* chore: Bump @modelcontextprotocol/sdk to version 1.24.3
* refactor: Update resource handling in MCP parsers and types
- Simplified resource text checks in `parseAsString` and `formatToolContent` functions to ensure proper existence checks.
- Removed unnecessary resource name and description handling to streamline output.
- Updated type definitions in `index.ts` to align with the new structure from `@modelcontextprotocol/sdk`, enhancing type safety and clarity.
- Added `logo_uri` and `tos_uri` properties to `MCPOAuthHandler` for improved OAuth metadata support.
* refactor: Update custom endpoint configurations and type definitions
- Removed unused type imports and streamlined the custom parameters handling in `loadCustomEndpointsConfig`.
- Adjusted the `TCustomEndpointsConfig` type to utilize `TConfig` instead of `TEndpoint`, enhancing type accuracy.
- Made the endpoint schema optional in the configuration to improve flexibility.
* fix: Implement token cleanup and error handling for invalid OAuth tokens
- Added `cleanupInvalidTokens` method to remove invalid OAuth tokens from storage when detected.
- Introduced `isInvalidTokenError` method to identify errors indicating revoked or expired tokens.
- Integrated token cleanup logic into the connection attempt process to ensure fresh OAuth flow on invalid token detection.
* feat: Add revoke OAuth functionality in Server Initialization
- Introduced a new button to revoke OAuth for servers, enhancing user control over OAuth permissions.
- Updated the `useMCPServerManager` hook to include a standalone `revokeOAuthForServer` function for managing OAuth revocation.
- Adjusted the UI to conditionally render the revoke button based on server requirements.
* fix: error handling for authentication in MCPConnection
- Updated the error handling logic in MCPConnection to better identify various authentication error indicators, including 401 status, invalid tokens, and unauthorized messages.
- Removed the deprecated cleanupInvalidTokens method and integrated its logic into the connection attempt process for improved clarity and efficiency.
- Adjusted the MCPConnectionFactory to streamline the connection attempt process and handle OAuth errors more effectively.
* refactor: Update button rendering in ServerInitializationSection
- Removed the existing button for server initialization and replaced it with a new button implementation, maintaining the same functionality.
- Ensured consistent rendering of the button within the component's layout.
* chore: update resource type usage in parsers.test.ts
* refactor: move endpoint initialization methods to typescript
* refactor: move agent init to packages/api
- Introduced `initialize.ts` for agent initialization, including file processing and tool loading.
- Updated `resources.ts` to allow optional appConfig parameter.
- Enhanced endpoint configuration handling in various initialization files to support model parameters.
- Added new artifacts and prompts for React component generation.
- Refactored existing code to improve type safety and maintainability.
* refactor: streamline endpoint initialization and enhance type safety
- Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`.
- Simplified request handling by directly extracting keys from the request body.
- Improved type safety by ensuring user IDs are safely accessed with optional chaining.
- Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability.
* refactor: moved ModelService and extractBaseURL to packages/api
- Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models.
- Updated existing endpoint index to include the new models module.
- Enhanced utility functions for URL extraction and model data processing.
- Improved type safety and error handling across the models fetching logic.
* refactor: consolidate utility functions and remove unused files
- Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization.
- Removed redundant utility files and their associated tests to streamline the codebase.
- Updated imports across various client files to utilize the new consolidated functions.
- Enhanced overall maintainability by reducing the number of utility modules.
* refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file
* refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api`
* chore: remove unused 'res' from options in AgentClient
* refactor: file model imports and methods
- Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'.
- Consolidated file-related methods into a new file methods module in the data-schemas package.
- Added comprehensive tests for file methods including creation, retrieval, updating, and deletion.
- Enhanced the initializeAgent function to accept dependency injection for file-related methods.
- Improved error handling and logging in file methods.
* refactor: streamline database method references in agent initialization
* refactor: enhance file method tests and update type references to IMongoFile
* refactor: consolidate database method imports in agent client and initialization
* chore: remove redundant import of initializeAgent from @librechat/api
* refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints
* refactor: move updateUserPlugins logic to user.ts and simplify UserController
* refactor: update imports for user key management and remove UserService
* refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports
* refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas
* chore: update file model mock to use unified import from '~/models'
* chore: import order
* refactor: remove migrated to TS agent.js file and its associated logic from the endpoints
* chore: add reusable function to extract imports from source code in unused-packages workflow
* chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction
* chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output
* chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists
* chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports
* chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts
* 🔧 fix: Gemini as Custom Endpoint Auth. Error for OAI-compatible API
* refactor: Google Compatibility in OpenAI Config
- Added a test to ensure `googleSearch` is filtered out when `web_search` is only present in `modelOptions`, not in `addParams` or `defaultParams`.
- Updated `transformToOpenAIConfig` to preserve `googleSearch` tools if `web_search` is explicitly enabled via `addParams` or `defaultParams`.
- Refactored the filtering logic for Google-specific tools to accommodate the new behavior.
* 📐 refactor: Exclude Params from OAI Reasoning Models
- Introduced a new test suite for `getOpenAILLMConfig` covering various model configurations, including basic settings, reasoning models, and web search functionality.
- Validated parameter handling for different models, ensuring correct exclusions and conversions, particularly for temperature and max_tokens.
- Enhanced tests for default and additional parameters, drop parameters, and verbosity handling, ensuring robust coverage of the configuration logic.
* ci: Update OpenAI model version in configuration tests
- Changed model references from 'gpt-5' to 'gpt-4' across multiple test cases in the `getOpenAIConfig` function.
- Adjusted related parameter handling to ensure compatibility with the updated model version, including maxTokens and temperature settings.
- Enhanced test coverage for model options and their expected configurations.
* 🤖 feat: Claude Opus 4.5 Token Rates and Window Limits
- Introduced new model 'claude-opus-4-5' with defined prompt and completion values in tokenValues and cacheTokenValues.
- Updated tests to validate prompt, completion, and cache rates for the new model.
- Enhanced model name handling to accommodate variations for 'claude-opus-4-5' across different contexts.
- Adjusted schemas to ensure correct max output token limits for the new model.
* ci: Add tests for "prompt-caching" beta header in Claude Opus 4.5 models
- Implemented tests to verify the addition of the "prompt-caching" beta header for the 'claude-opus-4-5' model and its variations.
- Updated future-proofing logic to ensure correct max token limits for Claude 4.x and 5.x Opus models, adjusting defaults to 64K where applicable.
- Enhanced existing tests to reflect changes in expected max token values for future Claude models.
* chore: Remove redundant max output check for Anthropic settings
- Eliminated the unnecessary check for ANTHROPIC_MAX_OUTPUT in the anthropicSettings schema, streamlining the logic for handling max output values.
* feat: add support for known/add/drop parameters in Anthropic and Google LLM configurations
* ci: add tests for web search support for Anthropic and Google configurations with addParams and dropParams handling
* feat: add filterFilesByEndpointConfig to filter disabled file processing by provider
* chore: explicit define of endpointFileConfig for better debugging
* refactor: move `normalizeEndpointName` to data-provider as used app-wide
* chore: remove overrideEndpoint from useFileHandling
* refactor: improve endpoint file config selection
* refactor: update filterFilesByEndpointConfig to accept structured parameters and improve endpoint file config handling
* refactor: replace defaultFileConfig with getEndpointFileConfig for improved file configuration handling across components
* test: add comprehensive unit tests for getEndpointFileConfig to validate endpoint configuration handling
* refactor: streamline agent endpoint assignment and improve file filtering logic
* feat: add error handling for disabled file uploads in endpoint configuration
* refactor: update encodeAndFormat functions to accept structured parameters for provider and endpoint
* refactor: streamline requestFiles handling in initializeAgent function
* fix: getEndpointFileConfig partial config merging scenarios
* refactor: enhance mergeWithDefault function to support document-supported providers with comprehensive MIME types
* refactor: user-configured default file config in getEndpointFileConfig
* fix: prevent file handling when endpoint is disabled and file is dragged to chat
* refactor: move `getEndpointField` to `data-provider` and update usage across components and hooks
* fix: prioritize endpointType based on agent.endpoint in file filtering logic
* fix: prioritize agent.endpoint in file filtering logic and remove unnecessary endpointType defaulting
* feat: Add support for agent handoffs with edges in agent forms and schemas
chore: Mark `agent_ids` field as deprecated in favor of edges across various schemas and types
chore: Update dependencies for @langchain/core and @librechat/agents to latest versions
chore: Update peer dependency for @librechat/agents to version 3.0.0-rc2 in package.json
chore: Update @librechat/agents dependency to version 3.0.0-rc3 in package.json and package-lock.json
feat: first pass, multi-agent handoffs
fix: update output type to ToolMessage in memory handling functions
fix: improve type checking for graphConfig in createRun function
refactor: remove unused content filtering logic in AgentClient
chore: update @librechat/agents dependency to version 3.0.0-rc4 in package.json and package-lock.json
fix: update @langchain/core peer dependency version to ^0.3.72 in package.json and package-lock.json
fix: update @librechat/agents dependency to version 3.0.0-rc6 in package.json and package-lock.json; refactor stream rate handling in various endpoints
feat: Agent handoff UI
chore: update @librechat/agents dependency to version 3.0.0-rc8 in package.json and package-lock.json
fix: improve hasInfo condition and adjust UI element classes in AgentHandoff component
refactor: remove current fixed agent display from AgentHandoffs component due to redundancy
feat: enhance AgentHandoffs UI with localized beta label and improved layout
chore: update @librechat/agents dependency to version 3.0.0-rc10 in package.json and package-lock.json
feat: add `createSequentialChainEdges` function to add back agent chaining via multi-agents
feat: update `createSequentialChainEdges` call to only provide conversation context between agents
feat: deprecate Agent Chain functionality and update related methods for improved clarity
* chore: update @librechat/agents dependency to version 3.0.0-rc11 in package.json and package-lock.json
* refactor: remove unused addCacheControl function and related imports and import from @librechat/agents
* chore: remove unused i18n keys
* refactor: remove unused format export from index.ts
* chore: update @librechat/agents to v3.0.0-rc13
* chore: remove BEDROCK_LEGACY provider from Providers enum
* chore: update @librechat/agents to version 3.0.2 in package.json
* 🌐 feat: OpenRouter Web Search
- Added tests for handling web_search parameter with OpenRouter in various scenarios.
- Implemented logic to manage web_search in modelOptions and addParams/dropParams.
- Ensured correct configuration of llmConfig and modelKwargs for OpenRouter, including handling of plugins.
- Improved overall integration of OpenRouter with OpenAI API, ensuring expected behavior across different configurations.
* chore: bump @librechat/agents to v2.4.81
- Added tests to validate behavior of web_search parameter in getOpenAIConfig function.
- Implemented logic to handle web_search in addParams and dropParams, ensuring correct precedence and behavior.
- Ensured web_search does not appear in modelKwargs or llmConfig when not applicable.
- Improved overall configuration management for OpenAI API integration.
* refactor: modularize openai llm config logic into new getOpenAILLMConfig function (#9412)
* ✈️ refactor: Migrate Anthropic's getLLMConfig to TypeScript (#9413)
* refactor: move tokens.js over to packages/api and update imports
* refactor: port tokens.js to typescript
* refactor: move helpers.js over to packages/api and update imports
* refactor: port helpers.js to typescript
* refactor: move anthropic/llm.js over to packages/api and update imports
* refactor: port anthropic/llm.js to typescript with supporting types in types/anthropic.ts and updated tests in llm.spec.js
* refactor: move llm.spec.js over to packages/api and update import
* refactor: port llm.spec.js over to typescript
* 📝 Add Prompt Parameter Support for Anthropic Custom Endpoints (#9414)
feat: add anthropic llm config support for openai-like (custom) endpoints
* fix: missed compiler / type issues from addition of getAnthropicLLMConfig
* refactor: update tokens.ts to export constants and functions, enhance type definitions, and adjust default values
* WIP: first pass, decouple `llmConfig` from `configOptions`
* chore: update import path for OpenAI configuration from 'llm' to 'config'
* refactor: enhance type definitions for ThinkingConfig and update modelOptions in AnthropicConfigOptions
* refactor: cleanup type, introduce openai transform from alt provider
* chore: integrate removeNullishValues in Google llmConfig and update OpenAI exports
* chore: bump version of @librechat/api to 1.3.5 in package.json and package-lock.json
* refactor: update customParams type in OpenAIConfigOptions to use TConfig['customParams']
* refactor: enhance transformToOpenAIConfig to include fromEndpoint and improve config extraction
* refactor: conform userId field for anthropic/openai, cleanup anthropic typing
* ci: add backward compatibility tests for getOpenAIConfig with various endpoints and configurations
* ci: replace userId with user in clientOptions for getLLMConfig
* test: add Azure OpenAI endpoint tests for various configurations in getOpenAIConfig
* refactor: defaultHeaders retrieval for prompt caching for anthropic-based custom endpoint (litellm)
* test: add unit tests for getOpenAIConfig with various Anthropic model configurations
* test: enhance Anthropic compatibility tests with addParams and dropParams handling
* chore: update @librechat/agents dependency to version 2.4.78 in package.json and package-lock.json
* chore: update @librechat/agents dependency to version 2.4.79 in package.json and package-lock.json
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* fix: freq. and pres. penalty use camelcase
* ci: OpenAI Configuration Tests
* ci: Enhance OpenAI Configuration Tests with Azure and Custom Endpoint Scenarios
* Added integration tests for OpenAI and Azure configurations simulating various initialization scenarios.
* Updated OpenAIConfigOptions to allow null values for reverseProxyUrl and proxy.
* Improved handling of reasoning parameters in tests for both OpenAI and Azure setups.
* Ensured robust error handling for missing API keys and malformed configurations.
* Optimized performance for large parameter sets in configuration.
* test: Add comprehensive integration tests for Anthropic LLM configuration
* Introduced real usage integration tests for various Anthropic endpoint configurations, including handling of proxy and reverse proxy setups.
* Implemented model-specific scenarios for Claude-3.7 and web search functionality.
* Enhanced error handling for missing user IDs and large parameter sets.
* Validated parameter logic, including default values, boundary conditions, and type handling for numeric and array parameters.
* Ensured proper exclusion of system options from model options and maintained expected behavior across different model variations.
* 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
* feat: Add directEndpoint option to OpenAIConfigOptions and update fetch logic to override /chat/completions URL
* feat: Add directEndpoint support to fetchModels and update loadConfigModels logic
* feat: Add conversation ID support to custom endpoint headers
- Add LIBRECHAT_CONVERSATION_ID to customUserVars when provided
- Pass conversation ID to header resolution for dynamic headers
- Add comprehensive test coverage
Enables custom endpoints to access conversation context using {{LIBRECHAT_CONVERSATION_ID}} placeholder.
* fix: filter out unresolved placeholders from headers (thanks @MrunmayS)
* feat: add support for request body placeholders in custom endpoint headers
- Add {{LIBRECHAT_BODY_*}} placeholders for conversationId, parentMessageId, messageId
- Update tests to reflect new body placeholder functionality
* refactor resolveHeaders
* style: minor styling cleanup
* fix: type error in unit test
* feat: add body to other endpoints
* feat: add body for mcp tool calls
* chore: remove changes that unnecessarily increase scope after clarification of requirements
* refactor: move http.ts to packages/api and have RequestBody intersect with Express request body
* refactor: processMCPEnv now uses single object argument pattern
* refactor: update processMCPEnv to use 'options' parameter and align types across MCP connection classes
* feat: enhance MCP connection handling with dynamic request headers to pass request body fields
---------
Co-authored-by: Gopal Sharma <gopalsharma@gopal.sharma1>
Co-authored-by: s10gopal <36487439+s10gopal@users.noreply.github.com>
Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
* WIP: Verbosity OpenAI Parameter
* 🔧 chore: remove unused import of extractEnvVariable from parsers.ts
* ✨ feat: add comprehensive tests for getOpenAIConfig and enhance verbosity handling
* fix: Handling for maxTokens in GPT-5+ models and add corresponding tests
* feat: Implement GPT-5+ model handling in processMemory function
- Updated the Google configuration and related schemas to replace 'grounding' with 'web_search' for consistency.
- Adjusted the logic in the getGoogleConfig function to reflect the new naming convention.
- Ensured all references in parameter settings and conversation schemas are updated accordingly.
* 🔍 feat: Introduce Web Search Functionality for OpenAI API
- Added a new web_search parameter to enable web search capabilities in the OpenAI configuration.
- Updated the DynamicSlider component for improved styling.
- Enhanced the useSetIndexOptions hook to auto-enable the Responses API when web search is activated.
- Modified relevant schemas, types, and translation files to support the new web search feature.
* chore: remove comments
* refactor: tool handling in initializeAgent for better clarity and functionality and reflection of openai features
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* ✨ feat: Add Google Search Grounding Feature and Update Agent Tool Initialization
- Introduced a new grounding option in the Google configuration to enable real-time web search results.
- Updated the agent initialization to concatenate additional tools from options.
- Enhanced translation files to include descriptions for the new grounding feature.
- Modified relevant schemas and parameter settings to support the grounding functionality.
* 🔑 chore: Update @librechat/agents dependency to version 2.4.50
* ✅ fix: Ensure tools array is initialized before concatenation in initializeAgent function
* chore: Update version of librechat-data-provider to 0.7.899 and add GOOGLE_TOOL_CONFLICT error type
* fix: Adjust label class for better text wrapping in DynamicSwitch component
* fix: Handle Google tool conflict error and update error messages in translation
* fix: Restore grounding setting in googleCol2 configuration
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* chore: update @librechat/agents to v2.4.47
* WIP: temporary auto-toggle responses api for o1/o3-pro
* feat: Enable Responses API for OpenAI models
- Updated the OpenAI client initialization to check for the useResponsesApi parameter in model options.
- Added translations for enabling the Responses API in the UI.
- Introduced useResponsesApi parameter in data provider settings and schemas.
- Updated relevant schemas to include useResponsesApi for conversation and preset configurations.
* refactor: Remove useResponsesApi check from OpenAI client initialization and update translation for Responses API
- Removed the check for useResponsesApi in the OpenAI client initialization.
- Updated the translation for enabling the Responses API to clarify its functionality.
* chore: update @librechat/agents dependency to version 2.4.48
* chore: update @librechat/agents dependency to version 2.4.49
* chore: linting
* chore: linting
* feat: Enhance DynamicSlider and validation for enumMappings
- Added support for enumMappings in DynamicSlider to display values correctly based on enum settings.
- Implemented validation for enumMappings in the generate function to ensure all options have corresponding mappings.
- Added tests for handling empty string options and incomplete enumMappings in the generate.spec.ts file.
* feat: Enhance DynamicSlider localization support
- Added localization handling for mapped values in DynamicSlider when using enumMappings.
- Updated the logic to check if the mapped value is a localization key and return the localized string if applicable.
- Adjusted dependencies in useCallback hooks to include localize for proper functionality.
* feat: Add reasoning summary and effort options to OpenAI configuration and UI
* feat: Add enumMappings for ImageDetail options in parameter settings
* style: Improve styling for DynamicSlider component labels and inputs
* chore: Update reasoning effort description and parameter order for OpenAI params
---------
Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
* feat: support thinking budget parameter for Gemini 2.5 series (#6949, #7542)
https://ai.google.dev/gemini-api/docs/thinking#set-budget
* refactor: update thinking budget minimum value to -1 for dynamic thinking
- see: https://ai.google.dev/gemini-api/docs/thinking#set-budget
* chore: bump @librechat/agents to v2.4.43
* refactor: rename LLMConfigOptions to OpenAIConfigOptions for clarity and consistency
- Updated type definitions and references in initialize.ts, llm.ts, and openai.ts to reflect the new naming convention.
- Ensured that the OpenAI configuration options are consistently used across the relevant files.
* refactor: port Google LLM methods to TypeScript Package
* chore: update @librechat/agents version to 2.4.43 in package-lock.json and package.json
* refactor: update thinking budget description for clarity and adjust placeholder in parameter settings
* refactor: enhance googleSettings default value for thinking budget to support dynamic adjustment
* chore: update @librechat/agents to v2.4.44 for Vertex Dynamic Thinking workaround
* refactor: rename google config function, update `createRun` types, use `reasoning` as `reasoningKey` for Google
* refactor: simplify placeholder handling in DynamicInput component
* refactor: enhance thinking budget description for clarity and allow automatic decision by setting to "-1"
* refactor: update text styling in OptionHover component for improved readability
* chore: update @librechat/agents dependency to v2.4.46 in package.json and package-lock.json
* chore: update @librechat/api version to 1.2.5 in package.json and package-lock.json
* refactor: enhance `clientOptions` handling by filtering `omitTitleOptions`, add `json` field for Google models
---------
Co-authored-by: ciffelia <15273128+ciffelia@users.noreply.github.com>
* 🔧 refactor: move `processMCPEnv` from `librechat-data-provider` and move to `@librechat/api`
* 🔧 refactor: Update resolveHeaders import paths
* 🔧 refactor: Enhance resolveHeaders to support user and custom variables
- Updated resolveHeaders function to accept user and custom user variables for placeholder replacement.
- Modified header resolution in multiple client and controller files to utilize the enhanced resolveHeaders functionality.
- Added comprehensive tests for resolveHeaders to ensure correct processing of user and custom variables.
* 🔧 fix: Update user ID placeholder processing in env.ts
* 🔧 fix: Remove arguments passing this.user rather than req.user
- Updated multiple client and controller files to call resolveHeaders without the user parameter
* 🔧 refactor: Enhance processUserPlaceholders to be more readable / less nested
* 🔧 refactor: Update processUserPlaceholders to pass all tests in mpc.spec.ts and env.spec.ts
* chore: remove legacy ChatGPTClient
* chore: remove LLM initialization code
* chore: initial deprecation removal of `gptPlugins`
* chore: remove cohere-ai dependency from package.json and package-lock.json
* chore: update brace-expansion to version 2.0.2 and add license information
* chore: remove PluginsClient test file
* chore: remove legacy
* ci: remove deprecated sendMessage/getCompletion/chatCompletion tests
---------
Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
* chore: update peer dependency for @librechat/agents to version 2.4.41
* 🔧 chore: proxy handling in OpenAI endpoint to use undici
* 🔧 chore: update @anthropic-ai/sdk to version 0.52.0 and refactor proxy handling to use undici
* 🔧 chore: update globIgnores in vite.config.ts to exclude index.html from caching
* 🔧 ci: update proxy handling in getLLMConfig to use fetchOptions and ProxyAgent
* 🔧 chore: refactor proxy handling in Anthropic and OpenAI clients to use fetchOptions
* refactor: agent initialization to streamline model parameters and resendFiles handling
* chore: update @google/generative-ai to version 0.24.0
* 🧠 feat: User Memories for Conversational Context
chore: mcp typing, use `t`
WIP: first pass, Memories UI
- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.
chore: move mcp-related files to own directory
chore: rename librechat-mcp to librechat-api
WIP: first pass, memory processing and data schemas
chore: linting in fileSearch.js query description
chore: rename librechat-api to @librechat/api across the project
WIP: first pass, functional memory agent
feat: add MemoryEditDialog and MemoryViewer components for managing user memories
- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.
feat: add memory permissions management
- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.
feat: move AdminSettings component to a new position in MemoryViewer for better visibility
refactor: clean up commented code in MemoryViewer component
feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration
- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.
refactor: optimize memory filtering in MemoryViewer using match-sorter
- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.
feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling
feat: implement access control for MemoryEditDialog and MemoryViewer components
refactor: remove commented out code and create runMemory method
refactor: rename role based files
feat: implement access control for memory usage in AgentClient
refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code
refactor: make `agents` dir in api package
refactor: migrate Azure utilities to TypeScript and consolidate imports
refactor: move sanitizeFilename function to a new file and update imports, add related tests
refactor: update LLM configuration types and consolidate Azure options in the API package
chore: linting
chore: import order
refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file
chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json
refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports
refactor: move createRun function to a new run.ts file and update related imports
fix: ensure safeAttachments is correctly typed as an array of TFile
chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file
refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options
feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling
fix: update types due to new TEndpointOption typing
fix: ensure safe access to group parameters in initializeOpenAIOptions function
fix: remove redundant API key validation comment in initializeOpenAIOptions function
refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation
refactor: decouple req.body fields and tool loading from initializeAgentOptions
chore: linting
refactor: adjust column widths in MemoryViewer for improved layout
refactor: simplify agent initialization by creating loadAgent function and removing unused code
feat: add memory configuration loading and validation functions
WIP: first pass, memory processing with config
feat: implement memory callback and artifact handling
feat: implement memory artifacts display and processing updates
feat: add memory configuration options and schema validation for validKeys
fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements
refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling
WIP: initial tokenLimit config and move Tokenizer to @librechat/api
refactor: update mongoMeili plugin methods to use callback for better error handling
feat: enhance memory management with token tracking and usage metrics
- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.
feat: implement memory artifact handling in attachment handler
- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.
refactor: restructure web search key extraction logic
- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors
feat: add personalization settings and memory preferences management
- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.
style: personalization switch class
feat: add PersonalizationIcon and align Side Panel UI
feat: implement memory creation functionality
- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.
feat: enhance message processing with configurable window size
- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.
chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json
chore: remove OpenAPIPlugin and its associated tests
chore: remove MIGRATION_README.md as migration tasks are completed
ci: fix backend tests
chore: remove unused translation keys from localization file
chore: remove problematic test file and unused var in AgentClient
chore: remove unused import and import directly for JSDoc
* feat: add api package build stage in Dockerfile for improved modularity
* docs: reorder build steps in contributing guide for clarity
