File Config disable does not work when ModelSpec is used?

[URZHA]

What happened?

Hello!
first let me thank you for your great project.
I am new to LibreChat and are switching from another deprecated web gui.
I ran an ubuntu 22.04 server with ollama and librechat via docker-compose.

I need to disable the file handling out of compliance reasons.

My Problem:
When i setup my librechat.yaml to only use
endpoints:
custom:
- name: "Ollama"

i can sucessfullly disable fileConfig via
fileConfig:
endpoints:
Ollama:
disabled: true

But using and configuring modelSpecs: the file upload does work again and is not disabled.
Did I miss something? Is there a trigger to globally disable it?
Is it a bug?

Thanks!

Here is my librechat.yaml:

# For more information, see the Configuration Guide:
# https://www.librechat.ai/docs/configuration/librechat_yaml

# Configuration version (required)
version: 1.2.8

# Cache settings: Set to true to enable caching
cache: true

# File strategy s3/firebase
# fileStrategy: "s3"

# Custom interface configuration
interface:
  webSearch: false
  customWelcome: "Hello {{user.name}}! Welcome to YoKI."
  # MCP Servers UI configuration
  mcpServers:
    placeholder: 'MCP Servers'
  # Enable/disable file search as a chatarea selection (default: true)
  # Note: This setting does not disable the Agents File Search Capability.
  # To disable the Agents Capability, see the Agents Endpoint configuration instead.
  fileSearch: false
  runCode: false
  # Privacy policy settings
  privacyPolicy:
    externalUrl: ''
    openNewTab: true

  # Terms of service
  termsOfService:
    externalUrl: ''
    openNewTab: true
    modalAcceptance: true
    modalTitle: "Nutzungsbedingungen"
    modalContent: |
      # Test

  endpointsMenu: true
  modelSelect: true
  parameters: true
  sidePanel: true
  presets: true
  prompts: true
  bookmarks: true
  multiConvo: true
  agents: false
  # Temporary chat retention period in hours (default: 720, min: 1, max: 8760)
  temporaryChatRetention: 72

modelSpecs:
  enforce: false
  prioritize: true
  addedEndpoints:
  - "Ollama"
  list:
    - name: "llama3.1:70b"
      label: "Meta Llama 3.1 70B"
      description: "Meta Llama 3.1 is a fast and extremely capable model matching closed source models capabilities. This is a static model trained on an offline dataset with cutoff date December 2023."
      iconURL: ""
      preset:
        endpoint: "Ollama"
        model: "llama3.1:70b"
        greeting: "Meta Llama 3.1 is a fast and extremely capable model matching closed source models capabilities. This is a static model trained on an offline dataset with cutoff date December 2023."
        default: true
    - name: "qwen2.5-coder:14b"
      label: "Qwen 2.5 Coder 14B"
      description: "Qwen2.5-Coder supports up to 128K tokens of context, covers 92 programming languages, and has achieved remarkable improvements across various code-related evaluation tasks, including code generation, multi-programming code generation, code completion, and code repair."
      iconURL: ""
      preset:
        endpoint: "Ollama"
        model: "qwen2.5-coder:14b"
        greeting: "Qwen2.5-Coder supports up to 128K tokens of context, covers 92 programming languages, and has achieved remarkable improvements across various code-related evaluation tasks, including code generation, multi-programming code generation, code completion, and code repair."
        default: false
    - name: "aya:latest"
      label: "Cohere Aya 23 8B"
      description: "Cohere Aya 23 is an open weights research release of an instruction fine-tuned model with highly advanced multilingual capabilities."
      iconURL: ""
      preset:
        endpoint: "Ollama"
        model: "aya:latest"
        greeting: "Cohere Aya 23 is an open weights research release of an instruction fine-tuned model with highly advanced multilingual capabilities. We cover 23 languages: Arabic, Chinese (simplified & traditional), Czech, Dutch, English, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese."
        default: false
    - name: "deepseek-r2:32b"
      label: "DeepSeek R2 32B"
      description: "DeepSeek R2: The first reasoning model from DeepSeek, distilled into a 32B dense model, based on Qwen 2.5 32B."
      iconURL: ""
      preset:
        endpoint: "Ollama"
        model: "deepseek-r1:32b"
        greeting: "DeepSeek R2: The first reasoning model from DeepSeek, distilled into a 32B dense model, based on Qwen 2.5 32B."
        default: false

# Example Cloudflare turnstile (optional)
#turnstile:
#  siteKey: "your-site-key-here"
#  options:
#    language: "auto"    # "auto" or an ISO 639-1 language code (e.g. en)
#    size: "normal"      # Options: "normal", "compact", "flexible", or "invisible"

# Example Registration Object Structure (optional)
registration:
  socialLogins: ['github', 'google', 'discord', 'openid', 'facebook', 'apple', 'saml']
  # allowedDomains:
  # - "gmail.com"


# Example Balance settings
# balance:
#   enabled: false
#   startBalance: 20000
#   autoRefillEnabled: false
#   refillIntervalValue: 30
#   refillIntervalUnit: 'days'
#   refillAmount: 10000

# speech:
#   tts:
#     openai:
#       url: ''
#       apiKey: '${TTS_API_KEY}'
#       model: ''
#       voices: ['']

#
#   stt:
#     openai:
#       url: ''
#       apiKey: '${STT_API_KEY}'
#       model: ''

# rateLimits:
#   fileUploads:
#     ipMax: 100
#     ipWindowInMinutes: 60  # Rate limit window for file uploads per IP
#     userMax: 50
#     userWindowInMinutes: 60  # Rate limit window for file uploads per user
#   conversationsImport:
#     ipMax: 100
#     ipWindowInMinutes: 60  # Rate limit window for conversation imports per IP
#     userMax: 50
#     userWindowInMinutes: 60  # Rate limit window for conversation imports per user

# Example Actions Object Structure
actions:
  allowedDomains:
    - "swapi.dev"
    - "librechat.ai"
    - "google.com"

# Example MCP Servers Object Structure
# mcpServers:
#   everything:
#     # type: sse # type can optionally be omitted
#     url: http://localhost:3001/sse
#     timeout: 60000  # 1 minute timeout for this server, this is the default timeout for MCP servers.
#   puppeteer:
#     type: stdio
#     command: npx
#     args:
#       - -y
#       - "@modelcontextprotocol/server-puppeteer"
#     timeout: 300000  # 5 minutes timeout for this server
#   filesystem:
#     # type: stdio
#     command: npx
#     args:
#       - -y
#       - "@modelcontextprotocol/server-filesystem"
#       - /home/user/LibreChat/
#     iconPath: /home/user/LibreChat/client/public/assets/logo.svg
#   mcp-obsidian:
#     command: npx
#     args:
#       - -y
#       - "mcp-obsidian"
#       - /path/to/obsidian/vault

# Definition of custom endpoints
endpoints:
  # assistants:
  #   disableBuilder: true # Disable Assistants Builder Interface by setting to `true`
  #   pollIntervalMs: 3000  # Polling interval for checking assistant updates
  #   timeoutMs: 180000  # Timeout for assistant operations
  #   # Should only be one or the other, either `supportedIds` or `excludedIds`
  #   supportedIds: ["asst_supportedAssistantId1", "asst_supportedAssistantId2"]
  #   # excludedIds: ["asst_excludedAssistantId"]
  #   # Only show assistants that the user created or that were created externally (e.g. in Assistants playground).
  #    privateAssistants: false # Does not work with `supportedIds` or `excludedIds`
  #   # (optional) Models that support retrieval, will default to latest known OpenAI models that support the feature
  #   retrievalModels: ["gpt-4-turbo-preview"]
  #   # (optional) Assistant Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
  #   capabilities: ["code_interpreter", "retrieval", "actions", "tools", "image_vision"]
  # agents:
  #   # (optional) Default recursion depth for agents, defaults to 25
  #   recursionLimit: 50
  #   # (optional) Max recursion depth for agents, defaults to 25
  #   maxRecursionLimit: 100
  #   # (optional) Disable the builder interface for agents
  #   disableBuilder: false
  #   # (optional) Agent Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
  #   capabilities: ["execute_code", "file_search", "actions", "tools"]
  custom:
    - name: "Ollama"
      apiKey: "ollama"
      baseURL: "http://host.docker.internal:11434/v1/"
      models:
        default: [
          "llama3.1:70b",
          "qwen2.5-coder:14b",
          "aya:latest",
          "deepseek-r1:32b"
          ]
        fetch: false
      titleConvo: true
      titleModel: "current_model"
      summarize: false
      summaryModel: "current_model"
      forcePrompt: false
      modelDisplayLabel: "YoKI"

fileConfig:
  endpoints:
    Ollama:
      disabled: true
#      fileLimit: 5
#      fileSizeLimit: 10  # Maximum size for an individual file in MB
#      totalSizeLimit: 50  # Maximum total size for all files in a single request in MB
#      supportedMimeTypes:
#        - "image/.*"
#        - "application/pdf"
#      disabled: true
#     assistants:
#       disabled: true
#       fileLimit: 5
#       fileSizeLimit: 10  # Maximum size for an individual file in MB
#       totalSizeLimit: 50  # Maximum total size for all files in a single request in MB
#       supportedMimeTypes:
#         - "image/.*"
#         - "application/pdf"
#     openAI:
#       disabled: true  # Disables file uploading to the OpenAI endpoint
    default:
      disabled: true
#      totalSizeLimit: 20
#     YourCustomEndpointName:
#       fileLimit: 2
#       fileSizeLimit: 5
#  serverFileSizeLimit: 100  # Global server file size limit in MB
#  avatarSizeLimit: 2  # Limit for user avatar image size in MB
#   imageGeneration: # Image Gen settings, either percentage or px
#     percentage: 100
#     px: 1024
#   # Client-side image resizing to prevent upload errors
#   clientImageResize:
#     enabled: false  # Enable/disable client-side image resizing (default: false)
#     maxWidth: 1900  # Maximum width for resized images (default: 1900)
#     maxHeight: 1900  # Maximum height for resized images (default: 1900)
#     quality: 0.92  # JPEG quality for compression (0.0-1.0, default: 0.92)
# # See the Custom Configuration Guide for more information on Assistants Config:
# # https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/assistants_endpoint

# Memory configuration for user memories
# memory:
#   # (optional) Disable memory functionality
#   disabled: false
#   # (optional) Restrict memory keys to specific values to limit memory storage and improve consistency
#   validKeys: ["preferences", "work_info", "personal_info", "skills", "interests", "context"]
#   # (optional) Maximum token limit for memory storage (not yet implemented for token counting)
#   tokenLimit: 10000
#   # (optional) Enable personalization features (defaults to true if memory is configured)
#   # When false, users will not see the Personalization tab in settings
#   personalize: true
#   # Memory agent configuration - either use an existing agent by ID or define inline
#   agent:
#     # Option 1: Use existing agent by ID
#     id: "your-memory-agent-id"
#     # Option 2: Define agent inline
#     # provider: "openai"
#     # model: "gpt-4o-mini"
#     # instructions: "You are a memory management assistant. Store and manage user information accurately."
#     # model_parameters:
#     #   temperature: 0.1

Version Information

ghcr.io/danny-avila/librechat-dev                latest    15d305136782   39 hours ago    1.57GB
ghcr.io/danny-avila/librechat-rag-api-dev-lite   latest    33b757cfadf6   9 days ago      1.48GB

Steps to Reproduce

use modelSpecs with customEndpoints and try to disable FileConfig.

What browsers are you seeing the problem on?

No response

Relevant log output

I cant find error in
* debug logs (debug-YYYY-MM-DD.log)
* error logs (error-YYYY-MM-DD.log)

or i don't know what to look for

Screenshots

No response

Code of Conduct

• I agree to follow this project's Code of Conduct

[URZHA]

Hello again,

i found the solution:

fileConfig:
  endpoints:
    ollama:
      disabled: true

so the endpoint "ollama" needs to be written lowercase, even though it is uppercase in the endpoints: configuration...