.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

@@ -1,62 +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
-      # - OPENAI_REVERSE_PROXY=http://host.docker.internal:8070/v1
-      - 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

.do/gitnexus/Caddyfile

@@ -1,25 +0,0 @@
-# Caddy reverse proxy with bearer token auth and automatic HTTPS.
-# The domain is supplied via environment variable GITNEXUS_DOMAIN,
-# and the auth token via API_TOKEN. Both are set in docker-compose.yml.
-
-{$GITNEXUS_DOMAIN} {
-	# Health check — unauthenticated so monitoring can probe it
-	@health path /health
-	handle @health {
-		reverse_proxy gitnexus:4747 {
-			rewrite /api/info
-		}
-	}
-
-	# All other routes require bearer token
-	@authed {
-		header Authorization "Bearer {$API_TOKEN}"
-	}
-
-	handle @authed {
-		reverse_proxy gitnexus:4747
-	}
-
-	# Reject unauthenticated requests
-	respond "Unauthorized" 401
-}

.do/gitnexus/Dockerfile

@@ -1,45 +0,0 @@
-# Long-lived GitNexus image for DigitalOcean droplet deployment.
-#
-# This image does NOT bake in the index data. Indexes are mounted from
-# the host at /indexes/<repo>/.gitnexus/ and registered at container
-# startup. A fresh index only requires rsync + container restart — no
-# image rebuild on every push.
-
-FROM node:24-slim
-
-ARG GITNEXUS_VERSION=1.5.3
-
-# 1. Build native addons with Bookworm toolchain, then remove build tools.
-#    curl stays for the docker healthcheck; Caddy lives in its own container.
-RUN apt-get update \
-    && apt-get install -y --no-install-recommends python3 make g++ curl \
-    && npm install -g gitnexus@${GITNEXUS_VERSION} \
-    && apt-get purge -y --auto-remove python3 make g++ \
-    && rm -rf /var/lib/apt/lists/* /root/.npm
-
-# 2. Upgrade libstdc++ from Trixie — @ladybugdb/core prebuilt binary needs
-#    GLIBCXX_3.4.32 which Bookworm (3.4.31) doesn't ship.
-RUN echo "deb http://deb.debian.org/debian trixie main" > /etc/apt/sources.list.d/trixie.list \
-    && apt-get update \
-    && apt-get install -y -t trixie libstdc++6 \
-    && rm /etc/apt/sources.list.d/trixie.list \
-    && rm -rf /var/lib/apt/lists/*
-
-# 3. Pre-install LadybugDB FTS + vector extensions so ~/.kuzu/extension/
-#    is baked into the image. Workaround for upstream GitNexus 1.5.3 bug.
-COPY install-extensions.js /tmp/install-extensions.js
-RUN node /tmp/install-extensions.js && rm -rf /tmp/install-extensions.js /tmp/lbug-ext-install
-
-# 4. Patch lbug-adapter.js to also LOAD EXTENSION vector after FTS.
-RUN LBUG_ADAPTER=/usr/local/lib/node_modules/gitnexus/dist/mcp/core/lbug-adapter.js \
-    && grep -q "LOAD EXTENSION fts" "$LBUG_ADAPTER" \
-    && sed -i "s|await available\[0\]\.query('LOAD EXTENSION fts');|await available[0].query('LOAD EXTENSION fts'); try { await available[0].query('LOAD EXTENSION vector'); } catch (e) { /* vector extension may not be installed */ }|g" "$LBUG_ADAPTER" \
-    && grep -c "LOAD EXTENSION vector" "$LBUG_ADAPTER" \
-    && echo "lbug-adapter.js patched to load vector extension"
-
-COPY entrypoint.sh /entrypoint.sh
-RUN chmod +x /entrypoint.sh
-
-EXPOSE 4747
-
-ENTRYPOINT ["/entrypoint.sh"]

.do/gitnexus/docker-compose.yml

@@ -1,87 +0,0 @@
-# GitNexus stack for the DigitalOcean droplet.
-#
-# Two services: the gitnexus server (bound to an internal network only)
-# and a Caddy reverse proxy that handles TLS + auth.
-#
-# Index data lives on the host at /opt/gitnexus/indexes/ and is
-# bind-mounted read-write into the gitnexus container. The deploy
-# workflow rsyncs fresh indexes into that directory and restarts
-# only the gitnexus container — Caddy keeps running undisturbed.
-#
-# Break-glass: if gitnexus is stuck unhealthy and you need to restart
-# just Caddy (e.g. to push an emergency Caddyfile fix), the
-# `depends_on: condition: service_healthy` would block:
-#     docker compose up -d caddy
-# Use --no-deps to bypass the dependency check:
-#     docker compose up -d --no-deps caddy
-
-name: gitnexus
-
-# Shared logging defaults applied to both services so the droplet's
-# disk doesn't fill up with unbounded json-file logs.
-x-logging: &default-logging
-  driver: json-file
-  options:
-    max-size: '50m'
-    max-file: '3'
-
-services:
-  gitnexus:
-    # Override via GITNEXUS_IMAGE in /opt/gitnexus/.env to use a fork or
-    # a pinned version tag like :v1.5.3 for reproducible rollbacks.
-    image: ${GITNEXUS_IMAGE:-ghcr.io/danny-avila/librechat-gitnexus:latest}
-    container_name: gitnexus
-    restart: unless-stopped
-    networks:
-      - gitnexus-net
-    volumes:
-      - /opt/gitnexus/indexes:/indexes
-    # memswap_limit equal to mem_limit disables swap for this container.
-    # Without it, Docker lets the process silently swap onto host disk,
-    # turning sub-second graph queries into multi-second ones. Hard
-    # OOM-kill is preferable — the container restarts via unless-stopped,
-    # the deploy health poll catches it, and the failure is explicit.
-    mem_limit: 1792m
-    memswap_limit: 1792m
-    logging: *default-logging
-    healthcheck:
-      test: ['CMD', 'curl', '-fsS', 'http://127.0.0.1:4747/api/info']
-      interval: 30s
-      timeout: 5s
-      retries: 3
-      start_period: 60s
-
-  caddy:
-    image: caddy:2-alpine
-    container_name: gitnexus-caddy
-    restart: unless-stopped
-    # service_healthy (not just service_started) ensures Caddy doesn't
-    # start routing traffic until gitnexus passes its initial healthcheck
-    # on a cold `compose up`. This only governs initial startup ordering —
-    # during force-recreates of gitnexus, Caddy stays up and may briefly
-    # return 502 while the new gitnexus container binds its port. The
-    # deploy workflow's health poll catches any sustained failure.
-    depends_on:
-      gitnexus:
-        condition: service_healthy
-    ports:
-      - '80:80'
-      - '443:443'
-    networks:
-      - gitnexus-net
-    volumes:
-      - /opt/gitnexus/Caddyfile:/etc/caddy/Caddyfile:ro
-      - caddy-data:/data
-      - caddy-config:/config
-    logging: *default-logging
-    environment:
-      GITNEXUS_DOMAIN: ${GITNEXUS_DOMAIN}
-      API_TOKEN: ${API_TOKEN}
-
-networks:
-  gitnexus-net:
-    driver: bridge
-
-volumes:
-  caddy-data:
-  caddy-config:

.do/gitnexus/entrypoint.sh

@@ -1,48 +0,0 @@
-#!/bin/sh
-set -e
-
-# Cap Node heap below the container's cgroup limit (1792m in compose),
-# leaving room for @ladybugdb/core's C++ heap and OS overhead. Native
-# allocations happen outside V8's view, so a slim V8 budget is the only
-# thing between a heavy query and a cgroup OOM-kill. Without this cap,
-# gitnexus defaults to --max-old-space-size=8192 and reserves memory
-# the container doesn't have.
-export NODE_OPTIONS="${NODE_OPTIONS:---max-old-space-size=1280}"
-
-# Register every index mounted under /indexes/<name>/.gitnexus/.
-# This is idempotent — re-registering an existing repo updates the
-# metadata pointer without touching the index data.
-#
-# Registration failure handling:
-#   - main (LibreChat) and dev (LibreChat-dev) are critical. If either
-#     fails to register, exit 1 so docker marks the container unhealthy
-#     and the deploy workflow's readiness check surfaces the error.
-#   - PR indexes (LibreChat-pr-*) are best-effort. A corrupt PR index
-#     shouldn't take the whole server down.
-if [ -d /indexes ]; then
-  for dir in /indexes/*/; do
-    [ -d "$dir" ] || continue
-    name=$(basename "$dir")
-    [ -d "$dir.gitnexus" ] || continue
-    echo "Registering index: $name"
-    if ! gitnexus index "$dir" --allow-non-git; then
-      case "$name" in
-        LibreChat|LibreChat-dev)
-          echo "ERROR: failed to register critical index $name" >&2
-          exit 1
-          ;;
-        *)
-          echo "WARN: failed to register PR index $name — skipping" >&2
-          ;;
-      esac
-    fi
-  done
-else
-  echo "WARN: /indexes directory not mounted" >&2
-fi
-
-# Bind 0.0.0.0 inside the container so Caddy (in a separate container
-# on the same docker network) can reach gitnexus at gitnexus:4747.
-# docker-compose.yml intentionally does NOT expose port 4747 on the
-# host — only Caddy's 80/443 are published.
-exec gitnexus serve --host 0.0.0.0 --port 4747

.do/gitnexus/install-extensions.js

@@ -1,46 +0,0 @@
-/**
- * Pre-install LadybugDB extensions (FTS + vector) into the Docker image's
- * extension cache (~/.kuzu/extension/). Without this, gitnexus serve's
- * lbug-adapter calls LOAD EXTENSION fts at runtime but fails silently
- * because the extension was never installed, causing all BM25 and
- * semantic queries via the query() tool to return empty.
- *
- * Workaround for upstream GitNexus 1.5.3 bug where the CI-produced
- * .gitnexus/ artifact doesn't include the extension cache.
- */
-
-const path = require('path');
-const fs = require('fs');
-
-// @ladybugdb/core lives under the globally-installed gitnexus package.
-// This path is stable across gitnexus versions because npm always nests
-// transitive deps under the installed package's node_modules.
-const lbugPath = '/usr/local/lib/node_modules/gitnexus/node_modules/@ladybugdb/core';
-const lbug = require(lbugPath);
-
-const tmpDir = '/tmp/lbug-ext-install';
-fs.mkdirSync(tmpDir, { recursive: true });
-
-// Open a throwaway database just to run INSTALL against. The extension
-// cache persists in ~/.kuzu/extension/ regardless of which database was
-// used to install it, so the throwaway db and tmpDir are deleted in the
-// Dockerfile after this script finishes.
-const db = new lbug.Database(path.join(tmpDir, 'db'), 0, false, false);
-const conn = new lbug.Connection(db);
-
-(async () => {
-  try {
-    await conn.query('INSTALL fts');
-    console.log('FTS extension installed');
-  } catch (err) {
-    console.error('FTS install failed:', err.message);
-    process.exit(1);
-  }
-  try {
-    await conn.query('INSTALL vector');
-    console.log('Vector extension installed');
-  } catch (err) {
-    console.error('Vector install failed:', err.message);
-    process.exit(1);
-  }
-})();

.dockerignore

@@ -1,17 +1,2 @@
-**/.circleci
-**/.editorconfig
-**/.dockerignore
-**/.git
-**/.DS_Store
-**/.vscode
 **/node_modules
-
-# Specific patterns to ignore
-data-node
-meili_data*
-librechat*
-Dockerfile*
-docs
-
-# Ignore all hidden files
-.*
+**/.env

.env.example

@@ -1,879 +0,0 @@
-#=====================================================================#
-#                       LibreChat Configuration                       #
-#=====================================================================#
-# Please refer to the reference documentation for assistance          #
-# with configuring your LibreChat environment.                        #
-#                                                                     #
-# https://www.librechat.ai/docs/configuration/dotenv                  #
-#=====================================================================#
-
-#==================================================#
-#               Server Configuration               #
-#==================================================#
-
-HOST=localhost
-PORT=3080
-
-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
-
-# When enabled, the app will continue running after encountering uncaught exceptions
-# instead of exiting the process. Not recommended for production unless necessary.
-# CONTINUE_ON_UNCAUGHT_EXCEPTION=false
-
-#===============#
-# JSON Logging  #
-#===============#
-
-# Use when process console logs in cloud deployment like GCP/AWS
-CONSOLE_JSON=false
-
-#===============#
-# Debug Logging #
-#===============#
-
-DEBUG_LOGGING=true
-DEBUG_CONSOLE=false
-# Set to true to enable agent debug logging
-AGENT_DEBUG_LOGGING=false
-
-# Enable memory diagnostics (logs heap/RSS snapshots every 60s, auto-enabled with --inspect)
-# MEM_DIAG=true
-
-#=============#
-# Permissions #
-#=============#
-
-# UID=1000
-# GID=1000
-
-#==============#
-# Node Options #
-#==============#
-
-# NOTE: NODE_MAX_OLD_SPACE_SIZE is NOT recognized by Node.js directly.
-# This variable is used as a build argument for Docker or CI/CD workflows,
-# and is NOT used by Node.js to set the heap size at runtime.
-# To configure Node.js memory, use NODE_OPTIONS, e.g.:
-# NODE_OPTIONS="--max-old-space-size=6144"
-# See: https://nodejs.org/api/cli.html#--max-old-space-sizesize-in-mib
-NODE_MAX_OLD_SPACE_SIZE=6144
-
-#===============#
-# Configuration #
-#===============#
-# Use an absolute path, a relative path, or a URL
-
-# CONFIG_PATH="/alternative/path/to/librechat.yaml"
-
-#==================#
-# Langfuse Tracing #
-#==================#
-
-# Get Langfuse API keys for your project from the project settings page: https://cloud.langfuse.com
-
-# LANGFUSE_PUBLIC_KEY=
-# LANGFUSE_SECRET_KEY=
-# LANGFUSE_BASE_URL=
-
-#===================================================#
-#                     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-4-7,claude-sonnet-4-6,claude-opus-4-6,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=
-
-# Set to true to use Anthropic models through Google Vertex AI instead of direct API
-# ANTHROPIC_USE_VERTEX=
-# ANTHROPIC_VERTEX_REGION=us-east5
-
-#============#
-# 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
-
-#=================#
-#   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-opus-4-7,anthropic.claude-sonnet-4-6,anthropic.claude-opus-4-6-v1,anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
-# Cross-region inference model IDs: us.anthropic.claude-opus-4-7,us.anthropic.claude-sonnet-4-6,us.anthropic.claude-opus-4-6-v1,global.anthropic.claude-opus-4-6-v1
-
-# 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-3.1-pro-preview,gemini-3.1-pro-preview-customtools,gemini-3.1-flash-lite-preview,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-3.1-pro-preview,gemini-3.1-pro-preview-customtools,gemini-3.1-flash-lite-preview,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 Cloud region for Vertex AI (used by both chat and image generation)
-# GOOGLE_LOC=us-central1
-
-# Alternative region env var for Gemini Image Generation
-# GOOGLE_CLOUD_LOCATION=global
-
-# Vertex AI Service Account Configuration
-# Path to your Google Cloud service account JSON file
-# GOOGLE_SERVICE_KEY_FILE=/path/to/service-account.json
-
-# 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
-
-#========================#
-# Gemini Image Generation #
-#========================#
-
-# Gemini Image Generation Tool (for Agents)
-# Supports multiple authentication methods in priority order:
-# 1. User-provided API key (via GUI)
-# 2. GEMINI_API_KEY env var (admin-configured)
-# 3. GOOGLE_KEY env var (shared with Google chat endpoint)
-# 4. Vertex AI service account (via GOOGLE_SERVICE_KEY_FILE)
-
-# Option A: Use dedicated Gemini API key for image generation
-# GEMINI_API_KEY=your-gemini-api-key
-
-# Vertex AI model for image generation (defaults to gemini-2.5-flash-image)
-# GEMINI_IMAGE_MODEL=gemini-2.5-flash-image
-
-#============#
-# OpenAI     #
-#============#
-
-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
-
-# OPENAI_REVERSE_PROXY=
-
-# OPENAI_ORGANIZATION=
-
-#====================#
-#   Assistants API   #
-#====================#
-
-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 Assistants API   #
-#==========================#
-
-# Note: You should map your credentials with custom variables according to your Azure OpenAI Configuration
-# The models for Azure Assistants are also determined by your Azure OpenAI configuration.
-
-# More info, including how to enable use of Assistants with Azure here:
-# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure#using-assistants-with-azure
-
-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_MODEL=gpt-image-1 # OpenAI image model (e.g., gpt-image-1, gpt-image-1.5)
-# 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=
-GOOGLE_CSE_ID=
-
-# Stable Diffusion
-#-----------------
-SD_WEBUI_URL=http://host.docker.internal:7860
-
-# Tavily
-#-----------------
-TAVILY_API_KEY=
-
-# Traversaal
-#-----------------
-TRAVERSAAL_API_KEY=
-
-# WolframAlpha
-#-----------------
-WOLFRAM_APP_ID=
-
-# Zapier
-#-----------------
-ZAPIER_NLA_API_KEY=
-
-#==================================================#
-#                      Search                      #
-#==================================================#
-
-SEARCH=true
-MEILI_NO_ANALYTICS=true
-MEILI_HOST=http://0.0.0.0:7700
-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
-
-#==================================================#
-#          Speech to Text & Text to Speech         #
-#==================================================#
-
-STT_API_KEY=
-TTS_API_KEY=
-
-#==================================================#
-#                        RAG                       #
-#==================================================#
-# More info: https://www.librechat.ai/docs/configuration/rag_api
-
-# RAG_API_URL=http://rag_api:8000
-# 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_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
-
-# 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=
-# Set to determine which user info claim to use as the email/identifier for user matching (e.g., "upn" for Entra ID)
-# When not set, defaults to: email -> preferred_username -> upn
-OPENID_EMAIL_CLAIM=
-# Optional audience parameter for OpenID authorization requests
-OPENID_AUDIENCE=
-
-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=
-# URL to redirect to after OpenID logout (defaults to ${DOMAIN_CLIENT}/login)
-OPENID_POST_LOGOUT_REDIRECT_URI=
-# Maximum logout URL length before using logout_hint instead of id_token_hint (default: 2000)
-OPENID_MAX_LOGOUT_URL_LENGTH=
-
-#========================#
-# SharePoint Integration #
-#========================#
-# Requires Entra ID (OpenID) authentication to be configured
-
-# Enable SharePoint file picker in chat and agent panels
-# ENABLE_SHAREPOINT_FILEPICKER=true
-
-# SharePoint tenant base URL (e.g., https://yourtenant.sharepoint.com)
-# SHAREPOINT_BASE_URL=https://yourtenant.sharepoint.com
-
-# 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
-#========================#
-
-# 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=
-# Leave both empty for SMTP servers that do not require authentication
-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=
-# Required for path-style S3-compatible providers (MinIO, Hetzner, Backblaze B2, etc.)
-# that don't support virtual-hosted-style URLs (bucket.endpoint). Not needed for AWS S3.
-# AWS_FORCE_PATH_STYLE=false
-
-#========================#
-# Azure Blob Storage     #
-#========================#
-
-AZURE_STORAGE_CONNECTION_STRING=
-AZURE_STORAGE_PUBLIC_ACCESS=false
-AZURE_CONTAINER_NAME=files
-
-#========================#
-# Shared Links           #
-#========================#
-
-ALLOW_SHARED_LINKS=true
-# Allows unauthenticated access to shared links. Defaults to false (auth required) if not set.
-ALLOW_SHARED_LINKS_PUBLIC=false
-
-#==============================#
-# 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
-# Enable Redis for resumable LLM streams (defaults to USE_REDIS value if not set)
-# Set to false to use in-memory storage for streams while keeping Redis for other caches
-# USE_REDIS_STREAMS=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
-# Defaults to CONFIG_STORE,APP_CONFIG so YAML-derived config stays per-container (safe for blue/green deployments)
-# Set to empty string to force all namespaces through Redis: FORCED_IN_MEMORY_CACHE_NAMESPACES=
-# FORCED_IN_MEMORY_CACHE_NAMESPACES=CONFIG_STORE,APP_CONFIG
-
-# 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
-
-# Circuit breaker: max connect/disconnect cycles before tripping (per server)
-# MCP_CB_MAX_CYCLES=7
-
-# Circuit breaker: sliding window (ms) for counting cycles
-# MCP_CB_CYCLE_WINDOW_MS=45000
-
-# Circuit breaker: cooldown (ms) after the cycle breaker trips
-# MCP_CB_CYCLE_COOLDOWN_MS=15000
-
-# Circuit breaker: max consecutive failed connection rounds before backoff
-# MCP_CB_MAX_FAILED_ROUNDS=3
-
-# Circuit breaker: sliding window (ms) for counting failed rounds
-# MCP_CB_FAILED_WINDOW_MS=120000
-
-# Circuit breaker: base backoff (ms) after failed round threshold is reached
-# MCP_CB_BASE_BACKOFF_MS=30000
-
-# Circuit breaker: max backoff cap (ms) for exponential backoff
-# MCP_CB_MAX_BACKOFF_MS=300000

.gitattributes

@@ -1,3 +0,0 @@
-# Force LF line endings for shell scripts and git hooks (required for cross-platform compatibility)
-.husky/* text eol=lf
-*.sh text eol=lf

.github/CODE_OF_CONDUCT.md

@@ -1,132 +0,0 @@
-# Contributor Covenant Code of Conduct
-
-## Our Pledge
-
-We as members, contributors, and leaders pledge to make participation in our
-community a harassment-free experience for everyone, regardless of age, body
-size, visible or invisible disability, ethnicity, sex characteristics, gender
-identity and expression, level of experience, education, socio-economic status,
-nationality, personal appearance, race, religion, or sexual identity
-and orientation.
-
-We pledge to act and interact in ways that contribute to an open, welcoming,
-diverse, inclusive, and healthy community.
-
-## Our Standards
-
-Examples of behavior that contributes to a positive environment for our
-community include:
-
-* Demonstrating empathy and kindness toward other people
-* Being respectful of differing opinions, viewpoints, and experiences
-* Giving and gracefully accepting constructive feedback
-* Accepting responsibility and apologizing to those affected by our mistakes,
-  and learning from the experience
-* Focusing on what is best not just for us as individuals, but for the
-  overall community
-
-Examples of unacceptable behavior include:
-
-* The use of sexualized language or imagery, and sexual attention or
-  advances of any kind
-* Trolling, insulting or derogatory comments, and personal or political attacks
-* Public or private harassment
-* Publishing others' private information, such as a physical or email
-  address, without their explicit permission
-* Other conduct which could reasonably be considered inappropriate in a
-  professional setting
-
-## Enforcement Responsibilities
-
-Community leaders are responsible for clarifying and enforcing our standards of
-acceptable behavior and will take appropriate and fair corrective action in
-response to any behavior that they deem inappropriate, threatening, offensive,
-or harmful.
-
-Community leaders have the right and responsibility to remove, edit, or reject
-comments, commits, code, wiki edits, issues, and other contributions that are
-not aligned to this Code of Conduct, and will communicate reasons for moderation
-decisions when appropriate.
-
-## Scope
-
-This Code of Conduct applies within all community spaces, and also applies when
-an individual is officially representing the community in public spaces.
-Examples of representing our community include using an official e-mail address,
-posting via an official social media account, or acting as an appointed
-representative at an online or offline event.
-
-## Enforcement
-
-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). 
-All complaints will be reviewed and investigated promptly and fairly.
-
-All community leaders are obligated to respect the privacy and security of the
-reporter of any incident.
-
-## Enforcement Guidelines
-
-Community leaders will follow these Community Impact Guidelines in determining
-the consequences for any action they deem in violation of this Code of Conduct:
-
-### 1. Correction
-
-**Community Impact**: Use of inappropriate language or other behavior deemed
-unprofessional or unwelcome in the community.
-
-**Consequence**: A private, written warning from community leaders, providing
-clarity around the nature of the violation and an explanation of why the
-behavior was inappropriate. A public apology may be requested.
-
-### 2. Warning
-
-**Community Impact**: A violation through a single incident or series
-of actions.
-
-**Consequence**: A warning with consequences for continued behavior. No
-interaction with the people involved, including unsolicited interaction with
-those enforcing the Code of Conduct, for a specified period of time. This
-includes avoiding interactions in community spaces as well as external channels
-like social media. Violating these terms may lead to a temporary or
-permanent ban.
-
-### 3. Temporary Ban
-
-**Community Impact**: A serious violation of community standards, including
-sustained inappropriate behavior.
-
-**Consequence**: A temporary ban from any sort of interaction or public
-communication with the community for a specified period of time. No public or
-private interaction with the people involved, including unsolicited interaction
-with those enforcing the Code of Conduct, is allowed during this period.
-Violating these terms may lead to a permanent ban.
-
-### 4. Permanent Ban
-
-**Community Impact**: Demonstrating a pattern of violation of community
-standards, including sustained inappropriate behavior,  harassment of an
-individual, or aggression toward or disparagement of classes of individuals.
-
-**Consequence**: A permanent ban from any sort of public interaction within
-the community.
-
-## Attribution
-
-This Code of Conduct is adapted from the [Contributor Covenant][homepage],
-version 2.0, available at
-https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
-
-Community Impact Guidelines were inspired by [Mozilla's code of conduct
-enforcement ladder](https://github.com/mozilla/diversity).
-
-[homepage]: https://www.contributor-covenant.org
-
-For answers to common questions about this code of conduct, see the FAQ at
-https://www.contributor-covenant.org/faq. Translations are available at
-https://www.contributor-covenant.org/translations.
-
----
-
-## [Go Back to ReadMe](../README.md)

.github/CONTRIBUTING.md

@@ -1,159 +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 v20.19.0+ or ^22.12.0 or >= 23.0.0.
-2. Run `npm run smart-reinstall` to install dependencies (uses Turborepo). Use `npm run reinstall` for a clean install, or `npm ci` for a fresh lockfile-based install.
-3. Build all compiled code: `npm run build`.
-4. 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`.
-5. Setup and run integration tests:
-    - 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`.
-2. 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. To check for introduced errors, build all compiled code: `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. Coding Standards
-
-For detailed coding conventions, workspace boundaries, and architecture guidance, refer to the [`AGENTS.md`](../AGENTS.md) file at the project root. It covers code style, type safety, import ordering, iteration/performance expectations, frontend rules, testing, and development commands.
-
-## 8. TypeScript Conversion
-
-1. **Original State**: The project was initially developed entirely in JavaScript (JS).
-
-2. **Frontend**: Fully transitioned to TypeScript.
-
-3. **Backend**:
-   - The legacy Express.js server remains in `/api` as JavaScript.
-   - All new backend code is written in TypeScript under `/packages/api`, which is compiled and consumed by `/api`.
-   - Shared database logic lives in `/packages/data-schemas` (TypeScript).
-   - Shared frontend/backend API types and services live in `/packages/data-provider` (TypeScript).
-   - Minimize direct changes to `/api`; prefer adding TypeScript code to `/packages/api` and importing it.
-
-## 9. Module Import Conventions
-
-Imports are organized into three sections (in order):
-
-1. **Package imports** — sorted from shortest to longest line length.
-   - `react` is always the first import.
-   - Multi-line (stacked) imports count their total character length across all lines for sorting.
-
-2. **`import type` imports** — sorted from longest to shortest line length.
-   - Package type imports come first, then local type imports.
-   - Line length sorting resets between the package and local sub-groups.
-
-3. **Local/project imports** — sorted from longest to shortest line length.
-   - Multi-line (stacked) imports count their total character length across all lines for sorting.
-   - Imports with alias `~` are treated the same as relative imports with respect to line length.
-
-- Consolidate value imports from the same module as much as possible.
-- Always use standalone `import type { ... }` for type imports; never use inline `type` keyword inside value imports (e.g., `import { Foo, type Bar }` is wrong).
-
-**Note:** ESLint will automatically enforce these import conventions when you run `npm run lint --fix` or through pre-commit hooks.
-
-For the full set of coding standards, see [`AGENTS.md`](../AGENTS.md).
-
----
-
-## [Go Back to ReadMe](../README.md)

.github/FUNDING.yml

@@ -1,13 +0,0 @@
-# These are supported funding model platforms
-
-github: [danny-avila]
-patreon: # Replace with a single Patreon username
-open_collective: # Replace with a single Open Collective username
-ko_fi: # Replace with a single Ko-fi username
-tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
-community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
-liberapay: # Replace with a single Liberapay username
-issuehunt: # Replace with a single IssueHunt username
-otechie: # Replace with a single Otechie username
-lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
-custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

.github/ISSUE_TEMPLATE/BUG-REPORT.yml

@@ -1,96 +0,0 @@
-name: Bug Report
-description: File a bug report
-title: "[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: textarea
-    id: what-happened
-    attributes:
-      label: What happened?
-      description: Also tell us, what did you expect to happen?
-      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:
-      label: Steps to Reproduce
-      description: Please list the steps needed to reproduce the issue.
-      placeholder: "1. Step 1\n2. Step 2\n3. Step 3"
-    validations:
-      required: true
-  - type: dropdown
-    id: browsers
-    attributes:
-      label: What browsers are you seeing the problem on?
-      multiple: true
-      options:
-        - Firefox
-        - Chrome
-        - Safari
-        - Microsoft Edge
-        - Mobile (iOS)
-        - Mobile (Android)
-  - type: textarea
-    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.
-      render: shell
-    validations:
-      required: true
-  - 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/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/FEATURE-REQUEST.yml

@@ -1,49 +0,0 @@
-name: Feature Request
-description: File a feature request
-title: "[Enhancement]: "
-labels: ["✨ enhancement"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thank you for taking the time to fill this out!
-  - type: textarea
-    id: what
-    attributes:
-      label: What features would you like to see added?
-      description: Please provide as many details as possible.
-      placeholder: Please provide as many details as possible.
-    validations:
-      required: true
-  - type: textarea
-    id: details
-    attributes:
-      label: More details
-      description: Please provide additional details if needed.
-      placeholder: Please provide additional details if needed.
-    validations:
-      required: true
-  - type: dropdown
-    id: subject
-    attributes:
-      label: Which components are impacted by your request?
-      multiple: true
-      options:
-        - General
-        - UI
-        - Endpoints
-        - Plugins
-        - Other
-  - type: textarea
-    id: screenshots
-    attributes:
-      label: Pictures
-      description: If relevant, please include images to help clarify your request. You can drag and drop images directly here, paste them, or provide a 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/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/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/SECURITY.md

@@ -1,63 +0,0 @@
-# Security Policy
-
-At LibreChat, we prioritize the security of our project and value the contributions of security researchers in helping us improve the security of our codebase. If you discover a security vulnerability within our project, we appreciate your responsible disclosure. Please follow the guidelines below to report any vulnerabilities to us:
-
-**Note: Only report sensitive vulnerability details via the appropriate private communication channels mentioned below. Public channels, such as GitHub issues and Discord, should be used for initiating contact and establishing private communication channels.**
-
-## Communication Channels
-
-When reporting a security vulnerability, you have the following options to reach out to us:
-
-- **Option 1: GitHub Security Advisory System**: We encourage you to use GitHub's Security Advisory system to report any security vulnerabilities you find. This allows us to receive vulnerability reports directly through GitHub. For more information on how to submit a security advisory report, please refer to the [GitHub Security Advisories documentation](https://docs.github.com/en/code-security/getting-started-with-security-vulnerability-alerts/about-github-security-advisories).
-
-- **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.
-
-_After the initial contact, we will establish a private communication channel for further discussion._
-
-### When submitting a vulnerability report, please provide us with the following information:
-
-- A clear description of the vulnerability, including steps to reproduce it.
-- The version(s) of the project affected by the vulnerability.
-- Any additional information that may be useful for understanding and addressing the issue.
-
-We strive to acknowledge vulnerability reports within 72 hours and will keep you informed of the progress towards resolution.
-
-## Security Updates and Patching
-
-We are committed to maintaining the security of our open-source project, LibreChat, and promptly addressing any identified vulnerabilities. To ensure the security of our project, we adhere to the following practices:
-
-- We prioritize security updates for the current major release of our software.
-- We actively monitor the GitHub Security Advisory system and the `#issues` channel on Discord for any vulnerability reports.
-- We promptly review and validate reported vulnerabilities and take appropriate actions to address them.
-- We release security patches and updates in a timely manner to mitigate any identified vulnerabilities.
-
-Please note that as a security-conscious community, we may not always disclose detailed information about security issues until we have determined that doing so would not put our users or the project at risk. We appreciate your understanding and cooperation in these matters.
-
-## Scope
-
-This security policy applies to the following GitHub repository:
-
-- Repository: [LibreChat](https://github.librechat.ai)
-
-## 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.
-
-## Acknowledgments
-
-We would like to express our gratitude to the security researchers and community members who help us improve the security of our project. Your contributions are invaluable, and we sincerely appreciate your efforts.
-
-## Bug Bounty Program
-
-We currently do not have a bug bounty program in place. However, we welcome and appreciate any
-
- security-related contributions through pull requests (PRs) that address vulnerabilities in our codebase. We believe in the power of collaboration to improve the security of our project and invite you to join us in making it more robust.
-
-**Reference**
-- https://cheatsheetseries.owasp.org/cheatsheets/Vulnerability_Disclosure_Cheat_Sheet.html
-
----
-
-## [Go Back to ReadMe](../README.md)

.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/playwright.yml

@@ -1,72 +0,0 @@
-# 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: Install global dependencies
-#         run: npm ci
-
-#       # - name: Remove sharp dependency
-#       #   run: rm -rf node_modules/sharp
-
-#       # - name: Install sharp with linux dependencies
-#       #   run: cd api && SHARP_IGNORE_GLOBAL_LIBVIPS=1 npm install --arch=x64 --platform=linux --libc=glibc sharp
-
-#       - name: Build Client
-#         run: npm run frontend
-
-#       - name: Install Playwright
-#         run: |
-#           npx playwright install-deps
-#           npm install -D @playwright/test@latest
-#           npx playwright install chromium
-
-#       - name: Run Playwright tests
-#         run: npm run e2e:ci
-
-#       - name: Upload playwright report
-#         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 +0,0 @@
-# Pull Request Template
-
-⚠️ Before Submitting a PR, Please Review:
-- Please ensure that you have thoroughly read and understood the [Contributing Docs](https://github.com/danny-avila/LibreChat/blob/main/.github/CONTRIBUTING.md) before submitting your Pull Request.
-
-⚠️ Documentation Updates Notice:
-- Kindly note that documentation updates are managed in this repository: [librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
-
-## Summary
-
-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.
-
-- [ ] 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
-
-## Testing
-
-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.
-
-- [ ] 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.

.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

@@ -1,416 +0,0 @@
-name: Backend Unit Tests
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - dev-staging
-      - release/*
-    paths:
-      - 'api/**'
-      - 'packages/**'
-
-env:
-  NODE_ENV: CI
-  NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
-
-jobs:
-  build:
-    name: Build packages
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Restore data-provider build cache
-        id: cache-data-provider
-        uses: actions/cache@v4
-        with:
-          path: packages/data-provider/dist
-          key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/rollup.config.js', 'packages/data-provider/package.json') }}
-
-      - name: Build data-provider
-        if: steps.cache-data-provider.outputs.cache-hit != 'true'
-        run: npm run build:data-provider
-
-      - name: Restore data-schemas build cache
-        id: cache-data-schemas
-        uses: actions/cache@v4
-        with:
-          path: packages/data-schemas/dist
-          key: build-data-schemas-${{ runner.os }}-${{ hashFiles('packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/rollup.config.js', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/rollup.config.js', 'packages/data-provider/package.json') }}
-
-      - name: Build data-schemas
-        if: steps.cache-data-schemas.outputs.cache-hit != 'true'
-        run: npm run build:data-schemas
-
-      - name: Restore api build cache
-        id: cache-api
-        uses: actions/cache@v4
-        with:
-          path: packages/api/dist
-          key: build-api-${{ runner.os }}-${{ hashFiles('packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/server-rollup.config.js', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/rollup.config.js', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/rollup.config.js', 'packages/data-schemas/package.json') }}
-
-      - name: Build api
-        if: steps.cache-api.outputs.cache-hit != 'true'
-        run: npm run build:api
-
-      - name: Upload data-provider build
-        uses: actions/upload-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-          retention-days: 2
-
-      - name: Upload data-schemas build
-        uses: actions/upload-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-          retention-days: 2
-
-      - name: Upload api build
-        uses: actions/upload-artifact@v4
-        with:
-          name: build-api
-          path: packages/api/dist
-          retention-days: 2
-
-  typecheck:
-    name: TypeScript type checks
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download data-schemas build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-
-      - name: Download api build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-api
-          path: packages/api/dist
-
-      - name: Type check data-provider
-        run: npx tsc --noEmit -p packages/data-provider/tsconfig.json
-
-      - name: Type check data-schemas
-        run: npx tsc --noEmit -p packages/data-schemas/tsconfig.json
-
-      - name: Type check @librechat/api
-        run: npx tsc --noEmit -p packages/api/tsconfig.json
-
-      - name: Type check @librechat/client
-        run: npx tsc --noEmit -p packages/client/tsconfig.json
-
-  circular-deps:
-    name: Circular dependency checks
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download data-schemas build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-
-      - name: Rebuild @librechat/api and check for circular dependencies
-        run: |
-          output=$(npm run build:api 2>&1)
-          echo "$output"
-          if echo "$output" | grep -q "Circular depend"; then
-            echo "Error: Circular dependency detected in @librechat/api!"
-            exit 1
-          fi
-
-      - name: Detect circular dependencies 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
-
-  test-api:
-    name: 'Tests: api'
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    env:
-      MONGO_URI: ${{ secrets.MONGO_URI }}
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      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: ${{ secrets.BAN_INTERVAL }}
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download data-schemas build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-
-      - name: Download api build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-api
-          path: packages/api/dist
-
-      - name: Create empty auth.json file
-        run: |
-          mkdir -p api/data
-          echo '{}' > api/data/auth.json
-
-      - name: Prepare .env.test file
-        run: cp api/test/.env.test.example api/test/.env.test
-
-      - name: Run unit tests
-        run: cd api && npm run test:ci
-
-  test-data-provider:
-    name: 'Tests: data-provider'
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Run unit tests
-        run: cd packages/data-provider && npm run test:ci
-
-  test-data-schemas:
-    name: 'Tests: data-schemas'
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download data-schemas build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-
-      - name: Run unit tests
-        run: cd packages/data-schemas && npm run test:ci
-
-  test-packages-api:
-    name: 'Tests: @librechat/api'
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            api/node_modules
-            packages/api/node_modules
-            packages/data-provider/node_modules
-            packages/data-schemas/node_modules
-          key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download data-schemas build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-schemas
-          path: packages/data-schemas/dist
-
-      - name: Download api build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-api
-          path: packages/api/dist
-
-      - name: Run unit tests
-        run: cd packages/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

@@ -1,91 +0,0 @@
-name: Cache Integration Tests
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - dev-staging
-      - release/*
-    paths:
-      - 'packages/api/src/cache/**'
-      - 'packages/api/src/cluster/**'
-      - 'packages/api/src/mcp/**'
-      - 'packages/api/src/stream/**'
-      - '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

@@ -1,64 +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'
-
-permissions:
-  id-token: write  # Required for OIDC trusted publishing
-  contents: read
-
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-latest
-    environment: publish  # Must match npm trusted publisher config
-    steps:
-      - uses: actions/checkout@v4
-      
-      - name: Use Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.x'
-          registry-url: 'https://registry.npmjs.org'
-      
-      - name: Update npm for OIDC support
-        run: npm install -g npm@latest  # Must be 11.5.1+ for provenance
-        
-      - name: Install client dependencies
-        run: cd packages/client && npm ci
-        
-      - name: Build client
-        run: cd packages/client && npm run build
-        
-      - 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 --provenance

.github/workflows/data-provider.yml

@@ -1,47 +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'
-
-permissions:
-  id-token: write  # Required for OIDC trusted publishing
-  contents: read
-
-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
-    environment: publish  # Must match npm trusted publisher config
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          registry-url: 'https://registry.npmjs.org'
-      
-      - name: Update npm for OIDC support
-        run: npm install -g npm@latest  # Must be 11.5.1+ for provenance
-      
-      - run: cd packages/data-provider && npm ci
-      - run: cd packages/data-provider && npm run build
-      - run: cd packages/data-provider && npm publish --provenance

.github/workflows/data-schemas.yml

@@ -1,64 +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'
-
-permissions:
-  id-token: write  # Required for OIDC trusted publishing
-  contents: read
-
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-latest
-    environment: publish  # Must match npm trusted publisher config
-    steps:
-      - uses: actions/checkout@v4
-      
-      - name: Use Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.x'
-          registry-url: 'https://registry.npmjs.org'
-      
-      - name: Update npm for OIDC support
-        run: npm install -g npm@latest  # Must be 11.5.1+ for provenance
-          
-      - name: Install dependencies
-        run: cd packages/data-schemas && npm ci
-        
-      - name: Build
-        run: cd packages/data-schemas && npm run build
-        
-      - 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 --provenance

.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/dev-staging-images.yml

@@ -1,66 +0,0 @@
-name: Docker Dev Staging Images Build
-
-on:
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        include:
-          - target: api-build
-            file: Dockerfile.multi
-            image_name: lc-dev-staging-api
-          - target: node
-            file: Dockerfile
-            image_name: lc-dev-staging
-
-    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

@@ -1,60 +0,0 @@
-name: ESLint Code Quality Checks
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - dev-staging
-      - 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

@@ -1,210 +0,0 @@
-name: Frontend Unit Tests
-
-on:
-  pull_request:
-    branches:
-      - main
-      - dev
-      - dev-staging
-      - release/*
-    paths:
-      - 'client/**'
-      - 'packages/data-provider/**'
-
-env:
-  NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
-
-jobs:
-  build:
-    name: Build packages
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            client/node_modules
-            packages/client/node_modules
-            packages/data-provider/node_modules
-          key: node-modules-frontend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Restore data-provider build cache
-        id: cache-data-provider
-        uses: actions/cache@v4
-        with:
-          path: packages/data-provider/dist
-          key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/rollup.config.js', 'packages/data-provider/package.json') }}
-
-      - name: Build data-provider
-        if: steps.cache-data-provider.outputs.cache-hit != 'true'
-        run: npm run build:data-provider
-
-      - name: Restore client-package build cache
-        id: cache-client-package
-        uses: actions/cache@v4
-        with:
-          path: packages/client/dist
-          key: build-client-package-${{ runner.os }}-${{ hashFiles('packages/client/src/**', 'packages/client/tsconfig*.json', 'packages/client/rollup.config.js', 'packages/client/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/rollup.config.js', 'packages/data-provider/package.json') }}
-
-      - name: Build client-package
-        if: steps.cache-client-package.outputs.cache-hit != 'true'
-        run: npm run build:client-package
-
-      - name: Upload data-provider build
-        uses: actions/upload-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-          retention-days: 2
-
-      - name: Upload client-package build
-        uses: actions/upload-artifact@v4
-        with:
-          name: build-client-package
-          path: packages/client/dist
-          retention-days: 2
-
-  test-ubuntu:
-    name: 'Tests: Ubuntu'
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            client/node_modules
-            packages/client/node_modules
-            packages/data-provider/node_modules
-          key: node-modules-frontend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download client-package build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-client-package
-          path: packages/client/dist
-
-      - name: Run unit tests
-        run: npm run test:ci --verbose
-        working-directory: client
-
-  test-windows:
-    name: 'Tests: Windows'
-    needs: build
-    runs-on: windows-latest
-    timeout-minutes: 20
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            client/node_modules
-            packages/client/node_modules
-            packages/data-provider/node_modules
-          key: node-modules-frontend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download client-package build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-client-package
-          path: packages/client/dist
-
-      - name: Run unit tests
-        run: npm run test:ci --verbose
-        working-directory: client
-
-  build-verify:
-    name: Vite build verification
-    needs: build
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Use Node.js 20.19
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20.19'
-
-      - name: Restore node_modules cache
-        id: cache-node-modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            client/node_modules
-            packages/client/node_modules
-            packages/data-provider/node_modules
-          key: node-modules-frontend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
-
-      - name: Install dependencies
-        if: steps.cache-node-modules.outputs.cache-hit != 'true'
-        run: npm ci
-
-      - name: Download data-provider build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-data-provider
-          path: packages/data-provider/dist
-
-      - name: Download client-package build
-        uses: actions/download-artifact@v4
-        with:
-          name: build-client-package
-          path: packages/client/dist
-
-      - name: Build client
-        run: cd client && npm run build: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/gitnexus-cleanup-pr.yml

@@ -1,91 +0,0 @@
-# Removes a PR's GitNexus index from the droplet when the PR is closed
-# (merged or not). The deploy workflow also prunes stale folders as a
-# safety net, but this gives us immediate cleanup without waiting for
-# the next deploy trigger.
-
-name: GitNexus Cleanup PR
-
-on:
-  pull_request:
-    types: [closed]
-
-permissions:
-  contents: read
-  actions: read
-
-concurrency:
-  group: gitnexus-cleanup-pr-${{ github.event.pull_request.number }}
-  cancel-in-progress: false
-
-jobs:
-  cleanup:
-    # Skip fork PRs entirely. GitHub withholds repository secrets from
-    # pull_request events originating on forks, so an SSH deploy job run
-    # from a fork close would fail noisily. The deploy workflow's stale-
-    # folder pruning step catches any fork-contributor indexes that
-    # actually made it onto the droplet.
-    if: github.event.pull_request.head.repo.full_name == github.repository
-    runs-on: ubuntu-latest
-    timeout-minutes: 5
-    steps:
-      # Skip the SSH round-trip entirely when no index artifact was ever
-      # built for this PR (docs-only PRs, paths-ignored PRs, PRs closed
-      # before indexing finished, etc). Eliminates ~95% of no-op SSH
-      # sessions on a busy repo.
-      - name: Check for index artifact
-        id: check
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const { data } = await github.rest.actions.listArtifactsForRepo({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              name: `gitnexus-index-pr-${context.payload.pull_request.number}`,
-              per_page: 1,
-            });
-            const hasArtifact = data.total_count > 0;
-            core.info(`Artifact exists: ${hasArtifact}`);
-            core.setOutput('has_artifact', hasArtifact ? 'true' : 'false');
-
-      - name: Setup SSH
-        if: steps.check.outputs.has_artifact == 'true'
-        env:
-          SSH_KEY: ${{ secrets.GITNEXUS_DO_SSH_KEY }}
-          KNOWN_HOST: ${{ secrets.GITNEXUS_DO_KNOWN_HOST }}
-        run: |
-          set -e
-          mkdir -p ~/.ssh
-          chmod 700 ~/.ssh
-          printf '%s\n' "$SSH_KEY" > ~/.ssh/deploy_key
-          chmod 600 ~/.ssh/deploy_key
-          if [ -z "$KNOWN_HOST" ]; then
-            echo "::error::GITNEXUS_DO_KNOWN_HOST secret is empty"
-            exit 1
-          fi
-          printf '%s\n' "$KNOWN_HOST" > ~/.ssh/known_hosts
-          chmod 600 ~/.ssh/known_hosts
-
-      - name: Remove PR index from droplet
-        if: steps.check.outputs.has_artifact == 'true'
-        env:
-          SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
-          SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
-          PR_NUM: ${{ github.event.pull_request.number }}
-        run: |
-          ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" PR_NUM="$PR_NUM" bash <<'REMOTE'
-            set -e
-            TARGET="/opt/gitnexus/indexes/LibreChat-pr-$PR_NUM"
-            if [ -d "$TARGET" ]; then
-              echo "Removing $TARGET"
-              rm -rf "$TARGET"
-              cd /opt/gitnexus
-              docker compose up -d --force-recreate gitnexus
-              echo "GitNexus restarted without PR #$PR_NUM"
-            else
-              echo "No index to clean up for PR #$PR_NUM (artifact existed but droplet folder did not)"
-            fi
-          REMOTE
-
-      - name: Cleanup SSH key
-        if: always()
-        run: rm -f ~/.ssh/deploy_key

.github/workflows/gitnexus-deploy.yml

@@ -1,600 +0,0 @@
-# Deploys GitNexus indexes to a droplet via SSH + rsync.
-#
-# Architecture:
-#   GitHub Actions (deploy)
-#     1. Resolves latest successful index runs for main, dev, and every
-#        open PR that already has an index artifact (contributor-gated
-#        upstream by the index workflow's author_association check)
-#     2. Downloads each matching .gitnexus/ artifact
-#     3. Rsyncs them into /opt/gitnexus/indexes/<name>/ on the droplet
-#     4. Removes any stale folders on the droplet for PRs that closed
-#        (even though gitnexus-cleanup-pr.yml also handles that path,
-#        this is a safety net in case the close event was missed)
-#     5. Pulls latest image, force-recreates gitnexus, reloads Caddy,
-#        and polls docker health until the container reports healthy
-#   The caddy container is untouched — no TLS churn.
-#
-# First-time droplet bootstrap (run once, manually):
-#   1. Create 2GB+ Ubuntu 24.04 droplet, add SSH key
-#   2. Point DNS A record for your subdomain at the droplet IP
-#   3. SSH in and run:
-#        curl -fsSL https://get.docker.com | sh
-#        systemctl enable --now docker
-#        mkdir -p /opt/gitnexus/indexes
-#        useradd -m -s /bin/bash deploy
-#        usermod -aG docker deploy
-#        mkdir -p /home/deploy/.ssh
-#        # Add deploy pubkey to /home/deploy/.ssh/authorized_keys
-#        chown -R deploy:deploy /home/deploy/.ssh /opt/gitnexus
-#        chmod 700 /home/deploy/.ssh
-#        ufw allow 22,80,443/tcp
-#        ufw --force enable
-#   4. Copy .do/gitnexus/docker-compose.yml and Caddyfile into /opt/gitnexus/
-#   5. Create /opt/gitnexus/.env with: GITNEXUS_DOMAIN=... and API_TOKEN=...
-#   6. cd /opt/gitnexus && docker compose up -d
-#
-#   Then capture the droplet's SSH host key from your workstation and
-#   save it as the GITNEXUS_DO_KNOWN_HOST secret (below) so CI can pin it:
-#     ssh-keyscan -H gitnexus.yourdomain.com
-#
-#   GHCR image: the workflow runs `docker login ghcr.io` on the droplet
-#   on every deploy using GITHUB_TOKEN, so the package can stay private.
-#   If you'd rather not have CI manage droplet auth, make the package
-#   public under repo Settings -> Packages.
-#
-# Required GitHub secrets:
-#   GITNEXUS_DO_HOST        — droplet IP or hostname
-#   GITNEXUS_DO_USER        — SSH user (e.g. "deploy")
-#   GITNEXUS_DO_SSH_KEY     — private key matching the authorized pubkey
-#   GITNEXUS_DO_KNOWN_HOST  — output of `ssh-keyscan -H <host>` pinning the
-#                             droplet's host keys (prevents MITM/TOFU risk)
-
-name: GitNexus Deploy
-
-on:
-  workflow_run:
-    workflows: ['GitNexus Index']
-    types: [completed]
-  workflow_dispatch:
-    inputs:
-      pr_number:
-        description: 'Optional PR number to post completion comment on (set by bot-triggered dispatches from gitnexus-index.yml)'
-        type: string
-        default: ''
-
-permissions:
-  actions: read
-  contents: read
-  pull-requests: write # post completion comments on served PR indexes
-
-# Global serialization. Earlier versions used per-ref concurrency with
-# cancel-in-progress so rapid pushes to the same ref coalesced but deploys
-# targeting different refs ran in parallel. That had a data race: the
-# prune-stale-indexes step computes its active_names up front, so if
-# deploy A is rsyncing /opt/gitnexus/indexes/LibreChat-pr-12580 while
-# deploy B (started slightly later with a different ref) prunes, B can
-# rm -rf a folder A is still uploading into.
-#
-# All deploys now queue behind a single group. cancel-in-progress is
-# false so a running rsync/docker-compose restart never gets killed
-# mid-operation (which would leave the droplet in a partial state).
-# The 20-minute job timeout bounds total queue depth.
-concurrency:
-  group: gitnexus-deploy
-  cancel-in-progress: false
-
-env:
-  GITNEXUS_VERSION: '1.5.3'
-  IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/librechat-gitnexus
-
-jobs:
-  # Rebuilds the long-lived image only when Dockerfile/entrypoint/extensions
-  # change. Skipped on every other run, so index-only deploys are fast.
-  build-image:
-    if: |
-      github.event_name == 'workflow_dispatch' ||
-      github.event.workflow_run.conclusion == 'success'
-    runs-on: ubuntu-latest
-    timeout-minutes: 20
-    permissions:
-      contents: read
-      packages: write # push image to GHCR
-    outputs:
-      image_tag: ${{ steps.tag.outputs.value }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 2
-
-      - name: Detect image changes
-        id: changes
-        run: |
-          # Default to rebuild when we can't cleanly diff (first commit,
-          # workflow_run from a PR branch where HEAD isn't the trigger, etc).
-          # Rebuild on miss > skip when we should have rebuilt.
-          if git rev-parse --verify HEAD~1 >/dev/null 2>&1 && \
-             git diff --quiet HEAD~1 HEAD -- .do/gitnexus/Dockerfile .do/gitnexus/entrypoint.sh .do/gitnexus/install-extensions.js; then
-            echo "changed=false" >> "$GITHUB_OUTPUT"
-          else
-            echo "changed=true" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Compute image tag
-        id: tag
-        run: echo "value=v${{ env.GITNEXUS_VERSION }}" >> "$GITHUB_OUTPUT"
-
-      - name: Set up Docker Buildx
-        if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to GHCR
-        if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Build and push image
-        if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
-        uses: docker/build-push-action@v5
-        with:
-          context: .do/gitnexus
-          file: .do/gitnexus/Dockerfile
-          push: true
-          tags: |
-            ${{ env.IMAGE_NAME }}:latest
-            ${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.value }}
-          build-args: |
-            GITNEXUS_VERSION=${{ env.GITNEXUS_VERSION }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-  deploy:
-    needs: build-image
-    runs-on: ubuntu-latest
-    timeout-minutes: 20
-    permissions:
-      actions: read
-      contents: read
-      pull-requests: write # post deploy-complete comments on served PR indexes
-    steps:
-      - name: Checkout deploy config
-        uses: actions/checkout@v4
-        with:
-          sparse-checkout: .do/gitnexus
-          fetch-depth: 1
-
-      # Resolve every index to serve. All resolutions go through
-      # listArtifactsForRepo keyed by the expected artifact name, so a
-      # run's branch or event type doesn't matter — we always pick the
-      # freshest artifact that actually exists.
-      #
-      # Why this matters: a /gitnexus index command dispatches
-      # gitnexus-index.yml with ref=main and an input pr_number, which
-      # produces a run whose head_branch is "main" but whose artifact
-      # is gitnexus-index-pr-<N>. listWorkflowRuns(branch='main') would
-      # happily return that run, and we'd then try to download a
-      # nonexistent gitnexus-index-main artifact from it. Querying by
-      # artifact name directly avoids the whole mess.
-      - name: Resolve indexes to serve
-        id: resolve
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const serve = []; // [{ name, artifactName, runId }]
-
-            // Helper — pick the newest non-expired artifact matching a name.
-            const latestArtifact = async (artifactName) => {
-              const { data } = await github.rest.actions.listArtifactsForRepo({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                name: artifactName,
-                per_page: 10,
-              });
-              return data.artifacts
-                .filter((a) => !a.expired)
-                .sort((a, b) => new Date(b.created_at) - new Date(a.created_at))[0];
-            };
-
-            // --- main and dev branches ---
-            for (const [branch, name] of [
-              ['main', 'LibreChat'],
-              ['dev', 'LibreChat-dev'],
-            ]) {
-              const artifactName = `gitnexus-index-${branch}`;
-              const fresh = await latestArtifact(artifactName);
-              if (!fresh) {
-                core.warning(`No artifact found for ${branch} (expected ${artifactName})`);
-                continue;
-              }
-              serve.push({
-                name,
-                artifactName,
-                runId: fresh.workflow_run.id,
-              });
-              core.info(`${branch}: run ${fresh.workflow_run.id} -> ${name}`);
-            }
-
-            // --- open PRs with at least one successful index run ---
-            // github.paginate handles the 100-per-page ceiling automatically
-            // so the resolution works on repos with 200+ concurrent open PRs.
-            const openPrs = await github.paginate(github.rest.pulls.list, {
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              state: 'open',
-              per_page: 100,
-            });
-            core.info(`Found ${openPrs.length} open PRs`);
-
-            // Parallelize artifact lookups in fixed-size batches so the
-            // resolve step runs in seconds instead of minutes on big repos,
-            // without burning the GitHub API rate limit all at once.
-            const BATCH_SIZE = 10;
-            const prMatches = [];
-            for (let i = 0; i < openPrs.length; i += BATCH_SIZE) {
-              const batch = openPrs.slice(i, i + BATCH_SIZE);
-              const results = await Promise.all(
-                batch.map(async (pr) => {
-                  const artifactName = `gitnexus-index-pr-${pr.number}`;
-                  const fresh = await latestArtifact(artifactName);
-                  return fresh ? { pr, artifactName, fresh } : null;
-                }),
-              );
-              for (const hit of results) {
-                if (hit) prMatches.push(hit);
-              }
-            }
-
-            // Cap to the N most recent PR indexes by artifact creation time.
-            // On a 10GB droplet each index is ~130MB; 3 PRs + main + dev ≈
-            // 650MB of index data, leaving headroom for the ~700MB Docker image
-            // and OS. Older PR indexes are evicted by the prune step.
-            const MAX_PR_INDEXES = 3;
-            prMatches.sort(
-              (a, b) => new Date(b.fresh.created_at) - new Date(a.fresh.created_at),
-            );
-            const keptPrs = prMatches.slice(0, MAX_PR_INDEXES);
-            const evictedPrs = prMatches.slice(MAX_PR_INDEXES);
-
-            for (const { pr, artifactName, fresh } of keptPrs) {
-              serve.push({
-                name: `LibreChat-pr-${pr.number}`,
-                artifactName,
-                runId: fresh.workflow_run.id,
-              });
-              core.info(`PR #${pr.number}: run ${fresh.workflow_run.id} -> LibreChat-pr-${pr.number}`);
-            }
-            if (evictedPrs.length) {
-              core.info(
-                `Evicted ${evictedPrs.length} older PR indexes (cap=${MAX_PR_INDEXES}): ` +
-                  evictedPrs.map((e) => `#${e.pr.number}`).join(', '),
-              );
-            }
-            core.info(`Serving ${keptPrs.length} PR indexes out of ${prMatches.length} with artifacts (${openPrs.length} open PRs total)`);
-
-            if (!serve.length) {
-              core.setFailed('No indexes to serve');
-              return;
-            }
-
-            core.setOutput('matrix', JSON.stringify(serve));
-            core.setOutput('active_names', serve.map((s) => s.name).join(','));
-
-      - name: Download each index artifact
-        env:
-          MATRIX: ${{ steps.resolve.outputs.matrix }}
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          set -e
-          mkdir -p staging
-          # main/dev artifact download failures are fatal — a missing
-          # main/dev index is a real deploy failure. PR artifact failures
-          # are soft — a PR artifact deleted mid-deploy shouldn't abort
-          # the whole deploy and take main/dev down with it.
-          echo "$MATRIX" | jq -c '.[]' | while read -r entry; do
-            name=$(echo "$entry" | jq -r '.name')
-            artifact=$(echo "$entry" | jq -r '.artifactName')
-            runId=$(echo "$entry" | jq -r '.runId')
-            target="staging/${name}/.gitnexus"
-            echo "Downloading $artifact from run $runId -> $target"
-            mkdir -p "$target"
-            if ! gh run download "$runId" \
-                --repo "${{ github.repository }}" \
-                --name "$artifact" \
-                --dir "$target"; then
-              case "$name" in
-                LibreChat|LibreChat-dev)
-                  echo "::error::Failed to download critical artifact $artifact"
-                  exit 1
-                  ;;
-                *)
-                  # The name stays in active_names so the prune step
-                  # won't remove the droplet's existing copy. The old
-                  # index keeps being served instead of being wiped to
-                  # nothing — stale beats empty — but observability
-                  # requires an explicit notice since this path is
-                  # invisible in the happy-path deploy log.
-                  echo "::warning::Failed to download PR artifact $artifact — skipping fresh sync; previous index (if any) will continue being served from the droplet"
-                  rm -rf "staging/${name}"
-                  ;;
-              esac
-            fi
-          done
-          echo ""
-          echo "Staged for rsync:"
-          du -sh staging/*/.gitnexus/ 2>/dev/null || echo "(none)"
-
-      - name: Setup SSH
-        env:
-          SSH_KEY: ${{ secrets.GITNEXUS_DO_SSH_KEY }}
-          KNOWN_HOST: ${{ secrets.GITNEXUS_DO_KNOWN_HOST }}
-        run: |
-          set -e
-          mkdir -p ~/.ssh
-          chmod 700 ~/.ssh
-          printf '%s\n' "$SSH_KEY" > ~/.ssh/deploy_key
-          chmod 600 ~/.ssh/deploy_key
-          # Pin the droplet's SSH host key from a repository secret instead
-          # of trusting whatever ssh-keyscan returns at deploy time. The
-          # secret is populated from `ssh-keyscan -H <host>` at bootstrap.
-          if [ -z "$KNOWN_HOST" ]; then
-            echo "::error::GITNEXUS_DO_KNOWN_HOST secret is empty. Run ssh-keyscan -H <host> and paste the output as this secret."
-            exit 1
-          fi
-          printf '%s\n' "$KNOWN_HOST" > ~/.ssh/known_hosts
-          chmod 600 ~/.ssh/known_hosts
-
-      - name: Authenticate droplet with GHCR
-        # GHCR packages pushed by GITHUB_TOKEN start private. The droplet
-        # pulls the image on every deploy, so we re-authenticate it here
-        # using the same short-lived token. If the package is public, this
-        # step is redundant but harmless.
-        #
-        # The token MUST travel through SSH stdin (not as a command arg)
-        # so it's never visible in the droplet's process table via
-        # /proc/<pid>/cmdline. `printf '%s'` is preferred over `echo`
-        # so the exact byte sequence sent is explicit — docker login
-        # tolerates a trailing newline but `printf` makes the intent
-        # obvious and portable across shells.
-        env:
-          SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
-          SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          GH_ACTOR: ${{ github.actor }}
-        run: |
-          printf '%s' "$GH_TOKEN" | ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
-            "docker login ghcr.io -u '$GH_ACTOR' --password-stdin"
-
-      - name: Upload config files
-        env:
-          SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
-          SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
-        run: |
-          rsync -az -e "ssh -i ~/.ssh/deploy_key" \
-            .do/gitnexus/docker-compose.yml \
-            .do/gitnexus/Caddyfile \
-            "$SSH_USER@$SSH_HOST:/opt/gitnexus/"
-
-      - name: Prune stale indexes then sync fresh ones
-        env:
-          SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
-          SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
-          ACTIVE_NAMES: ${{ steps.resolve.outputs.active_names }}
-        run: |
-          set -e
-          # ── Step 1: prune FIRST ────────────────────────────────
-          # Remove any folders on the droplet that aren't in the active set.
-          # This frees disk BEFORE rsyncing new data, which matters on a
-          # 10GB disk where each index is ~130MB.
-          echo "Pruning stale indexes (keeping: $ACTIVE_NAMES)"
-          ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
-            ACTIVE_NAMES="$ACTIVE_NAMES" bash <<'REMOTE'
-            set -e
-            cd /opt/gitnexus/indexes || exit 0
-            shopt -s nullglob
-            IFS=',' read -ra ACTIVE <<< "$ACTIVE_NAMES"
-            for dir in */; do
-              dir="${dir%/}"
-              keep=false
-              for a in "${ACTIVE[@]}"; do
-                if [ "$dir" = "$a" ]; then keep=true; break; fi
-              done
-              if [ "$keep" = false ]; then
-                echo "Removing stale index: $dir"
-                rm -rf "$dir"
-              fi
-            done
-            echo "Disk after prune:"
-            df -h / | tail -1
-          REMOTE
-
-          # ── Step 2: rsync-then-swap ─────────────────────────────
-          # Upload each index to a temp directory, then atomically swap
-          # it into place. If rsync fails, the old index survives intact
-          # and the partial temp dir is cleaned up — no production data
-          # is lost. The brief period where both old + new exist costs
-          # ~130MB of extra disk, but the prune step already freed
-          # space from evicted PR indexes so this fits on a 10GB disk.
-          for dir in staging/*/; do
-            [ -d "$dir" ] || continue
-            name=$(basename "$dir")
-            echo "Syncing $name (rsync-then-swap)"
-            ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
-              "mkdir -p /opt/gitnexus/indexes/${name}.new"
-            if rsync -az -e "ssh -i ~/.ssh/deploy_key" \
-              "$dir" \
-              "$SSH_USER@$SSH_HOST:/opt/gitnexus/indexes/${name}.new/"; then
-              # Swap: remove old, rename new into place
-              ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
-                "rm -rf /opt/gitnexus/indexes/$name && mv /opt/gitnexus/indexes/${name}.new /opt/gitnexus/indexes/$name"
-              echo "  $name swapped successfully"
-            else
-              # Clean up the partial temp dir
-              ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
-                "rm -rf /opt/gitnexus/indexes/${name}.new"
-              # main/dev are critical — abort the deploy so the failure
-              # is visible and the container isn't restarted with stale
-              # or missing data. PR indexes are best-effort.
-              case "$name" in
-                LibreChat|LibreChat-dev)
-                  echo "::error::rsync failed for critical index $name — aborting deploy"
-                  exit 1
-                  ;;
-                *)
-                  echo "::warning::rsync failed for PR index $name — keeping previous index"
-                  ;;
-              esac
-            fi
-          done
-
-      - name: Pull image, restart gitnexus, reload Caddy, wait for healthy
-        env:
-          SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
-          SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
-        run: |
-          ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" bash <<'REMOTE'
-            set -e
-            cd /opt/gitnexus
-
-            # ── Disk cleanup ──────────────────────────────────────
-            # Docker accumulates old image layers, dangling images, and
-            # build cache across deploys. On a 60GB droplet with a 700MB+
-            # gitnexus image, this fills the disk after ~40 deploys.
-            # Prune everything not used by currently-running containers
-            # BEFORE pulling the new image so the extract has room.
-            echo "Disk before cleanup:"
-            df -h / | tail -1
-            # Omit --volumes: Caddy's caddy-data and caddy-config volumes
-            # hold TLS certificates and ACME state. If Caddy happens to be
-            # stopped when this runs (the workflow handles that case later),
-            # --volumes would wipe them, forcing Let's Encrypt re-issuance
-            # and risking rate-limit lockout (5 certs/domain/week).
-            docker system prune -af 2>/dev/null || true
-            echo "Disk after cleanup:"
-            df -h / | tail -1
-
-            # Fail fast if disk is critically low even after prune
-            AVAIL_MB=$(df --output=avail -m / | tail -1 | tr -d ' ')
-            if [ "$AVAIL_MB" -lt 2048 ]; then
-              echo "::error::Disk critically low (${AVAIL_MB}MB free). Aborting deploy."
-              exit 1
-            fi
-
-            docker compose pull gitnexus
-            docker compose up -d --force-recreate gitnexus
-
-            # Reload Caddy in-place so a changed Caddyfile takes effect
-            # without losing TLS certs or restarting connections. If caddy
-            # isn't running yet (first-time bootstrap), bring it up.
-            if docker compose ps --status running caddy 2>/dev/null | grep -q caddy; then
-              echo "Reloading Caddy config"
-              docker compose exec -T caddy caddy reload --config /etc/caddy/Caddyfile || {
-                echo "Caddy reload failed — forcing restart"
-                docker compose up -d --force-recreate caddy
-              }
-            else
-              echo "Caddy not running — starting"
-              docker compose up -d caddy
-            fi
-
-            # Poll gitnexus health until ready or timeout. Docker's own
-            # unhealthy detection takes up to 150s (start_period 60s +
-            # retries 3 * interval 30s), so the poll ceiling must clear
-            # that to avoid false negatives when gitnexus legitimately
-            # takes ~2.5 min to warm up.
-            # Max wait = 36 sleeps * 5s = 180s (final iteration exits
-            # before its sleep on failure, so 37 iterations is the
-            # correct upper bound for a true 180s ceiling).
-            echo "Waiting for gitnexus to report healthy..."
-            for i in $(seq 1 37); do
-              STATUS=$(docker inspect --format='{{.State.Health.Status}}' gitnexus 2>/dev/null || echo unknown)
-              echo "[$i/37] gitnexus health: $STATUS"
-              if [ "$STATUS" = "healthy" ]; then
-                echo "gitnexus is healthy"
-                break
-              fi
-              if [ "$i" -eq 37 ]; then
-                echo "ERROR: gitnexus failed to become healthy after 180s"
-                docker compose ps
-                docker compose logs --tail 80 gitnexus
-                exit 1
-              fi
-              sleep 5
-            done
-
-            docker compose ps
-            echo "--- Caddy logs (last 20 lines) ---"
-            docker compose logs --tail 20 caddy || true
-            echo "--- GitNexus logs (last 30 lines) ---"
-            docker compose logs --tail 30 gitnexus || true
-          REMOTE
-
-      # When the deploy was triggered by a PR command path, post a
-      # terminal status comment on that one PR only. Two sub-cases:
-      #
-      #   1. workflow_run trigger: the PR's native auto-index run fired
-      #      workflow_run, so github.event.workflow_run.id is the trigger.
-      #      Find the matching PR via the matrix entry whose runId matches.
-      #
-      #   2. workflow_dispatch trigger with inputs.pr_number set: the
-      #      index workflow's bot-fallback path dispatched us directly
-      #      because workflow_run is suppressed for GITHUB_TOKEN triggers.
-      #      Use inputs.pr_number as the comment target.
-      #
-      # Broadcast-commenting on every active PR would be noise — only the
-      # PR that asked for a fresh index gets a reply.
-      - name: Comment on PR — deploy complete
-        if: always()
-        uses: actions/github-script@v7
-        env:
-          MATRIX: ${{ steps.resolve.outputs.matrix }}
-          TRIGGER_RUN_ID: ${{ github.event.workflow_run.id }}
-          DISPATCH_PR_NUMBER: ${{ github.event.inputs.pr_number }}
-          DEPLOY_STATUS: ${{ job.status }}
-        with:
-          script: |
-            let prNum = null;
-
-            // Case 1: dispatched directly with pr_number (bot-fallback path)
-            if (process.env.DISPATCH_PR_NUMBER && process.env.DISPATCH_PR_NUMBER !== '') {
-              prNum = parseInt(process.env.DISPATCH_PR_NUMBER, 10);
-            }
-            // Case 2: workflow_run trigger from a PR index run
-            else if (context.eventName === 'workflow_run') {
-              const matrix = JSON.parse(process.env.MATRIX || '[]');
-              const triggerRunId = Number(process.env.TRIGGER_RUN_ID);
-              const match = matrix.find(
-                (m) => m.runId === triggerRunId && m.name.startsWith('LibreChat-pr-'),
-              );
-              if (match) {
-                prNum = parseInt(match.name.replace('LibreChat-pr-', ''), 10);
-              }
-            }
-
-            if (!prNum) {
-              core.info('No PR to comment on (trigger was not a PR-scoped index); skipping.');
-              return;
-            }
-
-            const deployUrl = `${context.serverUrl}/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}`;
-            const ok = process.env.DEPLOY_STATUS === 'success';
-            const body = [
-              `### GitNexus: ${ok ? '🚀 deployed' : '❌ deploy failed'}`,
-              '',
-              ok
-                ? `The \`LibreChat-pr-${prNum}\` index is now live on the MCP server.`
-                : `The deploy failed — the previous index (if any) continues to be served.`,
-              `[Deploy run](${deployUrl})`,
-            ].join('\n');
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: prNum,
-              body,
-            });
-
-      - name: Cleanup SSH key
-        if: always()
-        run: rm -f ~/.ssh/deploy_key

.github/workflows/gitnexus-index.yml

@@ -1,217 +0,0 @@
-name: GitNexus Index
-
-on:
-  push:
-    branches: [main, dev]
-    paths-ignore: ['**.md', 'docs/**', 'LICENSE', '.github/**']
-  pull_request:
-    branches: [main, dev]
-    paths-ignore: ['**.md', 'docs/**', 'LICENSE', '.github/**']
-  workflow_dispatch:
-    inputs:
-      embeddings:
-        description: 'Enable embedding generation (slow, increases index size)'
-        type: boolean
-        default: false
-      force:
-        description: 'Force full re-index'
-        type: boolean
-        default: false
-      # When invoked from the /gitnexus index PR command, the command
-      # workflow fills these so the index is built from the PR's head
-      # ref and uploaded under the PR-numbered artifact name.
-      pr_number:
-        description: 'PR number to index (set by /gitnexus command)'
-        type: string
-        default: ''
-      pr_ref:
-        description: 'PR head SHA or ref to check out (set by /gitnexus command)'
-        type: string
-        default: ''
-
-permissions:
-  contents: read
-  actions: write # dispatch gitnexus-deploy.yml on bot-triggered runs
-  pull-requests: write # post completion comments for /gitnexus command runs
-
-concurrency:
-  # When triggered by the /gitnexus command, group by PR number so rapid
-  # re-runs coalesce. Otherwise group by git ref as before.
-  group: gitnexus-${{ inputs.pr_number != '' && format('pr-{0}', inputs.pr_number) || github.ref }}
-  cancel-in-progress: true
-
-env:
-  GITNEXUS_VERSION: '1.5.3'
-
-jobs:
-  index:
-    # Push + dispatch run unconditionally. Native pull_request events
-    # are restricted to PRs authored by danny-avila only — this keeps
-    # automatic CI spend low on a repo with 200+ open PRs.
-    #
-    # Other contributors' PRs can still be indexed on demand:
-    #   - /gitnexus index    (PR comment command, contributor-gated)
-    #   - workflow_dispatch   (manual dispatch from Actions UI)
-    # Both bypass this filter because they arrive as workflow_dispatch,
-    # not pull_request.
-    if: |
-      github.event_name != 'pull_request' ||
-      github.event.pull_request.user.login == 'danny-avila'
-    runs-on: ubuntu-latest
-    timeout-minutes: 25
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          # When the /gitnexus command dispatches us with a pr_ref, it's
-          # a refs/pull/<N>/head ref that GitHub mirrors into the base
-          # repo for every PR, so checkout works for fork PRs too. When
-          # pr_ref is empty (native push/pull_request), fall back to the
-          # default ref actions/checkout would use.
-          ref: ${{ inputs.pr_ref || '' }}
-          fetch-depth: 1
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: 24
-
-      - name: Cache npm store
-        uses: actions/cache@v4
-        with:
-          path: ~/.npm
-          key: gitnexus-npm-${{ runner.os }}-${{ env.GITNEXUS_VERSION }}
-          restore-keys: gitnexus-npm-${{ runner.os }}-
-
-      - name: Run GitNexus Analyze
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          FLAGS="--skip-agents-md --verbose"
-
-          # Decide whether to generate embeddings. Rules:
-          #   push (main/dev)      -> always embed
-          #   pull_request         -> embed ONLY when the PR changes files
-          #                           under paths that also trigger backend
-          #                           or frontend unit tests (api/, client/,
-          #                           packages/). Docs/config-only PRs skip
-          #                           embeddings to save ~3-5 min of CI.
-          #   workflow_dispatch    -> respect the explicit `embeddings` input
-          #                           (default false). This also covers the
-          #                           /gitnexus index [embeddings] command.
-          ENABLE_EMBEDDINGS=false
-          case "${{ github.event_name }}" in
-            workflow_dispatch)
-              [ "${{ inputs.embeddings }}" = "true" ] && ENABLE_EMBEDDINGS=true
-              ;;
-            push)
-              ENABLE_EMBEDDINGS=true
-              ;;
-            pull_request)
-              PR_NUM="${{ github.event.pull_request.number }}"
-              CHANGED=$(gh api "repos/${{ github.repository }}/pulls/$PR_NUM/files" \
-                --paginate --jq '.[].filename' 2>/dev/null || echo "")
-              if printf '%s\n' "$CHANGED" | grep -qE '^(api/|client/|packages/)'; then
-                echo "PR #$PR_NUM touches unit-test paths (api|client|packages) — enabling embeddings"
-                ENABLE_EMBEDDINGS=true
-              else
-                echo "PR #$PR_NUM does not touch unit-test paths — graph-only index"
-              fi
-              ;;
-          esac
-
-          if [ "$ENABLE_EMBEDDINGS" = "true" ]; then
-            FLAGS="$FLAGS --embeddings"
-          fi
-          if [ "${{ inputs.force }}" = "true" ]; then
-            FLAGS="$FLAGS --force"
-          fi
-          npx --yes gitnexus@${{ env.GITNEXUS_VERSION }} analyze . $FLAGS
-
-      - name: Verify index
-        run: |
-          if [ ! -d ".gitnexus" ] || [ ! -f ".gitnexus/meta.json" ]; then
-            echo "::error::GitNexus index was not created"
-            exit 1
-          fi
-          echo "::group::Index metadata"
-          cat .gitnexus/meta.json
-          echo ""
-          echo "::endgroup::"
-
-      - name: Upload GitNexus index
-        uses: actions/upload-artifact@v4
-        with:
-          # Artifact naming order of precedence:
-          #   1. /gitnexus command dispatch: inputs.pr_number -> pr-<N>
-          #   2. Native pull_request event: github.event.pull_request.number
-          #   3. Push or manual dispatch without pr_number: github.ref_name
-          name: >-
-            gitnexus-index-${{
-              inputs.pr_number != ''
-              && format('pr-{0}', inputs.pr_number)
-              || (github.event_name == 'pull_request'
-                  && format('pr-{0}', github.event.pull_request.number)
-                  || github.ref_name)
-            }}
-          path: .gitnexus/
-          include-hidden-files: true
-          retention-days: 30
-
-      # GitHub suppresses workflow_run events for workflow runs whose
-      # triggering actor is GITHUB_TOKEN (to prevent recursive chaining).
-      # That means when this workflow is dispatched by gitnexus-pr-command
-      # via `gh api workflow_dispatch`, the deploy workflow's workflow_run
-      # trigger never fires. Manually dispatch the deploy here in that
-      # specific case — user-triggered runs continue to rely on the
-      # existing workflow_run trigger, so we don't double-deploy.
-      - name: Trigger deploy workflow for bot-triggered runs
-        if: github.triggering_actor == 'github-actions[bot]'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            core.info('Triggering actor is github-actions[bot]; workflow_run would not fire. Dispatching gitnexus-deploy.yml manually.');
-            // Pass pr_number through so the deploy workflow knows which
-            // PR to post its completion comment on (for /gitnexus
-            // command runs this will be set; for other bot dispatches
-            // it's empty and the deploy step falls back to matrix match).
-            await github.rest.actions.createWorkflowDispatch({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              workflow_id: 'gitnexus-deploy.yml',
-              ref: 'main',
-              inputs: {
-                pr_number: '${{ inputs.pr_number }}',
-              },
-            });
-
-      # Reply on the PR when the /gitnexus command path runs so the
-      # requester knows the index step finished. This only fires when
-      # inputs.pr_number is set (command-triggered) AND the rest of the
-      # job succeeded. A separate comment posts from the deploy workflow
-      # when the live server has the fresh index.
-      - name: Comment on PR — index complete
-        if: always() && inputs.pr_number != ''
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const outcome = '${{ job.status }}' === 'success' ? '✅ indexed' : '❌ index failed';
-            const prNum = parseInt('${{ inputs.pr_number }}', 10);
-            const runUrl = `${context.serverUrl}/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}`;
-            const embeddingsFlag = '${{ inputs.embeddings }}' === 'true' ? 'with embeddings' : 'graph-only';
-            const body = [
-              `### GitNexus: ${outcome}`,
-              ``,
-              `PR #${prNum} was indexed ${embeddingsFlag}.`,
-              `[Index run](${runUrl})`,
-              '',
-              '${{ job.status }}' === 'success'
-                ? '⏳ Waiting for deploy to serve the fresh index…'
-                : '_Index run failed — the previous index (if any) continues to be served._',
-            ].join('\n');
-            await github.rest.issues.createComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              issue_number: prNum,
-              body,
-            });

.github/workflows/gitnexus-pr-command.yml

@@ -1,121 +0,0 @@
-# Responds to `/gitnexus index` comments on pull requests.
-#
-# Gated to the same author_association roles (OWNER, MEMBER, COLLABORATOR)
-# as the automatic PR index trigger, but applied to the COMMENTER, not
-# the PR author. This intentionally lets a contributor index a PR from
-# a non-contributor / first-time fork author — the contributor takes
-# responsibility for the trust boundary by typing the command.
-#
-# When a matching comment lands on a PR, this workflow dispatches
-# `gitnexus-index.yml` with the PR number and the `refs/pull/<N>/head`
-# ref so indexing works for fork PRs too (GitHub mirrors every PR's
-# head ref into the base repo regardless of which fork it originated
-# from, so actions/checkout can always resolve it).
-#
-# Use cases:
-#   - Re-index a PR after a rebase without pushing a new commit
-#   - Index a docs-only PR that was skipped by paths-ignore
-#   - Index a non-contributor (fork) PR that the auto-trigger skipped
-#   - Re-run a failed index
-#
-# Supported commands:
-#   /gitnexus index             — index the PR with embeddings (default)
-#   /gitnexus index embeddings  — explicit form of the above; same effect
-#   /gitnexus index fast        — graph-only index (skip embeddings), for
-#                                 a quick re-index without waiting ~5 min
-#                                 of embedding generation
-
-name: GitNexus PR Command
-
-on:
-  issue_comment:
-    types: [created]
-
-permissions:
-  contents: read
-  pull-requests: write
-  actions: write # needed to dispatch gitnexus-index.yml
-
-concurrency:
-  group: gitnexus-pr-command-${{ github.event.issue.number }}
-  cancel-in-progress: false
-
-jobs:
-  dispatch:
-    # Only run for PR comments that start with /gitnexus from trusted
-    # commenters. Intentionally checks the COMMENTER's association so a
-    # contributor can index a non-contributor's PR on demand.
-    if: |
-      github.event.issue.pull_request != null &&
-      startsWith(github.event.comment.body, '/gitnexus') &&
-      (github.event.comment.author_association == 'OWNER' ||
-       github.event.comment.author_association == 'MEMBER' ||
-       github.event.comment.author_association == 'COLLABORATOR')
-    runs-on: ubuntu-latest
-    timeout-minutes: 5
-    steps:
-      - name: Parse command and resolve PR head ref
-        id: parse
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const body = context.payload.comment.body.trim();
-            const match = body.match(/^\/gitnexus\s+(\w+)(?:\s+(\w+))?/);
-            if (!match) {
-              core.setFailed(`Unrecognized command: ${body}. Try: /gitnexus index [fast]`);
-              return;
-            }
-            const [, subcommand, modifier] = match;
-            if (subcommand !== 'index') {
-              core.setFailed(`Unknown subcommand: ${subcommand}. Only 'index' is supported.`);
-              return;
-            }
-            // Default to embeddings on — a contributor typing the command
-            // has already decided they want a full re-index. The `fast`
-            // modifier is the explicit opt-out for graph-only runs.
-            // `embeddings` is accepted as a no-op alias for backwards
-            // compat with the previous command form.
-            let embeddings = 'true';
-            if (modifier === 'fast' || modifier === 'graph-only' || modifier === 'no-embeddings') {
-              embeddings = 'false';
-            }
-
-            // Use refs/pull/<N>/head instead of the raw head SHA. GitHub
-            // mirrors every PR's head into the base repo as this ref, so
-            // actions/checkout can always resolve it — even for PRs from
-            // forks whose raw SHAs don't exist in the base repo.
-            const prNum = context.payload.issue.number;
-            core.setOutput('pr_number', String(prNum));
-            core.setOutput('pr_ref', `refs/pull/${prNum}/head`);
-            core.setOutput('embeddings', embeddings);
-            core.info(
-              `Dispatching index for PR #${prNum} at refs/pull/${prNum}/head (embeddings=${embeddings}, modifier=${modifier || '(none)'})`,
-            );
-
-      - name: Dispatch gitnexus-index workflow
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.actions.createWorkflowDispatch({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              workflow_id: 'gitnexus-index.yml',
-              ref: 'main',
-              inputs: {
-                pr_number: '${{ steps.parse.outputs.pr_number }}',
-                pr_ref: '${{ steps.parse.outputs.pr_ref }}',
-                embeddings: '${{ steps.parse.outputs.embeddings }}',
-                force: 'false',
-              },
-            });
-
-      - name: React to the comment
-        uses: actions/github-script@v7
-        with:
-          script: |
-            await github.rest.reactions.createForIssueComment({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              comment_id: context.payload.comment.id,
-              content: 'rocket',
-            });

.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

@@ -1,281 +0,0 @@
-name: Detect Unused NPM Packages
-
-on:
-  pull_request:
-    paths:
-      - 'package.json'
-      - 'package-lock.json'
-      - 'client/**'
-      - 'api/**'
-      - 'packages/client/**'
-      - 'packages/api/**'
-
-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=$2
-            
-            # Initialize empty output file
-            > "$output_file"
-            
-            if [[ -d "$folder" ]]; then
-              # Extract require() statements (use explicit includes for portability)
-              grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" \
-                --include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
-                sed -E "s/require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)/\1/" >> "$output_file" || true
-          
-              # Extract ES6 imports - import x from 'module'
-              grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
-                --include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
-                sed -E "s/import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
-              
-              # import 'module' (side-effect imports)
-              grep -rEho "import ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
-                --include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
-                sed -E "s/import ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
-              
-              # export { x } from 'module' or export * from 'module'
-              grep -rEho "export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
-                --include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
-                sed -E "s/export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
-              
-              # import type { x } from 'module' (TypeScript)
-              grep -rEho "import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
-                --include='*.ts' --include='*.tsx' 2>/dev/null | \
-                sed -E "s/import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
-          
-              # Remove subpath imports but keep the base package
-              # For scoped packages: '@scope/pkg/subpath' -> '@scope/pkg'
-              # For regular packages: 'pkg/subpath' -> 'pkg'
-              # Scoped packages (must keep @scope/package, strip anything after)
-              sed -i -E 's|^(@[a-zA-Z0-9_-]+/[a-zA-Z0-9_-]+)/.*|\1|' "$output_file" 2>/dev/null || true
-              # Non-scoped packages (keep package name, strip subpath)
-              sed -i -E 's|^([a-zA-Z0-9_-]+)/.*|\1|' "$output_file" 2>/dev/null || true
-              
-              sort -u "$output_file" -o "$output_file"
-            fi
-          }
-
-          extract_deps_from_code "." root_used_code.txt
-          extract_deps_from_code "client" client_used_code.txt
-          extract_deps_from_code "api" api_used_code.txt
-          
-          # Extract dependencies used by workspace packages
-          # These packages are used in the workspace but dependencies are provided by parent package.json
-          extract_deps_from_code "packages/client" packages_client_used_code.txt
-          extract_deps_from_code "packages/api" packages_api_used_code.txt
-
-      - name: Get @librechat/client dependencies
-        id: get-librechat-client-deps
-        run: |
-          if [[ -f "packages/client/package.json" ]]; then
-            # Get all dependencies from @librechat/client (dependencies, devDependencies, and peerDependencies)
-            DEPS=$(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: Get @librechat/api dependencies
-        id: get-librechat-api-deps
-        run: |
-          if [[ -f "packages/api/package.json" ]]; then
-            # Get all dependencies from @librechat/api (dependencies, devDependencies, and peerDependencies)
-            DEPS=$(jq -r '.dependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
-            DEV_DEPS=$(jq -r '.devDependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
-            PEER_DEPS=$(jq -r '.peerDependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
-            
-            # Combine all dependencies
-            echo "$DEPS" > librechat_api_deps.txt
-            echo "$DEV_DEPS" >> librechat_api_deps.txt
-            echo "$PEER_DEPS" >> librechat_api_deps.txt
-            
-            # Also include dependencies that are imported in packages/api
-            cat packages_api_used_code.txt >> librechat_api_deps.txt
-            
-            # Remove empty lines and sort
-            grep -v '^$' librechat_api_deps.txt | sort -u > temp_deps.txt
-            mv temp_deps.txt librechat_api_deps.txt
-          else
-            touch librechat_api_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, workspace packages, and @librechat/client imports
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt ../client_workspace_deps.txt ../packages_client_used_code.txt ../librechat_client_deps.txt 2>/dev/null | sort -u) || 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, workspace packages, and @librechat/api imports
-            UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt ../api_workspace_deps.txt ../packages_api_used_code.txt ../librechat_api_deps.txt 2>/dev/null | sort -u) || 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
 
@@ -11,11 +10,6 @@ logs
 pids
 *.pid
 *.seed
-.git
-
-# CI/CD data
-test-image*
-dump.rdb
 
 # Directory for instrumented libs generated by jscoverage/JSCover
 lib-cov
@@ -26,28 +20,16 @@ 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
-
-# Turborepo
-.turbo
-
 # Compiled Dirs (http://nodejs.org/api/addons.html)
 build/
 dist/
 public/main.js
 public/main.js.map
 public/main.js.LICENSE.txt
-client/public/images/
 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
@@ -56,14 +38,6 @@ meili_data/
 api/node_modules/
 client/node_modules/
 bower_components/
-*.d.ts
-!vite-env.d.ts
-
-# AI
-.clineignore
-.cursor
-.aider*
-.bg-shell/
 
 # Floobits
 .floo
@@ -71,110 +45,12 @@ bower_components/
 .floo
 .flooignore
 
-#config file
-librechat.yaml
-librechat.yml
-
 # Environment
-.npmrc
-.env*
-my.secrets
-!**/.env.example
-!**/.env.test.example
+.env
 cache.json
 api/data/
 owner.yml
 archive
 .vscode/settings.json
-src/style - official.css
-/e2e/specs/.test-results/
-/e2e/playwright-report/
-/playwright/.cache/
-.DS_Store
-*.code-workspace
-.idx
-monospace.json
-.idea
-*.iml
-*.pem
-config.local.ts
-**/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
-!/client/src/@types/react.d.ts
-
-# SAML Idp cert
-*.cert
-
-# AI Assistants
-/.claude/
-/.codex/
-/.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
-.playwright-mcp/*
-# Removed Windows wrapper files per user request
-hive-mind-prompt-*.txt
-CLAUDE.md
-.gsd
+src/style - official.css

.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

@@ -1,3 +0,0 @@
-#!/bin/sh
-[ -n "$CI" ] && exit 0
-npx lint-staged --config ./.husky/lint-staged.config.js

.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"]
-}

.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"
-    }
-  ]
-}

AGENTS.md

@@ -1 +0,0 @@
-CLAUDE.md

CLAUDE.md

@@ -1,172 +0,0 @@
-# LibreChat
-
-## Project Overview
-
-LibreChat is a monorepo with the following key workspaces:
-
-| Workspace | Language | Side | Dependency | Purpose |
-|---|---|---|---|---|
-| `/api` | JS (legacy) | Backend | `packages/api`, `packages/data-schemas`, `packages/data-provider`, `@librechat/agents` | Express server — minimize changes here |
-| `/packages/api` | **TypeScript** | Backend | `packages/data-schemas`, `packages/data-provider` | New backend code lives here (TS only, consumed by `/api`) |
-| `/packages/data-schemas` | TypeScript | Backend | `packages/data-provider` | Database models/schemas, shareable across backend projects |
-| `/packages/data-provider` | TypeScript | Shared | — | Shared API types, endpoints, data-service — used by both frontend and backend |
-| `/client` | TypeScript/React | Frontend | `packages/data-provider`, `packages/client` | Frontend SPA |
-| `/packages/client` | TypeScript | Frontend | `packages/data-provider` | Shared frontend utilities |
-
-The source code for `@librechat/agents` (major backend dependency, same team) is at `/home/danny/agentus`.
-
----
-
-## Workspace Boundaries
-
-- **All new backend code must be TypeScript** in `/packages/api`.
-- Keep `/api` changes to the absolute minimum (thin JS wrappers calling into `/packages/api`).
-- Database-specific shared logic goes in `/packages/data-schemas`.
-- Frontend/backend shared API logic (endpoints, types, data-service) goes in `/packages/data-provider`.
-- Build data-provider from project root: `npm run build:data-provider`.
-
----
-
-## Code Style
-
-### Naming and File Organization
-
-- **Single-word file names** whenever possible (e.g., `permissions.ts`, `capabilities.ts`, `service.ts`).
-- When multiple words are needed, prefer grouping related modules under a **single-word directory** rather than using multi-word file names (e.g., `admin/capabilities.ts` not `adminCapabilities.ts`).
-- The directory already provides context — `app/service.ts` not `app/appConfigService.ts`.
-
-### Structure and Clarity
-
-- **Never-nesting**: early returns, flat code, minimal indentation. Break complex operations into well-named helpers.
-- **Functional first**: pure functions, immutable data, `map`/`filter`/`reduce` over imperative loops. Only reach for OOP when it clearly improves domain modeling or state encapsulation.
-- **No dynamic imports** unless absolutely necessary.
-
-### DRY
-
-- Extract repeated logic into utility functions.
-- Reusable hooks / higher-order components for UI patterns.
-- Parameterized helpers instead of near-duplicate functions.
-- Constants for repeated values; configuration objects over duplicated init code.
-- Shared validators, centralized error handling, single source of truth for business rules.
-- Shared typing system with interfaces/types extending common base definitions.
-- Abstraction layers for external API interactions.
-
-### Iteration and Performance
-
-- **Minimize looping** — especially over shared data structures like message arrays, which are iterated frequently throughout the codebase. Every additional pass adds up at scale.
-- Consolidate sequential O(n) operations into a single pass whenever possible; never loop over the same collection twice if the work can be combined.
-- Choose data structures that reduce the need to iterate (e.g., `Map`/`Set` for lookups instead of `Array.find`/`Array.includes`).
-- Avoid unnecessary object creation; consider space-time tradeoffs.
-- Prevent memory leaks: careful with closures, dispose resources/event listeners, no circular references.
-
-### Type Safety
-
-- **Never use `any`**. Explicit types for all parameters, return values, and variables.
-- **Limit `unknown`** — avoid `unknown`, `Record<string, unknown>`, and `as unknown as T` assertions. A `Record<string, unknown>` almost always signals a missing explicit type definition.
-- **Don't duplicate types** — before defining a new type, check whether it already exists in the project (especially `packages/data-provider`). Reuse and extend existing types rather than creating redundant definitions.
-- Use union types, generics, and interfaces appropriately.
-- All TypeScript and ESLint warnings/errors must be addressed — do not leave unresolved diagnostics.
-
-### Comments and Documentation
-
-- Write self-documenting code; no inline comments narrating what code does.
-- JSDoc only for complex/non-obvious logic or intellisense on public APIs.
-- Single-line JSDoc for brief docs, multi-line for complex cases.
-- Avoid standalone `//` comments unless absolutely necessary.
-
-### Import Order
-
-Imports are organized into three sections:
-
-1. **Package imports** — sorted shortest to longest line length (`react` always first).
-2. **`import type` imports** — sorted longest to shortest (package types first, then local types; length resets between sub-groups).
-3. **Local/project imports** — sorted longest to shortest.
-
-Multi-line imports count total character length across all lines. Consolidate value imports from the same module. Always use standalone `import type { ... }` — never inline `type` inside value imports.
-
-### JS/TS Loop Preferences
-
-- **Limit looping as much as possible.** Prefer single-pass transformations and avoid re-iterating the same data.
-- `for (let i = 0; ...)` for performance-critical or index-dependent operations.
-- `for...of` for simple array iteration.
-- `for...in` only for object property enumeration.
-
----
-
-## Frontend Rules (`client/src/**/*`)
-
-### Localization
-
-- All user-facing text must use `useLocalize()`.
-- Only update English keys in `client/src/locales/en/translation.json` (other languages are automated externally).
-- Semantic key prefixes: `com_ui_`, `com_assistants_`, etc.
-
-### Components
-
-- TypeScript for all React components with proper type imports.
-- Semantic HTML with ARIA labels (`role`, `aria-label`) for accessibility.
-- Group related components in feature directories (e.g., `SidePanel/Memories/`).
-- Use index files for clean exports.
-
-### Data Management
-
-- Feature hooks: `client/src/data-provider/[Feature]/queries.ts` → `[Feature]/index.ts` → `client/src/data-provider/index.ts`.
-- React Query (`@tanstack/react-query`) for all API interactions; proper query invalidation on mutations.
-- QueryKeys and MutationKeys in `packages/data-provider/src/keys.ts`.
-
-### Data-Provider Integration
-
-- Endpoints: `packages/data-provider/src/api-endpoints.ts`
-- Data service: `packages/data-provider/src/data-service.ts`
-- Types: `packages/data-provider/src/types/queries.ts`
-- Use `encodeURIComponent` for dynamic URL parameters.
-
-### Performance
-
-- Prioritize memory and speed efficiency at scale.
-- Cursor pagination for large datasets.
-- Proper dependency arrays to avoid unnecessary re-renders.
-- Leverage React Query caching and background refetching.
-
----
-
-## Development Commands
-
-| Command | Purpose |
-|---|---|
-| `npm run smart-reinstall` | Install deps (if lockfile changed) + build via Turborepo |
-| `npm run reinstall` | Clean install — wipe `node_modules` and reinstall from scratch |
-| `npm run backend` | Start the backend server |
-| `npm run backend:dev` | Start backend with file watching (development) |
-| `npm run build` | Build all compiled code via Turborepo (parallel, cached) |
-| `npm run frontend` | Build all compiled code sequentially (legacy fallback) |
-| `npm run frontend:dev` | Start frontend dev server with HMR (port 3090, requires backend running) |
-| `npm run build:data-provider` | Rebuild `packages/data-provider` after changes |
-
-- Node.js: v20.19.0+ or ^22.12.0 or >= 23.0.0
-- Database: MongoDB
-- Backend runs on `http://localhost:3080/`; frontend dev server on `http://localhost:3090/`
-
----
-
-## Testing
-
-- Framework: **Jest**, run per-workspace.
-- Run tests from their workspace directory: `cd api && npx jest <pattern>`, `cd packages/api && npx jest <pattern>`, etc.
-- Frontend tests: `__tests__` directories alongside components; use `test/layout-test-utils` for rendering.
-- Cover loading, success, and error states for UI/data flows.
-
-### Philosophy
-
-- **Real logic over mocks.** Exercise actual code paths with real dependencies. Mocking is a last resort.
-- **Spies over mocks.** Assert that real functions are called with expected arguments and frequency without replacing underlying logic.
-- **MongoDB**: use `mongodb-memory-server` for a real in-memory MongoDB instance. Test actual queries and schema validation, not mocked DB calls.
-- **MCP**: use real `@modelcontextprotocol/sdk` exports for servers, transports, and tool definitions. Mirror real scenarios, don't stub SDK internals.
-- Only mock what you cannot control: external HTTP APIs, rate-limited services, non-deterministic system calls.
-- Heavy mocking is a code smell, not a testing strategy.
-
----
-
-## Formatting
-
-Fix all formatting lint errors (trailing spaces, tabs, newlines, indentation) using auto-fix when available. All TypeScript/ESLint warnings and errors **must** be resolved.

Dockerfile

@@ -1,60 +1,35 @@
-# v0.8.5-rc1
+FROM node:19-alpine AS react-client
+WORKDIR /client
+# copy package.json into the container at /client
+COPY /client/package*.json /client/
+# install dependencies
+RUN npm ci
+# Copy the current directory contents into the container at /client
+COPY /client/ /client/
+# Build webpack artifacts
+RUN npm run build
 
-# Base node image
-FROM node:20-alpine AS node
-
-RUN apk upgrade --no-cache
-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:0.9.5-python3.12-alpine /usr/local/bin/uv /usr/local/bin/uvx /bin/
-RUN uv --version
-
-# Set configurable max-old-space-size with default
-ARG NODE_MAX_OLD_SPACE_SIZE=6144
-
-RUN mkdir -p /app && chown node:node /app
-WORKDIR /app
-
-USER node
-
-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
-
-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/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 with configurable memory
-    NODE_OPTIONS="--max-old-space-size=${NODE_MAX_OLD_SPACE_SIZE}" npm run frontend; \
-    npm prune --production; \
-    npm cache clean --force
-
-# Node API setup
+FROM node:19-alpine AS node-api
+WORKDIR /api
+# copy package.json into the container at /api
+COPY /api/package*.json /api/
+# install dependencies
+RUN npm ci
+# Copy the current directory contents into the container at /api
+COPY /api/ /api/
+# Copy the client side code
+COPY --from=react-client /client/public /client/public
+# Make port 3080 available to the world outside this container
 EXPOSE 3080
+# Expose the server to 0.0.0.0
 ENV HOST=0.0.0.0
-CMD ["npm", "run", "backend"]
+# Run the app when the container launches
+CMD ["npm", "start"]
 
 # Optional: for client with nginx routing
-# FROM nginx:stable-alpine AS nginx-client
-# WORKDIR /usr/share/nginx/html
-# COPY --from=node /app/client/dist /usr/share/nginx/html
-# COPY client/nginx.conf /etc/nginx/conf.d/default.conf
-# ENTRYPOINT ["nginx", "-g", "daemon off;"]
+FROM nginx:stable-alpine AS nginx-client
+WORKDIR /usr/share/nginx/html
+COPY --from=react-client /client/public /usr/share/nginx/html
+# Add your nginx.conf
+COPY /client/nginx.conf /etc/nginx/conf.d/default.conf
+ENTRYPOINT ["nginx", "-g", "daemon off;"]

Dockerfile.multi

@@ -1,87 +0,0 @@
-# Dockerfile.multi
-# v0.8.5-rc1
-
-# Set configurable max-old-space-size with default
-ARG NODE_MAX_OLD_SPACE_SIZE=6144
-
-# Base for all builds
-FROM node:20-alpine AS base-min
-RUN apk upgrade --no-cache
-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
-ARG NODE_MAX_OLD_SPACE_SIZE
-ENV NODE_OPTIONS="--max-old-space-size=${NODE_MAX_OLD_SPACE_SIZE}"
-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 +1,6 @@
 MIT License
 
-Copyright (c) 2026 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

README.md

@@ -1,225 +1,367 @@
-<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>
+# ChatGPT Clone #
+https://user-images.githubusercontent.com/110412045/223754183-8b7f45ce-6517-4bd5-9b39-c624745bf399.mp4
 
-<p align="center">
-  <strong>English</strong> ·
-  <a href="README.zh.md">中文</a>
-</p>
+## All AI Conversations under One Roof. ##
+  Assistant AIs are the future and OpenAI revolutionized this movement with ChatGPT. While numerous methods exist to integrate them, this app commemorates the original styling of ChatGPT, with the ability to integrate any current/future AI models, while improving upon original client features, such as conversation search and prompt templates (currently WIP).
 
-<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>
-</p>
+  This project was started early in Feb '23, anticipating the release of the official ChatGPT API from OpenAI, and now uses it. Through this clone, you can avoid ChatGPT Plus in favor of free or pay-per-call APIs. I will soon deploy a demo of this app. Feel free to contribute, clone, or fork. Currently dockerized.
 
-<p align="center">
-<a href="https://railway.com/deploy/librechat-official?referralCode=HI9hWz&utm_medium=integration&utm_source=readme&utm_campaign=librechat">
-  <img src="https://railway.com/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>
-</p>
+## Updates
+<details open>
+<summary><strong>2023-03-22</strong></summary>
 
 
-# ✨ Features
 
-- 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
+**Released [v0.0.6](https://github.com/danny-avila/chatgpt-clone/releases/tag/v0.0.6)**, the latest stable release before **Searching messages** goes live tomorrow. See exact updates to date in the tag link. By request, there is now also a **[community discord server](https://discord.gg/NGaa9RPCft)**
 
-- 🤖 **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
+</details>
 
-- 🔧 **[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
+<details>
+<summary><strong>Previous Updates</strong></summary>
+<details>
 
-- 🔦 **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)**
+<summary><strong>2023-03-20</strong></summary>
 
-- 🪄 **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
+**Searching messages** is almost here as I test more of its functionality. There've been a lot of great features requested and great contributions and I will work on some soon, namely, further customizing the custom gpt params with sliders similar to the OpenAI playground, and including the custom params and system messages available to Bing.
 
-- 💬 **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 🗃️
+The above features are next and then I will have to focus on building the **test environment.** I would **greatly appreciate** help in this area with any test environment you're familiar with (mocha, chai, jest, playwright, puppeteer). This is to aid in the velocity of contributing and to save time I spend debugging.
 
-- 🌎 **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
+On that note, I had to switch the default branch due to some breaking changes that haven't been straight forward to debug, mainly related to node-chat-gpt the main dependency of the project. Thankfully, my working branch, now switched to default as main, is working as expected.
 
-- 🧠 **Reasoning UI**:  
-  - Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
+</details>
+<details>
+<summary><strong>2023-03-16</strong></summary>
 
-- 🎨 **Customizable Interface**:  
-  - Customizable Dropdown & Interface that adapts to both power users and newcomers
 
-- 🌊 **[Resumable Streams](https://www.librechat.ai/docs/features/resumable_streams)**:  
-  - Never lose a response: AI responses automatically reconnect and resume if your connection drops
-  - Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
-  - Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
 
-- 🗣️ **Speech & Audio**:  
-  - Chat hands-free with Speech-to-Text and Text-to-Speech  
-  - Automatically send and play Audio  
-  - Supports OpenAI, Azure OpenAI, and Elevenlabs
+[Latest release (v0.0.4)](https://github.com/danny-avila/chatgpt-clone/releases/tag/v0.0.4) includes Resubmitting messages & Branching messages, which mirrors official ChatGPT feature of editing a sent message, that then branches the conversation into separate message paths (works only with ChatGPT)
 
-- 📥 **Import & Export Conversations**:  
-  - Import Conversations from LibreChat, ChatGPT, Chatbot UI  
-  - Export conversations as screenshots, markdown, text, json
+Full details and [example here](https://github.com/danny-avila/chatgpt-clone/releases/tag/v0.0.4). Message search is on the docket
 
-- 🔍 **Search & Discovery**:  
-  - Search all messages/conversations
+</details>
+<details>
+<summary><strong>2023-03-12</strong></summary>
 
-- 👥 **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/) 📚
+Really thankful for all the issues reported and contributions made, the project's features and improvements have accelerated as result. Honorable mention is [wtlyu](https://github.com/wtlyu) for contributing a lot of mindful code, namely hostname configuration and mobile styling. I will upload images on next release for faster docker setup, and starting updating them simultaneously with this repo.
 
-## 🪶 All-In-One AI Conversations with LibreChat
 
-LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
 
-Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
+Many improvements across the board, the biggest is being able to start conversations simultaneously (again thanks to [wtlyu](https://github.com/wtlyu) for bringing it to my attention), as you can switch conversations or start a new chat without any response streaming from a prior one, as the backend will still process/save client responses. Just watch out for any rate limiting from OpenAI/Microsoft if this is done excessively.
 
-Open source, actively developed, and built for anyone who values control over their AI infrastructure.
 
----
+Adding support for conversation search is next! Thank you [mysticaltech](https://github.com/mysticaltech) for bringing up a method I can use for this.
+</details>
+<details>
+<summary><strong>2023-03-09</strong></summary>
+Released v.0.0.2
 
-## 🌐 Resources
+Adds Sydney (jailbroken Bing AI) to the model menu. Thank you [DavesDevFails](https://github.com/DavesDevFails) for bringing it to my attention in this [issue](https://github.com/danny-avila/chatgpt-clone/issues/13). Bing/Sydney now correctly cite links, more styling to come. Fix some overlooked bugs, and model menu doesn't close upon deleting a customGpt.
 
-**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)
+I've re-enabled the ChatGPT browser client (free version) since it might be working for most people, it no longer works for me. Sydney is the best free route anyway.
+</details>
+<details>
+<summary><strong>2023-03-07</strong></summary>
+Due to increased interest in the repo, I've dockerized the app as of this update for quick setup! See setup instructions below. I realize this still takes some time with installing docker dependencies, so it's on the roadmap to have a deployed demo. Besides this, I've made major improvements for a lot of the existing features across the board, mainly UI/UX.
 
----
 
-## 📝 Changelog
+Also worth noting, the method to access the Free Version is no longer working, so I've removed it from model selection until further notice.
+</details>
+<details>
+<summary><strong>2023-03-04</strong></summary>
+Custom prompt prefixing and labeling is now supported through the official API. This nets some interesting results when you need ChatGPT for specific uses or entertainment. Select 'CustomGPT' in the model menu to configure this, and you can choose to save the configuration or reference it by conversation. Model selection will change by conversation.
+</details>
+<details>
+<summary><strong>2023-03-01</strong></summary>
+Official ChatGPT API is out! Removed davinci since the official API is extremely fast and 10x less expensive. Since user labeling and prompt prefixing is officially supported, I will add a View feature so you can set this within chat, which gives the UI an added use case. I've kept the BrowserClient, since it's free to use like the official site.
 
-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) 
+The Messages UI correctly mirrors code syntax highlighting. The exact replication of the cursor is not 1-to-1 yet, but pretty close. Later on in the project, I'll implement tests for code edge cases and explore the possibility of running code in-browser. Right now, unknown code defaults to javascript, but will detect language as close as possible.
+</details>
+<details>
+<summary><strong>2023-02-21</strong></summary>
+BingAI is integrated (although sadly limited by Microsoft with the 5 msg/convo limit, 50 msgs/day). I will need to handle the case when Bing refuses to give more answers on top of the other styling features I have in mind. Official ChatGPT use is back with the new BrowserClient. Brainstorming how to handle the UI when the Ai model changes, since conversations can't be persisted between them (or perhaps build a way to achieve this at some level).
+</details>
+<details >
+<summary><strong>2023-02-15</strong></summary>
+Just got access to Bing AI so I'll be focusing on integrating that through waylaidwanderer's 'experimental' BingAIClient.
+</details>
+<details>
+<summary><strong>2023-02-14</strong></summary>
 
-**⚠️ Please consult the [changelog](https://www.librechat.ai/changelog) for breaking changes before updating.**
+Official ChatGPT use is no longer possible though I recently used it with waylaidwanderer's [reverse proxy method](https://github.com/waylaidwanderer/node-chatgpt-api/blob/main/README.md#using-a-reverse-proxy), and before that, through leaked models he also discovered.
 
----
+Currently, this project is only functional with the `text-davinci-003` model.
+</details>
+</details>
 
-## ⭐ Star History
+# Table of Contents
+- [ChatGPT Clone](#chatgpt-clone)
+  - [All AI Conversations under One Roof.](#all-ai-conversations-under-one-roof)
+  - [Updates](#updates)
+- [Table of Contents](#table-of-contents)
+  - [Roadmap](#roadmap)
+    - [Features](#features)
+    - [Tech Stack](#tech-stack)
+  - [Getting Started](#getting-started)
+    - [Prerequisites](#prerequisites)
+  - [Usage](#usage)
+    - [Local](#local)
+    - [Docker](#docker)
+    - [Access Tokens](#access-tokens)
+    - [Proxy](#proxy)
+    - [User System](#user-system)
+    - [Updating](#updating)
+  - [Use Cases](#use-cases)
+  - [Origin](#origin)
+  - [Caveats](#caveats)
+    - [Regarding use of Official ChatGPT API](#regarding-use-of-official-chatgpt-api)
+  - [Contributing](#contributing)
+  - [License](#license)
 
-<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>
+## Roadmap
 
----
+> **Warning**
 
-## ✨ Contributions
+>  This is a work in progress. I'm building this in public. FYI there is still a lot of tech debt to cleanup. You can follow the progress here or on my [Linkedin](https://www.linkedin.com/in/danny-avila).
 
-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).
+<details>
+<summary><strong>Here are my recently completed and planned features:</strong></summary>
 
----
+- [x] Persistent conversation
+- [x] Rename, delete conversations
+- [x] UI Error handling
+- [x] Bing AI integration
+- [x] AI model change handling (start new convos within existing, remembers last selected)
+- [x] Code block handling (highlighting, markdown, clipboard, language detection)
+- [x] Markdown handling
+- [x] Customize prompt prefix/label (custom ChatGPT using official API)
+- [x] Server convo pagination (limit fetch and load more with 'show more' button)
+- [x] Config file for easy startup (docker compose)
+- [x] Mobile styling (thanks to [wtlyu](https://github.com/wtlyu))
+- [x] Resubmit/edit sent messages (thanks to [wtlyu](https://github.com/wtlyu))
+- [ ] Message Search
+- [ ] Custom params for ChatGPT API (temp, top_p, presence_penalty)
+- [ ] Bing AI Styling (params, suggested responses, convo end, etc.) - **In progress**
+- [ ] Add warning before clearing convos
+- [ ] Build test suite for CI/CD
+- [ ] Prompt Templates/Search
+- [ ] Refactor/clean up code (tech debt)
+- [ ] Optional use of local storage for credentials
+- [ ] Deploy demo
 
-## 💖 This project exists in its current state thanks to all the people who contribute
+</details>
 
-<a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
-</a>
+### Features
 
----
+- Response streaming identical to ChatGPT through server-sent events
+- UI from original ChatGPT, including Dark mode
+- AI model selection (official ChatGPT API, BingAI, ChatGPT Free)
+- Create and Save custom ChatGPTs*
 
-## 🎉 Special Thanks
+^* ChatGPT can be 'customized' by setting a system message or prompt prefix and alternate 'role' to the API request
 
-We thank [Locize](https://locize.com) for their translation management tools that support multiple languages in LibreChat.
+[More info here](https://platform.openai.com/docs/guides/chat/instructing-chat-models). Here's an [example from this app.]()
 
-<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>
+### Tech Stack
+
+
+<details>
+<summary><strong>This project uses:</strong></summary>
+
+
+
+- [node-chatgpt-api](https://github.com/waylaidwanderer/node-chatgpt-api)
+- No React boilerplate/toolchain/clone tutorials, created from scratch with react@latest
+- Use of Tailwind CSS and [shadcn/ui](https://github.com/shadcn/ui) components
+- Docker, useSWR, Redux, Express, MongoDB, [Keyv](https://www.npmjs.com/package/keyv)
+</details>
+
+
+
+## Getting Started
+
+### Prerequisites
+- npm
+- Node.js >= 19.0.0
+- MongoDB installed or [MongoDB Atlas](https://account.mongodb.com/account/login) (required if not using Docker)
+    - MongoDB does not support older ARM CPUs like those found in Raspberry Pis. However, you can make it work by setting MongoDB's version to mongo:4.4.18 in docker-compose.yml, the most recent version compatible with
+- [Docker (optional)](https://www.docker.com/get-started/)
+- [OpenAI API key](https://platform.openai.com/account/api-keys)
+- BingAI, ChatGPT access tokens (optional, free AIs)
+
+## Usage
+
+- **Clone/download** the repo down where desired
+```bash
+  git clone https://github.com/danny-avila/chatgpt-clone.git
+```
+- If using MongoDB Atlas, remove `&w=majority` from default connection string.
+
+### Local
+- **Run npm** ci in both the api and client directories
+- **Provide** all credentials, (API keys, access tokens, and Mongo Connection String) in api/.env [(see .env example)](api/.env.example)
+- **Run** `npm run build` in /client/ dir, `npm start` in /api/ dir
+- **Visit** http://localhost:3080 (default port) & enjoy
+
+By default, only local machine can access this server. To share within network or serve as a public server, set `HOST` to `0.0.0.0` in `.env` file
+
+### Docker
+
+- **Provide** all credentials, (API keys, access tokens, and Mongo Connection String) in [docker-compose.yml](docker-compose.yml) under api service
+- **Run** `docker-compose up` to start the app
+- Note: MongoDB does not support older ARM CPUs like those found in Raspberry Pis. However, you can make it work by setting MongoDB's version to mongo:4.4.18 in docker-compose.yml, the most recent version compatible with
+
+### Access Tokens
+
+<details>
+<summary><strong>ChatGPT Free Instructions</strong></summary>
+
+To get your Access token For ChatGPT 'Free Version', login to chat.openai.com, then visit https://chat.openai.com/api/auth/session.
+
+
+**Warning:** There may be a high chance of your account being banned with this method. Continue doing so at your own risk.
+
+</details>
+
+<details>
+<summary><strong>BingAI Instructions</strong></summary>
+The Bing Access Token is the "_U" cookie from bing.com. Use dev tools or an extension while logged into the site to view it.
+
+**Note:** Specific error handling and styling for this model is still in progress.
+</details>
+
+### Proxy
+
+If your server cannot connect to the chatGPT API server by some reason, (eg in China). You can set a environment variable `PROXY`. This will be transmitted to `node-chatgpt-api` interface.
+
+**Warning:** `PROXY` is not `reverseProxyUrl` in `node-chatgpt-api`
+
+<details>
+<summary><strong>Set up proxy in local environment </strong></summary>
+
+Here is two ways to set proxy.
+- Option 1: system level environment
+`export PROXY="http://127.0.0.1:7890"`
+- Option 2: set in .env file
+`PROXY="http://127.0.0.1:7890"`
+
+**Change `http://127.0.0.1:7890` to your proxy server**
+</details>
+
+<details>
+<summary><strong>Set up proxy in docker environment </strong></summary>
+
+set in docker-compose.yml file, under services - api - environment
+
+```
+    api:
+        ...
+        environment:
+                ...
+                - "PROXY=http://127.0.0.1:7890"
+                # add this line ↑
+```
+
+**Change `http://127.0.0.1:7890` to your proxy server**
+
+</details>
+
+### User System
+
+By default, there is no user system enabled, so anyone can access your server.
+
+**This project is not designed to provide a complete and full-featured user system.** It's not high priority task and might never be provided.
+
+[wtlyu](https://github.com/wtlyu) provide a sample user system structure, that you can implement your own user system. It's simple and not a ready-for-use edition. 
+
+(If you want to implement your user system, open this ↓)
+
+<details>
+<summary><strong>Implement your own user system </strong></summary>
+
+To enable the user system, set `ENABLE_USER_SYSTEM=1` in your `.env` file.
+
+The sample structure is simple. It provide three basic endpoint:
+
+1. `/auth/login` will redirect to your own login url. In the sample code, it's `/auth/your_login_page`.
+2. `/auth/logout` will redirect to your own logout url. In the sample code, it's `/auth/your_login_page/logout`.
+3. `/api/me` will return the userinfo: `{ username, display }`.
+   1. `username` will be used in db, used to distinguish between users.
+   2. `display` will be displayed in UI.
+
+The only one thing that drive user system work is `req.session.user`. Once it's set, the client will be trusted. Set to `null` if logout.
+
+Please refer to `/api/server/routes/authYourLogin.js` file. It's very clear and simple to tell you how to implement your user system.
+
+Or you can ask chatGPT to write the code for you, here is one example to connect LDAP:
+
+```
+Please write me an express module, that serve the login and logout endpoint as a router. The login and logout uri is '/' and '/logout'. Once loginned, save display name and username in session.user, as {display, username}. Then redirect to '/'. Please write the code using express and other lib, and storage any server configuration in a config variable. I want the user to be connected to my LDAP server.
+```
+
+</details>
+
+
+### Updating
+
+- As the project is still a work-in-progress, you should pull the latest and run the steps over. Reset your browser cache/clear site data.
+
+## Use Cases ##
+
+
+
+<details>
+<summary><strong> Why use this project? </strong></summary>
+
+  - One stop shop for all conversational AIs, with the added bonus of searching past conversations.
+  - Using the official API, you'd have to generate 7.5 million words to expense the same cost as ChatGPT Plus ($20).
+  - ChatGPT/Google Bard/Bing AI conversations are lost in space or
+  cannot be searched past a certain timeframe.
+  - **Customize ChatGPT**
+
+    ![use case example](./images/use_case3.png "Make a Custom GPT")
+
+  - **API is not as limited as ChatGPT Free (at [chat.openai.com](https://chat.openai.com/chat))**
+
+    ![use case example](./images/use_case2.png "chat.openai.com is getting more limited by the day!")
+
+  - **ChatGPT Free is down.**
+
+    ![use case example](./images/use_case.png "GPT is down! Plus is too expensive!")
+    
+    </details>
+
+
+## Origin ##
+  This project was originally created as a Minimum Viable Product (or MVP) for the [@HackReactor](https://github.com/hackreactor/) Bootcamp. It was built with OpenAI response streaming and most of the UI completed in under 20 hours. During the end of that time, I had most of the UI and basic functionality done. This was created without using any boilerplates or templates, including create-react-app and other toolchains. I didn't follow any 'un-official chatgpt' video tutorials, and simply referenced the official site for the UI. The purpose of the exercise was to learn setting up a full stack project from scratch. Please feel free to give feedback, suggestions, or fork the project for your own use.
+
+
+## Caveats
+### Regarding use of Official ChatGPT API
+From [@waylaidwanderer](https://github.com/waylaidwanderer/node-chatgpt-api/blob/main/README.md#caveats):
+
+Since `gpt-3.5-turbo` is ChatGPT's underlying model, I had to do my best to replicate the way the official ChatGPT website uses it.
+This means my implementation or the underlying model may not behave exactly the same in some ways:
+- Conversations are not tied to any user IDs, so if that's important to you, you should implement your own user ID system.
+- ChatGPT's model parameters (temperature, frequency penalty, etc.) are unknown, so I set some defaults that I thought would be reasonable.
+- Conversations are limited to roughly the last 3000 tokens, so earlier messages may be forgotten during longer conversations.
+  - This works in a similar way to ChatGPT, except I'm pretty sure they have some additional way of retrieving context from earlier messages when needed (which can probably be achieved with embeddings, but I consider that out-of-scope for now).
+
+## Contributing
+
+Contributions and suggestions welcome! Bug reports and fixes are welcome!
+
+For new features, components, or extensions, please open an issue and discuss before sending a PR. 
+
+- Join the [Discord community](https://discord.gg/NGaa9RPCft)
+
+## License
+This project is licensed under the MIT License.

README.zh.md

@@ -1,227 +0,0 @@
-<!-- Last synced with README.md: 2026-03-28 (cae3888) -->
-
-<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="README.md">English</a> ·
-  <strong>中文</strong>
-</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>
-</p>
-
-<p align="center">
-<a href="https://railway.com/deploy/librechat-official?referralCode=HI9hWz&utm_medium=integration&utm_source=readme&utm_campaign=librechat">
-  <img src="https://railway.com/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="翻译进度">
-  </a>
-</p>
-
-
-# ✨ 功能
-
-- 🖥️ **UI 与体验**：受 ChatGPT 启发，并具备更强的设计与功能。
-
-- 🤖 **AI 模型选择**：  
-  - Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (包含 Azure)
-  - [自定义端点 (Custom Endpoints)](https://www.librechat.ai/docs/quick_start/custom_endpoints)：LibreChat 支持任何兼容 OpenAI 规范的 API，无需代理。
-  - 兼容[本地与远程 AI 服务商](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 等。
-
-- 🔧 **[代码解释器 (Code Interpreter) API](https://www.librechat.ai/docs/features/code_interpreter)**： 
-  - 安全的沙箱执行环境，支持 Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust 和 Fortran。
-  - 无缝文件处理：直接上传、处理并下载文件。
-  - 隐私无忧：完全隔离且安全的执行环境。
-
-- 🔦 **智能体与工具集成**：  
-  - **[LibreChat 智能体 (Agents)](https://www.librechat.ai/docs/features/agents)**：
-    - 无代码定制助手：无需编程即可构建专业化的 AI 驱动助手。
-    - 智能体市场：发现并部署社区构建的智能体。
-    - 协作共享：与特定用户和群组共享智能体。
-    - 灵活且可扩展：支持 MCP 服务器、工具、文件搜索、代码执行等。
-    - 兼容自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API 等。
-    - [支持模型上下文协议 (MCP)](https://modelcontextprotocol.io/clients#librechat) 用于工具调用。
-
-- 🔍 **网页搜索**：  
-  - 搜索互联网并检索相关信息以增强 AI 上下文。
-  - 结合搜索提供商、内容爬虫和结果重排序，确保最佳检索效果。
-  - **可定制 Jina 重排序**：配置自定义 Jina API URL 用于重排序服务。
-  - **[了解更多 →](https://www.librechat.ai/docs/features/web_search)**
-
-- 🪄 **支持代码 Artifacts 的生成式 UI**：  
-  - [代码 Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) 允许在对话中直接创建 React 组件、HTML 页面和 Mermaid 图表。
-
-- 🎨 **图像生成与编辑**：
-  - 使用 [GPT-Image-1](https://www.librechat.ai/docs/features/image_gen#1--openai-image-tools-recommended) 进行文生图与图生图。
-  - 支持 [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) 或任何 [MCP 服务器](https://www.librechat.ai/docs/features/image_gen#5--model-context-protocol-mcp)。
-  - 根据提示词生成惊艳的视觉效果，或通过指令精修现有图像。
-
-- 💾 **预设与上下文管理**：  
-  - 创建、保存并分享自定义预设。
-  - 在对话中随时切换 AI 端点和预设。
-  - 编辑、重新提交并通过对话分支继续消息。
-  - 创建并与特定用户和群组共享提示词。
-  - [消息与对话分叉 (Fork)](https://www.librechat.ai/docs/features/fork) 以实现高级上下文控制。
-
-- 💬 **多模态与文件交互**：  
-  - 使用 Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision 和 Gemini 上传并分析图像 📸。  
-  - 支持通过自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock 和 Google 进行文件对话 🗃️。
-
-- 🌎 **多语言 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
-
-- 🧠 **推理 UI**：  
-  - 针对 DeepSeek-R1 等思维链/推理 AI 模型的动态推理 UI。
-
-- 🎨 **可定制界面**：  
-  - 可定制的下拉菜单和界面，同时适配高级用户和初学者。
-
-- 🌊 **[可恢复流 (Resumable Streams)](https://www.librechat.ai/docs/features/resumable_streams)**：
-  - 永不丢失响应：AI 响应在连接中断后自动重连并继续。
-  - 多标签页与多设备同步：在多个标签页打开同一对话，或在另一设备上继续。
-  - 生产级可靠性：支持从单机部署到基于 Redis 的水平扩展。
-
-- 🗣️ **语音与音频**：  
-  - 通过语音转文字和文字转语音实现免提对话。  
-  - 自动发送并播放音频。  
-  - 支持 OpenAI, Azure OpenAI 和 Elevenlabs。
-
-- 📥 **导入与导出对话**：  
-  - 从 LibreChat, ChatGPT, Chatbot UI 导入对话。  
-  - 将对话导出为截图、Markdown、文本、JSON。
-
-- 🔍 **搜索与发现**：  
-  - 搜索所有消息和对话。
-
-- 👥 **多用户与安全访问**：
-  - 支持 OAuth2, LDAP 和电子邮件登录的多用户安全认证。
-  - 内置审核系统和 Token 消耗管理工具。
-
-- ⚙️ **配置与部署**：  
-  - 支持代理、反向代理、Docker 及多种部署选项。  
-  - 可完全本地运行或部署在云端。
-
-- 📖 **开源与社区**：  
-  - 完全开源且在公众监督下开发。  
-  - 社区驱动的开发、支持与反馈。
-
-[查看我们的文档了解更多功能详情](https://docs.librechat.ai/) 📚
-
-## 🪶 LibreChat：全方位的 AI 对话平台
-
-LibreChat 是一个自托管的 AI 对话平台，在一个注重隐私的统一界面中整合了所有主流 AI 服务商。
-
-除了对话功能外，LibreChat 还提供 AI 智能体、模型上下文协议 (MCP) 支持、Artifacts、代码解释器、自定义操作、对话搜索，以及企业级多用户认证。
-
-开源、活跃开发中，专为重视 AI 基础设施自主可控的用户而构建。
-
----
-
-## 🌐 资源
-
-**GitHub 仓库：**
-  - **RAG API:** [github.com/danny-avila/rag_api](https://github.com/danny-avila/rag_api)
-  - **网站:** [github.com/LibreChat-AI/librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
-
-**其他：**
-  - **官方网站:** [librechat.ai](https://librechat.ai)
-  - **帮助文档:** [librechat.ai/docs](https://librechat.ai/docs)
-  - **博客:** [librechat.ai/blog](https://librechat.ai/blog)
-
----
-
-## 📝 更新日志
-
-访问发布页面和更新日志以了解最新动态：
-- [发布页面 (Releases)](https://github.com/danny-avila/LibreChat/releases)
-- [更新日志 (Changelog)](https://www.librechat.ai/changelog)
-
-**⚠️ 在更新前请务必查看[更新日志](https://www.librechat.ai/changelog)以了解破坏性更改。**
-
----
-
-## ⭐ Star 历史
-
-<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 - 2024年第一季度增长最快的开源初创公司 | Runa Capital" width="260" height="56"/>
-  </a>
-</p>
-
----
-
-## ✨ 贡献
-
-欢迎任何形式的贡献、建议、错误报告和修复！
-
-对于新功能、组件或扩展，请在发送 PR 前开启 issue 进行讨论。
-
-如果您想帮助我们将 LibreChat 翻译成您的母语，我们非常欢迎！改进翻译不仅能让全球用户更轻松地使用 LibreChat，还能提升整体用户体验。请查看我们的[翻译指南](https://www.librechat.ai/docs/translation)。
-
----
-
-## 💖 感谢所有贡献者
-
-<a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
-</a>
-
----
-
-## 🎉 特别鸣谢
-
-感谢 [Locize](https://locize.com) 提供的翻译管理工具，支持 LibreChat 的多语言功能。
-
-<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>

api/.env.example

@@ -0,0 +1,64 @@
+# Server configuration. 
+# The server will listen to localhost:3080 request by default. You can set the target ip as you want.
+# If you want this server can be used outside your local machine, for example to share with other 
+# machine or expose this from a docker container, set HOST=0.0.0.0 or your external ip interface.
+#
+# Tips: HOST=0.0.0.0 means listening on all interface. It's not a real ip. Use localhost:port rather
+# than 0.0.0.0:port to open it.
+HOST=localhost 
+PORT=3080
+NODE_ENV=development
+
+# Change this to proxy any API request. It's useful if your machine have difficulty calling the original API server.
+# PROXY="http://YOUR_PROXY_SERVER"
+
+# Change this to your MongoDB URI if different and I recommend appending chatgpt-clone
+MONGO_URI="mongodb://127.0.0.1:27017/chatgpt-clone"
+
+# API key configuration.
+# Leave blank if you don't want them.
+OPENAI_KEY=
+BING_TOKEN=
+
+# 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 a 3rd party
+CHATGPT_TOKEN=
+# If you have access to other models on the official site, you can use them here.
+# Defaults to 'text-davinci-002-render-sha' if left empty.
+# options: gpt-4, text-davinci-002-render, text-davinci-002-render-paid, or text-davinci-002-render-sha
+# You cannot use a model that your account does not have access to. You can check 
+# which ones you have access to by opening DevTools and going to the Network tab. 
+# Refresh the page and look at the response body for https://chat.openai.com/backend-api/models.
+BROWSER_MODEL=
+
+# ENABLING SEARCH MESSAGES/CONVOS
+# Requires installation of free self-hosted Meilisearch or Paid Remote Plan (Remote not tested)
+# The easiest setup for this is through docker-compose, which takes care of it for you.
+# SEARCH=TRUE
+SEARCH=TRUE
+
+# REQUIRED FOR SEARCH: MeiliSearch Host, mainly for api server to connect to the search server.
+# must replace '0.0.0.0' with 'meilisearch' if serving meilisearch with docker-compose
+# MEILI_HOST='http://0.0.0.0:7700' # <-- local/remote
+MEILI_HOST='http://meilisearch:7700' # <-- docker-compose
+
+# REQUIRED FOR SEARCH: MeiliSearch HTTP Address, mainly for docker-compose to expose the search server.
+# must replace '0.0.0.0' with 'meilisearch' if serving meilisearch with docker-compose
+# MEILI_HTTP_ADDR='0.0.0.0:7700'  # <-- local/remote
+MEILI_HTTP_ADDR='meilisearch:7700'  # <-- docker-compose
+
+# REQUIRED FOR SEARCH: In production env., needs a secure key, feel free to 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.
+# MEILI_MASTER_KEY=                                           # <-- no/insecure key for local/remote
+MEILI_MASTER_KEY=JKMW-hGc7v_D1FkJVdbRSDNFLZcUv3S75yrxXP0SmcU # <-- ready made secure key for docker-compose
+
+
+# User System
+# global enable/disable the sample user system.
+# this is not a ready to use user system.
+# dont't use it, unless you can write your own code.
+ENABLE_USER_SYSTEM=FALSE

api/.eslintrc.js

@@ -0,0 +1,39 @@
+module.exports = {
+  env: {
+    es2021: true,
+    node: true
+  },
+  extends: ['eslint:recommended'],
+  overrides: [],
+  parserOptions: {
+    ecmaVersion: 'latest',
+    sourceType: 'module'
+  },
+  rules: {
+    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'
+  }
+};

api/.prettierrc

@@ -0,0 +1,22 @@
+{
+  "arrowParens": "avoid",
+  "bracketSpacing": true,
+  "endOfLine": "lf",
+  "htmlWhitespaceSensitivity": "css",
+  "insertPragma": false,
+  "singleAttributePerLine": true,
+  "bracketSameLine": false,
+  "jsxBracketSameLine": false,
+  "jsxSingleQuote": false,
+  "printWidth": 110,
+  "proseWrap": "preserve",
+  "quoteProps": "as-needed",
+  "requirePragma": false,
+  "semi": true,
+  "singleQuote": true,
+  "tabWidth": 2,
+  "trailingComma": "none",
+  "useTabs": false,
+  "vueIndentScriptAndStyle": false,
+  "parser": "babel"
+}

api/app/clients/OllamaClient.js

@@ -1,167 +0,0 @@
-const { z } = require('zod');
-const axios = require('axios');
-const { Ollama } = require('ollama');
-const { sleep } = require('@librechat/agents');
-const { logger } = require('@librechat/data-schemas');
-const { Constants } = require('librechat-data-provider');
-const { resolveHeaders, deriveBaseURL } = require('@librechat/api');
-
-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/TextStream.js

@@ -1,60 +0,0 @@
-const { Readable } = require('stream');
-const { logger } = require('@librechat/data-schemas');
-
-class TextStream extends Readable {
-  constructor(text, options = {}) {
-    super(options);
-    this.text = text;
-    this.currentIndex = 0;
-    this.minChunkSize = options.minChunkSize ?? 2;
-    this.maxChunkSize = options.maxChunkSize ?? 4;
-    this.delay = options.delay ?? 20; // Time in milliseconds
-  }
-
-  _read() {
-    const { delay, minChunkSize, maxChunkSize } = this;
-
-    if (this.currentIndex < this.text.length) {
-      setTimeout(() => {
-        const remainingChars = this.text.length - this.currentIndex;
-        const chunkSize = Math.min(this.randomInt(minChunkSize, maxChunkSize + 1), remainingChars);
-
-        const chunk = this.text.slice(this.currentIndex, this.currentIndex + chunkSize);
-        this.push(chunk);
-        this.currentIndex += chunkSize;
-      }, delay);
-    } else {
-      this.push(null); // signal end of data
-    }
-  }
-
-  randomInt(min, max) {
-    return Math.floor(Math.random() * (max - min)) + min;
-  }
-
-  async processTextStream(onProgressCallback) {
-    const streamPromise = new Promise((resolve, reject) => {
-      this.on('data', (chunk) => {
-        onProgressCallback(chunk.toString());
-      });
-
-      this.on('end', () => {
-        // logger.debug('[processTextStream] Stream ended');
-        resolve();
-      });
-
-      this.on('error', (err) => {
-        reject(err);
-      });
-    });
-
-    try {
-      await streamPromise;
-    } catch (err) {
-      logger.error('[processTextStream] Error in text stream:', err);
-      // Handle the error appropriately, e.g., return an error message or throw an error
-    }
-  }
-}
-
-module.exports = TextStream;

api/app/clients/bingai.js

@@ -0,0 +1,55 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const askBing = async ({ text, onProgress, convo }) => {
+  const { BingAIClient } = (await import('@waylaidwanderer/chatgpt-api'));
+
+  const bingAIClient = new BingAIClient({
+    // "_U" cookie from bing.com
+    userToken: process.env.BING_TOKEN,
+    // If the above doesn't work, provide all your cookies as a string instead
+    // cookies: '',
+    debug: false,
+    cache: { store: new KeyvFile({ filename: './data/cache.json' }) },
+    proxy: process.env.PROXY || null,
+  });
+
+  let options = { onProgress };
+  if (convo) {
+    options = { ...options, ...convo };
+  }
+
+  if (options?.jailbreakConversationId == 'false')
+    options.jailbreakConversationId = false
+
+  const res = await bingAIClient.sendMessage(text, options);
+
+  return res;
+
+  // Example response for reference
+  // {
+  //   conversationSignature: 'wwZ2GC/qRgEqP3VSNIhbPGwtno5RcuBhzZFASOM+Sxg=',
+  //   conversationId: '51D|BingProd|026D3A4017554DE6C446798144B6337F4D47D5B76E62A31F31D0B1D0A95ED868',
+  //   clientId: '914800201536527',
+  //   invocationId: 1,
+  //   conversationExpiryTime: '2023-02-15T21:48:46.2892088Z',
+  //   response: 'Hello, this is Bing. Nice to meet you. 😊',
+  //   details: {
+  //     text: 'Hello, this is Bing. Nice to meet you. 😊',
+  //     author: 'bot',
+  //     createdAt: '2023-02-15T15:48:43.0631898+00:00',
+  //     timestamp: '2023-02-15T15:48:43.0631898+00:00',
+  //     messageId: '9d0c9a80-91b1-49ab-b9b1-b457dc3fe247',
+  //     requestId: '5b252ef8-4f09-4c08-b6f5-4499d2e12fba',
+  //     offense: 'None',
+  //     adaptiveCards: [ [Object] ],
+  //     sourceAttributions: [],
+  //     feedback: { tag: null, updatedOn: null, type: 'None' },
+  //     contentOrigin: 'DeepLeo',
+  //     privacy: null,
+  //     suggestedResponses: [ [Object], [Object], [Object] ]
+  //   }
+  // }
+};
+
+module.exports = { askBing };

api/app/clients/chatgpt-browser.js

@@ -0,0 +1,43 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+const set = new Set(["gpt-4", "text-davinci-002-render", "text-davinci-002-render-paid", "text-davinci-002-render-sha"]);
+
+const clientOptions = {
+  // Warning: This will expose your access token to a third party. Consider the risks before using this.
+  reverseProxyUrl: 'https://bypass.duti.tech/api/conversation',
+  // Access token from https://chat.openai.com/api/auth/session
+  accessToken: process.env.CHATGPT_TOKEN,
+  // debug: true
+  proxy: process.env.PROXY || null,
+};
+
+// You can check which models you have access to by opening DevTools and going to the Network tab. 
+// Refresh the page and look at the response body for https://chat.openai.com/backend-api/models.
+if (set.has(process.env.BROWSER_MODEL)) {
+  clientOptions.model = process.env.BROWSER_MODEL;
+}
+
+const browserClient = async ({ text, onProgress, convo, abortController }) => {
+  const { ChatGPTBrowserClient } = await import('@waylaidwanderer/chatgpt-api');
+
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  const client = new ChatGPTBrowserClient(clientOptions, store);
+  let options = { onProgress, abortController };
+
+  if (!!convo.parentMessageId && !!convo.conversationId) {
+    options = { ...options, ...convo };
+  }
+
+  /* will error if given a convoId at the start */
+  if (convo.parentMessageId.startsWith('0000')) {
+    delete options.conversationId;
+  }
+
+  const res = await client.sendMessage(text, options);
+  return res;
+};
+
+module.exports = { browserClient };

api/app/clients/chatgpt-client.js

@@ -0,0 +1,29 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const clientOptions = {
+  modelOptions: {
+    model: 'gpt-3.5-turbo'
+  },
+  proxy: process.env.PROXY || null,
+  debug: false
+};
+
+const askClient = async ({ text, onProgress, convo, abortController }) => {
+  const ChatGPTClient = (await import('@waylaidwanderer/chatgpt-api')).default;
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  const client = new ChatGPTClient(process.env.OPENAI_KEY, clientOptions, store);
+  let options = { onProgress, abortController };
+
+  if (!!convo.parentMessageId && !!convo.conversationId) {
+    options = { ...options, ...convo };
+  }
+
+  const res = await client.sendMessage(text, options);
+  return res;
+};
+
+module.exports = { askClient };

api/app/clients/chatgpt-custom.js

@@ -0,0 +1,35 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const clientOptions = {
+  modelOptions: {
+    model: 'gpt-3.5-turbo'
+  },
+  proxy: process.env.PROXY || null,
+  debug: false
+};
+
+const customClient = async ({ text, onProgress, convo, promptPrefix, chatGptLabel, abortController }) => {
+  const ChatGPTClient = (await import('@waylaidwanderer/chatgpt-api')).default;
+  const store = {
+    store: new KeyvFile({ filename: './data/cache.json' })
+  };
+
+  clientOptions.chatGptLabel = chatGptLabel;
+
+  if (promptPrefix?.length > 0) {
+    clientOptions.promptPrefix = promptPrefix;
+  }
+
+  const client = new ChatGPTClient(process.env.OPENAI_KEY, clientOptions, store);
+
+  let options = { onProgress, abortController };
+  if (!!convo.parentMessageId && !!convo.conversationId) {
+    options = { ...options, ...convo };
+  }
+
+  const res = await client.sendMessage(text, options);
+  return res;
+};
+
+module.exports = customClient;

api/app/clients/index.js

@@ -1,7 +0,0 @@
-const TextStream = require('./TextStream');
-const toolUtils = require('./tools/util');
-
-module.exports = {
-  TextStream,
-  ...toolUtils,
-};

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/index.js

@@ -1,13 +0,0 @@
-const formatMessages = require('./formatMessages');
-const summaryPrompts = require('./summaryPrompts');
-const truncate = require('./truncate');
-const createVisionPrompt = require('./createVisionPrompt');
-const createContextHandlers = require('./createContextHandlers');
-
-module.exports = {
-  ...formatMessages,
-  ...summaryPrompts,
-  ...truncate,
-  createVisionPrompt,
-  createContextHandlers,
-};

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

@@ -1,40 +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;
-}
-
-module.exports = { truncateText, smartTruncateText };

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/sydney.js

@@ -0,0 +1,36 @@
+require('dotenv').config();
+const { KeyvFile } = require('keyv-file');
+
+const askSydney = async ({ text, onProgress, convo }) => {
+  const { BingAIClient } = (await import('@waylaidwanderer/chatgpt-api'));
+
+  const sydneyClient = new BingAIClient({
+    // "_U" cookie from bing.com
+    userToken: process.env.BING_TOKEN,
+    // If the above doesn't work, provide all your cookies as a string instead
+    // cookies: '',
+    debug: false,
+    cache: { store: new KeyvFile({ filename: './data/cache.json' }) }
+  });
+
+  let options = {
+    jailbreakConversationId: true,
+    onProgress,
+  };
+
+  if (convo.jailbreakConversationId) {
+    options = { ...options, jailbreakConversationId: convo.jailbreakConversationId, parentMessageId: convo.parentMessageId };
+  }
+
+  console.log('sydney options', options);
+
+  const res = await sydneyClient.sendMessage(text, options
+  );
+
+  return res;
+
+  // for reference:
+  // https://github.com/waylaidwanderer/node-chatgpt-api/blob/main/demos/use-bing-client.js
+};
+
+module.exports = { askSydney };

api/app/clients/tools/index.js

@@ -1,30 +0,0 @@
-const manifest = require('./manifest');
-
-// Structured Tools
-const DALLE3 = require('./structured/DALLE3');
-const FluxAPI = require('./structured/FluxAPI');
-const OpenWeather = require('./structured/OpenWeather');
-const StructuredWolfram = require('./structured/Wolfram');
-const StructuredACS = require('./structured/AzureAISearch');
-const StructuredSD = require('./structured/StableDiffusion');
-const GoogleSearchAPI = require('./structured/GoogleSearch');
-const TraversaalSearch = require('./structured/TraversaalSearch');
-const createOpenAIImageTools = require('./structured/OpenAIImageTools');
-const TavilySearchResults = require('./structured/TavilySearchResults');
-const createGeminiImageTool = require('./structured/GeminiImageGen');
-
-module.exports = {
-  ...manifest,
-  // Structured Tools
-  DALLE3,
-  FluxAPI,
-  OpenWeather,
-  StructuredSD,
-  StructuredACS,
-  GoogleSearchAPI,
-  TraversaalSearch,
-  StructuredWolfram,
-  TavilySearchResults,
-  createOpenAIImageTools,
-  createGeminiImageTool,
-};

api/app/clients/tools/manifest.js

@@ -1,20 +0,0 @@
-const availableTools = require('./manifest.json');
-
-/** @type {Record<string, TPlugin | undefined>} */
-const manifestToolMap = {};
-
-/** @type {Array<TPlugin>} */
-const toolkits = [];
-
-availableTools.forEach((tool) => {
-  manifestToolMap[tool.pluginKey] = tool;
-  if (tool.toolkit === true) {
-    toolkits.push(tool);
-  }
-});
-
-module.exports = {
-  toolkits,
-  availableTools,
-  manifestToolMap,
-};

api/app/clients/tools/manifest.json

@@ -1,170 +0,0 @@
-[
-  {
-    "name": "Traversaal",
-    "pluginKey": "traversaal_search",
-    "description": "Traversaal is a robust search API tailored for LLM Agents. Get an API key here: https://api.traversaal.ai",
-    "icon": "https://traversaal.ai/favicon.ico",
-    "authConfig": [
-      {
-        "authField": "TRAVERSAAL_API_KEY",
-        "label": "Traversaal API Key",
-        "description": "Get your API key here: <a href=\"https://api.traversaal.ai\" target=\"_blank\">https://api.traversaal.ai</a>"
-      }
-    ]
-  },
-  {
-    "name": "Google",
-    "pluginKey": "google",
-    "description": "Use Google Search to find information about the weather, news, sports, and more.",
-    "icon": "assets/google-search.svg",
-    "authConfig": [
-      {
-        "authField": "GOOGLE_CSE_ID",
-        "label": "Google CSE ID",
-        "description": "This is your Google Custom Search Engine ID. For instructions on how to obtain this, see <a href='https://github.com/danny-avila/LibreChat/blob/main/docs/features/plugins/google_search.md'>Our Docs</a>."
-      },
-      {
-        "authField": "GOOGLE_SEARCH_API_KEY",
-        "label": "Google API Key",
-        "description": "This is your Google Custom Search API Key. For instructions on how to obtain this, see <a href='https://github.com/danny-avila/LibreChat/blob/main/docs/features/plugins/google_search.md'>Our Docs</a>."
-      }
-    ]
-  },
-  {
-    "name": "OpenAI Image Tools",
-    "pluginKey": "image_gen_oai",
-    "toolkit": true,
-    "description": "Image Generation and Editing using OpenAI's latest state-of-the-art models",
-    "icon": "assets/image_gen_oai.png",
-    "authConfig": [
-      {
-        "authField": "IMAGE_GEN_OAI_API_KEY",
-        "label": "OpenAI Image Tools API Key",
-        "description": "Your OpenAI API Key for Image Generation and Editing"
-      }
-    ]
-  },
-  {
-    "name": "Wolfram",
-    "pluginKey": "wolfram",
-    "description": "Access computation, math, curated knowledge & real-time data through Wolfram|Alpha and Wolfram Language.",
-    "icon": "https://www.wolframcdn.com/images/icons/Wolfram.png",
-    "authConfig": [
-      {
-        "authField": "WOLFRAM_APP_ID",
-        "label": "Wolfram App ID",
-        "description": "An AppID must be supplied in all calls to the Wolfram|Alpha API. You can get one by registering at <a href='http://products.wolframalpha.com/api/'>Wolfram|Alpha</a> and going to the <a href='https://developer.wolframalpha.com/portal/myapps/'>Developer Portal</a>."
-      }
-    ]
-  },
-  {
-    "name": "DALL-E-3",
-    "pluginKey": "dalle",
-    "description": "[DALL-E-3] Create realistic images and art from a description in natural language",
-    "icon": "assets/openai.svg",
-    "authConfig": [
-      {
-        "authField": "DALLE3_API_KEY||DALLE_API_KEY",
-        "label": "OpenAI API Key",
-        "description": "You can use DALL-E with your API Key from OpenAI."
-      }
-    ]
-  },
-  {
-    "name": "Tavily Search",
-    "pluginKey": "tavily_search_results_json",
-    "description": "Tavily Search is a robust search API tailored for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience.",
-    "icon": "assets/tavily.svg",
-    "authConfig": [
-      {
-        "authField": "TAVILY_API_KEY",
-        "label": "Tavily API Key",
-        "description": "Get your API key here: https://app.tavily.com/"
-      }
-    ]
-  },
-  {
-    "name": "Calculator",
-    "pluginKey": "calculator",
-    "description": "Perform simple and complex mathematical calculations.",
-    "icon": "assets/calculator.svg",
-    "authConfig": []
-  },
-  {
-    "name": "Stable Diffusion",
-    "pluginKey": "stable-diffusion",
-    "description": "Generate photo-realistic images given any text input.",
-    "icon": "assets/stability-ai.svg",
-    "authConfig": [
-      {
-        "authField": "SD_WEBUI_URL",
-        "label": "Your Stable Diffusion WebUI API URL",
-        "description": "You need to provide the URL of your Stable Diffusion WebUI API. For instructions on how to obtain this, see <a href='url'>Our Docs</a>."
-      }
-    ]
-  },
-  {
-    "name": "Azure AI Search",
-    "pluginKey": "azure-ai-search",
-    "description": "Use Azure AI Search to find information",
-    "icon": "assets/azure-ai-search.svg",
-    "authConfig": [
-      {
-        "authField": "AZURE_AI_SEARCH_SERVICE_ENDPOINT",
-        "label": "Azure AI Search Endpoint",
-        "description": "You need to provide your Endpoint for Azure AI Search."
-      },
-      {
-        "authField": "AZURE_AI_SEARCH_INDEX_NAME",
-        "label": "Azure AI Search Index Name",
-        "description": "You need to provide your Index Name for Azure AI Search."
-      },
-      {
-        "authField": "AZURE_AI_SEARCH_API_KEY",
-        "label": "Azure AI Search API Key",
-        "description": "You need to provide your API Key for Azure AI Search."
-      }
-    ]
-  },
-  {
-    "name": "OpenWeather",
-    "pluginKey": "open_weather",
-    "description": "Get weather forecasts and historical data from the OpenWeather API",
-    "icon": "assets/openweather.png",
-    "authConfig": [
-      {
-        "authField": "OPENWEATHER_API_KEY",
-        "label": "OpenWeather API Key",
-        "description": "Sign up at <a href=\"https://home.openweathermap.org/users/sign_up\" target=\"_blank\">OpenWeather</a>, then get your key at <a href=\"https://home.openweathermap.org/api_keys\" target=\"_blank\">API keys</a>."
-      }
-    ]
-  },
-  {
-    "name": "Flux",
-    "pluginKey": "flux",
-    "description": "Generate images using text with the Flux API.",
-    "icon": "assets/bfl-ai.svg",
-    "isAuthRequired": "true",
-    "authConfig": [
-      {
-        "authField": "FLUX_API_KEY",
-        "label": "Your Flux API Key",
-        "description": "Provide your Flux API key from your user profile."
-      }
-    ]
-  },
-  {
-    "name": "Gemini Image Tools",
-    "pluginKey": "gemini_image_gen",
-    "description": "Generate high-quality images using Google's Gemini Image Models. Supports Gemini API or Vertex AI.",
-    "icon": "assets/gemini_image_gen.svg",
-    "authConfig": [
-      {
-        "authField": "GEMINI_API_KEY||GOOGLE_KEY||GOOGLE_SERVICE_KEY_FILE",
-        "label": "Gemini API Key (optional)",
-        "description": "Your Google Gemini API Key from <a href='https://aistudio.google.com/app/apikey' target='_blank'>Google AI Studio</a>. Leave blank to use Vertex AI with a service account (GOOGLE_SERVICE_KEY_FILE or api/data/auth.json).",
-        "optional": true
-      }
-    ]
-  }
-]

api/app/clients/tools/structured/AzureAISearch.js

@@ -1,115 +0,0 @@
-const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
-
-const azureAISearchJsonSchema = {
-  type: 'object',
-  properties: {
-    query: {
-      type: 'string',
-      description: 'Search word or phrase to Azure AI Search',
-    },
-  },
-  required: ['query'],
-};
-
-class AzureAISearch extends Tool {
-  // Constants for default values
-  static DEFAULT_API_VERSION = '2023-11-01';
-  static DEFAULT_QUERY_TYPE = 'simple';
-  static DEFAULT_TOP = 5;
-
-  static get jsonSchema() {
-    return azureAISearchJsonSchema;
-  }
-
-  // Helper function for initializing properties
-  _initializeField(field, envVar, defaultValue) {
-    return field || process.env[envVar] || defaultValue;
-  }
-
-  constructor(fields = {}) {
-    super();
-    this.name = 'azure-ai-search';
-    this.description =
-      "Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
-    /* Used to initialize the Tool without necessary variables. */
-    this.override = fields.override ?? false;
-
-    this.schema = azureAISearchJsonSchema;
-
-    // Initialize properties using helper function
-    this.serviceEndpoint = this._initializeField(
-      fields.AZURE_AI_SEARCH_SERVICE_ENDPOINT,
-      'AZURE_AI_SEARCH_SERVICE_ENDPOINT',
-    );
-    this.indexName = this._initializeField(
-      fields.AZURE_AI_SEARCH_INDEX_NAME,
-      'AZURE_AI_SEARCH_INDEX_NAME',
-    );
-    this.apiKey = this._initializeField(fields.AZURE_AI_SEARCH_API_KEY, 'AZURE_AI_SEARCH_API_KEY');
-    this.apiVersion = this._initializeField(
-      fields.AZURE_AI_SEARCH_API_VERSION,
-      'AZURE_AI_SEARCH_API_VERSION',
-      AzureAISearch.DEFAULT_API_VERSION,
-    );
-    this.queryType = this._initializeField(
-      fields.AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE,
-      'AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE',
-      AzureAISearch.DEFAULT_QUERY_TYPE,
-    );
-    this.top = this._initializeField(
-      fields.AZURE_AI_SEARCH_SEARCH_OPTION_TOP,
-      'AZURE_AI_SEARCH_SEARCH_OPTION_TOP',
-      AzureAISearch.DEFAULT_TOP,
-    );
-    this.select = this._initializeField(
-      fields.AZURE_AI_SEARCH_SEARCH_OPTION_SELECT,
-      'AZURE_AI_SEARCH_SEARCH_OPTION_SELECT',
-    );
-
-    // Check for required fields
-    if (!this.override && (!this.serviceEndpoint || !this.indexName || !this.apiKey)) {
-      throw new Error(
-        'Missing AZURE_AI_SEARCH_SERVICE_ENDPOINT, AZURE_AI_SEARCH_INDEX_NAME, or AZURE_AI_SEARCH_API_KEY environment variable.',
-      );
-    }
-
-    if (this.override) {
-      return;
-    }
-
-    // Create SearchClient
-    this.client = new SearchClient(
-      this.serviceEndpoint,
-      this.indexName,
-      new AzureKeyCredential(this.apiKey),
-      { apiVersion: this.apiVersion },
-    );
-  }
-
-  // Improved error handling and logging
-  async _call(data) {
-    const { query } = data;
-    try {
-      const searchOption = {
-        queryType: this.queryType,
-        top: typeof this.top === 'string' ? Number(this.top) : this.top,
-      };
-      if (this.select) {
-        searchOption.select = this.select.split(',');
-      }
-      const searchResults = await this.client.search(query, searchOption);
-      const resultDocuments = [];
-      for await (const result of searchResults.results) {
-        resultDocuments.push(result.document);
-      }
-      return JSON.stringify(resultDocuments);
-    } catch (error) {
-      logger.error('Azure AI Search request failed', error);
-      return 'There was an error with Azure AI Search.';
-    }
-  }
-}
-
-module.exports = AzureAISearch;

api/app/clients/tools/structured/DALLE3.js

@@ -1,247 +0,0 @@
-const path = require('path');
-const OpenAI = require('openai');
-const { v4: uuidv4 } = require('uuid');
-const { ProxyAgent, fetch } = require('undici');
-const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { getImageBasename, extractBaseURL } = require('@librechat/api');
-const { FileContext, ContentTypes } = require('librechat-data-provider');
-
-const dalle3JsonSchema = {
-  type: 'object',
-  properties: {
-    prompt: {
-      type: 'string',
-      maxLength: 4000,
-      description:
-        'A text description of the desired image, following the rules, up to 4000 characters.',
-    },
-    style: {
-      type: 'string',
-      enum: ['vivid', 'natural'],
-      description:
-        'Must be one of `vivid` or `natural`. `vivid` generates hyper-real and dramatic images, `natural` produces more natural, less hyper-real looking images',
-    },
-    quality: {
-      type: 'string',
-      enum: ['hd', 'standard'],
-      description: 'The quality of the generated image. Only `hd` and `standard` are supported.',
-    },
-    size: {
-      type: 'string',
-      enum: ['1024x1024', '1792x1024', '1024x1792'],
-      description:
-        'The size of the requested image. Use 1024x1024 (square) as the default, 1792x1024 if the user requests a wide image, and 1024x1792 for full-body portraits. Always include this parameter in the request.',
-    },
-  },
-  required: ['prompt', 'style', 'quality', 'size'],
-};
-
-const displayMessage =
-  "DALL-E displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
-class DALLE3 extends Tool {
-  constructor(fields = {}) {
-    super();
-    /** @type {boolean} Used to initialize the Tool without necessary variables. */
-    this.override = fields.override ?? false;
-    /** @type {boolean} Necessary for output to contain all image metadata. */
-    this.returnMetadata = fields.returnMetadata ?? false;
-
-    this.userId = fields.userId;
-    this.fileStrategy = fields.fileStrategy;
-    /** @type {boolean} */
-    this.isAgent = fields.isAgent;
-    if (this.isAgent) {
-      /** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
-      this.responseFormat = 'content_and_artifact';
-    }
-    if (fields.processFileURL) {
-      /** @type {processFileURL} Necessary for output to contain all image metadata. */
-      this.processFileURL = fields.processFileURL.bind(this);
-    }
-
-    let apiKey = fields.DALLE3_API_KEY ?? fields.DALLE_API_KEY ?? this.getApiKey();
-    const config = { apiKey };
-    if (process.env.DALLE_REVERSE_PROXY) {
-      config.baseURL = extractBaseURL(process.env.DALLE_REVERSE_PROXY);
-    }
-
-    if (process.env.DALLE3_AZURE_API_VERSION && process.env.DALLE3_BASEURL) {
-      config.baseURL = process.env.DALLE3_BASEURL;
-      config.defaultQuery = { 'api-version': process.env.DALLE3_AZURE_API_VERSION };
-      config.defaultHeaders = {
-        'api-key': process.env.DALLE3_API_KEY,
-        'Content-Type': 'application/json',
-      };
-      config.apiKey = process.env.DALLE3_API_KEY;
-    }
-
-    if (process.env.PROXY) {
-      const proxyAgent = new ProxyAgent(process.env.PROXY);
-      config.fetchOptions = {
-        dispatcher: proxyAgent,
-      };
-    }
-
-    /** @type {OpenAI} */
-    this.openai = new OpenAI(config);
-    this.name = 'dalle';
-    this.description = `Use DALLE to create images from text descriptions.
-    - It requires prompts to be in English, detailed, and to specify image type and human features for diversity.
-    - Create only one image, without repeating or listing descriptions outside the "prompts" field.
-    - Maintains the original intent of the description, with parameters for image style, quality, and size to tailor the output.`;
-    this.description_for_model =
-      process.env.DALLE3_SYSTEM_PROMPT ??
-      `// Whenever a description of an image is given, generate prompts (following these rules), and use dalle to create the image. If the user does not ask for a specific number of images, default to creating 2 prompts to send to dalle that are written to be as diverse as possible. All prompts sent to dalle must abide by the following policies:
-    // 1. Prompts must be in English. Translate to English if needed.
-    // 2. One image per function call. Create only 1 image per request unless explicitly told to generate more than 1 image.
-    // 3. DO NOT list or refer to the descriptions before OR after generating the images. They should ONLY ever be written out ONCE, in the \`"prompts"\` field of the request. You do not need to ask for permission to generate, just do it!
-    // 4. Always mention the image type (photo, oil painting, watercolor painting, illustration, cartoon, drawing, vector, render, etc.) at the beginning of the caption. Unless the captions suggests otherwise, make one of the images a photo.
-    // 5. Diversify depictions of ALL images with people to always include always DESCENT and GENDER for EACH person using direct terms. Adjust only human descriptions.
-    // - EXPLICITLY specify these attributes, not abstractly reference them. The attributes should be specified in a minimal way and should directly describe their physical form.
-    // - Your choices should be grounded in reality. For example, all of a given OCCUPATION should not be the same gender or race. Additionally, focus on creating diverse, inclusive, and exploratory scenes via the properties you choose during rewrites.  Make choices that may be insightful or unique sometimes.
-    // - Use "various" or "diverse" ONLY IF the description refers to groups of more than 3 people. Do not change the number of people requested in the original description.
-    // - Don't alter memes, fictional character origins, or unseen people. Maintain the original prompt's intent and prioritize quality.
-    // The prompt must intricately describe every part of the image in concrete, objective detail. THINK about what the end goal of the description is, and extrapolate that to what would make satisfying images.
-    // All descriptions sent to dalle should be a paragraph of text that is extremely descriptive and detailed. Each should be more than 3 sentences long.
-    // - The "vivid" style is HIGHLY preferred, but "natural" is also supported.`;
-    this.schema = dalle3JsonSchema;
-  }
-
-  static get jsonSchema() {
-    return dalle3JsonSchema;
-  }
-
-  getApiKey() {
-    const apiKey = process.env.DALLE3_API_KEY ?? process.env.DALLE_API_KEY ?? '';
-    if (!apiKey && !this.override) {
-      throw new Error('Missing DALLE_API_KEY environment variable.');
-    }
-    return apiKey;
-  }
-
-  replaceUnwantedChars(inputString) {
-    return inputString
-      .replace(/\r\n|\r|\n/g, ' ')
-      .replace(/"/g, '')
-      .trim();
-  }
-
-  wrapInMarkdown(imageUrl) {
-    return `![generated image](${imageUrl})`;
-  }
-
-  returnValue(value) {
-    if (this.isAgent === true && typeof value === 'string') {
-      return [value, {}];
-    } else if (this.isAgent === true && typeof value === 'object') {
-      return [displayMessage, value];
-    }
-
-    return value;
-  }
-
-  async _call(data) {
-    const { prompt, quality = 'standard', size = '1024x1024', style = 'vivid' } = data;
-    if (!prompt) {
-      throw new Error('Missing required field: prompt');
-    }
-
-    let resp;
-    try {
-      resp = await this.openai.images.generate({
-        model: 'dall-e-3',
-        quality,
-        style,
-        size,
-        prompt: this.replaceUnwantedChars(prompt),
-        n: 1,
-      });
-    } catch (error) {
-      logger.error('[DALL-E-3] Problem generating the image:', error);
-      return this
-        .returnValue(`Something went wrong when trying to generate the image. The DALL-E API may be unavailable:
-Error Message: ${error.message}`);
-    }
-
-    if (!resp) {
-      return this.returnValue(
-        'Something went wrong when trying to generate the image. The DALL-E API may be unavailable',
-      );
-    }
-
-    const theImageUrl = resp.data[0].url;
-
-    if (!theImageUrl) {
-      return this.returnValue(
-        'No image URL returned from OpenAI API. There may be a problem with the API or your configuration.',
-      );
-    }
-
-    if (this.isAgent) {
-      let fetchOptions = {};
-      if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        fetchOptions.dispatcher = proxyAgent;
-      }
-      const imageResponse = await fetch(theImageUrl, fetchOptions);
-      const arrayBuffer = await imageResponse.arrayBuffer();
-      const base64 = Buffer.from(arrayBuffer).toString('base64');
-      const content = [
-        {
-          type: ContentTypes.IMAGE_URL,
-          image_url: {
-            url: `data:image/png;base64,${base64}`,
-          },
-        },
-      ];
-
-      const response = [
-        {
-          type: ContentTypes.TEXT,
-          text: displayMessage,
-        },
-      ];
-      return [response, { content }];
-    }
-
-    const imageBasename = getImageBasename(theImageUrl);
-    const imageExt = path.extname(imageBasename);
-
-    const extension = imageExt.startsWith('.') ? imageExt.slice(1) : imageExt;
-    const imageName = `img-${uuidv4()}.${extension}`;
-
-    logger.debug('[DALL-E-3]', {
-      imageName,
-      imageBasename,
-      imageExt,
-      extension,
-      theImageUrl,
-      data: resp.data[0],
-    });
-
-    try {
-      const result = await this.processFileURL({
-        URL: theImageUrl,
-        basePath: 'images',
-        userId: this.userId,
-        fileName: imageName,
-        fileStrategy: this.fileStrategy,
-        context: FileContext.image_generation,
-      });
-
-      if (this.returnMetadata) {
-        this.result = result;
-      } else {
-        this.result = this.wrapInMarkdown(result.filepath);
-      }
-    } catch (error) {
-      logger.error('Error while saving the image:', error);
-      this.result = `Failed to save the image locally. ${error.message}`;
-    }
-
-    return this.returnValue(this.result);
-  }
-}
-
-module.exports = DALLE3;

api/app/clients/tools/structured/FluxAPI.js

@@ -1,588 +0,0 @@
-const axios = require('axios');
-const fetch = require('node-fetch');
-const { v4: uuidv4 } = require('uuid');
-const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { HttpsProxyAgent } = require('https-proxy-agent');
-const { FileContext, ContentTypes } = require('librechat-data-provider');
-
-const fluxApiJsonSchema = {
-  type: 'object',
-  properties: {
-    action: {
-      type: 'string',
-      enum: ['generate', 'list_finetunes', 'generate_finetuned'],
-      description:
-        'Action to perform: "generate" for image generation, "generate_finetuned" for finetuned model generation, "list_finetunes" to get available custom models',
-    },
-    prompt: {
-      type: 'string',
-      description:
-        'Text prompt for image generation. Required when action is "generate". Not used for list_finetunes.',
-    },
-    width: {
-      type: 'number',
-      description:
-        'Width of the generated image in pixels. Must be a multiple of 32. Default is 1024.',
-    },
-    height: {
-      type: 'number',
-      description:
-        'Height of the generated image in pixels. Must be a multiple of 32. Default is 768.',
-    },
-    prompt_upsampling: {
-      type: 'boolean',
-      description: 'Whether to perform upsampling on the prompt.',
-    },
-    steps: {
-      type: 'integer',
-      description: 'Number of steps to run the model for, a number from 1 to 50. Default is 40.',
-    },
-    seed: {
-      type: 'number',
-      description: 'Optional seed for reproducibility.',
-    },
-    safety_tolerance: {
-      type: 'number',
-      description:
-        'Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.',
-    },
-    endpoint: {
-      type: 'string',
-      enum: [
-        '/v1/flux-pro-1.1',
-        '/v1/flux-pro',
-        '/v1/flux-dev',
-        '/v1/flux-pro-1.1-ultra',
-        '/v1/flux-pro-finetuned',
-        '/v1/flux-pro-1.1-ultra-finetuned',
-      ],
-      description: 'Endpoint to use for image generation.',
-    },
-    raw: {
-      type: 'boolean',
-      description:
-        'Generate less processed, more natural-looking images. Only works for /v1/flux-pro-1.1-ultra.',
-    },
-    finetune_id: {
-      type: 'string',
-      description: 'ID of the finetuned model to use',
-    },
-    finetune_strength: {
-      type: 'number',
-      description: 'Strength of the finetuning effect (typically between 0.1 and 1.2)',
-    },
-    guidance: {
-      type: 'number',
-      description: 'Guidance scale for finetuned models',
-    },
-    aspect_ratio: {
-      type: 'string',
-      description: 'Aspect ratio for ultra models (e.g., "16:9")',
-    },
-  },
-  required: [],
-};
-
-const displayMessage =
-  "Flux displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
-
-/**
- * FluxAPI - A tool for generating high-quality images from text prompts using the Flux API.
- * Each call generates one image. If multiple images are needed, make multiple consecutive calls with the same or varied prompts.
- */
-class FluxAPI extends Tool {
-  // Pricing constants in USD per image
-  static PRICING = {
-    FLUX_PRO_1_1_ULTRA: -0.06, // /v1/flux-pro-1.1-ultra
-    FLUX_PRO_1_1: -0.04, // /v1/flux-pro-1.1
-    FLUX_PRO: -0.05, // /v1/flux-pro
-    FLUX_DEV: -0.025, // /v1/flux-dev
-    FLUX_PRO_FINETUNED: -0.06, // /v1/flux-pro-finetuned
-    FLUX_PRO_1_1_ULTRA_FINETUNED: -0.07, // /v1/flux-pro-1.1-ultra-finetuned
-  };
-
-  constructor(fields = {}) {
-    super();
-
-    /** @type {boolean} Used to initialize the Tool without necessary variables. */
-    this.override = fields.override ?? false;
-
-    this.userId = fields.userId;
-    this.fileStrategy = fields.fileStrategy;
-
-    /** @type {boolean} **/
-    this.isAgent = fields.isAgent;
-    if (this.isAgent) {
-      /** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
-      this.responseFormat = 'content_and_artifact';
-    }
-    this.returnMetadata = fields.returnMetadata ?? false;
-
-    if (fields.processFileURL) {
-      /** @type {processFileURL} Necessary for output to contain all image metadata. */
-      this.processFileURL = fields.processFileURL.bind(this);
-    }
-
-    this.apiKey = fields.FLUX_API_KEY || this.getApiKey();
-
-    this.name = 'flux';
-    this.description =
-      'Use Flux to generate images from text descriptions. This tool can generate images and list available finetunes. Each generate call creates one image. For multiple images, make multiple consecutive calls.';
-
-    this.description_for_model = `// Transform any image description into a detailed, high-quality prompt. Never submit a prompt under 3 sentences. Follow these core rules:
-    // 1. ALWAYS enhance basic prompts into 5-10 detailed sentences (e.g., "a cat" becomes: "A close-up photo of a sleek Siamese cat with piercing blue eyes. The cat sits elegantly on a vintage leather armchair, its tail curled gracefully around its paws. Warm afternoon sunlight streams through a nearby window, casting gentle shadows across its face and highlighting the subtle variations in its cream and chocolate-point fur. The background is softly blurred, creating a shallow depth of field that draws attention to the cat's expressive features. The overall composition has a peaceful, contemplative mood with a professional photography style.")
-    // 2. Each prompt MUST be 3-6 descriptive sentences minimum, focusing on visual elements: lighting, composition, mood, and style
-    // Use action: 'list_finetunes' to see available custom models. When using finetunes, use endpoint: '/v1/flux-pro-finetuned' (default) or '/v1/flux-pro-1.1-ultra-finetuned' for higher quality and aspect ratio.`;
-
-    // Add base URL from environment variable with fallback
-    this.baseUrl = process.env.FLUX_API_BASE_URL || 'https://api.us1.bfl.ai';
-
-    this.schema = fluxApiJsonSchema;
-  }
-
-  static get jsonSchema() {
-    return fluxApiJsonSchema;
-  }
-
-  getAxiosConfig() {
-    const config = {};
-    if (process.env.PROXY) {
-      config.httpsAgent = new HttpsProxyAgent(process.env.PROXY);
-    }
-    return config;
-  }
-
-  /** @param {Object|string} value */
-  getDetails(value) {
-    if (typeof value === 'string') {
-      return value;
-    }
-    return JSON.stringify(value, null, 2);
-  }
-
-  getApiKey() {
-    const apiKey = process.env.FLUX_API_KEY || '';
-    if (!apiKey && !this.override) {
-      throw new Error('Missing FLUX_API_KEY environment variable.');
-    }
-    return apiKey;
-  }
-
-  wrapInMarkdown(imageUrl) {
-    const serverDomain = process.env.DOMAIN_SERVER || 'http://localhost:3080';
-    return `![generated image](${serverDomain}${imageUrl})`;
-  }
-
-  returnValue(value) {
-    if (this.isAgent === true && typeof value === 'string') {
-      return [value, {}];
-    } else if (this.isAgent === true && typeof value === 'object') {
-      if (Array.isArray(value)) {
-        return value;
-      }
-      return [displayMessage, value];
-    }
-    return value;
-  }
-
-  async _call(data) {
-    const { action = 'generate', ...imageData } = data;
-
-    // Use provided API key for this request if available, otherwise use default
-    const requestApiKey = this.apiKey || this.getApiKey();
-
-    // Handle list_finetunes action
-    if (action === 'list_finetunes') {
-      return this.getMyFinetunes(requestApiKey);
-    }
-
-    // Handle finetuned generation
-    if (action === 'generate_finetuned') {
-      return this.generateFinetunedImage(imageData, requestApiKey);
-    }
-
-    // For generate action, ensure prompt is provided
-    if (!imageData.prompt) {
-      throw new Error('Missing required field: prompt');
-    }
-
-    let payload = {
-      prompt: imageData.prompt,
-      prompt_upsampling: imageData.prompt_upsampling || false,
-      safety_tolerance: imageData.safety_tolerance || 6,
-      output_format: imageData.output_format || 'png',
-    };
-
-    // Add optional parameters if provided
-    if (imageData.width) {
-      payload.width = imageData.width;
-    }
-    if (imageData.height) {
-      payload.height = imageData.height;
-    }
-    if (imageData.steps) {
-      payload.steps = imageData.steps;
-    }
-    if (imageData.seed !== undefined) {
-      payload.seed = imageData.seed;
-    }
-    if (imageData.raw) {
-      payload.raw = imageData.raw;
-    }
-
-    const generateUrl = `${this.baseUrl}${imageData.endpoint || '/v1/flux-pro'}`;
-    const resultUrl = `${this.baseUrl}/v1/get_result`;
-
-    logger.debug('[FluxAPI] Generating image with payload:', payload);
-    logger.debug('[FluxAPI] Using endpoint:', generateUrl);
-
-    let taskResponse;
-    try {
-      taskResponse = await axios.post(generateUrl, payload, {
-        headers: {
-          'x-key': requestApiKey,
-          'Content-Type': 'application/json',
-          Accept: 'application/json',
-        },
-        ...this.getAxiosConfig(),
-      });
-    } catch (error) {
-      const details = this.getDetails(error?.response?.data || error.message);
-      logger.error('[FluxAPI] Error while submitting task:', details);
-
-      return this.returnValue(
-        `Something went wrong when trying to generate the image. The Flux API may be unavailable:
-        Error Message: ${details}`,
-      );
-    }
-
-    const taskId = taskResponse.data.id;
-
-    // Polling for the result
-    let status = 'Pending';
-    let resultData = null;
-    while (status !== 'Ready' && status !== 'Error') {
-      try {
-        // Wait 2 seconds between polls
-        await new Promise((resolve) => setTimeout(resolve, 2000));
-        const resultResponse = await axios.get(resultUrl, {
-          headers: {
-            'x-key': requestApiKey,
-            Accept: 'application/json',
-          },
-          params: { id: taskId },
-          ...this.getAxiosConfig(),
-        });
-        status = resultResponse.data.status;
-
-        if (status === 'Ready') {
-          resultData = resultResponse.data.result;
-          break;
-        } else if (status === 'Error') {
-          logger.error('[FluxAPI] Error in task:', resultResponse.data);
-          return this.returnValue('An error occurred during image generation.');
-        }
-      } catch (error) {
-        const details = this.getDetails(error?.response?.data || error.message);
-        logger.error('[FluxAPI] Error while getting result:', details);
-        return this.returnValue('An error occurred while retrieving the image.');
-      }
-    }
-
-    // If no result data
-    if (!resultData || !resultData.sample) {
-      logger.error('[FluxAPI] No image data received from API. Response:', resultData);
-      return this.returnValue('No image data received from Flux API.');
-    }
-
-    // Try saving the image locally
-    const imageUrl = resultData.sample;
-    const imageName = `img-${uuidv4()}.png`;
-
-    if (this.isAgent) {
-      try {
-        // Fetch the image and convert to base64
-        const fetchOptions = {};
-        if (process.env.PROXY) {
-          fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
-        }
-        const imageResponse = await fetch(imageUrl, fetchOptions);
-        const arrayBuffer = await imageResponse.arrayBuffer();
-        const base64 = Buffer.from(arrayBuffer).toString('base64');
-        const content = [
-          {
-            type: ContentTypes.IMAGE_URL,
-            image_url: {
-              url: `data:image/png;base64,${base64}`,
-            },
-          },
-        ];
-
-        const response = [
-          {
-            type: ContentTypes.TEXT,
-            text: displayMessage,
-          },
-        ];
-        return [response, { content }];
-      } catch (error) {
-        logger.error('Error processing image for agent:', error);
-        return this.returnValue(`Failed to process the image. ${error.message}`);
-      }
-    }
-
-    try {
-      logger.debug('[FluxAPI] Saving image:', imageUrl);
-      const result = await this.processFileURL({
-        fileStrategy: this.fileStrategy,
-        userId: this.userId,
-        URL: imageUrl,
-        fileName: imageName,
-        basePath: 'images',
-        context: FileContext.image_generation,
-      });
-
-      logger.debug('[FluxAPI] Image saved to path:', result.filepath);
-
-      // Calculate cost based on endpoint
-      /**
-       * TODO: Cost handling
-      const endpoint = imageData.endpoint || '/v1/flux-pro';
-      const endpointKey = Object.entries(FluxAPI.PRICING).find(([key, _]) =>
-        endpoint.includes(key.toLowerCase().replace(/_/g, '-')),
-      )?.[0];
-      const cost = FluxAPI.PRICING[endpointKey] || 0;
-       */
-      this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
-      return this.returnValue(this.result);
-    } catch (error) {
-      const details = this.getDetails(error?.message ?? 'No additional error details.');
-      logger.error('Error while saving the image:', details);
-      return this.returnValue(`Failed to save the image locally. ${details}`);
-    }
-  }
-
-  async getMyFinetunes(apiKey = null) {
-    const finetunesUrl = `${this.baseUrl}/v1/my_finetunes`;
-    const detailsUrl = `${this.baseUrl}/v1/finetune_details`;
-
-    try {
-      const headers = {
-        'x-key': apiKey || this.getApiKey(),
-        'Content-Type': 'application/json',
-        Accept: 'application/json',
-      };
-
-      // Get list of finetunes
-      const response = await axios.get(finetunesUrl, {
-        headers,
-        ...this.getAxiosConfig(),
-      });
-      const finetunes = response.data.finetunes;
-
-      // Fetch details for each finetune
-      const finetuneDetails = await Promise.all(
-        finetunes.map(async (finetuneId) => {
-          try {
-            const detailResponse = await axios.get(`${detailsUrl}?finetune_id=${finetuneId}`, {
-              headers,
-              ...this.getAxiosConfig(),
-            });
-            return {
-              id: finetuneId,
-              ...detailResponse.data,
-            };
-          } catch (error) {
-            logger.error(`[FluxAPI] Error fetching details for finetune ${finetuneId}:`, error);
-            return {
-              id: finetuneId,
-              error: 'Failed to fetch details',
-            };
-          }
-        }),
-      );
-
-      if (this.isAgent) {
-        const formattedDetails = JSON.stringify(finetuneDetails, null, 2);
-        return [`Here are the available finetunes:\n${formattedDetails}`, null];
-      }
-      return JSON.stringify(finetuneDetails);
-    } catch (error) {
-      const details = this.getDetails(error?.response?.data || error.message);
-      logger.error('[FluxAPI] Error while getting finetunes:', details);
-      const errorMsg = `Failed to get finetunes: ${details}`;
-      return this.isAgent ? this.returnValue([errorMsg, {}]) : new Error(errorMsg);
-    }
-  }
-
-  async generateFinetunedImage(imageData, requestApiKey) {
-    if (!imageData.prompt) {
-      throw new Error('Missing required field: prompt');
-    }
-
-    if (!imageData.finetune_id) {
-      throw new Error(
-        'Missing required field: finetune_id for finetuned generation. Please supply a finetune_id!',
-      );
-    }
-
-    // Validate endpoint is appropriate for finetuned generation
-    const validFinetunedEndpoints = ['/v1/flux-pro-finetuned', '/v1/flux-pro-1.1-ultra-finetuned'];
-    const endpoint = imageData.endpoint || '/v1/flux-pro-finetuned';
-
-    if (!validFinetunedEndpoints.includes(endpoint)) {
-      throw new Error(
-        `Invalid endpoint for finetuned generation. Must be one of: ${validFinetunedEndpoints.join(', ')}`,
-      );
-    }
-
-    let payload = {
-      prompt: imageData.prompt,
-      prompt_upsampling: imageData.prompt_upsampling || false,
-      safety_tolerance: imageData.safety_tolerance || 6,
-      output_format: imageData.output_format || 'png',
-      finetune_id: imageData.finetune_id,
-      finetune_strength: imageData.finetune_strength || 1.0,
-      guidance: imageData.guidance || 2.5,
-    };
-
-    // Add optional parameters if provided
-    if (imageData.width) {
-      payload.width = imageData.width;
-    }
-    if (imageData.height) {
-      payload.height = imageData.height;
-    }
-    if (imageData.steps) {
-      payload.steps = imageData.steps;
-    }
-    if (imageData.seed !== undefined) {
-      payload.seed = imageData.seed;
-    }
-    if (imageData.raw) {
-      payload.raw = imageData.raw;
-    }
-
-    const generateUrl = `${this.baseUrl}${endpoint}`;
-    const resultUrl = `${this.baseUrl}/v1/get_result`;
-
-    logger.debug('[FluxAPI] Generating finetuned image with payload:', payload);
-    logger.debug('[FluxAPI] Using endpoint:', generateUrl);
-
-    let taskResponse;
-    try {
-      taskResponse = await axios.post(generateUrl, payload, {
-        headers: {
-          'x-key': requestApiKey,
-          'Content-Type': 'application/json',
-          Accept: 'application/json',
-        },
-        ...this.getAxiosConfig(),
-      });
-    } catch (error) {
-      const details = this.getDetails(error?.response?.data || error.message);
-      logger.error('[FluxAPI] Error while submitting finetuned task:', details);
-      return this.returnValue(
-        `Something went wrong when trying to generate the finetuned image. The Flux API may be unavailable:
-        Error Message: ${details}`,
-      );
-    }
-
-    const taskId = taskResponse.data.id;
-
-    // Polling for the result
-    let status = 'Pending';
-    let resultData = null;
-    while (status !== 'Ready' && status !== 'Error') {
-      try {
-        // Wait 2 seconds between polls
-        await new Promise((resolve) => setTimeout(resolve, 2000));
-        const resultResponse = await axios.get(resultUrl, {
-          headers: {
-            'x-key': requestApiKey,
-            Accept: 'application/json',
-          },
-          params: { id: taskId },
-          ...this.getAxiosConfig(),
-        });
-        status = resultResponse.data.status;
-
-        if (status === 'Ready') {
-          resultData = resultResponse.data.result;
-          break;
-        } else if (status === 'Error') {
-          logger.error('[FluxAPI] Error in finetuned task:', resultResponse.data);
-          return this.returnValue('An error occurred during finetuned image generation.');
-        }
-      } catch (error) {
-        const details = this.getDetails(error?.response?.data || error.message);
-        logger.error('[FluxAPI] Error while getting finetuned result:', details);
-        return this.returnValue('An error occurred while retrieving the finetuned image.');
-      }
-    }
-
-    // If no result data
-    if (!resultData || !resultData.sample) {
-      logger.error('[FluxAPI] No image data received from API. Response:', resultData);
-      return this.returnValue('No image data received from Flux API.');
-    }
-
-    const imageUrl = resultData.sample;
-    const imageName = `img-${uuidv4()}.png`;
-
-    if (this.isAgent) {
-      try {
-        const fetchOptions = {};
-        if (process.env.PROXY) {
-          fetchOptions.agent = new HttpsProxyAgent(process.env.PROXY);
-        }
-        const imageResponse = await fetch(imageUrl, fetchOptions);
-        const arrayBuffer = await imageResponse.arrayBuffer();
-        const base64 = Buffer.from(arrayBuffer).toString('base64');
-        const content = [
-          {
-            type: ContentTypes.IMAGE_URL,
-            image_url: {
-              url: `data:image/png;base64,${base64}`,
-            },
-          },
-        ];
-
-        const response = [
-          {
-            type: ContentTypes.TEXT,
-            text: displayMessage,
-          },
-        ];
-        return [response, { content }];
-      } catch (error) {
-        logger.error('[FluxAPI] Error processing finetuned image for agent:', error);
-        return this.returnValue(`Failed to process the finetuned image. ${error.message}`);
-      }
-    }
-
-    try {
-      logger.debug('[FluxAPI] Saving finetuned image:', imageUrl);
-      const result = await this.processFileURL({
-        fileStrategy: this.fileStrategy,
-        userId: this.userId,
-        URL: imageUrl,
-        fileName: imageName,
-        basePath: 'images',
-        context: FileContext.image_generation,
-      });
-
-      logger.debug('[FluxAPI] Finetuned image saved to path:', result.filepath);
-
-      this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
-      return this.returnValue(this.result);
-    } catch (error) {
-      const details = this.getDetails(error?.message ?? 'No additional error details.');
-      logger.error('Error while saving the finetuned image:', details);
-      return this.returnValue(`Failed to save the finetuned image locally. ${details}`);
-    }
-  }
-}
-
-module.exports = FluxAPI;

api/app/clients/tools/structured/GeminiImageGen.js

@@ -1,476 +0,0 @@
-const path = require('path');
-const sharp = require('sharp');
-const { v4 } = require('uuid');
-const { ProxyAgent } = require('undici');
-const { GoogleGenAI } = require('@google/genai');
-const { tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
-const {
-  geminiToolkit,
-  loadServiceKey,
-  getBalanceConfig,
-  getTransactionsConfig,
-} = require('@librechat/api');
-const { getStrategyFunctions } = require('~/server/services/Files/strategies');
-const { spendTokens, getFiles } = require('~/models');
-
-/**
- * Configure proxy support for Google APIs
- * This wraps globalThis.fetch to add a proxy dispatcher only for googleapis.com URLs
- * This is necessary because @google/genai SDK doesn't support custom fetch or httpOptions.dispatcher
- */
-if (process.env.PROXY) {
-  const originalFetch = globalThis.fetch;
-  const proxyAgent = new ProxyAgent(process.env.PROXY);
-
-  globalThis.fetch = function (url, options = {}) {
-    const urlString = url.toString();
-    if (urlString.includes('googleapis.com')) {
-      options = { ...options, dispatcher: proxyAgent };
-    }
-    return originalFetch.call(this, url, options);
-  };
-}
-
-/**
- * Get the default service key file path (consistent with main Google endpoint)
- * @returns {string} - The default path to the service key file
- */
-function getDefaultServiceKeyPath() {
-  return (
-    process.env.GOOGLE_SERVICE_KEY_FILE || path.join(process.cwd(), 'api', 'data', 'auth.json')
-  );
-}
-
-const displayMessage =
-  "Gemini displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
-
-/**
- * Replaces unwanted characters from the input string
- * @param {string} inputString - The input string to process
- * @returns {string} - The processed string
- */
-function replaceUnwantedChars(inputString) {
-  return (
-    inputString
-      ?.replace(/\r\n|\r|\n/g, ' ')
-      .replace(/"/g, '')
-      .trim() || ''
-  );
-}
-
-/**
- * Convert image buffer to target format if needed
- * @param {Buffer} inputBuffer - The input image buffer
- * @param {string} targetFormat - The target format (png, jpeg, webp)
- * @returns {Promise<{buffer: Buffer, format: string}>} - Converted buffer and format
- */
-async function convertImageFormat(inputBuffer, targetFormat) {
-  const metadata = await sharp(inputBuffer).metadata();
-  const currentFormat = metadata.format;
-
-  // Normalize format names (jpg -> jpeg)
-  const normalizedTarget = targetFormat === 'jpg' ? 'jpeg' : targetFormat.toLowerCase();
-  const normalizedCurrent = currentFormat === 'jpg' ? 'jpeg' : currentFormat;
-
-  // If already in target format, return as-is
-  if (normalizedCurrent === normalizedTarget) {
-    return { buffer: inputBuffer, format: normalizedTarget };
-  }
-
-  // Convert to target format
-  const convertedBuffer = await sharp(inputBuffer).toFormat(normalizedTarget).toBuffer();
-  return { buffer: convertedBuffer, format: normalizedTarget };
-}
-
-/**
- * Initialize Gemini client (supports both Gemini API and Vertex AI)
- * Priority: API key (from options, resolved by loadAuthValues) > Vertex AI service account
- * @param {Object} options - Initialization options
- * @param {string} [options.GEMINI_API_KEY] - Gemini API key (resolved by loadAuthValues)
- * @param {string} [options.GOOGLE_KEY] - Google API key (resolved by loadAuthValues)
- * @returns {Promise<GoogleGenAI>} - The initialized client
- */
-async function initializeGeminiClient(options = {}) {
-  const geminiKey = options.GEMINI_API_KEY;
-  if (geminiKey) {
-    logger.debug('[GeminiImageGen] Using Gemini API with GEMINI_API_KEY');
-    return new GoogleGenAI({ apiKey: geminiKey });
-  }
-
-  const googleKey = options.GOOGLE_KEY;
-  if (googleKey) {
-    logger.debug('[GeminiImageGen] Using Gemini API with GOOGLE_KEY');
-    return new GoogleGenAI({ apiKey: googleKey });
-  }
-
-  logger.debug('[GeminiImageGen] Using Vertex AI with service account');
-  const credentialsPath = getDefaultServiceKeyPath();
-  const serviceKey = await loadServiceKey(credentialsPath);
-
-  if (!serviceKey || !serviceKey.project_id) {
-    throw new Error(
-      'Gemini Image Generation requires one of: user-provided API key, GEMINI_API_KEY or GOOGLE_KEY env var, or a valid Google service account. ' +
-        `Service account file not found or invalid at: ${credentialsPath}`,
-    );
-  }
-
-  return new GoogleGenAI({
-    vertexai: true,
-    project: serviceKey.project_id,
-    location: process.env.GOOGLE_LOC || process.env.GOOGLE_CLOUD_LOCATION || 'global',
-    googleAuthOptions: { credentials: serviceKey },
-  });
-}
-
-/**
- * Convert image files to Gemini inline data format
- * @param {Object} params - Parameters
- * @returns {Promise<Array>} - Array of inline data objects
- */
-async function convertImagesToInlineData({ imageFiles, image_ids, req, fileStrategy }) {
-  if (!image_ids || image_ids.length === 0) {
-    return [];
-  }
-
-  const streamMethods = {};
-  const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));
-  const orderedFiles = new Array(image_ids.length);
-  const idsToFetch = [];
-  const indexOfMissing = Object.create(null);
-
-  for (let i = 0; i < image_ids.length; i++) {
-    const id = image_ids[i];
-    const file = requestFilesMap[id];
-    if (file) {
-      orderedFiles[i] = file;
-    } else {
-      idsToFetch.push(id);
-      indexOfMissing[id] = i;
-    }
-  }
-
-  if (idsToFetch.length && req?.user?.id) {
-    const fetchedFiles = await getFiles(
-      {
-        user: req.user.id,
-        file_id: { $in: idsToFetch },
-        height: { $exists: true },
-        width: { $exists: true },
-      },
-      {},
-      {},
-    );
-
-    for (const file of fetchedFiles) {
-      requestFilesMap[file.file_id] = file;
-      orderedFiles[indexOfMissing[file.file_id]] = file;
-    }
-  }
-
-  const inlineDataArray = [];
-  for (const imageFile of orderedFiles) {
-    if (!imageFile) continue;
-
-    try {
-      const source = imageFile.source || fileStrategy;
-      if (!source) continue;
-
-      let getDownloadStream = streamMethods[source];
-      if (!getDownloadStream) {
-        ({ getDownloadStream } = getStrategyFunctions(source));
-        streamMethods[source] = getDownloadStream;
-      }
-      if (!getDownloadStream) continue;
-
-      const stream = await getDownloadStream(req, imageFile.filepath);
-      if (!stream) continue;
-
-      const chunks = [];
-      for await (const chunk of stream) {
-        chunks.push(chunk);
-      }
-      const buffer = Buffer.concat(chunks);
-      const base64Data = buffer.toString('base64');
-      const mimeType = imageFile.type || 'image/png';
-
-      inlineDataArray.push({
-        inlineData: { mimeType, data: base64Data },
-      });
-    } catch (error) {
-      logger.error('[GeminiImageGen] Error processing image:', imageFile.file_id, error);
-    }
-  }
-
-  return inlineDataArray;
-}
-
-/**
- * Check for safety blocks in API response
- * @param {Object} response - The API response
- * @returns {Object|null} - Safety block info or null
- */
-function checkForSafetyBlock(response) {
-  if (!response?.candidates?.length) {
-    return { reason: 'NO_CANDIDATES', message: 'No candidates returned' };
-  }
-
-  const candidate = response.candidates[0];
-  const finishReason = candidate.finishReason;
-
-  if (finishReason === 'SAFETY' || finishReason === 'PROHIBITED_CONTENT') {
-    return { reason: finishReason, message: 'Content blocked by safety filters' };
-  }
-
-  if (finishReason === 'RECITATION') {
-    return { reason: finishReason, message: 'Content blocked due to recitation concerns' };
-  }
-
-  if (candidate.safetyRatings) {
-    for (const rating of candidate.safetyRatings) {
-      if (rating.probability === 'HIGH' || rating.blocked === true) {
-        return {
-          reason: 'SAFETY_RATING',
-          message: `Blocked due to ${rating.category}`,
-          category: rating.category,
-        };
-      }
-    }
-  }
-
-  return null;
-}
-
-/**
- * Record token usage for balance tracking
- * @param {Object} params - Parameters
- * @param {Object} params.usageMetadata - The usage metadata from API response
- * @param {Object} params.req - The request object
- * @param {string} params.userId - The user ID
- * @param {string} params.conversationId - The conversation ID
- * @param {string} params.model - The model name
- * @param {string} [params.messageId] - The response message ID for transaction correlation
- */
-async function recordTokenUsage({ usageMetadata, req, userId, conversationId, model, messageId }) {
-  if (!usageMetadata) {
-    logger.debug('[GeminiImageGen] No usage metadata available for balance tracking');
-    return;
-  }
-
-  const appConfig = req?.config;
-  const balance = getBalanceConfig(appConfig);
-  const transactions = getTransactionsConfig(appConfig);
-
-  // Skip if neither balance nor transactions are enabled
-  if (!balance?.enabled && transactions?.enabled === false) {
-    return;
-  }
-
-  const promptTokens = usageMetadata.prompt_token_count || usageMetadata.promptTokenCount || 0;
-  const completionTokens =
-    usageMetadata.candidates_token_count || usageMetadata.candidatesTokenCount || 0;
-
-  if (promptTokens === 0 && completionTokens === 0) {
-    logger.debug('[GeminiImageGen] No tokens to record');
-    return;
-  }
-
-  logger.debug('[GeminiImageGen] Recording token usage:', {
-    promptTokens,
-    completionTokens,
-    model,
-    conversationId,
-  });
-
-  try {
-    await spendTokens(
-      {
-        user: userId,
-        model,
-        messageId,
-        conversationId,
-        context: 'image_generation',
-        balance,
-        transactions,
-      },
-      {
-        promptTokens,
-        completionTokens,
-      },
-    );
-  } catch (error) {
-    logger.error('[GeminiImageGen] Error recording token usage:', error);
-  }
-}
-
-/**
- * Creates Gemini Image Generation tool
- * @param {Object} fields - Configuration fields
- * @returns {ReturnType<tool>} - The image generation tool
- */
-function createGeminiImageTool(fields = {}) {
-  const override = fields.override ?? false;
-
-  if (!override && !fields.isAgent) {
-    throw new Error('This tool is only available for agents.');
-  }
-
-  const { req, imageFiles = [], userId, fileStrategy, GEMINI_API_KEY, GOOGLE_KEY } = fields;
-
-  const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
-
-  const geminiImageGenTool = tool(
-    async ({ prompt, image_ids, aspectRatio, imageSize }, runnableConfig) => {
-      if (!prompt) {
-        throw new Error('Missing required field: prompt');
-      }
-
-      logger.debug('[GeminiImageGen] Generating image', { aspectRatio, imageSize });
-
-      let ai;
-      try {
-        ai = await initializeGeminiClient({
-          GEMINI_API_KEY,
-          GOOGLE_KEY,
-        });
-      } catch (error) {
-        logger.error('[GeminiImageGen] Failed to initialize client:', error);
-        return [
-          [{ type: ContentTypes.TEXT, text: `Failed to initialize Gemini: ${error.message}` }],
-          { content: [], file_ids: [] },
-        ];
-      }
-
-      const contents = [{ text: replaceUnwantedChars(prompt) }];
-
-      if (image_ids?.length > 0) {
-        const contextImages = await convertImagesToInlineData({
-          imageFiles,
-          image_ids,
-          req,
-          fileStrategy,
-        });
-        contents.push(...contextImages);
-        logger.debug('[GeminiImageGen] Added', contextImages.length, 'context images');
-      }
-
-      let apiResponse;
-      const geminiModel = process.env.GEMINI_IMAGE_MODEL || 'gemini-2.5-flash-image';
-      const config = {
-        responseModalities: ['TEXT', 'IMAGE'],
-      };
-
-      const supportsImageSize = !geminiModel.includes('gemini-2.5-flash-image');
-      if (aspectRatio || (imageSize && supportsImageSize)) {
-        config.imageConfig = {};
-        if (aspectRatio) {
-          config.imageConfig.aspectRatio = aspectRatio;
-        }
-        if (imageSize && supportsImageSize) {
-          config.imageConfig.imageSize = imageSize;
-        }
-      }
-
-      let derivedSignal = null;
-      let abortHandler = null;
-
-      if (runnableConfig?.signal) {
-        derivedSignal = AbortSignal.any([runnableConfig.signal]);
-        abortHandler = () => logger.debug('[GeminiImageGen] Image generation aborted');
-        derivedSignal.addEventListener('abort', abortHandler, { once: true });
-        config.abortSignal = derivedSignal;
-      }
-
-      try {
-        apiResponse = await ai.models.generateContent({
-          model: geminiModel,
-          contents,
-          config,
-        });
-      } catch (error) {
-        logger.error('[GeminiImageGen] API error:', error);
-        return [
-          [{ type: ContentTypes.TEXT, text: `Image generation failed: ${error.message}` }],
-          { content: [], file_ids: [] },
-        ];
-      } finally {
-        if (abortHandler && derivedSignal) {
-          derivedSignal.removeEventListener('abort', abortHandler);
-        }
-      }
-
-      const safetyBlock = checkForSafetyBlock(apiResponse);
-      if (safetyBlock) {
-        logger.warn('[GeminiImageGen] Safety block:', safetyBlock);
-        const errorMsg = 'Image blocked by content safety filters. Please try different content.';
-        return [[{ type: ContentTypes.TEXT, text: errorMsg }], { content: [], file_ids: [] }];
-      }
-
-      const rawImageData = apiResponse.candidates?.[0]?.content?.parts?.find((p) => p.inlineData)
-        ?.inlineData?.data;
-
-      if (!rawImageData) {
-        logger.warn('[GeminiImageGen] No image data in response');
-        return [
-          [{ type: ContentTypes.TEXT, text: 'No image was generated. Please try again.' }],
-          { content: [], file_ids: [] },
-        ];
-      }
-
-      const rawBuffer = Buffer.from(rawImageData, 'base64');
-      const { buffer: convertedBuffer, format: outputFormat } = await convertImageFormat(
-        rawBuffer,
-        imageOutputType,
-      );
-      const imageData = convertedBuffer.toString('base64');
-      const mimeType = outputFormat === 'jpeg' ? 'image/jpeg' : `image/${outputFormat}`;
-
-      const dataUrl = `data:${mimeType};base64,${imageData}`;
-      const file_ids = [v4()];
-      const content = [
-        {
-          type: ContentTypes.IMAGE_URL,
-          image_url: { url: dataUrl },
-        },
-      ];
-
-      const textResponse = [
-        {
-          type: ContentTypes.TEXT,
-          text:
-            displayMessage +
-            `\n\ngenerated_image_id: "${file_ids[0]}"` +
-            (image_ids?.length > 0 ? `\nreferenced_image_ids: ["${image_ids.join('", "')}"]` : ''),
-        },
-      ];
-
-      const conversationId = runnableConfig?.configurable?.thread_id;
-      const messageId =
-        runnableConfig?.configurable?.run_id ??
-        runnableConfig?.configurable?.requestBody?.messageId;
-      recordTokenUsage({
-        usageMetadata: apiResponse.usageMetadata,
-        req,
-        userId,
-        messageId,
-        conversationId,
-        model: geminiModel,
-      }).catch((error) => {
-        logger.error('[GeminiImageGen] Failed to record token usage:', error);
-      });
-
-      return [textResponse, { content, file_ids }];
-    },
-    {
-      ...geminiToolkit.gemini_image_gen,
-      responseFormat: 'content_and_artifact',
-    },
-  );
-
-  return geminiImageGenTool;
-}
-
-// Export both for compatibility
-module.exports = createGeminiImageTool;
-module.exports.createGeminiImageTool = createGeminiImageTool;

api/app/clients/tools/structured/GoogleSearch.js

@@ -1,79 +0,0 @@
-const { Tool } = require('@langchain/core/tools');
-const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-
-const googleSearchJsonSchema = {
-  type: 'object',
-  properties: {
-    query: {
-      type: 'string',
-      minLength: 1,
-      description: 'The search query string.',
-    },
-    max_results: {
-      type: 'integer',
-      minimum: 1,
-      maximum: 10,
-      description: 'The maximum number of search results to return. Defaults to 5.',
-    },
-  },
-  required: ['query'],
-};
-
-class GoogleSearchResults extends Tool {
-  static lc_name() {
-    return 'google';
-  }
-
-  static get jsonSchema() {
-    return googleSearchJsonSchema;
-  }
-
-  constructor(fields = {}) {
-    super(fields);
-    this.name = 'google';
-    this.envVarApiKey = 'GOOGLE_SEARCH_API_KEY';
-    this.envVarSearchEngineId = 'GOOGLE_CSE_ID';
-    this.override = fields.override ?? false;
-    this.apiKey = fields[this.envVarApiKey] ?? getEnvironmentVariable(this.envVarApiKey);
-    this.searchEngineId =
-      fields[this.envVarSearchEngineId] ?? getEnvironmentVariable(this.envVarSearchEngineId);
-
-    if (!this.override && (!this.apiKey || !this.searchEngineId)) {
-      throw new Error(
-        `Missing ${this.envVarApiKey} or ${this.envVarSearchEngineId} environment variable.`,
-      );
-    }
-
-    this.kwargs = fields?.kwargs ?? {};
-    this.name = 'google';
-    this.description =
-      'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.';
-
-    this.schema = googleSearchJsonSchema;
-  }
-
-  async _call(input) {
-    const { query, max_results = 5 } = input;
-
-    const response = await fetch(
-      `https://www.googleapis.com/customsearch/v1?key=${this.apiKey}&cx=${
-        this.searchEngineId
-      }&q=${encodeURIComponent(query)}&num=${max_results}`,
-      {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      },
-    );
-
-    const json = await response.json();
-    if (!response.ok) {
-      throw new Error(`Request failed with status ${response.status}: ${json.error.message}`);
-    }
-
-    return JSON.stringify(json);
-  }
-}
-
-module.exports = GoogleSearchResults;

api/app/clients/tools/structured/OpenAIImageTools.js

@@ -1,413 +0,0 @@
-const axios = require('axios');
-const { v4 } = require('uuid');
-const OpenAI = require('openai');
-const FormData = require('form-data');
-const { ProxyAgent } = require('undici');
-const { tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { HttpsProxyAgent } = require('https-proxy-agent');
-const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
-const { logAxiosError, oaiToolkit, extractBaseURL } = require('@librechat/api');
-const { getStrategyFunctions } = require('~/server/services/Files/strategies');
-const { getFiles } = require('~/models');
-
-const displayMessage =
-  "The tool displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
-
-/**
- * Replaces unwanted characters from the input string
- * @param {string} inputString - The input string to process
- * @returns {string} - The processed string
- */
-function replaceUnwantedChars(inputString) {
-  return inputString
-    .replace(/\r\n|\r|\n/g, ' ')
-    .replace(/"/g, '')
-    .trim();
-}
-
-function returnValue(value) {
-  if (typeof value === 'string') {
-    return [value, {}];
-  } else if (typeof value === 'object') {
-    if (Array.isArray(value)) {
-      return value;
-    }
-    return [displayMessage, value];
-  }
-  return value;
-}
-
-function createAbortHandler() {
-  return function () {
-    logger.debug('[ImageGenOAI] Image generation aborted');
-  };
-}
-
-/**
- * Creates OpenAI Image tools (generation and editing)
- * @param {Object} fields - Configuration fields
- * @param {ServerRequest} fields.req - Whether the tool is being used in an agent context
- * @param {boolean} fields.isAgent - Whether the tool is being used in an agent context
- * @param {string} fields.IMAGE_GEN_OAI_API_KEY - The OpenAI API key
- * @param {boolean} [fields.override] - Whether to override the API key check, necessary for app initialization
- * @param {MongoFile[]} [fields.imageFiles] - The images to be used for editing
- * @param {string} [fields.imageOutputType] - The image output type configuration
- * @param {string} [fields.fileStrategy] - The file storage strategy
- * @returns {Array<ReturnType<tool>>} - Array of image tools
- */
-function createOpenAIImageTools(fields = {}) {
-  /** @type {boolean} Used to initialize the Tool without necessary variables. */
-  const override = fields.override ?? false;
-  /** @type {boolean} */
-  if (!override && !fields.isAgent) {
-    throw new Error('This tool is only available for agents.');
-  }
-  const { req } = fields;
-  const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
-  const appFileStrategy = fields.fileStrategy;
-
-  const getApiKey = () => {
-    const apiKey = process.env.IMAGE_GEN_OAI_API_KEY ?? '';
-    if (!apiKey && !override) {
-      throw new Error('Missing IMAGE_GEN_OAI_API_KEY environment variable.');
-    }
-    return apiKey;
-  };
-
-  let apiKey = fields.IMAGE_GEN_OAI_API_KEY ?? getApiKey();
-  const closureConfig = { apiKey };
-
-  const imageModel = process.env.IMAGE_GEN_OAI_MODEL || 'gpt-image-1';
-
-  let baseURL = 'https://api.openai.com/v1/';
-  if (!override && process.env.IMAGE_GEN_OAI_BASEURL) {
-    baseURL = extractBaseURL(process.env.IMAGE_GEN_OAI_BASEURL);
-    closureConfig.baseURL = baseURL;
-  }
-
-  // Note: Azure may not yet support the latest image generation models
-  if (
-    !override &&
-    process.env.IMAGE_GEN_OAI_AZURE_API_VERSION &&
-    process.env.IMAGE_GEN_OAI_BASEURL
-  ) {
-    baseURL = process.env.IMAGE_GEN_OAI_BASEURL;
-    closureConfig.baseURL = baseURL;
-    closureConfig.defaultQuery = { 'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION };
-    closureConfig.defaultHeaders = {
-      'api-key': process.env.IMAGE_GEN_OAI_API_KEY,
-      'Content-Type': 'application/json',
-    };
-    closureConfig.apiKey = process.env.IMAGE_GEN_OAI_API_KEY;
-  }
-
-  const imageFiles = fields.imageFiles ?? [];
-
-  /**
-   * Image Generation Tool
-   */
-  const imageGenTool = tool(
-    async (
-      {
-        prompt,
-        background = 'auto',
-        n = 1,
-        output_compression = 100,
-        quality = 'auto',
-        size = 'auto',
-      },
-      runnableConfig,
-    ) => {
-      if (!prompt) {
-        throw new Error('Missing required field: prompt');
-      }
-      const clientConfig = { ...closureConfig };
-      if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        clientConfig.fetchOptions = {
-          dispatcher: proxyAgent,
-        };
-      }
-
-      /** @type {OpenAI} */
-      const openai = new OpenAI(clientConfig);
-      let output_format = imageOutputType;
-      if (
-        background === 'transparent' &&
-        output_format !== EImageOutputType.PNG &&
-        output_format !== EImageOutputType.WEBP
-      ) {
-        logger.warn(
-          '[ImageGenOAI] Transparent background requires PNG or WebP format, defaulting to PNG',
-        );
-        output_format = EImageOutputType.PNG;
-      }
-
-      let resp;
-      /** @type {AbortSignal} */
-      let derivedSignal = null;
-      /** @type {() => void} */
-      let abortHandler = null;
-
-      try {
-        if (runnableConfig?.signal) {
-          derivedSignal = AbortSignal.any([runnableConfig.signal]);
-          abortHandler = createAbortHandler();
-          derivedSignal.addEventListener('abort', abortHandler, { once: true });
-        }
-
-        resp = await openai.images.generate(
-          {
-            model: imageModel,
-            prompt: replaceUnwantedChars(prompt),
-            n: Math.min(Math.max(1, n), 10),
-            background,
-            output_format,
-            output_compression:
-              output_format === EImageOutputType.WEBP || output_format === EImageOutputType.JPEG
-                ? output_compression
-                : undefined,
-            quality,
-            size,
-          },
-          {
-            signal: derivedSignal,
-          },
-        );
-      } catch (error) {
-        const message = '[image_gen_oai] Problem generating the image:';
-        logAxiosError({ error, message });
-        return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
-Error Message: ${error.message}`);
-      } finally {
-        if (abortHandler && derivedSignal) {
-          derivedSignal.removeEventListener('abort', abortHandler);
-        }
-      }
-
-      if (!resp) {
-        return returnValue(
-          'Something went wrong when trying to generate the image. The OpenAI API may be unavailable',
-        );
-      }
-
-      // For gpt-image-1, the response contains base64-encoded images
-      // TODO: handle cost in `resp.usage`
-      const base64Image = resp.data[0].b64_json;
-
-      if (!base64Image) {
-        return returnValue(
-          'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
-        );
-      }
-
-      const content = [
-        {
-          type: ContentTypes.IMAGE_URL,
-          image_url: {
-            url: `data:image/${output_format};base64,${base64Image}`,
-          },
-        },
-      ];
-
-      const file_ids = [v4()];
-      const response = [
-        {
-          type: ContentTypes.TEXT,
-          text: displayMessage + `\n\ngenerated_image_id: "${file_ids[0]}"`,
-        },
-      ];
-      return [response, { content, file_ids }];
-    },
-    oaiToolkit.image_gen_oai,
-  );
-
-  /**
-   * Image Editing Tool
-   */
-  const imageEditTool = tool(
-    async ({ prompt, image_ids, quality = 'auto', size = 'auto' }, runnableConfig) => {
-      if (!prompt) {
-        throw new Error('Missing required field: prompt');
-      }
-
-      const clientConfig = { ...closureConfig };
-      if (process.env.PROXY) {
-        const proxyAgent = new ProxyAgent(process.env.PROXY);
-        clientConfig.fetchOptions = {
-          dispatcher: proxyAgent,
-        };
-      }
-
-      const formData = new FormData();
-      formData.append('model', imageModel);
-      formData.append('prompt', replaceUnwantedChars(prompt));
-      // TODO: `mask` support
-      // TODO: more than 1 image support
-      // formData.append('n', n.toString());
-      formData.append('quality', quality);
-      formData.append('size', size);
-
-      /** @type {Record<FileSources, undefined | NodeStreamDownloader<File>>} */
-      const streamMethods = {};
-
-      const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));
-
-      const orderedFiles = new Array(image_ids.length);
-      const idsToFetch = [];
-      const indexOfMissing = Object.create(null);
-
-      for (let i = 0; i < image_ids.length; i++) {
-        const id = image_ids[i];
-        const file = requestFilesMap[id];
-
-        if (file) {
-          orderedFiles[i] = file;
-        } else {
-          idsToFetch.push(id);
-          indexOfMissing[id] = i;
-        }
-      }
-
-      if (idsToFetch.length) {
-        const fetchedFiles = await getFiles(
-          {
-            user: req.user.id,
-            file_id: { $in: idsToFetch },
-            height: { $exists: true },
-            width: { $exists: true },
-          },
-          {},
-          {},
-        );
-
-        for (const file of fetchedFiles) {
-          requestFilesMap[file.file_id] = file;
-          orderedFiles[indexOfMissing[file.file_id]] = file;
-        }
-      }
-      for (const imageFile of orderedFiles) {
-        if (!imageFile) {
-          continue;
-        }
-        /** @type {NodeStream<File>} */
-        let stream;
-        /** @type {NodeStreamDownloader<File>} */
-        let getDownloadStream;
-        const source = imageFile.source || appFileStrategy;
-        if (!source) {
-          throw new Error('No source found for image file');
-        }
-        if (streamMethods[source]) {
-          getDownloadStream = streamMethods[source];
-        } else {
-          ({ getDownloadStream } = getStrategyFunctions(source));
-          streamMethods[source] = getDownloadStream;
-        }
-        if (!getDownloadStream) {
-          throw new Error(`No download stream method found for source: ${source}`);
-        }
-        stream = await getDownloadStream(req, imageFile.filepath);
-        if (!stream) {
-          throw new Error('Failed to get download stream for image file');
-        }
-        formData.append('image[]', stream, {
-          filename: imageFile.filename,
-          contentType: imageFile.type,
-        });
-      }
-
-      /** @type {import('axios').RawAxiosHeaders} */
-      let headers = {
-        ...formData.getHeaders(),
-      };
-
-      if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
-        headers['api-key'] = apiKey;
-      } else {
-        headers['Authorization'] = `Bearer ${apiKey}`;
-      }
-
-      /** @type {AbortSignal} */
-      let derivedSignal = null;
-      /** @type {() => void} */
-      let abortHandler = null;
-
-      try {
-        if (runnableConfig?.signal) {
-          derivedSignal = AbortSignal.any([runnableConfig.signal]);
-          abortHandler = createAbortHandler();
-          derivedSignal.addEventListener('abort', abortHandler, { once: true });
-        }
-
-        /** @type {import('axios').AxiosRequestConfig} */
-        const axiosConfig = {
-          headers,
-          ...clientConfig,
-          signal: derivedSignal,
-          baseURL,
-        };
-
-        if (process.env.PROXY) {
-          axiosConfig.httpsAgent = new HttpsProxyAgent(process.env.PROXY);
-        }
-
-        if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
-          axiosConfig.params = {
-            'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION,
-            ...axiosConfig.params,
-          };
-        }
-        const response = await axios.post('/images/edits', formData, axiosConfig);
-
-        if (!response.data || !response.data.data || !response.data.data.length) {
-          return returnValue(
-            'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
-          );
-        }
-
-        const base64Image = response.data.data[0].b64_json;
-        if (!base64Image) {
-          return returnValue(
-            'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
-          );
-        }
-
-        const content = [
-          {
-            type: ContentTypes.IMAGE_URL,
-            image_url: {
-              url: `data:image/${imageOutputType};base64,${base64Image}`,
-            },
-          },
-        ];
-
-        const file_ids = [v4()];
-        const textResponse = [
-          {
-            type: ContentTypes.TEXT,
-            text:
-              displayMessage +
-              `\n\ngenerated_image_id: "${file_ids[0]}"\nreferenced_image_ids: ["${image_ids.join('", "')}"]`,
-          },
-        ];
-        return [textResponse, { content, file_ids }];
-      } catch (error) {
-        const message = '[image_edit_oai] Problem editing the image:';
-        logAxiosError({ error, message });
-        return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
-Error Message: ${error.message || 'Unknown error'}`);
-      } finally {
-        if (abortHandler && derivedSignal) {
-          derivedSignal.removeEventListener('abort', abortHandler);
-        }
-      }
-    },
-    oaiToolkit.image_edit_oai,
-  );
-
-  return [imageGenTool, imageEditTool];
-}
-
-module.exports = createOpenAIImageTools;

api/app/clients/tools/structured/OpenWeather.js

@@ -1,355 +0,0 @@
-const { Tool } = require('@langchain/core/tools');
-const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-const fetch = require('node-fetch');
-
-const openWeatherJsonSchema = {
-  type: 'object',
-  properties: {
-    action: {
-      type: 'string',
-      enum: ['help', 'current_forecast', 'timestamp', 'daily_aggregation', 'overview'],
-      description: 'The action to perform',
-    },
-    city: {
-      type: 'string',
-      description: 'City name for geocoding if lat/lon not provided',
-    },
-    lat: {
-      type: 'number',
-      description: 'Latitude coordinate',
-    },
-    lon: {
-      type: 'number',
-      description: 'Longitude coordinate',
-    },
-    exclude: {
-      type: 'string',
-      description: 'Parts to exclude from the response',
-    },
-    units: {
-      type: 'string',
-      enum: ['Celsius', 'Kelvin', 'Fahrenheit'],
-      description: 'Temperature units',
-    },
-    lang: {
-      type: 'string',
-      description: 'Language code',
-    },
-    date: {
-      type: 'string',
-      description: 'Date in YYYY-MM-DD format for timestamp and daily_aggregation',
-    },
-    tz: {
-      type: 'string',
-      description: 'Timezone',
-    },
-  },
-  required: ['action'],
-};
-
-/**
- * Map user-friendly units to OpenWeather units.
- * Defaults to Celsius if not specified.
- */
-function mapUnitsToOpenWeather(unit) {
-  if (!unit) {
-    return 'metric';
-  } // Default to Celsius
-  switch (unit) {
-    case 'Celsius':
-      return 'metric';
-    case 'Kelvin':
-      return 'standard';
-    case 'Fahrenheit':
-      return 'imperial';
-    default:
-      return 'metric'; // fallback
-  }
-}
-
-/**
- * Recursively round temperature fields in the API response.
- */
-function roundTemperatures(obj) {
-  const tempKeys = new Set([
-    'temp',
-    'feels_like',
-    'dew_point',
-    'day',
-    'min',
-    'max',
-    'night',
-    'eve',
-    'morn',
-    'afternoon',
-    'morning',
-    'evening',
-  ]);
-
-  if (Array.isArray(obj)) {
-    return obj.map((item) => roundTemperatures(item));
-  } else if (obj && typeof obj === 'object') {
-    for (const key of Object.keys(obj)) {
-      const value = obj[key];
-      if (value && typeof value === 'object') {
-        obj[key] = roundTemperatures(value);
-      } else if (typeof value === 'number' && tempKeys.has(key)) {
-        obj[key] = Math.round(value);
-      }
-    }
-  }
-  return obj;
-}
-
-class OpenWeather extends Tool {
-  name = 'open_weather';
-  description =
-    'Provides weather data from OpenWeather One Call API 3.0. ' +
-    'Actions: help, current_forecast, timestamp, daily_aggregation, overview. ' +
-    'If lat/lon not provided, specify "city" for geocoding. ' +
-    'Units: "Celsius", "Kelvin", or "Fahrenheit" (default: Celsius). ' +
-    'For timestamp action, use "date" in YYYY-MM-DD format.';
-
-  schema = openWeatherJsonSchema;
-
-  static get jsonSchema() {
-    return openWeatherJsonSchema;
-  }
-
-  constructor(fields = {}) {
-    super();
-    this.envVar = 'OPENWEATHER_API_KEY';
-    this.override = fields.override ?? false;
-    this.apiKey = fields[this.envVar] ?? this.getApiKey();
-  }
-
-  getApiKey() {
-    const key = getEnvironmentVariable(this.envVar);
-    if (!key && !this.override) {
-      throw new Error(`Missing ${this.envVar} environment variable.`);
-    }
-    return key;
-  }
-
-  async geocodeCity(city) {
-    const geocodeUrl = `https://api.openweathermap.org/geo/1.0/direct?q=${encodeURIComponent(
-      city,
-    )}&limit=1&appid=${this.apiKey}`;
-    const res = await fetch(geocodeUrl);
-    const data = await res.json();
-    if (!res.ok || !Array.isArray(data) || data.length === 0) {
-      throw new Error(`Could not find coordinates for city: ${city}`);
-    }
-    return { lat: data[0].lat, lon: data[0].lon };
-  }
-
-  convertDateToUnix(dateStr) {
-    const parts = dateStr.split('-');
-    if (parts.length !== 3) {
-      throw new Error('Invalid date format. Expected YYYY-MM-DD.');
-    }
-    const year = parseInt(parts[0], 10);
-    const month = parseInt(parts[1], 10);
-    const day = parseInt(parts[2], 10);
-    if (isNaN(year) || isNaN(month) || isNaN(day)) {
-      throw new Error('Invalid date format. Expected YYYY-MM-DD with valid numbers.');
-    }
-
-    const dateObj = new Date(Date.UTC(year, month - 1, day, 0, 0, 0));
-    if (isNaN(dateObj.getTime())) {
-      throw new Error('Invalid date provided. Cannot parse into a valid date.');
-    }
-
-    return Math.floor(dateObj.getTime() / 1000);
-  }
-
-  async _call(args) {
-    try {
-      const { action, city, lat, lon, exclude, units, lang, date, tz } = args;
-      const owmUnits = mapUnitsToOpenWeather(units);
-
-      if (action === 'help') {
-        return JSON.stringify(
-          {
-            title: 'OpenWeather One Call API 3.0 Help',
-            description: 'Guidance on using the OpenWeather One Call API 3.0.',
-            endpoints: {
-              current_and_forecast: {
-                endpoint: 'data/3.0/onecall',
-                data_provided: [
-                  'Current weather',
-                  'Minute forecast (1h)',
-                  'Hourly forecast (48h)',
-                  'Daily forecast (8 days)',
-                  'Government weather alerts',
-                ],
-                required_params: [['lat', 'lon'], ['city']],
-                optional_params: ['exclude', 'units (Celsius/Kelvin/Fahrenheit)', 'lang'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  units: 'Fahrenheit',
-                  lang: 'en',
-                },
-              },
-              weather_for_timestamp: {
-                endpoint: 'data/3.0/onecall/timemachine',
-                data_provided: [
-                  'Historical weather (since 1979-01-01)',
-                  'Future forecast up to 4 days ahead',
-                ],
-                required_params: [
-                  ['lat', 'lon', 'date (YYYY-MM-DD)'],
-                  ['city', 'date (YYYY-MM-DD)'],
-                ],
-                optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2020-03-04',
-                  units: 'Fahrenheit',
-                  lang: 'en',
-                },
-              },
-              daily_aggregation: {
-                endpoint: 'data/3.0/onecall/day_summary',
-                data_provided: [
-                  'Aggregated weather data for a specific date (1979-01-02 to 1.5 years ahead)',
-                ],
-                required_params: [
-                  ['lat', 'lon', 'date (YYYY-MM-DD)'],
-                  ['city', 'date (YYYY-MM-DD)'],
-                ],
-                optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang', 'tz'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2020-03-04',
-                  units: 'Celsius',
-                  lang: 'en',
-                },
-              },
-              weather_overview: {
-                endpoint: 'data/3.0/onecall/overview',
-                data_provided: ['Human-readable weather summary (today/tomorrow)'],
-                required_params: [['lat', 'lon'], ['city']],
-                optional_params: ['date (YYYY-MM-DD)', 'units (Celsius/Kelvin/Fahrenheit)'],
-                usage_example: {
-                  city: 'Knoxville, Tennessee',
-                  date: '2024-05-13',
-                  units: 'Celsius',
-                },
-              },
-            },
-            notes: [
-              'If lat/lon not provided, you can specify a city name and it will be geocoded.',
-              'For the timestamp action, provide a date in YYYY-MM-DD format instead of a Unix timestamp.',
-              'By default, temperatures are returned in Celsius.',
-              'You can specify units as Celsius, Kelvin, or Fahrenheit.',
-              'All temperatures are rounded to the nearest degree.',
-            ],
-            errors: [
-              '400: Bad Request (missing/invalid params)',
-              '401: Unauthorized (check API key)',
-              '404: Not Found (no data or city)',
-              '429: Too many requests',
-              '5xx: Internal error',
-            ],
-          },
-          null,
-          2,
-        );
-      }
-
-      let finalLat = lat;
-      let finalLon = lon;
-
-      // If lat/lon not provided but city is given, geocode it
-      if ((finalLat == null || finalLon == null) && city) {
-        const coords = await this.geocodeCity(city);
-        finalLat = coords.lat;
-        finalLon = coords.lon;
-      }
-
-      if (['current_forecast', 'timestamp', 'daily_aggregation', 'overview'].includes(action)) {
-        if (typeof finalLat !== 'number' || typeof finalLon !== 'number') {
-          return "Error: lat and lon are required and must be numbers for this action (or specify 'city').";
-        }
-      }
-
-      const baseUrl = 'https://api.openweathermap.org/data/3.0';
-      let endpoint = '';
-      const params = new URLSearchParams({ appid: this.apiKey, units: owmUnits });
-
-      let dt;
-      if (action === 'timestamp') {
-        if (!date) {
-          return "Error: For timestamp action, a 'date' in YYYY-MM-DD format is required.";
-        }
-        dt = this.convertDateToUnix(date);
-      }
-
-      if (action === 'daily_aggregation' && !date) {
-        return 'Error: date (YYYY-MM-DD) is required for daily_aggregation action.';
-      }
-
-      switch (action) {
-        case 'current_forecast':
-          endpoint = '/onecall';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          if (exclude) {
-            params.append('exclude', exclude);
-          }
-          if (lang) {
-            params.append('lang', lang);
-          }
-          break;
-        case 'timestamp':
-          endpoint = '/onecall/timemachine';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          params.append('dt', String(dt));
-          if (lang) {
-            params.append('lang', lang);
-          }
-          break;
-        case 'daily_aggregation':
-          endpoint = '/onecall/day_summary';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          params.append('date', date);
-          if (lang) {
-            params.append('lang', lang);
-          }
-          if (tz) {
-            params.append('tz', tz);
-          }
-          break;
-        case 'overview':
-          endpoint = '/onecall/overview';
-          params.append('lat', String(finalLat));
-          params.append('lon', String(finalLon));
-          if (date) {
-            params.append('date', date);
-          }
-          break;
-        default:
-          return `Error: Unknown action: ${action}`;
-      }
-
-      const url = `${baseUrl}${endpoint}?${params.toString()}`;
-      const response = await fetch(url);
-      const json = await response.json();
-      if (!response.ok) {
-        return `Error: OpenWeather API request failed with status ${response.status}: ${
-          json.message || JSON.stringify(json)
-        }`;
-      }
-
-      const roundedJson = roundTemperatures(json);
-      return JSON.stringify(roundedJson);
-    } catch (err) {
-      return `Error: ${err.message}`;
-    }
-  }
-}
-
-module.exports = OpenWeather;

api/app/clients/tools/structured/StableDiffusion.js

@@ -1,209 +0,0 @@
-// Generates image using stable diffusion webui's api (automatic1111)
-const fs = require('fs');
-const path = require('path');
-const axios = require('axios');
-const sharp = require('sharp');
-const { v4: uuidv4 } = require('uuid');
-const { Tool } = require('@langchain/core/tools');
-const { logger } = require('@librechat/data-schemas');
-const { FileContext, ContentTypes } = require('librechat-data-provider');
-const { getBasePath } = require('@librechat/api');
-const paths = require('~/config/paths');
-
-const stableDiffusionJsonSchema = {
-  type: 'object',
-  properties: {
-    prompt: {
-      type: 'string',
-      description:
-        'Detailed keywords to describe the subject, using at least 7 keywords to accurately describe the image, separated by comma',
-    },
-    negative_prompt: {
-      type: 'string',
-      description:
-        'Keywords we want to exclude from the final image, using at least 7 keywords to accurately describe the image, separated by comma',
-    },
-  },
-  required: ['prompt', 'negative_prompt'],
-};
-
-const displayMessage =
-  "Stable Diffusion displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
-
-class StableDiffusionAPI extends Tool {
-  constructor(fields) {
-    super();
-    /** @type {string} User ID */
-    this.userId = fields.userId;
-    /** @type {ServerRequest | undefined} Express Request object, only provided by ToolService */
-    this.req = fields.req;
-    /** @type {boolean} Used to initialize the Tool without necessary variables. */
-    this.override = fields.override ?? false;
-    /** @type {boolean} Necessary for output to contain all image metadata. */
-    this.returnMetadata = fields.returnMetadata ?? false;
-    /** @type {boolean} */
-    this.isAgent = fields.isAgent;
-    if (this.isAgent) {
-      /** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
-      this.responseFormat = 'content_and_artifact';
-    }
-    if (fields.uploadImageBuffer) {
-      /** @type {uploadImageBuffer} Necessary for output to contain all image metadata. */
-      this.uploadImageBuffer = fields.uploadImageBuffer.bind(this);
-    }
-
-    this.name = 'stable-diffusion';
-    this.url = fields.SD_WEBUI_URL || this.getServerURL();
-    this.description_for_model = `// Generate images and visuals using text.
-// Guidelines:
-// - ALWAYS use {{"prompt": "7+ detailed keywords", "negative_prompt": "7+ detailed keywords"}} structure for queries.
-// - ALWAYS include the markdown url in your final response to show the user: ![caption](${getBasePath()}/images/id.png)
-// - Visually describe the moods, details, structures, styles, and/or proportions of the image. Remember, the focus is on visual attributes.
-// - Craft your input by "showing" and not "telling" the imagery. Think in terms of what you'd want to see in a photograph or a painting.
-// - Here's an example for generating a realistic portrait photo of a man:
-// "prompt":"photo of a man in black clothes, half body, high detailed skin, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3"
-// "negative_prompt":"semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, out of frame, low quality, ugly, mutation, deformed"
-// - Generate images only once per human query unless explicitly requested by the user`;
-    this.description =
-      "You can generate images using text with 'stable-diffusion'. This tool is exclusively for visual content.";
-    this.schema = stableDiffusionJsonSchema;
-  }
-
-  static get jsonSchema() {
-    return stableDiffusionJsonSchema;
-  }
-
-  replaceNewLinesWithSpaces(inputString) {
-    return inputString.replace(/\r\n|\r|\n/g, ' ');
-  }
-
-  getMarkdownImageUrl(imageName) {
-    const imageUrl = path
-      .join(this.relativePath, this.userId, imageName)
-      .replace(/\\/g, '/')
-      .replace('public/', '');
-    return `![generated image](/${imageUrl})`;
-  }
-
-  returnValue(value) {
-    if (this.isAgent === true && typeof value === 'string') {
-      return [value, {}];
-    } else if (this.isAgent === true && typeof value === 'object') {
-      return [displayMessage, value];
-    }
-
-    return value;
-  }
-
-  getServerURL() {
-    const url = process.env.SD_WEBUI_URL || '';
-    if (!url && !this.override) {
-      throw new Error('Missing SD_WEBUI_URL environment variable.');
-    }
-    return url;
-  }
-
-  async _call(data) {
-    const url = this.url;
-    const { prompt, negative_prompt } = data;
-    const payload = {
-      prompt,
-      negative_prompt,
-      cfg_scale: 4.5,
-      steps: 22,
-      width: 1024,
-      height: 1024,
-    };
-    let generationResponse;
-    try {
-      generationResponse = await axios.post(`${url}/sdapi/v1/txt2img`, payload);
-    } catch (error) {
-      logger.error('[StableDiffusion] Error while generating image:', error);
-      return this.returnValue('Error making API request.');
-    }
-    const image = generationResponse.data.images[0];
-
-    /** @type {{ height: number, width: number, seed: number, infotexts: string[] }} */
-    let info = {};
-    try {
-      info = JSON.parse(generationResponse.data.info);
-    } catch (error) {
-      logger.error('[StableDiffusion] Error while getting image metadata:', error);
-    }
-
-    const file_id = uuidv4();
-    const imageName = `${file_id}.png`;
-    const { imageOutput: imageOutputPath, clientPath } = paths;
-    const filepath = path.join(imageOutputPath, this.userId, imageName);
-    this.relativePath = path.relative(clientPath, imageOutputPath);
-
-    if (!fs.existsSync(path.join(imageOutputPath, this.userId))) {
-      fs.mkdirSync(path.join(imageOutputPath, this.userId), { recursive: true });
-    }
-
-    try {
-      if (this.isAgent) {
-        const content = [
-          {
-            type: ContentTypes.IMAGE_URL,
-            image_url: {
-              url: `data:image/png;base64,${image}`,
-            },
-          },
-        ];
-
-        const response = [
-          {
-            type: ContentTypes.TEXT,
-            text: displayMessage,
-          },
-        ];
-        return [response, { content }];
-      }
-
-      const buffer = Buffer.from(image.split(',', 1)[0], 'base64');
-      if (this.returnMetadata && this.uploadImageBuffer && this.req) {
-        const file = await this.uploadImageBuffer({
-          req: this.req,
-          context: FileContext.image_generation,
-          resize: false,
-          metadata: {
-            buffer,
-            height: info.height,
-            width: info.width,
-            bytes: Buffer.byteLength(buffer),
-            filename: imageName,
-            type: 'image/png',
-            file_id,
-          },
-        });
-
-        const generationInfo = info.infotexts[0].split('\n').pop();
-        return {
-          ...file,
-          prompt,
-          metadata: {
-            negative_prompt,
-            seed: info.seed,
-            info: generationInfo,
-          },
-        };
-      }
-
-      await sharp(buffer)
-        .withMetadata({
-          iptcpng: {
-            parameters: info.infotexts[0],
-          },
-        })
-        .toFile(filepath);
-      this.result = this.getMarkdownImageUrl(imageName);
-    } catch (error) {
-      logger.error('[StableDiffusion] Error while saving the image:', error);
-    }
-
-    return this.returnValue(this.result);
-  }
-}
-
-module.exports = StableDiffusionAPI;

api/app/clients/tools/structured/TavilySearch.js

@@ -1,77 +0,0 @@
-const { z } = require('zod');
-const { ProxyAgent, fetch } = require('undici');
-const { tool } = require('@langchain/core/tools');
-const { getApiKey } = require('./credentials');
-
-function createTavilySearchTool(fields = {}) {
-  const envVar = 'TAVILY_API_KEY';
-  const override = fields.override ?? false;
-  const apiKey = fields.apiKey ?? getApiKey(envVar, override);
-  const kwargs = fields?.kwargs ?? {};
-
-  return tool(
-    async (input) => {
-      const { query, ...rest } = input;
-
-      const requestBody = {
-        api_key: apiKey,
-        query,
-        ...rest,
-        ...kwargs,
-      };
-
-      const fetchOptions = {
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify(requestBody),
-      };
-
-      if (process.env.PROXY) {
-        fetchOptions.dispatcher = new ProxyAgent(process.env.PROXY);
-      }
-
-      const response = await fetch('https://api.tavily.com/search', fetchOptions);
-
-      const json = await response.json();
-      if (!response.ok) {
-        throw new Error(`Request failed with status ${response.status}: ${json.error}`);
-      }
-
-      return JSON.stringify(json);
-    },
-    {
-      name: 'tavily_search_results_json',
-      description:
-        'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.',
-      schema: z.object({
-        query: z.string().min(1).describe('The search query string.'),
-        max_results: z
-          .number()
-          .min(1)
-          .max(10)
-          .optional()
-          .describe('The maximum number of search results to return. Defaults to 5.'),
-        search_depth: z
-          .enum(['basic', 'advanced'])
-          .optional()
-          .describe(
-            'The depth of the search, affecting result quality and response time (`basic` or `advanced`). Default is basic for quick results and advanced for indepth high quality results but longer response time. Advanced calls equals 2 requests.',
-          ),
-        include_images: z
-          .boolean()
-          .optional()
-          .describe(
-            'Whether to include a list of query-related images in the response. Default is False.',
-          ),
-        include_answer: z
-          .boolean()
-          .optional()
-          .describe('Whether to include answers in the search results. Default is False.'),
-      }),
-    },
-  );
-}
-
-module.exports = createTavilySearchTool;

api/app/clients/tools/structured/TavilySearchResults.js

@@ -1,140 +0,0 @@
-const { ProxyAgent, fetch } = require('undici');
-const { Tool } = require('@langchain/core/tools');
-const { getEnvironmentVariable } = require('@langchain/core/utils/env');
-
-const tavilySearchJsonSchema = {
-  type: 'object',
-  properties: {
-    query: {
-      type: 'string',
-      minLength: 1,
-      description: 'The search query string.',
-    },
-    max_results: {
-      type: 'number',
-      minimum: 1,
-      maximum: 10,
-      description: 'The maximum number of search results to return. Defaults to 5.',
-    },
-    search_depth: {
-      type: 'string',
-      enum: ['basic', 'advanced'],
-      description:
-        'The depth of the search, affecting result quality and response time (`basic` or `advanced`). Default is basic for quick results and advanced for indepth high quality results but longer response time. Advanced calls equals 2 requests.',
-    },
-    include_images: {
-      type: 'boolean',
-      description:
-        'Whether to include a list of query-related images in the response. Default is False.',
-    },
-    include_answer: {
-      type: 'boolean',
-      description: 'Whether to include answers in the search results. Default is False.',
-    },
-    include_raw_content: {
-      type: 'boolean',
-      description: 'Whether to include raw content in the search results. Default is False.',
-    },
-    include_domains: {
-      type: 'array',
-      items: { type: 'string' },
-      description: 'A list of domains to specifically include in the search results.',
-    },
-    exclude_domains: {
-      type: 'array',
-      items: { type: 'string' },
-      description: 'A list of domains to specifically exclude from the search results.',
-    },
-    topic: {
-      type: 'string',
-      enum: ['general', 'news', 'finance'],
-      description:
-        'The category of the search. Use news ONLY if query SPECIFCALLY mentions the word "news".',
-    },
-    time_range: {
-      type: 'string',
-      enum: ['day', 'week', 'month', 'year', 'd', 'w', 'm', 'y'],
-      description: 'The time range back from the current date to filter results.',
-    },
-    days: {
-      type: 'number',
-      minimum: 1,
-      description: 'Number of days back from the current date to include. Only if topic is news.',
-    },
-    include_image_descriptions: {
-      type: 'boolean',
-      description:
-        'When include_images is true, also add a descriptive text for each image. Default is false.',
-    },
-  },
-  required: ['query'],
-};
-
-class TavilySearchResults extends Tool {
-  static lc_name() {
-    return 'TavilySearchResults';
-  }
-
-  constructor(fields = {}) {
-    super(fields);
-    this.envVar = 'TAVILY_API_KEY';
-    /* Used to initialize the Tool without necessary variables. */
-    this.override = fields.override ?? false;
-    this.apiKey = fields[this.envVar] ?? this.getApiKey();
-
-    this.kwargs = fields?.kwargs ?? {};
-    this.name = 'tavily_search_results_json';
-    this.description =
-      'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.';
-
-    this.schema = tavilySearchJsonSchema;
-  }
-
-  static get jsonSchema() {
-    return tavilySearchJsonSchema;
-  }
-
-  getApiKey() {
-    const apiKey = getEnvironmentVariable(this.envVar);
-    if (!apiKey && !this.override) {
-      throw new Error(`Missing ${this.envVar} environment variable.`);
-    }
-    return apiKey;
-  }
-
-  async _call(input) {
-    const { query, ...rest } = input;
-
-    const requestBody = {
-      api_key: this.apiKey,
-      query,
-      ...rest,
-      ...this.kwargs,
-    };
-
-    const fetchOptions = {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-      },
-      body: JSON.stringify(requestBody),
-    };
-
-    if (process.env.PROXY) {
-      fetchOptions.dispatcher = new ProxyAgent(process.env.PROXY);
-    }
-
-    const response = await fetch('https://api.tavily.com/search', fetchOptions);
-
-    const json = await response.json();
-    if (!response.ok) {
-      throw new Error(
-        `Request failed with status ${response.status}: ${json?.detail?.error || json?.error}`,
-      );
-    }
-
-    return JSON.stringify(json);
-  }
-}
-
-module.exports = TavilySearchResults;