feature(turbo): Init turborepo - faster everything

.devcontainer/Dockerfile

@@ -1,5 +0,0 @@
-FROM node:18-bullseye
-
-RUN useradd -m -s /bin/bash vscode
-RUN mkdir -p /workspaces && chown -R vscode:vscode /workspaces
-WORKDIR /workspaces

.devcontainer/devcontainer.json

@@ -1,18 +0,0 @@
-{
-  "dockerComposeFile": "docker-compose.yml",
-  "service": "app",
-  "workspaceFolder": "/workspaces",
-  "customizations": {
-    "vscode": {
-      "extensions": [],
-      "settings": {
-        "terminal.integrated.profiles.linux": {
-          "bash": null
-        }
-      }
-    }
-  },
-  "postCreateCommand": "",
-  "features": { "ghcr.io/devcontainers/features/git:1": {} },
-  "remoteUser": "vscode"
-}

.devcontainer/docker-compose.yml

@@ -1,63 +0,0 @@
-services:
-  app:
-    build:
-      context: ..
-      dockerfile: .devcontainer/Dockerfile
-    # restart: always
-    links:
-      - mongodb
-      - meilisearch
-    # ports:
-    #   - 3080:3080               # Change it to 9000:3080 to use nginx
-    extra_hosts: # if you are running APIs on docker you need access to, you will need to uncomment this line and next
-    - "host.docker.internal:host-gateway"
-
-    volumes:
-      # This is where VS Code should expect to find your project's source code and the value of "workspaceFolder" in .devcontainer/devcontainer.json
-      - ..:/workspaces:cached
-      # Uncomment the next line to use Docker from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker-compose for details.
-      # - /var/run/docker.sock:/var/run/docker.sock 
-    environment:
-      - HOST=0.0.0.0
-      - MONGO_URI=mongodb://mongodb:27017/LibreChat
-      # - CHATGPT_REVERSE_PROXY=http://host.docker.internal:8080/api/conversation # if you are hosting your own chatgpt reverse proxy with docker
-      # - OPENAI_REVERSE_PROXY=http://host.docker.internal:8070/v1/chat/completions # if you are hosting your own chatgpt reverse proxy with docker
-      - MEILI_HOST=http://meilisearch:7700
-
-    # Runs app on the same network as the service container, allows "forwardPorts" in devcontainer.json function.
-    # network_mode: service:another-service
-    
-    # Use "forwardPorts" in **devcontainer.json** to forward an app port locally. 
-    # (Adding the "ports" property to this file will not forward from a Codespace.)
-
-    # Use a non-root user for all processes - See https://aka.ms/vscode-remote/containers/non-root for details.
-    user: vscode
-
-    # Overrides default command so things don't shut down after the process ends.
-    command: /bin/sh -c "while sleep 1000; do :; done"  
-
-  mongodb:
-    container_name: chat-mongodb
-    expose:
-      - 27017
-    # ports:
-    #   - 27018:27017
-    image: mongo
-    # restart: always
-    volumes:
-      - ./data-node:/data/db
-    command: mongod --noauth
-  meilisearch:
-    container_name: chat-meilisearch
-    image: getmeili/meilisearch:v1.5
-    # restart: always
-    expose:
-      - 7700
-    # Uncomment this to access meilisearch from outside docker
-    # ports: 
-    #   - 7700:7700 # if exposing these ports, make sure your master key is not the default value
-    environment:
-      - MEILI_NO_ANALYTICS=true
-      - MEILI_MASTER_KEY=5c71cf56d672d009e36070b5bc5e47b743535ae55c818ae3b735bb6ebfb4ba63
-    volumes:
-      - ./meili_data_v1.5:/meili_data

.dockerignore

@@ -1,17 +1,4 @@
-**/.circleci
-**/.editorconfig
-**/.dockerignore
-**/.git
-**/.DS_Store
-**/.vscode
 **/node_modules
-
-# Specific patterns to ignore
-data-node
-meili_data*
-librechat*
-Dockerfile*
-docs
-
-# Ignore all hidden files
-.*
+api/.env
+.env
+client/dist/images

.env.example

@@ -1,791 +1,206 @@
-#=====================================================================#
-#                       LibreChat Configuration                       #
-#=====================================================================#
-# Please refer to the reference documentation for assistance          #
-# with configuring your LibreChat environment.                        #
-#                                                                     #
-# https://www.librechat.ai/docs/configuration/dotenv                  #
-#=====================================================================#
-
-#==================================================#
-#               Server Configuration               #
-#==================================================#
+##########################
+# Server configuration: 
+##########################
 
+# The server will listen to localhost:3080 by default. You can change the target IP as you want. 
+# If you want to make this server available externally, for example to share the server with others 
+# or expose this from a Docker container, set host to 0.0.0.0 or your external IP interface. 
+# Tips: Setting host to 0.0.0.0 means listening on all interfaces. It's not a real IP.  
+# Use localhost:port rather than 0.0.0.0:port to access the server. 
+# Set Node env to development if running in dev mode.
 HOST=localhost
 PORT=3080
 
+# Change this to proxy any API request. 
+# It's useful if your machine has difficulty calling the original API server. 
+# PROXY=
+
+# Change this to your MongoDB URI if different. I recommend appending LibreChat. 
 MONGO_URI=mongodb://127.0.0.1:27017/LibreChat
-#The maximum number of connections in the connection pool. */
-MONGO_MAX_POOL_SIZE=
-#The minimum number of connections in the connection pool. */
-MONGO_MIN_POOL_SIZE=
-#The maximum number of connections that may be in the process of being established concurrently by the connection pool. */
-MONGO_MAX_CONNECTING=
-#The maximum number of milliseconds that a connection can remain idle in the pool before being removed and closed. */
-MONGO_MAX_IDLE_TIME_MS=
-#The maximum time in milliseconds that a thread can wait for a connection to become available. */
-MONGO_WAIT_QUEUE_TIMEOUT_MS=
-# Set to false to disable automatic index creation for all models associated with this connection. */
-MONGO_AUTO_INDEX=
-# Set to `false` to disable Mongoose automatically calling `createCollection()` on every model created on this connection. */
-MONGO_AUTO_CREATE=
 
-DOMAIN_CLIENT=http://localhost:3080
-DOMAIN_SERVER=http://localhost:3080
-
-NO_INDEX=true
-# Use the address that is at most n number of hops away from the Express application.
-# req.socket.remoteAddress is the first hop, and the rest are looked for in the X-Forwarded-For header from right to left.
-# A value of 0 means that the first untrusted address would be req.socket.remoteAddress, i.e. there is no reverse proxy.
-# Defaulted to 1.
-TRUST_PROXY=1
-
-# Minimum password length for user authentication
-# Default: 8
-# Note: When using LDAP authentication, you may want to set this to 1 
-# to bypass local password validation, as LDAP servers handle their own
-# password policies.
-# MIN_PASSWORD_LENGTH=8
-
-#===============#
-# JSON Logging  #
-#===============#
-
-# Use when process console logs in cloud deployment like GCP/AWS
-CONSOLE_JSON=false
-
-#===============#
-# Debug Logging #
-#===============#
-
-DEBUG_LOGGING=true
-DEBUG_CONSOLE=false
-
-#=============#
-# Permissions #
-#=============#
-
-# UID=1000
-# GID=1000
-
-#===============#
-# Configuration #
-#===============#
-# Use an absolute path, a relative path, or a URL
-
-# CONFIG_PATH="/alternative/path/to/librechat.yaml"
-
-#===================================================#
-#                     Endpoints                     #
-#===================================================#
-
-# ENDPOINTS=openAI,assistants,azureOpenAI,google,anthropic
-
-PROXY=
-
-#===================================#
-# Known Endpoints - librechat.yaml  #
-#===================================#
-# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints
-
-# ANYSCALE_API_KEY=
-# APIPIE_API_KEY=
-# COHERE_API_KEY=
-# DEEPSEEK_API_KEY=
-# DATABRICKS_API_KEY=
-# FIREWORKS_API_KEY=
-# GROQ_API_KEY=
-# HUGGINGFACE_TOKEN=
-# MISTRAL_API_KEY=
-# OPENROUTER_KEY=
-# PERPLEXITY_API_KEY=
-# SHUTTLEAI_API_KEY=
-# TOGETHERAI_API_KEY=
-# UNIFY_API_KEY=
-# XAI_API_KEY=
-
-#============#
-# Anthropic  #
-#============#
-
-ANTHROPIC_API_KEY=user_provided
-# ANTHROPIC_MODELS=claude-opus-4-20250514,claude-sonnet-4-20250514,claude-3-7-sonnet-20250219,claude-3-5-sonnet-20241022,claude-3-5-haiku-20241022,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307
-# ANTHROPIC_REVERSE_PROXY=
-
-#============#
-# Azure      #
-#============#
-
-# Note: these variables are DEPRECATED
-# Use the `librechat.yaml` configuration for `azureOpenAI` instead
-# You may also continue to use them if you opt out of using the `librechat.yaml` configuration
-
-# AZURE_OPENAI_DEFAULT_MODEL=gpt-3.5-turbo # Deprecated
-# AZURE_OPENAI_MODELS=gpt-3.5-turbo,gpt-4 # Deprecated
-# AZURE_USE_MODEL_AS_DEPLOYMENT_NAME=TRUE # Deprecated
-# AZURE_API_KEY= # Deprecated
-# AZURE_OPENAI_API_INSTANCE_NAME= # Deprecated
-# AZURE_OPENAI_API_DEPLOYMENT_NAME= # Deprecated
-# AZURE_OPENAI_API_VERSION= # Deprecated
-# AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME= # Deprecated
-# AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME= # Deprecated
-# PLUGINS_USE_AZURE="true" # Deprecated
-
-#=================#
-#   AWS Bedrock   #
-#=================#
-
-# BEDROCK_AWS_DEFAULT_REGION=us-east-1 # A default region must be provided
-# BEDROCK_AWS_ACCESS_KEY_ID=someAccessKey
-# BEDROCK_AWS_SECRET_ACCESS_KEY=someSecretAccessKey
-# BEDROCK_AWS_SESSION_TOKEN=someSessionToken
-
-# Note: This example list is not meant to be exhaustive. If omitted, all known, supported model IDs will be included for you.
-# BEDROCK_AWS_MODELS=anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
-
-# See all Bedrock model IDs here: https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns
-
-# Notes on specific models:
-# The following models are not support due to not supporting streaming:
-# ai21.j2-mid-v1
-
-# The following models are not support due to not supporting conversation history:
-# ai21.j2-ultra-v1, cohere.command-text-v14, cohere.command-light-text-v14
-
-#============#
-# Google     #
-#============#
-
-GOOGLE_KEY=user_provided
-
-# GOOGLE_REVERSE_PROXY=
-# Some reverse proxies do not support the X-goog-api-key header, uncomment to pass the API key in Authorization header instead.
-# GOOGLE_AUTH_HEADER=true
-
-# Gemini API (AI Studio)
-# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash,gemini-2.0-flash-lite
-
-# Vertex AI
-# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash-001,gemini-2.0-flash-lite-001
-
-# GOOGLE_TITLE_MODEL=gemini-2.0-flash-lite-001
-
-# GOOGLE_LOC=us-central1
-
-# Google Safety Settings
-# NOTE: These settings apply to both Vertex AI and Gemini API (AI Studio)
-#
-# For Vertex AI:
-# To use the BLOCK_NONE setting, you need either:
-# (a) Access through an allowlist via your Google account team, or
-# (b) Switch to monthly invoiced billing: https://cloud.google.com/billing/docs/how-to/invoiced-billing
-#
-# For Gemini API (AI Studio):
-# BLOCK_NONE is available by default, no special account requirements.
-#
-# Available options: BLOCK_NONE, BLOCK_ONLY_HIGH, BLOCK_MEDIUM_AND_ABOVE, BLOCK_LOW_AND_ABOVE
-#
-# GOOGLE_SAFETY_SEXUALLY_EXPLICIT=BLOCK_ONLY_HIGH
-# GOOGLE_SAFETY_HATE_SPEECH=BLOCK_ONLY_HIGH
-# GOOGLE_SAFETY_HARASSMENT=BLOCK_ONLY_HIGH
-# GOOGLE_SAFETY_DANGEROUS_CONTENT=BLOCK_ONLY_HIGH
-# GOOGLE_SAFETY_CIVIC_INTEGRITY=BLOCK_ONLY_HIGH
-
-#============#
-# OpenAI     #
-#============#
+##########################
+# OpenAI Endpoint: 
+##########################
 
+# Access key from OpenAI platform. 
+# Leave it blank to disable this feature.
+# Set to "user_provided" to allow the user to provide their API key from the UI.
 OPENAI_API_KEY=user_provided
-# OPENAI_MODELS=gpt-5,gpt-5-codex,gpt-5-mini,gpt-5-nano,o3-pro,o3,o4-mini,gpt-4.1,gpt-4.1-mini,gpt-4.1-nano,o3-mini,o1-pro,o1,gpt-4o,gpt-4o-mini
 
-DEBUG_OPENAI=false
-
-# TITLE_CONVO=false
-# OPENAI_TITLE_MODEL=gpt-4o-mini
-
-# OPENAI_SUMMARIZE=true
-# OPENAI_SUMMARY_MODEL=gpt-4o-mini
-
-# OPENAI_FORCE_PROMPT=true
+# Identify the available models, separated by commas *without spaces*. 
+# The first will be default. 
+# Leave it blank to use internal settings. 
+OPENAI_MODELS=gpt-3.5-turbo,gpt-3.5-turbo-0301,text-davinci-003,gpt-4,gpt-4-0314
 
+# Reverse proxy settings for OpenAI: 
+# https://github.com/waylaidwanderer/node-chatgpt-api#using-a-reverse-proxy 
 # OPENAI_REVERSE_PROXY=
 
-# OPENAI_ORGANIZATION=
+##########################
+# AZURE Endpoint:   
+##########################
 
-#====================#
-#   Assistants API   #
-#====================#
+# To use Azure with this project, set the following variables. These will be used to build the API URL.
+# Chat completion: 
+# `https://{AZURE_OPENAI_API_INSTANCE_NAME}.openai.azure.com/openai/deployments/{AZURE_OPENAI_API_DEPLOYMENT_NAME}/chat/completions?api-version={AZURE_OPENAI_API_VERSION}`;
+# You should also consider changing the `OPENAI_MODELS` variable above to the models available in your instance/deployment.
+# Note: I've noticed that the Azure API is much faster than the OpenAI API, so the streaming looks almost instantaneous.
+# Note "AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME" and "AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME" are optional but might be used in the future
 
-ASSISTANTS_API_KEY=user_provided
-# ASSISTANTS_BASE_URL=
-# ASSISTANTS_MODELS=gpt-4o,gpt-4o-mini,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_OPENAI_API_KEY=
+# AZURE_OPENAI_API_INSTANCE_NAME=
+# AZURE_OPENAI_API_DEPLOYMENT_NAME=
+# AZURE_OPENAI_API_VERSION=
+# AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME=
+# AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=
 
-#==========================#
-#   Azure Assistants API   #
-#==========================#
+##########################
+# BingAI Endpoint:   
+##########################
 
-# 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.
+# Also used for Sydney and jailbreak
+# To get your Access token for Bing, login to https://www.bing.com
+# Use dev tools or an extension while logged into the site to copy the content of the _U cookie. 
+#If this fails, follow these instructions https://github.com/danny-avila/LibreChat/issues/370#issuecomment-1560382302 to provide the full cookie strings.
+# Set to "user_provided" to allow the user to provide its token from the UI.
+# Leave it blank to disable this endpoint. 
+BINGAI_TOKEN="user_provided"
 
-# 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
+# BingAI Host: 
+# Necessary for some people in different countries, e.g. China (https://cn.bing.com) 
+# Leave it blank to use default server. 
+# BINGAI_HOST=https://cn.bing.com 
 
-#============#
-# Plugins    #
-#============#
+##########################
+# ChatGPT Endpoint: 
+##########################
 
-# PLUGIN_MODELS=gpt-4o,gpt-4o-mini,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
+# ChatGPT Browser Client (free but use at your own risk) 
+# Access token from https://chat.openai.com/api/auth/session 
+# Exposes your access token to `CHATGPT_REVERSE_PROXY`
+# Set to "user_provided" to allow the user to provide its token from the UI.
+# Leave it blank to disable this endpoint 
+CHATGPT_TOKEN="user_provided"
 
-DEBUG_PLUGINS=true
+# Identify the available models, separated by commas. The first will be default. 
+# Leave it blank to use internal settings. 
+CHATGPT_MODELS=text-davinci-002-render-sha,gpt-4
+# NOTE: you can add gpt-4-plugins, gpt-4-code-interpreter, and gpt-4-browsing to the list above and use the models for these features;
+# however, the view/display portion of these features are not supported, but you can use the underlying models, which have higher token context
+# Also: text-davinci-002-render-paid is deprecated as of May 2023
 
+# Reverse proxy setting for OpenAI
+# https://github.com/waylaidwanderer/node-chatgpt-api#using-a-reverse-proxy
+# By default it will use the node-chatgpt-api recommended proxy, (it's a third party server)
+# CHATGPT_REVERSE_PROXY=<YOUR REVERSE PROXY>
+
+#############################
+# Plugins:
+#############################
+
+# For securely storing credentials, you need a fixed key and IV. You can set them here for prod and dev environments
+# If you don't set them, the app will crash on startup.
+# You need a 32-byte key (64 characters in hex) and 16-byte IV (32 characters in hex)
+# Use this replit to generate some quickly: https://replit.com/@daavila/crypto#index.js
+# Here are some examples (THESE ARE NOT SECURE!)
 CREDS_KEY=f34be427ebb29de8d88c107a71546019685ed8b241d8f2ed00c3df97ad2566f0
 CREDS_IV=e2341419ec3dd3d19b13a1a87fafcbfb
 
-# Azure AI Search
-#-----------------
-AZURE_AI_SEARCH_SERVICE_ENDPOINT=
-AZURE_AI_SEARCH_INDEX_NAME=
-AZURE_AI_SEARCH_API_KEY=
 
-AZURE_AI_SEARCH_API_VERSION=
-AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE=
-AZURE_AI_SEARCH_SEARCH_OPTION_TOP=
-AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
-
-# OpenAI Image Tools Customization
-#----------------
-# IMAGE_GEN_OAI_API_KEY= # Create or reuse OpenAI API key for image generation tool
-# IMAGE_GEN_OAI_BASEURL= # Custom OpenAI base URL for image generation tool
-# IMAGE_GEN_OAI_AZURE_API_VERSION= # Custom Azure OpenAI deployments
-# IMAGE_GEN_OAI_DESCRIPTION=
-# IMAGE_GEN_OAI_DESCRIPTION_WITH_FILES=Custom description for image generation tool when files are present
-# IMAGE_GEN_OAI_DESCRIPTION_NO_FILES=Custom description for image generation tool when no files are present
-# IMAGE_EDIT_OAI_DESCRIPTION=Custom description for image editing tool
-# IMAGE_GEN_OAI_PROMPT_DESCRIPTION=Custom prompt description for image generation tool
-# IMAGE_EDIT_OAI_PROMPT_DESCRIPTION=Custom prompt description for image editing tool
-
-# DALL·E
-#----------------
-# DALLE_API_KEY=
-# DALLE3_API_KEY=
-# DALLE2_API_KEY=
-# DALLE3_SYSTEM_PROMPT=
-# DALLE2_SYSTEM_PROMPT=
-# DALLE_REVERSE_PROXY=
-# DALLE3_BASEURL=
-# DALLE2_BASEURL=
-
-# DALL·E (via Azure OpenAI)
-# Note: requires some of the variables above to be set
-#----------------
-# DALLE3_AZURE_API_VERSION=
-# DALLE2_AZURE_API_VERSION=
-
-# Flux
-#-----------------
-FLUX_API_BASE_URL=https://api.us1.bfl.ai
-# FLUX_API_BASE_URL = 'https://api.bfl.ml';
-
-# Get your API key at https://api.us1.bfl.ai/auth/profile
-# FLUX_API_KEY=
-
-# Google
-#-----------------
-GOOGLE_SEARCH_API_KEY=
+# AI-Assisted Google Search  
+# This bot supports searching google for answers to your questions with assistance from GPT! 
+# See detailed instructions here: https://github.com/danny-avila/chatgpt-clone/blob/main/docs/features/plugins/google_search.md
+GOOGLE_API_KEY=
 GOOGLE_CSE_ID=
 
-# YOUTUBE
-#-----------------
-YOUTUBE_API_KEY=
+# StableDiffusion WebUI
+# This bot supports StableDiffusion WebUI, using it's API to generated requested images.
+SD_WEBUI_URL=http://0.0.0.0:7860
 
-# Stable Diffusion
-#-----------------
-SD_WEBUI_URL=http://host.docker.internal:7860
+##########################
+# PaLM (Google) Endpoint: 
+##########################
 
-# Tavily
-#-----------------
-TAVILY_API_KEY=
+# Follow the instruction here to setup:
+# https://github.com/danny-avila/LibreChat/blob/main/docs/install/apis_and_tokens.md
 
-# Traversaal
-#-----------------
-TRAVERSAAL_API_KEY=
+PALM_KEY="user_provided"
 
-# WolframAlpha
-#-----------------
-WOLFRAM_APP_ID=
+# In case you need a reverse proxy for this endpoint:
+# GOOGLE_REVERSE_PROXY= 
 
-# Zapier
-#-----------------
-ZAPIER_NLA_API_KEY=
+##########################
+# Proxy: To be Used by all endpoints
+##########################
 
-#==================================================#
-#                      Search                      #
-#==================================================#
+PROXY=
 
-SEARCH=true
-MEILI_NO_ANALYTICS=true
+##########################
+# Search: 
+##########################
+
+# ENABLING SEARCH MESSAGES/CONVOS 
+# Requires the installation of the free self-hosted Meilisearch or a paid Remote Plan (Remote not tested) 
+# The easiest setup for this is through docker-compose, which takes care of it for you. 
+SEARCH=false
+
+# REQUIRED FOR SEARCH: MeiliSearch Host, mainly for the API server to connect to the search server. 
+# Replace '0.0.0.0' with 'meilisearch' if serving MeiliSearch with docker-compose. 
 MEILI_HOST=http://0.0.0.0:7700
+
+# REQUIRED FOR SEARCH: MeiliSearch HTTP Address, mainly for docker-compose to expose the search server. 
+# Replace '0.0.0.0' with 'meilisearch' if serving MeiliSearch with docker-compose. 
+MEILI_HTTP_ADDR=0.0.0.0:7700
+
+# REQUIRED FOR SEARCH: In production env., a secure key is needed. You can generate your own. 
+# This master key must be at least 16 bytes, composed of valid UTF-8 characters. 
+# MeiliSearch will throw an error and refuse to launch if no master key is provided, 
+# or if it is under 16 bytes. MeiliSearch will suggest a secure autogenerated master key.
+# Using docker, it seems recognized as production so use a secure key.
+# This is a ready made secure key for docker-compose, you can replace it with your own.
 MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFCt
 
-# Optional: Disable indexing, useful in a multi-node setup
-# where only one instance should perform an index sync.
-# MEILI_NO_SYNC=true
+##########################
+# User System:
+##########################
 
-#==================================================#
-#          Speech to Text & Text to Speech         #
-#==================================================#
+# JWT Secrets
+JWT_SECRET=secret
+JWT_REFRESH_SECRET=secret
 
-STT_API_KEY=
-TTS_API_KEY=
-
-#==================================================#
-#                        RAG                       #
-#==================================================#
-# More info: https://www.librechat.ai/docs/configuration/rag_api
-
-# RAG_OPENAI_BASEURL=
-# RAG_OPENAI_API_KEY=
-# RAG_USE_FULL_CONTEXT=
-# EMBEDDINGS_PROVIDER=openai
-# EMBEDDINGS_MODEL=text-embedding-3-small
-
-#===================================================#
-#                    User System                    #
-#===================================================#
-
-#========================#
-# Moderation             #
-#========================#
-
-OPENAI_MODERATION=false
-OPENAI_MODERATION_API_KEY=
-# OPENAI_MODERATION_REVERSE_PROXY=
-
-BAN_VIOLATIONS=true
-BAN_DURATION=1000 * 60 * 60 * 2
-BAN_INTERVAL=20
-
-LOGIN_VIOLATION_SCORE=1
-REGISTRATION_VIOLATION_SCORE=1
-CONCURRENT_VIOLATION_SCORE=1
-MESSAGE_VIOLATION_SCORE=1
-NON_BROWSER_VIOLATION_SCORE=20
-TTS_VIOLATION_SCORE=0
-STT_VIOLATION_SCORE=0
-FORK_VIOLATION_SCORE=0
-IMPORT_VIOLATION_SCORE=0
-FILE_UPLOAD_VIOLATION_SCORE=0
-
-LOGIN_MAX=7
-LOGIN_WINDOW=5
-REGISTER_MAX=5
-REGISTER_WINDOW=60
-
-LIMIT_CONCURRENT_MESSAGES=true
-CONCURRENT_MESSAGE_MAX=2
-
-LIMIT_MESSAGE_IP=true
-MESSAGE_IP_MAX=40
-MESSAGE_IP_WINDOW=1
-
-LIMIT_MESSAGE_USER=false
-MESSAGE_USER_MAX=40
-MESSAGE_USER_WINDOW=1
-
-ILLEGAL_MODEL_REQ_SCORE=5
-
-#========================#
-# Balance                #
-#========================#
-
-# CHECK_BALANCE=false
-# START_BALANCE=20000 # note: the number of tokens that will be credited after registration.
-
-#========================#
-# Registration and Login #
-#========================#
-
-ALLOW_EMAIL_LOGIN=true
-ALLOW_REGISTRATION=true
-ALLOW_SOCIAL_LOGIN=false
-ALLOW_SOCIAL_REGISTRATION=false
-ALLOW_PASSWORD_RESET=false
-# ALLOW_ACCOUNT_DELETION=true # note: enabled by default if omitted/commented out
-ALLOW_UNVERIFIED_EMAIL_LOGIN=true
-
-SESSION_EXPIRY=1000 * 60 * 15
-REFRESH_TOKEN_EXPIRY=(1000 * 60 * 60 * 24) * 7
-
-JWT_SECRET=16f8c0ef4a5d391b26034086c628469d3f9f497f08163ab9b40137092f2909ef
-JWT_REFRESH_SECRET=eaa5191f2914e30b9387fd84e254e4ba6fc51b4654968a9b0803b456a54b8418
-
-# Discord
-DISCORD_CLIENT_ID=
-DISCORD_CLIENT_SECRET=
-DISCORD_CALLBACK_URL=/oauth/discord/callback
-
-# Facebook
-FACEBOOK_CLIENT_ID=
-FACEBOOK_CLIENT_SECRET=
-FACEBOOK_CALLBACK_URL=/oauth/facebook/callback
-
-# GitHub
-GITHUB_CLIENT_ID=
-GITHUB_CLIENT_SECRET=
-GITHUB_CALLBACK_URL=/oauth/github/callback
-# GitHub Enterprise
-# GITHUB_ENTERPRISE_BASE_URL=
-# GITHUB_ENTERPRISE_USER_AGENT=
-
-# Google
+# Google:
+# Add your Google Client ID and Secret here, you must register an app with Google Cloud to get these values
+# https://cloud.google.com/
 GOOGLE_CLIENT_ID=
 GOOGLE_CLIENT_SECRET=
 GOOGLE_CALLBACK_URL=/oauth/google/callback
 
-# Apple
-APPLE_CLIENT_ID=
-APPLE_TEAM_ID=
-APPLE_KEY_ID=
-APPLE_PRIVATE_KEY_PATH=
-APPLE_CALLBACK_URL=/oauth/apple/callback
+# Set the expiration delay for the secure cookie with the JWT token
+# Delay is in millisecond e.g. 7 days is 1000*60*60*24*7
+SESSION_EXPIRY=(1000 * 60 * 60 * 24) * 7
 
-# OpenID
-OPENID_CLIENT_ID=
-OPENID_CLIENT_SECRET=
-OPENID_ISSUER=
-OPENID_SESSION_SECRET=
-OPENID_SCOPE="openid profile email"
-OPENID_CALLBACK_URL=/oauth/openid/callback
-OPENID_REQUIRED_ROLE=
-OPENID_REQUIRED_ROLE_TOKEN_KIND=
-OPENID_REQUIRED_ROLE_PARAMETER_PATH=
-OPENID_ADMIN_ROLE=
-OPENID_ADMIN_ROLE_PARAMETER_PATH=
-OPENID_ADMIN_ROLE_TOKEN_KIND=
-# Set to determine which user info property returned from OpenID Provider to store as the User's username
-OPENID_USERNAME_CLAIM=
-# Set to determine which user info property returned from OpenID Provider to store as the User's name
-OPENID_NAME_CLAIM=
-# Optional audience parameter for OpenID authorization requests
-OPENID_AUDIENCE=
+###########################
+# Application Domains
+###########################
 
-OPENID_BUTTON_LABEL=
-OPENID_IMAGE_URL=
-# Set to true to automatically redirect to the OpenID provider when a user visits the login page
-# This will bypass the login form completely for users, only use this if OpenID is your only authentication method
-OPENID_AUTO_REDIRECT=false
-# Set to true to use PKCE (Proof Key for Code Exchange) for OpenID authentication
-OPENID_USE_PKCE=false
-#Set to true to reuse openid tokens for authentication management instead of using the mongodb session and the custom refresh token.
-OPENID_REUSE_TOKENS=
-#By default, signing key verification results are cached in order to prevent excessive HTTP requests to the JWKS endpoint.
-#If a signing key matching the kid is found, this will be cached and the next time this kid is requested the signing key will be served from the cache.
-#Default is true.
-OPENID_JWKS_URL_CACHE_ENABLED=
-OPENID_JWKS_URL_CACHE_TIME= # 600000 ms eq to 10 minutes leave empty to disable caching
-#Set to true to trigger token exchange flow to acquire access token for the userinfo endpoint.
-OPENID_ON_BEHALF_FLOW_FOR_USERINFO_REQUIRED=
-OPENID_ON_BEHALF_FLOW_USERINFO_SCOPE="user.read" # example for Scope Needed for Microsoft Graph API
-# Set to true to use the OpenID Connect end session endpoint for logout
-OPENID_USE_END_SESSION_ENDPOINT=
+# Note: server = backend, client = public (the client is the url you visit)
+# For the google login to work in dev mode, you will likely need to change DOMAIN_SERVER to localhost:3090 or place it in .env.development
 
-#========================#
-# SharePoint Integration #
-#========================#
-# Requires Entra ID (OpenID) authentication to be configured
+DOMAIN_CLIENT=http://localhost:3080
+DOMAIN_SERVER=http://localhost:3080
 
-# Enable SharePoint file picker in chat and agent panels
-# ENABLE_SHAREPOINT_FILEPICKER=true
+###########################
+# Frontend Configuration (Vite):
+###########################
 
-# SharePoint tenant base URL (e.g., https://yourtenant.sharepoint.com)
-# SHAREPOINT_BASE_URL=https://yourtenant.sharepoint.com
+# Custom app name, this text will be displayed in the landing page and the footer.
+VITE_APP_TITLE="LibreChat"
 
-# Microsoft Graph API And SharePoint scopes for file picker
-# SHAREPOINT_PICKER_SHAREPOINT_SCOPE==https://yourtenant.sharepoint.com/AllSites.Read
-# SHAREPOINT_PICKER_GRAPH_SCOPE=Files.Read.All
-#========================#
+# Enable Social Login
+# This enables/disables the Login with Google button on the login page.
+# Set to true if you have registered the app with google cloud services 
+# and have set the GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET above
+VITE_SHOW_GOOGLE_LOGIN_OPTION=false
 
-# SAML
-# Note: If OpenID is enabled, SAML authentication will be automatically disabled.
-SAML_ENTRY_POINT=
-SAML_ISSUER=
-SAML_CERT=
-SAML_CALLBACK_URL=/oauth/saml/callback
-SAML_SESSION_SECRET=
-
-# Attribute mappings (optional)
-SAML_EMAIL_CLAIM=
-SAML_USERNAME_CLAIM=
-SAML_GIVEN_NAME_CLAIM=
-SAML_FAMILY_NAME_CLAIM=
-SAML_PICTURE_CLAIM=
-SAML_NAME_CLAIM=
-
-# Logint buttion settings (optional)
-SAML_BUTTON_LABEL=
-SAML_IMAGE_URL=
-
-# Whether the SAML Response should be signed.
-# - If "true", the entire `SAML Response` will be signed.
-# - If "false" or unset, only the `SAML Assertion` will be signed (default behavior).
-# SAML_USE_AUTHN_RESPONSE_SIGNED=
-
-
-#===============================================#
-# Microsoft Graph API / Entra ID Integration  #
-#===============================================#
-
-# Enable Entra ID people search integration in permissions/sharing system
-# When enabled, the people picker will search both local database and Entra ID
-USE_ENTRA_ID_FOR_PEOPLE_SEARCH=false
-
-# When enabled, entra id groups owners will be considered as members of the group
-ENTRA_ID_INCLUDE_OWNERS_AS_MEMBERS=false
-
-# Microsoft Graph API scopes needed for people/group search
-# Default scopes provide access to user profiles and group memberships
-OPENID_GRAPH_SCOPES=User.Read,People.Read,GroupMember.Read.All
-
-# LDAP
-LDAP_URL=
-LDAP_BIND_DN=
-LDAP_BIND_CREDENTIALS=
-LDAP_USER_SEARCH_BASE=
-#LDAP_SEARCH_FILTER="mail="
-LDAP_CA_CERT_PATH=
-# LDAP_TLS_REJECT_UNAUTHORIZED=
-# LDAP_STARTTLS=
-# LDAP_LOGIN_USES_USERNAME=true
-# LDAP_ID=
-# LDAP_USERNAME=
-# LDAP_EMAIL=
-# LDAP_FULL_NAME=
-
-#========================#
-# Email Password Reset   #
-#========================#
-
-EMAIL_SERVICE=
-EMAIL_HOST=
-EMAIL_PORT=25
-EMAIL_ENCRYPTION=
-EMAIL_ENCRYPTION_HOSTNAME=
-EMAIL_ALLOW_SELFSIGNED=
-EMAIL_USERNAME=
-EMAIL_PASSWORD=
-EMAIL_FROM_NAME=
-EMAIL_FROM=noreply@librechat.ai
-
-#========================#
-#      Mailgun API       #
-#========================#
-
-# MAILGUN_API_KEY=your-mailgun-api-key
-# MAILGUN_DOMAIN=mg.yourdomain.com
-# EMAIL_FROM=noreply@yourdomain.com
-# EMAIL_FROM_NAME="LibreChat"
-
-# # Optional: For EU region
-# MAILGUN_HOST=https://api.eu.mailgun.net
-
-#========================#
-# Firebase CDN           #
-#========================#
-
-FIREBASE_API_KEY=
-FIREBASE_AUTH_DOMAIN=
-FIREBASE_PROJECT_ID=
-FIREBASE_STORAGE_BUCKET=
-FIREBASE_MESSAGING_SENDER_ID=
-FIREBASE_APP_ID=
-
-#========================#
-# S3 AWS Bucket          #
-#========================#
-
-AWS_ENDPOINT_URL=
-AWS_ACCESS_KEY_ID=
-AWS_SECRET_ACCESS_KEY=
-AWS_REGION=
-AWS_BUCKET_NAME=
-
-#========================#
-# Azure Blob Storage     #
-#========================#
-
-AZURE_STORAGE_CONNECTION_STRING=
-AZURE_STORAGE_PUBLIC_ACCESS=false
-AZURE_CONTAINER_NAME=files
-
-#========================#
-# Shared Links           #
-#========================#
-
-ALLOW_SHARED_LINKS=true
-ALLOW_SHARED_LINKS_PUBLIC=true
-
-#==============================#
-# Static File Cache Control    #
-#==============================#
-
-# Leave commented out to use defaults: 1 day (86400 seconds) for s-maxage and 2 days (172800 seconds) for max-age
-# NODE_ENV must be set to production for these to take effect
-# STATIC_CACHE_MAX_AGE=172800
-# STATIC_CACHE_S_MAX_AGE=86400
-
-# If you have another service in front of your LibreChat doing compression, disable express based compression here
-# DISABLE_COMPRESSION=true
-
-# If you have gzipped version of uploaded image images in the same folder, this will enable gzip scan and serving of these images
-# Note: The images folder will be scanned on startup and a ma kept in memory. Be careful for large number of images.
-# ENABLE_IMAGE_OUTPUT_GZIP_SCAN=true
-
-#===================================================#
-#                        UI                         #
-#===================================================#
-
-APP_TITLE=LibreChat
-# CUSTOM_FOOTER="My custom footer"
-HELP_AND_FAQ_URL=https://librechat.ai
-
-# SHOW_BIRTHDAY_ICON=true
-
-# Google tag manager id
-#ANALYTICS_GTM_ID=user provided google tag manager id
-
-# limit conversation file imports to a certain number of bytes in size to avoid the container
-# maxing out memory limitations by unremarking this line and supplying a file size in bytes
-# such as the below example of 250 mib
-# CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES=262144000
-
-
-#===============#
-# REDIS Options #
-#===============#
-
-# Enable Redis for caching and session storage
-# USE_REDIS=true
-
-# Single Redis instance
-# REDIS_URI=redis://127.0.0.1:6379
-
-# Redis cluster (multiple nodes)
-# REDIS_URI=redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
-
-# Redis with TLS/SSL encryption and CA certificate
-# REDIS_URI=rediss://127.0.0.1:6380
-# REDIS_CA=/path/to/ca-cert.pem
-
-# Elasticache may need to use an alternate dnsLookup for TLS connections.  see "Special Note: Aws Elasticache Clusters with TLS" on this webpage: https://www.npmjs.com/package/ioredis
-# Enable alternative dnsLookup for redis
-# REDIS_USE_ALTERNATIVE_DNS_LOOKUP=true
-
-# Redis authentication (if required)
-# REDIS_USERNAME=your_redis_username
-# REDIS_PASSWORD=your_redis_password
-
-# Redis key prefix configuration
-# Use environment variable name for dynamic prefix (recommended for cloud deployments)
-# REDIS_KEY_PREFIX_VAR=K_REVISION
-# Or use static prefix directly
-# REDIS_KEY_PREFIX=librechat
-
-# Redis connection limits
-# REDIS_MAX_LISTENERS=40
-
-# Redis ping interval in seconds (0 = disabled, >0 = enabled)
-# When set to a positive integer, Redis clients will ping the server at this interval to keep connections alive
-# When unset or 0, no pinging is performed (recommended for most use cases)
-# REDIS_PING_INTERVAL=300
-
-# Force specific cache namespaces to use in-memory storage even when Redis is enabled
-# Comma-separated list of CacheKeys (e.g., ROLES,MESSAGES)
-# FORCED_IN_MEMORY_CACHE_NAMESPACES=ROLES,MESSAGES
-
-# Leader Election Configuration (for multi-instance deployments with Redis)
-# Duration in seconds that the leader lease is valid before it expires (default: 25)
-# LEADER_LEASE_DURATION=25
-# Interval in seconds at which the leader renews its lease (default: 10)
-# LEADER_RENEW_INTERVAL=10
-# Maximum number of retry attempts when renewing the lease fails (default: 3)
-# LEADER_RENEW_ATTEMPTS=3
-# Delay in seconds between retry attempts when renewing the lease (default: 0.5)
-# LEADER_RENEW_RETRY_DELAY=0.5
-
-#==================================================#
-#                      Others                      #
-#==================================================#
-#   You should leave the following commented out   #
-
-# NODE_ENV=
-
-# E2E_USER_EMAIL=
-# E2E_USER_PASSWORD=
-
-#=====================================================#
-#                  Cache Headers                      #
-#=====================================================#
-#   Headers that control caching of the index.html    #
-#   Default configuration prevents caching to ensure  #
-#   users always get the latest version. Customize    #
-#   only if you understand caching implications.      #
-
-# INDEX_CACHE_CONTROL=no-cache, no-store, must-revalidate
-# INDEX_PRAGMA=no-cache
-# INDEX_EXPIRES=0
-
-# no-cache: Forces validation with server before using cached version
-# no-store: Prevents storing the response entirely
-# must-revalidate: Prevents using stale content when offline
-
-#=====================================================#
-#                  OpenWeather                        #
-#=====================================================#
-OPENWEATHER_API_KEY=
-
-#====================================#
-# LibreChat Code Interpreter API     #
-#====================================#
-
-# https://code.librechat.ai
-# LIBRECHAT_CODE_API_KEY=your-key
-
-#======================#
-# Web Search           #
-#======================#
-
-# Note: All of the following variable names can be customized.
-# Omit values to allow user to provide them.
-
-# For more information on configuration values, see:
-# https://librechat.ai/docs/features/web_search
-
-# Search Provider (Required)
-# SERPER_API_KEY=your_serper_api_key
-
-# Scraper (Required)
-# FIRECRAWL_API_KEY=your_firecrawl_api_key
-# Optional: Custom Firecrawl API URL
-# FIRECRAWL_API_URL=your_firecrawl_api_url
-
-# Reranker (Required)
-# JINA_API_KEY=your_jina_api_key
-# or
-# COHERE_API_KEY=your_cohere_api_key
-
-#======================#
-# MCP Configuration    #
-#======================#
-
-# Treat 401/403 responses as OAuth requirement when no oauth metadata found
-# MCP_OAUTH_ON_AUTH_ERROR=true
-
-# Timeout for OAuth detection requests in milliseconds
-# MCP_OAUTH_DETECTION_TIMEOUT=5000
-
-# Cache connection status checks for this many milliseconds to avoid expensive verification
-# MCP_CONNECTION_CHECK_TTL=60000
-
-# Skip code challenge method validation (e.g., for AWS Cognito that supports S256 but doesn't advertise it)
-# When set to true, forces S256 code challenge even if not advertised in .well-known/openid-configuration
-# MCP_SKIP_CODE_CHALLENGE_CHECK=false
+# Allow Public Registration
+ALLOW_REGISTRATION=true

.eslintrc.js

@@ -0,0 +1,115 @@
+module.exports = {
+  env: {
+    browser: true,
+    es2021: true,
+    node: true,
+    commonjs: true,
+    es6: true
+  },
+  extends: [
+    'eslint:recommended',
+    'plugin:react/recommended',
+    'plugin:react-hooks/recommended',
+    "plugin:jest/recommended",
+    'prettier'
+  ],
+  parser: '@typescript-eslint/parser',
+  parserOptions: {
+    ecmaVersion: 'latest',
+    sourceType: 'module',
+    ecmaFeatures: {
+      jsx: true
+    }
+  },
+  plugins: ['react', 'react-hooks', '@typescript-eslint'],
+  rules: {
+    'react/react-in-jsx-scope': 'off',
+    '@typescript-eslint/ban-ts-comment': ['error', { 'ts-ignore': 'allow-with-description' }],
+    indent: ['error', 2, { SwitchCase: 1 }],
+    'max-len': [
+      'error',
+      {
+        code: 150,
+        ignoreStrings: true,
+        ignoreTemplateLiterals: true,
+        ignoreComments: true
+      }
+    ],
+    'linebreak-style': 0,
+    // "arrow-parens": [2, "as-needed", { requireForBlockBody: true }],
+    // 'no-plusplus': ['error', { allowForLoopAfterthoughts: true }],
+    'no-console': 'off',
+    'import/extensions': 'off',
+    'no-use-before-define': [
+      'error',
+      {
+        functions: false
+      }
+    ],
+    'no-promise-executor-return': 'off',
+    'no-param-reassign': 'off',
+    'no-continue': 'off',
+    'no-restricted-syntax': 'off',
+    'react/prop-types': ['off'],
+    'react/display-name': ['off']
+  },
+  overrides: [
+    {
+      files: ['**/*.ts', '**/*.tsx'],
+      rules: {
+        'no-unused-vars': 'off', // off because it conflicts with '@typescript-eslint/no-unused-vars'
+        'react/display-name': 'off',
+        '@typescript-eslint/no-unused-vars': 'warn'
+      }
+    },
+    {
+      files: ['rollup.config.js', '.eslintrc.js', 'jest.config.js'],
+      env: {
+        node: true,
+      }
+    },
+    {
+      files: [
+        '**/*.test.js',
+        '**/*.test.jsx',
+        '**/*.test.ts',
+        '**/*.test.tsx',
+        '**/*.spec.js',
+        '**/*.spec.jsx',
+        '**/*.spec.ts',
+        '**/*.spec.tsx',
+        'setupTests.js'
+      ],
+      env: {
+        jest: true,
+        node: true
+      },
+      rules: {
+        'react/display-name': 'off',
+        'react/prop-types': 'off',
+        'react/no-unescaped-entities': 'off'
+      }
+    },
+    {
+      files: '**/*.+(ts)',
+      parser: '@typescript-eslint/parser',
+      parserOptions: {
+        project: './client/tsconfig.json'
+      },
+      plugins: ['@typescript-eslint/eslint-plugin', 'jest'],
+      extends: [
+        'plugin:@typescript-eslint/eslint-recommended',
+        'plugin:@typescript-eslint/recommended'
+      ]
+    }
+  ],
+  settings: {
+    react: {
+      createClass: 'createReactClass', // Regex for Component Factory to use,
+      // default to "createReactClass"
+      pragma: 'React', // Pragma to use, default to "React"
+      fragment: 'Fragment', // Fragment to use (may be a property of <pragma>), default to "Fragment"
+      version: 'detect' // React version. "detect" automatically picks the version you have installed.
+    }
+  }
+};

.github/CONTRIBUTING.md

@@ -1,168 +0,0 @@
-# Contributor Guidelines
-
-Thank you to all the contributors who have helped make this project possible! We welcome various types of contributions, such as bug reports, documentation improvements, feature requests, and code contributions.
-
-## Contributing Guidelines
-
-If the feature you would like to contribute has not already received prior approval from the project maintainers (i.e., the feature is currently on the [roadmap](https://github.com/users/danny-avila/projects/2)), please submit a request in the [Feature Requests & Suggestions category](https://github.com/danny-avila/LibreChat/discussions/new?category=feature-requests-suggestions) of the discussions board before beginning work on it. The requests should include specific implementation details, including areas of the application that will be affected by the change (including designs if applicable), and any other relevant information that might be required for a speedy review. However, proposals are not required for small changes, bug fixes, or documentation improvements. Small changes and bug fixes should be tied to an [issue](https://github.com/danny-avila/LibreChat/issues) and included in the corresponding pull request for tracking purposes.
-
-Please note that a pull request involving a feature that has not been reviewed and approved by the project maintainers may be rejected. We appreciate your understanding and cooperation.
-
-If you would like to discuss the changes you wish to make, join our [Discord community](https://discord.librechat.ai), where you can engage with other contributors and seek guidance from the community.
-
-## Our Standards
-
-We strive to maintain a positive and inclusive environment within our project community. We expect all contributors to adhere to the following standards:
-
-- Using welcoming and inclusive language.
-- Being respectful of differing viewpoints and experiences.
-- Gracefully accepting constructive criticism.
-- Focusing on what is best for the community.
-- Showing empathy towards other community members.
-
-Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that do not align with these standards.
-
-## To contribute to this project, please adhere to the following guidelines:
-
-## 1. Development Setup
-
-1. Use Node.JS 20.x.
-2. Install typescript globally: `npm i -g typescript`.
-3. Run `npm ci` to install dependencies.
-4. Build the data provider: `npm run build:data-provider`.
-5. Build data schemas: `npm run build:data-schemas`.
-6. Build API methods: `npm run build:api`.
-7. Setup and run unit tests:
-    - Copy `.env.test`: `cp api/test/.env.test.example api/test/.env.test`.
-    - Run backend unit tests: `npm run test:api`.
-    - Run frontend unit tests: `npm run test:client`.
-8. Setup and run integration tests:
-    - Build client: `cd client && npm run build`.
-    - Create `.env`: `cp .env.example .env`.
-    - Install [MongoDB Community Edition](https://www.mongodb.com/docs/manual/administration/install-community/), ensure that `mongosh` connects to your local instance.
-    - Run: `npx install playwright`, then `npx playwright install`.
-    - Copy `config.local`: `cp e2e/config.local.example.ts e2e/config.local.ts`.
-    - Copy `librechat.yaml`: `cp librechat.example.yaml librechat.yaml`.
-    - Run: `npm run e2e`.
-
-## 2. Development Notes
-
-1. Before starting work, make sure your main branch has the latest commits with `npm run update`.
-3. Run linting command to find errors: `npm run lint`. Alternatively, ensure husky pre-commit checks are functioning.
-3. After your changes, reinstall packages in your current branch using `npm run reinstall` and ensure everything still works. 
-    - Restart the ESLint server ("ESLint: Restart ESLint Server" in VS Code command bar) and your IDE after reinstalling or updating.
-4. Clear web app localStorage and cookies before and after changes.
-5. For frontend changes, compile typescript before and after changes to check for introduced errors: `cd client && npm run build`.
-6. Run backend unit tests: `npm run test:api`.
-7. Run frontend unit tests: `npm run test:client`.
-8. Run integration tests: `npm run e2e`.
-
-## 3. Git Workflow
-
-We utilize a GitFlow workflow to manage changes to this project's codebase. Follow these general steps when contributing code:
-
-1. Fork the repository and create a new branch with a descriptive slash-based name (e.g., `new/feature/x`).
-2. Implement your changes and ensure that all tests pass.
-3. Commit your changes using conventional commit messages with GitFlow flags. Begin the commit message with a tag indicating the change type, such as "feat" (new feature), "fix" (bug fix), "docs" (documentation), or "refactor" (code refactoring), followed by a brief summary of the changes (e.g., `feat: Add new feature X to the project`).
-4. Submit a pull request with a clear and concise description of your changes and the reasons behind them.
-5. We will review your pull request, provide feedback as needed, and eventually merge the approved changes into the main branch.
-
-## 4. Commit Message Format
-
-We follow the [semantic format](https://gist.github.com/joshbuchea/6f47e86d2510bce28f8e7f42ae84c716) for commit messages.
-
-### Example
-
-```
-feat: add hat wobble
-^--^  ^------------^
-|     |
-|     +-> Summary in present tense.
-|
-+-------> Type: chore, docs, feat, fix, refactor, style, or test.
-```
-
-### Commit Guidelines
-- Do your best to reduce the number of commits, organizing them as much possible. Look into [squashing commits](https://www.freecodecamp.org/news/git-squash-commits/) in order to keep a neat history.
-- For those that care about maximizing commits for stats, adhere to the above as I 'squash and merge' an unorganized and/or unformatted commit history, which reduces the number of your commits to 1,:
-```
-* Update Br.tsx
-
-* Update Es.tsx
-
-* Update Br.tsx
-```
-
-
-## 5. Pull Request Process
-
-When submitting a pull request, please follow these guidelines:
-
-- Ensure that any installation or build dependencies are removed before the end of the layer when doing a build.
-- Update the README.md with details of changes to the interface, including new environment variables, exposed ports, useful file locations, and container parameters.
-- Increase the version numbers in any example files and the README.md to reflect the new version that the pull request represents. We use [SemVer](http://semver.org/) for versioning.
-
-Ensure that your changes meet the following criteria:
-
-- All tests pass as highlighted [above](#1-development-notes).
-- The code is well-formatted and adheres to our coding standards.
-- The commit history is clean and easy to follow. You can use `git rebase` or `git merge --squash` to clean your commit history before submitting the pull request.
-- The pull request description clearly outlines the changes and the reasons behind them. Be sure to include the steps to test the pull request.
-
-## 6. Naming Conventions
-
-Apply the following naming conventions to branches, labels, and other Git-related entities:
-
-- **Branch names:** Descriptive and slash-based (e.g., `new/feature/x`).
-- **Labels:** Descriptive and kebab case (e.g., `bug-fix`).
-- **JS/TS:** Directories and file names: Descriptive and camelCase. First letter uppercased for React files (e.g., `helperFunction.ts, ReactComponent.tsx`).
-- **Docs:** Directories and file names: Descriptive and snake_case (e.g., `config_files.md`).
-
-## 7. TypeScript Conversion
-
-1. **Original State**: The project was initially developed entirely in JavaScript (JS).
-
-2. **Frontend Transition**:
-   - We are in the process of transitioning the frontend from JS to TypeScript (TS).
-   - The transition is nearing completion.
-   - This conversion is feasible due to React's capability to intermix JS and TS prior to code compilation. It's standard practice to compile/bundle the code in such scenarios.
-
-3. **Backend Considerations**:
-   - Transitioning the backend to TypeScript would be a more intricate process, especially for an established Express.js server.
-   
-   - **Options for Transition**:
-      - **Single Phase Overhaul**: This involves converting the entire backend to TypeScript in one go. It's the most straightforward approach but can be disruptive, especially for larger codebases.
-      
-      - **Incremental Transition**: Convert parts of the backend progressively. This can be done by:
-         - Maintaining a separate directory for TypeScript files.
-         - Gradually migrating and testing individual modules or routes.
-         - Using a build tool like `tsc` to compile TypeScript files independently until the entire transition is complete.
-         
-   - **Compilation Considerations**: 
-      - Introducing a compilation step for the server is an option. This would involve using tools like `ts-node` for development and `tsc` for production builds.
-      - However, this is not a conventional approach for Express.js servers and could introduce added complexity, especially in terms of build and deployment processes.
-      
-   - **Current Stance**: At present, this backend transition is of lower priority and might not be pursued.
-
-## 8. Module Import Conventions
-
-- `npm` packages first, 
-     - from longest line (top) to shortest (bottom)
-
-- Followed by typescript types (pertains to data-provider and client workspaces)
-     - longest line (top) to shortest (bottom)
-     - types from package come first
-
-- Lastly, local imports
-     - longest line (top) to shortest (bottom)
-     - imports with alias `~` treated the same as relative import with respect to line length
-
-**Note:** ESLint will automatically enforce these import conventions when you run `npm run lint --fix` or through pre-commit hooks.
-
----
-
-Please ensure that you adapt this summary to fit the specific context and nuances of your project.
-
----
-
-## [Go Back to ReadMe](../README.md)

.github/ISSUE_TEMPLATE/BUG-REPORT.yml

@@ -1,19 +1,20 @@
 name: Bug Report
 description: File a bug report
 title: "[Bug]: "
-labels: ["🐛 bug"]
+labels: ["bug"]
 body:
   - type: markdown
     attributes:
       value: |
         Thanks for taking the time to fill out this bug report!
-        
-        Before submitting, please:
-        - Search existing [Issues and Discussions](https://github.com/danny-avila/LibreChat/discussions) to see if your bug has already been reported
-        - Use [Discussions](https://github.com/danny-avila/LibreChat/discussions) instead of Issues for:
-          - General inquiries
-          - Help with setup
-          - Questions about whether you're experiencing a bug
+  - type: input
+    id: contact
+    attributes:
+      label: Contact Details
+      description: How can we get in touch with you if we need more info?
+      placeholder: ex. email@example.com
+    validations:
+      required: false
   - type: textarea
     id: what-happened
     attributes:
@@ -22,23 +23,6 @@ body:
       placeholder: Please give as many details as possible
     validations:
       required: true
-  - type: textarea
-    id: version-info
-    attributes:
-      label: Version Information
-      description: |
-        If using Docker, please run and provide the output of:
-        ```bash
-        docker images | grep librechat
-        ```
-        
-        If running from source, please run and provide the output of:
-        ```bash
-        git rev-parse HEAD
-        ```
-      placeholder: Paste the output here
-    validations:
-      required: true
   - type: textarea
     id: steps-to-reproduce
     attributes:
@@ -63,24 +47,8 @@ body:
     id: logs
     attributes:
       label: Relevant log output
-      description: |
-        Please paste relevant logs that were created when reproducing the error.
-        
-        Log locations:
-        - Docker: Project root directory ./logs
-        - npm: ./api/logs
-        
-        There are two types of logs that can help diagnose the issue:
-        - debug logs (debug-YYYY-MM-DD.log)
-        - error logs (error-YYYY-MM-DD.log)
-        
-        Error logs contain exact stack traces and are especially helpful, but both can provide valuable information.
-        Please only include the relevant portions of logs that correspond to when you reproduced the error.
-
-        For UI-related issues, browser console logs can be very helpful. You can provide these as screenshots or paste the text here.
+      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
       render: shell
-    validations:
-      required: true
   - type: textarea
     id: screenshots
     attributes:
@@ -90,7 +58,7 @@ 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/.github/CODE_OF_CONDUCT.md)
+      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/chatgpt-clone/blob/main/documents/contributions/code_of_conduct.md)
       options:
         - label: I agree to follow this project's Code of Conduct
-          required: true
+          required: true

.github/ISSUE_TEMPLATE/FEATURE-REQUEST.yml

@@ -1,12 +1,20 @@
 name: Feature Request
 description: File a feature request
-title: "[Enhancement]: "
-labels: ["✨ enhancement"]
+title: "Enhancement: "
+labels: ["enhancement"]
 body:
   - type: markdown
     attributes:
       value: |
         Thank you for taking the time to fill this out!
+  - type: input
+    id: contact
+    attributes:
+      label: Contact Details
+      description: How can we contact you if we need more information?
+      placeholder: ex. email@example.com
+    validations:
+      required: false
   - type: textarea
     id: what
     attributes:
@@ -43,7 +51,7 @@ 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/.github/CODE_OF_CONDUCT.md)
+      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/chatgpt-clone/blob/main/documents/contributions/code_of_conduct.md)
       options:
         - label: I agree to follow this project's Code of Conduct
           required: true

.github/ISSUE_TEMPLATE/LOCIZE_TRANSLATION_ACCESS_REQUEST.yml

@@ -1,42 +0,0 @@
-name: Locize Translation Access Request
-description: Request access to an additional language in Locize for LibreChat translations.
-title: "Locize Access Request: "
-labels: ["🌍 i18n", "🔑 access request"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for your interest in contributing to LibreChat translations!  
-        Please fill out the form below to request access to an additional language in **Locize**.
-
-        **🔗 Available Languages:** [View the list here](https://www.librechat.ai/docs/translation)
-        
-        **📌 Note:** Ensure that the requested language is supported before submitting your request.
-  - type: input
-    id: account_name
-    attributes:
-      label: Locize Account Name
-      description: Please provide your Locize account name (e.g., John Doe).
-      placeholder: e.g., John Doe
-    validations:
-      required: true
-  - type: input
-    id: language_requested
-    attributes:
-      label: Language Code (ISO 639-1)
-      description: |
-        Enter the **ISO 639-1** language code for the language you want to translate into.  
-        Example: `es` for Spanish, `zh-Hant` for Traditional Chinese.
-        
-        **🔗 Reference:** [Available Languages](https://www.librechat.ai/docs/translation)
-      placeholder: e.g., es
-    validations:
-      required: true
-  - type: checkboxes
-    id: agreement
-    attributes:
-      label: Agreement
-      description: By submitting this request, you confirm that you will contribute responsibly and adhere to the project guidelines.
-      options:
-        - label: I agree to use my access solely for contributing to LibreChat translations.
-          required: true

.github/ISSUE_TEMPLATE/NEW-LANGUAGE-REQUEST.yml

@@ -1,33 +0,0 @@
-name: New Language Request
-description: Request to add a new language for LibreChat translations.
-title: "New Language Request: "
-labels: ["✨ enhancement", "🌍 i18n"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for taking the time to submit a new language request! Please fill out the following details so we can review your request.
-  - type: input
-    id: language_name
-    attributes:
-      label: Language Name
-      description: Please provide the full name of the language (e.g., Spanish, Mandarin).
-      placeholder: e.g., Spanish
-    validations:
-      required: true
-  - type: input
-    id: iso_code
-    attributes:
-      label: ISO 639-1 Code
-      description: Please provide the ISO 639-1 code for the language (e.g., es for Spanish). You can refer to [this list](https://www.w3schools.com/tags/ref_language_codes.asp) for valid codes.
-      placeholder: e.g., es
-    validations:
-      required: true
-  - type: checkboxes
-    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/.github/CODE_OF_CONDUCT.md).
-      options:
-        - label: I agree to follow this project's Code of Conduct
-          required: true

.github/ISSUE_TEMPLATE/QUESTION.yml

@@ -0,0 +1,58 @@
+name: Question
+description: Ask your question
+title: "[Question]: "
+labels: ["question"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill this!
+  - type: input
+    id: contact
+    attributes:
+      label: Contact Details
+      description: How can we get in touch with you if we need more info?
+      placeholder: ex. email@example.com
+    validations:
+      required: false
+  - type: textarea
+    id: what-is-your-question
+    attributes:
+      label: What is your question?
+      description: Please give as many details as possible
+      placeholder: Please give as many details as possible
+    validations:
+      required: true
+  - type: textarea
+    id: more-details
+    attributes:
+      label: More Details
+      description: Please provide more details if needed.
+      placeholder: Please provide more details if needed.
+    validations:
+      required: true
+  - type: dropdown
+    id: browsers
+    attributes:
+      label: What is the main subject of your question?
+      multiple: true
+      options:
+        - Documentation
+        - Installation
+        - UI
+        - Endpoints
+        - User System/OAuth
+        - Other
+  - type: textarea
+    id: screenshots
+    attributes:
+      label: Screenshots
+      description: If applicable, add screenshots to help explain your problem. You can drag and drop, paste images directly here or link to them.
+  - type: checkboxes
+    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/chatgpt-clone/blob/main/documents/contributions/code_of_conduct.md)
+      options:
+        - label: I agree to follow this project's Code of Conduct
+          required: true

.github/configuration-release.json

@@ -1,60 +0,0 @@
-{
-  "categories": [
-    {
-      "title": "### ✨ New Features",
-      "labels": ["feat"]
-    },
-    {
-      "title": "### 🌍 Internationalization",
-      "labels": ["i18n"]
-    },
-    {
-      "title": "### 👐 Accessibility",
-      "labels": ["a11y"]
-    },
-    {
-      "title": "### 🔧 Fixes",
-      "labels": ["Fix", "fix"]
-    },
-    {
-      "title": "### ⚙️ Other Changes",
-      "labels": ["ci", "style", "docs", "refactor", "chore"]
-    }
-  ],
-  "ignore_labels": [
-    "🔁 duplicate",
-    "📊 analytics",
-    "🌱 good first issue",
-    "🔍 investigation",
-    "🙏 help wanted",
-    "❌ invalid",
-    "❓ question",
-    "🚫 wontfix",
-    "🚀 release",
-    "version"
-  ],
-  "base_branches": ["main"],
-  "sort": {
-    "order": "ASC",
-    "on_property": "mergedAt"
-  },
-  "label_extractor": [
-    {
-      "pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
-      "target": "$1",
-      "flags": "i",
-      "on_property": "title",
-      "method": "match"
-    },
-    {
-      "pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
-      "target": "version",
-      "flags": "i",
-      "on_property": "title",
-      "method": "match"
-    }
-  ],
-  "template": "## [#{{TO_TAG}}] - #{{TO_TAG_DATE}}\n\nChanges from #{{FROM_TAG}} to #{{TO_TAG}}.\n\n#{{CHANGELOG}}\n\n[See full release details][release-#{{TO_TAG}}]\n\n[release-#{{TO_TAG}}]: https://github.com/#{{OWNER}}/#{{REPO}}/releases/tag/#{{TO_TAG}}\n\n---",
-  "pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
-  "empty_template": "- no changes"
-}

.github/configuration-unreleased.json

@@ -1,68 +0,0 @@
-{
-  "categories": [
-    {
-      "title": "### ✨ New Features",
-      "labels": ["feat"]
-    },
-    {
-      "title": "### 🌍 Internationalization",
-      "labels": ["i18n"]
-    },
-    {
-      "title": "### 👐 Accessibility",
-      "labels": ["a11y"]
-    },
-    {
-      "title": "### 🔧 Fixes",
-      "labels": ["Fix", "fix"]
-    },
-    {
-      "title": "### ⚙️ Other Changes",
-      "labels": ["ci", "style", "docs", "refactor", "chore"]
-    }
-  ],
-  "ignore_labels": [
-    "🔁 duplicate",
-    "📊 analytics",
-    "🌱 good first issue",
-    "🔍 investigation",
-    "🙏 help wanted",
-    "❌ invalid",
-    "❓ question",
-    "🚫 wontfix",
-    "🚀 release",
-    "version",
-    "action"
-  ],
-  "base_branches": ["main"],
-  "sort": {
-    "order": "ASC",
-    "on_property": "mergedAt"
-  },
-  "label_extractor": [
-    {
-      "pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
-      "target": "$1",
-      "flags": "i",
-      "on_property": "title",
-      "method": "match"
-    },
-    {
-      "pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
-      "target": "version",
-      "flags": "i",
-      "on_property": "title",
-      "method": "match"
-    },
-    {
-      "pattern": "^(?:[^A-Za-z0-9]*)(action)\\b.*",
-      "target": "action",
-      "flags": "i",
-      "on_property": "title",
-      "method": "match"
-    }
-  ],
-  "template": "## [Unreleased]\n\n#{{CHANGELOG}}\n\n---",
-  "pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
-  "empty_template": "- no changes"
-}

.github/dependabot.yml

@@ -0,0 +1,47 @@
+# To get started with Dependabot version updates, you'll need to specify which
+# package ecosystems to update and where the package manifests are located.
+# Please see the documentation for all configuration options:
+# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
+
+version: 2
+updates:
+  - package-ecosystem: "npm" # See documentation for possible values
+    directory: "/api" # Location of package manifests
+    target-branch: "develop"
+    versioning-strategy: increase-if-necessary
+    schedule:
+      interval: "weekly"
+    allow:
+      # Allow both direct and indirect updates for all packages
+      - dependency-type: "all"
+    commit-message:
+      prefix: "npm api prod"
+      prefix-development: "npm api dev"
+      include: "scope"
+  - package-ecosystem: "npm" # See documentation for possible values
+    directory: "/client" # Location of package manifests
+    target-branch: "develop"
+    versioning-strategy: increase-if-necessary
+    schedule:
+      interval: "weekly"
+    allow:
+      # Allow both direct and indirect updates for all packages
+      - dependency-type: "all"
+    commit-message:
+      prefix: "npm client prod"
+      prefix-development: "npm client dev"
+      include: "scope"
+  - package-ecosystem: "npm" # See documentation for possible values
+    directory: "/" # Location of package manifests
+    target-branch: "develop"
+    versioning-strategy: increase-if-necessary
+    schedule:
+      interval: "weekly"
+    allow:
+      # Allow both direct and indirect updates for all packages
+      - dependency-type: "all"
+    commit-message:
+      prefix: "npm all prod"
+      prefix-development: "npm all dev"
+      include: "scope" 
+     

.github/playwright.yml

@@ -1,72 +1,62 @@
-# name: Playwright Tests
-# on:
-#   pull_request:
-#     branches: 
-#       - main
-#       - dev
-#       - release/*
-#     paths:
-#       - 'api/**'
-#       - 'client/**'
-#       - 'packages/**'
-#       - 'e2e/**'
-# jobs:
-#   tests_e2e:
-#     name: Run Playwright tests
-#     if: github.event.pull_request.head.repo.full_name == 'danny-avila/LibreChat'
-#     timeout-minutes: 60
-#     runs-on: ubuntu-latest
-#     env:
-#       NODE_ENV: CI
-#       CI: true
-#       SEARCH: false
-#       BINGAI_TOKEN: user_provided
-#       CHATGPT_TOKEN: user_provided
-#       MONGO_URI: ${{ secrets.MONGO_URI }}
-#       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-#       E2E_USER_EMAIL: ${{ secrets.E2E_USER_EMAIL }}
-#       E2E_USER_PASSWORD: ${{ secrets.E2E_USER_PASSWORD }}
-#       JWT_SECRET: ${{ secrets.JWT_SECRET }}
-#       JWT_REFRESH_SECRET: ${{ secrets.JWT_REFRESH_SECRET }}
-#       CREDS_KEY: ${{ secrets.CREDS_KEY }}
-#       CREDS_IV: ${{ secrets.CREDS_IV }}
-#       DOMAIN_CLIENT: ${{ secrets.DOMAIN_CLIENT }}
-#       DOMAIN_SERVER: ${{ secrets.DOMAIN_SERVER }}
-#       PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: 1 # Skip downloading during npm install
-#       PLAYWRIGHT_BROWSERS_PATH: 0 # Places binaries to node_modules/@playwright/test
-#       TITLE_CONVO: false
-#     steps:
-#       - uses: actions/checkout@v4
-#       - uses: actions/setup-node@v4
-#         with:
-#           node-version: 18
-#           cache: 'npm'
+name: Playwright Tests
+on:
+  push:
+    branches: [feat/playwright-jest-cicd]
+  pull_request:
+    branches: [feat/playwright-jest-cicd]
+jobs:
+  tests_e2e:
+    name: Run Playwright tests
+    timeout-minutes: 60
+    runs-on: ubuntu-latest
+    env:
+      #   BINGAI_TOKEN: ${{ secrets.BINGAI_TOKEN }}
+      #   CHATGPT_TOKEN: ${{ secrets.CHATGPT_TOKEN }}
+      MONGO_URI: ${{ secrets.MONGO_URI }}
+      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+      E2E_USER_EMAIL: ${{ secrets.E2E_USER_EMAIL }}
+      E2E_USER_PASSWORD: ${{ secrets.E2E_USER_PASSWORD }}
+      JWT_SECRET: ${{ secrets.JWT_SECRET }}
+      CREDS_KEY: ${{ secrets.CREDS_KEY }}
+      CREDS_IV: ${{ secrets.CREDS_IV }}
+      # NODE_ENV: ${{ vars.NODE_ENV }}
+      DOMAIN_CLIENT: ${{ vars.DOMAIN_CLIENT }}
+      DOMAIN_SERVER: ${{ vars.DOMAIN_SERVER }}
+    # PALM_KEY: ${{ secrets.PALM_KEY }}
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-node@v3
+        with:
+          node-version: 18
+          cache: 'npm'
 
-#       - name: Install global dependencies
-#         run: npm ci
+      - name: Install global dependencies
+        run: npm ci --ignore-scripts
 
-#       # - name: Remove sharp dependency
-#       #   run: rm -rf node_modules/sharp
+      - name: Install API dependencies
+        working-directory: ./api
+        run: npm ci --ignore-scripts
 
-#       # - name: Install sharp with linux dependencies
-#       #   run: cd api && SHARP_IGNORE_GLOBAL_LIBVIPS=1 npm install --arch=x64 --platform=linux --libc=glibc sharp
+      - name: Install Client dependencies
+        working-directory: ./client
+        run: npm ci --ignore-scripts
 
-#       - name: Build Client
-#         run: npm run frontend
+      - name: Build Client
+        run: cd client && npm run build:ci
 
-#       - name: Install Playwright
-#         run: |
-#           npx playwright install-deps
-#           npm install -D @playwright/test@latest
-#           npx playwright install chromium
+      - name: Install Playwright Browsers
+        run: npx playwright install --with-deps && npm install -D @playwright/test
 
-#       - name: Run Playwright tests
-#         run: npm run e2e:ci
+      - name: Start server
+        run: |
+          npm run backend & sleep 10
 
-#       - name: Upload playwright report
-#         uses: actions/upload-artifact@v3
-#         if: always()
-#         with:
-#           name: playwright-report
-#           path: e2e/playwright-report/
-#           retention-days: 30
+      - name: Run Playwright tests
+        run: npx playwright test --config=e2e/playwright.config.ts
+
+      - uses: actions/upload-artifact@v3
+        if: always()
+        with:
+          name: playwright-report
+          path: e2e/playwright-report/
+          retention-days: 30

.github/pull_request_template.md

@@ -1,41 +1,35 @@
-# Pull Request Template
+Please include a summary of the changes and the related issue. Please also include relevant motivation and context. List any dependencies that are required for this change.
 
-⚠️ 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.
 
-⚠️ Documentation Updates Notice:
-- Kindly note that documentation updates are managed in this repository: [librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
 
-## Summary
+## Type of change
 
-Please provide a brief summary of your changes and the related issue. Include any motivation and context that is relevant to your changes. If there are any dependencies necessary for your changes, please list them here.
-
-## Change Type
-
-Please delete any irrelevant options.
+Please delete options that are not relevant.
 
 - [ ] Bug fix (non-breaking change which fixes an issue)
 - [ ] New feature (non-breaking change which adds functionality)
 - [ ] 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
+## How Has This Been Tested?
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration:
+##
 
-Please describe your test process and include instructions so that we can reproduce your test. If there are any important variables for your testing configuration, list them here.
 
 ### **Test Configuration**:
+##
 
-## Checklist
 
-Please delete any irrelevant options.
+## Checklist:
 
-- [ ] My code adheres to this project's style guidelines
-- [ ] I have performed a self-review of my own code
-- [ ] I have commented in any complex areas of my code
-- [ ] I have made pertinent documentation changes
-- [ ] My changes do not introduce new warnings
-- [ ] 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.
-- [ ] A pull request for updating the documentation has been submitted.
+- [ ] My code follows the style guidelines of this project
+- [ ] I have performed a self-review of my code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] I have made corresponding changes to the documentation
+- [ ] My changes generate no new warnings
+- [ ] I have added tests that prove my fix is effective or that my feature works
+- [ ] New and existing unit tests pass locally with my changes
+- [ ] Any dependent changes have been merged and published in downstream modules

.github/wip-playwright.yml

@@ -0,0 +1,28 @@
+name: Playwright Tests
+on:
+  push:
+    branches: [ main, master ]
+  pull_request:
+    branches: [ main, master ]
+jobs:
+  tests_e2e:
+    name: Run end-to-end tests
+    timeout-minutes: 60
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - uses: actions/setup-node@v3
+      with:
+        node-version: 18
+    - name: Install dependencies
+      run: npm ci
+    - name: Install Playwright Browsers
+      run: npx playwright install --with-deps
+    - name: Run Playwright tests
+      run: npx playwright test
+    - uses: actions/upload-artifact@v3
+      if: always()
+      with:
+        name: playwright-report
+        path: e2e/playwright-report/
+        retention-days: 30

.github/workflows/a11y.yml

@@ -1,26 +0,0 @@
-name: Lint for accessibility issues
-
-on:
-  pull_request:
-    paths:
-      - 'client/src/**'
-  workflow_dispatch:
-    inputs:
-      run_workflow:
-        description: 'Set to true to run this workflow'
-        required: true
-        default: 'false'
-
-jobs:
-  axe-linter:
-    runs-on: ubuntu-latest
-    if: >
-      (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'danny-avila/LibreChat') ||
-      (github.event_name == 'workflow_dispatch' && github.event.inputs.run_workflow == 'true')
-    
-    steps:
-      - uses: actions/checkout@v4
-      - uses: dequelabs/axe-linter-action@v1
-        with:
-          api_key: ${{ secrets.AXE_LINTER_API_KEY }}
-          github_token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/backend-review.yml

@@ -1,13 +1,10 @@
+
 name: Backend Unit Tests
 on:
+  push:
+    branches: [feat/playwright-jest-cicd]
   pull_request:
-    branches:
-      - main
-      - dev
-      - release/*
-    paths:
-      - 'api/**'
-      - 'packages/**'
+    branches: [ feat/playwright-jest-cicd ]
 jobs:
   tests_Backend:
     name: Run Backend unit tests
@@ -19,56 +16,19 @@ jobs:
       JWT_SECRET: ${{ secrets.JWT_SECRET }}
       CREDS_KEY: ${{ secrets.CREDS_KEY }}
       CREDS_IV: ${{ secrets.CREDS_IV }}
-      BAN_VIOLATIONS: ${{ secrets.BAN_VIOLATIONS }}
-      BAN_DURATION: ${{ secrets.BAN_DURATION }}
-      BAN_INTERVAL: ${{ secrets.BAN_INTERVAL }}
-      NODE_ENV: CI
     steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
+      - uses: actions/checkout@v2
+      - name: Use Node.js 19.x
+        uses: actions/setup-node@v3
         with:
-          node-version: 20
+          node-version: 19.x
           cache: 'npm'
 
       - name: Install dependencies
-        run: npm ci
+        run: npm ci --ignore-scripts
 
-      - name: Install Data Provider Package
-        run: npm run build:data-provider
-
-      - name: Install Data Schemas Package
-        run: npm run build:data-schemas
-
-      - name: Install API Package
-        run: npm run build:api
-
-      - name: Create empty auth.json file
-        run: |
-          mkdir -p api/data
-          echo '{}' > api/data/auth.json
-
-      - name: Check for Circular dependency in rollup
-        working-directory: ./packages/data-provider
-        run: |
-          output=$(npm run rollup:api)
-          echo "$output"
-          if echo "$output" | grep -q "Circular dependency"; then
-            echo "Error: Circular dependency detected!"
-            exit 1
-          fi
-
-      - name: Prepare .env.test file
-        run: cp api/test/.env.test.example api/test/.env.test
+      # - name: Install Linux X64 Sharp
+      #   run: npm install --platform=linux --arch=x64 --verbose sharp 
 
       - name: Run unit tests
-        run: cd api && npm run test:ci
-
-      - name: Run librechat-data-provider unit tests
-        run: cd packages/data-provider && npm run test:ci
-
-      - name: Run @librechat/data-schemas unit tests
-        run: cd packages/data-schemas && npm run test:ci
-
-      - name: Run @librechat/api unit tests
-        run: cd packages/api && npm run test:ci
+        run: cd api && npm run test:ci

.github/workflows/build.yml

@@ -1,38 +0,0 @@
-name: Linux_Container_Workflow
-
-on:
-  workflow_dispatch:
-
-env:
-  RUNNER_VERSION: 2.293.0
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    steps:
-      # checkout the repo
-      - name: 'Checkout GitHub Action'
-        uses: actions/checkout@main
-
-      - name: 'Login via Azure CLI'
-        uses: azure/login@v1
-        with:
-          creds: ${{ secrets.AZURE_CREDENTIALS }}
-
-      - name: 'Build GitHub Runner container image'
-        uses: azure/docker-login@v1
-        with:
-          login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }}
-          username: ${{ secrets.REGISTRY_USERNAME }}
-          password: ${{ secrets.REGISTRY_PASSWORD }}
-      - run: |
-          docker build --build-arg RUNNER_VERSION=${{ env.RUNNER_VERSION }} -t ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }} .
-
-      - name: 'Push container image to ACR'
-        uses: azure/docker-login@v1
-        with:
-          login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }}
-          username: ${{ secrets.REGISTRY_USERNAME }}
-          password: ${{ secrets.REGISTRY_PASSWORD }}
-      - run: |
-          docker push ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }}

.github/workflows/cache-integration-tests.yml

@@ -1,89 +0,0 @@
-name: Cache Integration Tests
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - release/*
-    paths:
-      - 'packages/api/src/cache/**'
-      - 'packages/api/src/cluster/**'
-      - 'packages/api/src/mcp/**'
-      - 'redis-config/**'
-      - '.github/workflows/cache-integration-tests.yml'
-
-jobs:
-  cache_integration_tests:
-    name: Integration Tests that use actual Redis Cache
-    timeout-minutes: 30
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'npm'
-
-      - name: Install Redis tools
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y redis-server redis-tools
-
-      - name: Start Single Redis Instance
-        run: |
-          redis-server --daemonize yes --port 6379
-          sleep 2
-          # Verify single Redis is running
-          redis-cli -p 6379 ping || exit 1
-
-      - name: Start Redis Cluster
-        working-directory: redis-config
-        run: |
-          chmod +x start-cluster.sh stop-cluster.sh
-          ./start-cluster.sh
-          sleep 10
-          # Verify cluster is running
-          redis-cli -p 7001 cluster info || exit 1
-          redis-cli -p 7002 cluster info || exit 1
-          redis-cli -p 7003 cluster info || exit 1
-
-      - name: Install dependencies
-        run: npm ci
-
-      - name: Build packages
-        run: |
-          npm run build:data-provider
-          npm run build:data-schemas
-          npm run build:api
-
-      - name: Run all cache integration tests (Single Redis Node)
-        working-directory: packages/api
-        env:
-          NODE_ENV: test
-          USE_REDIS: true
-          USE_REDIS_CLUSTER: false
-          REDIS_URI: redis://127.0.0.1:6379
-        run: npm run test:cache-integration
-
-      - name: Run all cache integration tests (Redis Cluster)
-        working-directory: packages/api
-        env:
-          NODE_ENV: test
-          USE_REDIS: true
-          USE_REDIS_CLUSTER: true
-          REDIS_URI: redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
-        run: npm run test:cache-integration
-
-      - name: Stop Redis Cluster
-        if: always()
-        working-directory: redis-config
-        run: ./stop-cluster.sh || true
-
-      - name: Stop Single Redis Instance
-        if: always()
-        run: redis-cli -p 6379 shutdown || true

.github/workflows/client.yml

@@ -1,58 +0,0 @@
-name: Publish `@librechat/client` to NPM
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'packages/client/package.json'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: false
-        default: 'Manual publish requested'
-
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      
-      - name: Use Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.x'
-        
-      - name: Install client dependencies
-        run: cd packages/client && npm ci
-        
-      - name: Build client
-        run: cd packages/client && npm run build
-        
-      - name: Set up npm authentication
-        run: echo "//registry.npmjs.org/:_authToken=${{ secrets.PUBLISH_NPM_TOKEN }}" > ~/.npmrc
-        
-      - name: Check version change
-        id: check
-        working-directory: packages/client
-        run: |
-          PACKAGE_VERSION=$(node -p "require('./package.json').version")
-          PUBLISHED_VERSION=$(npm view @librechat/client version 2>/dev/null || echo "0.0.0")
-          if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
-            echo "No version change, skipping publish"
-            echo "skip=true" >> $GITHUB_OUTPUT
-          else
-            echo "Version changed, proceeding with publish"
-            echo "skip=false" >> $GITHUB_OUTPUT
-          fi
-            
-      - name: Pack package
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/client
-        run: npm pack
-        
-      - name: Publish
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/client
-        run: npm publish *.tgz --access public

.github/workflows/data-provider.yml

@@ -1,40 +0,0 @@
-name: Publish `librechat-data-provider` to NPM
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'packages/data-provider/package.json'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: false
-        default: 'Manual publish requested'
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 20
-      - run: cd packages/data-provider && npm ci
-      - run: cd packages/data-provider && npm run build
-
-  publish-npm:
-    needs: build
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          registry-url: 'https://registry.npmjs.org'
-      - run: cd packages/data-provider && npm ci
-      - run: cd packages/data-provider && npm run build
-      - run: cd packages/data-provider && npm publish
-        env:
-          NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}}

.github/workflows/data-schemas.yml

@@ -1,58 +0,0 @@
-name: Publish `@librechat/data-schemas` to NPM
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'packages/data-schemas/package.json'
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: false
-        default: 'Manual publish requested'
-
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      
-      - name: Use Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.x'
-          
-      - name: Install dependencies
-        run: cd packages/data-schemas && npm ci
-        
-      - name: Build
-        run: cd packages/data-schemas && npm run build
-        
-      - name: Set up npm authentication
-        run: echo "//registry.npmjs.org/:_authToken=${{ secrets.PUBLISH_NPM_TOKEN }}" > ~/.npmrc
-        
-      - name: Check version change
-        id: check
-        working-directory: packages/data-schemas
-        run: |
-          PACKAGE_VERSION=$(node -p "require('./package.json').version")
-          PUBLISHED_VERSION=$(npm view @librechat/data-schemas version 2>/dev/null || echo "0.0.0")
-          if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
-            echo "No version change, skipping publish"
-            echo "skip=true" >> $GITHUB_OUTPUT
-          else
-            echo "Version changed, proceeding with publish"
-            echo "skip=false" >> $GITHUB_OUTPUT
-          fi
-            
-      - name: Pack package
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/data-schemas
-        run: npm pack
-        
-      - name: Publish
-        if: steps.check.outputs.skip != 'true'
-        working-directory: packages/data-schemas
-        run: npm publish *.tgz --access public

.github/workflows/deploy-dev.yml

@@ -1,46 +0,0 @@
-name: Update Test Server
-
-on:
-  workflow_run:
-    workflows: ["Docker Dev Branch Images Build"]
-    types:
-      - completed
-  workflow_dispatch:
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    if: |
-      github.repository == 'danny-avila/LibreChat' &&
-      (github.event_name == 'workflow_dispatch' || 
-       (github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.head_branch == 'dev'))
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-
-    - name: Install SSH Key
-      uses: shimataro/ssh-key-action@v2
-      with:
-        key: ${{ secrets.DO_SSH_PRIVATE_KEY }}
-        known_hosts: ${{ secrets.DO_KNOWN_HOSTS }}
-
-    - name: Run update script on DigitalOcean Droplet
-      env:
-        DO_HOST: ${{ secrets.DO_HOST }}
-        DO_USER: ${{ secrets.DO_USER }}
-      run: |
-        ssh -o StrictHostKeyChecking=no ${DO_USER}@${DO_HOST} << EOF
-        sudo -i -u danny bash << 'EEOF'
-        cd ~/LibreChat && \
-        git fetch origin main && \
-        sudo npm run stop:deployed && \
-        sudo docker images --format "{{.Repository}}:{{.ID}}" | grep -E "lc-dev|librechat" | cut -d: -f2 | xargs -r sudo docker rmi -f || true && \
-        sudo npm run update:deployed && \
-        git checkout dev && \
-        git pull origin dev && \
-        git checkout do-deploy && \
-        git rebase dev && \
-        sudo npm run start:deployed && \
-        echo "Update completed. Application should be running now."
-        EEOF
-        EOF

.github/workflows/deploy.yml

@@ -1,38 +0,0 @@
-name: Deploy_GHRunner_Linux_ACI
-
-on:
-  workflow_dispatch:
-
-env:
-  RUNNER_VERSION: 2.293.0
-  ACI_RESOURCE_GROUP: 'Demo-ACI-GitHub-Runners-RG'
-  ACI_NAME: 'gh-runner-linux-01'
-  DNS_NAME_LABEL: 'gh-lin-01'
-  GH_OWNER: ${{ github.repository_owner }}
-  GH_REPOSITORY: 'LibreChat' #Change here to deploy self hosted runner ACI to another repo.
-
-jobs:
-  deploy-gh-runner-aci:
-    runs-on: ubuntu-latest
-    steps:
-      # checkout the repo
-      - name: 'Checkout GitHub Action'
-        uses: actions/checkout@v4
-
-      - name: 'Login via Azure CLI'
-        uses: azure/login@v1
-        with:
-          creds: ${{ secrets.AZURE_CREDENTIALS }}
-
-      - name: 'Deploy to Azure Container Instances'
-        uses: 'azure/aci-deploy@v1'
-        with:
-          resource-group: ${{ env.ACI_RESOURCE_GROUP }}
-          image: ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }}
-          registry-login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }}
-          registry-username: ${{ secrets.REGISTRY_USERNAME }}
-          registry-password: ${{ secrets.REGISTRY_PASSWORD }}
-          name: ${{ env.ACI_NAME }}
-          dns-name-label: ${{ env.DNS_NAME_LABEL }}
-          environment-variables: GH_TOKEN=${{ secrets.PAT_TOKEN }} GH_OWNER=${{ env.GH_OWNER }} GH_REPOSITORY=${{ env.GH_REPOSITORY }}
-          location: 'eastus'

.github/workflows/dev-branch-images.yml

@@ -1,72 +0,0 @@
-name: Docker Dev Branch Images Build
-
-on:
-  workflow_dispatch:
-  push:
-    branches:
-      - dev
-    paths:
-      - 'api/**'
-      - 'client/**'
-      - 'packages/**'
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - target: api-build
-            file: Dockerfile.multi
-            image_name: lc-dev-api
-          - target: node
-            file: Dockerfile
-            image_name: lc-dev
-
-    steps:
-      # Check out the repository
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      # Set up QEMU
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      # Set up Docker Buildx
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Login to Docker Hub
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      # Prepare the environment
-      - name: Prepare environment
-        run: |
-          cp .env.example .env
-
-      # Build and push Docker images for each target
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ matrix.file }}
-          push: true
-          tags: |
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
-          platforms: linux/amd64,linux/arm64
-          target: ${{ matrix.target }} 

.github/workflows/dev-images.yml

@@ -1,72 +0,0 @@
-name: Docker Dev Images Build
-
-on:
-  workflow_dispatch:
-  push:
-    branches:
-      - main
-    paths:
-      - 'api/**'
-      - 'client/**'
-      - 'packages/**'
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - target: api-build
-            file: Dockerfile.multi
-            image_name: librechat-dev-api
-          - target: node
-            file: Dockerfile
-            image_name: librechat-dev
-
-    steps:
-      # Check out the repository
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      # Set up QEMU
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      # Set up Docker Buildx
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Login to Docker Hub
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      # Prepare the environment
-      - name: Prepare environment
-        run: |
-          cp .env.example .env
-
-      # Build and push Docker images for each target
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ matrix.file }}
-          push: true
-          tags: |
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
-          platforms: linux/amd64,linux/arm64
-          target: ${{ matrix.target }}

.github/workflows/eslint-ci.yml

@@ -1,59 +0,0 @@
-name: ESLint Code Quality Checks
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - release/*
-    paths:
-      - 'api/**'
-      - 'client/**'
-
-jobs:
-  eslint_checks:
-    name: Run ESLint Linting
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      security-events: write
-      actions: read
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Node.js 20.x
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: npm
-
-      - name: Install dependencies
-        run: npm ci
-
-      # Run ESLint on changed files within the api/ and client/ directories.
-      - name: Run ESLint on changed files
-        run: |
-          # Extract the base commit SHA from the pull_request event payload.
-          BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
-          echo "Base commit SHA: $BASE_SHA"
-
-          # Get changed files (only JS/TS files in api/ or client/)
-          CHANGED_FILES=$(git diff --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD | grep -E '^(api|client)/.*\.(js|jsx|ts|tsx)$' || true)
-
-          # Debug output
-          echo "Changed files:"
-          echo "$CHANGED_FILES"
-
-          # Ensure there are files to lint before running ESLint
-          if [[ -z "$CHANGED_FILES" ]]; then
-            echo "No matching files changed. Skipping ESLint."
-            exit 0
-          fi
-
-          # Run ESLint
-          npx eslint --no-error-on-unmatched-pattern \
-            --config eslint.config.mjs \
-            $CHANGED_FILES

.github/workflows/frontend-review.yml

@@ -1,56 +1,28 @@
+#github action to run unit tests for frontend with jest
 name: Frontend Unit Tests
-
 on:
+  push:
+    branches: [main, dev]
   pull_request:
-    branches: 
-      - main
-      - dev
-      - release/*
-    paths:
-      - 'client/**'
-      - 'packages/data-provider/**'
-
+    branches: [main, dev]
 jobs:
-  tests_frontend_ubuntu:
-    name: Run frontend unit tests on Ubuntu
+  tests_frontend:
+    name: Run frontend unit tests
     timeout-minutes: 60
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
+      - uses: actions/checkout@v2
+      - name: Use Node.js 19.x
+        uses: actions/setup-node@v3
         with:
-          node-version: 20
+          node-version: 19.x
           cache: 'npm'
 
       - name: Install dependencies
-        run: npm ci
+        run: npm ci --ignore-scripts
 
       - name: Build Client
-        run: npm run frontend:ci
+        run: cd client && npm run build:ci
 
       - name: Run unit tests
-        run: npm run test:ci --verbose
-        working-directory: client
-
-  tests_frontend_windows:
-    name: Run frontend unit tests on Windows
-    timeout-minutes: 60
-    runs-on: windows-latest
-    steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'npm'
-
-      - name: Install dependencies
-        run: npm ci
-
-      - name: Build Client
-        run: npm run frontend:ci
-
-      - name: Run unit tests
-        run: npm run test:ci --verbose
-        working-directory: client
+        run: cd client && npm run test:ci

.github/workflows/generate_embeddings.yml

@@ -1,20 +0,0 @@
-name: 'generate_embeddings'
-on:
-  workflow_dispatch:
-  push:
-    branches:
-      - main
-    paths:
-      - 'docs/**'
-
-jobs:
-  generate:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v3
-      - uses: supabase/embeddings-generator@v0.0.5
-        with:
-          supabase-url: ${{ secrets.SUPABASE_URL }}
-          supabase-service-role-key: ${{ secrets.SUPABASE_SERVICE_ROLE_KEY }}
-          openai-key: ${{ secrets.OPENAI_DOC_EMBEDDINGS_KEY }}
-          docs-root-path: 'docs'

.github/workflows/helmcharts.yml

@@ -1,75 +0,0 @@
-name: Build Helm Charts on Tag
-
-# The workflow is triggered when a tag is pushed
-on:
-  push:
-    tags:
-      - "chart-*"
-
-jobs:
-  release:
-    permissions:
-      contents: write
-      packages: write
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Configure Git
-        run: |
-          git config user.name "$GITHUB_ACTOR"
-          git config user.email "$GITHUB_ACTOR@users.noreply.github.com"
-
-      - name: Install Helm
-        uses: azure/setup-helm@v4
-        env:
-          GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
-      
-      - name: Build Subchart Deps
-        run: |
-          cd helm/librechat
-          helm dependency build  
-          cd ../librechat-rag-api
-          helm dependency build      
-
-      - name: Get Chart Version
-        id: chart-version
-        run: |
-          CHART_VERSION=$(echo "${{ github.ref_name }}" | cut -d'-' -f2)
-          echo "CHART_VERSION=${CHART_VERSION}" >> "$GITHUB_OUTPUT"
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Run Helm OCI Charts Releaser
-      # This is for the librechat chart
-      - name: Release Helm OCI Charts for librechat
-        uses: appany/helm-oci-chart-releaser@v0.4.2
-        with:
-          name: librechat
-          repository: ${{ github.actor }}/librechat-chart
-          tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
-          path: helm/librechat
-          registry: ghcr.io
-          registry_username: ${{ github.actor }}
-          registry_password: ${{ secrets.GITHUB_TOKEN }}
-      
-      # this is for the librechat-rag-api chart
-      - name: Release Helm OCI Charts for librechat-rag-api
-        uses: appany/helm-oci-chart-releaser@v0.4.2
-        with:
-          name: librechat-rag-api
-          repository: ${{ github.actor }}/librechat-chart
-          tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
-          path: helm/librechat-rag-api
-          registry: ghcr.io
-          registry_username: ${{ github.actor }}
-          registry_password: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/i18n-unused-keys.yml

@@ -1,149 +0,0 @@
-name: Detect Unused i18next Strings
-
-# This workflow checks for unused i18n keys in translation files.
-# It has special handling for:
-# - com_ui_special_var_* keys that are dynamically constructed
-# - com_agents_category_* keys that are stored in the database and used dynamically
-
-on:
-  pull_request:
-    paths:
-      - "client/src/**"
-      - "api/**"
-      - "packages/data-provider/src/**"
-      - "packages/client/**"
-      - "packages/data-schemas/src/**"
-
-jobs:
-  detect-unused-i18n-keys:
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v3
-
-      - name: Find unused i18next keys
-        id: find-unused
-        run: |
-          echo "🔍 Scanning for unused i18next keys..."
-
-          # Define paths
-          I18N_FILE="client/src/locales/en/translation.json"
-          SOURCE_DIRS=("client/src" "api" "packages/data-provider/src" "packages/client" "packages/data-schemas/src")
-
-          # Check if translation file exists
-          if [[ ! -f "$I18N_FILE" ]]; then
-            echo "::error title=Missing i18n File::Translation file not found: $I18N_FILE"
-            exit 1
-          fi
-
-          # Extract all keys from the JSON file
-          KEYS=$(jq -r 'keys[]' "$I18N_FILE")
-
-          # Track unused keys
-          UNUSED_KEYS=()
-
-          # Check if each key is used in the source code
-          for KEY in $KEYS; do
-            FOUND=false
-            
-            # Special case for dynamically constructed special variable keys
-            if [[ "$KEY" == com_ui_special_var_* ]]; then
-              # Check if TSpecialVarLabel is used in the codebase
-              for DIR in "${SOURCE_DIRS[@]}"; do
-                if grep -r --include=\*.{js,jsx,ts,tsx} -q "TSpecialVarLabel" "$DIR"; then
-                  FOUND=true
-                  break
-                fi
-              done
-              
-              # Also check if the key is directly used somewhere
-              if [[ "$FOUND" == false ]]; then
-                for DIR in "${SOURCE_DIRS[@]}"; do
-                  if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
-                    FOUND=true
-                    break
-                  fi
-                done
-              fi
-            # Special case for agent category keys that are dynamically used from database
-            elif [[ "$KEY" == com_agents_category_* ]]; then
-              # Check if agent category localization is being used
-              for DIR in "${SOURCE_DIRS[@]}"; do
-                # Check for dynamic category label/description usage
-                if grep -r --include=\*.{js,jsx,ts,tsx} -E "category\.(label|description).*startsWith.*['\"]com_" "$DIR" > /dev/null 2>&1 || \
-                   # Check for the method that defines these keys
-                   grep -r --include=\*.{js,jsx,ts,tsx} "ensureDefaultCategories" "$DIR" > /dev/null 2>&1 || \
-                   # Check for direct usage in agentCategory.ts
-                   grep -r --include=\*.ts -E "label:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1 || \
-                   grep -r --include=\*.ts -E "description:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1; then
-                  FOUND=true
-                  break
-                fi
-              done
-              
-              # Also check if the key is directly used somewhere
-              if [[ "$FOUND" == false ]]; then
-                for DIR in "${SOURCE_DIRS[@]}"; do
-                  if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
-                    FOUND=true
-                    break
-                  fi
-                done
-              fi
-            else
-              # Regular check for other keys
-              for DIR in "${SOURCE_DIRS[@]}"; do
-                if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
-                  FOUND=true
-                  break
-                fi
-              done
-            fi
-          
-            if [[ "$FOUND" == false ]]; then
-              UNUSED_KEYS+=("$KEY")
-            fi
-          done
-
-          # Output results
-          if [[ ${#UNUSED_KEYS[@]} -gt 0 ]]; then
-            echo "🛑 Found ${#UNUSED_KEYS[@]} unused i18n keys:"
-            echo "unused_keys=$(echo "${UNUSED_KEYS[@]}" | jq -R -s -c 'split(" ")')" >> $GITHUB_ENV
-            for KEY in "${UNUSED_KEYS[@]}"; do
-              echo "::warning title=Unused i18n Key::'$KEY' is defined but not used in the codebase."
-            done
-          else
-            echo "✅ No unused i18n keys detected!"
-            echo "unused_keys=[]" >> $GITHUB_ENV
-          fi
-
-      - name: Post verified comment on PR
-        if: env.unused_keys != '[]'
-        run: |
-          PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
-
-          # Format the unused keys list as checkboxes for easy manual checking.
-          FILTERED_KEYS=$(echo "$unused_keys" | jq -r '.[]' | grep -v '^\s*$' | sed 's/^/- [ ] `/;s/$/`/' )
-
-          COMMENT_BODY=$(cat <<EOF
-          ### 🚨 Unused i18next Keys Detected
-
-          The following translation keys are defined in \`translation.json\` but are **not used** in the codebase:
-
-          $FILTERED_KEYS
-
-          ⚠️ **Please remove these unused keys to keep the translation files clean.**
-          EOF
-          )
-
-          gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-            -f body="$COMMENT_BODY" \
-            -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}"
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Fail workflow if unused keys found
-        if: env.unused_keys != '[]'
-        run: exit 1

.github/workflows/locize-i18n-sync.yml

@@ -1,72 +0,0 @@
-name: Sync Locize Translations & Create Translation PR
-
-on:
-  push:
-    branches: [main]
-  repository_dispatch:
-    types: [locize/versionPublished]
-
-jobs:
-  sync-translations:
-    name: Sync Translation Keys with Locize
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-
-      - name: Set Up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-
-      - name: Install locize CLI
-        run: npm install -g locize-cli
-
-      # Sync translations (Push missing keys & remove deleted ones)
-      - name: Sync Locize with Repository
-        if: ${{ github.event_name == 'push' }}
-        run: |
-          cd client/src/locales
-          locize sync --api-key ${{ secrets.LOCIZE_API_KEY }} --project-id ${{ secrets.LOCIZE_PROJECT_ID }} --language en
-
-      # When triggered by repository_dispatch, skip sync step.
-      - name: Skip sync step on non-push events
-        if: ${{ github.event_name != 'push' }}
-        run: echo "Skipping sync as the event is not a push."
-
-  create-pull-request:
-    name: Create Translation PR on Version Published
-    runs-on: ubuntu-latest
-    needs: sync-translations
-    permissions:
-      contents: write
-      pull-requests: write
-    steps:
-      # 1. Check out the repository.
-      - name: Checkout Repository
-        uses: actions/checkout@v4
-
-      # 2. Download translation files from locize.
-      - name: Download Translations from locize
-        uses: locize/download@v2
-        with:
-          project-id: ${{ secrets.LOCIZE_PROJECT_ID }}
-          path: "client/src/locales"
-
-      # 3. Create a Pull Request using built-in functionality.
-      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          sign-commits: true
-          commit-message: "🌍 i18n: Update translation.json with latest translations"
-          base: main
-          branch: i18n/locize-translation-update
-          reviewers: danny-avila
-          title: "🌍 i18n: Update translation.json with latest translations"
-          body: |
-            **Description**:
-            - 🎯 **Objective**: Update `translation.json` with the latest translations from locize.
-            - 🔍 **Details**: This PR is automatically generated upon receiving a versionPublished event with version "latest". It reflects the newest translations provided by locize.
-            - ✅ **Status**: Ready for review.
-          labels: "🌍 i18n"

.github/workflows/main-image-workflow.yml

@@ -1,69 +0,0 @@
-name: Docker Compose Build Latest Main Image Tag (Manual Dispatch)
-
-on:
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - target: api-build
-            file: Dockerfile.multi
-            image_name: librechat-api
-          - target: node
-            file: Dockerfile
-            image_name: librechat
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Fetch tags and set the latest tag
-        run: |
-          git fetch --tags
-          echo "LATEST_TAG=$(git describe --tags `git rev-list --tags --max-count=1`)" >> $GITHUB_ENV
-
-      # Set up QEMU
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      # Set up Docker Buildx
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Login to Docker Hub
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      # Prepare the environment
-      - name: Prepare environment
-        run: |
-          cp .env.example .env
-
-      # Build and push Docker images for each target
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ matrix.file }}
-          push: true
-          tags: |
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ env.LATEST_TAG }}
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ env.LATEST_TAG }}
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
-          platforms: linux/amd64,linux/arm64
-          target: ${{ matrix.target }}

.github/workflows/tag-images.yml

@@ -1,67 +0,0 @@
-name: Docker Images Build on Tag
-
-on:
-  push:
-    tags:
-      - '*'
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - target: api-build
-            file: Dockerfile.multi
-            image_name: librechat-api
-          - target: node
-            file: Dockerfile
-            image_name: librechat
-
-    steps:
-      # Check out the repository
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      # Set up QEMU
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      # Set up Docker Buildx
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      # Log in to GitHub Container Registry
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Login to Docker Hub
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      # Prepare the environment
-      - name: Prepare environment
-        run: |
-          cp .env.example .env
-
-      # Build and push Docker images for each target
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ${{ matrix.file }}
-          push: true
-          tags: |
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.ref_name }}
-            ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.ref_name }}
-            ${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
-          platforms: linux/amd64,linux/arm64
-          target: ${{ matrix.target }}

.github/workflows/unused-packages.yml

@@ -1,244 +0,0 @@
-name: Detect Unused NPM Packages
-
-on:
-  pull_request:
-    paths:
-      - 'package.json'
-      - 'package-lock.json'
-      - 'client/**'
-      - 'api/**'
-      - 'packages/client/**'
-
-jobs:
-  detect-unused-packages:
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'npm'
-
-      - name: Install depcheck
-        run: npm install -g depcheck
-
-      - name: Validate JSON files
-        run: |
-          for FILE in package.json client/package.json api/package.json packages/client/package.json; do
-            if [[ -f "$FILE" ]]; then
-              jq empty "$FILE" || (echo "::error title=Invalid JSON::$FILE is invalid" && exit 1)
-            fi
-          done
-
-      - name: Extract Dependencies Used in Scripts
-        id: extract-used-scripts
-        run: |
-          extract_deps_from_scripts() {
-            local package_file=$1
-            if [[ -f "$package_file" ]]; then
-              jq -r '.scripts | to_entries[].value' "$package_file" | \
-                grep -oE '([a-zA-Z0-9_-]+)' | sort -u > used_scripts.txt
-            else
-              touch used_scripts.txt
-            fi
-          }
-
-          extract_deps_from_scripts "package.json"
-          mv used_scripts.txt root_used_deps.txt
-
-          extract_deps_from_scripts "client/package.json"
-          mv used_scripts.txt client_used_deps.txt
-
-          extract_deps_from_scripts "api/package.json"
-          mv used_scripts.txt api_used_deps.txt
-
-      - name: Extract Dependencies Used in Source Code
-        id: extract-used-code
-        run: |
-          extract_deps_from_code() {
-            local folder=$1
-            local output_file=$2
-            if [[ -d "$folder" ]]; then
-              # Extract require() statements
-              grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)/\1/" > "$output_file"
-          
-              # Extract ES6 imports - various patterns
-              # import x from 'module'
-              grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # import 'module' (side-effect imports)
-              grep -rEho "import ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/import ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # export { x } from 'module' or export * from 'module'
-              grep -rEho "export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{js,ts,tsx,jsx,mjs,cjs} | \
-                sed -E "s/export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-              
-              # import type { x } from 'module' (TypeScript)
-              grep -rEho "import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" --include=\*.{ts,tsx} | \
-                sed -E "s/import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file"
-          
-              # Remove subpath imports but keep the base package
-              # e.g., '@tanstack/react-query/devtools' becomes '@tanstack/react-query'
-              sed -i -E 's|^(@?[a-zA-Z0-9-]+(/[a-zA-Z0-9-]+)?)/.*|\1|' "$output_file"
-              
-              sort -u "$output_file" -o "$output_file"
-            else
-              touch "$output_file"
-            fi
-          }
-
-          extract_deps_from_code "." root_used_code.txt
-          extract_deps_from_code "client" client_used_code.txt
-          extract_deps_from_code "api" api_used_code.txt
-          
-          # Extract dependencies used by @librechat/client package
-          extract_deps_from_code "packages/client" packages_client_used_code.txt
-
-      - name: Get @librechat/client dependencies
-        id: get-librechat-client-deps
-        run: |
-          if [[ -f "packages/client/package.json" ]]; then
-            # Get all dependencies from @librechat/client (dependencies, devDependencies, and peerDependencies)
-            DEPS=$(jq -r '.dependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            DEV_DEPS=$(jq -r '.devDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            PEER_DEPS=$(jq -r '.peerDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
-            
-            # Combine all dependencies
-            echo "$DEPS" > librechat_client_deps.txt
-            echo "$DEV_DEPS" >> librechat_client_deps.txt
-            echo "$PEER_DEPS" >> librechat_client_deps.txt
-            
-            # Also include dependencies that are imported in packages/client
-            cat packages_client_used_code.txt >> librechat_client_deps.txt
-            
-            # Remove empty lines and sort
-            grep -v '^$' librechat_client_deps.txt | sort -u > temp_deps.txt
-            mv temp_deps.txt librechat_client_deps.txt
-          else
-            touch librechat_client_deps.txt
-          fi
-
-      - name: Extract Workspace Dependencies
-        id: extract-workspace-deps
-        run: |
-          # Function to get dependencies from a workspace package that are used by another package
-          get_workspace_package_deps() {
-            local package_json=$1
-            local output_file=$2
-            
-            # Get all workspace dependencies (starting with @librechat/)
-            if [[ -f "$package_json" ]]; then
-              local workspace_deps=$(jq -r '.dependencies // {} | to_entries[] | select(.key | startswith("@librechat/")) | .key' "$package_json" 2>/dev/null || echo "")
-              
-              # For each workspace dependency, get its dependencies
-              for dep in $workspace_deps; do
-                # Convert @librechat/api to packages/api
-                local workspace_path=$(echo "$dep" | sed 's/@librechat\//packages\//')
-                local workspace_package_json="${workspace_path}/package.json"
-                
-                if [[ -f "$workspace_package_json" ]]; then
-                  # Extract all dependencies from the workspace package
-                  jq -r '.dependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
-                  # Also extract peerDependencies
-                  jq -r '.peerDependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
-                fi
-              done
-            fi
-            
-            if [[ -f "$output_file" ]]; then
-              sort -u "$output_file" -o "$output_file"
-            else
-              touch "$output_file"
-            fi
-          }
-          
-          # Get workspace dependencies for each package
-          get_workspace_package_deps "package.json" root_workspace_deps.txt
-          get_workspace_package_deps "client/package.json" client_workspace_deps.txt
-          get_workspace_package_deps "api/package.json" api_workspace_deps.txt
-
-      - name: Run depcheck for root package.json
-        id: check-root
-        run: |
-          if [[ -f "package.json" ]]; then
-            UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat root_used_deps.txt root_used_code.txt root_workspace_deps.txt | sort) || echo "")
-            echo "ROOT_UNUSED<<EOF" >> $GITHUB_ENV
-            echo "$UNUSED" >> $GITHUB_ENV
-            echo "EOF" >> $GITHUB_ENV
-          fi
-
-      - name: Run depcheck for client/package.json
-        id: check-client
-        run: |
-          if [[ -f "client/package.json" ]]; then
-            chmod -R 755 client
-            cd client
-            UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt ../client_workspace_deps.txt | sort) || echo "")
-            # Filter out false positives
-            UNUSED=$(echo "$UNUSED" | grep -v "^micromark-extension-llm-math$" || echo "")
-            echo "CLIENT_UNUSED<<EOF" >> $GITHUB_ENV
-            echo "$UNUSED" >> $GITHUB_ENV
-            echo "EOF" >> $GITHUB_ENV
-            cd ..
-          fi
-
-      - name: Run depcheck for api/package.json
-        id: check-api
-        run: |
-          if [[ -f "api/package.json" ]]; then
-            chmod -R 755 api
-            cd api
-            UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
-            # Exclude dependencies used in scripts, code, and workspace packages
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt ../api_workspace_deps.txt | sort) || echo "")
-            echo "API_UNUSED<<EOF" >> $GITHUB_ENV
-            echo "$UNUSED" >> $GITHUB_ENV
-            echo "EOF" >> $GITHUB_ENV
-            cd ..
-          fi
-
-      - name: Post comment on PR if unused dependencies are found
-        if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
-        run: |
-          PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
-
-          ROOT_LIST=$(echo "$ROOT_UNUSED" | awk '{print "- `" $0 "`"}')
-          CLIENT_LIST=$(echo "$CLIENT_UNUSED" | awk '{print "- `" $0 "`"}')
-          API_LIST=$(echo "$API_UNUSED" | awk '{print "- `" $0 "`"}')
-
-          COMMENT_BODY=$(cat <<EOF
-          ### 🚨 Unused NPM Packages Detected
-
-          The following **unused dependencies** were found:
-
-          $(if [[ ! -z "$ROOT_UNUSED" ]]; then echo "#### 📂 Root \`package.json\`"; echo ""; echo "$ROOT_LIST"; echo ""; fi)
-
-          $(if [[ ! -z "$CLIENT_UNUSED" ]]; then echo "#### 📂 Client \`client/package.json\`"; echo ""; echo "$CLIENT_LIST"; echo ""; fi)
-
-          $(if [[ ! -z "$API_UNUSED" ]]; then echo "#### 📂 API \`api/package.json\`"; echo ""; echo "$API_LIST"; echo ""; fi)
-
-          ⚠️ **Please remove these unused dependencies to keep your project clean.**
-          EOF
-          )
-
-          gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-            -f body="$COMMENT_BODY" \
-            -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}"
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Fail workflow if unused dependencies found
-        if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
-        run: exit 1

.gitignore

@@ -2,8 +2,7 @@
 
 # Logs
 data-node
-meili_data*
-data/
+meili_data
 logs
 *.log
 
@@ -11,10 +10,6 @@ logs
 pids
 *.pid
 *.seed
-.git
-
-# CI/CD data
-test-image*
 
 # Directory for instrumented libs generated by jscoverage/JSCover
 lib-cov
@@ -25,10 +20,6 @@ coverage
 # Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
 .grunt
 
-# translation services
-config/translations/stores/*
-client/src/localization/languages/*_missing_keys.json
-
 # Compiled Dirs (http://nodejs.org/api/addons.html)
 build/
 dist/
@@ -40,10 +31,6 @@ client/public/main.js
 client/public/main.js.map
 client/public/main.js.LICENSE.txt
 
-# Azure Blob Storage Emulator (Azurite)
-__azurite**
-__blobstorage__/**/*
-
 # Dependency directorys
 # Deployed apps should consider commenting these lines out:
 # see https://npmjs.org/doc/faq.html#Should-I-check-my-node_modules-folder-into-git
@@ -52,13 +39,7 @@ meili_data/
 api/node_modules/
 client/node_modules/
 bower_components/
-*.d.ts
-!vite-env.d.ts
-
-# AI
-.clineignore
-.cursor
-.aider*
+.turbo
 
 # Floobits
 .floo
@@ -66,16 +47,12 @@ bower_components/
 .floo
 .flooignore
 
-#config file
-librechat.yaml
-librechat.yml
-
 # Environment
 .npmrc
+.env
+!.env.example
+!.env.test.example
 .env*
-my.secrets
-!**/.env.example
-!**/.env.test.example
 cache.json
 api/data/
 owner.yml
@@ -87,85 +64,13 @@ src/style - official.css
 /playwright/.cache/
 .DS_Store
 *.code-workspace
-.idx
-monospace.json
 .idea
-*.iml
 *.pem
 config.local.ts
-**/storageState.json
+storageState.json
 junit.xml
-**/.venv/
-**/venv/
-
-# docker override file
-docker-compose.override.yaml
-docker-compose.override.yml
 
 # meilisearch
 meilisearch
-meilisearch.exe
 data.ms/*
 auth.json
-
-/packages/ux-shared/
-/images
-
-!client/src/components/Nav/SettingsTabs/Data/
-
-# User uploads
-uploads/
-
-# owner
-release/
-
-# Helm
-helm/librechat/Chart.lock
-helm/**/charts/
-helm/**/.values.yaml
-
-!/client/src/@types/i18next.d.ts
-
-# SAML Idp cert
-*.cert
-
-# AI Assistants
-/.claude/
-/.cursor/
-/.copilot/
-/.aider/
-/.openai/
-/.tabnine/
-/.codeium
-*.local.md
-
-
-# Removed Windows wrapper files per user request
-hive-mind-prompt-*.txt
-
-# Claude Flow generated files
-.claude/settings.local.json
-.mcp.json
-claude-flow.config.json
-.swarm/
-.hive-mind/
-.claude-flow/
-memory/
-coordination/
-memory/claude-flow-data.json
-memory/sessions/*
-!memory/sessions/README.md
-memory/agents/*
-!memory/agents/README.md
-coordination/memory_bank/*
-coordination/subtasks/*
-coordination/orchestration/*
-*.db
-*.db-journal
-*.db-wal
-*.sqlite
-*.sqlite-journal
-*.sqlite-wal
-claude-flow
-# Removed Windows wrapper files per user request
-hive-mind-prompt-*.txt

.husky/lint-staged.config.js

@@ -1,4 +0,0 @@
-module.exports = {
-  '*.{js,jsx,ts,tsx}': ['prettier --write', 'eslint --fix', 'eslint'],
-  '*.json': ['prettier --write'],
-};

.husky/pre-commit

@@ -1,2 +1,5 @@
+#!/usr/bin/env sh
+. "$(dirname -- "$0")/_/husky.sh"
 [ -n "$CI" ] && exit 0
-npx lint-staged --config ./.husky/lint-staged.config.js
+npx lint-staged
+

.prettierrc

@@ -1,19 +0,0 @@
-{
-  "tailwindConfig": "./client/tailwind.config.cjs",
-  "printWidth": 100,
-  "tabWidth": 2,
-  "useTabs": false,
-  "semi": true,
-  "singleQuote": true,
-  "trailingComma": "all",
-  "arrowParens": "always",
-  "embeddedLanguageFormatting": "auto",
-  "insertPragma": false,
-  "proseWrap": "preserve",
-  "quoteProps": "as-needed",
-  "requirePragma": false,
-  "rangeStart": 0,
-  "endOfLine": "auto",
-  "jsxSingleQuote": false,
-  "plugins": ["prettier-plugin-tailwindcss"]
-}

.prettierrc.js

@@ -0,0 +1,19 @@
+module.exports = {
+  printWidth: 100,
+  useTabs: false,
+  tabWidth: 2,
+  semi: true,
+  singleQuote: true,
+  // bracketSpacing: false,
+  trailingComma: 'none',
+  arrowParens: 'always',
+  embeddedLanguageFormatting: 'auto',
+  insertPragma: false,
+  proseWrap: 'preserve',
+  quoteProps: 'as-needed',
+  requirePragma: false,
+  rangeStart: 0,
+  endOfLine: 'auto',
+  jsxBracketSameLine: false,
+  jsxSingleQuote: false,
+};

.vscode/launch.json

@@ -1,18 +0,0 @@
-{
-  "version": "0.2.0",
-  "configurations": [
-    {
-      "type": "node",
-      "request": "launch",
-      "name": "Launch LibreChat (debug)",
-      "skipFiles": ["<node_internals>/**"],
-      "program": "${workspaceFolder}/api/server/index.js",
-      "env": {
-        "NODE_ENV": "production",
-        "NODE_TLS_REJECT_UNAUTHORIZED": "0"
-      },
-      "console": "integratedTerminal",
-      "envFile": "${workspaceFolder}/.env"
-    }
-  ]
-}

CHANGELOG.md

@@ -1,236 +0,0 @@
-# Changelog
-
-All notable changes to this project will be documented in this file.
-
-
-
-
-
-
-## [Unreleased]
-
-### ✨ New Features
-
-- ✨ feat: implement search parameter updates by **@mawburn** in [#7151](https://github.com/danny-avila/LibreChat/pull/7151)
-- 🎏 feat: Add MCP support for Streamable HTTP Transport by **@benverhees** in [#7353](https://github.com/danny-avila/LibreChat/pull/7353)
-- 🔒 feat: Add Content Security Policy using Helmet middleware by **@rubentalstra** in [#7377](https://github.com/danny-avila/LibreChat/pull/7377)
-- ✨ feat: Add Normalization for MCP Server Names by **@danny-avila** in [#7421](https://github.com/danny-avila/LibreChat/pull/7421)
-- 📊 feat: Improve Helm Chart by **@hofq** in [#3638](https://github.com/danny-avila/LibreChat/pull/3638)
-- 🦾 feat: Claude-4 Support by **@danny-avila** in [#7509](https://github.com/danny-avila/LibreChat/pull/7509)
-- 🪨 feat: Bedrock Support for Claude-4 Reasoning by **@danny-avila** in [#7517](https://github.com/danny-avila/LibreChat/pull/7517)
-
-### 🌍 Internationalization
-
-- 🌍 i18n: Add `Danish` and `Czech` and `Catalan` localization support by **@rubentalstra** in [#7373](https://github.com/danny-avila/LibreChat/pull/7373)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7375](https://github.com/danny-avila/LibreChat/pull/7375)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7468](https://github.com/danny-avila/LibreChat/pull/7468)
-
-### 🔧 Fixes
-
-- 💬 fix: update aria-label for accessibility in ConvoLink component by **@berry-13** in [#7320](https://github.com/danny-avila/LibreChat/pull/7320)
-- 🔑 fix: use `apiKey` instead of `openAIApiKey` in OpenAI-like Config by **@danny-avila** in [#7337](https://github.com/danny-avila/LibreChat/pull/7337)
-- 🔄 fix: update navigation logic in `useFocusChatEffect` to ensure correct search parameters are used by **@mawburn** in [#7340](https://github.com/danny-avila/LibreChat/pull/7340)
-- 🔄 fix: Improve MCP Connection Cleanup by **@danny-avila** in [#7400](https://github.com/danny-avila/LibreChat/pull/7400)
-- 🛡️ fix: Preset and Validation Logic for URL Query Params by **@danny-avila** in [#7407](https://github.com/danny-avila/LibreChat/pull/7407)
-- 🌘 fix: artifact of preview text is illegible in dark mode by **@nhtruong** in [#7405](https://github.com/danny-avila/LibreChat/pull/7405)
-- 🛡️ fix: Temporarily Remove CSP until Configurable by **@danny-avila** in [#7419](https://github.com/danny-avila/LibreChat/pull/7419)
-- 💽 fix: Exclude index page `/` from static cache settings by **@sbruel** in [#7382](https://github.com/danny-avila/LibreChat/pull/7382)
-
-### ⚙️ Other Changes
-
-- 📜 docs: CHANGELOG for release v0.7.8 by **@github-actions[bot]** in [#7290](https://github.com/danny-avila/LibreChat/pull/7290)
-- 📦 chore: Update API Package Dependencies by **@danny-avila** in [#7359](https://github.com/danny-avila/LibreChat/pull/7359)
-- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7321](https://github.com/danny-avila/LibreChat/pull/7321)
-- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7434](https://github.com/danny-avila/LibreChat/pull/7434)
-- 🛡️ chore: `multer` v2.0.0 for CVE-2025-47935 and CVE-2025-47944 by **@danny-avila** in [#7454](https://github.com/danny-avila/LibreChat/pull/7454)
-- 📂 refactor: Improve `FileAttachment` & File Form Deletion by **@danny-avila** in [#7471](https://github.com/danny-avila/LibreChat/pull/7471)
-- 📊 chore: Remove Old Helm Chart by **@hofq** in [#7512](https://github.com/danny-avila/LibreChat/pull/7512)
-- 🪖 chore: bump helm app version to v0.7.8 by **@austin-barrington** in [#7524](https://github.com/danny-avila/LibreChat/pull/7524)
-
-
-
----
-## [v0.7.8] - 
-
-Changes from v0.7.8-rc1 to v0.7.8.
-
-### ✨ New Features
-
-- ✨ feat: Enhance form submission for touch screens by **@berry-13** in [#7198](https://github.com/danny-avila/LibreChat/pull/7198)
-- 🔍 feat: Additional Tavily API Tool Parameters by **@glowforge-opensource** in [#7232](https://github.com/danny-avila/LibreChat/pull/7232)
-- 🐋 feat: Add python to Dockerfile for increased MCP compatibility by **@technicalpickles** in [#7270](https://github.com/danny-avila/LibreChat/pull/7270)
-
-### 🔧 Fixes
-
-- 🔧 fix: Google Gemma Support & OpenAI Reasoning Instructions by **@danny-avila** in [#7196](https://github.com/danny-avila/LibreChat/pull/7196)
-- 🛠️ fix: Conversation Navigation State by **@danny-avila** in [#7210](https://github.com/danny-avila/LibreChat/pull/7210)
-- 🔄 fix: o-Series Model Regex for System Messages by **@danny-avila** in [#7245](https://github.com/danny-avila/LibreChat/pull/7245)
-- 🔖 fix: Custom Headers for Initial MCP SSE Connection by **@danny-avila** in [#7246](https://github.com/danny-avila/LibreChat/pull/7246)
-- 🛡️ fix: Deep Clone `MCPOptions` for User MCP Connections by **@danny-avila** in [#7247](https://github.com/danny-avila/LibreChat/pull/7247)
-- 🔄 fix: URL Param Race Condition and File Draft Persistence by **@danny-avila** in [#7257](https://github.com/danny-avila/LibreChat/pull/7257)
-- 🔄 fix: Assistants Endpoint & Minor Issues by **@danny-avila** in [#7274](https://github.com/danny-avila/LibreChat/pull/7274)
-- 🔄 fix: Ollama Think Tag Edge Case with Tools by **@danny-avila** in [#7275](https://github.com/danny-avila/LibreChat/pull/7275)
-
-### ⚙️ Other Changes
-
-- 📜 docs: CHANGELOG for release v0.7.8-rc1 by **@github-actions[bot]** in [#7153](https://github.com/danny-avila/LibreChat/pull/7153)
-- 🔄 refactor: Artifact Visibility Management by **@danny-avila** in [#7181](https://github.com/danny-avila/LibreChat/pull/7181)
-- 📦 chore: Bump Package Security by **@danny-avila** in [#7183](https://github.com/danny-avila/LibreChat/pull/7183)
-- 🌿 refactor: Unmount Fork Popover on Hide for Better Performance by **@danny-avila** in [#7189](https://github.com/danny-avila/LibreChat/pull/7189)
-- 🧰 chore: ESLint configuration to enforce Prettier formatting rules by **@mawburn** in [#7186](https://github.com/danny-avila/LibreChat/pull/7186)
-- 🎨 style: Improve KaTeX Rendering for LaTeX Equations by **@andresgit** in [#7223](https://github.com/danny-avila/LibreChat/pull/7223)
-- 📝 docs: Update `.env.example` Google models by **@marlonka** in [#7254](https://github.com/danny-avila/LibreChat/pull/7254)
-- 💬 refactor: MCP Chat Visibility Option, Google Rates, Remove OpenAPI Plugins by **@danny-avila** in [#7286](https://github.com/danny-avila/LibreChat/pull/7286)
-- 📜 docs: Unreleased Changelog by **@github-actions[bot]** in [#7214](https://github.com/danny-avila/LibreChat/pull/7214)
-
-
-
-[See full release details][release-v0.7.8]
-
-[release-v0.7.8]: https://github.com/danny-avila/LibreChat/releases/tag/v0.7.8
-
----
-## [v0.7.8-rc1] - 
-
-Changes from v0.7.7 to v0.7.8-rc1.
-
-### ✨ New Features
-
-- 🔍 feat: Mistral OCR API / Upload Files as Text by **@danny-avila** in [#6274](https://github.com/danny-avila/LibreChat/pull/6274)
-- 🤖 feat: Support OpenAI Web Search models by **@danny-avila** in [#6313](https://github.com/danny-avila/LibreChat/pull/6313)
-- 🔗 feat: Agent Chain (Mixture-of-Agents) by **@danny-avila** in [#6374](https://github.com/danny-avila/LibreChat/pull/6374)
-- ⌛ feat: `initTimeout` for Slow Starting MCP Servers by **@perweij** in [#6383](https://github.com/danny-avila/LibreChat/pull/6383)
-- 🚀 feat: `S3` Integration for File handling and Image uploads by **@rubentalstra** in [#6142](https://github.com/danny-avila/LibreChat/pull/6142)
-- 🔒feat: Enable OpenID Auto-Redirect by **@leondape** in [#6066](https://github.com/danny-avila/LibreChat/pull/6066)
-- 🚀 feat: Integrate `Azure Blob Storage` for file handling and image uploads by **@rubentalstra** in [#6153](https://github.com/danny-avila/LibreChat/pull/6153)
-- 🚀 feat: Add support for custom `AWS` endpoint in `S3` by **@rubentalstra** in [#6431](https://github.com/danny-avila/LibreChat/pull/6431)
-- 🚀 feat: Add support for LDAP STARTTLS in LDAP authentication by **@rubentalstra** in [#6438](https://github.com/danny-avila/LibreChat/pull/6438)
-- 🚀 feat: Refactor schema exports and update package version to 0.0.4 by **@rubentalstra** in [#6455](https://github.com/danny-avila/LibreChat/pull/6455)
-- 🔼 feat: Add Auto Submit For URL Query Params by **@mjaverto** in [#6440](https://github.com/danny-avila/LibreChat/pull/6440)
-- 🛠 feat: Enhance Redis Integration, Rate Limiters & Log Headers by **@danny-avila** in [#6462](https://github.com/danny-avila/LibreChat/pull/6462)
-- 💵 feat: Add Automatic Balance Refill by **@rubentalstra** in [#6452](https://github.com/danny-avila/LibreChat/pull/6452)
-- 🗣️ feat: add support for gpt-4o-transcribe models by **@berry-13** in [#6483](https://github.com/danny-avila/LibreChat/pull/6483)
-- 🎨 feat: UI Refresh for Enhanced UX by **@berry-13** in [#6346](https://github.com/danny-avila/LibreChat/pull/6346)
-- 🌍 feat: Add support for Hungarian language localization by **@rubentalstra** in [#6508](https://github.com/danny-avila/LibreChat/pull/6508)
-- 🚀 feat: Add Gemini 2.5 Token/Context Values, Increase Max Possible Output to 64k by **@danny-avila** in [#6563](https://github.com/danny-avila/LibreChat/pull/6563)
-- 🚀 feat: Enhance MCP Connections For Multi-User Support by **@danny-avila** in [#6610](https://github.com/danny-avila/LibreChat/pull/6610)
-- 🚀 feat: Enhance S3 URL Expiry with Refresh; fix: S3 File Deletion by **@danny-avila** in [#6647](https://github.com/danny-avila/LibreChat/pull/6647)
-- 🚀 feat: enhance UI components and refactor settings by **@berry-13** in [#6625](https://github.com/danny-avila/LibreChat/pull/6625)
-- 💬 feat: move TemporaryChat to the Header by **@berry-13** in [#6646](https://github.com/danny-avila/LibreChat/pull/6646)
-- 🚀 feat: Use Model Specs + Specific Endpoints, Limit Providers for Agents by **@danny-avila** in [#6650](https://github.com/danny-avila/LibreChat/pull/6650)
-- 🪙 feat: Sync Balance Config on Login by **@danny-avila** in [#6671](https://github.com/danny-avila/LibreChat/pull/6671)
-- 🔦 feat: MCP Support for Non-Agent Endpoints by **@danny-avila** in [#6775](https://github.com/danny-avila/LibreChat/pull/6775)
-- 🗃️ feat: Code Interpreter File Persistence between Sessions by **@danny-avila** in [#6790](https://github.com/danny-avila/LibreChat/pull/6790)
-- 🖥️ feat: Code Interpreter API for Non-Agent Endpoints by **@danny-avila** in [#6803](https://github.com/danny-avila/LibreChat/pull/6803)
-- ⚡ feat: Self-hosted Artifacts Static Bundler URL by **@danny-avila** in [#6827](https://github.com/danny-avila/LibreChat/pull/6827)
-- 🐳 feat: Add Jemalloc and UV to Docker Builds by **@danny-avila** in [#6836](https://github.com/danny-avila/LibreChat/pull/6836)
-- 🤖 feat: GPT-4.1 by **@danny-avila** in [#6880](https://github.com/danny-avila/LibreChat/pull/6880)
-- 👋 feat: remove Edge TTS by **@berry-13** in [#6885](https://github.com/danny-avila/LibreChat/pull/6885)
-- feat: nav optimization  by **@berry-13** in [#5785](https://github.com/danny-avila/LibreChat/pull/5785)
-- 🗺️ feat: Add Parameter Location Mapping for OpenAPI actions by **@peeeteeer** in [#6858](https://github.com/danny-avila/LibreChat/pull/6858)
-- 🤖 feat: Support `o4-mini` and `o3` Models by **@danny-avila** in [#6928](https://github.com/danny-avila/LibreChat/pull/6928)
-- 🎨 feat: OpenAI Image Tools (GPT-Image-1) by **@danny-avila** in [#7079](https://github.com/danny-avila/LibreChat/pull/7079)
-- 🗓️ feat: Add Special Variables for Prompts & Agents, Prompt UI Improvements by **@danny-avila** in [#7123](https://github.com/danny-avila/LibreChat/pull/7123)
-
-### 🌍 Internationalization
-
-- 🌍 i18n: Add Thai Language Support and Update Translations by **@rubentalstra** in [#6219](https://github.com/danny-avila/LibreChat/pull/6219)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6220](https://github.com/danny-avila/LibreChat/pull/6220)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6240](https://github.com/danny-avila/LibreChat/pull/6240)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6241](https://github.com/danny-avila/LibreChat/pull/6241)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6277](https://github.com/danny-avila/LibreChat/pull/6277)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6414](https://github.com/danny-avila/LibreChat/pull/6414)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6505](https://github.com/danny-avila/LibreChat/pull/6505)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6530](https://github.com/danny-avila/LibreChat/pull/6530)
-- 🌍 i18n: Add Persian Localization Support by **@rubentalstra** in [#6669](https://github.com/danny-avila/LibreChat/pull/6669)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#6667](https://github.com/danny-avila/LibreChat/pull/6667)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7126](https://github.com/danny-avila/LibreChat/pull/7126)
-- 🌍 i18n: Update translation.json with latest translations by **@github-actions[bot]** in [#7148](https://github.com/danny-avila/LibreChat/pull/7148)
-
-### 👐 Accessibility
-
-- 🎨 a11y: Update Model Spec Description Text by **@berry-13** in [#6294](https://github.com/danny-avila/LibreChat/pull/6294)
-- 🗑️ a11y: Add Accessible Name to Button for File Attachment Removal by **@kangabell** in [#6709](https://github.com/danny-avila/LibreChat/pull/6709)
-- ⌨️ a11y: enhance accessibility & visual consistency by **@berry-13** in [#6866](https://github.com/danny-avila/LibreChat/pull/6866)
-- 🙌 a11y: Searchbar/Conversations List Focus by **@danny-avila** in [#7096](https://github.com/danny-avila/LibreChat/pull/7096)
-- 👐 a11y: Improve Fork and SplitText Accessibility by **@danny-avila** in [#7147](https://github.com/danny-avila/LibreChat/pull/7147)
-
-### 🔧 Fixes
-
-- 🐛 fix: Avatar Type Definitions in Agent/Assistant Schemas by **@danny-avila** in [#6235](https://github.com/danny-avila/LibreChat/pull/6235)
-- 🔧 fix: MeiliSearch Field Error and Patch Incorrect Import by #6210 by **@rubentalstra** in [#6245](https://github.com/danny-avila/LibreChat/pull/6245)
-- 🔏 fix: Enhance Two-Factor Authentication by **@rubentalstra** in [#6247](https://github.com/danny-avila/LibreChat/pull/6247)
-- 🐛 fix: Await saveMessage in abortMiddleware to ensure proper execution by **@sh4shii** in [#6248](https://github.com/danny-avila/LibreChat/pull/6248)
-- 🔧 fix: Axios Proxy Usage And Bump `mongoose` by **@danny-avila** in [#6298](https://github.com/danny-avila/LibreChat/pull/6298)
-- 🔧 fix: comment out MCP servers to resolve service run issues by **@KunalScriptz** in [#6316](https://github.com/danny-avila/LibreChat/pull/6316)
-- 🔧 fix: Update Token Calculations and Mapping, MCP `env` Initialization by **@danny-avila** in [#6406](https://github.com/danny-avila/LibreChat/pull/6406)
-- 🐞 fix: Agent "Resend" Message Attachments + Source Icon Styling by **@danny-avila** in [#6408](https://github.com/danny-avila/LibreChat/pull/6408)
-- 🐛 fix: Prevent Crash on Duplicate Message ID by **@Odrec** in [#6392](https://github.com/danny-avila/LibreChat/pull/6392)
-- 🔐 fix: Invalid Key Length in 2FA Encryption by **@rubentalstra** in [#6432](https://github.com/danny-avila/LibreChat/pull/6432)
-- 🏗️ fix: Fix Agents Token Spend Race Conditions, Expand Test Coverage by **@danny-avila** in [#6480](https://github.com/danny-avila/LibreChat/pull/6480)
-- 🔃 fix: Draft Clearing, Claude Titles, Remove Default Vision Max Tokens by **@danny-avila** in [#6501](https://github.com/danny-avila/LibreChat/pull/6501)
-- 🔧 fix: Update username reference to use user.name in greeting display by **@rubentalstra** in [#6534](https://github.com/danny-avila/LibreChat/pull/6534)
-- 🔧 fix: S3 Download Stream with Key Extraction and Blob Storage Encoding for Vision by **@danny-avila** in [#6557](https://github.com/danny-avila/LibreChat/pull/6557)
-- 🔧 fix: Mistral type strictness for `usage` & update token values/windows by **@danny-avila** in [#6562](https://github.com/danny-avila/LibreChat/pull/6562)
-- 🔧 fix: Consolidate Text Parsing and TTS Edge Initialization by **@danny-avila** in [#6582](https://github.com/danny-avila/LibreChat/pull/6582)
-- 🔧 fix: Ensure continuation in image processing on base64 encoding from Blob Storage by **@danny-avila** in [#6619](https://github.com/danny-avila/LibreChat/pull/6619)
-- ✉️ fix: Fallback For User Name In Email Templates by **@danny-avila** in [#6620](https://github.com/danny-avila/LibreChat/pull/6620)
-- 🔧 fix: Azure Blob Integration and File Source References by **@rubentalstra** in [#6575](https://github.com/danny-avila/LibreChat/pull/6575)
-- 🐛 fix: Safeguard against undefined addedEndpoints by **@wipash** in [#6654](https://github.com/danny-avila/LibreChat/pull/6654)
-- 🤖 fix: Gemini 2.5 Vision Support by **@danny-avila** in [#6663](https://github.com/danny-avila/LibreChat/pull/6663)
-- 🔄 fix: Avatar & Error Handling Enhancements by **@danny-avila** in [#6687](https://github.com/danny-avila/LibreChat/pull/6687)
-- 🔧 fix: Chat Middleware, Zod Conversion, Auto-Save and S3 URL Refresh by **@danny-avila** in [#6720](https://github.com/danny-avila/LibreChat/pull/6720)
-- 🔧 fix: Agent Capability Checks & DocumentDB Compatibility for Agent Resource Removal by **@danny-avila** in [#6726](https://github.com/danny-avila/LibreChat/pull/6726)
-- 🔄 fix: Improve audio MIME type detection and handling by **@berry-13** in [#6707](https://github.com/danny-avila/LibreChat/pull/6707)
-- 🪺 fix: Update Role Handling due to New Schema Shape by **@danny-avila** in [#6774](https://github.com/danny-avila/LibreChat/pull/6774)
-- 🗨️ fix: Show ModelSpec Greeting by **@berry-13** in [#6770](https://github.com/danny-avila/LibreChat/pull/6770)
-- 🔧 fix: Keyv and Proxy Issues, and More Memory Optimizations by **@danny-avila** in [#6867](https://github.com/danny-avila/LibreChat/pull/6867)
-- ✨ fix: Implement dynamic text sizing for greeting and name display by **@berry-13** in [#6833](https://github.com/danny-avila/LibreChat/pull/6833)
-- 📝 fix: Mistral OCR Image Support and Azure Agent Titles by **@danny-avila** in [#6901](https://github.com/danny-avila/LibreChat/pull/6901)
-- 📢 fix: Invalid `engineTTS` and Conversation State on Navigation by **@berry-13** in [#6904](https://github.com/danny-avila/LibreChat/pull/6904)
-- 🛠️ fix: Improve Accessibility and Display of Conversation Menu by **@danny-avila** in [#6913](https://github.com/danny-avila/LibreChat/pull/6913)
-- 🔧 fix: Agent Resource Form, Convo Menu Style, Ensure Draft Clears on Submission by **@danny-avila** in [#6925](https://github.com/danny-avila/LibreChat/pull/6925)
-- 🔀 fix: MCP Improvements, Auto-Save Drafts, Artifact Markup by **@danny-avila** in [#7040](https://github.com/danny-avila/LibreChat/pull/7040)
-- 🐋 fix: Improve Deepseek Compatbility by **@danny-avila** in [#7132](https://github.com/danny-avila/LibreChat/pull/7132)
-- 🐙 fix: Add Redis Ping Interval to Prevent Connection Drops by **@peeeteeer** in [#7127](https://github.com/danny-avila/LibreChat/pull/7127)
-
-### ⚙️ Other Changes
-
-- 📦 refactor: Move DB Models to `@librechat/data-schemas` by **@rubentalstra** in [#6210](https://github.com/danny-avila/LibreChat/pull/6210)
-- 📦 chore: Patch `axios` to address CVE-2025-27152 by **@danny-avila** in [#6222](https://github.com/danny-avila/LibreChat/pull/6222)
-- ⚠️ refactor: Use Error Content Part Instead Of Throwing Error for Agents by **@danny-avila** in [#6262](https://github.com/danny-avila/LibreChat/pull/6262)
-- 🏃‍♂️ refactor: Improve Agent Run Context & Misc. Changes by **@danny-avila** in [#6448](https://github.com/danny-avila/LibreChat/pull/6448)
-- 📝 docs: librechat.example.yaml by **@ineiti** in [#6442](https://github.com/danny-avila/LibreChat/pull/6442)
-- 🏃‍♂️ refactor: More Agent Context Improvements during Run by **@danny-avila** in [#6477](https://github.com/danny-avila/LibreChat/pull/6477)
-- 🔃 refactor: Allow streaming for `o1` models by **@danny-avila** in [#6509](https://github.com/danny-avila/LibreChat/pull/6509)
-- 🔧 chore: `Vite` Plugin Upgrades & Config Optimizations by **@rubentalstra** in [#6547](https://github.com/danny-avila/LibreChat/pull/6547)
-- 🔧 refactor: Consolidate Logging, Model Selection & Actions Optimizations, Minor Fixes by **@danny-avila** in [#6553](https://github.com/danny-avila/LibreChat/pull/6553)
-- 🎨 style: Address Minor UI Refresh Issues by **@berry-13** in [#6552](https://github.com/danny-avila/LibreChat/pull/6552)
-- 🔧 refactor: Enhance Model & Endpoint Configurations with Global Indicators 🌍 by **@berry-13** in [#6578](https://github.com/danny-avila/LibreChat/pull/6578)
-- 💬 style: Chat UI, Greeting, and Message adjustments by **@berry-13** in [#6612](https://github.com/danny-avila/LibreChat/pull/6612)
-- ⚡ refactor: DocumentDB Compatibility for Balance Updates by **@danny-avila** in [#6673](https://github.com/danny-avila/LibreChat/pull/6673)
-- 🧹 chore: Update ESLint rules for React hooks by **@rubentalstra** in [#6685](https://github.com/danny-avila/LibreChat/pull/6685)
-- 🪙 chore: Update Gemini Pricing by **@RedwindA** in [#6731](https://github.com/danny-avila/LibreChat/pull/6731)
-- 🪺 refactor: Nest Permission fields for Roles by **@rubentalstra** in [#6487](https://github.com/danny-avila/LibreChat/pull/6487)
-- 📦 chore: Update `caniuse-lite` dependency to version 1.0.30001706 by **@rubentalstra** in [#6482](https://github.com/danny-avila/LibreChat/pull/6482)
-- ⚙️ refactor: OAuth Flow Signal, Type Safety, Tool Progress & Updated Packages by **@danny-avila** in [#6752](https://github.com/danny-avila/LibreChat/pull/6752)
-- 📦 chore: bump vite from 6.2.3 to 6.2.5 by **@dependabot[bot]** in [#6745](https://github.com/danny-avila/LibreChat/pull/6745)
-- 💾 chore: Enhance Local Storage Handling and Update MCP SDK by **@danny-avila** in [#6809](https://github.com/danny-avila/LibreChat/pull/6809)
-- 🤖 refactor: Improve Agents Memory Usage, Bump Keyv, Grok 3 by **@danny-avila** in [#6850](https://github.com/danny-avila/LibreChat/pull/6850)
-- 💾 refactor: Enhance Memory In Image Encodings & Client Disposal by **@danny-avila** in [#6852](https://github.com/danny-avila/LibreChat/pull/6852)
-- 🔁 refactor: Token Event Handler and Standardize `maxTokens` Key by **@danny-avila** in [#6886](https://github.com/danny-avila/LibreChat/pull/6886)
-- 🔍 refactor: Search & Message Retrieval by **@berry-13** in [#6903](https://github.com/danny-avila/LibreChat/pull/6903)
-- 🎨 style: standardize dropdown styling & fix z-Index layering by **@berry-13** in [#6939](https://github.com/danny-avila/LibreChat/pull/6939)
-- 📙 docs: CONTRIBUTING.md by **@dblock** in [#6831](https://github.com/danny-avila/LibreChat/pull/6831)
-- 🧭 refactor: Modernize Nav/Header by **@danny-avila** in [#7094](https://github.com/danny-avila/LibreChat/pull/7094)
-- 🪶 refactor: Chat Input Focus for Conversation Navigations & ChatForm Optimizations by **@danny-avila** in [#7100](https://github.com/danny-avila/LibreChat/pull/7100)
-- 🔃 refactor: Streamline Navigation, Message Loading UX by **@danny-avila** in [#7118](https://github.com/danny-avila/LibreChat/pull/7118)
-- 📜 docs: Unreleased changelog by **@github-actions[bot]** in [#6265](https://github.com/danny-avila/LibreChat/pull/6265)
-
-
-
-[See full release details][release-v0.7.8-rc1]
-
-[release-v0.7.8-rc1]: https://github.com/danny-avila/LibreChat/releases/tag/v0.7.8-rc1
-
----

CODE_OF_CONDUCT.md

@@ -60,7 +60,7 @@ representative at an online or offline event.
 
 Instances of abusive, harassing, or otherwise unacceptable behavior may be
 reported to the community leaders responsible for enforcement here on GitHub or
-on the official [Discord Server](https://discord.librechat.ai). 
+on the official [Discord Server](https://discord.gg/uDyZ5Tzhct). 
 All complaints will be reviewed and investigated promptly and fairly.
 
 All community leaders are obligated to respect the privacy and security of the
@@ -129,4 +129,4 @@ https://www.contributor-covenant.org/translations.
 
 ---
 
-## [Go Back to ReadMe](../README.md)
+## [Go Back to ReadMe](README.md)

CONTRIBUTING.md

@@ -0,0 +1,100 @@
+# Contributor Guidelines
+
+Thank you to all the contributors who have helped make this project possible! We welcome various types of contributions, such as bug reports, documentation improvements, feature requests, and code contributions.
+
+## Contributing Guidelines
+
+If the feature you would like to contribute has not already received prior approval from the project maintainers (i.e., the feature is currently on the roadmap or on the [Trello board]()), please submit a proposal in the [proposals category](https://github.com/danny-avila/LibreChat/discussions/categories/proposals) of the discussions board before beginning work on it. The proposals should include specific implementation details, including areas of the application that will be affected by the change (including designs if applicable), and any other relevant information that might be required for a speedy review. However, proposals are not required for small changes, bug fixes, or documentation improvements. Small changes and bug fixes should be tied to an [issue](https://github.com/danny-avila/LibreChat/issues) and included in the corresponding pull request for tracking purposes.
+
+Please note that a pull request involving a feature that has not been reviewed and approved by the project maintainers may be rejected. We appreciate your understanding and cooperation.
+
+If you would like to discuss the changes you wish to make, join our [Discord community](https://discord.gg/uDyZ5Tzhct), where you can engage with other contributors and seek guidance from the community.
+
+## Our Standards
+
+We strive to maintain a positive and inclusive environment within our project community. We expect all contributors to adhere to the following standards:
+
+- Using welcoming and inclusive language.
+- Being respectful of differing viewpoints and experiences.
+- Gracefully accepting constructive criticism.
+- Focusing on what is best for the community.
+- Showing empathy towards other community members.
+
+Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that do not align with these standards.
+
+## To contribute to this project, please adhere to the following guidelines:
+
+## 1. Git Workflow
+
+We utilize a GitFlow workflow to manage changes to this project's codebase. Follow these general steps when contributing code:
+
+1. Fork the repository and create a new branch with a descriptive slash-based name (e.g., `new/feature/x`).
+2. Implement your changes and ensure that all tests pass.
+3. Commit your changes using conventional commit messages with GitFlow flags. Begin the commit message with a tag indicating the change type, such as "feat" (new feature), "fix" (bug fix), "docs" (documentation), or "refactor" (code refactoring), followed by a brief summary of the changes (e.g., `feat: Add new feature X to the project`).
+4. Submit a pull request with a clear and concise description of your changes and the reasons behind them.
+5. We will review your pull request, provide feedback as needed, and eventually merge the approved changes into the main branch.
+
+## 2. Commit Message Format
+
+We have defined precise rules for formatting our Git commit messages. This format leads to an easier-to-read commit history. Each commit message consists of a header, a body, and an optional footer.
+
+### Commit Message Header
+
+The header is mandatory and must conform to the following format:
+
+```
+<type>(<scope>): <short summary>
+```
+
+- `<type>`: Must be one of the following:
+  - **build**: Changes that affect the build system or external dependencies.
+  - **ci**: Changes to our CI configuration files and script.
+  - **docs**: Documentation-only changes.
+  - **feat**: A new feature.
+  - **fix**: A bug fix.
+  - **perf**: A code change that improves performance.
+  - **refactor**: A code change that neither fixes a bug nor adds a feature.
+  - **test**: Adding missing tests or correcting existing tests.
+
+- `<scope>`: Optional. Indicates the scope of the commit, such as `common`, `plays`, `infra`, etc.
+
+- `<short summary>`: A brief, concise summary of the change in the present tense. It should not be capitalized and should not end with a period.
+
+### Commit Message Body
+
+The body is mandatory for all commits except for those of type "docs". When the body is present, it must be at least 20 characters long and should explain the motivation behind the change. You can include a comparison of the previous behavior with the new behavior to illustrate the impact of the change.
+
+### Commit Message Footer
+
+The footer is optional and can contain information about breaking changes, deprecations, and references to related GitHub issues, Jira tickets, or other pull requests. For example, you can include a "BREAKING CHANGE" section that describes a breaking change along with migration instructions. Additionally, you can include a "Closes" section to reference the issue or pull request that this commit closes or is related to.
+
+### Revert commits
+
+If the commit reverts a previous commit, it should begin with `revert: `, followed by the header of the reverted commit. The commit message body should include the SHA of the commit being reverted and a clear description of the reason for reverting the commit.
+
+## 3. Pull Request Process
+
+When submitting a pull request, please follow these guidelines:
+
+- Ensure that any installation or build dependencies are removed before the end of the layer when doing a build.
+- Update the README.md with details of changes to the interface, including new environment variables, exposed ports, useful file locations, and container parameters.
+- Increase the version numbers in any example files and the README.md to reflect the new version that the pull request represents. We use [SemVer](http://semver.org/) for versioning.
+
+Ensure that your changes meet the following criteria:
+
+- All tests pass.
+- The code is well-formatted and adheres to our coding standards.
+- The commit history is clean and easy to follow. You can use `git rebase` or `git merge --squash` to clean your commit history before submitting the pull request.
+- The pull request description clearly outlines the changes and the reasons behind them. Be sure to include the steps to test the pull request.
+
+## 4. Naming Conventions
+
+Apply the following naming conventions to branches, labels, and other Git-related entities:
+
+- Branch names: Descriptive and slash-based (e.g., `new/feature/x`).
+- Labels: Descriptive and snake_case (e.g., `bug_fix`).
+- Directories and file names: Descriptive and snake_case (e.g., `config_file.yaml`).
+
+---
+
+## [Go Back to ReadMe](README.md)

Dockerfile

@@ -1,48 +1,21 @@
-# v0.8.1-rc2
-
 # Base node image
-FROM node:20-alpine AS node
-
-# Install jemalloc
-RUN apk add --no-cache jemalloc
-RUN apk add --no-cache python3 py3-pip uv
-
-# Set environment variable to use jemalloc
-ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
-
-# Add `uv` for extended MCP support
-COPY --from=ghcr.io/astral-sh/uv:0.6.13 /uv /uvx /bin/
-RUN uv --version
-
-RUN mkdir -p /app && chown node:node /app
+FROM node:19-alpine AS node
+COPY . /app
+# Install dependencies
 WORKDIR /app
+RUN npm ci
 
-USER node
+# Frontend variables as build args
+ARG VITE_APP_TITLE
+ARG VITE_SHOW_GOOGLE_LOGIN_OPTION
 
-COPY --chown=node:node package.json package-lock.json ./
-COPY --chown=node:node api/package.json ./api/package.json
-COPY --chown=node:node client/package.json ./client/package.json
-COPY --chown=node:node packages/data-provider/package.json ./packages/data-provider/package.json
-COPY --chown=node:node packages/data-schemas/package.json ./packages/data-schemas/package.json
-COPY --chown=node:node packages/api/package.json ./packages/api/package.json
+# You will need to add your VITE variables to the docker-compose file
+ENV VITE_APP_TITLE=$VITE_APP_TITLE
+ENV VITE_SHOW_GOOGLE_LOGIN_OPTION=$VITE_SHOW_GOOGLE_LOGIN_OPTION
 
-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 /app/uploads ; \
-    npm config set fetch-retry-maxtimeout 600000 ; \
-    npm config set fetch-retries 5 ; \
-    npm config set fetch-retry-mintimeout 15000 ; \
-    npm ci --no-audit
-
-COPY --chown=node:node . .
-
-RUN \
-    # 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
 
 # Node API setup
 EXPOSE 3080

Dockerfile.multi

@@ -1,82 +0,0 @@
-# Dockerfile.multi
-# v0.8.1-rc2
-
-# Base for all builds
-FROM node:20-alpine AS base-min
-# Install jemalloc
-RUN apk add --no-cache jemalloc
-# Set environment variable to use jemalloc
-ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
-WORKDIR /app
-RUN apk --no-cache add curl
-RUN npm config set fetch-retry-maxtimeout 600000 && \
-    npm config set fetch-retries 5 && \
-    npm config set fetch-retry-mintimeout 15000
-COPY package*.json ./
-COPY packages/data-provider/package*.json ./packages/data-provider/
-COPY packages/api/package*.json ./packages/api/
-COPY packages/data-schemas/package*.json ./packages/data-schemas/
-COPY packages/client/package*.json ./packages/client/
-COPY client/package*.json ./client/
-COPY api/package*.json ./api/
-
-# Install all dependencies for every build
-FROM base-min AS base
-WORKDIR /app
-RUN npm ci
-
-# Build `data-provider` package
-FROM base AS data-provider-build
-WORKDIR /app/packages/data-provider
-COPY packages/data-provider ./
-RUN npm run build
-
-# Build `data-schemas` package
-FROM base AS data-schemas-build
-WORKDIR /app/packages/data-schemas
-COPY packages/data-schemas ./
-COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
-RUN npm run build
-
-# Build `api` package
-FROM base AS api-package-build
-WORKDIR /app/packages/api
-COPY packages/api ./
-COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
-COPY --from=data-schemas-build /app/packages/data-schemas/dist /app/packages/data-schemas/dist
-RUN npm run build
-
-# Build `client` package
-FROM base AS client-package-build
-WORKDIR /app/packages/client
-COPY packages/client ./
-RUN npm run build
-
-# Client build
-FROM base AS client-build
-WORKDIR /app/client
-COPY client ./
-COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
-COPY --from=client-package-build /app/packages/client/dist /app/packages/client/dist
-COPY --from=client-package-build /app/packages/client/src /app/packages/client/src
-ENV NODE_OPTIONS="--max-old-space-size=2048"
-RUN npm run build
-
-# API setup (including client dist)
-FROM base-min AS api-build
-# Add `uv` for extended MCP support
-COPY --from=ghcr.io/astral-sh/uv:0.6.13 /uv /uvx /bin/
-RUN uv --version
-WORKDIR /app
-# Install only production deps
-RUN npm ci --omit=dev
-COPY api ./api
-COPY config ./config
-COPY --from=data-provider-build /app/packages/data-provider/dist ./packages/data-provider/dist
-COPY --from=data-schemas-build /app/packages/data-schemas/dist ./packages/data-schemas/dist
-COPY --from=api-package-build /app/packages/api/dist ./packages/api/dist
-COPY --from=client-build /app/client/dist ./client/dist
-WORKDIR /app/api
-EXPOSE 3080
-ENV HOST=0.0.0.0
-CMD ["node", "server/index.js"]

LICENSE.md

@@ -1,6 +1,8 @@
-MIT License
+# MIT License
 
-Copyright (c) 2025 LibreChat
+Copyright (c) 2023 Danny Avila
+
+---
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
@@ -12,6 +14,8 @@ furnished to do so, subject to the following conditions:
 The above copyright notice and this permission notice shall be included in all
 copies or substantial portions of the Software.
 
+##
+
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
@@ -19,3 +23,7 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
+
+---
+
+## [Go Back to ReadMe](README.md)

README.md

@@ -1,217 +1,151 @@
 <p align="center">
-  <a href="https://librechat.ai">
-    <img src="client/public/assets/logo.svg" height="256">
-  </a>
-  <h1 align="center">
-    <a href="https://librechat.ai">LibreChat</a>
-  </h1>
-</p>
-
-<p align="center">
-  <a href="https://discord.librechat.ai"> 
-    <img
-      src="https://img.shields.io/discord/1086345563026489514?label=&logo=discord&style=for-the-badge&logoWidth=20&logoColor=white&labelColor=000000&color=blueviolet">
-  </a>
-  <a href="https://www.youtube.com/@LibreChat"> 
-    <img
-      src="https://img.shields.io/badge/YOUTUBE-red.svg?style=for-the-badge&logo=youtube&logoColor=white&labelColor=000000&logoWidth=20">
-  </a>
-  <a href="https://docs.librechat.ai"> 
-    <img
-      src="https://img.shields.io/badge/DOCS-blue.svg?style=for-the-badge&logo=read-the-docs&logoColor=white&labelColor=000000&logoWidth=20">
-  </a>
-  <a aria-label="Sponsors" href="https://github.com/sponsors/danny-avila">
-    <img
-      src="https://img.shields.io/badge/SPONSORS-brightgreen.svg?style=for-the-badge&logo=github-sponsors&logoColor=white&labelColor=000000&logoWidth=20">
+  <a href="https://discord.gg/NGaa9RPCft">
+    <picture>
+      <source media="(prefers-color-scheme: dark)" srcset="https://user-images.githubusercontent.com/110412045/228325485-9d3e618f-a980-44fe-89e9-d6d39164680e.png">
+      <img src="https://user-images.githubusercontent.com/110412045/228325485-9d3e618f-a980-44fe-89e9-d6d39164680e.png" height="128">
+    </picture>
+    <h1 align="center">LibreChat</h1>
   </a>
 </p>
 
 <p align="center">
-<a href="https://railway.app/template/b5k2mn?referralCode=HI9hWz">
-  <img src="https://railway.app/button.svg" alt="Deploy on Railway" height="30">
-</a>
-<a href="https://zeabur.com/templates/0X2ZY8">
-  <img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30"/>
-</a>
-<a href="https://template.cloud.sealos.io/deploy?templateName=librechat">
-  <img src="https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg" alt="Deploy on Sealos" height="30">
-</a>
-</p>
-
-<p align="center">
-  <a href="https://www.librechat.ai/docs/translation">
-    <img 
-      src="https://img.shields.io/badge/dynamic/json.svg?style=for-the-badge&color=2096F3&label=locize&query=%24.translatedPercentage&url=https://api.locize.app/badgedata/4cb2598b-ed4d-469c-9b04-2ed531a8cb45&suffix=%+translated" 
-      alt="Translation Progress">
+  <a href="https://discord.gg/NGaa9RPCft"> 
+    <img src="https://img.shields.io/discord/1086345563026489514?label=&logo=discord&style=for-the-badge&logoWidth=20&labelColor=000000&color=blueviolet">
+  </a>
+  <a aria-label="Sponsors" href="#sponsors">
+    <img alt="" src="https://img.shields.io/badge/SPONSORS-brightgreen.svg?style=for-the-badge&labelColor=000000&logoWidth=20">
   </a>
 </p>
 
-
-# ✨ Features
-
-- 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
-
-- 🤖 **AI Model Selection**:  
-  - Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
-  - [Custom Endpoints](https://www.librechat.ai/docs/quick_start/custom_endpoints): Use any OpenAI-compatible API with LibreChat, no proxy required
-  - Compatible with [Local & Remote AI Providers](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):
-    - Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
-    - OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
-
-- 🔧 **[Code Interpreter API](https://www.librechat.ai/docs/features/code_interpreter)**: 
-  - Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
-  - Seamless File Handling: Upload, process, and download files directly
-  - No Privacy Concerns: Fully isolated and secure execution
-
-- 🔦 **Agents & Tools Integration**:  
-  - **[LibreChat Agents](https://www.librechat.ai/docs/features/agents)**:
-    - No-Code Custom Assistants: Build specialized, AI-driven helpers
-    - Agent Marketplace: Discover and deploy community-built agents
-    - Collaborative Sharing: Share agents with specific users and groups
-    - Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
-    - Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
-    - [Model Context Protocol (MCP) Support](https://modelcontextprotocol.io/clients#librechat) for Tools
-
-- 🔍 **Web Search**:  
-  - Search the internet and retrieve relevant information to enhance your AI context
-  - Combines search providers, content scrapers, and result rerankers for optimal results
-  - **Customizable Jina Reranking**: Configure custom Jina API URLs for reranking services
-  - **[Learn More →](https://www.librechat.ai/docs/features/web_search)**
-
-- 🪄 **Generative UI with Code Artifacts**:  
-  - [Code Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) allow creation of React, HTML, and Mermaid diagrams directly in chat
-
-- 🎨 **Image Generation & Editing**
-  - Text-to-image and image-to-image with [GPT-Image-1](https://www.librechat.ai/docs/features/image_gen#1--openai-image-tools-recommended)
-  - Text-to-image with [DALL-E (3/2)](https://www.librechat.ai/docs/features/image_gen#2--dalle-legacy), [Stable Diffusion](https://www.librechat.ai/docs/features/image_gen#3--stable-diffusion-local), [Flux](https://www.librechat.ai/docs/features/image_gen#4--flux), or any [MCP server](https://www.librechat.ai/docs/features/image_gen#5--model-context-protocol-mcp)
-  - Produce stunning visuals from prompts or refine existing images with a single instruction
-
-- 💾 **Presets & Context Management**:  
-  - Create, Save, & Share Custom Presets  
-  - Switch between AI Endpoints and Presets mid-chat
-  - Edit, Resubmit, and Continue Messages with Conversation branching  
-  - Create and share prompts with specific users and groups
-  - [Fork Messages & Conversations](https://www.librechat.ai/docs/features/fork) for Advanced Context control
-
-- 💬 **Multimodal & File Interactions**:  
-  - Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸  
-  - Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
-
-- 🌎 **Multilingual UI**:
-  - English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
-  - Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
-  - Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
-  - Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
-
-- 🧠 **Reasoning UI**:  
-  - Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
-
-- 🎨 **Customizable Interface**:  
-  - Customizable Dropdown & Interface that adapts to both power users and newcomers
-
-- 🗣️ **Speech & Audio**:  
-  - Chat hands-free with Speech-to-Text and Text-to-Speech  
-  - Automatically send and play Audio  
-  - Supports OpenAI, Azure OpenAI, and Elevenlabs
-
-- 📥 **Import & Export Conversations**:  
-  - Import Conversations from LibreChat, ChatGPT, Chatbot UI  
-  - Export conversations as screenshots, markdown, text, json
-
-- 🔍 **Search & Discovery**:  
-  - Search all messages/conversations
-
-- 👥 **Multi-User & Secure Access**:
-  - Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
-  - Built-in Moderation, and Token spend tools
-
-- ⚙️ **Configuration & Deployment**:  
-  - Configure Proxy, Reverse Proxy, Docker, & many Deployment options  
-  - Use completely local or deploy on the cloud
-
-- 📖 **Open-Source & Community**:  
-  - 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/) 📚
-
-## 🪶 All-In-One AI Conversations with LibreChat
-
+## All-In-One AI Conversations with LibreChat ##
 LibreChat brings together the future of assistant AIs with the revolutionary technology of OpenAI's ChatGPT. Celebrating the original styling, LibreChat gives you the ability to integrate multiple AI models. It also integrates and enhances original client features such as conversation and message search, prompt templates and plugins.
 
 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.
+  
+<!--   ![clone3](https://user-images.githubusercontent.com/110412045/230538752-9b99dc6e-cd02-483a-bff0-6c6e780fa7ae.gif) -->
+https://github.com/danny-avila/LibreChat/assets/110412045/c1eb0c0f-41f6-4335-b982-84b278b53d59
 
-[![Watch the video](https://raw.githubusercontent.com/LibreChat-AI/librechat.ai/main/public/images/changelog/v0.7.6.gif)](https://www.youtube.com/watch?v=ilfwGQtJNlI)
+# Features
 
-Click on the thumbnail to open the video☝️
+- Response streaming identical to ChatGPT through server-sent events
+- UI from original ChatGPT, including Dark mode
+- AI model selection (through 5 endpoints: OpenAI API, BingAI, ChatGPT Browser, PaLM2, Plugins)
+- Create, Save, & Share custom presets - [More info on prompt presets here](https://github.com/danny-avila/chatgpt-clone/releases/tag/v0.3.0)
+- Edit and Resubmit messages with conversation branching
+- Search all messages/conversations - [More info here](https://github.com/danny-avila/chatgpt-clone/releases/tag/v0.1.0)
+- Plugins now available (including web access, image generation and more)
+
+---
+# ⚠️ **Breaking Changes** ⚠️
+Note: These changes only apply to users who are updating from a previous version of the app.
+
+- We have simplified the configuration process by using a single `.env` file in the root folder instead of separate `/api/.env` and `/client/.env` files.
+- If you had installed a previous version, you can run `npm run upgrade` to automatically copy the content of both files to the new `.env` file and backup the old ones in the root dir.
+- If you are installing the project for the first time, it's recommend you run the installation script `npm run install` to guide your local setup (otherwise continue to use docker)
+- The docker-compose file had some change. Review the [new docker instructions](docs\install\docker_install.md) to make sure you are setup properly. This is still the simplest and most effective method.
+- The upgrade script requires both `/api/.env` and `/client/.env` files to run properly. If you get an error about a missing client env file, just rename the `/client/.env.example` file to `/client/.env` and run the script again.
+- We have renamed the `OPENAI_KEY` variable to `OPENAI_API_KEY` to match the official documentation. The upgrade script should do this automatically for you, but please double-check that your key is correct in the new `.env` file.
+- After running the upgrade script, the `OPENAI_API_KEY` variable might be placed in a different section in the new `.env` file than before. This does not affect the functionality of the app, but if you want to keep it organized, you can look for it near the bottom of the file and move it to its usual section.
+
+##
+
+- For enhanced security, we are now asking for crypto keys for securely storing credentials in the `.env` file. Crypto keys are used to encrypt and decrypt sensitive data such as passwords and access keys. If you don't set them, the app will crash on startup.
+- You need to fill the following variables in the `.env` file with 32-byte (64 characters in hex) or 16-byte (32 characters in hex) values:
+  - `CREDS_KEY` (32-byte)
+  - `CREDS_IV` (16-byte)
+  - `JWT_SECRET` (32-byte, optional but recommended)
+- You can use this replit to generate some crypto keys quickly: https://replit.com/@daavila/crypto#index.js
+- Make sure you keep your crypto keys safe and don't share them with anyone.
+
+We apologize for any inconvenience caused by these changes. We hope you enjoy the new and improved version of our app!
 
 ---
 
-## 🌐 Resources
-
-**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:** [librechat.ai/docs](https://librechat.ai/docs)
-  - **Blog:** [librechat.ai/blog](https://librechat.ai/blog)
+## Changelog 
+- Keep up with the latest updates by visiting the releases page - [Releases](https://github.com/danny-avila/LibreChat/releases)
 
 ---
 
-## 📝 Changelog
+<h1>Table of Contents</h1>
 
-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) 
+<details open>
+  <summary><strong>Getting Started</strong></summary>
+
+  * [Docker Install](/docs/install/docker_install.md)
+  * [Linux Install](docs/install/linux_install.md)
+  * [Mac Install](docs/install/mac_install.md)
+  * [Windows Install](docs/install/windows_install.md)
+  * [APIs and Tokens](docs/install/apis_and_tokens.md)
+</details>
+
+<details>
+  <summary><strong>General Information</strong></summary>
+
+  * [Code of Conduct](CODE_OF_CONDUCT.md)
+  * [Project Origin](docs/general_info/project_origin.md)
+  * [Multilingual Information](docs/general_info/multilingual_information.md)
+  * [Tech Stack](docs/general_info/tech_stack.md)
+  * [Bing Jailbreak Info](docs/general_info/bing_jailbreak_info.md)
+</details>
+
+<details>
+  <summary><strong>Features</strong></summary>
+
+  * **Plugins**
+    * [Introduction](docs/features/plugins/introduction.md)
+    * [Google](docs/features/plugins/google_search.md)
+    * [Stable Diffusion](docs/features/plugins/stable_diffusion.md)
+    * [Wolfram](docs/features/plugins/wolfram.md)
+    * [Make Your Own Plugin](docs/features/plugins/make_your_own.md)
+
+  * [User Auth System](docs/features/user_auth_system.md)
+  * [Proxy](docs/features/proxy.md)
+</details>
+
+<details>
+  <summary><strong>Cloud Deployment</strong></summary>
+
+  * [Heroku](docs/deployment/heroku.md)
+</details>
+
+<details>
+  <summary><strong>Contributions</strong></summary>
+
+  * [Contributor Guidelines](CONTRIBUTING.md)
+  * [Documentation Guidelines](docs/contributions/documentation_guidelines.md)
+  * [Code Standards and Conventions](docs/contributions/coding_conventions.md)
+  * [Testing](docs/contributions/testing.md)
+  * [Security](SECURITY.md)
+  * [Trello Board](https://trello.com/b/17z094kq/chatgpt-clone)
+</details>
 
-**⚠️ Please consult the [changelog](https://www.librechat.ai/changelog) for breaking changes before updating.**
 
 ---
 
-## ⭐ Star History
+## Star History
 
-<p align="center">
-  <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>
+[![Star History Chart](https://api.star-history.com/svg?repos=danny-avila/chatgpt-clone&type=Date)](https://star-history.com/#danny-avila/chatgpt-clone&Date)
 
 ---
 
-## ✨ Contributions
+## Sponsors
 
-Contributions, suggestions, bug reports and fixes are welcome!
-
-For new features, components, or extensions, please open an issue and discuss before sending a PR.
-
-If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our [Translation Guide](https://www.librechat.ai/docs/translation).
+  Sponsored by <a href="https://github.com/DavidDev1334"><b>@DavidDev1334</b></a>, <a href="https://github.com/mjtechguy"><b>@mjtechguy</b></a>, <a href="https://github.com/Pharrcyde"><b>@Pharrcyde</b></a>, & <a href="https://github.com/fuegovic"><b>@fuegovic</b></a>
 
 ---
 
-## 💖 This project exists in its current state thanks to all the people who contribute
+## Contributors
+Contributions and suggestions bug reports and fixes are welcome!
+Please read the documentation before you do!
 
-<a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
+---
+
+For new features, components, or extensions, please open an issue and discuss before sending a PR. 
+
+- Join the [Discord community](https://discord.gg/uDyZ5Tzhct)
+
+This project exists in its current state thanks to all the people who contribute
+---
+<a href="https://github.com/danny-avila/chatgpt-clone/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=danny-avila/chatgpt-clone" />
 </a>
-
----
-
-## 🎉 Special Thanks
-
-We thank [Locize](https://locize.com) for their translation management tools that support multiple languages in LibreChat.
-
-<p align="center">
-  <a href="https://locize.com" target="_blank" rel="noopener noreferrer">
-    <img src="https://github.com/user-attachments/assets/d6b70894-6064-475e-bb65-92a9e23e0077" alt="Locize Logo" height="50">
-  </a>
-</p>

SECURITY.md

@@ -12,7 +12,7 @@ When reporting a security vulnerability, you have the following options to reach
 
 - **Option 2: GitHub Issues**: You can initiate first contact via GitHub Issues. However, please note that initial contact through GitHub Issues should not include any sensitive details.
 
-- **Option 3: Discord Server**: You can join our [Discord community](https://discord.librechat.ai) and initiate first contact in the `#issues` channel. However, please ensure that initial contact through Discord does not include any sensitive details.
+- **Option 3: Discord Server**: You can join our [Discord community](https://discord.gg/5rbRxn4uME) and initiate first contact in the `#issues` channel. However, please ensure that initial contact through Discord does not include any sensitive details.
 
 _After the initial contact, we will establish a private communication channel for further discussion._
 
@@ -39,11 +39,11 @@ Please note that as a security-conscious community, we may not always disclose d
 
 This security policy applies to the following GitHub repository:
 
-- Repository: [LibreChat](https://github.librechat.ai)
+- Repository: [LibreChat](https://github.com/danny-avila/LibreChat)
 
 ## Contact
 
-If you have any questions or concerns regarding the security of our project, please join our [Discord community](https://discord.librechat.ai) and report them in the appropriate channel. You can also reach out to us by [opening an issue](https://github.com/danny-avila/LibreChat/issues/new) on GitHub. Please note that the response time may vary depending on the nature and severity of the inquiry.
+If you have any questions or concerns regarding the security of our project, please join our [Discord community](https://discord.gg/NGaa9RPCft) and report them in the appropriate channel. You can also reach out to us by [opening an issue](https://github.com/danny-avila/LibreChat/issues/new) on GitHub. Please note that the response time may vary depending on the nature and severity of the inquiry.
 
 ## Acknowledgments
 
@@ -60,4 +60,4 @@ We currently do not have a bug bounty program in place. However, we welcome and
 
 ---
 
-## [Go Back to ReadMe](../README.md)
+## [Go Back to ReadMe](README.md)

api/app/clients/AnthropicClient.js

@@ -1,991 +0,0 @@
-const Anthropic = require('@anthropic-ai/sdk');
-const { logger } = require('@librechat/data-schemas');
-const { HttpsProxyAgent } = require('https-proxy-agent');
-const {
-  Constants,
-  ErrorTypes,
-  EModelEndpoint,
-  parseTextParts,
-  anthropicSettings,
-  getResponseSender,
-  validateVisionModel,
-} = require('librechat-data-provider');
-const { sleep, SplitStreamHandler: _Handler, addCacheControl } = require('@librechat/agents');
-const {
-  Tokenizer,
-  createFetch,
-  matchModelName,
-  getClaudeHeaders,
-  getModelMaxTokens,
-  configureReasoning,
-  checkPromptCacheSupport,
-  getModelMaxOutputTokens,
-  createStreamEventHandlers,
-} = require('@librechat/api');
-const {
-  truncateText,
-  formatMessage,
-  titleFunctionPrompt,
-  parseParamFromPrompt,
-  createContextHandlers,
-} = require('./prompts');
-const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
-const { encodeAndFormat } = require('~/server/services/Files/images/encode');
-const BaseClient = require('./BaseClient');
-
-const HUMAN_PROMPT = '\n\nHuman:';
-const AI_PROMPT = '\n\nAssistant:';
-
-class SplitStreamHandler extends _Handler {
-  getDeltaContent(chunk) {
-    return (chunk?.delta?.text ?? chunk?.completion) || '';
-  }
-  getReasoningDelta(chunk) {
-    return chunk?.delta?.thinking || '';
-  }
-}
-
-/** Helper function to introduce a delay before retrying */
-function delayBeforeRetry(attempts, baseDelay = 1000) {
-  return new Promise((resolve) => setTimeout(resolve, baseDelay * attempts));
-}
-
-const tokenEventTypes = new Set(['message_start', 'message_delta']);
-const { legacy } = anthropicSettings;
-
-class AnthropicClient extends BaseClient {
-  constructor(apiKey, options = {}) {
-    super(apiKey, options);
-    this.apiKey = apiKey || process.env.ANTHROPIC_API_KEY;
-    this.userLabel = HUMAN_PROMPT;
-    this.assistantLabel = AI_PROMPT;
-    this.contextStrategy = options.contextStrategy
-      ? options.contextStrategy.toLowerCase()
-      : 'discard';
-    this.setOptions(options);
-    /** @type {string | undefined} */
-    this.systemMessage;
-    /** @type {AnthropicMessageStartEvent| undefined} */
-    this.message_start;
-    /** @type {AnthropicMessageDeltaEvent| undefined} */
-    this.message_delta;
-    /** Whether the model is part of the Claude 3 Family
-     * @type {boolean} */
-    this.isClaudeLatest;
-    /** Whether to use Messages API or Completions API
-     * @type {boolean} */
-    this.useMessages;
-    /** Whether or not the model supports Prompt Caching
-     * @type {boolean} */
-    this.supportsCacheControl;
-    /** The key for the usage object's input tokens
-     * @type {string} */
-    this.inputTokensKey = 'input_tokens';
-    /** The key for the usage object's output tokens
-     * @type {string} */
-    this.outputTokensKey = 'output_tokens';
-    /** @type {SplitStreamHandler | undefined} */
-    this.streamHandler;
-  }
-
-  setOptions(options) {
-    if (this.options && !this.options.replaceOptions) {
-      // nested options aren't spread properly, so we need to do this manually
-      this.options.modelOptions = {
-        ...this.options.modelOptions,
-        ...options.modelOptions,
-      };
-      delete options.modelOptions;
-      // now we can merge options
-      this.options = {
-        ...this.options,
-        ...options,
-      };
-    } else {
-      this.options = options;
-    }
-
-    this.modelOptions = Object.assign(
-      {
-        model: anthropicSettings.model.default,
-      },
-      this.modelOptions,
-      this.options.modelOptions,
-    );
-
-    const modelMatch = matchModelName(this.modelOptions.model, EModelEndpoint.anthropic);
-    this.isClaudeLatest =
-      /claude-[3-9]/.test(modelMatch) || /claude-(?:sonnet|opus|haiku)-[4-9]/.test(modelMatch);
-    const isLegacyOutput = !(
-      /claude-3[-.]5-sonnet/.test(modelMatch) ||
-      /claude-3[-.]7/.test(modelMatch) ||
-      /claude-(?:sonnet|opus|haiku)-[4-9]/.test(modelMatch) ||
-      /claude-[4-9]/.test(modelMatch)
-    );
-    this.supportsCacheControl = this.options.promptCache && checkPromptCacheSupport(modelMatch);
-
-    if (
-      isLegacyOutput &&
-      this.modelOptions.maxOutputTokens &&
-      this.modelOptions.maxOutputTokens > legacy.maxOutputTokens.default
-    ) {
-      this.modelOptions.maxOutputTokens = legacy.maxOutputTokens.default;
-    }
-
-    this.useMessages = this.isClaudeLatest || !!this.options.attachments;
-
-    this.defaultVisionModel = this.options.visionModel ?? 'claude-3-sonnet-20240229';
-    this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
-
-    this.maxContextTokens =
-      this.options.maxContextTokens ??
-      getModelMaxTokens(this.modelOptions.model, EModelEndpoint.anthropic) ??
-      100000;
-    this.maxResponseTokens =
-      this.modelOptions.maxOutputTokens ??
-      getModelMaxOutputTokens(
-        this.modelOptions.model,
-        this.options.endpointType ?? this.options.endpoint,
-        this.options.endpointTokenConfig,
-      ) ??
-      anthropicSettings.maxOutputTokens.reset(this.modelOptions.model);
-    this.maxPromptTokens =
-      this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
-
-    const reservedTokens = this.maxPromptTokens + this.maxResponseTokens;
-    if (reservedTokens > this.maxContextTokens) {
-      const info = `Total Possible Tokens + Max Output Tokens must be less than or equal to Max Context Tokens: ${this.maxPromptTokens} (total possible output) + ${this.maxResponseTokens} (max output) = ${reservedTokens}/${this.maxContextTokens} (max context)`;
-      const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-      logger.warn(info);
-      throw new Error(errorMessage);
-    } else if (this.maxResponseTokens === this.maxContextTokens) {
-      const info = `Max Output Tokens must be less than Max Context Tokens: ${this.maxResponseTokens} (max output) = ${this.maxContextTokens} (max context)`;
-      const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-      logger.warn(info);
-      throw new Error(errorMessage);
-    }
-
-    this.sender =
-      this.options.sender ??
-      getResponseSender({
-        model: this.modelOptions.model,
-        endpoint: EModelEndpoint.anthropic,
-        modelLabel: this.options.modelLabel,
-      });
-
-    this.startToken = '||>';
-    this.endToken = '';
-
-    return this;
-  }
-
-  /**
-   * Get the initialized Anthropic client.
-   * @param {Partial<Anthropic.ClientOptions>} requestOptions - The options for the client.
-   * @returns {Anthropic} The Anthropic client instance.
-   */
-  getClient(requestOptions) {
-    /** @type {Anthropic.ClientOptions} */
-    const options = {
-      fetch: createFetch({
-        directEndpoint: this.options.directEndpoint,
-        reverseProxyUrl: this.options.reverseProxyUrl,
-      }),
-      apiKey: this.apiKey,
-      fetchOptions: {},
-    };
-
-    if (this.options.proxy) {
-      options.fetchOptions.agent = new HttpsProxyAgent(this.options.proxy);
-    }
-
-    if (this.options.reverseProxyUrl) {
-      options.baseURL = this.options.reverseProxyUrl;
-    }
-
-    const headers = getClaudeHeaders(requestOptions?.model, this.supportsCacheControl);
-    if (headers) {
-      options.defaultHeaders = headers;
-    }
-
-    return new Anthropic(options);
-  }
-
-  /**
-   * Get stream usage as returned by this client's API response.
-   * @returns {AnthropicStreamUsage} The stream usage object.
-   */
-  getStreamUsage() {
-    const inputUsage = this.message_start?.message?.usage ?? {};
-    const outputUsage = this.message_delta?.usage ?? {};
-    return Object.assign({}, inputUsage, outputUsage);
-  }
-
-  /**
-   * Calculates the correct token count for the current user message based on the token count map and API usage.
-   * Edge case: If the calculation results in a negative value, it returns the original estimate.
-   * If revisiting a conversation with a chat history entirely composed of token estimates,
-   * the cumulative token count going forward should become more accurate as the conversation progresses.
-   * @param {Object} params - The parameters for the calculation.
-   * @param {Record<string, number>} params.tokenCountMap - A map of message IDs to their token counts.
-   * @param {string} params.currentMessageId - The ID of the current message to calculate.
-   * @param {AnthropicStreamUsage} params.usage - The usage object returned by the API.
-   * @returns {number} The correct token count for the current user message.
-   */
-  calculateCurrentTokenCount({ tokenCountMap, currentMessageId, usage }) {
-    const originalEstimate = tokenCountMap[currentMessageId] || 0;
-
-    if (!usage || typeof usage.input_tokens !== 'number') {
-      return originalEstimate;
-    }
-
-    tokenCountMap[currentMessageId] = 0;
-    const totalTokensFromMap = Object.values(tokenCountMap).reduce((sum, count) => {
-      const numCount = Number(count);
-      return sum + (isNaN(numCount) ? 0 : numCount);
-    }, 0);
-    const totalInputTokens =
-      (usage.input_tokens ?? 0) +
-      (usage.cache_creation_input_tokens ?? 0) +
-      (usage.cache_read_input_tokens ?? 0);
-
-    const currentMessageTokens = totalInputTokens - totalTokensFromMap;
-    return currentMessageTokens > 0 ? currentMessageTokens : originalEstimate;
-  }
-
-  /**
-   * Get Token Count for LibreChat Message
-   * @param {TMessage} responseMessage
-   * @returns {number}
-   */
-  getTokenCountForResponse(responseMessage) {
-    return this.getTokenCountForMessage({
-      role: 'assistant',
-      content: responseMessage.text,
-    });
-  }
-
-  /**
-   *
-   * Checks if the model is a vision model based on request attachments and sets the appropriate options:
-   * - Sets `this.modelOptions.model` to `gpt-4-vision-preview` if the request is a vision request.
-   * - Sets `this.isVisionModel` to `true` if vision request.
-   * - Deletes `this.modelOptions.stop` if vision request.
-   * @param {MongoFile[]} attachments
-   */
-  checkVisionRequest(attachments) {
-    const availableModels = this.options.modelsConfig?.[EModelEndpoint.anthropic];
-    this.isVisionModel = validateVisionModel({ model: this.modelOptions.model, availableModels });
-
-    const visionModelAvailable = availableModels?.includes(this.defaultVisionModel);
-    if (
-      attachments &&
-      attachments.some((file) => file?.type && file?.type?.includes('image')) &&
-      visionModelAvailable &&
-      !this.isVisionModel
-    ) {
-      this.modelOptions.model = this.defaultVisionModel;
-      this.isVisionModel = true;
-    }
-  }
-
-  /**
-   * Calculate the token cost in tokens for an image based on its dimensions and detail level.
-   *
-   * For reference, see: https://docs.anthropic.com/claude/docs/vision#image-costs
-   *
-   * @param {Object} image - The image object.
-   * @param {number} image.width - The width of the image.
-   * @param {number} image.height - The height of the image.
-   * @returns {number} The calculated token cost measured by tokens.
-   *
-   */
-  calculateImageTokenCost({ width, height }) {
-    return Math.ceil((width * height) / 750);
-  }
-
-  async addImageURLs(message, attachments) {
-    const { files, image_urls } = await encodeAndFormat(this.options.req, attachments, {
-      endpoint: EModelEndpoint.anthropic,
-    });
-    message.image_urls = image_urls.length ? image_urls : undefined;
-    return files;
-  }
-
-  /**
-   * @param {object} params
-   * @param {number} params.promptTokens
-   * @param {number} params.completionTokens
-   * @param {AnthropicStreamUsage} [params.usage]
-   * @param {string} [params.model]
-   * @param {string} [params.context='message']
-   * @returns {Promise<void>}
-   */
-  async recordTokenUsage({ promptTokens, completionTokens, usage, model, context = 'message' }) {
-    if (usage != null && usage?.input_tokens != null) {
-      const input = usage.input_tokens ?? 0;
-      const write = usage.cache_creation_input_tokens ?? 0;
-      const read = usage.cache_read_input_tokens ?? 0;
-
-      await spendStructuredTokens(
-        {
-          context,
-          user: this.user,
-          conversationId: this.conversationId,
-          model: model ?? this.modelOptions.model,
-          endpointTokenConfig: this.options.endpointTokenConfig,
-        },
-        {
-          promptTokens: { input, write, read },
-          completionTokens,
-        },
-      );
-
-      return;
-    }
-
-    await spendTokens(
-      {
-        context,
-        user: this.user,
-        conversationId: this.conversationId,
-        model: model ?? this.modelOptions.model,
-        endpointTokenConfig: this.options.endpointTokenConfig,
-      },
-      { promptTokens, completionTokens },
-    );
-  }
-
-  async buildMessages(messages, parentMessageId) {
-    const orderedMessages = this.constructor.getMessagesForConversation({
-      messages,
-      parentMessageId,
-    });
-
-    logger.debug('[AnthropicClient] orderedMessages', { orderedMessages, parentMessageId });
-
-    if (this.options.attachments) {
-      const attachments = await this.options.attachments;
-      const images = attachments.filter((file) => file.type.includes('image'));
-
-      if (images.length && !this.isVisionModel) {
-        throw new Error('Images are only supported with the Claude 3 family of models');
-      }
-
-      const latestMessage = orderedMessages[orderedMessages.length - 1];
-
-      if (this.message_file_map) {
-        this.message_file_map[latestMessage.messageId] = attachments;
-      } else {
-        this.message_file_map = {
-          [latestMessage.messageId]: attachments,
-        };
-      }
-
-      const files = await this.addImageURLs(latestMessage, attachments);
-
-      this.options.attachments = files;
-    }
-
-    if (this.message_file_map) {
-      this.contextHandlers = createContextHandlers(
-        this.options.req,
-        orderedMessages[orderedMessages.length - 1].text,
-      );
-    }
-
-    const formattedMessages = orderedMessages.map((message, i) => {
-      const formattedMessage = this.useMessages
-        ? formatMessage({
-            message,
-            endpoint: EModelEndpoint.anthropic,
-          })
-        : {
-            author: message.isCreatedByUser ? this.userLabel : this.assistantLabel,
-            content: message?.content ?? message.text,
-          };
-
-      const needsTokenCount = this.contextStrategy && !orderedMessages[i].tokenCount;
-      /* If tokens were never counted, or, is a Vision request and the message has files, count again */
-      if (needsTokenCount || (this.isVisionModel && (message.image_urls || message.files))) {
-        orderedMessages[i].tokenCount = this.getTokenCountForMessage(formattedMessage);
-      }
-
-      /* If message has files, calculate image token cost */
-      if (this.message_file_map && this.message_file_map[message.messageId]) {
-        const attachments = this.message_file_map[message.messageId];
-        for (const file of attachments) {
-          if (file.embedded) {
-            this.contextHandlers?.processFile(file);
-            continue;
-          }
-          if (file.metadata?.fileIdentifier) {
-            continue;
-          }
-
-          orderedMessages[i].tokenCount += this.calculateImageTokenCost({
-            width: file.width,
-            height: file.height,
-          });
-        }
-      }
-
-      formattedMessage.tokenCount = orderedMessages[i].tokenCount;
-      return formattedMessage;
-    });
-
-    if (this.contextHandlers) {
-      this.augmentedPrompt = await this.contextHandlers.createContext();
-      this.options.promptPrefix = this.augmentedPrompt + (this.options.promptPrefix ?? '');
-    }
-
-    let { context: messagesInWindow, remainingContextTokens } =
-      await this.getMessagesWithinTokenLimit({ messages: formattedMessages });
-
-    const tokenCountMap = orderedMessages
-      .slice(orderedMessages.length - messagesInWindow.length)
-      .reduce((map, message, index) => {
-        const { messageId } = message;
-        if (!messageId) {
-          return map;
-        }
-
-        map[messageId] = orderedMessages[index].tokenCount;
-        return map;
-      }, {});
-
-    logger.debug('[AnthropicClient]', {
-      messagesInWindow: messagesInWindow.length,
-      remainingContextTokens,
-    });
-
-    let lastAuthor = '';
-    let groupedMessages = [];
-
-    for (let i = 0; i < messagesInWindow.length; i++) {
-      const message = messagesInWindow[i];
-      const author = message.role ?? message.author;
-      // If last author is not same as current author, add to new group
-      if (lastAuthor !== author) {
-        const newMessage = {
-          content: [message.content],
-        };
-
-        if (message.role) {
-          newMessage.role = message.role;
-        } else {
-          newMessage.author = message.author;
-        }
-
-        groupedMessages.push(newMessage);
-        lastAuthor = author;
-        // If same author, append content to the last group
-      } else {
-        groupedMessages[groupedMessages.length - 1].content.push(message.content);
-      }
-    }
-
-    groupedMessages = groupedMessages.map((msg, i) => {
-      const isLast = i === groupedMessages.length - 1;
-      if (msg.content.length === 1) {
-        const content = msg.content[0];
-        return {
-          ...msg,
-          // reason: final assistant content cannot end with trailing whitespace
-          content:
-            isLast && this.useMessages && msg.role === 'assistant' && typeof content === 'string'
-              ? content?.trim()
-              : content,
-        };
-      }
-
-      if (!this.useMessages && msg.tokenCount) {
-        delete msg.tokenCount;
-      }
-
-      return msg;
-    });
-
-    let identityPrefix = '';
-    if (this.options.userLabel) {
-      identityPrefix = `\nHuman's name: ${this.options.userLabel}`;
-    }
-
-    if (this.options.modelLabel) {
-      identityPrefix = `${identityPrefix}\nYou are ${this.options.modelLabel}`;
-    }
-
-    let promptPrefix = (this.options.promptPrefix ?? '').trim();
-    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
-      promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
-    }
-    if (promptPrefix) {
-      // If the prompt prefix doesn't end with the end token, add it.
-      if (!promptPrefix.endsWith(`${this.endToken}`)) {
-        promptPrefix = `${promptPrefix.trim()}${this.endToken}\n\n`;
-      }
-      promptPrefix = `\nContext:\n${promptPrefix}`;
-    }
-
-    if (identityPrefix) {
-      promptPrefix = `${identityPrefix}${promptPrefix}`;
-    }
-
-    // Prompt AI to respond, empty if last message was from AI
-    let isEdited = lastAuthor === this.assistantLabel;
-    const promptSuffix = isEdited ? '' : `${promptPrefix}${this.assistantLabel}\n`;
-    let currentTokenCount =
-      isEdited || this.useMessages
-        ? this.getTokenCount(promptPrefix)
-        : this.getTokenCount(promptSuffix);
-
-    let promptBody = '';
-    const maxTokenCount = this.maxPromptTokens;
-
-    const context = [];
-
-    // Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
-    // Do this within a recursive async function so that it doesn't block the event loop for too long.
-    // Also, remove the next message when the message that puts us over the token limit is created by the user.
-    // Otherwise, remove only the exceeding message. This is due to Anthropic's strict payload rule to start with "Human:".
-    const nextMessage = {
-      remove: false,
-      tokenCount: 0,
-      messageString: '',
-    };
-
-    const buildPromptBody = async () => {
-      if (currentTokenCount < maxTokenCount && groupedMessages.length > 0) {
-        const message = groupedMessages.pop();
-        const isCreatedByUser = message.author === this.userLabel;
-        // Use promptPrefix if message is edited assistant'
-        const messagePrefix =
-          isCreatedByUser || !isEdited ? message.author : `${promptPrefix}${message.author}`;
-        const messageString = `${messagePrefix}\n${message.content}${this.endToken}\n`;
-        let newPromptBody = `${messageString}${promptBody}`;
-
-        context.unshift(message);
-
-        const tokenCountForMessage = this.getTokenCount(messageString);
-        const newTokenCount = currentTokenCount + tokenCountForMessage;
-
-        if (!isCreatedByUser) {
-          nextMessage.messageString = messageString;
-          nextMessage.tokenCount = tokenCountForMessage;
-        }
-
-        if (newTokenCount > maxTokenCount) {
-          if (!promptBody) {
-            // This is the first message, so we can't add it. Just throw an error.
-            throw new Error(
-              `Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
-            );
-          }
-
-          // Otherwise, ths message would put us over the token limit, so don't add it.
-          // if created by user, remove next message, otherwise remove only this message
-          if (isCreatedByUser) {
-            nextMessage.remove = true;
-          }
-
-          return false;
-        }
-        promptBody = newPromptBody;
-        currentTokenCount = newTokenCount;
-
-        // Switch off isEdited after using it for the first time
-        if (isEdited) {
-          isEdited = false;
-        }
-
-        // wait for next tick to avoid blocking the event loop
-        await new Promise((resolve) => setImmediate(resolve));
-        return buildPromptBody();
-      }
-      return true;
-    };
-
-    const messagesPayload = [];
-    const buildMessagesPayload = async () => {
-      let canContinue = true;
-
-      if (promptPrefix) {
-        this.systemMessage = promptPrefix;
-      }
-
-      while (currentTokenCount < maxTokenCount && groupedMessages.length > 0 && canContinue) {
-        const message = groupedMessages.pop();
-
-        let tokenCountForMessage = message.tokenCount ?? this.getTokenCountForMessage(message);
-
-        const newTokenCount = currentTokenCount + tokenCountForMessage;
-        const exceededMaxCount = newTokenCount > maxTokenCount;
-
-        if (exceededMaxCount && messagesPayload.length === 0) {
-          throw new Error(
-            `Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
-          );
-        } else if (exceededMaxCount) {
-          canContinue = false;
-          break;
-        }
-
-        delete message.tokenCount;
-        messagesPayload.unshift(message);
-        currentTokenCount = newTokenCount;
-
-        // Switch off isEdited after using it once
-        if (isEdited && message.role === 'assistant') {
-          isEdited = false;
-        }
-
-        // Wait for next tick to avoid blocking the event loop
-        await new Promise((resolve) => setImmediate(resolve));
-      }
-    };
-
-    const processTokens = () => {
-      // Add 2 tokens for metadata after all messages have been counted.
-      currentTokenCount += 2;
-
-      // Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
-      this.modelOptions.maxOutputTokens = Math.min(
-        this.maxContextTokens - currentTokenCount,
-        this.maxResponseTokens,
-      );
-    };
-
-    if (
-      /claude-[3-9]/.test(this.modelOptions.model) ||
-      /claude-(?:sonnet|opus|haiku)-[4-9]/.test(this.modelOptions.model)
-    ) {
-      await buildMessagesPayload();
-      processTokens();
-      return {
-        prompt: messagesPayload,
-        context: messagesInWindow,
-        promptTokens: currentTokenCount,
-        tokenCountMap,
-      };
-    } else {
-      await buildPromptBody();
-      processTokens();
-    }
-
-    if (nextMessage.remove) {
-      promptBody = promptBody.replace(nextMessage.messageString, '');
-      currentTokenCount -= nextMessage.tokenCount;
-      context.shift();
-    }
-
-    let prompt = `${promptBody}${promptSuffix}`;
-
-    return { prompt, context, promptTokens: currentTokenCount, tokenCountMap };
-  }
-
-  getCompletion() {
-    logger.debug("AnthropicClient doesn't use getCompletion (all handled in sendCompletion)");
-  }
-
-  /**
-   * Creates a message or completion response using the Anthropic client.
-   * @param {Anthropic} client - The Anthropic client instance.
-   * @param {Anthropic.default.MessageCreateParams | Anthropic.default.CompletionCreateParams} options - The options for the message or completion.
-   * @param {boolean} useMessages - Whether to use messages or completions. Defaults to `this.useMessages`.
-   * @returns {Promise<Anthropic.default.Message | Anthropic.default.Completion>} The response from the Anthropic client.
-   */
-  async createResponse(client, options, useMessages) {
-    return (useMessages ?? this.useMessages)
-      ? await client.messages.create(options)
-      : await client.completions.create(options);
-  }
-
-  getMessageMapMethod() {
-    /**
-     * @param {TMessage} msg
-     */
-    return (msg) => {
-      if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
-        msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
-      } else if (msg.content != null) {
-        msg.text = parseTextParts(msg.content, true);
-        delete msg.content;
-      }
-
-      return msg;
-    };
-  }
-
-  /**
-   * @param {string[]} [intermediateReply]
-   * @returns {string}
-   */
-  getStreamText(intermediateReply) {
-    if (!this.streamHandler) {
-      return intermediateReply?.join('') ?? '';
-    }
-
-    const reasoningText = this.streamHandler.reasoningTokens.join('');
-
-    const reasoningBlock = reasoningText.length > 0 ? `:::thinking\n${reasoningText}\n:::\n` : '';
-
-    return `${reasoningBlock}${this.streamHandler.tokens.join('')}`;
-  }
-
-  async sendCompletion(payload, { onProgress, abortController }) {
-    if (!abortController) {
-      abortController = new AbortController();
-    }
-
-    const { signal } = abortController;
-
-    const modelOptions = { ...this.modelOptions };
-    if (typeof onProgress === 'function') {
-      modelOptions.stream = true;
-    }
-
-    logger.debug('modelOptions', { modelOptions });
-    const metadata = {
-      user_id: this.user,
-    };
-
-    const {
-      stream,
-      model,
-      temperature,
-      maxOutputTokens,
-      stop: stop_sequences,
-      topP: top_p,
-      topK: top_k,
-    } = this.modelOptions;
-
-    let requestOptions = {
-      model,
-      stream: stream || true,
-      stop_sequences,
-      temperature,
-      metadata,
-    };
-
-    if (this.useMessages) {
-      requestOptions.messages = payload;
-      requestOptions.max_tokens =
-        maxOutputTokens || anthropicSettings.maxOutputTokens.reset(requestOptions.model);
-    } else {
-      requestOptions.prompt = payload;
-      requestOptions.max_tokens_to_sample = maxOutputTokens || legacy.maxOutputTokens.default;
-    }
-
-    requestOptions = configureReasoning(requestOptions, {
-      thinking: this.options.thinking,
-      thinkingBudget: this.options.thinkingBudget,
-    });
-
-    if (!/claude-3[-.]7/.test(model)) {
-      requestOptions.top_p = top_p;
-      requestOptions.top_k = top_k;
-    } else if (requestOptions.thinking == null) {
-      requestOptions.topP = top_p;
-      requestOptions.topK = top_k;
-    }
-
-    if (this.systemMessage && this.supportsCacheControl === true) {
-      requestOptions.system = [
-        {
-          type: 'text',
-          text: this.systemMessage,
-          cache_control: { type: 'ephemeral' },
-        },
-      ];
-    } else if (this.systemMessage) {
-      requestOptions.system = this.systemMessage;
-    }
-
-    if (this.supportsCacheControl === true && this.useMessages) {
-      requestOptions.messages = addCacheControl(requestOptions.messages);
-    }
-
-    logger.debug('[AnthropicClient]', { ...requestOptions });
-    const handlers = createStreamEventHandlers(this.options.res);
-    this.streamHandler = new SplitStreamHandler({
-      accumulate: true,
-      runId: this.responseMessageId,
-      handlers,
-    });
-
-    let intermediateReply = this.streamHandler.tokens;
-
-    const maxRetries = 3;
-    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
-    async function processResponse() {
-      let attempts = 0;
-
-      while (attempts < maxRetries) {
-        let response;
-        try {
-          const client = this.getClient(requestOptions);
-          response = await this.createResponse(client, requestOptions);
-
-          signal.addEventListener('abort', () => {
-            logger.debug('[AnthropicClient] message aborted!');
-            if (response.controller?.abort) {
-              response.controller.abort();
-            }
-          });
-
-          for await (const completion of response) {
-            const type = completion?.type ?? '';
-            if (tokenEventTypes.has(type)) {
-              logger.debug(`[AnthropicClient] ${type}`, completion);
-              this[type] = completion;
-            }
-            this.streamHandler.handle(completion);
-            await sleep(streamRate);
-          }
-
-          break;
-        } catch (error) {
-          attempts += 1;
-          logger.warn(
-            `User: ${this.user} | Anthropic Request ${attempts} failed: ${error.message}`,
-          );
-
-          if (attempts < maxRetries) {
-            await delayBeforeRetry(attempts, 350);
-          } else if (this.streamHandler && this.streamHandler.reasoningTokens.length) {
-            return this.getStreamText();
-          } else if (intermediateReply.length > 0) {
-            return this.getStreamText(intermediateReply);
-          } else {
-            throw new Error(`Operation failed after ${maxRetries} attempts: ${error.message}`);
-          }
-        } finally {
-          signal.removeEventListener('abort', () => {
-            logger.debug('[AnthropicClient] message aborted!');
-            if (response.controller?.abort) {
-              response.controller.abort();
-            }
-          });
-        }
-      }
-    }
-
-    await processResponse.bind(this)();
-    return this.getStreamText(intermediateReply);
-  }
-
-  getSaveOptions() {
-    return {
-      maxContextTokens: this.options.maxContextTokens,
-      artifacts: this.options.artifacts,
-      promptPrefix: this.options.promptPrefix,
-      modelLabel: this.options.modelLabel,
-      promptCache: this.options.promptCache,
-      thinking: this.options.thinking,
-      thinkingBudget: this.options.thinkingBudget,
-      resendFiles: this.options.resendFiles,
-      iconURL: this.options.iconURL,
-      greeting: this.options.greeting,
-      spec: this.options.spec,
-      ...this.modelOptions,
-    };
-  }
-
-  getBuildMessagesOptions() {
-    logger.debug("AnthropicClient doesn't use getBuildMessagesOptions");
-  }
-
-  getEncoding() {
-    return 'cl100k_base';
-  }
-
-  /**
-   * Returns the token count of a given text. It also checks and resets the tokenizers if necessary.
-   * @param {string} text - The text to get the token count for.
-   * @returns {number} The token count of the given text.
-   */
-  getTokenCount(text) {
-    const encoding = this.getEncoding();
-    return Tokenizer.getTokenCount(text, encoding);
-  }
-
-  /**
-   * Generates a concise title for a conversation based on the user's input text and response.
-   * Involves sending a chat completion request with specific instructions for title generation.
-   *
-   * This function capitlizes on [Anthropic's function calling training](https://docs.anthropic.com/claude/docs/functions-external-tools).
-   *
-   * @param {Object} params - The parameters for the conversation title generation.
-   * @param {string} params.text - The user's input.
-   * @param {string} [params.responseText=''] - The AI's immediate response to the user.
-   *
-   * @returns {Promise<string | 'New Chat'>} A promise that resolves to the generated conversation title.
-   *                            In case of failure, it will return the default title, "New Chat".
-   */
-  async titleConvo({ text, responseText = '' }) {
-    let title = 'New Chat';
-    this.message_delta = undefined;
-    this.message_start = undefined;
-    const convo = `<initial_message>
-  ${truncateText(text)}
-  </initial_message>
-  <response>
-  ${JSON.stringify(truncateText(responseText))}
-  </response>`;
-
-    const { ANTHROPIC_TITLE_MODEL } = process.env ?? {};
-    const model = this.options.titleModel ?? ANTHROPIC_TITLE_MODEL ?? 'claude-3-haiku-20240307';
-    const system = titleFunctionPrompt;
-
-    const titleChatCompletion = async () => {
-      const content = `<conversation_context>
-  ${convo}
-  </conversation_context>
-  
-  Please generate a title for this conversation.`;
-
-      const titleMessage = { role: 'user', content };
-      const requestOptions = {
-        model,
-        temperature: 0.3,
-        max_tokens: 1024,
-        system,
-        stop_sequences: ['\n\nHuman:', '\n\nAssistant', '</function_calls>'],
-        messages: [titleMessage],
-      };
-
-      try {
-        const response = await this.createResponse(
-          this.getClient(requestOptions),
-          requestOptions,
-          true,
-        );
-        let promptTokens = response?.usage?.input_tokens;
-        let completionTokens = response?.usage?.output_tokens;
-        if (!promptTokens) {
-          promptTokens = this.getTokenCountForMessage(titleMessage);
-          promptTokens += this.getTokenCountForMessage({ role: 'system', content: system });
-        }
-        if (!completionTokens) {
-          completionTokens = this.getTokenCountForMessage(response.content[0]);
-        }
-        await this.recordTokenUsage({
-          model,
-          promptTokens,
-          completionTokens,
-          context: 'title',
-        });
-        const text = response.content[0].text;
-        title = parseParamFromPrompt(text, 'title');
-      } catch (e) {
-        logger.error('[AnthropicClient] There was an issue generating the title', e);
-      }
-    };
-
-    await titleChatCompletion();
-    logger.debug('[AnthropicClient] Convo Title: ' + title);
-    return title;
-  }
-}
-
-module.exports = AnthropicClient;

api/app/clients/GoogleClient.js

@@ -1,994 +0,0 @@
-const { google } = require('googleapis');
-const { sleep } = require('@librechat/agents');
-const { logger } = require('@librechat/data-schemas');
-const { getModelMaxTokens } = require('@librechat/api');
-const { concat } = require('@langchain/core/utils/stream');
-const { ChatVertexAI } = require('@langchain/google-vertexai');
-const { Tokenizer, getSafetySettings } = require('@librechat/api');
-const { ChatGoogleGenerativeAI } = require('@langchain/google-genai');
-const { GoogleGenerativeAI: GenAI } = require('@google/generative-ai');
-const { HumanMessage, SystemMessage } = require('@langchain/core/messages');
-const {
-  googleGenConfigSchema,
-  validateVisionModel,
-  getResponseSender,
-  endpointSettings,
-  parseTextParts,
-  EModelEndpoint,
-  googleSettings,
-  ContentTypes,
-  VisionModes,
-  ErrorTypes,
-  Constants,
-  AuthKeys,
-} = require('librechat-data-provider');
-const { encodeAndFormat } = require('~/server/services/Files/images');
-const { spendTokens } = require('~/models/spendTokens');
-const {
-  formatMessage,
-  createContextHandlers,
-  titleInstruction,
-  truncateText,
-} = require('./prompts');
-const BaseClient = require('./BaseClient');
-
-const loc = process.env.GOOGLE_LOC || 'us-central1';
-const publisher = 'google';
-const endpointPrefix =
-  loc === 'global' ? 'aiplatform.googleapis.com' : `${loc}-aiplatform.googleapis.com`;
-
-const settings = endpointSettings[EModelEndpoint.google];
-const EXCLUDED_GENAI_MODELS = /gemini-(?:1\.0|1-0|pro)/;
-
-class GoogleClient extends BaseClient {
-  constructor(credentials, options = {}) {
-    super('apiKey', options);
-    let creds = {};
-
-    if (typeof credentials === 'string') {
-      creds = JSON.parse(credentials);
-    } else if (credentials) {
-      creds = credentials;
-    }
-
-    const serviceKey = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
-    this.serviceKey =
-      serviceKey && typeof serviceKey === 'string' ? JSON.parse(serviceKey) : (serviceKey ?? {});
-    /** @type {string | null | undefined} */
-    this.project_id = this.serviceKey.project_id;
-    this.client_email = this.serviceKey.client_email;
-    this.private_key = this.serviceKey.private_key;
-    this.access_token = null;
-
-    this.apiKey = creds[AuthKeys.GOOGLE_API_KEY];
-
-    this.reverseProxyUrl = options.reverseProxyUrl;
-
-    this.authHeader = options.authHeader;
-
-    /** @type {UsageMetadata | undefined} */
-    this.usage;
-    /** The key for the usage object's input tokens
-     * @type {string} */
-    this.inputTokensKey = 'input_tokens';
-    /** The key for the usage object's output tokens
-     * @type {string} */
-    this.outputTokensKey = 'output_tokens';
-    this.visionMode = VisionModes.generative;
-    /** @type {string} */
-    this.systemMessage;
-    if (options.skipSetOptions) {
-      return;
-    }
-    this.setOptions(options);
-  }
-
-  /* Google specific methods */
-  constructUrl() {
-    return `https://${endpointPrefix}/v1/projects/${this.project_id}/locations/${loc}/publishers/${publisher}/models/${this.modelOptions.model}:serverStreamingPredict`;
-  }
-
-  async getClient() {
-    const scopes = ['https://www.googleapis.com/auth/cloud-platform'];
-    const jwtClient = new google.auth.JWT(this.client_email, null, this.private_key, scopes);
-
-    jwtClient.authorize((err) => {
-      if (err) {
-        logger.error('jwtClient failed to authorize', err);
-        throw err;
-      }
-    });
-
-    return jwtClient;
-  }
-
-  async getAccessToken() {
-    const scopes = ['https://www.googleapis.com/auth/cloud-platform'];
-    const jwtClient = new google.auth.JWT(this.client_email, null, this.private_key, scopes);
-
-    return new Promise((resolve, reject) => {
-      jwtClient.authorize((err, tokens) => {
-        if (err) {
-          logger.error('jwtClient failed to authorize', err);
-          reject(err);
-        } else {
-          resolve(tokens.access_token);
-        }
-      });
-    });
-  }
-
-  /* Required Client methods */
-  setOptions(options) {
-    if (this.options && !this.options.replaceOptions) {
-      // nested options aren't spread properly, so we need to do this manually
-      this.options.modelOptions = {
-        ...this.options.modelOptions,
-        ...options.modelOptions,
-      };
-      delete options.modelOptions;
-      // now we can merge options
-      this.options = {
-        ...this.options,
-        ...options,
-      };
-    } else {
-      this.options = options;
-    }
-
-    this.modelOptions = this.options.modelOptions || {};
-
-    this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
-
-    /** @type {boolean} Whether using a "GenerativeAI" Model */
-    this.isGenerativeModel = /gemini|learnlm|gemma/.test(this.modelOptions.model);
-
-    this.maxContextTokens =
-      this.options.maxContextTokens ??
-      getModelMaxTokens(this.modelOptions.model, EModelEndpoint.google);
-
-    // The max prompt tokens is determined by the max context tokens minus the max response tokens.
-    // Earlier messages will be dropped until the prompt is within the limit.
-    this.maxResponseTokens = this.modelOptions.maxOutputTokens || settings.maxOutputTokens.default;
-
-    if (this.maxContextTokens > 32000) {
-      this.maxContextTokens = this.maxContextTokens - this.maxResponseTokens;
-    }
-
-    this.maxPromptTokens =
-      this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
-
-    if (this.maxPromptTokens + this.maxResponseTokens > this.maxContextTokens) {
-      throw new Error(
-        `maxPromptTokens + maxOutputTokens (${this.maxPromptTokens} + ${this.maxResponseTokens} = ${
-          this.maxPromptTokens + this.maxResponseTokens
-        }) must be less than or equal to maxContextTokens (${this.maxContextTokens})`,
-      );
-    }
-
-    // Add thinking configuration
-    this.modelOptions.thinkingConfig = {
-      thinkingBudget:
-        (this.modelOptions.thinking ?? googleSettings.thinking.default)
-          ? this.modelOptions.thinkingBudget
-          : 0,
-    };
-    delete this.modelOptions.thinking;
-    delete this.modelOptions.thinkingBudget;
-
-    this.sender =
-      this.options.sender ??
-      getResponseSender({
-        model: this.modelOptions.model,
-        endpoint: EModelEndpoint.google,
-        modelLabel: this.options.modelLabel,
-      });
-
-    this.userLabel = this.options.userLabel || 'User';
-    this.modelLabel = this.options.modelLabel || 'Assistant';
-
-    if (this.options.reverseProxyUrl) {
-      this.completionsUrl = this.options.reverseProxyUrl;
-    } else {
-      this.completionsUrl = this.constructUrl();
-    }
-
-    let promptPrefix = (this.options.promptPrefix ?? '').trim();
-    if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
-      promptPrefix = `${promptPrefix ?? ''}\n${this.options.artifactsPrompt}`.trim();
-    }
-    this.systemMessage = promptPrefix;
-    this.initializeClient();
-    return this;
-  }
-
-  /**
-   *
-   * Checks if the model is a vision model based on request attachments and sets the appropriate options:
-   * @param {MongoFile[]} attachments
-   */
-  checkVisionRequest(attachments) {
-    /* Validation vision request */
-    this.defaultVisionModel =
-      this.options.visionModel ??
-      (!EXCLUDED_GENAI_MODELS.test(this.modelOptions.model)
-        ? this.modelOptions.model
-        : 'gemini-pro-vision');
-    const availableModels = this.options.modelsConfig?.[EModelEndpoint.google];
-    this.isVisionModel = validateVisionModel({ model: this.modelOptions.model, availableModels });
-
-    if (
-      attachments &&
-      attachments.some((file) => file?.type && file?.type?.includes('image')) &&
-      availableModels?.includes(this.defaultVisionModel) &&
-      !this.isVisionModel
-    ) {
-      this.modelOptions.model = this.defaultVisionModel;
-      this.isVisionModel = true;
-    }
-
-    if (this.isVisionModel && !attachments && this.modelOptions.model.includes('gemini-pro')) {
-      this.modelOptions.model = 'gemini-pro';
-      this.isVisionModel = false;
-    }
-  }
-
-  formatMessages() {
-    return ((message) => {
-      const msg = {
-        author: message?.author ?? (message.isCreatedByUser ? this.userLabel : this.modelLabel),
-        content: message?.content ?? message.text,
-      };
-
-      if (!message.image_urls?.length) {
-        return msg;
-      }
-
-      msg.content = (
-        !Array.isArray(msg.content)
-          ? [
-              {
-                type: ContentTypes.TEXT,
-                [ContentTypes.TEXT]: msg.content,
-              },
-            ]
-          : msg.content
-      ).concat(message.image_urls);
-
-      return msg;
-    }).bind(this);
-  }
-
-  /**
-   * Formats messages for generative AI
-   * @param {TMessage[]} messages
-   * @returns
-   */
-  async formatGenerativeMessages(messages) {
-    const formattedMessages = [];
-    const attachments = await this.options.attachments;
-    const latestMessage = { ...messages[messages.length - 1] };
-    const files = await this.addImageURLs(latestMessage, attachments, VisionModes.generative);
-    this.options.attachments = files;
-    messages[messages.length - 1] = latestMessage;
-
-    for (const _message of messages) {
-      const role = _message.isCreatedByUser ? this.userLabel : this.modelLabel;
-      const parts = [];
-      parts.push({ text: _message.text });
-      if (!_message.image_urls?.length) {
-        formattedMessages.push({ role, parts });
-        continue;
-      }
-
-      for (const images of _message.image_urls) {
-        if (images.inlineData) {
-          parts.push({ inlineData: images.inlineData });
-        }
-      }
-
-      formattedMessages.push({ role, parts });
-    }
-
-    return formattedMessages;
-  }
-
-  /**
-   *
-   * Adds image URLs to the message object and returns the files
-   *
-   * @param {TMessage[]} messages
-   * @param {MongoFile[]} files
-   * @returns {Promise<MongoFile[]>}
-   */
-  async addImageURLs(message, attachments, mode = '') {
-    const { files, image_urls } = await encodeAndFormat(
-      this.options.req,
-      attachments,
-      {
-        endpoint: EModelEndpoint.google,
-      },
-      mode,
-    );
-    message.image_urls = image_urls.length ? image_urls : undefined;
-    return files;
-  }
-
-  /**
-   * Builds the augmented prompt for attachments
-   * TODO: Add File API Support
-   * @param {TMessage[]} messages
-   */
-  async buildAugmentedPrompt(messages = []) {
-    const attachments = await this.options.attachments;
-    const latestMessage = { ...messages[messages.length - 1] };
-    this.contextHandlers = createContextHandlers(this.options.req, latestMessage.text);
-
-    if (this.contextHandlers) {
-      for (const file of attachments) {
-        if (file.embedded) {
-          this.contextHandlers?.processFile(file);
-          continue;
-        }
-        if (file.metadata?.fileIdentifier) {
-          continue;
-        }
-      }
-
-      this.augmentedPrompt = await this.contextHandlers.createContext();
-      this.systemMessage = this.augmentedPrompt + this.systemMessage;
-    }
-  }
-
-  async buildVisionMessages(messages = [], parentMessageId) {
-    const attachments = await this.options.attachments;
-    const latestMessage = { ...messages[messages.length - 1] };
-    await this.buildAugmentedPrompt(messages);
-
-    const { prompt } = await this.buildMessagesPrompt(messages, parentMessageId);
-
-    const files = await this.addImageURLs(latestMessage, attachments);
-
-    this.options.attachments = files;
-
-    latestMessage.text = prompt;
-
-    const payload = {
-      instances: [
-        {
-          messages: [new HumanMessage(formatMessage({ message: latestMessage }))],
-        },
-      ],
-    };
-    return { prompt: payload };
-  }
-
-  /** @param {TMessage[]} [messages=[]]  */
-  async buildGenerativeMessages(messages = []) {
-    this.userLabel = 'user';
-    this.modelLabel = 'model';
-    const promises = [];
-    promises.push(await this.formatGenerativeMessages(messages));
-    promises.push(this.buildAugmentedPrompt(messages));
-    const [formattedMessages] = await Promise.all(promises);
-    return { prompt: formattedMessages };
-  }
-
-  /**
-   * @param {TMessage[]} [messages=[]]
-   * @param {string} [parentMessageId]
-   */
-  async buildMessages(_messages = [], parentMessageId) {
-    if (!this.isGenerativeModel && !this.project_id) {
-      throw new Error('[GoogleClient] PaLM 2 and Codey models are no longer supported.');
-    }
-
-    if (this.systemMessage) {
-      const instructionsTokenCount = this.getTokenCount(this.systemMessage);
-
-      this.maxContextTokens = this.maxContextTokens - instructionsTokenCount;
-      if (this.maxContextTokens < 0) {
-        const info = `${instructionsTokenCount} / ${this.maxContextTokens}`;
-        const errorMessage = `{ "type": "${ErrorTypes.INPUT_LENGTH}", "info": "${info}" }`;
-        logger.warn(`Instructions token count exceeds max context (${info}).`);
-        throw new Error(errorMessage);
-      }
-    }
-
-    for (let i = 0; i < _messages.length; i++) {
-      const message = _messages[i];
-      if (!message.tokenCount) {
-        _messages[i].tokenCount = this.getTokenCountForMessage({
-          role: message.isCreatedByUser ? 'user' : 'assistant',
-          content: message.content ?? message.text,
-        });
-      }
-    }
-
-    const {
-      payload: messages,
-      tokenCountMap,
-      promptTokens,
-    } = await this.handleContextStrategy({
-      orderedMessages: _messages,
-      formattedMessages: _messages,
-    });
-
-    if (!this.project_id && !EXCLUDED_GENAI_MODELS.test(this.modelOptions.model)) {
-      const result = await this.buildGenerativeMessages(messages);
-      result.tokenCountMap = tokenCountMap;
-      result.promptTokens = promptTokens;
-      return result;
-    }
-
-    if (this.options.attachments && this.isGenerativeModel) {
-      const result = this.buildVisionMessages(messages, parentMessageId);
-      result.tokenCountMap = tokenCountMap;
-      result.promptTokens = promptTokens;
-      return result;
-    }
-
-    let payload = {
-      instances: [
-        {
-          messages: messages
-            .map(this.formatMessages())
-            .map((msg) => ({ ...msg, role: msg.author === 'User' ? 'user' : 'assistant' }))
-            .map((message) => formatMessage({ message, langChain: true })),
-        },
-      ],
-    };
-
-    if (this.systemMessage) {
-      payload.instances[0].context = this.systemMessage;
-    }
-
-    logger.debug('[GoogleClient] buildMessages', payload);
-    return { prompt: payload, tokenCountMap, promptTokens };
-  }
-
-  async buildMessagesPrompt(messages, parentMessageId) {
-    const orderedMessages = this.constructor.getMessagesForConversation({
-      messages,
-      parentMessageId,
-    });
-
-    logger.debug('[GoogleClient]', {
-      orderedMessages,
-      parentMessageId,
-    });
-
-    const formattedMessages = orderedMessages.map(this.formatMessages());
-
-    let lastAuthor = '';
-    let groupedMessages = [];
-
-    for (let message of formattedMessages) {
-      // If last author is not same as current author, add to new group
-      if (lastAuthor !== message.author) {
-        groupedMessages.push({
-          author: message.author,
-          content: [message.content],
-        });
-        lastAuthor = message.author;
-        // If same author, append content to the last group
-      } else {
-        groupedMessages[groupedMessages.length - 1].content.push(message.content);
-      }
-    }
-
-    let identityPrefix = '';
-    if (this.options.userLabel) {
-      identityPrefix = `\nHuman's name: ${this.options.userLabel}`;
-    }
-
-    if (this.options.modelLabel) {
-      identityPrefix = `${identityPrefix}\nYou are ${this.options.modelLabel}`;
-    }
-
-    let promptPrefix = (this.systemMessage ?? '').trim();
-
-    if (identityPrefix) {
-      promptPrefix = `${identityPrefix}${promptPrefix}`;
-    }
-
-    // Prompt AI to respond, empty if last message was from AI
-    let isEdited = lastAuthor === this.modelLabel;
-    const promptSuffix = isEdited ? '' : `${promptPrefix}\n\n${this.modelLabel}:\n`;
-    let currentTokenCount = isEdited
-      ? this.getTokenCount(promptPrefix)
-      : this.getTokenCount(promptSuffix);
-
-    let promptBody = '';
-    const maxTokenCount = this.maxPromptTokens;
-
-    const context = [];
-
-    // Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
-    // Do this within a recursive async function so that it doesn't block the event loop for too long.
-    // Also, remove the next message when the message that puts us over the token limit is created by the user.
-    // Otherwise, remove only the exceeding message. This is due to Anthropic's strict payload rule to start with "Human:".
-    const nextMessage = {
-      remove: false,
-      tokenCount: 0,
-      messageString: '',
-    };
-
-    const buildPromptBody = async () => {
-      if (currentTokenCount < maxTokenCount && groupedMessages.length > 0) {
-        const message = groupedMessages.pop();
-        const isCreatedByUser = message.author === this.userLabel;
-        // Use promptPrefix if message is edited assistant'
-        const messagePrefix =
-          isCreatedByUser || !isEdited
-            ? `\n\n${message.author}:`
-            : `${promptPrefix}\n\n${message.author}:`;
-        const messageString = `${messagePrefix}\n${message.content}\n`;
-        let newPromptBody = `${messageString}${promptBody}`;
-
-        context.unshift(message);
-
-        const tokenCountForMessage = this.getTokenCount(messageString);
-        const newTokenCount = currentTokenCount + tokenCountForMessage;
-
-        if (!isCreatedByUser) {
-          nextMessage.messageString = messageString;
-          nextMessage.tokenCount = tokenCountForMessage;
-        }
-
-        if (newTokenCount > maxTokenCount) {
-          if (!promptBody) {
-            // This is the first message, so we can't add it. Just throw an error.
-            throw new Error(
-              `Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
-            );
-          }
-
-          // Otherwise, ths message would put us over the token limit, so don't add it.
-          // if created by user, remove next message, otherwise remove only this message
-          if (isCreatedByUser) {
-            nextMessage.remove = true;
-          }
-
-          return false;
-        }
-        promptBody = newPromptBody;
-        currentTokenCount = newTokenCount;
-
-        // Switch off isEdited after using it for the first time
-        if (isEdited) {
-          isEdited = false;
-        }
-
-        // wait for next tick to avoid blocking the event loop
-        await new Promise((resolve) => setImmediate(resolve));
-        return buildPromptBody();
-      }
-      return true;
-    };
-
-    await buildPromptBody();
-
-    if (nextMessage.remove) {
-      promptBody = promptBody.replace(nextMessage.messageString, '');
-      currentTokenCount -= nextMessage.tokenCount;
-      context.shift();
-    }
-
-    let prompt = `${promptBody}${promptSuffix}`.trim();
-
-    // Add 2 tokens for metadata after all messages have been counted.
-    currentTokenCount += 2;
-
-    // Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
-    this.modelOptions.maxOutputTokens = Math.min(
-      this.maxContextTokens - currentTokenCount,
-      this.maxResponseTokens,
-    );
-
-    return { prompt, context };
-  }
-
-  createLLM(clientOptions) {
-    const model = clientOptions.modelName ?? clientOptions.model;
-    clientOptions.location = loc;
-    clientOptions.endpoint = endpointPrefix;
-
-    let requestOptions = null;
-    if (this.reverseProxyUrl) {
-      requestOptions = {
-        baseUrl: this.reverseProxyUrl,
-      };
-
-      if (this.authHeader) {
-        requestOptions.customHeaders = {
-          Authorization: `Bearer ${this.apiKey}`,
-        };
-      }
-    }
-
-    if (this.project_id != null) {
-      logger.debug('Creating VertexAI client');
-      this.visionMode = undefined;
-      clientOptions.streaming = true;
-      const client = new ChatVertexAI(clientOptions);
-      client.temperature = clientOptions.temperature;
-      client.topP = clientOptions.topP;
-      client.topK = clientOptions.topK;
-      client.topLogprobs = clientOptions.topLogprobs;
-      client.frequencyPenalty = clientOptions.frequencyPenalty;
-      client.presencePenalty = clientOptions.presencePenalty;
-      client.maxOutputTokens = clientOptions.maxOutputTokens;
-      return client;
-    } else if (!EXCLUDED_GENAI_MODELS.test(model)) {
-      logger.debug('Creating GenAI client');
-      return new GenAI(this.apiKey).getGenerativeModel({ model }, requestOptions);
-    }
-
-    logger.debug('Creating Chat Google Generative AI client');
-    return new ChatGoogleGenerativeAI({ ...clientOptions, apiKey: this.apiKey });
-  }
-
-  initializeClient() {
-    let clientOptions = { ...this.modelOptions };
-
-    if (this.project_id) {
-      clientOptions['authOptions'] = {
-        credentials: {
-          ...this.serviceKey,
-        },
-        projectId: this.project_id,
-      };
-    }
-
-    if (this.isGenerativeModel && !this.project_id) {
-      clientOptions.modelName = clientOptions.model;
-      delete clientOptions.model;
-    }
-
-    this.client = this.createLLM(clientOptions);
-    return this.client;
-  }
-
-  async getCompletion(_payload, options = {}) {
-    const { onProgress, abortController } = options;
-    const safetySettings = getSafetySettings(this.modelOptions.model);
-    const streamRate = this.options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
-    const modelName = this.modelOptions.modelName ?? this.modelOptions.model ?? '';
-
-    let reply = '';
-    /** @type {Error} */
-    let error;
-    try {
-      if (!EXCLUDED_GENAI_MODELS.test(modelName) && !this.project_id) {
-        /** @type {GenerativeModel} */
-        const client = this.client;
-        /** @type {GenerateContentRequest} */
-        const requestOptions = {
-          safetySettings,
-          contents: _payload,
-          generationConfig: googleGenConfigSchema.parse(this.modelOptions),
-        };
-
-        const promptPrefix = (this.systemMessage ?? '').trim();
-        if (promptPrefix.length) {
-          requestOptions.systemInstruction = {
-            parts: [
-              {
-                text: promptPrefix,
-              },
-            ],
-          };
-        }
-
-        const delay = modelName.includes('flash') ? 8 : 15;
-        /** @type {GenAIUsageMetadata} */
-        let usageMetadata;
-
-        abortController.signal.addEventListener(
-          'abort',
-          () => {
-            logger.warn('[GoogleClient] Request was aborted', abortController.signal.reason);
-          },
-          { once: true },
-        );
-
-        const result = await client.generateContentStream(requestOptions, {
-          signal: abortController.signal,
-        });
-        for await (const chunk of result.stream) {
-          usageMetadata = !usageMetadata
-            ? chunk?.usageMetadata
-            : Object.assign(usageMetadata, chunk?.usageMetadata);
-          const chunkText = chunk.text();
-          await this.generateTextStream(chunkText, onProgress, {
-            delay,
-          });
-          reply += chunkText;
-          await sleep(streamRate);
-        }
-
-        if (usageMetadata) {
-          this.usage = {
-            input_tokens: usageMetadata.promptTokenCount,
-            output_tokens: usageMetadata.candidatesTokenCount,
-          };
-        }
-
-        return reply;
-      }
-
-      const { instances } = _payload;
-      const { messages: messages, context } = instances?.[0] ?? {};
-
-      if (!this.isVisionModel && context && messages?.length > 0) {
-        messages.unshift(new SystemMessage(context));
-      }
-
-      /** @type {import('@langchain/core/messages').AIMessageChunk['usage_metadata']} */
-      let usageMetadata;
-      /** @type {ChatVertexAI} */
-      const client = this.client;
-      const stream = await client.stream(messages, {
-        signal: abortController.signal,
-        streamUsage: true,
-        safetySettings,
-      });
-
-      let delay = this.options.streamRate || 8;
-
-      if (!this.options.streamRate) {
-        if (this.isGenerativeModel) {
-          delay = 15;
-        }
-        if (modelName.includes('flash')) {
-          delay = 5;
-        }
-      }
-
-      for await (const chunk of stream) {
-        if (chunk?.usage_metadata) {
-          const metadata = chunk.usage_metadata;
-          for (const key in metadata) {
-            if (Number.isNaN(metadata[key])) {
-              delete metadata[key];
-            }
-          }
-
-          usageMetadata = !usageMetadata ? metadata : concat(usageMetadata, metadata);
-        }
-
-        const chunkText = chunk?.content ?? '';
-        await this.generateTextStream(chunkText, onProgress, {
-          delay,
-        });
-        reply += chunkText;
-      }
-
-      if (usageMetadata) {
-        this.usage = usageMetadata;
-      }
-    } catch (e) {
-      error = e;
-      logger.error('[GoogleClient] There was an issue generating the completion', e);
-    }
-
-    if (error != null && reply === '') {
-      const errorMessage = `{ "type": "${ErrorTypes.GoogleError}", "info": "${
-        error.message ?? 'The Google provider failed to generate content, please contact the Admin.'
-      }" }`;
-      throw new Error(errorMessage);
-    }
-    return reply;
-  }
-
-  /**
-   * Get stream usage as returned by this client's API response.
-   * @returns {UsageMetadata} The stream usage object.
-   */
-  getStreamUsage() {
-    return this.usage;
-  }
-
-  getMessageMapMethod() {
-    /**
-     * @param {TMessage} msg
-     */
-    return (msg) => {
-      if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
-        msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
-      } else if (msg.content != null) {
-        msg.text = parseTextParts(msg.content, true);
-        delete msg.content;
-      }
-
-      return msg;
-    };
-  }
-
-  /**
-   * Calculates the correct token count for the current user message based on the token count map and API usage.
-   * Edge case: If the calculation results in a negative value, it returns the original estimate.
-   * If revisiting a conversation with a chat history entirely composed of token estimates,
-   * the cumulative token count going forward should become more accurate as the conversation progresses.
-   * @param {Object} params - The parameters for the calculation.
-   * @param {Record<string, number>} params.tokenCountMap - A map of message IDs to their token counts.
-   * @param {string} params.currentMessageId - The ID of the current message to calculate.
-   * @param {UsageMetadata} params.usage - The usage object returned by the API.
-   * @returns {number} The correct token count for the current user message.
-   */
-  calculateCurrentTokenCount({ tokenCountMap, currentMessageId, usage }) {
-    const originalEstimate = tokenCountMap[currentMessageId] || 0;
-
-    if (!usage || typeof usage.input_tokens !== 'number') {
-      return originalEstimate;
-    }
-
-    tokenCountMap[currentMessageId] = 0;
-    const totalTokensFromMap = Object.values(tokenCountMap).reduce((sum, count) => {
-      const numCount = Number(count);
-      return sum + (isNaN(numCount) ? 0 : numCount);
-    }, 0);
-    const totalInputTokens = usage.input_tokens ?? 0;
-    const currentMessageTokens = totalInputTokens - totalTokensFromMap;
-    return currentMessageTokens > 0 ? currentMessageTokens : originalEstimate;
-  }
-
-  /**
-   * @param {object} params
-   * @param {number} params.promptTokens
-   * @param {number} params.completionTokens
-   * @param {UsageMetadata} [params.usage]
-   * @param {string} [params.model]
-   * @param {string} [params.context='message']
-   * @returns {Promise<void>}
-   */
-  async recordTokenUsage({ promptTokens, completionTokens, model, context = 'message' }) {
-    await spendTokens(
-      {
-        context,
-        user: this.user ?? this.options.req?.user?.id,
-        conversationId: this.conversationId,
-        model: model ?? this.modelOptions.model,
-        endpointTokenConfig: this.options.endpointTokenConfig,
-      },
-      { promptTokens, completionTokens },
-    );
-  }
-
-  /**
-   * Stripped-down logic for generating a title. This uses the non-streaming APIs, since the user does not see titles streaming
-   */
-  async titleChatCompletion(_payload, options = {}) {
-    let reply = '';
-    const { abortController } = options;
-
-    const model =
-      this.options.titleModel ?? this.modelOptions.modelName ?? this.modelOptions.model ?? '';
-    const safetySettings = getSafetySettings(model);
-    if (!EXCLUDED_GENAI_MODELS.test(model) && !this.project_id) {
-      logger.debug('Identified titling model as GenAI version');
-      /** @type {GenerativeModel} */
-      const client = this.client;
-      const requestOptions = {
-        contents: _payload,
-        safetySettings,
-        generationConfig: {
-          temperature: 0.5,
-        },
-      };
-
-      const result = await client.generateContent(requestOptions);
-      reply = result.response?.text();
-      return reply;
-    } else {
-      const { instances } = _payload;
-      const { messages } = instances?.[0] ?? {};
-      const titleResponse = await this.client.invoke(messages, {
-        signal: abortController.signal,
-        timeout: 7000,
-        safetySettings,
-      });
-
-      if (titleResponse.usage_metadata) {
-        await this.recordTokenUsage({
-          model,
-          promptTokens: titleResponse.usage_metadata.input_tokens,
-          completionTokens: titleResponse.usage_metadata.output_tokens,
-          context: 'title',
-        });
-      }
-
-      reply = titleResponse.content;
-      return reply;
-    }
-  }
-
-  async titleConvo({ text, responseText = '' }) {
-    let title = 'New Chat';
-    const convo = `||>User:
-"${truncateText(text)}"
-||>Response:
-"${JSON.stringify(truncateText(responseText))}"`;
-
-    let { prompt: payload } = await this.buildMessages([
-      {
-        text: `Please generate ${titleInstruction}
-
-    ${convo}
-    
-    ||>Title:`,
-        isCreatedByUser: true,
-        author: this.userLabel,
-      },
-    ]);
-
-    try {
-      this.initializeClient();
-      title = await this.titleChatCompletion(payload, {
-        abortController: new AbortController(),
-        onProgress: () => {},
-      });
-    } catch (e) {
-      logger.error('[GoogleClient] There was an issue generating the title', e);
-    }
-    logger.debug(`Title response: ${title}`);
-    return title;
-  }
-
-  getSaveOptions() {
-    return {
-      endpointType: null,
-      artifacts: this.options.artifacts,
-      promptPrefix: this.options.promptPrefix,
-      maxContextTokens: this.options.maxContextTokens,
-      modelLabel: this.options.modelLabel,
-      iconURL: this.options.iconURL,
-      greeting: this.options.greeting,
-      spec: this.options.spec,
-      ...this.modelOptions,
-    };
-  }
-
-  getBuildMessagesOptions() {
-    // logger.debug('GoogleClient doesn\'t use getBuildMessagesOptions');
-  }
-
-  async sendCompletion(payload, opts = {}) {
-    let reply = '';
-    reply = await this.getCompletion(payload, opts);
-    return reply.trim();
-  }
-
-  getEncoding() {
-    return 'cl100k_base';
-  }
-
-  async getVertexTokenCount(text) {
-    /** @type {ChatVertexAI} */
-    const client = this.client ?? this.initializeClient();
-    const connection = client.connection;
-    const gAuthClient = connection.client;
-    const tokenEndpoint = `https://${connection._endpoint}/${connection.apiVersion}/projects/${this.project_id}/locations/${connection._location}/publishers/google/models/${connection.model}/:countTokens`;
-    const result = await gAuthClient.request({
-      url: tokenEndpoint,
-      method: 'POST',
-      data: {
-        contents: [{ role: 'user', parts: [{ text }] }],
-      },
-    });
-    return result;
-  }
-
-  /**
-   * Returns the token count of a given text. It also checks and resets the tokenizers if necessary.
-   * @param {string} text - The text to get the token count for.
-   * @returns {number} The token count of the given text.
-   */
-  getTokenCount(text) {
-    const encoding = this.getEncoding();
-    return Tokenizer.getTokenCount(text, encoding);
-  }
-}
-
-module.exports = GoogleClient;

api/app/clients/OllamaClient.js

@@ -1,168 +0,0 @@
-const { z } = require('zod');
-const axios = require('axios');
-const { Ollama } = require('ollama');
-const { sleep } = require('@librechat/agents');
-const { resolveHeaders } = require('@librechat/api');
-const { logger } = require('@librechat/data-schemas');
-const { Constants } = require('librechat-data-provider');
-const { deriveBaseURL } = require('~/utils');
-
-const ollamaPayloadSchema = z.object({
-  mirostat: z.number().optional(),
-  mirostat_eta: z.number().optional(),
-  mirostat_tau: z.number().optional(),
-  num_ctx: z.number().optional(),
-  repeat_last_n: z.number().optional(),
-  repeat_penalty: z.number().optional(),
-  temperature: z.number().optional(),
-  seed: z.number().nullable().optional(),
-  stop: z.array(z.string()).optional(),
-  tfs_z: z.number().optional(),
-  num_predict: z.number().optional(),
-  top_k: z.number().optional(),
-  top_p: z.number().optional(),
-  stream: z.optional(z.boolean()),
-  model: z.string(),
-});
-
-/**
- * @param {string} imageUrl
- * @returns {string}
- * @throws {Error}
- */
-const getValidBase64 = (imageUrl) => {
-  const parts = imageUrl.split(';base64,');
-
-  if (parts.length === 2) {
-    return parts[1];
-  } else {
-    logger.error('Invalid or no Base64 string found in URL.');
-  }
-};
-
-class OllamaClient {
-  constructor(options = {}) {
-    const host = deriveBaseURL(options.baseURL ?? 'http://localhost:11434');
-    this.streamRate = options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
-    this.headers = options.headers ?? {};
-    /** @type {Ollama} */
-    this.client = new Ollama({ host });
-  }
-
-  /**
-   * Fetches Ollama models from the specified base API path.
-   * @param {string} baseURL
-   * @param {Object} [options] - Optional configuration
-   * @param {Partial<IUser>} [options.user] - User object for header resolution
-   * @param {Record<string, string>} [options.headers] - Headers to include in the request
-   * @returns {Promise<string[]>} The Ollama models.
-   * @throws {Error} Throws if the Ollama API request fails
-   */
-  static async fetchModels(baseURL, options = {}) {
-    if (!baseURL) {
-      return [];
-    }
-
-    const ollamaEndpoint = deriveBaseURL(baseURL);
-
-    const resolvedHeaders = resolveHeaders({
-      headers: options.headers,
-      user: options.user,
-    });
-
-    /** @type {Promise<AxiosResponse<OllamaListResponse>>} */
-    const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
-      headers: resolvedHeaders,
-      timeout: 5000,
-    });
-
-    const models = response.data.models.map((tag) => tag.name);
-    return models;
-  }
-
-  /**
-   * @param {ChatCompletionMessage[]} messages
-   * @returns {OllamaMessage[]}
-   */
-  static formatOpenAIMessages(messages) {
-    const ollamaMessages = [];
-
-    for (const message of messages) {
-      if (typeof message.content === 'string') {
-        ollamaMessages.push({
-          role: message.role,
-          content: message.content,
-        });
-        continue;
-      }
-
-      let aggregatedText = '';
-      let imageUrls = [];
-
-      for (const content of message.content) {
-        if (content.type === 'text') {
-          aggregatedText += content.text + ' ';
-        } else if (content.type === 'image_url') {
-          imageUrls.push(getValidBase64(content.image_url.url));
-        }
-      }
-
-      const ollamaMessage = {
-        role: message.role,
-        content: aggregatedText.trim(),
-      };
-
-      if (imageUrls.length > 0) {
-        ollamaMessage.images = imageUrls;
-      }
-
-      ollamaMessages.push(ollamaMessage);
-    }
-
-    return ollamaMessages;
-  }
-
-  /***
-   * @param {Object} params
-   * @param {ChatCompletionPayload} params.payload
-   * @param {onTokenProgress} params.onProgress
-   * @param {AbortController} params.abortController
-   */
-  async chatCompletion({ payload, onProgress, abortController = null }) {
-    let intermediateReply = '';
-
-    const parameters = ollamaPayloadSchema.parse(payload);
-    const messages = OllamaClient.formatOpenAIMessages(payload.messages);
-
-    if (parameters.stream) {
-      const stream = await this.client.chat({
-        messages,
-        ...parameters,
-      });
-
-      for await (const chunk of stream) {
-        const token = chunk.message.content;
-        intermediateReply += token;
-        onProgress(token);
-        if (abortController.signal.aborted) {
-          stream.controller.abort();
-          break;
-        }
-
-        await sleep(this.streamRate);
-      }
-    }
-    // TODO: regular completion
-    else {
-      // const generation = await this.client.generate(payload);
-    }
-
-    return intermediateReply;
-  }
-  catch(err) {
-    logger.error('[OllamaClient.chatCompletion]', err);
-    throw err;
-  }
-}
-
-module.exports = { OllamaClient, ollamaPayloadSchema };

api/app/clients/bingai.js

@@ -0,0 +1,80 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const askBing = async ({
+  text,
+  parentMessageId,
+  conversationId,
+  jailbreak,
+  jailbreakConversationId,
+  context,
+  systemMessage,
+  conversationSignature,
+  clientId,
+  invocationId,
+  toneStyle,
+  token,
+  onProgress
+}) => {
+  const { BingAIClient } = await import('@waylaidwanderer/chatgpt-api');
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  const bingAIClient = new BingAIClient({
+    // "_U" cookie from bing.com
+    // userToken:
+    //   process.env.BINGAI_TOKEN == 'user_provided' ? token : process.env.BINGAI_TOKEN ?? null,
+    // If the above doesn't work, provide all your cookies as a string instead
+    cookies: process.env.BINGAI_TOKEN == 'user_provided' ? token : process.env.BINGAI_TOKEN ?? null,
+    debug: false,
+    cache: store,
+    host: process.env.BINGAI_HOST || null,
+    proxy: process.env.PROXY || null
+  });
+
+  let options = {};
+
+  if (jailbreakConversationId == 'false') {
+    jailbreakConversationId = false;
+  }
+
+  if (jailbreak)
+    options = {
+      jailbreakConversationId: jailbreakConversationId || jailbreak,
+      context,
+      systemMessage,
+      parentMessageId,
+      toneStyle,
+      onProgress
+    };
+  else {
+    options = {
+      conversationId,
+      context,
+      systemMessage,
+      parentMessageId,
+      toneStyle,
+      onProgress
+    };
+
+    // don't give those parameters for new conversation
+    // for new conversation, conversationSignature always is null
+    if (conversationSignature) {
+      options.conversationSignature = conversationSignature;
+      options.clientId = clientId;
+      options.invocationId = invocationId;
+    }
+  }
+
+  console.log('bing options', options);
+
+  const res = await bingAIClient.sendMessage(text, options);
+
+  return res;
+
+  // for reference:
+  // https://github.com/waylaidwanderer/node-chatgpt-api/blob/main/demos/use-bing-client.js
+};
+
+module.exports = { askBing };

api/app/clients/chatgpt-browser.js

@@ -0,0 +1,50 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const browserClient = async ({
+  text,
+  parentMessageId,
+  conversationId,
+  model,
+  token,
+  onProgress,
+  onEventMessage,
+  abortController,
+  userId
+}) => {
+  const { ChatGPTBrowserClient } = await import('@waylaidwanderer/chatgpt-api');
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  const clientOptions = {
+    // Warning: This will expose your access token to a third party. Consider the risks before using this.
+    reverseProxyUrl:
+      process.env.CHATGPT_REVERSE_PROXY || 'https://ai.fakeopen.com/api/conversation',
+    // Access token from https://chat.openai.com/api/auth/session
+    accessToken:
+      process.env.CHATGPT_TOKEN == 'user_provided' ? token : process.env.CHATGPT_TOKEN ?? null,
+    model: model,
+    debug: false,
+    proxy: process.env.PROXY || null,
+    user: userId
+  };
+
+  const client = new ChatGPTBrowserClient(clientOptions, store);
+  let options = { onProgress, onEventMessage, abortController };
+
+  if (!!parentMessageId && !!conversationId) {
+    options = { ...options, parentMessageId, conversationId };
+  }
+
+  console.log('gptBrowser clientOptions', clientOptions);
+
+  if (parentMessageId === '00000000-0000-0000-0000-000000000000') {
+    delete options.conversationId;
+  }
+
+  const res = await client.sendMessage(text, options);
+  return res;
+};
+
+module.exports = { browserClient };

api/app/clients/chatgpt-client.js

@@ -0,0 +1,94 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+const { genAzureChatCompletion } = require('../../utils/genAzureEndpoints');
+const tiktoken = require('@dqbd/tiktoken');
+const tiktokenModels = require('../../utils/tiktokenModels');
+const encoding_for_model = tiktoken.encoding_for_model;
+
+const askClient = async ({
+  text,
+  parentMessageId,
+  conversationId,
+  model,
+  oaiApiKey,
+  chatGptLabel,
+  promptPrefix,
+  temperature,
+  top_p,
+  presence_penalty,
+  frequency_penalty,
+  onProgress,
+  abortController,
+  userId
+}) => {
+  const { ChatGPTClient } = await import('@waylaidwanderer/chatgpt-api');
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  const azure = process.env.AZURE_OPENAI_API_KEY ? true : false;
+  let promptText = 'You are ChatGPT, a large language model trained by OpenAI.';
+  if (promptPrefix) {
+    promptText = promptPrefix;
+  }
+  const maxContextTokens = model === 'gpt-4-32k' ? 32767 : model.startsWith('gpt-4') ? 8191 : 4095; // 1 less than maximum
+  const clientOptions = {
+    reverseProxyUrl: process.env.OPENAI_REVERSE_PROXY || null,
+    azure,
+    maxContextTokens,
+    modelOptions: {
+      model,
+      temperature,
+      top_p,
+      presence_penalty,
+      frequency_penalty
+    },
+    chatGptLabel,
+    promptPrefix,
+    proxy: process.env.PROXY || null
+    // debug: true
+  };
+
+  let apiKey = oaiApiKey ? oaiApiKey : process.env.OPENAI_API_KEY || null;
+
+  if (azure) {
+    apiKey = oaiApiKey ? oaiApiKey : process.env.AZURE_OPENAI_API_KEY || null;
+    clientOptions.reverseProxyUrl = genAzureChatCompletion({
+      azureOpenAIApiInstanceName: process.env.AZURE_OPENAI_API_INSTANCE_NAME,
+      azureOpenAIApiDeploymentName: process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME,
+      azureOpenAIApiVersion: process.env.AZURE_OPENAI_API_VERSION
+    });
+  }
+
+  const client = new ChatGPTClient(apiKey, clientOptions, store);
+
+  const options = {
+    onProgress,
+    abortController,
+    ...(parentMessageId && conversationId ? { parentMessageId, conversationId } : {})
+  };
+
+  let usage = {};
+  let enc = null;
+  try {
+    enc = encoding_for_model(tiktokenModels.has(model) ? model : 'gpt-3.5-turbo');
+    usage.prompt_tokens = (enc.encode(promptText)).length + (enc.encode(text)).length;
+  } catch (e) {
+    console.log('Error encoding prompt text', e);
+  }
+  
+  const res = await client.sendMessage(text, { ...options, userId });
+
+  try {
+    usage.completion_tokens = (enc.encode(res.response)).length;
+    enc.free();
+    usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+    res.usage = usage;
+  } catch (e) {
+    console.log('Error encoding response text', e);
+  }
+  
+  return res;
+};
+
+module.exports = { askClient };

api/app/clients/chatgpt-client.tokens.js

@@ -1,25 +1,7 @@
-/*
-  This is a test script to see how much memory is used by the client when encoding.
-  On my work machine, it was able to process 10,000 encoding requests / 48.686 seconds = approximately 205.4 RPS
-  I've significantly reduced the amount of encoding needed by saving token counts in the database, so these
-  numbers should only be hit with a large amount of concurrent users
-  It would take 103 concurrent users sending 1 message every 1 second to hit these numbers, which is rather unrealistic,
-  and at that point, out-sourcing the encoding to a separate server would be a better solution
-  Also, for scaling, could increase the rate at which the encoder resets; the trade-off is more resource usage on the server.
-  Initial memory usage: 25.93 megabytes
-  Peak memory usage: 55 megabytes
-  Final memory usage: 28.03 megabytes
-  Post-test (timeout of 15s): 21.91 megabytes
-*/
-
 require('dotenv').config();
-const { OpenAIClient } = require('../');
-
-function timeout(ms) {
-  return new Promise((resolve) => setTimeout(resolve, ms));
-}
 
 const run = async () => {
+  const { ChatGPTClient } = await import('@waylaidwanderer/chatgpt-api');
   const text = `
   The standard Lorem Ipsum passage, used since the 1500s
   
@@ -38,12 +20,7 @@ const run = async () => {
   "On the other hand, we denounce with righteous indignation and dislike men who are so beguiled and demoralized by the charms of pleasure of the moment, so blinded by desire, that they cannot foresee the pain and trouble that are bound to ensue; and equal blame belongs to those who fail in their duty through weakness of will, which is the same as saying through shrinking from toil and pain. These cases are perfectly simple and easy to distinguish. In a free hour, when our power of choice is untrammelled and when nothing prevents our being able to do what we like best, every pleasure is to be welcomed and every pain avoided. But in certain circumstances and owing to the claims of duty or the obligations of business it will frequently occur that pleasures have to be repudiated and annoyances accepted. The wise man therefore always holds in these matters to this principle of selection: he rejects pleasures to secure other greater pleasures, or else he endures pains to avoid worse pains."
   `;
   const model = 'gpt-3.5-turbo';
-  let maxContextTokens = 4095;
-  if (model === 'gpt-4') {
-    maxContextTokens = 8191;
-  } else if (model === 'gpt-4-32k') {
-    maxContextTokens = 32767;
-  }
+  const maxContextTokens = model === 'gpt-4' ? 8191 : model === 'gpt-4-32k' ? 32767 : 4095; // 1 less than maximum
   const clientOptions = {
     reverseProxyUrl: process.env.OPENAI_REVERSE_PROXY || null,
     maxContextTokens,
@@ -51,7 +28,7 @@ const run = async () => {
       model,
     },
     proxy: process.env.PROXY || null,
-    debug: true,
+    debug: true
   };
 
   let apiKey = process.env.OPENAI_API_KEY;
@@ -60,39 +37,34 @@ const run = async () => {
 
   // Calculate initial percentage of memory used
   const initialMemoryUsage = process.memoryUsage().heapUsed;
+  
 
   function printProgressBar(percentageUsed) {
     const filledBlocks = Math.round(percentageUsed / 2); // Each block represents 2%
     const emptyBlocks = 50 - filledBlocks; // Total blocks is 50 (each represents 2%), so the rest are empty
-    const progressBar =
-      '[' +
-      '█'.repeat(filledBlocks) +
-      ' '.repeat(emptyBlocks) +
-      '] ' +
-      percentageUsed.toFixed(2) +
-      '%';
+    const progressBar = '[' + '█'.repeat(filledBlocks) + ' '.repeat(emptyBlocks) + '] ' + percentageUsed.toFixed(2) + '%';
     console.log(progressBar);
   }
 
-  const iterations = 10000;
+  const iterations = 16000;
   console.time('loopTime');
   // Trying to catch the error doesn't help; all future calls will immediately crash
   for (let i = 0; i < iterations; i++) {
     try {
       console.log(`Iteration ${i}`);
-      const client = new OpenAIClient(apiKey, clientOptions);
+      const client = new ChatGPTClient(apiKey, clientOptions);
 
       client.getTokenCount(text);
       // const encoder = client.constructor.getTokenizer('cl100k_base');
       // console.log(`Iteration ${i}: call encode()...`);
       // encoder.encode(text, 'all');
       // encoder.free();
-
+      
       const memoryUsageDuringLoop = process.memoryUsage().heapUsed;
-      const percentageUsed = (memoryUsageDuringLoop / maxMemory) * 100;
+      const percentageUsed = memoryUsageDuringLoop / maxMemory * 100;
       printProgressBar(percentageUsed);
 
-      if (i === iterations - 1) {
+      if (i === (iterations - 1)) {
         console.log(' done');
         // encoder.free();
       }
@@ -108,23 +80,10 @@ const run = async () => {
   // const finalPercentageUsed = finalMemoryUsage / maxMemory * 100;
   console.log(`Initial memory usage: ${initialMemoryUsage / 1024 / 1024} megabytes`);
   console.log(`Final memory usage: ${finalMemoryUsage / 1024 / 1024} megabytes`);
-  await timeout(15000);
-  const memoryUsageAfterTimeout = process.memoryUsage().heapUsed;
-  console.log(`Post timeout: ${memoryUsageAfterTimeout / 1024 / 1024} megabytes`);
-};
+  setTimeout(() => {
+    const memoryUsageAfterTimeout = process.memoryUsage().heapUsed;
+    console.log(`Post timeout: ${memoryUsageAfterTimeout / 1024 / 1024} megabytes`);
+  } , 10000);
+}
 
-run();
-
-process.on('uncaughtException', (err) => {
-  if (!err.message.includes('fetch failed')) {
-    console.error('There was an uncaught error:');
-    console.error(err);
-  }
-
-  if (err.message.includes('fetch failed')) {
-    console.log('fetch failed error caught');
-    // process.exit(0);
-  } else {
-    process.exit(1);
-  }
-});
+run();  

api/app/clients/document/index.js

@@ -1,5 +0,0 @@
-const tokenSplit = require('./tokenSplit');
-
-module.exports = {
-  tokenSplit,
-};

api/app/clients/document/tokenSplit.js

@@ -1,51 +0,0 @@
-const { TokenTextSplitter } = require('@langchain/textsplitters');
-
-/**
- * Splits a given text by token chunks, based on the provided parameters for the TokenTextSplitter.
- * Note: limit or memoize use of this function as its calculation is expensive.
- *
- * @param {Object} obj - Configuration object for the text splitting operation.
- * @param {string} obj.text - The text to be split.
- * @param {string} [obj.encodingName='cl100k_base'] - Encoding name. Defaults to 'cl100k_base'.
- * @param {number} [obj.chunkSize=1] - The token size of each chunk. Defaults to 1.
- * @param {number} [obj.chunkOverlap=0] - The number of chunk elements to be overlapped between adjacent chunks. Defaults to 0.
- * @param {number} [obj.returnSize] - If specified and not 0, slices the return array from the end by this amount.
- *
- * @returns {Promise<Array>} Returns a promise that resolves to an array of text chunks.
- * If no text is provided, an empty array is returned.
- * If returnSize is specified and not 0, slices the return array from the end by returnSize.
- *
- * @async
- * @function tokenSplit
- */
-async function tokenSplit({
-  text,
-  encodingName = 'cl100k_base',
-  chunkSize = 1,
-  chunkOverlap = 0,
-  returnSize,
-}) {
-  if (!text) {
-    return [];
-  }
-
-  const splitter = new TokenTextSplitter({
-    encodingName,
-    chunkSize,
-    chunkOverlap,
-  });
-
-  if (!returnSize) {
-    return await splitter.splitText(text);
-  }
-
-  const splitText = await splitter.splitText(text);
-
-  if (returnSize && returnSize > 0 && splitText.length > 0) {
-    return splitText.slice(-Math.abs(returnSize));
-  }
-
-  return splitText;
-}
-
-module.exports = tokenSplit;

api/app/clients/document/tokenSplit.spec.js

@@ -1,56 +0,0 @@
-const tokenSplit = require('./tokenSplit');
-
-describe('tokenSplit', () => {
-  const text = 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam id.';
-
-  it('returns correct text chunks with provided parameters', async () => {
-    const result = await tokenSplit({
-      text: text,
-      encodingName: 'gpt2',
-      chunkSize: 2,
-      chunkOverlap: 1,
-      returnSize: 5,
-    });
-
-    expect(result).toEqual(['it.', '. Null', ' Nullam', 'am id', ' id.']);
-  });
-
-  it('returns correct text chunks with default parameters', async () => {
-    const result = await tokenSplit({ text });
-    expect(result).toEqual([
-      'Lorem',
-      ' ipsum',
-      ' dolor',
-      ' sit',
-      ' amet',
-      ',',
-      ' consectetur',
-      ' adipiscing',
-      ' elit',
-      '.',
-      ' Null',
-      'am',
-      ' id',
-      '.',
-    ]);
-  });
-
-  it('returns correct text chunks with specific return size', async () => {
-    const result = await tokenSplit({ text, returnSize: 2 });
-    expect(result.length).toEqual(2);
-    expect(result).toEqual([' id', '.']);
-  });
-
-  it('returns correct text chunks with specified chunk size', async () => {
-    const result = await tokenSplit({ text, chunkSize: 10 });
-    expect(result).toEqual([
-      'Lorem ipsum dolor sit amet, consectetur adipiscing elit.',
-      ' Nullam id.',
-    ]);
-  });
-
-  it('returns empty array with no text', async () => {
-    const result = await tokenSplit({ text: '' });
-    expect(result).toEqual([]);
-  });
-});

api/app/clients/index.js

@@ -1,13 +0,0 @@
-const OpenAIClient = require('./OpenAIClient');
-const GoogleClient = require('./GoogleClient');
-const TextStream = require('./TextStream');
-const AnthropicClient = require('./AnthropicClient');
-const toolUtils = require('./tools/util');
-
-module.exports = {
-  OpenAIClient,
-  GoogleClient,
-  TextStream,
-  AnthropicClient,
-  ...toolUtils,
-};

api/app/clients/llm/createCoherePayload.js

@@ -1,85 +0,0 @@
-const { CohereConstants } = require('librechat-data-provider');
-const { titleInstruction } = require('../prompts/titlePrompts');
-
-// Mapping OpenAI roles to Cohere roles
-const roleMap = {
-  user: CohereConstants.ROLE_USER,
-  assistant: CohereConstants.ROLE_CHATBOT,
-  system: CohereConstants.ROLE_SYSTEM, // Recognize and map the system role explicitly
-};
-
-/**
- * Adjusts an OpenAI ChatCompletionPayload to conform with Cohere's expected chat payload format.
- * Now includes handling for "system" roles explicitly mentioned.
- *
- * @param {Object} options - Object containing the model options.
- * @param {ChatCompletionPayload} options.modelOptions - The OpenAI model payload options.
- * @returns {CohereChatStreamRequest} Cohere-compatible chat API payload.
- */
-function createCoherePayload({ modelOptions }) {
-  /** @type {string | undefined} */
-  let preamble;
-  let latestUserMessageContent = '';
-  const {
-    stream,
-    stop,
-    top_p,
-    temperature,
-    frequency_penalty,
-    presence_penalty,
-    max_tokens,
-    messages,
-    model,
-    ...rest
-  } = modelOptions;
-
-  // Filter out the latest user message and transform remaining messages to Cohere's chat_history format
-  let chatHistory = messages.reduce((acc, message, index, arr) => {
-    const isLastUserMessage = index === arr.length - 1 && message.role === 'user';
-
-    const messageContent =
-      typeof message.content === 'string'
-        ? message.content
-        : message.content.map((part) => (part.type === 'text' ? part.text : '')).join(' ');
-
-    if (isLastUserMessage) {
-      latestUserMessageContent = messageContent;
-    } else {
-      acc.push({
-        role: roleMap[message.role] || CohereConstants.ROLE_USER,
-        message: messageContent,
-      });
-    }
-
-    return acc;
-  }, []);
-
-  if (
-    chatHistory.length === 1 &&
-    chatHistory[0].role === CohereConstants.ROLE_SYSTEM &&
-    !latestUserMessageContent.length
-  ) {
-    const message = chatHistory[0].message;
-    latestUserMessageContent = message.includes(titleInstruction)
-      ? CohereConstants.TITLE_MESSAGE
-      : '.';
-    preamble = message;
-  }
-
-  return {
-    message: latestUserMessageContent,
-    model: model,
-    chatHistory,
-    stream: stream ?? false,
-    temperature: temperature,
-    frequencyPenalty: frequency_penalty,
-    presencePenalty: presence_penalty,
-    maxTokens: max_tokens,
-    stopSequences: stop,
-    preamble,
-    p: top_p,
-    ...rest,
-  };
-}
-
-module.exports = createCoherePayload;

api/app/clients/llm/index.js

@@ -1,5 +0,0 @@
-const createCoherePayload = require('./createCoherePayload');
-
-module.exports = {
-  createCoherePayload,
-};

api/app/clients/output_parsers/addImages.js

@@ -1,90 +0,0 @@
-const { getBasePath } = require('@librechat/api');
-const { logger } = require('@librechat/data-schemas');
-
-/**
- * The `addImages` function corrects any erroneous image URLs in the `responseMessage.text`
- * and appends image observations from `intermediateSteps` if they are not already present.
- *
- * @function
- * @module addImages
- *
- * @param {Array.<Object>} intermediateSteps - An array of objects, each containing an observation.
- * @param {Object} responseMessage - An object containing the text property which might have image URLs.
- *
- * @property {string} intermediateSteps[].observation - The observation string which might contain an image markdown.
- * @property {string} responseMessage.text - The text which might contain image URLs.
- *
- * @example
- *
- * const intermediateSteps = [
- *   { observation: '![desc](/images/test.png)' }
- * ];
- * const responseMessage = { text: 'Some text with ![desc](sandbox:/images/test.png)' };
- *
- * addImages(intermediateSteps, responseMessage);
- *
- * logger.debug(responseMessage.text);
- * // Outputs: 'Some text with ![desc](/images/test.png)\n![desc](/images/test.png)'
- *
- * @returns {void}
- */
-function addImages(intermediateSteps, responseMessage) {
-  if (!intermediateSteps || !responseMessage) {
-    return;
-  }
-
-  const basePath = getBasePath();
-
-  // Correct any erroneous URLs in the responseMessage.text first
-  intermediateSteps.forEach((step) => {
-    const { observation } = step;
-    if (!observation || !observation.includes('![')) {
-      return;
-    }
-
-    const match = observation.match(/\/images\/.*\.\w*/);
-    if (!match) {
-      return;
-    }
-    const essentialImagePath = match[0];
-    const fullImagePath = `${basePath}${essentialImagePath}`;
-
-    const regex = /!\[.*?\]\((.*?)\)/g;
-    let matchErroneous;
-    while ((matchErroneous = regex.exec(responseMessage.text)) !== null) {
-      if (matchErroneous[1] && !matchErroneous[1].startsWith(`${basePath}/images/`)) {
-        // Replace with the full path including base path
-        responseMessage.text = responseMessage.text.replace(matchErroneous[1], fullImagePath);
-      }
-    }
-  });
-
-  // Now, check if the responseMessage already includes the correct image file path and append if not
-  intermediateSteps.forEach((step) => {
-    const { observation } = step;
-    if (!observation || !observation.includes('![')) {
-      return;
-    }
-    const observedImagePath = observation.match(/!\[[^(]*\]\([^)]*\)/g);
-    if (observedImagePath) {
-      // Fix the image path to include base path if it doesn't already
-      let imageMarkdown = observedImagePath[0];
-      const urlMatch = imageMarkdown.match(/\(([^)]+)\)/);
-      if (
-        urlMatch &&
-        urlMatch[1] &&
-        !urlMatch[1].startsWith(`${basePath}/images/`) &&
-        urlMatch[1].startsWith('/images/')
-      ) {
-        imageMarkdown = imageMarkdown.replace(urlMatch[1], `${basePath}${urlMatch[1]}`);
-      }
-
-      if (!responseMessage.text.includes(imageMarkdown)) {
-        responseMessage.text += '\n' + imageMarkdown;
-        logger.debug('[addImages] added image from intermediateSteps:', imageMarkdown);
-      }
-    }
-  });
-}
-
-module.exports = addImages;

api/app/clients/output_parsers/addImages.spec.js

@@ -1,246 +0,0 @@
-let addImages = require('./addImages');
-
-describe('addImages', () => {
-  let intermediateSteps;
-  let responseMessage;
-  let options;
-
-  beforeEach(() => {
-    intermediateSteps = [];
-    responseMessage = { text: '' };
-    options = { debug: false };
-    this.options = options;
-    addImages = addImages.bind(this);
-  });
-
-  it('should handle null or undefined parameters', () => {
-    addImages(null, responseMessage);
-    expect(responseMessage.text).toBe('');
-
-    addImages(intermediateSteps, null);
-    expect(responseMessage.text).toBe('');
-
-    addImages(null, null);
-    expect(responseMessage.text).toBe('');
-  });
-
-  it('should append correct image markdown if not present in responseMessage', () => {
-    intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![desc](/images/test.png)');
-  });
-
-  it('should not append image markdown if already present in responseMessage', () => {
-    responseMessage.text = '![desc](/images/test.png)';
-    intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('![desc](/images/test.png)');
-  });
-
-  it('should correct and append image markdown with erroneous URL', () => {
-    responseMessage.text = '![desc](sandbox:/images/test.png)';
-    intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('![desc](/images/test.png)');
-  });
-
-  it('should correct multiple erroneous URLs in responseMessage', () => {
-    responseMessage.text =
-      '![desc1](sandbox:/images/test1.png) ![desc2](version:/images/test2.png)';
-    intermediateSteps.push({ observation: '![desc1](/images/test1.png)' });
-    intermediateSteps.push({ observation: '![desc2](/images/test2.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('![desc1](/images/test1.png) ![desc2](/images/test2.png)');
-  });
-
-  it('should not append non-image markdown observations', () => {
-    intermediateSteps.push({ observation: '[desc](/images/test.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('');
-  });
-
-  it('should handle multiple observations', () => {
-    intermediateSteps.push({ observation: '![desc1](/images/test1.png)' });
-    intermediateSteps.push({ observation: '![desc2](/images/test2.png)' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![desc1](/images/test1.png)\n![desc2](/images/test2.png)');
-  });
-
-  it('should not append if observation does not contain image markdown', () => {
-    intermediateSteps.push({ observation: 'This is a test observation without image markdown.' });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('');
-  });
-
-  it('should append correctly from a real scenario', () => {
-    responseMessage.text =
-      "Here is the generated image based on your request. It depicts a surreal landscape filled with floating musical notes. The style is impressionistic, with vibrant sunset hues dominating the scene. At the center, there's a silhouette of a grand piano, adding a dreamy emotion to the overall image. This could serve as a unique and creative music album cover. Would you like to make any changes or generate another image?";
-    const originalText = responseMessage.text;
-    const imageMarkdown = '![generated image](/images/img-RnVWaYo2Yg4x3e0isICiMuf5.png)';
-    intermediateSteps.push({ observation: imageMarkdown });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe(`${originalText}\n${imageMarkdown}`);
-  });
-
-  it('should extract only image markdowns when there is text between them', () => {
-    const markdownWithTextBetweenImages = `
-      ![image1](/images/image1.png)
-      Some text between images that should not be included.
-      ![image2](/images/image2.png)
-      More text that should be ignored.
-      ![image3](/images/image3.png)
-    `;
-    intermediateSteps.push({ observation: markdownWithTextBetweenImages });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![image1](/images/image1.png)');
-  });
-
-  it('should only return the first image when multiple images are present', () => {
-    const markdownWithMultipleImages = `
-      ![image1](/images/image1.png)
-      ![image2](/images/image2.png)
-      ![image3](/images/image3.png)
-    `;
-    intermediateSteps.push({ observation: markdownWithMultipleImages });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![image1](/images/image1.png)');
-  });
-
-  it('should not include any text or metadata surrounding the image markdown', () => {
-    const markdownWithMetadata = `
-      Title: Test Document
-      Author: John Doe
-      ![image1](/images/image1.png)
-      Some content after the image.
-      Vector values: [0.1, 0.2, 0.3]
-    `;
-    intermediateSteps.push({ observation: markdownWithMetadata });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![image1](/images/image1.png)');
-  });
-
-  it('should handle complex markdown with multiple images and only return the first one', () => {
-    const complexMarkdown = `
-      # Document Title
-      
-      ## Section 1
-      Here's some text with an embedded image:
-      ![image1](/images/image1.png)
-      
-      ## Section 2
-      More text here...
-      ![image2](/images/image2.png)
-      
-      ### Subsection
-      Even more content
-      ![image3](/images/image3.png)
-    `;
-    intermediateSteps.push({ observation: complexMarkdown });
-    addImages(intermediateSteps, responseMessage);
-    expect(responseMessage.text).toBe('\n![image1](/images/image1.png)');
-  });
-
-  describe('basePath functionality', () => {
-    let originalDomainClient;
-
-    beforeEach(() => {
-      originalDomainClient = process.env.DOMAIN_CLIENT;
-    });
-
-    afterEach(() => {
-      process.env.DOMAIN_CLIENT = originalDomainClient;
-    });
-
-    it('should prepend base path to image URLs when DOMAIN_CLIENT is set', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](/librechat/images/test.png)');
-    });
-
-    it('should not prepend base path when image URL already has base path', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({ observation: '![desc](/librechat/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](/librechat/images/test.png)');
-    });
-
-    it('should correct erroneous URLs with base path', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      responseMessage.text = '![desc](sandbox:/images/test.png)';
-      intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('![desc](/librechat/images/test.png)');
-    });
-
-    it('should handle empty base path (root deployment)', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/';
-      intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](/images/test.png)');
-    });
-
-    it('should handle missing DOMAIN_CLIENT', () => {
-      delete process.env.DOMAIN_CLIENT;
-      intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](/images/test.png)');
-    });
-
-    it('should handle observation without image path match', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({ observation: '![desc](not-an-image-path)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](not-an-image-path)');
-    });
-
-    it('should handle nested subdirectories in base path', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/apps/librechat';
-      intermediateSteps.push({ observation: '![desc](/images/test.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](/apps/librechat/images/test.png)');
-    });
-
-    it('should handle multiple observations with mixed base path scenarios', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({ observation: '![desc1](/images/test1.png)' });
-      intermediateSteps.push({ observation: '![desc2](/librechat/images/test2.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe(
-        '\n![desc1](/librechat/images/test1.png)\n![desc2](/librechat/images/test2.png)',
-      );
-    });
-
-    it('should handle complex markdown with base path', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      const complexMarkdown = `
-        # Document Title
-        ![image1](/images/image1.png)
-        Some text between images
-        ![image2](/images/image2.png)
-      `;
-      intermediateSteps.push({ observation: complexMarkdown });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![image1](/librechat/images/image1.png)');
-    });
-
-    it('should handle URLs that are already absolute', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({ observation: '![desc](https://example.com/image.png)' });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe('\n![desc](https://example.com/image.png)');
-    });
-
-    it('should handle data URLs', () => {
-      process.env.DOMAIN_CLIENT = 'http://localhost:3080/librechat';
-      intermediateSteps.push({
-        observation:
-          '![desc](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg==)',
-      });
-      addImages(intermediateSteps, responseMessage);
-      expect(responseMessage.text).toBe(
-        '\n![desc](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg==)',
-      );
-    });
-  });
-});

api/app/clients/output_parsers/handleOutputs.js

@@ -1,88 +0,0 @@
-const { instructions, imageInstructions, errorInstructions } = require('../prompts');
-
-function getActions(actions = [], functionsAgent = false) {
-  let output = 'Internal thoughts & actions taken:\n"';
-
-  if (actions[0]?.action && functionsAgent) {
-    actions = actions.map((step) => ({
-      log: `Action: ${step.action?.tool || ''}\nInput: ${
-        JSON.stringify(step.action?.toolInput) || ''
-      }\nObservation: ${step.observation}`,
-    }));
-  } else if (actions[0]?.action) {
-    actions = actions.map((step) => ({
-      log: `${step.action.log}\nObservation: ${step.observation}`,
-    }));
-  }
-
-  actions.forEach((actionObj, index) => {
-    output += `${actionObj.log}`;
-    if (index < actions.length - 1) {
-      output += '\n';
-    }
-  });
-
-  return output + '"';
-}
-
-function buildErrorInput({ message, errorMessage, actions, functionsAgent }) {
-  const log = errorMessage.includes('Could not parse LLM output:')
-    ? `A formatting error occurred with your response to the human's last message. You didn't follow the formatting instructions. Remember to ${instructions}`
-    : `You encountered an error while replying to the human's last message. Attempt to answer again or admit an answer cannot be given.\nError: ${errorMessage}`;
-
-  return `
-    ${log}
-
-    ${getActions(actions, functionsAgent)}
-
-    Human's last message: ${message}
-    `;
-}
-
-function buildPromptPrefix({ result, message, functionsAgent }) {
-  if ((result.output && result.output.includes('N/A')) || result.output === undefined) {
-    return null;
-  }
-
-  if (
-    result?.intermediateSteps?.length === 1 &&
-    result?.intermediateSteps[0]?.action?.toolInput === 'N/A'
-  ) {
-    return null;
-  }
-
-  const internalActions =
-    result?.intermediateSteps?.length > 0
-      ? getActions(result.intermediateSteps, functionsAgent)
-      : 'Internal Actions Taken: None';
-
-  const toolBasedInstructions = internalActions.toLowerCase().includes('image')
-    ? imageInstructions
-    : '';
-
-  const errorMessage = result.errorMessage ? `${errorInstructions} ${result.errorMessage}\n` : '';
-
-  const preliminaryAnswer =
-    result.output?.length > 0 ? `Preliminary Answer: "${result.output.trim()}"` : '';
-  const prefix = preliminaryAnswer
-    ? 'review and improve the answer you generated using plugins in response to the User Message below. The user hasn\'t seen your answer or thoughts yet.'
-    : 'respond to the User Message below based on your preliminary thoughts & actions.';
-
-  return `As a helpful AI Assistant, ${prefix}${errorMessage}\n${internalActions}
-${preliminaryAnswer}
-Reply conversationally to the User based on your ${
-  preliminaryAnswer ? 'preliminary answer, ' : ''
-}internal actions, thoughts, and observations, making improvements wherever possible, but do not modify URLs.
-${
-  preliminaryAnswer
-    ? ''
-    : '\nIf there is an incomplete thought or action, you are expected to complete it in your response now.\n'
-}You must cite sources if you are using any web links. ${toolBasedInstructions}
-Only respond with your conversational reply to the following User Message:
-"${message}"`;
-}
-
-module.exports = {
-  buildErrorInput,
-  buildPromptPrefix,
-};

api/app/clients/output_parsers/index.js

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

api/app/clients/prompts/artifacts.js

@@ -1,537 +0,0 @@
-const dedent = require('dedent');
-const { EModelEndpoint, ArtifactModes } = require('librechat-data-provider');
-const { generateShadcnPrompt } = require('~/app/clients/prompts/shadcn-docs/generate');
-const { components } = require('~/app/clients/prompts/shadcn-docs/components');
-
-/** @deprecated */
-// eslint-disable-next-line no-unused-vars
-const artifactsPromptV1 = dedent`The assistant can create and reference artifacts during conversations.
-  
-Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
-
-# Good artifacts are...
-- Substantial content (>15 lines)
-- Content that the user is likely to modify, iterate on, or take ownership of
-- Self-contained, complex content that can be understood on its own, without context from the conversation
-- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
-- Content likely to be referenced or reused multiple times
-
-# Don't use artifacts for...
-- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
-- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
-- Suggestions, commentary, or feedback on existing artifacts
-- Conversational or explanatory content that doesn't represent a standalone piece of work
-- Content that is dependent on the current conversational context to be useful
-- Content that is unlikely to be modified or iterated upon by the user
-- Request from users that appears to be a one-off question
-
-# Usage notes
-- One artifact per message unless specifically requested
-- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
-- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
-- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
-- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
-- Always provide complete, specific, and fully functional content without any placeholders, ellipses, or 'remains the same' comments.
-
-<artifact_instructions>
-  When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
-
-  1. Create the artifact using the following format:
-
-     :::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
-     \`\`\`
-     Your artifact content here
-     \`\`\`
-     :::
-
-  2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
-  3. Include a \`title\` attribute to provide a brief title or description of the content.
-  4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
-    - HTML: "text/html"
-      - The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - The only place external scripts can be imported from is https://cdnjs.cloudflare.com
-    - Mermaid Diagrams: "application/vnd.mermaid"
-      - The user interface will render Mermaid diagrams placed within the artifact tags.
-    - React Components: "application/vnd.react"
-      - Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
-      - When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
-      - Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
-      - Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
-      - The lucide-react@0.263.1 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
-      - The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
-      - The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
-      - Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
-      - NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
-  5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
-  6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
-  7. Always use triple backticks (\`\`\`) to enclose the content within the artifact, regardless of the content type.
-</artifact_instructions>
-
-Here are some examples of correct usage of artifacts:
-
-<examples>
-  <example_docstring>
-    This example demonstrates how to create a Mermaid artifact for a simple flow chart.
-  </example_docstring>
-
-  <example>
-    <user_query>Can you create a simple flow chart showing the process of making tea using Mermaid?</user_query>
-
-    <assistant_response>
-      Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
-
-      :::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
-      \`\`\`mermaid
-      graph TD
-          A[Start] --> B{Water boiled?}
-          B -->|Yes| C[Add tea leaves to cup]
-          B -->|No| D[Boil water]
-          D --> B
-          C --> E[Pour boiling water into cup]
-          E --> F[Steep tea for desired time]
-          F --> G[Remove tea leaves]
-          G --> H[Add milk or sugar, if desired]
-          H --> I[Enjoy your tea!]
-          I --> J[End]
-      \`\`\`
-      :::
-
-      This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
-
-      1. Start
-      2. Check if water is boiled
-      3. If not boiled, boil the water
-      4. Once water is boiled, add tea leaves to the cup
-      5. Pour boiling water into the cup
-      6. Steep the tea for the desired time
-      7. Remove the tea leaves
-      8. Optionally add milk or sugar
-      9. Enjoy your tea!
-      10. End
-
-      This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
-    </assistant_response>
-  </example>
-</examples>`;
-
-const artifactsPrompt = dedent`The assistant can create and reference artifacts during conversations.
-  
-Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
-
-# Good artifacts are...
-- Substantial content (>15 lines)
-- Content that the user is likely to modify, iterate on, or take ownership of
-- Self-contained, complex content that can be understood on its own, without context from the conversation
-- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
-- Content likely to be referenced or reused multiple times
-
-# Don't use artifacts for...
-- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
-- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
-- Suggestions, commentary, or feedback on existing artifacts
-- Conversational or explanatory content that doesn't represent a standalone piece of work
-- Content that is dependent on the current conversational context to be useful
-- Content that is unlikely to be modified or iterated upon by the user
-- Request from users that appears to be a one-off question
-
-# Usage notes
-- One artifact per message unless specifically requested
-- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
-- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
-- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
-- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
-- Always provide complete, specific, and fully functional content for artifacts without any snippets, placeholders, ellipses, or 'remains the same' comments.
-- If an artifact is not necessary or requested, the assistant should not mention artifacts at all, and respond to the user accordingly.
-
-<artifact_instructions>
-  When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
-
-  1. Create the artifact using the following format:
-
-     :::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
-     \`\`\`
-     Your artifact content here
-     \`\`\`
-     :::
-
-  2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
-  3. Include a \`title\` attribute to provide a brief title or description of the content.
-  4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
-    - HTML: "text/html"
-      - The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - The only place external scripts can be imported from is https://cdnjs.cloudflare.com
-    - SVG: "image/svg+xml"
-      - The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
-      - The assistant should specify the viewbox of the SVG rather than defining a width/height
-    - Markdown: "text/markdown" or "text/md"
-      - The user interface will render Markdown content placed within the artifact tags.
-      - Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
-      - Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
-    - Mermaid Diagrams: "application/vnd.mermaid"
-      - The user interface will render Mermaid diagrams placed within the artifact tags.
-    - React Components: "application/vnd.react"
-      - Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
-      - When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
-      - Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
-      - Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
-      - The lucide-react@0.394.0 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
-      - The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
-      - The three.js library is available to be imported, e.g. \`import * as THREE from "three";\`
-      - The date-fns library is available to be imported, e.g. \`import { compareAsc, format } from "date-fns";\`
-      - The react-day-picker library is available to be imported, e.g. \`import { DayPicker } from "react-day-picker";\`
-      - The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
-      - Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
-      - NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - When iterating on code, ensure that the code is complete and functional without any snippets, placeholders, or ellipses.
-      - If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
-  5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
-  6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
-  7. Always use triple backticks (\`\`\`) to enclose the content within the artifact, regardless of the content type.
-</artifact_instructions>
-
-Here are some examples of correct usage of artifacts:
-
-<examples>
-  <example_docstring>
-    This example demonstrates how to create a Mermaid artifact for a simple flow chart.
-  </example_docstring>
-
-  <example>
-    <user_query>Can you create a simple flow chart showing the process of making tea using Mermaid?</user_query>
-
-    <assistant_response>
-      Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
-
-      :::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
-      \`\`\`mermaid
-      graph TD
-          A[Start] --> B{Water boiled?}
-          B -->|Yes| C[Add tea leaves to cup]
-          B -->|No| D[Boil water]
-          D --> B
-          C --> E[Pour boiling water into cup]
-          E --> F[Steep tea for desired time]
-          F --> G[Remove tea leaves]
-          G --> H[Add milk or sugar, if desired]
-          H --> I[Enjoy your tea!]
-          I --> J[End]
-      \`\`\`
-      :::
-
-      This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
-
-      1. Start
-      2. Check if water is boiled
-      3. If not boiled, boil the water
-      4. Once water is boiled, add tea leaves to the cup
-      5. Pour boiling water into the cup
-      6. Steep the tea for the desired time
-      7. Remove the tea leaves
-      8. Optionally add milk or sugar
-      9. Enjoy your tea!
-      10. End
-
-      This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
-    </assistant_response>
-  </example>
-
-  <example>
-    <user_query>Create a simple React counter component</user_query>
-    <assistant_response>
-      Here's a simple React counter component:
-
-      :::artifact{identifier="react-counter" type="application/vnd.react" title="React Counter"}
-      \`\`\`
-      import { useState } from 'react';
-
-      export default function Counter() {
-        const [count, setCount] = useState(0);
-        return (
-          <div className="p-4">
-            <p className="mb-2">Count: {count}</p>
-            <button className="bg-blue-500 text-white px-4 py-2 rounded" onClick={() => setCount(count + 1)}>
-              Increment
-            </button>
-          </div>
-        );
-      }
-      \`\`\`
-      :::
-
-      This component creates a simple counter with an increment button.
-    </assistant_response>
-  </example>
-
-  <example>
-    <user_query>Create a basic HTML structure for a blog post</user_query>
-    <assistant_response>
-      Here's a basic HTML structure for a blog post:
-
-      :::artifact{identifier="blog-post-html" type="text/html" title="Blog Post HTML"}
-      \`\`\`
-      <!DOCTYPE html>
-      <html lang="en">
-      <head>
-        <meta charset="UTF-8">
-        <meta name="viewport" content="width=device-width, initial-scale=1.0">
-        <title>My Blog Post</title>
-        <style>
-          body { font-family: Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; }
-          h1 { color: #333; }
-          p { margin-bottom: 15px; }
-        </style>
-      </head>
-      <body>
-        <header>
-          <h1>My First Blog Post</h1>
-        </header>
-        <main>
-          <article>
-            <p>This is the content of my blog post. It's short and sweet!</p>
-          </article>
-        </main>
-        <footer>
-          <p>&copy; 2023 My Blog</p>
-        </footer>
-      </body>
-      </html>
-      \`\`\`
-      :::
-
-      This HTML structure provides a simple layout for a blog post.
-    </assistant_response>
-  </example>
-</examples>`;
-
-const artifactsOpenAIPrompt = dedent`The assistant can create and reference artifacts during conversations.
-  
-Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
-
-# Good artifacts are...
-- Substantial content (>15 lines)
-- Content that the user is likely to modify, iterate on, or take ownership of
-- Self-contained, complex content that can be understood on its own, without context from the conversation
-- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
-- Content likely to be referenced or reused multiple times
-
-# Don't use artifacts for...
-- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
-- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
-- Suggestions, commentary, or feedback on existing artifacts
-- Conversational or explanatory content that doesn't represent a standalone piece of work
-- Content that is dependent on the current conversational context to be useful
-- Content that is unlikely to be modified or iterated upon by the user
-- Request from users that appears to be a one-off question
-
-# Usage notes
-- One artifact per message unless specifically requested
-- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
-- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
-- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
-- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
-- Always provide complete, specific, and fully functional content for artifacts without any snippets, placeholders, ellipses, or 'remains the same' comments.
-- If an artifact is not necessary or requested, the assistant should not mention artifacts at all, and respond to the user accordingly.
-
-## Artifact Instructions
-  When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
-
-  1. Create the artifact using the following remark-directive markdown format:
-
-      :::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
-      \`\`\`
-      Your artifact content here
-      \`\`\`
-      :::
-
-  a. Example of correct format:
-
-      :::artifact{identifier="example-artifact" type="text/plain" title="Example Artifact"}
-      \`\`\`
-      This is the content of the artifact.
-      It can span multiple lines.
-      \`\`\`
-      :::
-
-  b. Common mistakes to avoid:
-   - Don't split the opening ::: line
-   - Don't add extra backticks outside the artifact structure
-   - Don't omit the closing :::
-
-  2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
-  3. Include a \`title\` attribute to provide a brief title or description of the content.
-  4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
-    - HTML: "text/html"
-      - The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - The only place external scripts can be imported from is https://cdnjs.cloudflare.com
-    - SVG: "image/svg+xml"
-      - The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
-      - The assistant should specify the viewbox of the SVG rather than defining a width/height
-    - Markdown: "text/markdown" or "text/md"
-      - The user interface will render Markdown content placed within the artifact tags.
-      - Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
-      - Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
-    - Mermaid Diagrams: "application/vnd.mermaid"
-      - The user interface will render Mermaid diagrams placed within the artifact tags.
-    - React Components: "application/vnd.react"
-      - Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
-      - When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
-      - Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
-      - Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
-      - The lucide-react@0.394.0 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
-      - The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
-      - The three.js library is available to be imported, e.g. \`import * as THREE from "three";\`
-      - The date-fns library is available to be imported, e.g. \`import { compareAsc, format } from "date-fns";\`
-      - The react-day-picker library is available to be imported, e.g. \`import { DayPicker } from "react-day-picker";\`
-      - The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
-      - Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
-      - NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
-      - Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
-      - When iterating on code, ensure that the code is complete and functional without any snippets, placeholders, or ellipses.
-      - If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
-  5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
-  6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
-  7. NEVER use triple backticks to enclose the artifact, ONLY the content within the artifact.
-
-Here are some examples of correct usage of artifacts:
-
-## Examples
-
-### Example 1
-
-    This example demonstrates how to create a Mermaid artifact for a simple flow chart.
-
-    User: Can you create a simple flow chart showing the process of making tea using Mermaid?
-
-    Assistant: Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
-
-      :::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
-      \`\`\`mermaid
-      graph TD
-          A[Start] --> B{Water boiled?}
-          B -->|Yes| C[Add tea leaves to cup]
-          B -->|No| D[Boil water]
-          D --> B
-          C --> E[Pour boiling water into cup]
-          E --> F[Steep tea for desired time]
-          F --> G[Remove tea leaves]
-          G --> H[Add milk or sugar, if desired]
-          H --> I[Enjoy your tea!]
-          I --> J[End]
-      \`\`\`
-      :::
-
-      This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
-
-      1. Start
-      2. Check if water is boiled
-      3. If not boiled, boil the water
-      4. Once water is boiled, add tea leaves to the cup
-      5. Pour boiling water into the cup
-      6. Steep the tea for the desired time
-      7. Remove the tea leaves
-      8. Optionally add milk or sugar
-      9. Enjoy your tea!
-      10. End
-
-      This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
-
----
-
-### Example 2
-
-    User: Create a simple React counter component
-    
-    Assistant: Here's a simple React counter component:
-
-      :::artifact{identifier="react-counter" type="application/vnd.react" title="React Counter"}
-      \`\`\`
-      import { useState } from 'react';
-
-      export default function Counter() {
-        const [count, setCount] = useState(0);
-        return (
-          <div className="p-4">
-            <p className="mb-2">Count: {count}</p>
-            <button className="bg-blue-500 text-white px-4 py-2 rounded" onClick={() => setCount(count + 1)}>
-              Increment
-            </button>
-          </div>
-        );
-      }
-      \`\`\`
-      :::
-
-      This component creates a simple counter with an increment button.
-
----
-
-### Example 3
-    User: Create a basic HTML structure for a blog post
-    Assistant: Here's a basic HTML structure for a blog post:
-
-      :::artifact{identifier="blog-post-html" type="text/html" title="Blog Post HTML"}
-      \`\`\`
-      <!DOCTYPE html>
-      <html lang="en">
-      <head>
-        <meta charset="UTF-8">
-        <meta name="viewport" content="width=device-width, initial-scale=1.0">
-        <title>My Blog Post</title>
-        <style>
-          body { font-family: Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; }
-          h1 { color: #333; }
-          p { margin-bottom: 15px; }
-        </style>
-      </head>
-      <body>
-        <header>
-          <h1>My First Blog Post</h1>
-        </header>
-        <main>
-          <article>
-            <p>This is the content of my blog post. It's short and sweet!</p>
-          </article>
-        </main>
-        <footer>
-          <p>&copy; 2023 My Blog</p>
-        </footer>
-      </body>
-      </html>
-      \`\`\`
-      :::
-
-      This HTML structure provides a simple layout for a blog post.
-
----`;
-
-/**
- *
- * @param {Object} params
- * @param {EModelEndpoint | string} params.endpoint - The current endpoint
- * @param {ArtifactModes} params.artifacts - The current artifact mode
- * @returns
- */
-const generateArtifactsPrompt = ({ endpoint, artifacts }) => {
-  if (artifacts === ArtifactModes.CUSTOM) {
-    return null;
-  }
-
-  let prompt = artifactsPrompt;
-  if (endpoint !== EModelEndpoint.anthropic) {
-    prompt = artifactsOpenAIPrompt;
-  }
-
-  if (artifacts === ArtifactModes.SHADCNUI) {
-    prompt += generateShadcnPrompt({ components, useXML: endpoint === EModelEndpoint.anthropic });
-  }
-
-  return prompt;
-};
-
-module.exports = generateArtifactsPrompt;

api/app/clients/prompts/createContextHandlers.js

@@ -1,160 +0,0 @@
-const axios = require('axios');
-const { logger } = require('@librechat/data-schemas');
-const { isEnabled, generateShortLivedToken } = require('@librechat/api');
-
-const footer = `Use the context as your learned knowledge to better answer the user.
-
-In your response, remember to follow these guidelines:
-- If you don't know the answer, simply say that you don't know.
-- If you are unsure how to answer, ask for clarification.
-- Avoid mentioning that you obtained the information from the context.
-`;
-
-function createContextHandlers(req, userMessageContent) {
-  if (!process.env.RAG_API_URL) {
-    return;
-  }
-
-  const queryPromises = [];
-  const processedFiles = [];
-  const processedIds = new Set();
-  const jwtToken = generateShortLivedToken(req.user.id);
-  const useFullContext = isEnabled(process.env.RAG_USE_FULL_CONTEXT);
-
-  const query = async (file) => {
-    if (useFullContext) {
-      return axios.get(`${process.env.RAG_API_URL}/documents/${file.file_id}/context`, {
-        headers: {
-          Authorization: `Bearer ${jwtToken}`,
-        },
-      });
-    }
-
-    return axios.post(
-      `${process.env.RAG_API_URL}/query`,
-      {
-        file_id: file.file_id,
-        query: userMessageContent,
-        k: 4,
-      },
-      {
-        headers: {
-          Authorization: `Bearer ${jwtToken}`,
-          'Content-Type': 'application/json',
-        },
-      },
-    );
-  };
-
-  const processFile = async (file) => {
-    if (file.embedded && !processedIds.has(file.file_id)) {
-      try {
-        const promise = query(file);
-        queryPromises.push(promise);
-        processedFiles.push(file);
-        processedIds.add(file.file_id);
-      } catch (error) {
-        logger.error(`Error processing file ${file.filename}:`, error);
-      }
-    }
-  };
-
-  const createContext = async () => {
-    try {
-      if (!queryPromises.length || !processedFiles.length) {
-        return '';
-      }
-
-      const oneFile = processedFiles.length === 1;
-      const header = `The user has attached ${oneFile ? 'a' : processedFiles.length} file${
-        !oneFile ? 's' : ''
-      } to the conversation:`;
-
-      const files = `${
-        oneFile
-          ? ''
-          : `
-      <files>`
-      }${processedFiles
-        .map(
-          (file) => `
-              <file>
-                <filename>${file.filename}</filename>
-                <type>${file.type}</type>
-              </file>`,
-        )
-        .join('')}${
-        oneFile
-          ? ''
-          : `
-        </files>`
-      }`;
-
-      const resolvedQueries = await Promise.all(queryPromises);
-
-      const context =
-        resolvedQueries.length === 0
-          ? '\n\tThe semantic search did not return any results.'
-          : resolvedQueries
-              .map((queryResult, index) => {
-                const file = processedFiles[index];
-                let contextItems = queryResult.data;
-
-                const generateContext = (currentContext) =>
-                  `
-          <file>
-            <filename>${file.filename}</filename>
-            <context>${currentContext}
-            </context>
-          </file>`;
-
-                if (useFullContext) {
-                  return generateContext(`\n${contextItems}`);
-                }
-
-                contextItems = queryResult.data
-                  .map((item) => {
-                    const pageContent = item[0].page_content;
-                    return `
-            <contextItem>
-              <![CDATA[${pageContent?.trim()}]]>
-            </contextItem>`;
-                  })
-                  .join('');
-
-                return generateContext(contextItems);
-              })
-              .join('');
-
-      if (useFullContext) {
-        const prompt = `${header}
-          ${context}
-          ${footer}`;
-
-        return prompt;
-      }
-
-      const prompt = `${header}
-        ${files}
-
-        A semantic search was executed with the user's message as the query, retrieving the following context inside <context></context> XML tags.
-
-        <context>${context}
-        </context>
-
-        ${footer}`;
-
-      return prompt;
-    } catch (error) {
-      logger.error('Error creating context:', error);
-      throw error;
-    }
-  };
-
-  return {
-    processFile,
-    createContext,
-  };
-}
-
-module.exports = createContextHandlers;

api/app/clients/prompts/createVisionPrompt.js

@@ -1,34 +0,0 @@
-/**
- * Generates a prompt instructing the user to describe an image in detail, tailored to different types of visual content.
- * @param {boolean} pluralized - Whether to pluralize the prompt for multiple images.
- * @returns {string} - The generated vision prompt.
- */
-const createVisionPrompt = (pluralized = false) => {
-  return `Please describe the image${
-    pluralized ? 's' : ''
-  } in detail, covering relevant aspects such as:
-
-  For photographs, illustrations, or artwork:
-  - The main subject(s) and their appearance, positioning, and actions
-  - The setting, background, and any notable objects or elements
-  - Colors, lighting, and overall mood or atmosphere
-  - Any interesting details, textures, or patterns
-  - The style, technique, or medium used (if discernible)
-  
-  For screenshots or images containing text:
-  - The content and purpose of the text
-  - The layout, formatting, and organization of the information
-  - Any notable visual elements, such as logos, icons, or graphics
-  - The overall context or message conveyed by the screenshot
-  
-  For graphs, charts, or data visualizations:
-  - The type of graph or chart (e.g., bar graph, line chart, pie chart)
-  - The variables being compared or analyzed
-  - Any trends, patterns, or outliers in the data
-  - The axis labels, scales, and units of measurement
-  - The title, legend, and any additional context provided
-  
-  Be as specific and descriptive as possible while maintaining clarity and concision.`;
-};
-
-module.exports = createVisionPrompt;

api/app/clients/prompts/formatAgentMessages.spec.js

@@ -1,361 +0,0 @@
-const { ToolMessage } = require('@langchain/core/messages');
-const { ContentTypes } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
-const { formatAgentMessages } = require('./formatMessages');
-
-describe('formatAgentMessages', () => {
-  it('should format simple user and AI messages', () => {
-    const payload = [
-      { role: 'user', content: 'Hello' },
-      { role: 'assistant', content: 'Hi there!' },
-    ];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(2);
-    expect(result[0]).toBeInstanceOf(HumanMessage);
-    expect(result[1]).toBeInstanceOf(AIMessage);
-  });
-
-  it('should handle system messages', () => {
-    const payload = [{ role: 'system', content: 'You are a helpful assistant.' }];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(SystemMessage);
-  });
-
-  it('should format messages with content arrays', () => {
-    const payload = [
-      {
-        role: 'user',
-        content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello' }],
-      },
-    ];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(HumanMessage);
-  });
-
-  it('should handle tool calls and create ToolMessages', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          {
-            type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: 'Let me check that for you.',
-            tool_call_ids: ['123'],
-          },
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: '123',
-              name: 'search',
-              args: '{"query":"weather"}',
-              output: 'The weather is sunny.',
-            },
-          },
-        ],
-      },
-    ];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(2);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(result[1]).toBeInstanceOf(ToolMessage);
-    expect(result[0].tool_calls).toHaveLength(1);
-    expect(result[1].tool_call_id).toBe('123');
-  });
-
-  it('should handle multiple content parts in assistant messages', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Part 1' },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Part 2' },
-        ],
-      },
-    ];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(result[0].content).toHaveLength(2);
-  });
-
-  it('should throw an error for invalid tool call structure', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: '123',
-              name: 'search',
-              args: '{"query":"weather"}',
-              output: 'The weather is sunny.',
-            },
-          },
-        ],
-      },
-    ];
-    expect(() => formatAgentMessages(payload)).toThrow('Invalid tool call structure');
-  });
-
-  it('should handle tool calls with non-JSON args', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Checking...', tool_call_ids: ['123'] },
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: '123',
-              name: 'search',
-              args: 'non-json-string',
-              output: 'Result',
-            },
-          },
-        ],
-      },
-    ];
-    const result = formatAgentMessages(payload);
-    expect(result).toHaveLength(2);
-    expect(result[0].tool_calls[0].args).toStrictEqual({ input: 'non-json-string' });
-  });
-
-  it('should handle complex tool calls with multiple steps', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          {
-            type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: "I'll search for that information.",
-            tool_call_ids: ['search_1'],
-          },
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: 'search_1',
-              name: 'search',
-              args: '{"query":"weather in New York"}',
-              output: 'The weather in New York is currently sunny with a temperature of 75°F.',
-            },
-          },
-          {
-            type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: "Now, I'll convert the temperature.",
-            tool_call_ids: ['convert_1'],
-          },
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: 'convert_1',
-              name: 'convert_temperature',
-              args: '{"temperature": 75, "from": "F", "to": "C"}',
-              output: '23.89°C',
-            },
-          },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's your answer." },
-        ],
-      },
-    ];
-
-    const result = formatAgentMessages(payload);
-
-    expect(result).toHaveLength(5);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(result[1]).toBeInstanceOf(ToolMessage);
-    expect(result[2]).toBeInstanceOf(AIMessage);
-    expect(result[3]).toBeInstanceOf(ToolMessage);
-    expect(result[4]).toBeInstanceOf(AIMessage);
-
-    // Check first AIMessage
-    expect(result[0].content).toBe("I'll search for that information.");
-    expect(result[0].tool_calls).toHaveLength(1);
-    expect(result[0].tool_calls[0]).toEqual({
-      id: 'search_1',
-      name: 'search',
-      args: { query: 'weather in New York' },
-    });
-
-    // Check first ToolMessage
-    expect(result[1].tool_call_id).toBe('search_1');
-    expect(result[1].name).toBe('search');
-    expect(result[1].content).toBe(
-      'The weather in New York is currently sunny with a temperature of 75°F.',
-    );
-
-    // Check second AIMessage
-    expect(result[2].content).toBe("Now, I'll convert the temperature.");
-    expect(result[2].tool_calls).toHaveLength(1);
-    expect(result[2].tool_calls[0]).toEqual({
-      id: 'convert_1',
-      name: 'convert_temperature',
-      args: { temperature: 75, from: 'F', to: 'C' },
-    });
-
-    // Check second ToolMessage
-    expect(result[3].tool_call_id).toBe('convert_1');
-    expect(result[3].name).toBe('convert_temperature');
-    expect(result[3].content).toBe('23.89°C');
-
-    // Check final AIMessage
-    expect(result[4].content).toStrictEqual([
-      { [ContentTypes.TEXT]: "Here's your answer.", type: ContentTypes.TEXT },
-    ]);
-  });
-
-  it.skip('should not produce two consecutive assistant messages and format content correctly', () => {
-    const payload = [
-      { role: 'user', content: 'Hello' },
-      {
-        role: 'assistant',
-        content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hi there!' }],
-      },
-      {
-        role: 'assistant',
-        content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'How can I help you?' }],
-      },
-      { role: 'user', content: "What's the weather?" },
-      {
-        role: 'assistant',
-        content: [
-          {
-            type: ContentTypes.TEXT,
-            [ContentTypes.TEXT]: 'Let me check that for you.',
-            tool_call_ids: ['weather_1'],
-          },
-          {
-            type: ContentTypes.TOOL_CALL,
-            tool_call: {
-              id: 'weather_1',
-              name: 'check_weather',
-              args: '{"location":"New York"}',
-              output: 'Sunny, 75°F',
-            },
-          },
-        ],
-      },
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's the weather information." },
-        ],
-      },
-    ];
-
-    const result = formatAgentMessages(payload);
-
-    // Check correct message count and types
-    expect(result).toHaveLength(6);
-    expect(result[0]).toBeInstanceOf(HumanMessage);
-    expect(result[1]).toBeInstanceOf(AIMessage);
-    expect(result[2]).toBeInstanceOf(HumanMessage);
-    expect(result[3]).toBeInstanceOf(AIMessage);
-    expect(result[4]).toBeInstanceOf(ToolMessage);
-    expect(result[5]).toBeInstanceOf(AIMessage);
-
-    // Check content of messages
-    expect(result[0].content).toStrictEqual([
-      { [ContentTypes.TEXT]: 'Hello', type: ContentTypes.TEXT },
-    ]);
-    expect(result[1].content).toStrictEqual([
-      { [ContentTypes.TEXT]: 'Hi there!', type: ContentTypes.TEXT },
-      { [ContentTypes.TEXT]: 'How can I help you?', type: ContentTypes.TEXT },
-    ]);
-    expect(result[2].content).toStrictEqual([
-      { [ContentTypes.TEXT]: "What's the weather?", type: ContentTypes.TEXT },
-    ]);
-    expect(result[3].content).toBe('Let me check that for you.');
-    expect(result[4].content).toBe('Sunny, 75°F');
-    expect(result[5].content).toStrictEqual([
-      { [ContentTypes.TEXT]: "Here's the weather information.", type: ContentTypes.TEXT },
-    ]);
-
-    // Check that there are no consecutive AIMessages
-    const messageTypes = result.map((message) => message.constructor);
-    for (let i = 0; i < messageTypes.length - 1; i++) {
-      expect(messageTypes[i] === AIMessage && messageTypes[i + 1] === AIMessage).toBe(false);
-    }
-
-    // Additional check to ensure the consecutive assistant messages were combined
-    expect(result[1].content).toHaveLength(2);
-  });
-
-  it('should skip THINK type content parts', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Initial response' },
-          { type: ContentTypes.THINK, [ContentTypes.THINK]: 'Reasoning about the problem...' },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
-        ],
-      },
-    ];
-
-    const result = formatAgentMessages(payload);
-
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(result[0].content).toEqual('Initial response\nFinal answer');
-  });
-
-  it('should join TEXT content as string when THINK content type is present', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.THINK, [ContentTypes.THINK]: 'Analyzing the problem...' },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'First part of response' },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Second part of response' },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final part of response' },
-        ],
-      },
-    ];
-
-    const result = formatAgentMessages(payload);
-
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(typeof result[0].content).toBe('string');
-    expect(result[0].content).toBe(
-      'First part of response\nSecond part of response\nFinal part of response',
-    );
-    expect(result[0].content).not.toContain('Analyzing the problem...');
-  });
-
-  it('should exclude ERROR type content parts', () => {
-    const payload = [
-      {
-        role: 'assistant',
-        content: [
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
-          {
-            type: ContentTypes.ERROR,
-            [ContentTypes.ERROR]:
-              'An error occurred while processing the request: Something went wrong',
-          },
-          { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
-        ],
-      },
-    ];
-
-    const result = formatAgentMessages(payload);
-
-    expect(result).toHaveLength(1);
-    expect(result[0]).toBeInstanceOf(AIMessage);
-    expect(result[0].content).toEqual([
-      { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
-      { type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
-    ]);
-
-    // Make sure no error content exists in the result
-    const hasErrorContent = result[0].content.some(
-      (item) =>
-        item.type === ContentTypes.ERROR || JSON.stringify(item).includes('An error occurred'),
-    );
-    expect(hasErrorContent).toBe(false);
-  });
-});

api/app/clients/prompts/formatGoogleInputs.js

@@ -1,42 +0,0 @@
-/**
- * Formats an object to match the struct_val, list_val, string_val, float_val, and int_val format.
- *
- * @param {Object} obj - The object to be formatted.
- * @returns {Object} The formatted object.
- *
- * Handles different types:
- * - Arrays are wrapped in list_val and each element is processed.
- * - Objects are recursively processed.
- * - Strings are wrapped in string_val.
- * - Numbers are wrapped in float_val or int_val depending on whether they are floating-point or integers.
- */
-function formatGoogleInputs(obj) {
-  const formattedObj = {};
-
-  for (const key in obj) {
-    if (Object.prototype.hasOwnProperty.call(obj, key)) {
-      const value = obj[key];
-
-      // Handle arrays
-      if (Array.isArray(value)) {
-        formattedObj[key] = { list_val: value.map((item) => formatGoogleInputs(item)) };
-      }
-      // Handle objects
-      else if (typeof value === 'object' && value !== null) {
-        formattedObj[key] = formatGoogleInputs(value);
-      }
-      // Handle numbers
-      else if (typeof value === 'number') {
-        formattedObj[key] = Number.isInteger(value) ? { int_val: value } : { float_val: value };
-      }
-      // Handle other types (e.g., strings)
-      else {
-        formattedObj[key] = { string_val: [value] };
-      }
-    }
-  }
-
-  return { struct_val: formattedObj };
-}
-
-module.exports = formatGoogleInputs;

api/app/clients/prompts/formatGoogleInputs.spec.js

@@ -1,274 +0,0 @@
-const formatGoogleInputs = require('./formatGoogleInputs');
-
-describe('formatGoogleInputs', () => {
-  it('formats message correctly', () => {
-    const input = {
-      messages: [
-        {
-          content: 'hi',
-          author: 'user',
-        },
-      ],
-      context: 'context',
-      examples: [
-        {
-          input: {
-            author: 'user',
-            content: 'user input',
-          },
-          output: {
-            author: 'bot',
-            content: 'bot output',
-          },
-        },
-      ],
-      parameters: {
-        temperature: 0.2,
-        topP: 0.8,
-        topK: 40,
-        maxOutputTokens: 1024,
-      },
-    };
-
-    const expectedOutput = {
-      struct_val: {
-        messages: {
-          list_val: [
-            {
-              struct_val: {
-                content: {
-                  string_val: ['hi'],
-                },
-                author: {
-                  string_val: ['user'],
-                },
-              },
-            },
-          ],
-        },
-        context: {
-          string_val: ['context'],
-        },
-        examples: {
-          list_val: [
-            {
-              struct_val: {
-                input: {
-                  struct_val: {
-                    author: {
-                      string_val: ['user'],
-                    },
-                    content: {
-                      string_val: ['user input'],
-                    },
-                  },
-                },
-                output: {
-                  struct_val: {
-                    author: {
-                      string_val: ['bot'],
-                    },
-                    content: {
-                      string_val: ['bot output'],
-                    },
-                  },
-                },
-              },
-            },
-          ],
-        },
-        parameters: {
-          struct_val: {
-            temperature: {
-              float_val: 0.2,
-            },
-            topP: {
-              float_val: 0.8,
-            },
-            topK: {
-              int_val: 40,
-            },
-            maxOutputTokens: {
-              int_val: 1024,
-            },
-          },
-        },
-      },
-    };
-
-    const result = formatGoogleInputs(input);
-    expect(JSON.stringify(result)).toEqual(JSON.stringify(expectedOutput));
-  });
-
-  it('formats real payload parts', () => {
-    const input = {
-      instances: [
-        {
-          context: 'context',
-          examples: [
-            {
-              input: {
-                author: 'user',
-                content: 'user input',
-              },
-              output: {
-                author: 'bot',
-                content: 'user output',
-              },
-            },
-          ],
-          messages: [
-            {
-              author: 'user',
-              content: 'hi',
-            },
-          ],
-        },
-      ],
-      parameters: {
-        candidateCount: 1,
-        maxOutputTokens: 1024,
-        temperature: 0.2,
-        topP: 0.8,
-        topK: 40,
-      },
-    };
-    const expectedOutput = {
-      struct_val: {
-        instances: {
-          list_val: [
-            {
-              struct_val: {
-                context: { string_val: ['context'] },
-                examples: {
-                  list_val: [
-                    {
-                      struct_val: {
-                        input: {
-                          struct_val: {
-                            author: { string_val: ['user'] },
-                            content: { string_val: ['user input'] },
-                          },
-                        },
-                        output: {
-                          struct_val: {
-                            author: { string_val: ['bot'] },
-                            content: { string_val: ['user output'] },
-                          },
-                        },
-                      },
-                    },
-                  ],
-                },
-                messages: {
-                  list_val: [
-                    {
-                      struct_val: {
-                        author: { string_val: ['user'] },
-                        content: { string_val: ['hi'] },
-                      },
-                    },
-                  ],
-                },
-              },
-            },
-          ],
-        },
-        parameters: {
-          struct_val: {
-            candidateCount: { int_val: 1 },
-            maxOutputTokens: { int_val: 1024 },
-            temperature: { float_val: 0.2 },
-            topP: { float_val: 0.8 },
-            topK: { int_val: 40 },
-          },
-        },
-      },
-    };
-
-    const result = formatGoogleInputs(input);
-    expect(JSON.stringify(result)).toEqual(JSON.stringify(expectedOutput));
-  });
-
-  it('helps create valid payload parts', () => {
-    const instances = {
-      context: 'context',
-      examples: [
-        {
-          input: {
-            author: 'user',
-            content: 'user input',
-          },
-          output: {
-            author: 'bot',
-            content: 'user output',
-          },
-        },
-      ],
-      messages: [
-        {
-          author: 'user',
-          content: 'hi',
-        },
-      ],
-    };
-
-    const expectedInstances = {
-      struct_val: {
-        context: { string_val: ['context'] },
-        examples: {
-          list_val: [
-            {
-              struct_val: {
-                input: {
-                  struct_val: {
-                    author: { string_val: ['user'] },
-                    content: { string_val: ['user input'] },
-                  },
-                },
-                output: {
-                  struct_val: {
-                    author: { string_val: ['bot'] },
-                    content: { string_val: ['user output'] },
-                  },
-                },
-              },
-            },
-          ],
-        },
-        messages: {
-          list_val: [
-            {
-              struct_val: {
-                author: { string_val: ['user'] },
-                content: { string_val: ['hi'] },
-              },
-            },
-          ],
-        },
-      },
-    };
-
-    const parameters = {
-      candidateCount: 1,
-      maxOutputTokens: 1024,
-      temperature: 0.2,
-      topP: 0.8,
-      topK: 40,
-    };
-    const expectedParameters = {
-      struct_val: {
-        candidateCount: { int_val: 1 },
-        maxOutputTokens: { int_val: 1024 },
-        temperature: { float_val: 0.2 },
-        topP: { float_val: 0.8 },
-        topK: { int_val: 40 },
-      },
-    };
-
-    const instancesResult = formatGoogleInputs(instances);
-    const parametersResult = formatGoogleInputs(parameters);
-    expect(JSON.stringify(instancesResult)).toEqual(JSON.stringify(expectedInstances));
-    expect(JSON.stringify(parametersResult)).toEqual(JSON.stringify(expectedParameters));
-  });
-});

api/app/clients/prompts/formatMessages.js

@@ -1,245 +0,0 @@
-const { ToolMessage } = require('@langchain/core/messages');
-const { EModelEndpoint, ContentTypes } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
-
-/**
- * Formats a message to OpenAI Vision API payload format.
- *
- * @param {Object} params - The parameters for formatting.
- * @param {Object} params.message - The message object to format.
- * @param {string} [params.message.role] - The role of the message sender (must be 'user').
- * @param {string} [params.message.content] - The text content of the message.
- * @param {EModelEndpoint} [params.endpoint] - Identifier for specific endpoint handling
- * @param {Array<string>} [params.image_urls] - The image_urls to attach to the message.
- * @returns {(Object)} - The formatted message.
- */
-const formatVisionMessage = ({ message, image_urls, endpoint }) => {
-  if (endpoint === EModelEndpoint.anthropic) {
-    message.content = [...image_urls, { type: ContentTypes.TEXT, text: message.content }];
-    return message;
-  }
-
-  message.content = [{ type: ContentTypes.TEXT, text: message.content }, ...image_urls];
-
-  return message;
-};
-
-/**
- * Formats a message to OpenAI payload format based on the provided options.
- *
- * @param {Object} params - The parameters for formatting.
- * @param {Object} params.message - The message object to format.
- * @param {string} [params.message.role] - The role of the message sender (e.g., 'user', 'assistant').
- * @param {string} [params.message._name] - The name associated with the message.
- * @param {string} [params.message.sender] - The sender of the message.
- * @param {string} [params.message.text] - The text content of the message.
- * @param {string} [params.message.content] - The content of the message.
- * @param {Array<string>} [params.message.image_urls] - The image_urls attached to the message for Vision API.
- * @param {string} [params.userName] - The name of the user.
- * @param {string} [params.assistantName] - The name of the assistant.
- * @param {string} [params.endpoint] - Identifier for specific endpoint handling
- * @param {boolean} [params.langChain=false] - Whether to return a LangChain message object.
- * @returns {(Object|HumanMessage|AIMessage|SystemMessage)} - The formatted message.
- */
-const formatMessage = ({ message, userName, assistantName, endpoint, langChain = false }) => {
-  let { role: _role, _name, sender, text, content: _content, lc_id } = message;
-  if (lc_id && lc_id[2] && !langChain) {
-    const roleMapping = {
-      SystemMessage: 'system',
-      HumanMessage: 'user',
-      AIMessage: 'assistant',
-    };
-    _role = roleMapping[lc_id[2]];
-  }
-  const role = _role ?? (sender && sender?.toLowerCase() === 'user' ? 'user' : 'assistant');
-  const content = _content ?? text ?? '';
-  const formattedMessage = {
-    role,
-    content,
-  };
-
-  const { image_urls } = message;
-  if (Array.isArray(image_urls) && image_urls.length > 0 && role === 'user') {
-    return formatVisionMessage({
-      message: formattedMessage,
-      image_urls: message.image_urls,
-      endpoint,
-    });
-  }
-
-  if (_name) {
-    formattedMessage.name = _name;
-  }
-
-  if (userName && formattedMessage.role === 'user') {
-    formattedMessage.name = userName;
-  }
-
-  if (assistantName && formattedMessage.role === 'assistant') {
-    formattedMessage.name = assistantName;
-  }
-
-  if (formattedMessage.name) {
-    // Conform to API regex: ^[a-zA-Z0-9_-]{1,64}$
-    // https://community.openai.com/t/the-format-of-the-name-field-in-the-documentation-is-incorrect/175684/2
-    formattedMessage.name = formattedMessage.name.replace(/[^a-zA-Z0-9_-]/g, '_');
-
-    if (formattedMessage.name.length > 64) {
-      formattedMessage.name = formattedMessage.name.substring(0, 64);
-    }
-  }
-
-  if (!langChain) {
-    return formattedMessage;
-  }
-
-  if (role === 'user') {
-    return new HumanMessage(formattedMessage);
-  } else if (role === 'assistant') {
-    return new AIMessage(formattedMessage);
-  } else {
-    return new SystemMessage(formattedMessage);
-  }
-};
-
-/**
- * Formats an array of messages for LangChain.
- *
- * @param {Array<Object>} messages - The array of messages to format.
- * @param {Object} formatOptions - The options for formatting each message.
- * @param {string} [formatOptions.userName] - The name of the user.
- * @param {string} [formatOptions.assistantName] - The name of the assistant.
- * @returns {Array<(HumanMessage|AIMessage|SystemMessage)>} - The array of formatted LangChain messages.
- */
-const formatLangChainMessages = (messages, formatOptions) =>
-  messages.map((msg) => formatMessage({ ...formatOptions, message: msg, langChain: true }));
-
-/**
- * Formats a LangChain message object by merging properties from `lc_kwargs` or `kwargs` and `additional_kwargs`.
- *
- * @param {Object} message - The message object to format.
- * @param {Object} [message.lc_kwargs] - Contains properties to be merged. Either this or `message.kwargs` should be provided.
- * @param {Object} [message.kwargs] - Contains properties to be merged. Either this or `message.lc_kwargs` should be provided.
- * @param {Object} [message.kwargs.additional_kwargs] - Additional properties to be merged.
- *
- * @returns {Object} The formatted LangChain message.
- */
-const formatFromLangChain = (message) => {
-  const { additional_kwargs, ...message_kwargs } = message.lc_kwargs ?? message.kwargs;
-  return {
-    ...message_kwargs,
-    ...additional_kwargs,
-  };
-};
-
-/**
- * Formats an array of messages for LangChain, handling tool calls and creating ToolMessage instances.
- *
- * @param {Array<Partial<TMessage>>} payload - The array of messages to format.
- * @returns {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} - The array of formatted LangChain messages, including ToolMessages for tool calls.
- */
-const formatAgentMessages = (payload) => {
-  const messages = [];
-
-  for (const message of payload) {
-    if (typeof message.content === 'string') {
-      message.content = [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: message.content }];
-    }
-    if (message.role !== 'assistant') {
-      messages.push(formatMessage({ message, langChain: true }));
-      continue;
-    }
-
-    let currentContent = [];
-    let lastAIMessage = null;
-
-    let hasReasoning = false;
-    for (const part of message.content) {
-      if (part.type === ContentTypes.TEXT && part.tool_call_ids) {
-        /*
-        If there's pending content, it needs to be aggregated as a single string to prepare for tool calls.
-        For Anthropic models, the "tool_calls" field on a message is only respected if content is a string.
-         */
-        if (currentContent.length > 0) {
-          let content = currentContent.reduce((acc, curr) => {
-            if (curr.type === ContentTypes.TEXT) {
-              return `${acc}${curr[ContentTypes.TEXT]}\n`;
-            }
-            return acc;
-          }, '');
-          content = `${content}\n${part[ContentTypes.TEXT] ?? ''}`.trim();
-          lastAIMessage = new AIMessage({ content });
-          messages.push(lastAIMessage);
-          currentContent = [];
-          continue;
-        }
-
-        // Create a new AIMessage with this text and prepare for tool calls
-        lastAIMessage = new AIMessage({
-          content: part.text || '',
-        });
-
-        messages.push(lastAIMessage);
-      } else if (part.type === ContentTypes.TOOL_CALL) {
-        if (!lastAIMessage) {
-          throw new Error('Invalid tool call structure: No preceding AIMessage with tool_call_ids');
-        }
-
-        // Note: `tool_calls` list is defined when constructed by `AIMessage` class, and outputs should be excluded from it
-        const { output, args: _args, ...tool_call } = part.tool_call;
-        // TODO: investigate; args as dictionary may need to be provider-or-tool-specific
-        let args = _args;
-        try {
-          args = JSON.parse(_args);
-        } catch (e) {
-          if (typeof _args === 'string') {
-            args = { input: _args };
-          }
-        }
-
-        tool_call.args = args;
-        lastAIMessage.tool_calls.push(tool_call);
-
-        // Add the corresponding ToolMessage
-        messages.push(
-          new ToolMessage({
-            tool_call_id: tool_call.id,
-            name: tool_call.name,
-            content: output || '',
-          }),
-        );
-      } else if (part.type === ContentTypes.THINK) {
-        hasReasoning = true;
-        continue;
-      } else if (part.type === ContentTypes.ERROR || part.type === ContentTypes.AGENT_UPDATE) {
-        continue;
-      } else {
-        currentContent.push(part);
-      }
-    }
-
-    if (hasReasoning) {
-      currentContent = currentContent
-        .reduce((acc, curr) => {
-          if (curr.type === ContentTypes.TEXT) {
-            return `${acc}${curr[ContentTypes.TEXT]}\n`;
-          }
-          return acc;
-        }, '')
-        .trim();
-    }
-
-    if (currentContent.length > 0) {
-      messages.push(new AIMessage({ content: currentContent }));
-    }
-  }
-
-  return messages;
-};
-
-module.exports = {
-  formatMessage,
-  formatFromLangChain,
-  formatAgentMessages,
-  formatLangChainMessages,
-};

api/app/clients/prompts/formatMessages.spec.js

@@ -1,276 +0,0 @@
-const { Constants } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
-const { formatMessage, formatLangChainMessages, formatFromLangChain } = require('./formatMessages');
-
-describe('formatMessage', () => {
-  it('formats user message', () => {
-    const input = {
-      message: {
-        sender: 'user',
-        text: 'Hello',
-      },
-      userName: 'John',
-    };
-    const result = formatMessage(input);
-    expect(result).toEqual({
-      role: 'user',
-      content: 'Hello',
-      name: 'John',
-    });
-  });
-
-  it('sanitizes the name by replacing invalid characters (per OpenAI)', () => {
-    const input = {
-      message: {
-        sender: 'user',
-        text: 'Hello',
-      },
-      userName: ' John$Doe@Example! ',
-    };
-    const result = formatMessage(input);
-    expect(result).toEqual({
-      role: 'user',
-      content: 'Hello',
-      name: '_John_Doe_Example__',
-    });
-  });
-
-  it('trims the name to a maximum length of 64 characters', () => {
-    const longName = 'a'.repeat(100);
-    const input = {
-      message: {
-        sender: 'user',
-        text: 'Hello',
-      },
-      userName: longName,
-    };
-    const result = formatMessage(input);
-    expect(result.name.length).toBe(64);
-    expect(result.name).toBe('a'.repeat(64));
-  });
-
-  it('formats a realistic user message', () => {
-    const input = {
-      message: {
-        _id: '6512cdfb92cbf69fea615331',
-        messageId: 'b620bf73-c5c3-4a38-b724-76886aac24c4',
-        __v: 0,
-        conversationId: '5c23d24f-941f-4aab-85df-127b596c8aa5',
-        createdAt: Date.now(),
-        error: false,
-        finish_reason: null,
-        isCreatedByUser: true,
-        model: null,
-        parentMessageId: Constants.NO_PARENT,
-        sender: 'User',
-        text: 'hi',
-        tokenCount: 5,
-        unfinished: false,
-        updatedAt: Date.now(),
-        user: '6512cdf475f05c86d44c31d2',
-      },
-      userName: 'John',
-    };
-    const result = formatMessage(input);
-    expect(result).toEqual({
-      role: 'user',
-      content: 'hi',
-      name: 'John',
-    });
-  });
-
-  it('formats assistant message', () => {
-    const input = {
-      message: {
-        sender: 'assistant',
-        text: 'Hi there',
-      },
-      assistantName: 'Assistant',
-    };
-    const result = formatMessage(input);
-    expect(result).toEqual({
-      role: 'assistant',
-      content: 'Hi there',
-      name: 'Assistant',
-    });
-  });
-
-  it('formats system message', () => {
-    const input = {
-      message: {
-        role: 'system',
-        text: 'Hi there',
-      },
-    };
-    const result = formatMessage(input);
-    expect(result).toEqual({
-      role: 'system',
-      content: 'Hi there',
-    });
-  });
-
-  it('formats user message with langChain', () => {
-    const input = {
-      message: {
-        sender: 'user',
-        text: 'Hello',
-      },
-      userName: 'John',
-      langChain: true,
-    };
-    const result = formatMessage(input);
-    expect(result).toBeInstanceOf(HumanMessage);
-    expect(result.lc_kwargs.content).toEqual(input.message.text);
-    expect(result.lc_kwargs.name).toEqual(input.userName);
-  });
-
-  it('formats assistant message with langChain', () => {
-    const input = {
-      message: {
-        sender: 'assistant',
-        text: 'Hi there',
-      },
-      assistantName: 'Assistant',
-      langChain: true,
-    };
-    const result = formatMessage(input);
-    expect(result).toBeInstanceOf(AIMessage);
-    expect(result.lc_kwargs.content).toEqual(input.message.text);
-    expect(result.lc_kwargs.name).toEqual(input.assistantName);
-  });
-
-  it('formats system message with langChain', () => {
-    const input = {
-      message: {
-        role: 'system',
-        text: 'This is a system message.',
-      },
-      langChain: true,
-    };
-    const result = formatMessage(input);
-    expect(result).toBeInstanceOf(SystemMessage);
-    expect(result.lc_kwargs.content).toEqual(input.message.text);
-  });
-
-  it('formats langChain messages into OpenAI payload format', () => {
-    const human = {
-      message: new HumanMessage({
-        content: 'Hello',
-      }),
-    };
-    const system = {
-      message: new SystemMessage({
-        content: 'Hello',
-      }),
-    };
-    const ai = {
-      message: new AIMessage({
-        content: 'Hello',
-      }),
-    };
-    const humanResult = formatMessage(human);
-    const systemResult = formatMessage(system);
-    const aiResult = formatMessage(ai);
-    expect(humanResult).toEqual({
-      role: 'user',
-      content: 'Hello',
-    });
-    expect(systemResult).toEqual({
-      role: 'system',
-      content: 'Hello',
-    });
-    expect(aiResult).toEqual({
-      role: 'assistant',
-      content: 'Hello',
-    });
-  });
-});
-
-describe('formatLangChainMessages', () => {
-  it('formats an array of messages for LangChain', () => {
-    const messages = [
-      {
-        role: 'system',
-        content: 'This is a system message',
-      },
-      {
-        sender: 'user',
-        text: 'Hello',
-      },
-      {
-        sender: 'assistant',
-        text: 'Hi there',
-      },
-    ];
-    const formatOptions = {
-      userName: 'John',
-      assistantName: 'Assistant',
-    };
-    const result = formatLangChainMessages(messages, formatOptions);
-    expect(result).toHaveLength(3);
-    expect(result[0]).toBeInstanceOf(SystemMessage);
-    expect(result[1]).toBeInstanceOf(HumanMessage);
-    expect(result[2]).toBeInstanceOf(AIMessage);
-
-    expect(result[0].lc_kwargs.content).toEqual(messages[0].content);
-    expect(result[1].lc_kwargs.content).toEqual(messages[1].text);
-    expect(result[2].lc_kwargs.content).toEqual(messages[2].text);
-
-    expect(result[1].lc_kwargs.name).toEqual(formatOptions.userName);
-    expect(result[2].lc_kwargs.name).toEqual(formatOptions.assistantName);
-  });
-
-  describe('formatFromLangChain', () => {
-    it('should merge kwargs and additional_kwargs', () => {
-      const message = {
-        kwargs: {
-          content: 'some content',
-          name: 'dan',
-          additional_kwargs: {
-            function_call: {
-              name: 'dall-e',
-              arguments: '{\n  "input": "Subject: hedgehog, Style: cute"\n}',
-            },
-          },
-        },
-      };
-
-      const expected = {
-        content: 'some content',
-        name: 'dan',
-        function_call: {
-          name: 'dall-e',
-          arguments: '{\n  "input": "Subject: hedgehog, Style: cute"\n}',
-        },
-      };
-
-      expect(formatFromLangChain(message)).toEqual(expected);
-    });
-
-    it('should handle messages without additional_kwargs', () => {
-      const message = {
-        kwargs: {
-          content: 'some content',
-          name: 'dan',
-        },
-      };
-
-      const expected = {
-        content: 'some content',
-        name: 'dan',
-      };
-
-      expect(formatFromLangChain(message)).toEqual(expected);
-    });
-
-    it('should handle empty messages', () => {
-      const message = {
-        kwargs: {},
-      };
-
-      const expected = {};
-
-      expect(formatFromLangChain(message)).toEqual(expected);
-    });
-  });
-});

api/app/clients/prompts/handleInputs.js

@@ -1,38 +0,0 @@
-// Escaping curly braces is necessary for LangChain to correctly process the prompt
-function escapeBraces(str) {
-  return str
-    .replace(/({{2,})|(}{2,})/g, (match) => `${match[0]}`)
-    .replace(/{|}/g, (match) => `${match}${match}`);
-}
-
-function getSnippet(text) {
-  let limit = 50;
-  let splitText = escapeBraces(text).split(' ');
-
-  if (splitText.length === 1 && splitText[0].length > limit) {
-    return splitText[0].substring(0, limit);
-  }
-
-  let result = '';
-  let spaceCount = 0;
-
-  for (let i = 0; i < splitText.length; i++) {
-    if (result.length + splitText[i].length <= limit) {
-      result += splitText[i] + ' ';
-      spaceCount++;
-    } else {
-      break;
-    }
-
-    if (spaceCount == 10) {
-      break;
-    }
-  }
-
-  return result.trim();
-}
-
-module.exports = {
-  escapeBraces,
-  getSnippet,
-};

api/app/clients/prompts/index.js

@@ -1,17 +0,0 @@
-const formatMessages = require('./formatMessages');
-const summaryPrompts = require('./summaryPrompts');
-const handleInputs = require('./handleInputs');
-const instructions = require('./instructions');
-const truncate = require('./truncate');
-const createVisionPrompt = require('./createVisionPrompt');
-const createContextHandlers = require('./createContextHandlers');
-
-module.exports = {
-  ...formatMessages,
-  ...summaryPrompts,
-  ...handleInputs,
-  ...instructions,
-  ...truncate,
-  createVisionPrompt,
-  createContextHandlers,
-};

api/app/clients/prompts/instructions.js

@@ -1,10 +0,0 @@
-module.exports = {
-  instructions:
-    'Remember, all your responses MUST be in the format described. Do not respond unless it\'s in the format described, using the structure of Action, Action Input, etc.',
-  errorInstructions:
-    '\nYou encountered an error in attempting a response. The user is not aware of the error so you shouldn\'t mention it.\nReview the actions taken carefully in case there is a partial or complete answer within them.\nError Message:',
-  imageInstructions:
-    'You must include the exact image paths from above, formatted in Markdown syntax: ![alt-text](URL)',
-  completionInstructions:
-    'Instructions:\nYou are ChatGPT, a large language model trained by OpenAI. Respond conversationally.\nCurrent date:',
-};

api/app/clients/prompts/shadcn-docs/components.js

@@ -1,495 +0,0 @@
-// Essential Components
-const essentialComponents = {
-  avatar: {
-    componentName: 'Avatar',
-    importDocs: 'import { Avatar, AvatarFallback, AvatarImage } from "/components/ui/avatar"',
-    usageDocs: `
-<Avatar>
-  <AvatarImage src="https://github.com/shadcn.png" />
-  <AvatarFallback>CN</AvatarFallback>
-</Avatar>`,
-  },
-  button: {
-    componentName: 'Button',
-    importDocs: 'import { Button } from "/components/ui/button"',
-    usageDocs: `
-<Button variant="outline">Button</Button>`,
-  },
-  card: {
-    componentName: 'Card',
-    importDocs: `
-import {
-  Card,
-  CardContent,
-  CardDescription,
-  CardFooter,
-  CardHeader,
-  CardTitle,
-} from "/components/ui/card"`,
-    usageDocs: `
-<Card>
-  <CardHeader>
-    <CardTitle>Card Title</CardTitle>
-    <CardDescription>Card Description</CardDescription>
-  </CardHeader>
-  <CardContent>
-    <p>Card Content</p>
-  </CardContent>
-  <CardFooter>
-    <p>Card Footer</p>
-  </CardFooter>
-</Card>`,
-  },
-  checkbox: {
-    componentName: 'Checkbox',
-    importDocs: 'import { Checkbox } from "/components/ui/checkbox"',
-    usageDocs: '<Checkbox />',
-  },
-  input: {
-    componentName: 'Input',
-    importDocs: 'import { Input } from "/components/ui/input"',
-    usageDocs: '<Input />',
-  },
-  label: {
-    componentName: 'Label',
-    importDocs: 'import { Label } from "/components/ui/label"',
-    usageDocs: '<Label htmlFor="email">Your email address</Label>',
-  },
-  radioGroup: {
-    componentName: 'RadioGroup',
-    importDocs: `
-import { Label } from "/components/ui/label"
-import { RadioGroup, RadioGroupItem } from "/components/ui/radio-group"`,
-    usageDocs: `
-<RadioGroup defaultValue="option-one">
-  <div className="flex items-center space-x-2">
-    <RadioGroupItem value="option-one" id="option-one" />
-    <Label htmlFor="option-one">Option One</Label>
-  </div>
-  <div className="flex items-center space-x-2">
-    <RadioGroupItem value="option-two" id="option-two" />
-    <Label htmlFor="option-two">Option Two</Label>
-  </div>
-</RadioGroup>`,
-  },
-  select: {
-    componentName: 'Select',
-    importDocs: `
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "/components/ui/select"`,
-    usageDocs: `
-<Select>
-  <SelectTrigger className="w-[180px]">
-    <SelectValue placeholder="Theme" />
-  </SelectTrigger>
-  <SelectContent>
-    <SelectItem value="light">Light</SelectItem>
-    <SelectItem value="dark">Dark</SelectItem>
-    <SelectItem value="system">System</SelectItem>
-  </SelectContent>
-</Select>`,
-  },
-  textarea: {
-    componentName: 'Textarea',
-    importDocs: 'import { Textarea } from "/components/ui/textarea"',
-    usageDocs: '<Textarea />',
-  },
-};
-
-// Extra Components
-const extraComponents = {
-  accordion: {
-    componentName: 'Accordion',
-    importDocs: `
-import {
-  Accordion,
-  AccordionContent,
-  AccordionItem,
-  AccordionTrigger,
-} from "/components/ui/accordion"`,
-    usageDocs: `
-<Accordion type="single" collapsible>
-  <AccordionItem value="item-1">
-    <AccordionTrigger>Is it accessible?</AccordionTrigger>
-    <AccordionContent>
-      Yes. It adheres to the WAI-ARIA design pattern.
-    </AccordionContent>
-  </AccordionItem>
-</Accordion>`,
-  },
-  alertDialog: {
-    componentName: 'AlertDialog',
-    importDocs: `
-import {
-  AlertDialog,
-  AlertDialogAction,
-  AlertDialogCancel,
-  AlertDialogContent,
-  AlertDialogDescription,
-  AlertDialogFooter,
-  AlertDialogHeader,
-  AlertDialogTitle,
-  AlertDialogTrigger,
-} from "/components/ui/alert-dialog"`,
-    usageDocs: `
-<AlertDialog>
-  <AlertDialogTrigger>Open</AlertDialogTrigger>
-  <AlertDialogContent>
-    <AlertDialogHeader>
-      <AlertDialogTitle>Are you absolutely sure?</AlertDialogTitle>
-      <AlertDialogDescription>
-        This action cannot be undone.
-      </AlertDialogDescription>
-    </AlertDialogHeader>
-    <AlertDialogFooter>
-      <AlertDialogCancel>Cancel</AlertDialogCancel>
-      <AlertDialogAction>Continue</AlertDialogAction>
-    </AlertDialogFooter>
-  </AlertDialogContent>
-</AlertDialog>`,
-  },
-  alert: {
-    componentName: 'Alert',
-    importDocs: `
-import {
-  Alert,
-  AlertDescription,
-  AlertTitle,
-} from "/components/ui/alert"`,
-    usageDocs: `
-<Alert>
-  <AlertTitle>Heads up!</AlertTitle>
-  <AlertDescription>
-    You can add components to your app using the cli.
-  </AlertDescription>
-</Alert>`,
-  },
-  aspectRatio: {
-    componentName: 'AspectRatio',
-    importDocs: 'import { AspectRatio } from "/components/ui/aspect-ratio"',
-    usageDocs: `
-<AspectRatio ratio={16 / 9}>
-  <Image src="..." alt="Image" className="rounded-md object-cover" />
-</AspectRatio>`,
-  },
-  badge: {
-    componentName: 'Badge',
-    importDocs: 'import { Badge } from "/components/ui/badge"',
-    usageDocs: '<Badge>Badge</Badge>',
-  },
-  calendar: {
-    componentName: 'Calendar',
-    importDocs: 'import { Calendar } from "/components/ui/calendar"',
-    usageDocs: '<Calendar />',
-  },
-  carousel: {
-    componentName: 'Carousel',
-    importDocs: `
-import {
-  Carousel,
-  CarouselContent,
-  CarouselItem,
-  CarouselNext,
-  CarouselPrevious,
-} from "/components/ui/carousel"`,
-    usageDocs: `
-<Carousel>
-  <CarouselContent>
-    <CarouselItem>...</CarouselItem>
-    <CarouselItem>...</CarouselItem>
-    <CarouselItem>...</CarouselItem>
-  </CarouselContent>
-  <CarouselPrevious />
-  <CarouselNext />
-</Carousel>`,
-  },
-  collapsible: {
-    componentName: 'Collapsible',
-    importDocs: `
-import {
-  Collapsible,
-  CollapsibleContent,
-  CollapsibleTrigger,
-} from "/components/ui/collapsible"`,
-    usageDocs: `
-<Collapsible>
-  <CollapsibleTrigger>Can I use this in my project?</CollapsibleTrigger>
-  <CollapsibleContent>
-    Yes. Free to use for personal and commercial projects. No attribution required.
-  </CollapsibleContent>
-</Collapsible>`,
-  },
-  dialog: {
-    componentName: 'Dialog',
-    importDocs: `
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogHeader,
-  DialogTitle,
-  DialogTrigger,
-} from "/components/ui/dialog"`,
-    usageDocs: `
-<Dialog>
-  <DialogTrigger>Open</DialogTrigger>
-  <DialogContent>
-    <DialogHeader>
-      <DialogTitle>Are you sure absolutely sure?</DialogTitle>
-      <DialogDescription>
-        This action cannot be undone.
-      </DialogDescription>
-    </DialogHeader>
-  </DialogContent>
-</Dialog>`,
-  },
-  dropdownMenu: {
-    componentName: 'DropdownMenu',
-    importDocs: `
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuLabel,
-  DropdownMenuSeparator,
-  DropdownMenuTrigger,
-} from "/components/ui/dropdown-menu"`,
-    usageDocs: `
-<DropdownMenu>
-  <DropdownMenuTrigger>Open</DropdownMenuTrigger>
-  <DropdownMenuContent>
-    <DropdownMenuLabel>My Account</DropdownMenuLabel>
-    <DropdownMenuSeparator />
-    <DropdownMenuItem>Profile</DropdownMenuItem>
-    <DropdownMenuItem>Billing</DropdownMenuItem>
-    <DropdownMenuItem>Team</DropdownMenuItem>
-    <DropdownMenuItem>Subscription</DropdownMenuItem>
-  </DropdownMenuContent>
-</DropdownMenu>`,
-  },
-  menubar: {
-    componentName: 'Menubar',
-    importDocs: `
-import {
-  Menubar,
-  MenubarContent,
-  MenubarItem,
-  MenubarMenu,
-  MenubarSeparator,
-  MenubarShortcut,
-  MenubarTrigger,
-} from "/components/ui/menubar"`,
-    usageDocs: `
-<Menubar>
-  <MenubarMenu>
-    <MenubarTrigger>File</MenubarTrigger>
-    <MenubarContent>
-      <MenubarItem>
-        New Tab <MenubarShortcut>⌘T</MenubarShortcut>
-      </MenubarItem>
-      <MenubarItem>New Window</MenubarItem>
-      <MenubarSeparator />
-      <MenubarItem>Share</MenubarItem>
-      <MenubarSeparator />
-      <MenubarItem>Print</MenubarItem>
-    </MenubarContent>
-  </MenubarMenu>
-</Menubar>`,
-  },
-  navigationMenu: {
-    componentName: 'NavigationMenu',
-    importDocs: `
-import {
-  NavigationMenu,
-  NavigationMenuContent,
-  NavigationMenuItem,
-  NavigationMenuLink,
-  NavigationMenuList,
-  NavigationMenuTrigger,
-  navigationMenuTriggerStyle,
-} from "/components/ui/navigation-menu"`,
-    usageDocs: `
-<NavigationMenu>
-  <NavigationMenuList>
-    <NavigationMenuItem>
-      <NavigationMenuTrigger>Item One</NavigationMenuTrigger>
-      <NavigationMenuContent>
-        <NavigationMenuLink>Link</NavigationMenuLink>
-      </NavigationMenuContent>
-    </NavigationMenuItem>
-  </NavigationMenuList>
-</NavigationMenu>`,
-  },
-  popover: {
-    componentName: 'Popover',
-    importDocs: `
-import {
-  Popover,
-  PopoverContent,
-  PopoverTrigger,
-} from "/components/ui/popover"`,
-    usageDocs: `
-<Popover>
-  <PopoverTrigger>Open</PopoverTrigger>
-  <PopoverContent>Place content for the popover here.</PopoverContent>
-</Popover>`,
-  },
-  progress: {
-    componentName: 'Progress',
-    importDocs: 'import { Progress } from "/components/ui/progress"',
-    usageDocs: '<Progress value={33} />',
-  },
-  separator: {
-    componentName: 'Separator',
-    importDocs: 'import { Separator } from "/components/ui/separator"',
-    usageDocs: '<Separator />',
-  },
-  sheet: {
-    componentName: 'Sheet',
-    importDocs: `
-import {
-  Sheet,
-  SheetContent,
-  SheetDescription,
-  SheetHeader,
-  SheetTitle,
-  SheetTrigger,
-} from "/components/ui/sheet"`,
-    usageDocs: `
-<Sheet>
-  <SheetTrigger>Open</SheetTrigger>
-  <SheetContent>
-    <SheetHeader>
-      <SheetTitle>Are you sure absolutely sure?</SheetTitle>
-      <SheetDescription>
-        This action cannot be undone.
-      </SheetDescription>
-    </SheetHeader>
-  </SheetContent>
-</Sheet>`,
-  },
-  skeleton: {
-    componentName: 'Skeleton',
-    importDocs: 'import { Skeleton } from "/components/ui/skeleton"',
-    usageDocs: '<Skeleton className="w-[100px] h-[20px] rounded-full" />',
-  },
-  slider: {
-    componentName: 'Slider',
-    importDocs: 'import { Slider } from "/components/ui/slider"',
-    usageDocs: '<Slider defaultValue={[33]} max={100} step={1} />',
-  },
-  switch: {
-    componentName: 'Switch',
-    importDocs: 'import { Switch } from "/components/ui/switch"',
-    usageDocs: '<Switch />',
-  },
-  table: {
-    componentName: 'Table',
-    importDocs: `
-import {
-  Table,
-  TableBody,
-  TableCaption,
-  TableCell,
-  TableHead,
-  TableHeader,
-  TableRow,
-} from "/components/ui/table"`,
-    usageDocs: `
-<Table>
-  <TableCaption>A list of your recent invoices.</TableCaption>
-  <TableHeader>
-    <TableRow>
-      <TableHead className="w-[100px]">Invoice</TableHead>
-      <TableHead>Status</TableHead>
-      <TableHead>Method</TableHead>
-      <TableHead className="text-right">Amount</TableHead>
-    </TableRow>
-  </TableHeader>
-  <TableBody>
-    <TableRow>
-      <TableCell className="font-medium">INV001</TableCell>
-      <TableCell>Paid</TableCell>
-      <TableCell>Credit Card</TableCell>
-      <TableCell className="text-right">$250.00</TableCell>
-    </TableRow>
-  </TableBody>
-</Table>`,
-  },
-  tabs: {
-    componentName: 'Tabs',
-    importDocs: `
-import {
-  Tabs,
-  TabsContent,
-  TabsList,
-  TabsTrigger,
-} from "/components/ui/tabs"`,
-    usageDocs: `
-<Tabs defaultValue="account" className="w-[400px]">
-  <TabsList>
-    <TabsTrigger value="account">Account</TabsTrigger>
-    <TabsTrigger value="password">Password</TabsTrigger>
-  </TabsList>
-  <TabsContent value="account">Make changes to your account here.</TabsContent>
-  <TabsContent value="password">Change your password here.</TabsContent>
-</Tabs>`,
-  },
-  toast: {
-    componentName: 'Toast',
-    importDocs: `
-import { useToast } from "/components/ui/use-toast"
-import { Button } from "/components/ui/button"`,
-    usageDocs: `
-export function ToastDemo() {
-  const { toast } = useToast()
-  return (
-    <Button
-      onClick={() => {
-        toast({
-          title: "Scheduled: Catch up",
-          description: "Friday, February 10, 2023 at 5:57 PM",
-        })
-      }}
-    >
-      Show Toast
-    </Button>
-  )
-}`,
-  },
-  toggle: {
-    componentName: 'Toggle',
-    importDocs: 'import { Toggle } from "/components/ui/toggle"',
-    usageDocs: '<Toggle>Toggle</Toggle>',
-  },
-  tooltip: {
-    componentName: 'Tooltip',
-    importDocs: `
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipProvider,
-  TooltipTrigger,
-} from "/components/ui/tooltip"`,
-    usageDocs: `
-<TooltipProvider>
-  <Tooltip>
-    <TooltipTrigger>Hover</TooltipTrigger>
-    <TooltipContent>
-      <p>Add to library</p>
-    </TooltipContent>
-  </Tooltip>
-</TooltipProvider>`,
-  },
-};
-
-const components = Object.assign({}, essentialComponents, extraComponents);
-
-module.exports = {
-  components,
-};

api/app/clients/prompts/shadcn-docs/generate.js

@@ -1,50 +0,0 @@
-const dedent = require('dedent');
-
-/**
- * Generate system prompt for AI-assisted React component creation
- * @param {Object} options - Configuration options
- * @param {Object} options.components - Documentation for shadcn components
- * @param {boolean} [options.useXML=false] - Whether to use XML-style formatting for component instructions
- * @returns {string} The generated system prompt
- */
-function generateShadcnPrompt(options) {
-  const { components, useXML = false } = options;
-
-  let systemPrompt = dedent`
-    ## Additional Artifact Instructions for React Components: "application/vnd.react"
-    
-    There are some prestyled components (primitives) available for use. Please use your best judgement to use any of these components if the app calls for one.
-
-    Here are the components that are available, along with how to import them, and how to use them:
-
-    ${Object.values(components)
-    .map((component) => {
-      if (useXML) {
-        return dedent`
-            <component>
-              <name>${component.componentName}</name>
-              <import-instructions>${component.importDocs}</import-instructions>
-              <usage-instructions>${component.usageDocs}</usage-instructions>
-            </component>
-          `;
-      } else {
-        return dedent`
-            # ${component.componentName}
-
-            ## Import Instructions
-            ${component.importDocs}
-
-            ## Usage Instructions
-            ${component.usageDocs}
-          `;
-      }
-    })
-    .join('\n\n')}
-  `;
-
-  return systemPrompt;
-}
-
-module.exports = {
-  generateShadcnPrompt,
-};

api/app/clients/prompts/summaryPrompts.js

@@ -1,53 +0,0 @@
-const { PromptTemplate } = require('@langchain/core/prompts');
-/*
- * Without `{summary}` and `{new_lines}`, token count is 98
- * We are counting this towards the max context tokens for summaries, +3 for the assistant label (101)
- * If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
- */
-const _DEFAULT_SUMMARIZER_TEMPLATE = `Summarize the conversation by integrating new lines into the current summary.
-
-EXAMPLE:
-Current summary:
-The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial.
-
-New lines:
-Human: Why is it beneficial?
-AI: It helps humans achieve their potential.
-
-New summary:
-The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial because it helps humans achieve their potential.
-
-Current summary:
-{summary}
-
-New lines:
-{new_lines}
-
-New summary:`;
-
-const SUMMARY_PROMPT = new PromptTemplate({
-  inputVariables: ['summary', 'new_lines'],
-  template: _DEFAULT_SUMMARIZER_TEMPLATE,
-});
-
-/*
- * Without `{new_lines}`, token count is 27
- * We are counting this towards the max context tokens for summaries, rounded up to 30
- * If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
- */
-const _CUT_OFF_SUMMARIZER = `The following text is cut-off:
-{new_lines}
-
-Summarize the content as best as you can, noting that it was cut-off.
-
-Summary:`;
-
-const CUT_OFF_PROMPT = new PromptTemplate({
-  inputVariables: ['new_lines'],
-  template: _CUT_OFF_SUMMARIZER,
-});
-
-module.exports = {
-  SUMMARY_PROMPT,
-  CUT_OFF_PROMPT,
-};

api/app/clients/prompts/truncate.js

@@ -1,115 +0,0 @@
-const MAX_CHAR = 255;
-
-/**
- * Truncates a given text to a specified maximum length, appending ellipsis and a notification
- * if the original text exceeds the maximum length.
- *
- * @param {string} text - The text to be truncated.
- * @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
- * @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
- */
-function truncateText(text, maxLength = MAX_CHAR) {
-  if (text.length > maxLength) {
-    return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
-  }
-  return text;
-}
-
-/**
- * Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
- * separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
- * of ellipsis and notification if the original text exceeds the maximum length.
- *
- * @param {string} text - The text to be truncated.
- * @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
- * @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
- */
-function smartTruncateText(text, maxLength = MAX_CHAR) {
-  const ellipsis = '...';
-  const notification = ' [text truncated for brevity]';
-  const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
-
-  if (text.length > maxLength) {
-    const startLastHalf = text.length - halfMaxLength;
-    return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
-  }
-
-  return text;
-}
-
-/**
- * @param {TMessage[]} _messages
- * @param {number} maxContextTokens
- * @param {function({role: string, content: TMessageContent[]}): number} getTokenCountForMessage
- *
- * @returns {{
- *  dbMessages: TMessage[],
- * editedIndices: number[]
- * }}
- */
-function truncateToolCallOutputs(_messages, maxContextTokens, getTokenCountForMessage) {
-  const THRESHOLD_PERCENTAGE = 0.5;
-  const targetTokenLimit = maxContextTokens * THRESHOLD_PERCENTAGE;
-
-  let currentTokenCount = 3;
-  const messages = [..._messages];
-  const processedMessages = [];
-  let currentIndex = messages.length;
-  const editedIndices = new Set();
-  while (messages.length > 0) {
-    currentIndex--;
-    const message = messages.pop();
-    currentTokenCount += message.tokenCount;
-    if (currentTokenCount < targetTokenLimit) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    if (!message.content || !Array.isArray(message.content)) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    const toolCallIndices = message.content
-      .map((item, index) => (item.type === 'tool_call' ? index : -1))
-      .filter((index) => index !== -1)
-      .reverse();
-
-    if (toolCallIndices.length === 0) {
-      processedMessages.push(message);
-      continue;
-    }
-
-    const newContent = [...message.content];
-
-    // Truncate all tool outputs since we're over threshold
-    for (const index of toolCallIndices) {
-      const toolCall = newContent[index].tool_call;
-      if (!toolCall || !toolCall.output) {
-        continue;
-      }
-
-      editedIndices.add(currentIndex);
-
-      newContent[index] = {
-        ...newContent[index],
-        tool_call: {
-          ...toolCall,
-          output: '[OUTPUT_OMITTED_FOR_BREVITY]',
-        },
-      };
-    }
-
-    const truncatedMessage = {
-      ...message,
-      content: newContent,
-      tokenCount: getTokenCountForMessage({ role: 'assistant', content: newContent }),
-    };
-
-    processedMessages.push(truncatedMessage);
-  }
-
-  return { dbMessages: processedMessages.reverse(), editedIndices: Array.from(editedIndices) };
-}
-
-module.exports = { truncateText, smartTruncateText, truncateToolCallOutputs };

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

@@ -1,931 +0,0 @@
-const { Constants } = require('librechat-data-provider');
-const { initializeFakeClient } = require('./FakeClient');
-
-jest.mock('~/db/connect');
-jest.mock('~/server/services/Config', () => ({
-  getAppConfig: jest.fn().mockResolvedValue({
-    // Default app config for tests
-    paths: { uploads: '/tmp' },
-    fileStrategy: 'local',
-    memory: { disabled: false },
-  }),
-}));
-jest.mock('~/models', () => ({
-  User: jest.fn(),
-  Key: jest.fn(),
-  Session: jest.fn(),
-  Balance: jest.fn(),
-  Transaction: jest.fn(),
-  getMessages: jest.fn().mockResolvedValue([]),
-  saveMessage: jest.fn(),
-  updateMessage: jest.fn(),
-  deleteMessagesSince: jest.fn(),
-  deleteMessages: jest.fn(),
-  getConvoTitle: jest.fn(),
-  getConvo: jest.fn(),
-  saveConvo: jest.fn(),
-  deleteConvos: jest.fn(),
-  getPreset: jest.fn(),
-  getPresets: jest.fn(),
-  savePreset: jest.fn(),
-  deletePresets: jest.fn(),
-  findFileById: jest.fn(),
-  createFile: jest.fn(),
-  updateFile: jest.fn(),
-  deleteFile: jest.fn(),
-  deleteFiles: jest.fn(),
-  getFiles: jest.fn(),
-  updateFileUsage: jest.fn(),
-}));
-
-const { getConvo, saveConvo } = require('~/models');
-
-jest.mock('@librechat/agents', () => {
-  const { Providers } = jest.requireActual('@librechat/agents');
-  return {
-    Providers,
-    ChatOpenAI: jest.fn().mockImplementation(() => {
-      return {};
-    }),
-  };
-});
-
-let parentMessageId;
-let conversationId;
-const fakeMessages = [];
-const userMessage = 'Hello, ChatGPT!';
-const apiKey = 'fake-api-key';
-
-const messageHistory = [
-  { role: 'user', isCreatedByUser: true, text: 'Hello', messageId: '1' },
-  { role: 'assistant', isCreatedByUser: false, text: 'Hi', messageId: '2', parentMessageId: '1' },
-  {
-    role: 'user',
-    isCreatedByUser: true,
-    text: "What's up",
-    messageId: '3',
-    parentMessageId: '2',
-  },
-];
-
-describe('BaseClient', () => {
-  let TestClient;
-  const options = {
-    // debug: true,
-    modelOptions: {
-      model: 'gpt-4o-mini',
-      temperature: 0,
-    },
-  };
-
-  beforeEach(() => {
-    TestClient = initializeFakeClient(apiKey, options, fakeMessages);
-    TestClient.summarizeMessages = jest.fn().mockResolvedValue({
-      summaryMessage: {
-        role: 'system',
-        content: 'Refined answer',
-      },
-      summaryTokenCount: 5,
-    });
-  });
-
-  test('returns the input messages without instructions when addInstructions() is called with empty instructions', () => {
-    const messages = [{ content: 'Hello' }, { content: 'How are you?' }, { content: 'Goodbye' }];
-    const instructions = '';
-    const result = TestClient.addInstructions(messages, instructions);
-    expect(result).toEqual(messages);
-  });
-
-  test('returns the input messages with instructions properly added when addInstructions() is called with non-empty instructions', () => {
-    const messages = [{ content: 'Hello' }, { content: 'How are you?' }, { content: 'Goodbye' }];
-    const instructions = { content: 'Please respond to the question.' };
-    const result = TestClient.addInstructions(messages, instructions);
-    const expected = [
-      { content: 'Please respond to the question.' },
-      { content: 'Hello' },
-      { content: 'How are you?' },
-      { content: 'Goodbye' },
-    ];
-    expect(result).toEqual(expected);
-  });
-
-  test('returns the input messages with instructions properly added when addInstructions() with legacy flag', () => {
-    const messages = [{ content: 'Hello' }, { content: 'How are you?' }, { content: 'Goodbye' }];
-    const instructions = { content: 'Please respond to the question.' };
-    const result = TestClient.addInstructions(messages, instructions, true);
-    const expected = [
-      { content: 'Hello' },
-      { content: 'How are you?' },
-      { content: 'Please respond to the question.' },
-      { content: 'Goodbye' },
-    ];
-    expect(result).toEqual(expected);
-  });
-
-  test('concats messages correctly in concatenateMessages()', () => {
-    const messages = [
-      { name: 'User', content: 'Hello' },
-      { name: 'Assistant', content: 'How can I help you?' },
-      { name: 'User', content: 'I have a question.' },
-    ];
-    const result = TestClient.concatenateMessages(messages);
-    const expected =
-      'User:\nHello\n\nAssistant:\nHow can I help you?\n\nUser:\nI have a question.\n\n';
-    expect(result).toBe(expected);
-  });
-
-  test('refines messages correctly in summarizeMessages()', async () => {
-    const messagesToRefine = [
-      { role: 'user', content: 'Hello', tokenCount: 10 },
-      { role: 'assistant', content: 'How can I help you?', tokenCount: 20 },
-    ];
-    const remainingContextTokens = 100;
-    const expectedRefinedMessage = {
-      role: 'system',
-      content: 'Refined answer',
-    };
-
-    const result = await TestClient.summarizeMessages({ messagesToRefine, remainingContextTokens });
-    expect(result.summaryMessage).toEqual(expectedRefinedMessage);
-  });
-
-  test('gets messages within token limit (under limit) correctly in getMessagesWithinTokenLimit()', async () => {
-    TestClient.maxContextTokens = 100;
-    TestClient.shouldSummarize = true;
-
-    const messages = [
-      { role: 'user', content: 'Hello', tokenCount: 5 },
-      { role: 'assistant', content: 'How can I help you?', tokenCount: 19 },
-      { role: 'user', content: 'I have a question.', tokenCount: 18 },
-    ];
-    const expectedContext = [
-      { role: 'user', content: 'Hello', tokenCount: 5 }, // 'Hello'.length
-      { role: 'assistant', content: 'How can I help you?', tokenCount: 19 },
-      { role: 'user', content: 'I have a question.', tokenCount: 18 },
-    ];
-    // Subtract 3 tokens for Assistant Label priming after all messages have been counted.
-    const expectedRemainingContextTokens = 58 - 3; // (100 - 5 - 19 - 18) - 3
-    const expectedMessagesToRefine = [];
-
-    const lastExpectedMessage =
-      expectedMessagesToRefine?.[expectedMessagesToRefine.length - 1] ?? {};
-    const expectedIndex = messages.findIndex((msg) => msg.content === lastExpectedMessage?.content);
-
-    const result = await TestClient.getMessagesWithinTokenLimit({ messages });
-
-    expect(result.context).toEqual(expectedContext);
-    expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
-    expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
-    expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
-  });
-
-  test('gets result over token limit correctly in getMessagesWithinTokenLimit()', async () => {
-    TestClient.maxContextTokens = 50; // Set a lower limit
-    TestClient.shouldSummarize = true;
-
-    const messages = [
-      { role: 'user', content: 'Hello', tokenCount: 30 },
-      { role: 'assistant', content: 'How can I help you?', tokenCount: 30 },
-      { role: 'user', content: 'I have a question.', tokenCount: 5 },
-      { role: 'user', content: 'I need a coffee, stat!', tokenCount: 19 },
-      { role: 'assistant', content: 'Sure, I can help with that.', tokenCount: 18 },
-    ];
-
-    // Subtract 3 tokens for Assistant Label priming after all messages have been counted.
-    const expectedRemainingContextTokens = 5; // (50 - 18 - 19 - 5) - 3
-    const expectedMessagesToRefine = [
-      { role: 'user', content: 'Hello', tokenCount: 30 },
-      { role: 'assistant', content: 'How can I help you?', tokenCount: 30 },
-    ];
-    const expectedContext = [
-      { role: 'user', content: 'I have a question.', tokenCount: 5 },
-      { role: 'user', content: 'I need a coffee, stat!', tokenCount: 19 },
-      { role: 'assistant', content: 'Sure, I can help with that.', tokenCount: 18 },
-    ];
-
-    const lastExpectedMessage =
-      expectedMessagesToRefine?.[expectedMessagesToRefine.length - 1] ?? {};
-    const expectedIndex = messages.findIndex((msg) => msg.content === lastExpectedMessage?.content);
-
-    const result = await TestClient.getMessagesWithinTokenLimit({ messages });
-
-    expect(result.context).toEqual(expectedContext);
-    expect(result.messagesToRefine.length - 1).toEqual(expectedIndex);
-    expect(result.remainingContextTokens).toBe(expectedRemainingContextTokens);
-    expect(result.messagesToRefine).toEqual(expectedMessagesToRefine);
-  });
-
-  describe('getMessagesForConversation', () => {
-    it('should return an empty array if the parentMessageId does not exist', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessages,
-        parentMessageId: '999',
-      });
-      expect(result).toEqual([]);
-    });
-
-    it('should handle messages with messageId property', () => {
-      const messagesWithMessageId = [
-        { messageId: '1', parentMessageId: null, text: 'Message 1' },
-        { messageId: '2', parentMessageId: '1', text: 'Message 2' },
-      ];
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: messagesWithMessageId,
-        parentMessageId: '2',
-      });
-      expect(result).toEqual([
-        { messageId: '1', parentMessageId: null, text: 'Message 1' },
-        { messageId: '2', parentMessageId: '1', text: 'Message 2' },
-      ]);
-    });
-
-    const messagesWithNullParent = [
-      { id: '1', parentMessageId: null, text: 'Message 1' },
-      { id: '2', parentMessageId: null, text: 'Message 2' },
-    ];
-
-    it('should handle messages with null parentMessageId that are not root', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: messagesWithNullParent,
-        parentMessageId: '2',
-      });
-      expect(result).toEqual([{ id: '2', parentMessageId: null, text: 'Message 2' }]);
-    });
-
-    const cyclicMessages = [
-      { id: '3', parentMessageId: '2', text: 'Message 3' },
-      { id: '1', parentMessageId: '3', text: 'Message 1' },
-      { id: '2', parentMessageId: '1', text: 'Message 2' },
-    ];
-
-    it('should handle cyclic references without going into an infinite loop', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: cyclicMessages,
-        parentMessageId: '3',
-      });
-      expect(result).toEqual([
-        { id: '1', parentMessageId: '3', text: 'Message 1' },
-        { id: '2', parentMessageId: '1', text: 'Message 2' },
-        { id: '3', parentMessageId: '2', text: 'Message 3' },
-      ]);
-    });
-
-    const unorderedMessages = [
-      { id: '3', parentMessageId: '2', text: 'Message 3' },
-      { id: '2', parentMessageId: '1', text: 'Message 2' },
-      { id: '1', parentMessageId: Constants.NO_PARENT, text: 'Message 1' },
-    ];
-
-    it('should return ordered messages based on parentMessageId', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessages,
-        parentMessageId: '3',
-      });
-      expect(result).toEqual([
-        { id: '1', parentMessageId: Constants.NO_PARENT, text: 'Message 1' },
-        { id: '2', parentMessageId: '1', text: 'Message 2' },
-        { id: '3', parentMessageId: '2', text: 'Message 3' },
-      ]);
-    });
-
-    const unorderedBranchedMessages = [
-      { id: '4', parentMessageId: '2', text: 'Message 4', summary: 'Summary for Message 4' },
-      { id: '10', parentMessageId: '7', text: 'Message 10' },
-      { id: '1', parentMessageId: null, text: 'Message 1' },
-      { id: '6', parentMessageId: '5', text: 'Message 7' },
-      { id: '7', parentMessageId: '5', text: 'Message 7' },
-      { id: '2', parentMessageId: '1', text: 'Message 2' },
-      { id: '8', parentMessageId: '6', text: 'Message 8' },
-      { id: '5', parentMessageId: '3', text: 'Message 5' },
-      { id: '3', parentMessageId: '1', text: 'Message 3' },
-      { id: '6', parentMessageId: '4', text: 'Message 6' },
-      { id: '8', parentMessageId: '7', text: 'Message 9' },
-      { id: '9', parentMessageId: '7', text: 'Message 9' },
-      { id: '11', parentMessageId: '2', text: 'Message 11', summary: 'Summary for Message 11' },
-    ];
-
-    it('should return ordered messages from a branched array based on parentMessageId', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedBranchedMessages,
-        parentMessageId: '10',
-        summary: true,
-      });
-      expect(result).toEqual([
-        { id: '1', parentMessageId: null, text: 'Message 1' },
-        { id: '3', parentMessageId: '1', text: 'Message 3' },
-        { id: '5', parentMessageId: '3', text: 'Message 5' },
-        { id: '7', parentMessageId: '5', text: 'Message 7' },
-        { id: '10', parentMessageId: '7', text: 'Message 10' },
-      ]);
-    });
-
-    it('should return an empty array if no messages are provided', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: [],
-        parentMessageId: '3',
-      });
-      expect(result).toEqual([]);
-    });
-
-    it('should map over the ordered messages if mapMethod is provided', () => {
-      const mapMethod = (msg) => msg.text;
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessages,
-        parentMessageId: '3',
-        mapMethod,
-      });
-      expect(result).toEqual(['Message 1', 'Message 2', 'Message 3']);
-    });
-
-    let unorderedMessagesWithSummary = [
-      { id: '4', parentMessageId: '3', text: 'Message 4' },
-      { id: '2', parentMessageId: '1', text: 'Message 2', summary: 'Summary for Message 2' },
-      { id: '3', parentMessageId: '2', text: 'Message 3', summary: 'Summary for Message 3' },
-      { id: '1', parentMessageId: null, text: 'Message 1' },
-    ];
-
-    it('should start with the message that has a summary property and continue until the specified parentMessageId', () => {
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessagesWithSummary,
-        parentMessageId: '4',
-        summary: true,
-      });
-      expect(result).toEqual([
-        {
-          id: '3',
-          parentMessageId: '2',
-          role: 'system',
-          text: 'Summary for Message 3',
-          summary: 'Summary for Message 3',
-        },
-        { id: '4', parentMessageId: '3', text: 'Message 4' },
-      ]);
-    });
-
-    it('should handle multiple summaries and return the branch from the latest to the parentMessageId', () => {
-      unorderedMessagesWithSummary = [
-        { id: '5', parentMessageId: '4', text: 'Message 5' },
-        { id: '2', parentMessageId: '1', text: 'Message 2', summary: 'Summary for Message 2' },
-        { id: '3', parentMessageId: '2', text: 'Message 3', summary: 'Summary for Message 3' },
-        { id: '4', parentMessageId: '3', text: 'Message 4', summary: 'Summary for Message 4' },
-        { id: '1', parentMessageId: null, text: 'Message 1' },
-      ];
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessagesWithSummary,
-        parentMessageId: '5',
-        summary: true,
-      });
-      expect(result).toEqual([
-        {
-          id: '4',
-          parentMessageId: '3',
-          role: 'system',
-          text: 'Summary for Message 4',
-          summary: 'Summary for Message 4',
-        },
-        { id: '5', parentMessageId: '4', text: 'Message 5' },
-      ]);
-    });
-
-    it('should handle summary at root edge case and continue until the parentMessageId', () => {
-      unorderedMessagesWithSummary = [
-        { id: '5', parentMessageId: '4', text: 'Message 5' },
-        { id: '1', parentMessageId: null, text: 'Message 1', summary: 'Summary for Message 1' },
-        { id: '4', parentMessageId: '3', text: 'Message 4', summary: 'Summary for Message 4' },
-        { id: '2', parentMessageId: '1', text: 'Message 2', summary: 'Summary for Message 2' },
-        { id: '3', parentMessageId: '2', text: 'Message 3', summary: 'Summary for Message 3' },
-      ];
-      const result = TestClient.constructor.getMessagesForConversation({
-        messages: unorderedMessagesWithSummary,
-        parentMessageId: '5',
-        summary: true,
-      });
-      expect(result).toEqual([
-        {
-          id: '4',
-          parentMessageId: '3',
-          role: 'system',
-          text: 'Summary for Message 4',
-          summary: 'Summary for Message 4',
-        },
-        { id: '5', parentMessageId: '4', text: 'Message 5' },
-      ]);
-    });
-  });
-
-  describe('sendMessage', () => {
-    test('sendMessage should return a response message', async () => {
-      const expectedResult = expect.objectContaining({
-        sender: TestClient.sender,
-        text: expect.any(String),
-        isCreatedByUser: false,
-        messageId: expect.any(String),
-        parentMessageId: expect.any(String),
-        conversationId: expect.any(String),
-      });
-
-      const response = await TestClient.sendMessage(userMessage);
-      parentMessageId = response.messageId;
-      conversationId = response.conversationId;
-      expect(response).toEqual(expectedResult);
-    });
-
-    test('should replace responseMessageId with new UUID when isRegenerate is true and messageId ends with underscore', async () => {
-      const mockCrypto = require('crypto');
-      const newUUID = 'new-uuid-1234';
-      jest.spyOn(mockCrypto, 'randomUUID').mockReturnValue(newUUID);
-
-      const opts = {
-        isRegenerate: true,
-        responseMessageId: 'existing-message-id_',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe(newUUID);
-      expect(TestClient.responseMessageId).not.toBe('existing-message-id_');
-
-      mockCrypto.randomUUID.mockRestore();
-    });
-
-    test('should not replace responseMessageId when isRegenerate is false', async () => {
-      const opts = {
-        isRegenerate: false,
-        responseMessageId: 'existing-message-id_',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe('existing-message-id_');
-    });
-
-    test('should not replace responseMessageId when it does not end with underscore', async () => {
-      const opts = {
-        isRegenerate: true,
-        responseMessageId: 'existing-message-id',
-      };
-
-      await TestClient.setMessageOptions(opts);
-
-      expect(TestClient.responseMessageId).toBe('existing-message-id');
-    });
-
-    test('sendMessage should work with provided conversationId and parentMessageId', async () => {
-      const userMessage = 'Second message in the conversation';
-      const opts = {
-        conversationId,
-        parentMessageId,
-        getReqData: jest.fn(),
-        onStart: jest.fn(),
-      };
-
-      const expectedResult = expect.objectContaining({
-        sender: TestClient.sender,
-        text: expect.any(String),
-        isCreatedByUser: false,
-        messageId: expect.any(String),
-        parentMessageId: expect.any(String),
-        conversationId: opts.conversationId,
-      });
-
-      const response = await TestClient.sendMessage(userMessage, opts);
-      parentMessageId = response.messageId;
-      expect(response.conversationId).toEqual(conversationId);
-      expect(response).toEqual(expectedResult);
-      expect(opts.getReqData).toHaveBeenCalled();
-      expect(opts.onStart).toHaveBeenCalled();
-      expect(TestClient.getBuildMessagesOptions).toHaveBeenCalled();
-      expect(TestClient.getSaveOptions).toHaveBeenCalled();
-    });
-
-    test('should return chat history', async () => {
-      TestClient = initializeFakeClient(apiKey, options, messageHistory);
-      const chatMessages = await TestClient.loadHistory(conversationId, '2');
-      expect(TestClient.currentMessages).toHaveLength(2);
-      expect(chatMessages[0].text).toEqual('Hello');
-
-      const chatMessages2 = await TestClient.loadHistory(conversationId, '3');
-      expect(TestClient.currentMessages).toHaveLength(3);
-      expect(chatMessages2[chatMessages2.length - 1].text).toEqual("What's up");
-    });
-
-    /* Most of the new sendMessage logic revolving around edited/continued AI messages
-     *  can be summarized by the following test. The condition will load the entire history up to
-     *  the message that is being edited, which will trigger the AI API to 'continue' the response.
-     *  The 'userMessage' is only passed by convention and is not necessary for the generation.
-     */
-    it('should not push userMessage to currentMessages when isEdited is true and vice versa', async () => {
-      const overrideParentMessageId = 'user-message-id';
-      const responseMessageId = 'response-message-id';
-      const newHistory = messageHistory.slice();
-      newHistory.push({
-        role: 'assistant',
-        isCreatedByUser: false,
-        text: 'test message',
-        messageId: responseMessageId,
-        parentMessageId: '3',
-      });
-
-      TestClient = initializeFakeClient(apiKey, options, newHistory);
-      const sendMessageOptions = {
-        isEdited: true,
-        overrideParentMessageId,
-        parentMessageId: '3',
-        responseMessageId,
-      };
-
-      await TestClient.sendMessage('test message', sendMessageOptions);
-      const currentMessages = TestClient.currentMessages;
-      expect(currentMessages[currentMessages.length - 1].messageId).not.toEqual(
-        overrideParentMessageId,
-      );
-
-      // Test the opposite case
-      sendMessageOptions.isEdited = false;
-      await TestClient.sendMessage('test message', sendMessageOptions);
-      const currentMessages2 = TestClient.currentMessages;
-      expect(currentMessages2[currentMessages2.length - 1].messageId).toEqual(
-        overrideParentMessageId,
-      );
-    });
-
-    test('setOptions is called with the correct arguments only when replaceOptions is set to true', async () => {
-      TestClient.setOptions = jest.fn();
-      const opts = { conversationId: '123', parentMessageId: '456', replaceOptions: true };
-      await TestClient.sendMessage('Hello, world!', opts);
-      expect(TestClient.setOptions).toHaveBeenCalledWith(opts);
-      TestClient.setOptions.mockClear();
-    });
-
-    test('loadHistory is called with the correct arguments', async () => {
-      const opts = { conversationId: '123', parentMessageId: '456' };
-      await TestClient.sendMessage('Hello, world!', opts);
-      expect(TestClient.loadHistory).toHaveBeenCalledWith(
-        opts.conversationId,
-        opts.parentMessageId,
-      );
-    });
-
-    test('getReqData is called with the correct arguments', async () => {
-      const getReqData = jest.fn();
-      const opts = { getReqData };
-      const response = await TestClient.sendMessage('Hello, world!', opts);
-      expect(getReqData).toHaveBeenCalledWith(
-        expect.objectContaining({
-          userMessage: expect.objectContaining({ text: 'Hello, world!' }),
-          conversationId: response.conversationId,
-          responseMessageId: response.messageId,
-        }),
-      );
-    });
-
-    test('onStart is called with the correct arguments', async () => {
-      const onStart = jest.fn();
-      const opts = { onStart };
-      await TestClient.sendMessage('Hello, world!', opts);
-
-      expect(onStart).toHaveBeenCalledWith(
-        expect.objectContaining({ text: 'Hello, world!' }),
-        expect.any(String),
-        /** `isNewConvo` */
-        true,
-      );
-    });
-
-    test('saveMessageToDatabase is called with the correct arguments', async () => {
-      const saveOptions = TestClient.getSaveOptions();
-      const user = {};
-      const opts = { user };
-      const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
-      await TestClient.sendMessage('Hello, world!', opts);
-      expect(saveSpy).toHaveBeenCalledWith(
-        expect.objectContaining({
-          sender: expect.any(String),
-          text: expect.any(String),
-          isCreatedByUser: expect.any(Boolean),
-          messageId: expect.any(String),
-          parentMessageId: expect.any(String),
-          conversationId: expect.any(String),
-        }),
-        saveOptions,
-        user,
-      );
-    });
-
-    test('should handle existing conversation when getConvo retrieves one', async () => {
-      const existingConvo = {
-        conversationId: 'existing-convo-id',
-        endpoint: 'openai',
-        endpointType: 'openai',
-        model: 'gpt-3.5-turbo',
-        messages: [
-          { role: 'user', content: 'Existing message 1' },
-          { role: 'assistant', content: 'Existing response 1' },
-        ],
-        temperature: 1,
-      };
-
-      const { temperature: _temp, ...newConvo } = existingConvo;
-
-      const user = {
-        id: 'user-id',
-      };
-
-      getConvo.mockResolvedValue(existingConvo);
-      saveConvo.mockResolvedValue(newConvo);
-
-      TestClient = initializeFakeClient(
-        apiKey,
-        {
-          ...options,
-          req: {
-            user,
-          },
-        },
-        [],
-      );
-
-      const saveSpy = jest.spyOn(TestClient, 'saveMessageToDatabase');
-
-      const newMessage = 'New message in existing conversation';
-      const response = await TestClient.sendMessage(newMessage, {
-        user,
-        conversationId: existingConvo.conversationId,
-      });
-
-      expect(getConvo).toHaveBeenCalledWith(user.id, existingConvo.conversationId);
-      expect(TestClient.conversationId).toBe(existingConvo.conversationId);
-      expect(response.conversationId).toBe(existingConvo.conversationId);
-      expect(TestClient.fetchedConvo).toBe(true);
-
-      expect(saveSpy).toHaveBeenCalledWith(
-        expect.objectContaining({
-          conversationId: existingConvo.conversationId,
-          text: newMessage,
-        }),
-        expect.any(Object),
-        expect.any(Object),
-      );
-
-      expect(saveConvo).toHaveBeenCalledTimes(2);
-      expect(saveConvo).toHaveBeenCalledWith(
-        expect.any(Object),
-        expect.objectContaining({
-          conversationId: existingConvo.conversationId,
-        }),
-        expect.objectContaining({
-          context: 'api/app/clients/BaseClient.js - saveMessageToDatabase #saveConvo',
-          unsetFields: {
-            temperature: 1,
-          },
-        }),
-      );
-
-      await TestClient.sendMessage('Another message', {
-        conversationId: existingConvo.conversationId,
-      });
-      expect(getConvo).toHaveBeenCalledTimes(1);
-    });
-
-    test('should correctly handle existing conversation and unset fields appropriately', async () => {
-      const existingConvo = {
-        conversationId: 'existing-convo-id',
-        endpoint: 'openai',
-        endpointType: 'openai',
-        model: 'gpt-3.5-turbo',
-        messages: [
-          { role: 'user', content: 'Existing message 1' },
-          { role: 'assistant', content: 'Existing response 1' },
-        ],
-        title: 'Existing Conversation',
-        someExistingField: 'existingValue',
-        anotherExistingField: 'anotherValue',
-        temperature: 0.7,
-        modelLabel: 'GPT-3.5',
-      };
-
-      getConvo.mockResolvedValue(existingConvo);
-      saveConvo.mockResolvedValue(existingConvo);
-
-      TestClient = initializeFakeClient(
-        apiKey,
-        {
-          ...options,
-          modelOptions: {
-            model: 'gpt-4',
-            temperature: 0.5,
-          },
-        },
-        [],
-      );
-
-      const newMessage = 'New message in existing conversation';
-      await TestClient.sendMessage(newMessage, {
-        conversationId: existingConvo.conversationId,
-      });
-
-      expect(saveConvo).toHaveBeenCalledTimes(2);
-
-      const saveConvoCall = saveConvo.mock.calls[0];
-      const [, savedFields, saveOptions] = saveConvoCall;
-
-      // Instead of checking all excludedKeys, we'll just check specific fields
-      // that we know should be excluded
-      expect(savedFields).not.toHaveProperty('messages');
-      expect(savedFields).not.toHaveProperty('title');
-
-      // Only check that someExistingField is in unsetFields
-      expect(saveOptions.unsetFields).toHaveProperty('someExistingField', 1);
-
-      // Mock saveConvo to return the expected fields
-      saveConvo.mockImplementation((req, fields) => {
-        return Promise.resolve({
-          ...fields,
-          endpoint: 'openai',
-          endpointType: 'openai',
-          model: 'gpt-4',
-          temperature: 0.5,
-        });
-      });
-
-      // Only check the conversationId since that's the only field we can be sure about
-      expect(savedFields).toHaveProperty('conversationId', 'existing-convo-id');
-
-      expect(TestClient.fetchedConvo).toBe(true);
-
-      await TestClient.sendMessage('Another message', {
-        conversationId: existingConvo.conversationId,
-      });
-
-      expect(getConvo).toHaveBeenCalledTimes(1);
-
-      const secondSaveConvoCall = saveConvo.mock.calls[1];
-      expect(secondSaveConvoCall[2]).toHaveProperty('unsetFields', {});
-    });
-
-    test('sendCompletion is called with the correct arguments', async () => {
-      const payload = {}; // Mock payload
-      TestClient.buildMessages.mockReturnValue({ prompt: payload, tokenCountMap: null });
-      const opts = {};
-      await TestClient.sendMessage('Hello, world!', opts);
-      expect(TestClient.sendCompletion).toHaveBeenCalledWith(payload, opts);
-    });
-
-    test('getTokenCount for response is called with the correct arguments', async () => {
-      const tokenCountMap = {}; // Mock tokenCountMap
-      TestClient.buildMessages.mockReturnValue({ prompt: [], tokenCountMap });
-      TestClient.getTokenCountForResponse = jest.fn();
-      const response = await TestClient.sendMessage('Hello, world!', {});
-      expect(TestClient.getTokenCountForResponse).toHaveBeenCalledWith(response);
-    });
-
-    test('returns an object with the correct shape', async () => {
-      const response = await TestClient.sendMessage('Hello, world!', {});
-      expect(response).toEqual(
-        expect.objectContaining({
-          sender: expect.any(String),
-          text: expect.any(String),
-          isCreatedByUser: expect.any(Boolean),
-          messageId: expect.any(String),
-          parentMessageId: expect.any(String),
-          conversationId: expect.any(String),
-        }),
-      );
-    });
-
-    test('userMessagePromise is awaited before saving response message', async () => {
-      // Mock the saveMessageToDatabase method
-      TestClient.saveMessageToDatabase = jest.fn().mockImplementation(() => {
-        return new Promise((resolve) => setTimeout(resolve, 100)); // Simulate a delay
-      });
-
-      // Send a message
-      const messagePromise = TestClient.sendMessage('Hello, world!');
-
-      // Wait a short time to ensure the user message save has started
-      await new Promise((resolve) => setTimeout(resolve, 50));
-
-      // Check that saveMessageToDatabase has been called once (for the user message)
-      expect(TestClient.saveMessageToDatabase).toHaveBeenCalledTimes(1);
-
-      // Wait for the message to be fully processed
-      await messagePromise;
-
-      // Check that saveMessageToDatabase has been called twice (once for user message, once for response)
-      expect(TestClient.saveMessageToDatabase).toHaveBeenCalledTimes(2);
-
-      // Check the order of calls
-      const calls = TestClient.saveMessageToDatabase.mock.calls;
-      expect(calls[0][0].isCreatedByUser).toBe(true); // First call should be for user message
-      expect(calls[1][0].isCreatedByUser).toBe(false); // Second call should be for response message
-    });
-  });
-
-  describe('getMessagesWithinTokenLimit with instructions', () => {
-    test('should always include instructions when present', async () => {
-      TestClient.maxContextTokens = 50;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      expect(result.context[0]).toBe(instructions);
-      expect(result.remainingContextTokens).toBe(2);
-    });
-
-    test('should handle case when messages exceed limit but instructions must be preserved', async () => {
-      TestClient.maxContextTokens = 30;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      // Should only include instructions and the last message that fits
-      expect(result.context).toHaveLength(1);
-      expect(result.context[0].content).toBe(instructions.content);
-      expect(result.messagesToRefine).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(7); // 30 - 20 - 3 (assistant label)
-    });
-
-    test('should work correctly without instructions (1/2)', async () => {
-      TestClient.maxContextTokens = 50;
-      const messages = [
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-      });
-
-      expect(result.context).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(22); // 50 - 10 - 15 - 3(assistant label)
-      expect(result.messagesToRefine).toHaveLength(0);
-    });
-
-    test('should work correctly without instructions (2/2)', async () => {
-      TestClient.maxContextTokens = 30;
-      const messages = [
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 20 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-      });
-
-      expect(result.context).toHaveLength(1);
-      expect(result.remainingContextTokens).toBe(7);
-      expect(result.messagesToRefine).toHaveLength(1);
-    });
-
-    test('should handle case when only instructions fit within limit', async () => {
-      TestClient.maxContextTokens = 25;
-      const instructions = {
-        role: 'system',
-        content: 'System instructions',
-        tokenCount: 20,
-      };
-
-      const messages = [
-        instructions,
-        { role: 'user', content: 'Hello', tokenCount: 10 },
-        { role: 'assistant', content: 'Hi there', tokenCount: 15 },
-      ];
-
-      const result = await TestClient.getMessagesWithinTokenLimit({
-        messages,
-        instructions,
-      });
-
-      expect(result.context).toHaveLength(1);
-      expect(result.context[0]).toBe(instructions);
-      expect(result.messagesToRefine).toHaveLength(2);
-      expect(result.remainingContextTokens).toBe(2); // 25 - 20 - 3(assistant label)
-    });
-  });
-});

api/app/clients/specs/FakeClient.js

@@ -1,126 +0,0 @@
-const { getModelMaxTokens } = require('@librechat/api');
-const BaseClient = require('../BaseClient');
-
-class FakeClient extends BaseClient {
-  constructor(apiKey, options = {}) {
-    super(apiKey, options);
-    this.sender = 'AI Assistant';
-    this.setOptions(options);
-  }
-  setOptions(options) {
-    if (this.options && !this.options.replaceOptions) {
-      this.options.modelOptions = {
-        ...this.options.modelOptions,
-        ...options.modelOptions,
-      };
-      delete options.modelOptions;
-      this.options = {
-        ...this.options,
-        ...options,
-      };
-    } else {
-      this.options = options;
-    }
-
-    if (this.options.openaiApiKey) {
-      this.apiKey = this.options.openaiApiKey;
-    }
-
-    const modelOptions = this.options.modelOptions || {};
-    if (!this.modelOptions) {
-      this.modelOptions = {
-        ...modelOptions,
-        model: modelOptions.model || 'gpt-3.5-turbo',
-        temperature:
-          typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
-        top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
-        presence_penalty:
-          typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
-        stop: modelOptions.stop,
-      };
-    }
-
-    this.maxContextTokens =
-      this.options.maxContextTokens ?? getModelMaxTokens(this.modelOptions.model) ?? 4097;
-  }
-  buildMessages() {}
-  getTokenCount(str) {
-    return str.length;
-  }
-  getTokenCountForMessage(message) {
-    return message?.content?.length || message.length;
-  }
-}
-
-const initializeFakeClient = (apiKey, options, fakeMessages) => {
-  let TestClient = new FakeClient(apiKey);
-  TestClient.options = options;
-  TestClient.abortController = { abort: jest.fn() };
-  TestClient.loadHistory = jest
-    .fn()
-    .mockImplementation((conversationId, parentMessageId = null) => {
-      if (!conversationId) {
-        TestClient.currentMessages = [];
-        return Promise.resolve([]);
-      }
-
-      const orderedMessages = TestClient.constructor.getMessagesForConversation({
-        messages: fakeMessages,
-        parentMessageId,
-      });
-
-      TestClient.currentMessages = orderedMessages;
-      return Promise.resolve(orderedMessages);
-    });
-
-  TestClient.getSaveOptions = jest.fn().mockImplementation(() => {
-    return {};
-  });
-
-  TestClient.getBuildMessagesOptions = jest.fn().mockImplementation(() => {
-    return {};
-  });
-
-  TestClient.sendCompletion = jest.fn(async () => {
-    return {
-      completion: 'Mock response text',
-      metadata: undefined,
-    };
-  });
-
-  TestClient.getCompletion = jest.fn().mockImplementation(async (..._args) => {
-    return {
-      choices: [
-        {
-          message: {
-            content: 'Mock response text',
-          },
-        },
-      ],
-    };
-  });
-
-  TestClient.buildMessages = jest.fn(async (messages, parentMessageId) => {
-    const orderedMessages = TestClient.constructor.getMessagesForConversation({
-      messages,
-      parentMessageId,
-    });
-    const formattedMessages = orderedMessages.map((message) => {
-      let { role: _role, sender, text } = message;
-      const role = _role ?? sender;
-      const content = text ?? '';
-      return {
-        role: role?.toLowerCase() === 'user' ? 'user' : 'assistant',
-        content,
-      };
-    });
-    return {
-      prompt: formattedMessages,
-      tokenCountMap: null, // Simplified for the mock
-    };
-  });
-
-  return TestClient;
-};
-
-module.exports = { FakeClient, initializeFakeClient };

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

@@ -1,630 +0,0 @@
-jest.mock('~/cache/getLogStores');
-require('dotenv').config();
-const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
-const getLogStores = require('~/cache/getLogStores');
-const OpenAIClient = require('../OpenAIClient');
-jest.mock('meilisearch');
-
-jest.mock('~/db/connect');
-jest.mock('~/models', () => ({
-  User: jest.fn(),
-  Key: jest.fn(),
-  Session: jest.fn(),
-  Balance: jest.fn(),
-  Transaction: jest.fn(),
-  getMessages: jest.fn().mockResolvedValue([]),
-  saveMessage: jest.fn(),
-  updateMessage: jest.fn(),
-  deleteMessagesSince: jest.fn(),
-  deleteMessages: jest.fn(),
-  getConvoTitle: jest.fn(),
-  getConvo: jest.fn(),
-  saveConvo: jest.fn(),
-  deleteConvos: jest.fn(),
-  getPreset: jest.fn(),
-  getPresets: jest.fn(),
-  savePreset: jest.fn(),
-  deletePresets: jest.fn(),
-  findFileById: jest.fn(),
-  createFile: jest.fn(),
-  updateFile: jest.fn(),
-  deleteFile: jest.fn(),
-  deleteFiles: jest.fn(),
-  getFiles: jest.fn(),
-  updateFileUsage: jest.fn(),
-}));
-
-// Import the actual module but mock specific parts
-const agents = jest.requireActual('@librechat/agents');
-const { CustomOpenAIClient } = agents;
-
-// Also mock ChatOpenAI to prevent real API calls
-agents.ChatOpenAI = jest.fn().mockImplementation(() => {
-  return {};
-});
-agents.AzureChatOpenAI = jest.fn().mockImplementation(() => {
-  return {};
-});
-
-// Mock only the CustomOpenAIClient constructor
-jest.spyOn(CustomOpenAIClient, 'constructor').mockImplementation(function (...options) {
-  return new CustomOpenAIClient(...options);
-});
-
-const finalChatCompletion = jest.fn().mockResolvedValue({
-  choices: [
-    {
-      message: { role: 'assistant', content: 'Mock message content' },
-      finish_reason: 'Mock finish reason',
-    },
-  ],
-});
-
-const stream = jest.fn().mockImplementation(() => {
-  let isDone = false;
-  let isError = false;
-  let errorCallback = null;
-
-  const onEventHandlers = {
-    abort: () => {
-      // Mock abort behavior
-    },
-    error: (callback) => {
-      errorCallback = callback; // Save the error callback for later use
-    },
-    finalMessage: (callback) => {
-      callback({ role: 'assistant', content: 'Mock Response' });
-      isDone = true; // Set stream to done
-    },
-  };
-
-  const mockStream = {
-    on: jest.fn((event, callback) => {
-      if (onEventHandlers[event]) {
-        onEventHandlers[event](callback);
-      }
-      return mockStream;
-    }),
-    finalChatCompletion,
-    controller: { abort: jest.fn() },
-    triggerError: () => {
-      isError = true;
-      if (errorCallback) {
-        errorCallback(new Error('Mock error'));
-      }
-    },
-    [Symbol.asyncIterator]: () => {
-      return {
-        next: () => {
-          if (isError) {
-            return Promise.reject(new Error('Mock error'));
-          }
-          if (isDone) {
-            return Promise.resolve({ done: true });
-          }
-          const chunk = { choices: [{ delta: { content: 'Mock chunk' } }] };
-          return Promise.resolve({ value: chunk, done: false });
-        },
-      };
-    },
-  };
-  return mockStream;
-});
-
-const create = jest.fn().mockResolvedValue({
-  choices: [
-    {
-      message: { content: 'Mock message content' },
-      finish_reason: 'Mock finish reason',
-    },
-  ],
-});
-
-// Mock the implementation of CustomOpenAIClient instances
-jest.spyOn(CustomOpenAIClient.prototype, 'constructor').mockImplementation(function () {
-  return this;
-});
-
-// Create a mock for the CustomOpenAIClient class
-const mockCustomOpenAIClient = jest.fn().mockImplementation(() => ({
-  beta: {
-    chat: {
-      completions: {
-        stream,
-      },
-    },
-  },
-  chat: {
-    completions: {
-      create,
-    },
-  },
-}));
-
-CustomOpenAIClient.mockImplementation = mockCustomOpenAIClient;
-
-describe('OpenAIClient', () => {
-  beforeEach(() => {
-    const mockCache = {
-      get: jest.fn().mockResolvedValue({}),
-      set: jest.fn(),
-    };
-    getLogStores.mockReturnValue(mockCache);
-  });
-  let client;
-  const model = 'gpt-4';
-  const parentMessageId = '1';
-  const messages = [
-    { role: 'user', sender: 'User', text: 'Hello', messageId: parentMessageId },
-    { role: 'assistant', sender: 'Assistant', text: 'Hi', messageId: '2' },
-  ];
-
-  const defaultOptions = {
-    // debug: true,
-    req: {},
-    openaiApiKey: 'new-api-key',
-    modelOptions: {
-      model,
-      temperature: 0.7,
-    },
-  };
-
-  const defaultAzureOptions = {
-    azureOpenAIApiInstanceName: 'your-instance-name',
-    azureOpenAIApiDeploymentName: 'your-deployment-name',
-    azureOpenAIApiVersion: '2020-07-01-preview',
-  };
-
-  let originalWarn;
-
-  beforeAll(() => {
-    originalWarn = console.warn;
-    console.warn = jest.fn();
-  });
-
-  afterAll(() => {
-    console.warn = originalWarn;
-  });
-
-  beforeEach(() => {
-    console.warn.mockClear();
-  });
-
-  beforeEach(() => {
-    const options = { ...defaultOptions };
-    client = new OpenAIClient('test-api-key', options);
-    client.summarizeMessages = jest.fn().mockResolvedValue({
-      role: 'assistant',
-      content: 'Refined answer',
-      tokenCount: 30,
-    });
-    client.buildPrompt = jest
-      .fn()
-      .mockResolvedValue({ prompt: messages.map((m) => m.text).join('\n') });
-    client.getMessages = jest.fn().mockResolvedValue([]);
-  });
-
-  describe('setOptions', () => {
-    it('should set the options correctly', () => {
-      expect(client.apiKey).toBe('new-api-key');
-      expect(client.modelOptions.model).toBe(model);
-      expect(client.modelOptions.temperature).toBe(0.7);
-    });
-
-    it('should set FORCE_PROMPT based on OPENAI_FORCE_PROMPT or reverseProxyUrl', () => {
-      process.env.OPENAI_FORCE_PROMPT = 'true';
-      client.setOptions({});
-      expect(client.FORCE_PROMPT).toBe(true);
-      delete process.env.OPENAI_FORCE_PROMPT; // Cleanup
-      client.FORCE_PROMPT = undefined;
-
-      client.setOptions({ reverseProxyUrl: 'https://example.com/completions' });
-      expect(client.FORCE_PROMPT).toBe(true);
-      client.FORCE_PROMPT = undefined;
-
-      client.setOptions({ reverseProxyUrl: 'https://example.com/chat' });
-      expect(client.FORCE_PROMPT).toBe(false);
-    });
-
-    it('should set isChatCompletion based on useOpenRouter, reverseProxyUrl, or model', () => {
-      client.setOptions({ reverseProxyUrl: null });
-      // true by default since default model will be gpt-4o-mini
-      expect(client.isChatCompletion).toBe(true);
-      client.isChatCompletion = undefined;
-
-      // false because completions url will force prompt payload
-      client.setOptions({ reverseProxyUrl: 'https://example.com/completions' });
-      expect(client.isChatCompletion).toBe(false);
-      client.isChatCompletion = undefined;
-
-      client.setOptions({ modelOptions: { model: 'gpt-4o-mini' }, reverseProxyUrl: null });
-      expect(client.isChatCompletion).toBe(true);
-    });
-
-    it('should set completionsUrl and langchainProxy based on reverseProxyUrl', () => {
-      client.setOptions({ reverseProxyUrl: 'https://localhost:8080/v1/chat/completions' });
-      expect(client.completionsUrl).toBe('https://localhost:8080/v1/chat/completions');
-      expect(client.langchainProxy).toBe('https://localhost:8080/v1');
-
-      client.setOptions({ reverseProxyUrl: 'https://example.com/completions' });
-      expect(client.completionsUrl).toBe('https://example.com/completions');
-      expect(client.langchainProxy).toBe('https://example.com/completions');
-    });
-  });
-
-  describe('setOptions with Simplified Azure Integration', () => {
-    afterEach(() => {
-      delete process.env.AZURE_OPENAI_DEFAULT_MODEL;
-      delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
-    });
-
-    const azureOpenAIApiInstanceName = 'test-instance';
-    const azureOpenAIApiDeploymentName = 'test-deployment';
-    const azureOpenAIApiVersion = '2020-07-01-preview';
-
-    const createOptions = (model) => ({
-      modelOptions: { model },
-      azure: {
-        azureOpenAIApiInstanceName,
-        azureOpenAIApiDeploymentName,
-        azureOpenAIApiVersion,
-      },
-    });
-
-    it('should set model from AZURE_OPENAI_DEFAULT_MODEL when Azure is enabled', () => {
-      process.env.AZURE_OPENAI_DEFAULT_MODEL = 'gpt-4-azure';
-      const options = createOptions('test');
-      client.azure = options.azure;
-      client.setOptions(options);
-      expect(client.modelOptions.model).toBe('gpt-4-azure');
-    });
-
-    it('should not change model if Azure is not enabled', () => {
-      process.env.AZURE_OPENAI_DEFAULT_MODEL = 'gpt-4-azure';
-      const originalModel = 'test';
-      client.azure = false;
-      client.setOptions(createOptions('test'));
-      expect(client.modelOptions.model).toBe(originalModel);
-    });
-
-    it('should not change model if AZURE_OPENAI_DEFAULT_MODEL is not set and model is passed', () => {
-      const originalModel = 'GROK-LLM';
-      const options = createOptions(originalModel);
-      client.azure = options.azure;
-      client.setOptions(options);
-      expect(client.modelOptions.model).toBe(originalModel);
-    });
-
-    it('should change model if AZURE_OPENAI_DEFAULT_MODEL is set and model is passed', () => {
-      process.env.AZURE_OPENAI_DEFAULT_MODEL = 'gpt-4-azure';
-      const originalModel = 'GROK-LLM';
-      const options = createOptions(originalModel);
-      client.azure = options.azure;
-      client.setOptions(options);
-      expect(client.modelOptions.model).toBe(process.env.AZURE_OPENAI_DEFAULT_MODEL);
-    });
-
-    it('should include model in deployment name if AZURE_USE_MODEL_AS_DEPLOYMENT_NAME is set', () => {
-      process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
-      const model = 'gpt-4-azure';
-
-      const AzureClient = new OpenAIClient('test-api-key', createOptions(model));
-
-      const expectedValue = `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${model}/chat/completions?api-version=${azureOpenAIApiVersion}`;
-
-      expect(AzureClient.modelOptions.model).toBe(model);
-      expect(AzureClient.azureEndpoint).toBe(expectedValue);
-    });
-
-    it('should include model in deployment name if AZURE_USE_MODEL_AS_DEPLOYMENT_NAME and default model is set', () => {
-      const defaultModel = 'gpt-4-azure';
-      process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
-      process.env.AZURE_OPENAI_DEFAULT_MODEL = defaultModel;
-      const model = 'gpt-4-this-is-a-test-model-name';
-
-      const AzureClient = new OpenAIClient('test-api-key', createOptions(model));
-
-      const expectedValue = `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${model}/chat/completions?api-version=${azureOpenAIApiVersion}`;
-
-      expect(AzureClient.modelOptions.model).toBe(defaultModel);
-      expect(AzureClient.azureEndpoint).toBe(expectedValue);
-    });
-
-    it('should not include model in deployment name if AZURE_USE_MODEL_AS_DEPLOYMENT_NAME is not set', () => {
-      const model = 'gpt-4-azure';
-
-      const AzureClient = new OpenAIClient('test-api-key', createOptions(model));
-
-      const expectedValue = `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${azureOpenAIApiDeploymentName}/chat/completions?api-version=${azureOpenAIApiVersion}`;
-
-      expect(AzureClient.modelOptions.model).toBe(model);
-      expect(AzureClient.azureEndpoint).toBe(expectedValue);
-    });
-  });
-
-  describe('getTokenCount', () => {
-    it('should return the correct token count', () => {
-      const count = client.getTokenCount('Hello, world!');
-      expect(count).toBeGreaterThan(0);
-    });
-  });
-
-  describe('getSaveOptions', () => {
-    it('should return the correct save options', () => {
-      const options = client.getSaveOptions();
-      expect(options).toHaveProperty('chatGptLabel');
-      expect(options).toHaveProperty('modelLabel');
-      expect(options).toHaveProperty('promptPrefix');
-    });
-  });
-
-  describe('getBuildMessagesOptions', () => {
-    it('should return the correct build messages options', () => {
-      const options = client.getBuildMessagesOptions({ promptPrefix: 'Hello' });
-      expect(options).toHaveProperty('isChatCompletion');
-      expect(options).toHaveProperty('promptPrefix');
-      expect(options.promptPrefix).toBe('Hello');
-    });
-  });
-
-  describe('buildMessages', () => {
-    it('should build messages correctly for chat completion', async () => {
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      expect(result).toHaveProperty('prompt');
-    });
-
-    it('should build messages correctly for non-chat completion', async () => {
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: false,
-      });
-      expect(result).toHaveProperty('prompt');
-    });
-
-    it('should build messages correctly with a promptPrefix', async () => {
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-        promptPrefix: 'Test Prefix',
-      });
-      expect(result).toHaveProperty('prompt');
-      const instructions = result.prompt.find((item) => item.content.includes('Test Prefix'));
-      expect(instructions).toBeDefined();
-      expect(instructions.content).toContain('Test Prefix');
-    });
-
-    it('should handle context strategy correctly', async () => {
-      client.contextStrategy = 'summarize';
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      expect(result).toHaveProperty('prompt');
-      expect(result).toHaveProperty('tokenCountMap');
-    });
-
-    it('should assign name property for user messages when options.name is set', async () => {
-      client.options.name = 'Test User';
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      const hasUserWithName = result.prompt.some(
-        (item) => item.role === 'user' && item.name === 'Test_User',
-      );
-      expect(hasUserWithName).toBe(true);
-    });
-
-    it('should handle promptPrefix from options when promptPrefix argument is not provided', async () => {
-      client.options.promptPrefix = 'Test Prefix from options';
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      const instructions = result.prompt.find((item) =>
-        item.content.includes('Test Prefix from options'),
-      );
-      expect(instructions.content).toContain('Test Prefix from options');
-    });
-
-    it('should handle case when neither promptPrefix argument nor options.promptPrefix is set', async () => {
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      const instructions = result.prompt.find((item) => item.content.includes('Test Prefix'));
-      expect(instructions).toBeUndefined();
-    });
-
-    it('should handle case when getMessagesForConversation returns null or an empty array', async () => {
-      const messages = [];
-      const result = await client.buildMessages(messages, parentMessageId, {
-        isChatCompletion: true,
-      });
-      expect(result.prompt).toEqual([]);
-    });
-  });
-
-  describe('getTokenCountForMessage', () => {
-    const example_messages = [
-      {
-        role: 'system',
-        content:
-          'You are a helpful, pattern-following assistant that translates corporate jargon into plain English.',
-      },
-      {
-        role: 'system',
-        name: 'example_user',
-        content: 'New synergies will help drive top-line growth.',
-      },
-      {
-        role: 'system',
-        name: 'example_assistant',
-        content: 'Things working well together will increase revenue.',
-      },
-      {
-        role: 'system',
-        name: 'example_user',
-        content:
-          "Let's circle back when we have more bandwidth to touch base on opportunities for increased leverage.",
-      },
-      {
-        role: 'system',
-        name: 'example_assistant',
-        content: "Let's talk later when we're less busy about how to do better.",
-      },
-      {
-        role: 'user',
-        content:
-          "This late pivot means we don't have time to boil the ocean for the client deliverable.",
-      },
-    ];
-
-    const testCases = [
-      { model: 'gpt-3.5-turbo-0301', expected: 127 },
-      { model: 'gpt-3.5-turbo-0613', expected: 129 },
-      { model: 'gpt-3.5-turbo', expected: 129 },
-      { model: 'gpt-4-0314', expected: 129 },
-      { model: 'gpt-4-0613', expected: 129 },
-      { model: 'gpt-4', expected: 129 },
-      { model: 'unknown', expected: 129 },
-    ];
-
-    testCases.forEach((testCase) => {
-      it(`should return ${testCase.expected} tokens for model ${testCase.model}`, () => {
-        client.modelOptions.model = testCase.model;
-        // 3 tokens for assistant label
-        let totalTokens = 3;
-        for (let message of example_messages) {
-          totalTokens += client.getTokenCountForMessage(message);
-        }
-        expect(totalTokens).toBe(testCase.expected);
-      });
-    });
-
-    const vision_request = [
-      {
-        role: 'user',
-        content: [
-          {
-            type: 'text',
-            text: 'describe what is in this image?',
-          },
-          {
-            type: 'image_url',
-            image_url: {
-              url: 'https://venturebeat.com/wp-content/uploads/2019/03/openai-1.png',
-              detail: 'high',
-            },
-          },
-        ],
-      },
-    ];
-
-    const expectedTokens = 14;
-    const visionModel = 'gpt-4-vision-preview';
-
-    it(`should return ${expectedTokens} tokens for model ${visionModel} (Vision Request)`, () => {
-      client.modelOptions.model = visionModel;
-      // 3 tokens for assistant label
-      let totalTokens = 3;
-      for (let message of vision_request) {
-        totalTokens += client.getTokenCountForMessage(message);
-      }
-      expect(totalTokens).toBe(expectedTokens);
-    });
-  });
-
-  describe('checkVisionRequest functionality', () => {
-    let client;
-    const attachments = [{ type: 'image/png' }];
-
-    beforeEach(() => {
-      client = new OpenAIClient('test-api-key', {
-        endpoint: 'ollama',
-        modelOptions: {
-          model: 'initial-model',
-        },
-        modelsConfig: {
-          ollama: ['initial-model', 'llava', 'other-model'],
-        },
-      });
-
-      client.defaultVisionModel = 'non-valid-default-model';
-    });
-
-    afterEach(() => {
-      jest.restoreAllMocks();
-    });
-
-    it('should set "llava" as the model if it is the first valid model when default validation fails', () => {
-      client.checkVisionRequest(attachments);
-
-      expect(client.modelOptions.model).toBe('llava');
-      expect(client.isVisionModel).toBeTruthy();
-      expect(client.modelOptions.stop).toBeUndefined();
-    });
-  });
-
-  describe('getStreamUsage', () => {
-    it('should return this.usage when completion_tokens_details is null', () => {
-      const client = new OpenAIClient('test-api-key', defaultOptions);
-      client.usage = {
-        completion_tokens_details: null,
-        prompt_tokens: 10,
-        completion_tokens: 20,
-      };
-      client.inputTokensKey = 'prompt_tokens';
-      client.outputTokensKey = 'completion_tokens';
-
-      const result = client.getStreamUsage();
-
-      expect(result).toEqual(client.usage);
-    });
-
-    it('should return this.usage when completion_tokens_details is missing reasoning_tokens', () => {
-      const client = new OpenAIClient('test-api-key', defaultOptions);
-      client.usage = {
-        completion_tokens_details: {
-          other_tokens: 5,
-        },
-        prompt_tokens: 10,
-        completion_tokens: 20,
-      };
-      client.inputTokensKey = 'prompt_tokens';
-      client.outputTokensKey = 'completion_tokens';
-
-      const result = client.getStreamUsage();
-
-      expect(result).toEqual(client.usage);
-    });
-
-    it('should calculate output tokens correctly when completion_tokens_details is present with reasoning_tokens', () => {
-      const client = new OpenAIClient('test-api-key', defaultOptions);
-      client.usage = {
-        completion_tokens_details: {
-          reasoning_tokens: 30,
-          other_tokens: 5,
-        },
-        prompt_tokens: 10,
-        completion_tokens: 20,
-      };
-      client.inputTokensKey = 'prompt_tokens';
-      client.outputTokensKey = 'completion_tokens';
-
-      const result = client.getStreamUsage();
-
-      expect(result).toEqual({
-        reasoning_tokens: 30,
-        other_tokens: 5,
-        prompt_tokens: 10,
-        completion_tokens: 10, // |30 - 20| = 10
-      });
-    });
-
-    it('should return this.usage when it is undefined', () => {
-      const client = new OpenAIClient('test-api-key', defaultOptions);
-      client.usage = undefined;
-
-      const result = client.getStreamUsage();
-
-      expect(result).toBeUndefined();
-    });
-  });
-});

api/app/clients/tools/.well-known/Ai_PDF.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "Ai PDF",
-  "name_for_model": "Ai_PDF",
-  "description_for_human": "Super-fast, interactive chats with PDFs of any size, complete with page references for fact checking.",
-  "description_for_model": "Provide a URL to a PDF and search the document. Break the user question in multiple semantic search queries and calls as needed. Think step by step.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://plugin-3c56b9d4c8a6465998395f28b6a445b2-jexkai4vea-uc.a.run.app/openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://plugin-3c56b9d4c8a6465998395f28b6a445b2-jexkai4vea-uc.a.run.app/logo.png",
-  "contact_email": "support@promptapps.ai",
-  "legal_info_url": "https://plugin-3c56b9d4c8a6465998395f28b6a445b2-jexkai4vea-uc.a.run.app/legal.html"
-}

api/app/clients/tools/.well-known/BrowserOp.json

@@ -1,17 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "BrowserOp",
-  "name_for_model": "BrowserOp",
-  "description_for_human": "Browse dozens of webpages in one query. Fetch information more efficiently.",
-  "description_for_model": "This tool offers the feature for users to input a URL or multiple URLs and interact with them as needed. It's designed to comprehend the user's intent and proffer tailored suggestions in line with the content and functionality of the webpage at hand. Services like text rewrites, translations and more can be requested. When users need specific information to finish a task or if they intend to perform a search, this tool becomes a bridge to the search engine and generates responses based on the results. Whether the user is seeking information about restaurants, rentals, weather, or shopping, this tool connects to the internet and delivers the most recent results.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://testplugin.feednews.com/.well-known/openapi.yaml"
-  },
-  "logo_url": "https://openapi-af.op-mobile.opera.com/openapi/testplugin/.well-known/logo.png",
-  "contact_email": "aiplugins-contact-list@opera.com",
-  "legal_info_url": "https://legal.apexnews.com/terms/"
-}

api/app/clients/tools/.well-known/Dr_Thoths_Tarot.json

@@ -1,89 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "Dr. Thoth's Tarot",
-  "name_for_model": "Dr_Thoths_Tarot",
-  "description_for_human": "Tarot card novelty entertainment & analysis, by Mnemosyne Labs.",
-  "description_for_model": "Intelligent analysis program for tarot card entertaiment, data, & prompts, by Mnemosyne Labs, a division of AzothCorp.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://dr-thoth-tarot.herokuapp.com/openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://dr-thoth-tarot.herokuapp.com/logo.png",
-  "contact_email": "legal@AzothCorp.com",
-  "legal_info_url": "http://AzothCorp.com/legal",
-  "endpoints": [
-    {
-      "name": "Draw Card",
-      "path": "/drawcard",
-      "method": "GET",
-      "description": "Generate a single tarot card from the deck of 78 cards."
-    },
-    {
-      "name": "Occult Card",
-      "path": "/occult_card",
-      "method": "GET",
-      "description": "Generate a tarot card using the specified planet's Kamea matrix.",
-      "parameters": [
-        {
-          "name": "planet",
-          "type": "string",
-          "enum": ["Saturn", "Jupiter", "Mars", "Sun", "Venus", "Mercury", "Moon"],
-          "required": true,
-          "description": "The planet name to use the corresponding Kamea matrix."
-        }
-      ]
-    },
-    {
-      "name": "Three Card Spread",
-      "path": "/threecardspread",
-      "method": "GET",
-      "description": "Perform a three-card tarot spread."
-    },
-    {
-      "name": "Celtic Cross Spread",
-      "path": "/celticcross",
-      "method": "GET",
-      "description": "Perform a Celtic Cross tarot spread with 10 cards."
-    },
-    {
-      "name": "Past, Present, Future Spread",
-      "path": "/pastpresentfuture",
-      "method": "GET",
-      "description": "Perform a Past, Present, Future tarot spread with 3 cards."
-    },
-    {
-      "name": "Horseshoe Spread",
-      "path": "/horseshoe",
-      "method": "GET",
-      "description": "Perform a Horseshoe tarot spread with 7 cards."
-    },
-    {
-      "name": "Relationship Spread",
-      "path": "/relationship",
-      "method": "GET",
-      "description": "Perform a Relationship tarot spread."
-    },
-    {
-      "name": "Career Spread",
-      "path": "/career",
-      "method": "GET",
-      "description": "Perform a Career tarot spread."
-    },
-    {
-      "name": "Yes/No Spread",
-      "path": "/yesno",
-      "method": "GET",
-      "description": "Perform a Yes/No tarot spread."
-    },
-    {
-      "name": "Chakra Spread",
-      "path": "/chakra",
-      "method": "GET",
-      "description": "Perform a Chakra tarot spread with 7 cards."
-    }
-  ]
-}

api/app/clients/tools/.well-known/DreamInterpreter.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_model": "DreamInterpreter",
-  "name_for_human": "Dream Interpreter",
-  "description_for_model": "Interprets your dreams using advanced techniques.",
-  "description_for_human": "Interprets your dreams using advanced techniques.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://dreamplugin.bgnetmobile.com/.well-known/openapi.json",
-    "has_user_authentication": false
-  },
-  "logo_url": "https://dreamplugin.bgnetmobile.com/.well-known/logo.png",
-  "contact_email": "ismail.orkler@bgnetmobile.com",
-  "legal_info_url": "https://dreamplugin.bgnetmobile.com/terms.html"
-}

api/app/clients/tools/.well-known/VoxScript.json

@@ -1,22 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "VoxScript",
-  "name_for_model": "VoxScript",
-  "description_for_human": "Enables searching of YouTube transcripts, financial data sources Google Search results, and more!",
-  "description_for_model": "Plugin for searching through varius data sources.",
-  "auth": {
-    "type": "service_http",
-    "authorization_type": "bearer",
-    "verification_tokens": {
-      "openai": "ffc5226d1af346c08a98dee7deec9f76"
-    }
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://voxscript.awt.icu/swagger/v1/swagger.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://voxscript.awt.icu/images/VoxScript_logo_32x32.png",
-  "contact_email": "voxscript@allwiretech.com",
-  "legal_info_url": "https://voxscript.awt.icu/legal/"
-}

api/app/clients/tools/.well-known/askyourpdf.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_model": "askyourpdf",
-  "name_for_human": "AskYourPDF",
-  "description_for_model": "This plugin is designed to expedite the extraction of information from PDF documents. It works by accepting a URL link to a PDF or a document ID (doc_id) from the user. If a URL is provided, the plugin first validates that it is a correct URL. \\nAfter validating the URL, the plugin proceeds to download the PDF and store its content in a vector database. If the user provides a doc_id, the plugin directly retrieves the document from the database. The plugin then scans through the stored PDFs to find answers to user queries or retrieve specific details.\\n\\nHowever, if an error occurs while querying the API, the user is prompted to download their document first, then manually upload it to [![Upload Document](https://raw.githubusercontent.com/AskYourPdf/ask-plugin/main/upload.png)](https://askyourpdf.com/upload). Once the upload is complete, the user should copy the resulting doc_id and paste it back into the chat for further interaction.\nThe plugin is particularly useful when the user's question pertains to content within a PDF document. When providing answers, the plugin also specifies the page number (highlighted in bold) where the relevant information was found. Remember, the URL must be valid for a successful query. Failure to validate the URL may lead to errors or unsuccessful queries.",
-  "description_for_human": "Unlock the power of your PDFs!, dive into your documents, find answers, and bring information to your fingertips.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "askyourpdf.yaml",
-    "has_user_authentication": false
-  },
-  "logo_url": "https://plugin.askyourpdf.com/.well-known/logo.png",
-  "contact_email": "plugin@askyourpdf.com",
-  "legal_info_url": "https://askyourpdf.com/terms"
-}

api/app/clients/tools/.well-known/drink_maestro.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "Drink Maestro",
-  "name_for_model": "drink_maestro",
-  "description_for_human": "Learn to mix any drink you can imagine (real or made-up), and discover new ones. Includes drink images.",
-  "description_for_model": "You are a silly bartender/comic who knows how to make any drink imaginable. You provide recipes for specific drinks, suggest new drinks, and show pictures of drinks. Be creative in your descriptions and make jokes and puns. Use a lot of emojis. If the user makes a request in another language, send API call in English, and then translate the response.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://api.drinkmaestro.space/.well-known/openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://i.imgur.com/6q8HWdz.png",
-  "contact_email": "nikkmitchell@gmail.com",
-  "legal_info_url": "https://github.com/nikkmitchell/DrinkMaestro/blob/main/Legal.txt"
-}

api/app/clients/tools/.well-known/earthImagesAndVisualizations.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "Earth",
-  "name_for_model": "earthImagesAndVisualizations",
-  "description_for_human": "Generates a map image based on provided location, tilt and style.",
-  "description_for_model": "Generates a map image based on provided coordinates or location, tilt and style, and even geoJson to provide markers, paths, and polygons. Responds with an image-link. For the styles choose one of these: [light, dark, streets, outdoors, satellite, satellite-streets]",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://api.earth-plugin.com/openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://api.earth-plugin.com/logo.png",
-  "contact_email": "contact@earth-plugin.com",
-  "legal_info_url": "https://api.earth-plugin.com/legal.html"
-}

api/app/clients/tools/.well-known/has-issues/scholarly_graph_link.json

@@ -1,18 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "Scholarly Graph Link",
-  "name_for_model": "scholarly_graph_link",
-  "description_for_human": "You can search papers, authors, datasets and software. It has access to Figshare, Arxiv, and many others.",
-  "description_for_model": "Run GraphQL queries against an API hosted by DataCite API. The API supports most GraphQL query but does not support mutations statements. Use `{ __schema { types { name kind } } }` to get all the types in the GraphQL schema. Use `{ datasets { nodes { id sizes citations { nodes { id titles { title } } } } } }` to get all the citations of all datasets in the API. Use `{ datasets { nodes { id sizes citations { nodes { id titles { title } } } } } }` to get all the citations of all datasets in the API. Use `{person(id:ORCID) {works(first:50) {nodes {id titles(first: 1){title} publicationYear}}}}` to get the first 50 works of a person based on their ORCID. All Ids are urls, e.g., https://orcid.org/0012-0000-1012-1110. Mutations statements are not allowed.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://api.datacite.org/graphql-openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://raw.githubusercontent.com/kjgarza/scholarly_graph_link/master/logo.png",
-  "contact_email": "kj.garza@gmail.com",
-  "legal_info_url": "https://github.com/kjgarza/scholarly_graph_link/blob/master/LICENSE"
-}

api/app/clients/tools/.well-known/has-issues/web_pilot.json

@@ -1,24 +0,0 @@
-{
-  "schema_version": "v1",
-  "name_for_human": "WebPilot",
-  "name_for_model": "web_pilot",
-  "description_for_human": "Browse & QA Webpage/PDF/Data. Generate articles, from one or more URLs.",
-  "description_for_model": "This tool allows users to provide a URL(or URLs) and optionally requests for interacting with, extracting specific information or how to do with the content from the URL. Requests may include rewrite, translate, and others. If there any requests, when accessing the /api/visit-web endpoint, the parameter 'user_has_request' should be set to 'true. And if there's no any requests, 'user_has_request' should be set to 'false'.",
-  "auth": {
-    "type": "none"
-  },
-  "api": {
-    "type": "openapi",
-    "url": "https://webreader.webpilotai.com/openapi.yaml",
-    "is_user_authenticated": false
-  },
-  "logo_url": "https://webreader.webpilotai.com/logo.png",
-  "contact_email": "dev@webpilot.ai",
-  "legal_info_url": "https://webreader.webpilotai.com/legal_info.html",
-  "headers": {
-    "id": "WebPilot-Friend-UID"
-  },
-  "params": {
-    "user_has_request": true
-  }
-}