.model ?? assistantModels[0];
+    const {
+      azureOptions: currentOptions,
+      baseURL: azureBaseURL,
+      headers = {},
+      serverless,
+    } = mapModelToAzureConfig({
+      modelName,
+      modelGroupMap,
+      groupMap,
+    });
+
+    azureOptions = currentOptions;
+
+    baseURL = constructAzureURL({
+      baseURL: azureBaseURL ?? 'https://${INSTANCE_NAME}.openai.azure.com/openai',
+      azureOptions,
+    });
+
+    apiKey = azureOptions.azureOpenAIApiKey;
+    opts.defaultQuery = { 'api-version': azureOptions.azureOpenAIApiVersion };
+    opts.defaultHeaders = resolveHeaders({
+      ...headers,
+      'api-key': apiKey,
+      'OpenAI-Beta': `assistants=${version}`,
+    });
+    opts.model = azureOptions.azureOpenAIApiDeploymentName;
+
+    if (initAppClient) {
+      clientOptions.titleConvo = azureConfig.titleConvo;
+      clientOptions.titleModel = azureConfig.titleModel;
+      clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
+
+      const groupName = modelGroupMap[modelName].group;
+      clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
+      clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
+      clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
+
+      clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
+      clientOptions.headers = opts.defaultHeaders;
+      clientOptions.azure = !serverless && azureOptions;
+    }
+  }
+
+  if (userProvidesKey & !apiKey) {
+    throw new Error(
+      JSON.stringify({
+        type: ErrorTypes.NO_USER_KEY,
+      }),
+    );
+  }
+
+  if (!apiKey) {
+    throw new Error('Assistants API key not provided. Please provide it again.');
+  }
+
+  if (baseURL) {
+    opts.baseURL = baseURL;
+  }
+
+  if (PROXY) {
+    opts.httpAgent = new HttpsProxyAgent(PROXY);
+  }
+
+  if (OPENAI_ORGANIZATION) {
+    opts.organization = OPENAI_ORGANIZATION;
+  }
+
+  /** @type {OpenAIClient} */
+  const openai = new OpenAI({
+    apiKey,
+    ...opts,
+  });
+
+  openai.beta.assistants.files = new Files(openai);
+
+  openai.req = req;
+  openai.res = res;
+
+  if (azureOptions) {
+    openai.locals = { ...(openai.locals ?? {}), azureOptions };
+  }
+
+  if (endpointOption && initAppClient) {
+    const client = new OpenAIClient(apiKey, clientOptions);
+    return {
+      client,
+      openai,
+      openAIApiKey: apiKey,
+    };
+  }
+
+  return {
+    openai,
+    openAIApiKey: apiKey,
+  };
+};
+
+module.exports = initializeClient;

api/server/services/Endpoints/azureAssistants/initializeClient.spec.js

@@ -0,0 +1,112 @@
+// const OpenAI = require('openai');
+const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ErrorTypes } = require('librechat-data-provider');
+const { getUserKey, getUserKeyExpiry, getUserKeyValues } = require('~/server/services/UserService');
+const initializeClient = require('./initializeClient');
+// const { OpenAIClient } = require('~/app');
+
+jest.mock('~/server/services/UserService', () => ({
+  getUserKey: jest.fn(),
+  getUserKeyExpiry: jest.fn(),
+  getUserKeyValues: jest.fn(),
+  checkUserKeyExpiry: jest.requireActual('~/server/services/UserService').checkUserKeyExpiry,
+}));
+
+const today = new Date();
+const tenDaysFromToday = new Date(today.setDate(today.getDate() + 10));
+const isoString = tenDaysFromToday.toISOString();
+
+describe('initializeClient', () => {
+  // Set up environment variables
+  const originalEnvironment = process.env;
+  const app = {
+    locals: {},
+  };
+
+  beforeEach(() => {
+    jest.resetModules(); // Clears the cache
+    process.env = { ...originalEnvironment }; // Make a copy
+  });
+
+  afterAll(() => {
+    process.env = originalEnvironment; // Restore original env vars
+  });
+
+  test('initializes OpenAI client with default API key and URL', async () => {
+    process.env.AZURE_ASSISTANTS_API_KEY = 'default-api-key';
+    process.env.AZURE_ASSISTANTS_BASE_URL = 'https://default.api.url';
+
+    // Assuming 'isUserProvided' to return false for this test case
+    jest.mock('~/server/utils', () => ({
+      isUserProvided: jest.fn().mockReturnValueOnce(false),
+    }));
+
+    const req = { user: { id: 'user123' }, app };
+    const res = {};
+
+    const { openai, openAIApiKey } = await initializeClient({ req, res });
+    expect(openai.apiKey).toBe('default-api-key');
+    expect(openAIApiKey).toBe('default-api-key');
+    expect(openai.baseURL).toBe('https://default.api.url');
+  });
+
+  test('initializes OpenAI client with user-provided API key and URL', async () => {
+    process.env.AZURE_ASSISTANTS_API_KEY = 'user_provided';
+    process.env.AZURE_ASSISTANTS_BASE_URL = 'user_provided';
+
+    getUserKeyValues.mockResolvedValue({ apiKey: 'user-api-key', baseURL: 'https://user.api.url' });
+    getUserKeyExpiry.mockResolvedValue(isoString);
+
+    const req = { user: { id: 'user123' }, app };
+    const res = {};
+
+    const { openai, openAIApiKey } = await initializeClient({ req, res });
+    expect(openAIApiKey).toBe('user-api-key');
+    expect(openai.apiKey).toBe('user-api-key');
+    expect(openai.baseURL).toBe('https://user.api.url');
+  });
+
+  test('throws error for invalid JSON in user-provided values', async () => {
+    process.env.AZURE_ASSISTANTS_API_KEY = 'user_provided';
+    getUserKey.mockResolvedValue('invalid-json');
+    getUserKeyExpiry.mockResolvedValue(isoString);
+    getUserKeyValues.mockImplementation(() => {
+      let userValues = getUserKey();
+      try {
+        userValues = JSON.parse(userValues);
+      } catch (e) {
+        throw new Error(
+          JSON.stringify({
+            type: ErrorTypes.INVALID_USER_KEY,
+          }),
+        );
+      }
+      return userValues;
+    });
+
+    const req = { user: { id: 'user123' } };
+    const res = {};
+
+    await expect(initializeClient({ req, res })).rejects.toThrow(/invalid_user_key/);
+  });
+
+  test('throws error if API key is not provided', async () => {
+    delete process.env.AZURE_ASSISTANTS_API_KEY; // Simulate missing API key
+
+    const req = { user: { id: 'user123' }, app };
+    const res = {};
+
+    await expect(initializeClient({ req, res })).rejects.toThrow(/Assistants API key not/);
+  });
+
+  test('initializes OpenAI client with proxy configuration', async () => {
+    process.env.AZURE_ASSISTANTS_API_KEY = 'test-key';
+    process.env.PROXY = 'http://proxy.server';
+
+    const req = { user: { id: 'user123' }, app };
+    const res = {};
+
+    const { openai } = await initializeClient({ req, res });
+    expect(openai.httpAgent).toBeInstanceOf(HttpsProxyAgent);
+  });
+});

api/server/services/Files/Firebase/crud.js

@@ -180,7 +180,15 @@ const deleteFirebaseFile = async (req, file) => {
   if (!fileName.includes(req.user.id)) {
     throw new Error('Invalid file path');
   }
-  await deleteFile('', fileName);
+  try {
+    await deleteFile('', fileName);
+  } catch (error) {
+    logger.error('Error deleting file from Firebase:', error);
+    if (error.code === 'storage/object-not-found') {
+      return;
+    }
+    throw error;
+  }
 };
 
 /**

api/server/services/Files/OpenAI/crud.js

@@ -14,9 +14,11 @@ const { logger } = require('~/config');
  * @returns {Promise<OpenAIFile>}
  */
 async function uploadOpenAIFile({ req, file, openai }) {
+  const { height, width } = req.body;
+  const isImage = height && width;
   const uploadedFile = await openai.files.create({
     file: fs.createReadStream(file.path),
-    purpose: FilePurpose.Assistants,
+    purpose: isImage ? FilePurpose.Vision : FilePurpose.Assistants,
   });
 
   logger.debug(
@@ -34,7 +36,7 @@ async function uploadOpenAIFile({ req, file, openai }) {
     await sleep(sleepTime);
   }
 
-  return uploadedFile;
+  return isImage ? { ...uploadedFile, height, width } : uploadedFile;
 }
 
 /**

api/server/services/Files/process.js

@@ -10,10 +10,13 @@ const {
   EModelEndpoint,
   mergeFileConfig,
   hostImageIdSuffix,
+  checkOpenAIStorage,
   hostImageNamePrefix,
+  isAssistantsEndpoint,
 } = require('librechat-data-provider');
+const { addResourceFileId, deleteResourceFileId } = require('~/server/controllers/assistants/v2');
 const { convertImage, resizeAndConvert } = require('~/server/services/Files/images');
-const { initializeClient } = require('~/server/services/Endpoints/assistants');
+const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
 const { createFile, updateFileUsage, deleteFiles } = require('~/models/File');
 const { LB_QueueAsyncCall } = require('~/server/utils/queue');
 const { getStrategyFunctions } = require('./strategies');
@@ -34,14 +37,16 @@ const processFiles = async (files) => {
 /**
  * Enqueues the delete operation to the leaky bucket queue if necessary, or adds it directly to promises.
  *
- * @param {Express.Request} req - The express request object.
- * @param {MongoFile} file - The file object to delete.
- * @param {Function} deleteFile - The delete file function.
- * @param {Promise[]} promises - The array of promises to await.
- * @param {OpenAI | undefined} [openai] - If an OpenAI file, the initialized OpenAI client.
+ * @param {object} params - The passed parameters.
+ * @param {Express.Request} params.req - The express request object.
+ * @param {MongoFile} params.file - The file object to delete.
+ * @param {Function} params.deleteFile - The delete file function.
+ * @param {Promise[]} params.promises - The array of promises to await.
+ * @param {string[]} params.resolvedFileIds - The array of promises to await.
+ * @param {OpenAI | undefined} [params.openai] - If an OpenAI file, the initialized OpenAI client.
  */
-function enqueueDeleteOperation(req, file, deleteFile, promises, openai) {
-  if (file.source === FileSources.openai) {
+function enqueueDeleteOperation({ req, file, deleteFile, promises, resolvedFileIds, openai }) {
+  if (checkOpenAIStorage(file.source)) {
     // Enqueue to leaky bucket
     promises.push(
       new Promise((resolve, reject) => {
@@ -53,6 +58,7 @@ function enqueueDeleteOperation(req, file, deleteFile, promises, openai) {
               logger.error('Error deleting file from OpenAI source', err);
               reject(err);
             } else {
+              resolvedFileIds.push(file.file_id);
               resolve(result);
             }
           },
@@ -62,10 +68,12 @@ function enqueueDeleteOperation(req, file, deleteFile, promises, openai) {
   } else {
     // Add directly to promises
     promises.push(
-      deleteFile(req, file).catch((err) => {
-        logger.error('Error deleting file', err);
-        return Promise.reject(err);
-      }),
+      deleteFile(req, file)
+        .then(() => resolvedFileIds.push(file.file_id))
+        .catch((err) => {
+          logger.error('Error deleting file', err);
+          return Promise.reject(err);
+        }),
     );
   }
 }
@@ -80,35 +88,71 @@ function enqueueDeleteOperation(req, file, deleteFile, promises, openai) {
  * @param {Express.Request} params.req - The express request object.
  * @param {DeleteFilesBody} params.req.body - The request body.
  * @param {string} [params.req.body.assistant_id] - The assistant ID if file uploaded is associated to an assistant.
+ * @param {string} [params.req.body.tool_resource] - The tool resource if assistant file uploaded is associated to a tool resource.
  *
  * @returns {Promise<void>}
  */
 const processDeleteRequest = async ({ req, files }) => {
-  const file_ids = files.map((file) => file.file_id);
-
+  const resolvedFileIds = [];
   const deletionMethods = {};
   const promises = [];
-  promises.push(deleteFiles(file_ids));
 
-  /** @type {OpenAI | undefined} */
-  let openai;
-  if (req.body.assistant_id) {
-    ({ openai } = await initializeClient({ req }));
+  /** @type {Record<string, OpenAI | undefined>} */
+  const client = { [FileSources.openai]: undefined, [FileSources.azure]: undefined };
+  const initializeClients = async () => {
+    const openAIClient = await getOpenAIClient({
+      req,
+      overrideEndpoint: EModelEndpoint.assistants,
+    });
+    client[FileSources.openai] = openAIClient.openai;
+
+    if (!req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
+      return;
+    }
+
+    const azureClient = await getOpenAIClient({
+      req,
+      overrideEndpoint: EModelEndpoint.azureAssistants,
+    });
+    client[FileSources.azure] = azureClient.openai;
+  };
+
+  if (req.body.assistant_id !== undefined) {
+    await initializeClients();
   }
 
   for (const file of files) {
     const source = file.source ?? FileSources.local;
 
-    if (source === FileSources.openai && !openai) {
-      ({ openai } = await initializeClient({ req }));
+    if (checkOpenAIStorage(source) && !client[source]) {
+      await initializeClients();
     }
 
-    if (req.body.assistant_id) {
+    const openai = client[source];
+
+    if (req.body.assistant_id && req.body.tool_resource) {
+      promises.push(
+        deleteResourceFileId({
+          req,
+          openai,
+          file_id: file.file_id,
+          assistant_id: req.body.assistant_id,
+          tool_resource: req.body.tool_resource,
+        }),
+      );
+    } else if (req.body.assistant_id) {
       promises.push(openai.beta.assistants.files.del(req.body.assistant_id, file.file_id));
     }
 
     if (deletionMethods[source]) {
-      enqueueDeleteOperation(req, file, deletionMethods[source], promises, openai);
+      enqueueDeleteOperation({
+        req,
+        file,
+        deleteFile: deletionMethods[source],
+        promises,
+        resolvedFileIds,
+        openai,
+      });
       continue;
     }
 
@@ -118,10 +162,11 @@ const processDeleteRequest = async ({ req, files }) => {
     }
 
     deletionMethods[source] = deleteFile;
-    enqueueDeleteOperation(req, file, deleteFile, promises, openai);
+    enqueueDeleteOperation({ req, file, deleteFile, promises, resolvedFileIds, openai });
   }
 
   await Promise.allSettled(promises);
+  await deleteFiles(resolvedFileIds);
 };
 
 /**
@@ -180,12 +225,13 @@ const processFileURL = async ({ fileStrategy, userId, URL, fileName, basePath, c
  *
  * @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.Response} [params.res] - The Express response object.
  * @param {Express.Multer.File} params.file - The uploaded file.
  * @param {ImageMetadata} params.metadata - Additional metadata for the file.
+ * @param {boolean} params.returnFile - Whether to return the file metadata or return response as normal.
  * @returns {Promise<void>}
  */
-const processImageFile = async ({ req, res, file, metadata }) => {
+const processImageFile = async ({ req, res, file, metadata, returnFile = false }) => {
   const source = req.app.locals.fileStrategy;
   const { handleImageUpload } = getStrategyFunctions(source);
   const { file_id, temp_file_id, endpoint } = metadata;
@@ -213,6 +259,10 @@ const processImageFile = async ({ req, res, file, metadata }) => {
     },
     true,
   );
+
+  if (returnFile) {
+    return result;
+  }
   res.status(200).json({ message: 'File uploaded and processed successfully', ...result });
 };
 
@@ -274,28 +324,57 @@ const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true })
  * @returns {Promise<void>}
  */
 const processFileUpload = async ({ req, res, file, metadata }) => {
-  const isAssistantUpload = metadata.endpoint === EModelEndpoint.assistants;
-  const source = isAssistantUpload ? FileSources.openai : FileSources.vectordb;
+  const isAssistantUpload = isAssistantsEndpoint(metadata.endpoint);
+  const assistantSource =
+    metadata.endpoint === EModelEndpoint.azureAssistants ? FileSources.azure : FileSources.openai;
+  const source = isAssistantUpload ? assistantSource : FileSources.vectordb;
   const { handleFileUpload } = getStrategyFunctions(source);
   const { file_id, temp_file_id } = metadata;
 
   /** @type {OpenAI | undefined} */
   let openai;
-  if (source === FileSources.openai) {
-    ({ openai } = await initializeClient({ req }));
+  if (checkOpenAIStorage(source)) {
+    ({ openai } = await getOpenAIClient({ req }));
   }
 
-  const { id, bytes, filename, filepath, embedded } = await handleFileUpload({
+  const {
+    id,
+    bytes,
+    filename,
+    filepath: _filepath,
+    embedded,
+    height,
+    width,
+  } = await handleFileUpload({
     req,
     file,
     file_id,
     openai,
   });
 
-  if (isAssistantUpload && !metadata.message_file) {
+  if (isAssistantUpload && !metadata.message_file && !metadata.tool_resource) {
     await openai.beta.assistants.files.create(metadata.assistant_id, {
       file_id: id,
     });
+  } else if (isAssistantUpload && !metadata.message_file) {
+    await addResourceFileId({
+      req,
+      openai,
+      file_id: id,
+      assistant_id: metadata.assistant_id,
+      tool_resource: metadata.tool_resource,
+    });
+  }
+
+  let filepath = isAssistantUpload ? `${openai.baseURL}/files/${id}` : _filepath;
+  if (isAssistantUpload && file.mimetype.startsWith('image')) {
+    const result = await processImageFile({
+      req,
+      file,
+      metadata: { file_id: v4() },
+      returnFile: true,
+    });
+    filepath = result.filepath;
   }
 
   const result = await createFile(
@@ -304,13 +383,15 @@ const processFileUpload = async ({ req, res, file, metadata }) => {
       file_id: id ?? file_id,
       temp_file_id,
       bytes,
+      filepath,
       filename: filename ?? file.originalname,
-      filepath: isAssistantUpload ? `${openai.baseURL}/files/${id}` : filepath,
       context: isAssistantUpload ? FileContext.assistants : FileContext.message_attachment,
       model: isAssistantUpload ? req.body.model : undefined,
       type: file.mimetype,
       embedded,
       source,
+      height,
+      width,
     },
     true,
   );
@@ -340,7 +421,10 @@ const processOpenAIFile = async ({
     originalName ? `/${originalName}` : ''
   }`;
   const type = mime.getType(originalName ?? file_id);
-
+  const source =
+    openai.req.body.endpoint === EModelEndpoint.azureAssistants
+      ? FileSources.azure
+      : FileSources.openai;
   const file = {
     ..._file,
     type,
@@ -349,7 +433,7 @@ const processOpenAIFile = async ({
     usage: 1,
     user: userId,
     context: _file.purpose,
-    source: FileSources.openai,
+    source,
     model: openai.req.body.model,
     filename: originalName ?? file_id,
   };
@@ -394,12 +478,14 @@ const processOpenAIImageOutput = async ({ req, buffer, file_id, filename, fileEx
     filename: `${hostImageNamePrefix}${filename}`,
   };
   createFile(file, true);
+  const source =
+    req.body.endpoint === EModelEndpoint.azureAssistants ? FileSources.azure : FileSources.openai;
   createFile(
     {
       ...file,
       file_id,
       filename,
-      source: FileSources.openai,
+      source,
       type: mime.getType(fileExt),
     },
     true,
@@ -500,7 +586,12 @@ async function retrieveAndProcessFile({
  * Filters a file based on its size and the endpoint origin.
  *
  * @param {Object} params - The parameters for the function.
- * @param {Express.Request} params.req - The request object from Express.
+ * @param {object} params.req - The request object from Express.
+ * @param {string} [params.req.endpoint]
+ * @param {string} [params.req.file_id]
+ * @param {number} [params.req.width]
+ * @param {number} [params.req.height]
+ * @param {number} [params.req.version]
  * @param {Express.Multer.File} params.file - The file uploaded to the server via multer.
  * @param {boolean} [params.image] - Whether the file expected is an image.
  * @returns {void}

api/server/services/Files/strategies.js

@@ -111,6 +111,8 @@ const getStrategyFunctions = (fileSource) => {
     return localStrategy();
   } else if (fileSource === FileSources.openai) {
     return openAIStrategy();
+  } else if (fileSource === FileSources.azure) {
+    return openAIStrategy();
   } else if (fileSource === FileSources.vectordb) {
     return vectorStrategy();
   } else {

api/server/services/ModelService.js

@@ -167,6 +167,8 @@ const getOpenAIModels = async (opts) => {
 
   if (opts.assistants) {
     models = defaultModels[EModelEndpoint.assistants];
+  } else if (opts.azure) {
+    models = defaultModels[EModelEndpoint.azureAssistants];
   }
 
   if (opts.plugins) {

api/server/services/Runs/handle.js

@@ -55,7 +55,7 @@ async function createRun({ openai, thread_id, body }) {
  * @param {string} params.run_id - The ID of the run to wait for.
  * @param {string} params.thread_id - The ID of the thread associated with the run.
  * @param {RunManager} params.runManager - The RunManager instance to manage run steps.
- * @param {number} [params.pollIntervalMs=750] - The interval for polling the run status; default is 750 milliseconds.
+ * @param {number} [params.pollIntervalMs=2000] - The interval for polling the run status; default is 2000 milliseconds.
  * @param {number} [params.timeout=180000] - The period to wait until timing out polling; default is 3 minutes (in ms).
  * @return {Promise<Run>} A promise that resolves to the last fetched run object.
  */
@@ -64,7 +64,7 @@ async function waitForRun({
   run_id,
   thread_id,
   runManager,
-  pollIntervalMs = 750,
+  pollIntervalMs = 2000,
   timeout = 60000 * 3,
 }) {
   let timeElapsed = 0;
@@ -233,7 +233,7 @@ async function _handleRun({ openai, run_id, thread_id }) {
     run_id,
     thread_id,
     runManager,
-    pollIntervalMs: 750,
+    pollIntervalMs: 2000,
     timeout: 60000,
   });
   const actions = [];

api/server/services/Threads/manage.js

@@ -3,7 +3,6 @@ const { v4 } = require('uuid');
 const {
   Constants,
   ContentTypes,
-  EModelEndpoint,
   AnnotationTypes,
   defaultOrderQuery,
 } = require('librechat-data-provider');
@@ -50,6 +49,7 @@ async function initThread({ openai, body, thread_id: _thread_id }) {
  * @param {string} params.assistant_id - The current assistant Id.
  * @param {string} params.thread_id - The thread Id.
  * @param {string} params.conversationId - The message's conversationId
+ * @param {string} params.endpoint - The conversation endpoint
  * @param {string} [params.parentMessageId] - Optional if initial message.
  * Defaults to Constants.NO_PARENT.
  * @param {string} [params.instructions] - Optional: from preset for `instructions` field.
@@ -82,7 +82,7 @@ async function saveUserMessage(params) {
 
   const userMessage = {
     user: params.user,
-    endpoint: EModelEndpoint.assistants,
+    endpoint: params.endpoint,
     messageId: params.messageId,
     conversationId: params.conversationId,
     parentMessageId: params.parentMessageId ?? Constants.NO_PARENT,
@@ -96,7 +96,7 @@ async function saveUserMessage(params) {
   };
 
   const convo = {
-    endpoint: EModelEndpoint.assistants,
+    endpoint: params.endpoint,
     conversationId: params.conversationId,
     promptPrefix: params.promptPrefix,
     instructions: params.instructions,
@@ -126,6 +126,7 @@ async function saveUserMessage(params) {
  * @param {string} params.model - The model used by the assistant.
  * @param {ContentPart[]} params.content - The message content parts.
  * @param {string} params.conversationId - The message's conversationId
+ * @param {string} params.endpoint - The conversation endpoint
  * @param {string} params.parentMessageId - The latest user message that triggered this response.
  * @param {string} [params.instructions] - Optional: from preset for `instructions` field.
  * Overrides the instructions of the assistant.
@@ -145,7 +146,7 @@ async function saveAssistantMessage(params) {
 
   const message = await recordMessage({
     user: params.user,
-    endpoint: EModelEndpoint.assistants,
+    endpoint: params.endpoint,
     messageId: params.messageId,
     conversationId: params.conversationId,
     parentMessageId: params.parentMessageId,
@@ -160,7 +161,7 @@ async function saveAssistantMessage(params) {
   });
 
   await saveConvo(params.user, {
-    endpoint: EModelEndpoint.assistants,
+    endpoint: params.endpoint,
     conversationId: params.conversationId,
     promptPrefix: params.promptPrefix,
     instructions: params.instructions,
@@ -205,20 +206,22 @@ async function addThreadMetadata({ openai, thread_id, messageId, messages }) {
  *
  * @param {Object} params - The parameters for synchronizing messages.
  * @param {OpenAIClient} params.openai - The OpenAI client instance.
+ * @param {string} params.endpoint - The current endpoint.
+ * @param {string} params.thread_id - The current thread ID.
  * @param {TMessage[]} params.dbMessages - The LibreChat DB messages.
  * @param {ThreadMessage[]} params.apiMessages - The thread messages from the API.
- * @param {string} params.conversationId - The current conversation ID.
- * @param {string} params.thread_id - The current thread ID.
  * @param {string} [params.assistant_id] - The current assistant ID.
+ * @param {string} params.conversationId - The current conversation ID.
  * @return {Promise<TMessage[]>} A promise that resolves to the updated messages
  */
 async function syncMessages({
   openai,
-  apiMessages,
-  dbMessages,
-  conversationId,
+  endpoint,
   thread_id,
+  dbMessages,
+  apiMessages,
   assistant_id,
+  conversationId,
 }) {
   let result = [];
   let dbMessageMap = new Map(dbMessages.map((msg) => [msg.messageId, msg]));
@@ -290,7 +293,7 @@ async function syncMessages({
         thread_id,
         conversationId,
         messageId: v4(),
-        endpoint: EModelEndpoint.assistants,
+        endpoint,
         parentMessageId: lastMessage ? lastMessage.messageId : Constants.NO_PARENT,
         role: apiMessage.role,
         isCreatedByUser: apiMessage.role === 'user',
@@ -382,13 +385,21 @@ function mapMessagesToSteps(steps, messages) {
  *
  * @param {Object} params - The parameters for initializing a thread.
  * @param {OpenAIClient} params.openai - The OpenAI client instance.
+ * @param {string} params.endpoint - The current endpoint.
  * @param {string} [params.latestMessageId] - Optional: The latest message ID from LibreChat.
  * @param {string} params.thread_id - Response thread ID.
  * @param {string} params.run_id - Response Run ID.
  * @param {string} params.conversationId - LibreChat conversation ID.
  * @return {Promise<TMessage[]>} A promise that resolves to the updated messages
  */
-async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, conversationId }) {
+async function checkMessageGaps({
+  openai,
+  endpoint,
+  latestMessageId,
+  thread_id,
+  run_id,
+  conversationId,
+}) {
   const promises = [];
   promises.push(openai.beta.threads.messages.list(thread_id, defaultOrderQuery));
   promises.push(openai.beta.threads.runs.steps.list(thread_id, run_id));
@@ -406,6 +417,7 @@ async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, co
     role: 'assistant',
     run_id,
     thread_id,
+    endpoint,
     metadata: {
       messageId: latestMessageId,
     },
@@ -452,11 +464,12 @@ async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, co
 
   const syncedMessages = await syncMessages({
     openai,
+    endpoint,
+    thread_id,
     dbMessages,
     apiMessages,
-    thread_id,
-    conversationId,
     assistant_id,
+    conversationId,
   });
 
   return Object.values(
@@ -498,41 +511,62 @@ const recordUsage = async ({
 };
 
 /**
- * Safely replaces the annotated text within the specified range denoted by start_index and end_index,
- * after verifying that the text within that range matches the given annotation text.
- * Proceeds with the replacement even if a mismatch is found, but logs a warning.
+ * Creates a replaceAnnotation function with internal state for tracking the index offset.
  *
- * @param {string} originalText The original text content.
- * @param {number} start_index The starting index where replacement should begin.
- * @param {number} end_index The ending index where replacement should end.
- * @param {string} expectedText The text expected to be found in the specified range.
- * @param {string} replacementText The text to insert in place of the existing content.
- * @returns {string} The text with the replacement applied, regardless of text match.
+ * @returns {function} The replaceAnnotation function with closure for index offset.
  */
-function replaceAnnotation(originalText, start_index, end_index, expectedText, replacementText) {
-  if (start_index < 0 || end_index > originalText.length || start_index > end_index) {
-    logger.warn(`Invalid range specified for annotation replacement.
-    Attempting replacement with \`replace\` method instead...
-    length: ${originalText.length}
-    start_index: ${start_index}
-    end_index: ${end_index}`);
-    return originalText.replace(originalText, replacementText);
+function createReplaceAnnotation() {
+  let indexOffset = 0;
+
+  /**
+   * Safely replaces the annotated text within the specified range denoted by start_index and end_index,
+   * after verifying that the text within that range matches the given annotation text.
+   * Proceeds with the replacement even if a mismatch is found, but logs a warning.
+   *
+   * @param {object} params The original text content.
+   * @param {string} params.currentText The current text content, with/without replacements.
+   * @param {number} params.start_index The starting index where replacement should begin.
+   * @param {number} params.end_index The ending index where replacement should end.
+   * @param {string} params.expectedText The text expected to be found in the specified range.
+   * @param {string} params.replacementText The text to insert in place of the existing content.
+   * @returns {string} The text with the replacement applied, regardless of text match.
+   */
+  function replaceAnnotation({
+    currentText,
+    start_index,
+    end_index,
+    expectedText,
+    replacementText,
+  }) {
+    const adjustedStartIndex = start_index + indexOffset;
+    const adjustedEndIndex = end_index + indexOffset;
+
+    if (
+      adjustedStartIndex < 0 ||
+      adjustedEndIndex > currentText.length ||
+      adjustedStartIndex > adjustedEndIndex
+    ) {
+      logger.warn(`Invalid range specified for annotation replacement.
+      Attempting replacement with \`replace\` method instead...
+      length: ${currentText.length}
+      start_index: ${adjustedStartIndex}
+      end_index: ${adjustedEndIndex}`);
+      return currentText.replace(expectedText, replacementText);
+    }
+
+    if (currentText.substring(adjustedStartIndex, adjustedEndIndex) !== expectedText) {
+      return currentText.replace(expectedText, replacementText);
+    }
+
+    indexOffset += replacementText.length - (adjustedEndIndex - adjustedStartIndex);
+    return (
+      currentText.slice(0, adjustedStartIndex) +
+      replacementText +
+      currentText.slice(adjustedEndIndex)
+    );
   }
 
-  const actualTextInRange = originalText.substring(start_index, end_index);
-
-  if (actualTextInRange !== expectedText) {
-    logger.warn(`The text within the specified range does not match the expected annotation text.
-    Attempting replacement with \`replace\` method instead...
-    Expected: ${expectedText}
-    Actual: ${actualTextInRange}`);
-
-    return originalText.replace(originalText, replacementText);
-  }
-
-  const beforeText = originalText.substring(0, start_index);
-  const afterText = originalText.substring(end_index);
-  return beforeText + replacementText + afterText;
+  return replaceAnnotation;
 }
 
 /**
@@ -581,6 +615,11 @@ async function processMessages({ openai, client, messages = [] }) {
         continue;
       }
 
+      const originalText = currentText;
+      text += originalText;
+
+      const replaceAnnotation = createReplaceAnnotation();
+
       logger.debug('[processMessages] Processing annotations:', annotations);
       for (const annotation of annotations) {
         let file;
@@ -589,14 +628,16 @@ async function processMessages({ openai, client, messages = [] }) {
         const file_id = annotationType?.file_id;
         const alreadyProcessed = client.processedFileIds.has(file_id);
 
-        const replaceCurrentAnnotation = (replacement = '') => {
-          currentText = replaceAnnotation(
+        const replaceCurrentAnnotation = (replacementText = '') => {
+          const { start_index, end_index, text: expectedText } = annotation;
+          currentText = replaceAnnotation({
+            originalText,
             currentText,
-            annotation.start_index,
-            annotation.end_index,
-            annotation.text,
-            replacement,
-          );
+            start_index,
+            end_index,
+            expectedText,
+            replacementText,
+          });
           edited = true;
         };
 
@@ -623,7 +664,7 @@ async function processMessages({ openai, client, messages = [] }) {
           replaceCurrentAnnotation(`^${sources.length}^`);
         }
 
-        text += currentText + ' ';
+        text = currentText;
 
         if (!file) {
           continue;

api/server/services/ToolService.js

@@ -39,57 +39,65 @@ const filteredTools = new Set([
  * @param {object} params - The parameters for the function.
  * @param {string} params.directory - The directory path where the tools are located.
  * @param {Array<string>} [params.adminFilter=[]] - Array of admin-defined tool keys to exclude from loading.
+ * @param {Array<string>} [params.adminIncluded=[]] - Array of admin-defined tool keys to include from loading.
  * @returns {Record<string, FunctionTool>} An object mapping each tool's plugin key to its instance.
  */
-function loadAndFormatTools({ directory, adminFilter = [] }) {
+function loadAndFormatTools({ directory, adminFilter = [], adminIncluded = [] }) {
   const filter = new Set([...adminFilter, ...filteredTools]);
+  const included = new Set(adminIncluded);
   const tools = [];
   /* Structured Tools Directory */
   const files = fs.readdirSync(directory);
 
-  for (const file of files) {
-    if (file.endsWith('.js') && !filter.has(file)) {
-      const filePath = path.join(directory, file);
-      let ToolClass = null;
-      try {
-        ToolClass = require(filePath);
-      } catch (error) {
-        logger.error(`[loadAndFormatTools] Error loading tool from ${filePath}:`, error);
-        continue;
-      }
-
-      if (!ToolClass) {
-        continue;
-      }
-
-      if (ToolClass.prototype instanceof StructuredTool) {
-        /** @type {StructuredTool | null} */
-        let toolInstance = null;
-        try {
-          toolInstance = new ToolClass({ override: true });
-        } catch (error) {
-          logger.error(
-            `[loadAndFormatTools] Error initializing \`${file}\` tool; if it requires authentication, is the \`override\` field configured?`,
-            error,
-          );
-          continue;
-        }
-
-        if (!toolInstance) {
-          continue;
-        }
-
-        const formattedTool = formatToOpenAIAssistantTool(toolInstance);
-        tools.push(formattedTool);
-      }
-    }
+  if (included.size > 0 && adminFilter.length > 0) {
+    logger.warn(
+      'Both `includedTools` and `filteredTools` are defined; `filteredTools` will be ignored.',
+    );
   }
 
-  /**
-   * Basic Tools; schema: { input: string }
-   */
-  const basicToolInstances = [new Calculator()];
+  for (const file of files) {
+    const filePath = path.join(directory, file);
+    if (!file.endsWith('.js') || (filter.has(file) && included.size === 0)) {
+      continue;
+    }
 
+    let ToolClass = null;
+    try {
+      ToolClass = require(filePath);
+    } catch (error) {
+      logger.error(`[loadAndFormatTools] Error loading tool from ${filePath}:`, error);
+      continue;
+    }
+
+    if (!ToolClass || !(ToolClass.prototype instanceof StructuredTool)) {
+      continue;
+    }
+
+    if (included.size > 0 && !included.has(file)) {
+      continue;
+    }
+
+    let toolInstance = null;
+    try {
+      toolInstance = new ToolClass({ override: true });
+    } catch (error) {
+      logger.error(
+        `[loadAndFormatTools] Error initializing \`${file}\` tool; if it requires authentication, is the \`override\` field configured?`,
+        error,
+      );
+      continue;
+    }
+
+    if (!toolInstance) {
+      continue;
+    }
+
+    const formattedTool = formatToOpenAIAssistantTool(toolInstance);
+    tools.push(formattedTool);
+  }
+
+  /** Basic Tools; schema: { input: string } */
+  const basicToolInstances = [new Calculator()];
   for (const toolInstance of basicToolInstances) {
     const formattedTool = formatToOpenAIAssistantTool(toolInstance);
     tools.push(formattedTool);

api/server/services/start/assistants.js

@@ -2,6 +2,7 @@ const {
   Capabilities,
   EModelEndpoint,
   assistantEndpointSchema,
+  defaultAssistantsVersion,
 } = require('librechat-data-provider');
 const { logger } = require('~/config');
 
@@ -12,6 +13,7 @@ const { logger } = require('~/config');
 function azureAssistantsDefaults() {
   return {
     capabilities: [Capabilities.tools, Capabilities.actions, Capabilities.code_interpreter],
+    version: defaultAssistantsVersion.azureAssistants,
   };
 }
 

api/server/services/start/azureOpenAI.js

@@ -41,6 +41,17 @@ function azureConfigSetup(config) {
     );
   }
 
+  if (
+    azureConfiguration.assistants &&
+    process.env.ENDPOINTS &&
+    !process.env.ENDPOINTS.includes(EModelEndpoint.azureAssistants)
+  ) {
+    logger.warn(
+      `Azure Assistants are configured, but the endpoint will not be accessible as it's not included in the ENDPOINTS environment variable.
+      Please add the value "${EModelEndpoint.azureAssistants}" to the ENDPOINTS list if expected.`,
+    );
+  }
+
   return {
     modelNames,
     modelGroupMap,

api/server/services/start/checks.js

@@ -27,15 +27,13 @@ function checkVariables() {
   }
 
   if (hasDefaultSecrets) {
-    logger.info(
-      `Please replace any default secret values.
-      
-      For your conveninence, fork & run this replit to generate your own secret values:
+    logger.info('Please replace any default secret values.');
+    logger.info(`\u200B
 
-      https://replit.com/@daavila/crypto#index.js
-      
-      `,
-    );
+    For your convenience, use this tool to generate your own secret values:
+    https://www.librechat.ai/toolkit/creds_generator
+
+    \u200B`);
   }
 
   if (process.env.GOOGLE_API_KEY) {
@@ -99,7 +97,12 @@ function checkAzureVariables() {
 function checkConfig(config) {
   if (config.version !== Constants.CONFIG_VERSION) {
     logger.info(
-      `\nOutdated Config version: ${config.version}. Current version: ${Constants.CONFIG_VERSION}\n\nCheck out the latest config file guide for new options and features.\nhttps://docs.librechat.ai/install/configuration/custom_config.html\n\n`,
+      `\nOutdated Config version: ${config.version}
+Latest version: ${Constants.CONFIG_VERSION}
+
+      Check out the Config changelogs for the latest options and features added.
+
+      https://www.librechat.ai/changelog\n\n`,
     );
   }
 }

api/server/utils/handleText.js

@@ -1,4 +1,10 @@
-const { Capabilities, defaultRetrievalModels } = require('librechat-data-provider');
+const {
+  Capabilities,
+  EModelEndpoint,
+  isAssistantsEndpoint,
+  defaultRetrievalModels,
+  defaultAssistantsVersion,
+} = require('librechat-data-provider');
 const { getCitations, citeText } = require('./citations');
 const partialRight = require('lodash/partialRight');
 const { sendMessage } = require('./streamResponse');
@@ -154,9 +160,10 @@ const isUserProvided = (value) => value === 'user_provided';
  * Generate the configuration for a given key and base URL.
  * @param {string} key
  * @param {string} baseURL
+ * @param {string} endpoint
  * @returns {boolean | { userProvide: boolean, userProvideURL?: boolean }}
  */
-function generateConfig(key, baseURL, assistants = false) {
+function generateConfig(key, baseURL, endpoint) {
   if (!key) {
     return false;
   }
@@ -168,6 +175,8 @@ function generateConfig(key, baseURL, assistants = false) {
     config.userProvideURL = isUserProvided(baseURL);
   }
 
+  const assistants = isAssistantsEndpoint(endpoint);
+
   if (assistants) {
     config.retrievalModels = defaultRetrievalModels;
     config.capabilities = [
@@ -179,6 +188,12 @@ function generateConfig(key, baseURL, assistants = false) {
     ];
   }
 
+  if (assistants && endpoint === EModelEndpoint.azureAssistants) {
+    config.version = defaultAssistantsVersion.azureAssistants;
+  } else if (assistants) {
+    config.version = defaultAssistantsVersion.assistants;
+  }
+
   return config;
 }
 

api/server/utils/import/importers.js

@@ -202,7 +202,7 @@ function processConversation(conv, importBatchBuilder, requestUserId) {
     const isCreatedByUser = role === 'user';
     let sender = isCreatedByUser ? 'user' : 'GPT-3.5';
     const model = mapping.message.metadata.model_slug || openAISettings.model.default;
-    if (model === 'gpt-4') {
+    if (model.includes('gpt-4')) {
       sender = 'GPT-4';
     }
 

api/strategies/openidStrategy.js

@@ -1,3 +1,4 @@
+const fetch = require('node-fetch');
 const passport = require('passport');
 const jwtDecode = require('jsonwebtoken/decode');
 const { Issuer, Strategy: OpenIDStrategy } = require('openid-client');

api/typedefs.js

@@ -657,6 +657,12 @@
  * @memberof typedefs
  */
 
+/**
+ * @exports OpenAISpecClient
+ * @typedef {import('./app/clients/OpenAIClient')} OpenAISpecClient
+ * @memberof typedefs
+ */
+
 /**
  * @exports ImportBatchBuilder
  * @typedef {import('./server/utils/import/importBatchBuilder.js').ImportBatchBuilder} ImportBatchBuilder

api/utils/tokens.js

@@ -48,6 +48,7 @@ const openAIModels = {
   'gpt-4-32k-0613': 32758, // -10 from max
   'gpt-4-1106': 127990, // -10 from max
   'gpt-4-0125': 127990, // -10 from max
+  'gpt-4o': 127990, // -10 from max
   'gpt-4-turbo': 127990, // -10 from max
   'gpt-4-vision': 127990, // -10 from max
   'gpt-3.5-turbo': 16375, // -10 from max

client/src/Providers/SearchContext.tsx

@@ -0,0 +1,6 @@
+import { createContext, useContext } from 'react';
+import useSearch from '~/hooks/Conversations/useSearch';
+type SearchContextType = ReturnType<typeof useSearch>;
+
+export const SearchContext = createContext<SearchContextType>({} as SearchContextType);
+export const useSearchContext = () => useContext(SearchContext);

client/src/Providers/ShareContext.tsx

@@ -0,0 +1,5 @@
+import { createContext, useContext } from 'react';
+type TShareContext = { isSharedConvo?: boolean };
+
+export const ShareContext = createContext<TShareContext>({} as TShareContext);
+export const useShareContext = () => useContext(ShareContext);

client/src/Providers/index.ts

@@ -1,7 +1,9 @@
 export { default as ToastProvider } from './ToastContext';
 export { default as AssistantsProvider } from './AssistantsContext';
 export * from './ChatContext';
+export * from './ShareContext';
 export * from './ToastContext';
+export * from './SearchContext';
 export * from './FileMapContext';
 export * from './AssistantsContext';
 export * from './AssistantsMapContext';

client/src/common/assistants-types.ts

@@ -4,7 +4,11 @@ import type { Option, ExtendedFile } from './types';
 
 export type TAssistantOption =
   | string
-  | (Option & Assistant & { files?: Array<[string, ExtendedFile]> });
+  | (Option &
+      Assistant & {
+        files?: Array<[string, ExtendedFile]>;
+        code_files?: Array<[string, ExtendedFile]>;
+      });
 
 export type Actions = {
   [Capabilities.code_interpreter]: boolean;

client/src/common/types.ts

@@ -8,10 +8,12 @@ import type {
   TPreset,
   TPlugin,
   TMessage,
+  Assistant,
   TLoginUser,
   AuthTypeEnum,
   TConversation,
   EModelEndpoint,
+  AssistantsEndpoint,
   AuthorizationTypeEnum,
   TSetOption as SetOption,
   TokenExchangeMethodEnum,
@@ -19,6 +21,13 @@ import type {
 import type { UseMutationResult } from '@tanstack/react-query';
 import type { LucideIcon } from 'lucide-react';
 
+export type AssistantListItem = {
+  id: string;
+  name: string;
+  metadata: Assistant['metadata'];
+  model: string;
+};
+
 export type TPluginMap = Record<string, TPlugin>;
 
 export type GenericSetter<T> = (value: T | ((currentValue: T) => T)) => void;
@@ -101,6 +110,8 @@ export type AssistantPanelProps = {
   actions?: Action[];
   assistant_id?: string;
   activePanel?: string;
+  endpoint: AssistantsEndpoint;
+  version: number | string;
   setAction: React.Dispatch<React.SetStateAction<Action | undefined>>;
   setCurrentAssistantId: React.Dispatch<React.SetStateAction<string | undefined>>;
   setActivePanel: React.Dispatch<React.SetStateAction<Panel>>;
@@ -315,6 +326,7 @@ export type IconProps = Pick<TMessage, 'isCreatedByUser' | 'model'> &
     iconURL?: string;
     message?: boolean;
     className?: string;
+    iconClassName?: string;
     endpoint?: EModelEndpoint | string | null;
     endpointType?: EModelEndpoint | null;
     assistantName?: string;
@@ -327,7 +339,11 @@ export type Option = Record<string, unknown> & {
 };
 
 export type OptionWithIcon = Option & { icon?: React.ReactNode };
-export type MentionOption = OptionWithIcon & { type: string; value: string; description?: string };
+export type MentionOption = OptionWithIcon & {
+  type: string;
+  value: string;
+  description?: string;
+};
 
 export type TOptionSettings = {
   showExamples?: boolean;

client/src/components/Auth/Login.tsx

@@ -21,6 +21,10 @@ function Login() {
     }
   }, [isAuthenticated, navigate]);
 
+  useEffect(() => {
+    document.title = startupConfig?.appTitle || 'LibreChat';
+  }, [startupConfig?.appTitle]);
+
   if (!startupConfig) {
     return null;
   }

client/src/components/Auth/Registration.tsx

@@ -13,6 +13,10 @@ const Registration: React.FC = () => {
   const { data: startupConfig } = useGetStartupConfig();
   const localize = useLocalize();
 
+  useEffect(() => {
+    document.title = startupConfig?.appTitle || 'LibreChat';
+  }, [startupConfig?.appTitle]);
+
   const {
     register,
     watch,

client/src/components/Chat/ExportAndShareMenu.tsx

@@ -0,0 +1,63 @@
+import { useState } from 'react';
+import { Upload } from 'lucide-react';
+import { useRecoilValue } from 'recoil';
+import { useLocation } from 'react-router-dom';
+import type { TConversation } from 'librechat-data-provider';
+import DropDownMenu from '../Conversations/DropDownMenu';
+import ShareButton from '../Conversations/ShareButton';
+import HoverToggle from '../Conversations/HoverToggle';
+import ExportButton from './ExportButton';
+import store from '~/store';
+
+export default function ExportAndShareMenu() {
+  const location = useLocation();
+
+  const activeConvo = useRecoilValue(store.conversationByIndex(0));
+  const globalConvo = useRecoilValue(store.conversation) ?? ({} as TConversation);
+  const [isPopoverActive, setIsPopoverActive] = useState(false);
+  let conversation: TConversation | null | undefined;
+  if (location.state?.from?.pathname.includes('/chat')) {
+    conversation = globalConvo;
+  } else {
+    conversation = activeConvo;
+  }
+
+  const exportable =
+    conversation &&
+    conversation.conversationId &&
+    conversation.conversationId !== 'new' &&
+    conversation.conversationId !== 'search';
+
+  if (!exportable) {
+    return <></>;
+  }
+
+  const isActiveConvo = exportable;
+
+  return (
+    <HoverToggle
+      isActiveConvo={!!isActiveConvo}
+      isPopoverActive={isPopoverActive}
+      setIsPopoverActive={setIsPopoverActive}
+    >
+      <DropDownMenu
+        icon={<Upload />}
+        tooltip="Export/Share"
+        className="pointer-cursor relative z-50 flex h-[40px] min-w-4 flex-none flex-col items-center justify-center rounded-md border border-gray-100 bg-white px-3 text-left hover:bg-gray-50 focus:outline-none focus:ring-0 focus:ring-offset-0 radix-state-open:bg-gray-50 dark:border-gray-700 dark:bg-gray-800 dark:hover:bg-gray-700 dark:radix-state-open:bg-gray-700 sm:text-sm"
+      >
+        {conversation && conversation.conversationId && (
+          <>
+            <ExportButton conversation={conversation} setPopoverActive={setIsPopoverActive} />
+            <ShareButton
+              conversationId={conversation.conversationId}
+              title={conversation.title ?? ''}
+              appendLabel={true}
+              className="mb-[3.5px]"
+              setPopoverActive={setIsPopoverActive}
+            />
+          </>
+        )}
+      </DropDownMenu>
+    </HoverToggle>
+  );
+}

client/src/components/Chat/ExportButton.tsx

@@ -1,68 +1,41 @@
 import React from 'react';
 
 import { useState } from 'react';
-import { useLocation } from 'react-router-dom';
 import type { TConversation } from 'librechat-data-provider';
-import { Download } from 'lucide-react';
-import { TooltipProvider, Tooltip, TooltipTrigger, TooltipContent } from '~/components/ui';
+import { Upload } from 'lucide-react';
 import { useLocalize } from '~/hooks';
 import { ExportModal } from '../Nav';
-import { useRecoilValue } from 'recoil';
-import store from '~/store';
 
-function ExportButton() {
+function ExportButton({
+  conversation,
+  setPopoverActive,
+}: {
+  conversation: TConversation;
+  setPopoverActive: (value: boolean) => void;
+}) {
   const localize = useLocalize();
-  const location = useLocation();
 
   const [showExports, setShowExports] = useState(false);
 
-  const activeConvo = useRecoilValue(store.conversationByIndex(0));
-  const globalConvo = useRecoilValue(store.conversation) ?? ({} as TConversation);
-
-  let conversation: TConversation | null | undefined;
-  if (location.state?.from?.pathname.includes('/chat')) {
-    conversation = globalConvo;
-  } else {
-    conversation = activeConvo;
-  }
-
   const clickHandler = () => {
-    if (exportable) {
-      setShowExports(true);
-    }
+    setShowExports(true);
   };
 
-  const exportable =
-    conversation &&
-    conversation.conversationId &&
-    conversation.conversationId !== 'new' &&
-    conversation.conversationId !== 'search';
+  const onOpenChange = (value: boolean) => {
+    setShowExports(value);
+    setPopoverActive(value);
+  };
 
   return (
     <>
-      {exportable && (
-        <div className="flex gap-1 gap-2 pr-1">
-          <TooltipProvider delayDuration={50}>
-            <Tooltip>
-              <TooltipTrigger asChild>
-                <button
-                  className="btn btn-neutral btn-small relative flex h-9 w-9 items-center justify-center whitespace-nowrap rounded-lg"
-                  onClick={clickHandler}
-                >
-                  <div className="flex w-full items-center justify-center gap-2">
-                    <Download size={16} />
-                  </div>
-                </button>
-              </TooltipTrigger>
-              <TooltipContent side="right" sideOffset={5}>
-                {localize('com_nav_export_conversation')}
-              </TooltipContent>
-            </Tooltip>
-          </TooltipProvider>
-        </div>
-      )}
+      <button
+        onClick={clickHandler}
+        className="group m-1.5 flex w-full cursor-pointer items-center gap-2 rounded p-2.5 text-sm hover:bg-gray-200 focus-visible:bg-gray-200 focus-visible:outline-0 radix-disabled:pointer-events-none radix-disabled:opacity-50 dark:hover:bg-gray-600 dark:focus-visible:bg-gray-600"
+      >
+        <Upload size={16} /> {localize('com_nav_export')}
+      </button>
       {showExports && (
-        <ExportModal open={showExports} onOpenChange={setShowExports} conversation={conversation} />
+        <ExportModal open={showExports} onOpenChange={onOpenChange} conversation={conversation} />
       )}
     </>
   );

client/src/components/Chat/Footer.tsx

@@ -3,7 +3,7 @@ import { Constants } from 'librechat-data-provider';
 import { useGetStartupConfig } from 'librechat-data-provider/react-query';
 import { useLocalize } from '~/hooks';
 
-export default function Footer() {
+export default function Footer({ className }: { className?: string }) {
   const { data: config } = useGetStartupConfig();
   const localize = useLocalize();
 
@@ -52,7 +52,12 @@ export default function Footer() {
   );
 
   return (
-    <div className="relative flex items-center justify-center gap-2 px-2 py-2 text-xs text-gray-600 dark:text-gray-300 md:px-[60px]">
+    <div
+      className={
+        className ||
+        'relative flex items-center justify-center gap-2 px-2 py-2 text-xs text-gray-600 dark:text-gray-300 md:px-[60px]'
+      }
+    >
       {footerElements.map((contentRender, index) => {
         const isLastElement = index === footerElements.length - 1;
         return (

client/src/components/Chat/Header.tsx

@@ -6,6 +6,7 @@ import type { ContextType } from '~/common';
 import { EndpointsMenu, ModelSpecsMenu, PresetsMenu, HeaderNewChat } from './Menus';
 import HeaderOptions from './Input/HeaderOptions';
 import ExportButton from './ExportButton';
+import ExportAndShareMenu from './ExportAndShareMenu';
 
 const defaultInterface = getConfigDefaults().interface;
 
@@ -28,7 +29,7 @@ export default function Header() {
           {<HeaderOptions interfaceConfig={interfaceConfig} />}
           {interfaceConfig.presets && <PresetsMenu />}
         </div>
-        <ExportButton />
+        <ExportAndShareMenu />
       </div>
       {/* Empty div for spacing */}
       <div />

client/src/components/Chat/Input/ChatForm.tsx

@@ -3,8 +3,8 @@ import { useForm } from 'react-hook-form';
 import { memo, useCallback, useRef, useMemo } from 'react';
 import {
   supportsFiles,
-  EModelEndpoint,
   mergeFileConfig,
+  isAssistantsEndpoint,
   fileConfig as defaultFileConfig,
 } from 'librechat-data-provider';
 import { useChatContext, useAssistantsMapContext } from '~/Providers';
@@ -74,8 +74,9 @@ const ChatForm = ({ index = 0 }) => {
   const endpointFileConfig = fileConfig.endpoints[endpoint ?? ''];
   const invalidAssistant = useMemo(
     () =>
-      conversation?.endpoint === EModelEndpoint.assistants &&
-      (!conversation?.assistant_id || !assistantMap?.[conversation?.assistant_id ?? '']),
+      isAssistantsEndpoint(conversation?.endpoint) &&
+      (!conversation?.assistant_id ||
+        !assistantMap?.[conversation?.endpoint ?? '']?.[conversation?.assistant_id ?? '']),
     [conversation?.assistant_id, conversation?.endpoint, assistantMap],
   );
   const disableInputs = useMemo(

client/src/components/Chat/Input/Files/FilePreview.tsx

@@ -2,6 +2,7 @@ import type { TFile } from 'librechat-data-provider';
 import type { ExtendedFile } from '~/common';
 import FileIcon from '~/components/svg/Files/FileIcon';
 import ProgressCircle from './ProgressCircle';
+import SourceIcon from './SourceIcon';
 import { useProgress } from '~/hooks';
 import { cn } from '~/utils';
 
@@ -20,8 +21,7 @@ const FilePreview = ({
 }) => {
   const radius = 55; // Radius of the SVG circle
   const circumference = 2 * Math.PI * radius;
-  const progress = useProgress(file?.['progress'] ?? 1, 0.001, file?.size ?? 1);
-  console.log(progress);
+  const progress = useProgress(file?.['progress'] ?? 1, 0.001, (file as ExtendedFile)?.size ?? 1);
 
   // Calculate the offset based on the loading progress
   const offset = circumference - progress * circumference;
@@ -32,6 +32,7 @@ const FilePreview = ({
   return (
     <div className={cn('h-10 w-10 shrink-0 overflow-hidden rounded-md', className)}>
       <FileIcon file={file} fileType={fileType} />
+      <SourceIcon source={file?.source} />
       {progress < 1 && (
         <ProgressCircle
           circumference={circumference}

client/src/components/Chat/Input/Files/FileRow.tsx

@@ -1,4 +1,5 @@
 import { useEffect } from 'react';
+import { EToolResources } from 'librechat-data-provider';
 import type { ExtendedFile } from '~/common';
 import { useDeleteFilesMutation } from '~/data-provider';
 import { useFileDeletion } from '~/hooks/Files';
@@ -10,6 +11,7 @@ export default function FileRow({
   setFiles,
   setFilesLoading,
   assistant_id,
+  tool_resource,
   fileFilter,
   Wrapper,
 }: {
@@ -18,6 +20,7 @@ export default function FileRow({
   setFilesLoading: React.Dispatch<React.SetStateAction<boolean>>;
   fileFilter?: (file: ExtendedFile) => boolean;
   assistant_id?: string;
+  tool_resource?: EToolResources;
   Wrapper?: React.FC<{ children: React.ReactNode }>;
 }) {
   const files = Array.from(_files.values()).filter((file) =>
@@ -25,7 +28,8 @@ export default function FileRow({
   );
 
   const { mutateAsync } = useDeleteFilesMutation({
-    onMutate: async () => console.log('Deleting files: assistant_id', assistant_id),
+    onMutate: async () =>
+      console.log('Deleting files: assistant_id, tool_resource', assistant_id, tool_resource),
     onSuccess: () => {
       console.log('Files deleted');
     },
@@ -34,7 +38,7 @@ export default function FileRow({
     },
   });
 
-  const { deleteFile } = useFileDeletion({ mutateAsync, assistant_id });
+  const { deleteFile } = useFileDeletion({ mutateAsync, assistant_id, tool_resource });
 
   useEffect(() => {
     if (!files) {
@@ -82,6 +86,7 @@ export default function FileRow({
                   url={file.preview}
                   onDelete={handleDelete}
                   progress={file.progress}
+                  source={file.source}
                 />
               );
             }

client/src/components/Chat/Input/Files/FilesView.tsx

@@ -12,16 +12,9 @@ export default function Files({ open, onOpenChange }) {
   const { data: files = [] } = useGetFiles<TFile[]>({
     select: (files) =>
       files.map((file) => {
-        if (file.source === FileSources.local || file.source === FileSources.openai) {
-          file.context = file.context ?? FileContext.unknown;
-          return file;
-        } else {
-          return {
-            ...file,
-            context: file.context ?? FileContext.unknown,
-            source: FileSources.local,
-          };
-        }
+        file.context = file.context ?? FileContext.unknown;
+        file.filterSource = file.source === FileSources.firebase ? FileSources.local : file.source;
+        return file;
       }),
   });
 

client/src/components/Chat/Input/Files/Image.tsx

@@ -1,3 +1,4 @@
+import { FileSources } from 'librechat-data-provider';
 import ImagePreview from './ImagePreview';
 import RemoveFile from './RemoveFile';
 
@@ -6,16 +7,18 @@ const Image = ({
   url,
   onDelete,
   progress = 1,
+  source = FileSources.local,
 }: {
   imageBase64?: string;
   url?: string;
   onDelete: () => void;
   progress: number; // between 0 and 1
+  source?: FileSources;
 }) => {
   return (
     <div className="group relative inline-block text-sm text-black/70 dark:text-white/90">
       <div className="relative overflow-hidden rounded-xl border border-gray-200 dark:border-gray-600">
-        <ImagePreview imageBase64={imageBase64} url={url} progress={progress} />
+        <ImagePreview source={source} imageBase64={imageBase64} url={url} progress={progress} />
       </div>
       <RemoveFile onRemove={onDelete} />
     </div>

client/src/components/Chat/Input/Files/ImagePreview.tsx

@@ -1,4 +1,6 @@
+import { FileSources } from 'librechat-data-provider';
 import ProgressCircle from './ProgressCircle';
+import SourceIcon from './SourceIcon';
 import { cn } from '~/utils';
 
 type styleProps = {
@@ -13,11 +15,13 @@ const ImagePreview = ({
   url,
   progress = 1,
   className = '',
+  source,
 }: {
   imageBase64?: string;
   url?: string;
   progress?: number; // between 0 and 1
   className?: string;
+  source?: FileSources;
 }) => {
   let style: styleProps = {
     backgroundSize: 'cover',
@@ -65,6 +69,7 @@ const ImagePreview = ({
           circleCSSProperties={circleCSSProperties}
         />
       )}
+      <SourceIcon source={source} />
     </div>
   );
 };

client/src/components/Chat/Input/Files/SourceIcon.tsx

@@ -0,0 +1,45 @@
+import { EModelEndpoint, FileSources } from 'librechat-data-provider';
+import { MinimalIcon } from '~/components/Endpoints';
+import { cn } from '~/utils';
+
+const sourceToEndpoint = {
+  [FileSources.openai]: EModelEndpoint.openAI,
+  [FileSources.azure]: EModelEndpoint.azureOpenAI,
+};
+const sourceToClassname = {
+  [FileSources.openai]: 'bg-black/65',
+  [FileSources.azure]: 'azure-bg-color opacity-85',
+};
+
+const defaultClassName =
+  'absolute right-0 bottom-0 rounded-full p-[0.15rem] text-gray-600 transition-colors';
+
+export default function SourceIcon({
+  source,
+  className = defaultClassName,
+}: {
+  source?: FileSources;
+  className?: string;
+}) {
+  if (source === FileSources.local || source === FileSources.firebase) {
+    return null;
+  }
+
+  const endpoint = sourceToEndpoint[source ?? ''];
+
+  if (!endpoint) {
+    return null;
+  }
+  return (
+    <button type="button" className={cn(className, sourceToClassname[source ?? ''] ?? '')}>
+      <span className="flex items-center justify-center">
+        <MinimalIcon
+          endpoint={endpoint}
+          size={14}
+          isCreatedByUser={false}
+          iconClassName="h-3 w-3"
+        />
+      </span>
+    </button>
+  );
+}

client/src/components/Chat/Input/Files/Table/Columns.tsx

@@ -7,6 +7,7 @@ import ImagePreview from '~/components/Chat/Input/Files/ImagePreview';
 import FilePreview from '~/components/Chat/Input/Files/FilePreview';
 import { SortFilterHeader } from './SortFilterHeader';
 import { OpenAIMinimalIcon } from '~/components/svg';
+import { AzureMinimalIcon } from '~/components/svg';
 import { Button, Checkbox } from '~/components/ui';
 import { formatDate, getFileType } from '~/utils';
 import useLocalize from '~/hooks/useLocalize';
@@ -71,10 +72,11 @@ export const columns: ColumnDef<TFile>[] = [
       const file = row.original;
       if (file.type?.startsWith('image')) {
         return (
-          <div className="flex gap-2 ">
+          <div className="flex gap-2">
             <ImagePreview
               url={file.filepath}
-              className="h-10 w-10  shrink-0 overflow-hidden  rounded-md"
+              className="relative h-10 w-10 shrink-0 overflow-hidden rounded-md"
+              source={file?.source}
             />
             <span className="self-center truncate ">{file.filename}</span>
           </div>
@@ -84,7 +86,7 @@ export const columns: ColumnDef<TFile>[] = [
       const fileType = getFileType(file.type);
       return (
         <div className="flex gap-2">
-          {fileType && <FilePreview fileType={fileType} />}
+          {fileType && <FilePreview fileType={fileType} className="relative" file={file} />}
           <span className="self-center truncate">{file.filename}</span>
         </div>
       );
@@ -108,7 +110,7 @@ export const columns: ColumnDef<TFile>[] = [
     cell: ({ row }) => formatDate(row.original.updatedAt),
   },
   {
-    accessorKey: 'source',
+    accessorKey: 'filterSource',
     header: ({ column }) => {
       const localize = useLocalize();
       return (
@@ -117,10 +119,14 @@ export const columns: ColumnDef<TFile>[] = [
           title={localize('com_ui_storage')}
           filters={{
             Storage: Object.values(FileSources).filter(
-              (value) => value === FileSources.local || value === FileSources.openai,
+              (value) =>
+                value === FileSources.local ||
+                value === FileSources.openai ||
+                value === FileSources.azure,
             ),
           }}
           valueMap={{
+            [FileSources.azure]: 'Azure',
             [FileSources.openai]: 'OpenAI',
             [FileSources.local]: 'com_ui_host',
           }}
@@ -137,6 +143,13 @@ export const columns: ColumnDef<TFile>[] = [
             {'OpenAI'}
           </div>
         );
+      } else if (source === FileSources.azure) {
+        return (
+          <div className="flex flex-wrap items-center gap-2">
+            <AzureMinimalIcon className="icon-sm text-cyan-700" />
+            {'Azure'}
+          </div>
+        );
       }
       return (
         <div className="flex flex-wrap items-center gap-2">

client/src/components/Chat/Input/Files/Table/DataTable.tsx

@@ -48,7 +48,12 @@ const contextMap = {
   [FileContext.bytes]: 'com_ui_size',
 };
 
-type Style = { width?: number | string; maxWidth?: number | string; minWidth?: number | string };
+type Style = {
+  width?: number | string;
+  maxWidth?: number | string;
+  minWidth?: number | string;
+  zIndex?: number;
+};
 
 export default function DataTable<TData, TValue>({ columns, data }: DataTableProps<TData, TValue>) {
   const localize = useLocalize();
@@ -142,7 +147,7 @@ export default function DataTable<TData, TValue>({ columns, data }: DataTablePro
             {table.getHeaderGroups().map((headerGroup) => (
               <TableRow key={headerGroup.id}>
                 {headerGroup.headers.map((header, index) => {
-                  const style: Style = { maxWidth: '32px', minWidth: '125px' };
+                  const style: Style = { maxWidth: '32px', minWidth: '125px', zIndex: 50 };
                   if (header.id === 'filename') {
                     style.maxWidth = '50%';
                     style.width = '50%';
@@ -220,7 +225,7 @@ export default function DataTable<TData, TValue>({ columns, data }: DataTablePro
           )}
         </div>
         <Button
-          className="dark:border-gray-500 dark:hover:bg-gray-600"
+          className="dark:border-gray-500 dark:hover:bg-gray-600 select-none"
           variant="outline"
           size="sm"
           onClick={() => table.previousPage()}
@@ -229,7 +234,7 @@ export default function DataTable<TData, TValue>({ columns, data }: DataTablePro
           {localize('com_ui_prev')}
         </Button>
         <Button
-          className="dark:border-gray-500 dark:hover:bg-gray-600"
+          className="dark:border-gray-500 dark:hover:bg-gray-600 select-none"
           variant="outline"
           size="sm"
           onClick={() => table.nextPage()}

client/src/components/Chat/Input/Mention.tsx

@@ -17,7 +17,9 @@ export default function Mention({
 }) {
   const localize = useLocalize();
   const assistantMap = useAssistantsMapContext();
-  const { options, modelsConfig, assistants, onSelectMention } = useMentions({ assistantMap });
+  const { options, modelsConfig, assistantListMap, onSelectMention } = useMentions({
+    assistantMap,
+  });
 
   const [activeIndex, setActiveIndex] = useState(0);
   const timeoutRef = useRef<NodeJS.Timeout | null>(null);
@@ -47,7 +49,12 @@ export default function Mention({
 
     if (mention.type === 'endpoint' && mention.value === EModelEndpoint.assistants) {
       setSearchValue('');
-      setInputOptions(assistants);
+      setInputOptions(assistantListMap[EModelEndpoint.assistants]);
+      setActiveIndex(0);
+      inputRef.current?.focus();
+    } else if (mention.type === 'endpoint' && mention.value === EModelEndpoint.azureAssistants) {
+      setSearchValue('');
+      setInputOptions(assistantListMap[EModelEndpoint.azureAssistants]);
       setActiveIndex(0);
       inputRef.current?.focus();
     } else if (mention.type === 'endpoint') {
@@ -99,7 +106,7 @@ export default function Mention({
             } else if (e.key === 'ArrowUp') {
               setActiveIndex((prevIndex) => (prevIndex - 1 + matches.length) % matches.length);
             } else if (e.key === 'Enter' || e.key === 'Tab') {
-              const mentionOption = matches[0] as MentionOption | undefined;
+              const mentionOption = matches[activeIndex] as MentionOption | undefined;
               if (mentionOption?.type === 'endpoint') {
                 e.preventDefault();
               } else if (e.key === 'Enter') {

client/src/components/Chat/Input/MentionItem.tsx

@@ -21,8 +21,8 @@ export default function MentionItem({
     <div tabIndex={index} onClick={onClick} id={`mention-item-${index}`} className="cursor-pointer">
       <div
         className={cn(
-          'hover:bg-token-main-surface-secondary text-token-text-primary bg-token-main-surface-secondary group flex h-10 items-center gap-2 rounded-lg px-2 text-sm font-medium dark:hover:bg-gray-600',
-          isActive ? 'dark:bg-gray-600' : '',
+          'text-token-text-primary bg-token-main-surface-secondary group flex h-10 items-center gap-2 rounded-lg px-2 text-sm font-medium hover:bg-gray-100 dark:hover:bg-gray-600',
+          isActive ? 'bg-gray-100 dark:bg-gray-600' : '',
         )}
       >
         {icon ? icon : null}

client/src/components/Chat/Landing.tsx

@@ -1,4 +1,4 @@
-import { EModelEndpoint } from 'librechat-data-provider';
+import { EModelEndpoint, isAssistantsEndpoint } from 'librechat-data-provider';
 import { useGetEndpointsQuery, useGetStartupConfig } from 'librechat-data-provider/react-query';
 import type { ReactNode } from 'react';
 import { TooltipProvider, Tooltip, TooltipTrigger, TooltipContent } from '~/components/ui';
@@ -30,7 +30,8 @@ export default function Landing({ Header }: { Header?: ReactNode }) {
   const iconURL = conversation?.iconURL;
   endpoint = getIconEndpoint({ endpointsConfig, iconURL, endpoint });
 
-  const assistant = endpoint === EModelEndpoint.assistants && assistantMap?.[assistant_id ?? ''];
+  const isAssistant = isAssistantsEndpoint(endpoint);
+  const assistant = isAssistant && assistantMap?.[endpoint]?.[assistant_id ?? ''];
   const assistantName = (assistant && assistant?.name) || '';
   const assistantDesc = (assistant && assistant?.description) || '';
   const avatar = (assistant && (assistant?.metadata?.avatar as string)) || '';
@@ -76,8 +77,8 @@ export default function Landing({ Header }: { Header?: ReactNode }) {
             </div> */}
               </div>
             ) : (
-              <div className="mb-5 text-2xl font-medium dark:text-white">
-                {endpoint === EModelEndpoint.assistants
+              <div className="mb-5 max-w-[75vh] px-12 text-center text-lg font-medium dark:text-white md:px-0 md:text-2xl">
+                {isAssistant
                   ? conversation?.greeting ?? localize('com_nav_welcome_assistant')
                   : conversation?.greeting ?? localize('com_nav_welcome_message')}
               </div>