LibreChat/librechat.example.yaml
“Praneeth 949682ef0f
🏪 feat: Agent Marketplace
bugfix: Enhance Agent and AgentCategory schemas with new fields for category, support contact, and promotion status

refactored and moved agent category methods and schema to data-schema package

🔧 fix: Merge and Rebase Conflicts

- Move AgentCategory from api/models to @packages/data-schemas structure
  - Add schema, types, methods, and model following codebase conventions
  - Implement auto-seeding of default categories during AppService startup
  - Update marketplace controller to use new data-schemas methods
  - Remove old model file and standalone seed script

refactor: unify agent marketplace to single endpoint with cursor pagination

  - Replace multiple marketplace routes with unified /marketplace endpoint
  - Add query string controls: category, search, limit, cursor, promoted, requiredPermission
  - Implement cursor-based pagination replacing page-based system
  - Integrate ACL permissions for proper access control
  - Fix ObjectId constructor error in Agent model
  - Update React components to use unified useGetMarketplaceAgentsQuery hook
  - Enhance type safety and remove deprecated useDynamicAgentQuery
  - Update tests for new marketplace architecture
  -Known issues:
  see more button after category switching + Unit tests

feat: add icon property to ProcessedAgentCategory interface

- Add useMarketplaceAgentsInfiniteQuery and useGetAgentCategoriesQuery to client/src/data-provider/Agents/
  - Replace manual pagination in AgentGrid with infinite query pattern
  - Update imports to use local data provider instead of librechat-data-provider
  - Add proper permission handling with PERMISSION_BITS.VIEW/EDIT constants
  - Improve agent access control by adding requiredPermission validation in backend
  - Remove manual cursor/state management in favor of infinite query built-ins
  - Maintain existing search and category filtering functionality

refactor: consolidate agent marketplace endpoints into main agents API and improve data management consistency

  - Remove dedicated marketplace controller and routes, merging functionality into main agents v1 API
  - Add countPromotedAgents function to Agent model for promoted agents count
  - Enhance getListAgents handler with marketplace filtering (category, search, promoted status)
  - Move getAgentCategories from marketplace to v1 controller with same functionality
  - Update agent mutations to invalidate marketplace queries and handle multiple permission levels
  - Improve cache management by updating all agent query variants (VIEW/EDIT permissions)
  - Consolidate agent data access patterns for better maintainability and consistency
  - Remove duplicate marketplace route definitions and middleware

selected view only agents injected in the drop down

fix: remove minlength validation for support contact name in agent schema

feat: add validation and error messages for agent name in AgentConfig and AgentPanel

fix: update agent permission check logic in AgentPanel to simplify condition

Fix linting WIP

Fix Unit tests WIP

ESLint fixes

eslint fix

refactor: enhance isDuplicateVersion function in Agent model for improved comparison logic

- Introduced handling for undefined/null values in array and object comparisons.
- Normalized array comparisons to treat undefined/null as empty arrays.
- Added deep comparison for objects and improved handling of primitive values.
- Enhanced projectIds comparison to ensure consistent MongoDB ObjectId handling.

refactor: remove redundant properties from IAgent interface in agent schema

chore: update localization for agent detail component and clean up imports

ci: update access middleware tests

chore: remove unused PermissionTypes import from Role model

ci: update AclEntry model tests

ci: update button accessibility labels in AgentDetail tests

refactor: update exhaustive dep. lint warning

🔧 fix: Fixed agent actions access

feat: Add role-level permissions for agent sharing people picker

  - Add PEOPLE_PICKER permission type with VIEW_USERS and VIEW_GROUPS permissions
  - Create custom middleware for query-aware permission validation
  - Implement permission-based type filtering in PeoplePicker component
  - Hide people picker UI when user lacks permissions, show only public toggle
  - Support granular access: users-only, groups-only, or mixed search modes

refactor: Replace marketplace interface config with permission-based system

  - Add MARKETPLACE permission type to handle marketplace access control
  - Update interface configuration to use role-based marketplace settings (admin/user)
  - Replace direct marketplace boolean config with permission-based checks
  - Modify frontend components to use marketplace permissions instead of interface config
  - Update agent query hooks to use marketplace permissions for determining permission levels
  - Add marketplace configuration structure similar to peoplePicker in YAML config
  - Backend now sets MARKETPLACE permissions based on interface configuration
  - When marketplace enabled: users get agents with EDIT permissions in dropdown lists  (builder mode)
  - When marketplace disabled: users get agents with VIEW permissions  in dropdown lists (browse mode)

🔧 fix: Redirect to New Chat if No Marketplace Access and Required Agent Name Placeholder (#8213)

* Fix: Fix the redirect to new chat page if access to marketplace is denied

* Fixed the required agent name placeholder

---------

Co-authored-by: Atef Bellaaj <slalom.bellaaj@external.daimlertruck.com>

chore: fix tests, remove unnecessary imports

refactor: Implement permission checks for file access via agents

- Updated `hasAccessToFilesViaAgent` to utilize permission checks for VIEW and EDIT access.
- Replaced project-based access validation with permission-based checks.
- Enhanced tests to cover new permission logic and ensure proper access control for files associated with agents.
- Cleaned up imports and initialized models in test files for consistency.

refactor: Enhance test setup and cleanup for file access control

- Introduced modelsToCleanup array to track models added during tests for proper cleanup.
- Updated afterAll hooks in test files to ensure all collections are cleared and only added models are deleted.
- Improved consistency in model initialization across test files.
- Added comments for clarity on cleanup processes and test data management.

chore: Update Jest configuration and test setup for improved timeout handling

- Added a global test timeout of 30 seconds in jest.config.js.
- Configured jest.setTimeout in jestSetup.js to allow individual test overrides if needed.
- Enhanced test reliability by ensuring consistent timeout settings across all tests.

refactor: Implement file access filtering based on agent permissions

- Introduced `filterFilesByAgentAccess` function to filter files based on user access through agents.
- Updated `getFiles` and `primeFiles` functions to utilize the new filtering logic.
- Moved `hasAccessToFilesViaAgent` function from the File model to permission services, adjusting imports accordingly
- Enhanced tests to ensure proper access control and filtering behavior for files associated with agents.

fix: make support_contact field a nested object rather than a sub-document

refactor: Update support_contact field initialization in agent model

- Removed handling for empty support_contact object in createAgent function.
- Changed default value of support_contact in agent schema to undefined.

test: Add comprehensive tests for support_contact field handling and versioning

refactor: remove unused avatar upload mutation field and add informational toast for success

chore: add missing SidePanelProvider for AgentMarketplace and organize imports

fix: resolve agent selection race condition in marketplace HandleStartChat
- Set agent in localStorage before newConversation to prevent useSelectorEffects from auto-selecting previous agent

fix: resolve agent dropdown showing raw ID instead of agent info from URL

  - Add proactive agent fetching when agent_id is present in URL parameters
  - Inject fetched agent into agents cache so dropdowns display proper name/avatar
  - Use useAgentsMap dependency to ensure proper cache initialization timing
  - Prevents raw agent IDs from showing in UI when visiting shared agent links

Fix: Agents endpoint renamed to "My Agent" for less confusion with the Marketplace agents.

chore: fix ESLint issues and Test Mocks

ci: update permissions structure in loadDefaultInterface tests

- Refactored permissions for MEMORY and added new permissions for MARKETPLACE and PEOPLE_PICKER.
- Ensured consistent structure for permissions across different types.

feat:  support_contact validation to allow empty email strings
2025-08-13 16:24:18 -04:00

354 lines
14 KiB
YAML

# For more information, see the Configuration Guide:
# https://www.librechat.ai/docs/configuration/librechat_yaml
# Configuration version (required)
version: 1.2.1
# Cache settings: Set to true to enable caching
cache: true
# File strategy s3/firebase
# fileStrategy: "s3"
# Custom interface configuration
interface:
customWelcome: 'Welcome to LibreChat! Enjoy your experience.'
# 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: true
# Privacy policy settings
privacyPolicy:
externalUrl: 'https://librechat.ai/privacy-policy'
openNewTab: true
# Terms of service
termsOfService:
externalUrl: 'https://librechat.ai/tos'
openNewTab: true
modalAcceptance: true
modalTitle: 'Terms of Service for LibreChat'
modalContent: |
# Terms and Conditions for LibreChat
*Effective Date: February 18, 2024*
Welcome to LibreChat, the informational website for the open-source AI chat platform, available at https://librechat.ai. These Terms of Service ("Terms") govern your use of our website and the services we offer. By accessing or using the Website, you agree to be bound by these Terms and our Privacy Policy, accessible at https://librechat.ai//privacy.
## 1. Ownership
Upon purchasing a package from LibreChat, you are granted the right to download and use the code for accessing an admin panel for LibreChat. While you own the downloaded code, you are expressly prohibited from reselling, redistributing, or otherwise transferring the code to third parties without explicit permission from LibreChat.
## 2. User Data
We collect personal data, such as your name, email address, and payment information, as described in our Privacy Policy. This information is collected to provide and improve our services, process transactions, and communicate with you.
## 3. Non-Personal Data Collection
The Website uses cookies to enhance user experience, analyze site usage, and facilitate certain functionalities. By using the Website, you consent to the use of cookies in accordance with our Privacy Policy.
## 4. Use of the Website
You agree to use the Website only for lawful purposes and in a manner that does not infringe the rights of, restrict, or inhibit anyone else's use and enjoyment of the Website. Prohibited behavior includes harassing or causing distress or inconvenience to any person, transmitting obscene or offensive content, or disrupting the normal flow of dialogue within the Website.
## 5. Governing Law
These Terms shall be governed by and construed in accordance with the laws of the United States, without giving effect to any principles of conflicts of law.
## 6. Changes to the Terms
We reserve the right to modify these Terms at any time. We will notify users of any changes by email. Your continued use of the Website after such changes have been notified will constitute your consent to such changes.
## 7. Contact Information
If you have any questions about these Terms, please contact us at contact@librechat.ai.
By using the Website, you acknowledge that you have read these Terms of Service and agree to be bound by them.
endpointsMenu: true
modelSelect: true
parameters: true
sidePanel: true
presets: true
prompts: true
bookmarks: true
multiConvo: true
agents: true
peoplePicker:
admin:
users: true
groups: true
user:
users: false
groups: false
marketplace:
admin:
use: false # Enable marketplace mode for admin role
user:
use: false # Enable marketplace mode for user role
fileCitations: true
# Temporary chat retention period in hours (default: 720, min: 1, max: 8760)
# temporaryChatRetention: 1
# 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: false # 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) Maximum total citations to include in agent responses, defaults to 30
# maxCitations: 30
# # (optional) Maximum citations per file to include in agent responses, defaults to 7
# maxCitationsPerFile: 7
# # (optional) Minimum relevance score for sources to be included in responses, defaults to 0.45 (45% relevance threshold)
# # Set to 0.0 to show all sources (no filtering), or higher like 0.7 for stricter filtering
# minRelevanceScore: 0.45
# # (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:
# Groq Example
- name: 'groq'
apiKey: '${GROQ_API_KEY}'
baseURL: 'https://api.groq.com/openai/v1/'
models:
default:
[
'llama3-70b-8192',
'llama3-8b-8192',
'llama2-70b-4096',
'mixtral-8x7b-32768',
'gemma-7b-it',
]
fetch: false
titleConvo: true
titleModel: 'mixtral-8x7b-32768'
modelDisplayLabel: 'groq'
# Mistral AI Example
- name: 'Mistral' # Unique name for the endpoint
# For `apiKey` and `baseURL`, you can use environment variables that you define.
# recommended environment variables:
apiKey: '${MISTRAL_API_KEY}'
baseURL: 'https://api.mistral.ai/v1'
# Models configuration
models:
# List of default models to use. At least one value is required.
default: ['mistral-tiny', 'mistral-small', 'mistral-medium']
# Fetch option: Set to true to fetch models from API.
fetch: true # Defaults to false.
# Optional configurations
# Title Conversation setting
titleConvo: true # Set to true to enable title conversation
# Title Method: Choose between "completion" or "functions".
# titleMethod: "completion" # Defaults to "completion" if omitted.
# Title Model: Specify the model to use for titles.
titleModel: 'mistral-tiny' # Defaults to "gpt-3.5-turbo" if omitted.
# Summarize setting: Set to true to enable summarization.
# summarize: false
# Summary Model: Specify the model to use if summarization is enabled.
# summaryModel: "mistral-tiny" # Defaults to "gpt-3.5-turbo" if omitted.
# Force Prompt setting: If true, sends a `prompt` parameter instead of `messages`.
# forcePrompt: false
# The label displayed for the AI model in messages.
modelDisplayLabel: 'Mistral' # Default is "AI" when not set.
# Add additional parameters to the request. Default params will be overwritten.
# addParams:
# safe_prompt: true # This field is specific to Mistral AI: https://docs.mistral.ai/api/
# Drop Default params parameters from the request. See default params in guide linked below.
# NOTE: For Mistral, it is necessary to drop the following parameters or you will encounter a 422 Error:
dropParams: ['stop', 'user', 'frequency_penalty', 'presence_penalty']
# OpenRouter Example
- name: 'OpenRouter'
# For `apiKey` and `baseURL`, you can use environment variables that you define.
# recommended environment variables:
apiKey: '${OPENROUTER_KEY}'
baseURL: 'https://openrouter.ai/api/v1'
models:
default: ['meta-llama/llama-3-70b-instruct']
fetch: true
titleConvo: true
titleModel: 'meta-llama/llama-3-70b-instruct'
# Recommended: Drop the stop parameter from the request as Openrouter models use a variety of stop tokens.
dropParams: ['stop']
modelDisplayLabel: 'OpenRouter'
# Portkey AI Example
- name: 'Portkey'
apiKey: 'dummy'
baseURL: 'https://api.portkey.ai/v1'
headers:
x-portkey-api-key: '${PORTKEY_API_KEY}'
x-portkey-virtual-key: '${PORTKEY_OPENAI_VIRTUAL_KEY}'
models:
default: ['gpt-4o-mini', 'gpt-4o', 'chatgpt-4o-latest']
fetch: true
titleConvo: true
titleModel: 'current_model'
summarize: false
summaryModel: 'current_model'
forcePrompt: false
modelDisplayLabel: 'Portkey'
iconURL: https://images.crunchbase.com/image/upload/c_pad,f_auto,q_auto:eco,dpr_1/rjqy7ghvjoiu4cd1xjbf
# fileConfig:
# endpoints:
# assistants:
# 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:
# 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