* WIP: app.locals refactoring
WIP: appConfig
fix: update memory configuration retrieval to use getAppConfig based on user role
fix: update comment for AppConfig interface to clarify purpose
🏷️ refactor: Update tests to use getAppConfig for endpoint configurations
ci: Update AppService tests to initialize app config instead of app.locals
ci: Integrate getAppConfig into remaining tests
refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests
refactor: Rename initializeAppConfig to setAppConfig and update related tests
ci: Mock getAppConfig in various tests to provide default configurations
refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests
chore: rename `Config/getAppConfig` -> `Config/app`
fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters
chore: correct parameter documentation for imageOutputType in ToolService.js
refactor: remove `getCustomConfig` dependency in config route
refactor: update domain validation to use appConfig for allowed domains
refactor: use appConfig registration property
chore: remove app parameter from AppService invocation
refactor: update AppConfig interface to correct registration and turnstile configurations
refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services
refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files
refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type
refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration
ci: update related tests
refactor: update getAppConfig call in getCustomConfigSpeech to include user role
fix: update appConfig usage to access allowedDomains from actions instead of registration
refactor: enhance AppConfig to include fileStrategies and update related file strategy logic
refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions
chore: remove deprecated unused RunManager
refactor: get balance config primarily from appConfig
refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic
refactor: remove getCustomConfig usage and use app config in file citations
refactor: consolidate endpoint loading logic into loadEndpoints function
refactor: update appConfig access to use endpoints structure across various services
refactor: implement custom endpoints configuration and streamline endpoint loading logic
refactor: update getAppConfig call to include user role parameter
refactor: streamline endpoint configuration and enhance appConfig usage across services
refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file
refactor: add type annotation for loadedEndpoints in loadEndpoints function
refactor: move /services/Files/images/parse to TS API
chore: add missing FILE_CITATIONS permission to IRole interface
refactor: restructure toolkits to TS API
refactor: separate manifest logic into its own module
refactor: consolidate tool loading logic into a new tools module for startup logic
refactor: move interface config logic to TS API
refactor: migrate checkEmailConfig to TypeScript and update imports
refactor: add FunctionTool interface and availableTools to AppConfig
refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`
WIP: fix tests
* fix: rebase conflicts
* refactor: remove app.locals references
* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware
* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients
* test: add balance configuration to titleConvo method in AgentClient tests
* chore: remove unused `openai-chat-tokens` package
* chore: remove unused imports in initializeMCPs.js
* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig
* refactor: integrate configMiddleware for centralized configuration handling
* refactor: optimize email domain validation by removing unnecessary async calls
* refactor: simplify multer storage configuration by removing async calls
* refactor: reorder imports for better readability in user.js
* refactor: replace getAppConfig calls with req.config for improved performance
* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling
* chore: remove unused override config
* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config
* chore: remove customConfig parameter from TTSService constructor
* refactor: pass appConfig from request to processFileCitations for improved configuration handling
* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`
* test: add mockAppConfig to processFileCitations tests for improved configuration handling
* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor
* fix: type safety in useExportConversation
* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached
* chore: change `MongoUser` typedef to `IUser`
* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest
* fix: remove unused setAppConfig mock from Server configuration tests
* refactor: move model definitions and database-related methods to packages/data-schemas
* ci: update tests due to new DB structure
fix: disable mocking `librechat-data-provider`
feat: Add schema exports to data-schemas package
- Introduced a new schema module that exports various schemas including action, agent, and user schemas.
- Updated index.ts to include the new schema exports for better modularity and organization.
ci: fix appleStrategy tests
fix: Agent.spec.js
ci: refactor handleTools tests to use MongoMemoryServer for in-memory database
fix: getLogStores imports
ci: update banViolation tests to use MongoMemoryServer and improve session mocking
test: refactor samlStrategy tests to improve mock configurations and user handling
ci: fix crypto mock in handleText tests for improved accuracy
ci: refactor spendTokens tests to improve model imports and setup
ci: refactor Message model tests to use MongoMemoryServer and improve database interactions
* refactor: streamline IMessage interface and move feedback properties to types/message.ts
* refactor: use exported initializeRoles from `data-schemas`, remove api workspace version (this serves as an example of future migrations that still need to happen)
* refactor: update model imports to use destructuring from `~/db/models` for consistency and clarity
* refactor: remove unused mongoose imports from model files for cleaner code
* refactor: remove unused mongoose imports from Share, Prompt, and Transaction model files for cleaner code
* refactor: remove unused import in Transaction model for cleaner code
* ci: update deploy workflow to reference new Docker Dev Branch Images Build and add new workflow for building Docker images on dev branch
* chore: cleanup imports
* 🚀 feat: Add automatic refill settings to balance schema
* 🚀 feat: Refactor balance feature to use global interface configuration
* 🚀 feat: Implement auto-refill functionality for balance management
* 🚀 feat: Enhance auto-refill logic and configuration for balance management
* 🚀 chore: Bump version to 0.7.74 in package.json and package-lock.json
* 🚀 chore: Bump version to 0.0.5 in package.json and package-lock.json
* 🚀 docs: Update comment for balance settings in librechat.example.yaml
* chore: space in `.env.example`
* 🚀 feat: Implement balance configuration loading and refactor related components
* 🚀 test: Refactor tests to use custom config for balance feature
* 🚀 fix: Update balance response handling in Transaction.js to use Balance model
* 🚀 test: Update AppService tests to include balance configuration in mock setup
* 🚀 test: Enhance AppService tests with complete balance configuration scenarios
* 🚀 refactor: Rename balanceConfig to balance and update related tests for clarity
* 🚀 refactor: Remove loadDefaultBalance and update balance handling in AppService
* 🚀 test: Update AppService tests to reflect new balance structure and defaults
* 🚀 test: Mock getCustomConfig in BaseClient tests to control balance configuration
* 🚀 test: Add get method to mockCache in OpenAIClient tests for improved cache handling
* 🚀 test: Mock getCustomConfig in OpenAIClient tests to control balance configuration
* 🚀 test: Remove mock for getCustomConfig in OpenAIClient tests to streamline configuration handling
* 🚀 fix: Update balance configuration reference in config.js for consistency
* refactor: Add getBalanceConfig function to retrieve balance configuration
* chore: Comment out example balance settings in librechat.example.yaml
* refactor: Replace getCustomConfig with getBalanceConfig for balance handling
* fix: tests
* refactor: Replace getBalanceConfig call with balance from request locals
* refactor: Update balance handling to use environment variables for configuration
* refactor: Replace getBalanceConfig calls with balance from request locals
* refactor: Simplify balance configuration logic in getBalanceConfig
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* feat: Refactor ModelEndHandler to collect usage metadata only if it exists
* feat: google tool end handling, custom anthropic class for better token ux
* refactor: differentiate between client <> request options
* feat: initial support for google agents
* feat: only cache messages with non-empty text
* feat: Cache non-empty messages in chatV2 controller
* fix: anthropic llm client options llmConfig
* refactor: streamline client options handling in LLM configuration
* fix: VertexAI Agent Auth & Tool Handling
* fix: additional fields for llmConfig, however customHeaders are not supported by langchain, requires PR
* feat: set default location for vertexai LLM configuration
* fix: outdated OpenAI Client options for getLLMConfig
* chore: agent provider options typing
* chore: add note about currently unsupported customHeaders in langchain GenAI client
* fix: skip transaction creation when rawAmount is NaN
