* 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
* 🔧 chore: Update @librechat/agents to version 3.0.35
* ✨ feat: Add DeepSeek Model Pricing and Token Handling
- Introduced pricing and token limits for 'deepseek-chat' and 'deepseek-reasoner' models, including prompt and completion rates.
- Enhanced tests to validate pricing and token limits for DeepSeek models, ensuring correct handling of model variations and provider prefixes.
- Updated cache multipliers for DeepSeek models to reflect new pricing structure.
- Improved max output token handling for DeepSeek models, ensuring consistency across different endpoints.
* 🤖 feat: Latest Grok Model Pricing & Context Rates
- Introduced 'grok-4-fast', 'grok-4-1-fast', and 'grok-code-fast' models with their respective prompt and completion rates.
- Enhanced unit tests to validate prompt and completion rates for the new models, including variations with prefixes.
- Updated token limits for the new models in the tokens utility, ensuring accurate handling in tests.
* 🔧 refactor: Optimize JSON Export Logic in useExportConversation Hook
Updated the export logic to create a Blob from the JSON string before downloading, improving compatibility and performance for file downloads. This change enhances the handling of deeply nested exports while maintaining the file size reduction achieved in previous updates.
* 🤖 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 model in token configurations and tests
* chore: Update @librechat/agents to version 3.0.26 in package.json and package-lock.json
* updated gpt5-pro
it is here and on openrouter
https://platform.openai.com/docs/models/gpt-5-pro
* feat: Add gpt-5-pro pricing
- Implemented handling for the new gpt-5-pro model in the getValueKey function.
- Updated tests to ensure correct behavior for gpt-5-pro across various scenarios.
- Adjusted token limits and multipliers for gpt-5-pro in the tokens utility files.
- Enhanced model matching functionality to include gpt-5-pro variations.
* refactor: optimize model pricing and validation logic
- Added new model pricing entries for llama2, llama3, and qwen variants in tx.js.
- Updated tokenValues to include additional models and their pricing structures.
- Implemented validation tests in tx.spec.js to ensure all models resolve correctly to pricing.
- Refactored getValueKey function to improve model matching and resolution efficiency.
- Removed outdated model entries from tokens.ts to streamline pricing management.
* fix: add missing pricing
* chore: update model pricing for qwen and gemma variants
* chore: update model pricing and add validation for context windows
- Removed outdated model entries from tx.js and updated tokenValues with new models.
- Added a test in tx.spec.js to ensure all models with pricing have corresponding context windows defined in tokens.ts.
- Introduced 'command-text' model pricing in tokens.ts to maintain consistency across model definitions.
* chore: update model names and pricing for AI21 and Amazon models
- Refactored model names in tx.js for AI21 and Amazon models to remove versioning and improve consistency.
- Updated pricing values in tokens.ts to reflect the new model names.
- Added comprehensive tests in tx.spec.js to validate pricing for both short and full model names across AI21 and Amazon models.
* feat: add pricing and validation for Claude Haiku 4.5 model
* chore: increase default max context tokens to 18000 for agents
* feat: add Qwen3 model pricing and validation tests
* chore: reorganize and update Qwen model pricing in tx.js and tokens.ts
---------
Co-authored-by: khfung <68192841+khfung@users.noreply.github.com>
* fix: update @librechat/agents to v2.4.83 to handle reasoning edge case encountered with GLM models
* feat: GLM Context Window & Pricing Support
* feat: Add support for glm4 model in token values and tests
* 🧹 chore: Update logger imports to use @librechat/data-schemas across multiple files and remove unused sleep function from queue.js (#9930)
* chore: Replace local isEnabled utility with @librechat/api import across multiple files, update test files
* chore: Replace local logger import with @librechat/data-schemas logger in countTokens.js and fork.js
* chore: Update logs volume path in docker-compose.yml to correct directory
* chore: import order of isEnabled in static.js
* 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>
* adding beta header context-1m-2025-08-07 to claude sonnet 4 to increase contact window to 1M tokens
* adding context-1m beta header to test cases
* ci: Update Anthropic `getLLMConfig` tests and headers for model variations
- Refactored test cases to ensure proper handling of model variations for 'claude-sonnet-4'.
- Cleaned up unused mock implementations in tests for better clarity and performance.
* refactor: regex in header retrieval for 'claude-sonnet-4' models
* refactor: default tokens for 'claude-sonnet-4' to `1,000,000`
* refactor: add token value retrieval and pattern matching to model tests
---------
Co-authored-by: Dirk Petersen <no-reply@nowhere.com>
* feat: Add configurable retention period for temporary chats
* Addressing eslint errors
* Fix: failing test due to missing registration
* Update: variable name and use hours instead of days for chat retention
* Addressing comments
* chore: fix import order in Conversation.js
* chore: import order in Message.js
* chore: fix import order in config.ts
* chore: move common methods to packages/api to reduce potential for circular dependencies
* refactor: update temp chat retention config type to Partial<TCustomConfig>
* refactor: remove unused config variable from AppService and update loadCustomConfig tests with logger mock
* refactor: handle model undefined edge case by moving Session model initialization inside methods
---------
Co-authored-by: Rakshit Tiwari <rak1729e@gmail.com>
* 👁️ feat: Add Azure Mistral OCR strategy and endpoint integration
This commit introduces a new OCR strategy named 'azure_mistral_ocr', allowing the use of a Mistral OCR endpoint deployed on Azure. The configuration, schemas, and file upload strategies have been updated to support this integration, enabling seamless OCR processing via Azure-hosted Mistral services.
* 🗑️ chore: Clean up .gitignore by removing commented-out uncommon directory name
* chore: remove unused vars
* refactor: Move createAxiosInstance to packages/api/utils and update imports
- Removed the createAxiosInstance function from the config module and relocated it to a new utils module for better organization.
- Updated import paths in relevant files to reflect the new location of createAxiosInstance.
- Added tests for createAxiosInstance to ensure proper functionality and proxy configuration handling.
* chore: move axios helpers to packages/api
- Added logAxiosError function to @librechat/api for centralized error logging.
- Updated imports across various files to use the new logAxiosError function.
- Removed the old axios.js utility file as it is no longer needed.
* chore: Update Jest moduleNameMapper for improved path resolution
- Added a new mapping for '~/' to resolve module paths in Jest configuration, enhancing import handling for the project.
* feat: Implement Mistral OCR API integration in TS
* chore: Update MistralOCR tests based on new imports
* fix: Enhance MistralOCR configuration handling and tests
- Introduced helper functions for resolving configuration values from environment variables or hardcoded settings.
- Updated the uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration resolution logic.
- Improved test cases to ensure correct behavior when mixing environment variables and hardcoded values.
- Mocked file upload and signed URL responses in tests to validate functionality without external dependencies.
* feat: Enhance MistralOCR functionality with improved configuration and error handling
- Introduced helper functions for loading authentication configuration and resolving values from environment variables.
- Updated uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration logic.
- Added utility functions for processing OCR results and creating error messages.
- Improved document type determination and result aggregation for better OCR processing.
* refactor: Reorganize OCR type imports in Mistral CRUD file
- Moved OCRResult, OCRResultPage, and OCRImage imports to a more logical grouping for better readability and maintainability.
* feat: Add file exports to API and create files index
* chore: Update OCR types for enhanced structure and clarity
- Redesigned OCRImage interface to include mandatory fields and improved naming conventions.
- Added PageDimensions interface for better representation of page metrics.
- Updated OCRResultPage to include dimensions and mandatory images array.
- Refined OCRResult to include document annotation and usage information.
* refactor: use TS counterpart of uploadOCR methods
* ci: Update MistralOCR tests to reflect new OCR result structure
* chore: Bump version of @librechat/api to 1.2.3 in package.json and package-lock.json
* chore: Update CONFIG_VERSION to 1.2.8
* chore: remove unused sendEvent function from config module (now imported from '@librechat/api')
* chore: remove MistralOCR service files and tests (now in '@librechat/api')
* ci: update logger import in ModelService tests to use @librechat/data-schemas
---------
Co-authored-by: arthurolivierfortin <arthurolivier.fortin@gmail.com>
* 🧠 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
* fix: add undefined password check in local user authentication
* fix: edge case - issue deleting user when no conversations in deleteUserController
* feat: Integrate Mailgun API for email sending functionality
* fix: undefined SESSION_EXPIRY handling and add tests
* fix: update import path for isEnabled utility in azureUtils.js to resolve circular dep.
* refactor: Simplify grid column calculation in SourcesGroup component
* refactor: Centralize default agent capabilities and simplify capability assignment
* Edge case: use defined/fallback capabilities for ephemeral agents when the "agents" endpoint is not enabled
* refactor: consolidate gemini 2 vision check
* feat: enhance capability check logging for agents
* chore: update librechat-data-provider version to 0.7.86
* refactor: import default agent capabilities for enhanced capability management
* chore: standardize quotes in error message check for consistency
* fix: improve error logging both client and api-side for mistral ocr upload errors
* ci: update error handling in MistralOCR tests to use specific error message
* refactor: Update AnthropicClient to support Claude model naming changes
* Renamed `isClaude3` to `isClaudeLatest` to accommodate newer Claude models.
* Updated logic to determine if the model is part of the Claude family.
* Adjusted `useMessages` property to reflect the new model naming convention.
* Cleaned up client properties during disposal to match the updated naming.
* feat: Claude-4 Support
* feat: Add Thinking and Prompt caching support for Claude 4
* chore: Update ANTHROPIC_MODELS in .env.example for latest model versions
* fix: Update Gemini 2.5 Pro Preview Model Name in Token Values
* refactor: Update DeleteButton to close menu when deletion is successful
* refactor: Add unmountOnHide prop to DropdownPopup in multiple components
* chore: linting
* chore: linting
* feat: Add `chatMenu` option for MCP Servers to control visibility in MCPSelect dropdown
* refactor: Update loadManifestTools to return combined tool manifest with MCP tools first
* chore: remove deprecated openapi plugins
* chore: linting
* chore(AgentClient): linting, remove unnecessary `checkVisionRequest` logger
* refactor(AuthService): change logoutUser logging from error to debug level
* chore: new Gemini models token values and rates
* chore(AskController): linting
* 🔄 chore: Update @langchain/google-vertexai to version 0.2.5 in package.json and package-lock.json
* chore: temp remove agents
* 🔄 chore: Update @langchain/google-genai to version 0.2.5 in package.json and package-lock.json
* 🔄 chore: Update @langchain/community to version 0.3.42 in package.json and package-lock.json
* 🔄 chore: Add license information for @langchain/textsplitters in package-lock.json
* 🔄 chore: Update @langchain/core to version 0.3.51 in package.json and package-lock.json
* 🔄 chore: Update openai dependency to version 4.96.2 in package.json and package-lock.json
* chore: @librechat/agents to v2.4.30
* fix: streaming condition in ModelEndHandler to account for boundModel `disableStreaming` setting
* fix: update regex for noSystemModel and refactor message handling in AgentClient
* feat: Google Gemma models
* chore: remove unnecessary empty JSX fragment in PopoverButtons component
* feat: Add support for new OpenAI models (o4-mini, o3) and update related logic
* 🔧 fix: Rename 'resubmitFiles' to 'isResubmission' for consistency across types and hooks
* 🔧 fix: Replace hardcoded 'pending_req' with CacheKeys.PENDING_REQ for consistency in cache handling
* 🔧 fix: Update cache handling to use Time.ONE_MINUTE instead of hardcoded TTL and streamline imports
* 🔧 fix: Enhance message handling logic to correctly identify parent messages and streamline imports in useSSE
* fix: Agent Builder setting not applying in useSideNavLinks
* fix: Remove unused type imports in useSideNavLinks
* feat: gpt-4.1
* fix: Update getCacheMultiplier and getMultiplier tests to use dynamic token values
* feat: Add gpt-4.1 to the list of vision models
* chore: Bump version of librechat-data-provider to 0.7.792
* chore: remove unused redis file
* chore: bump keyv dependencies, and update related imports
* refactor: Implement IoRedis client for rate limiting across middleware, as node-redis via keyv not compatible
* fix: Set max listeners to expected amount
* WIP: memory improvements
* refactor: Simplify getAbortData assignment in createAbortController
* refactor: Update getAbortData to use WeakRef for content management
* WIP: memory improvements in agent chat requests
* refactor: Enhance memory management with finalization registry and cleanup functions
* refactor: Simplify domainParser calls by removing unnecessary request parameter
* refactor: Update parameter types for action tools and agent loading functions to use minimal configs
* refactor: Simplify domainParser tests by removing unnecessary request parameter
* refactor: Simplify domainParser call by removing unnecessary request parameter
* refactor: Enhance client disposal by nullifying additional properties to improve memory management
* refactor: Improve title generation by adding abort controller and timeout handling, consolidate request cleanup
* refactor: Update checkIdleConnections to skip current user when checking for idle connections if passed
* refactor: Update createMCPTool to derive userId from config and handle abort signals
* refactor: Introduce createTokenCounter function and update tokenCounter usage; enhance disposeClient to reset Graph values
* refactor: Update getMCPManager to accept userId parameter for improved idle connection handling
* refactor: Extract logToolError function for improved error handling in AgentClient
* refactor: Update disposeClient to clear handlerRegistry and graphRunnable references in client.run
* refactor: Extract createHandleNewToken function to streamline token handling in initializeClient
* chore: bump @librechat/agents
* refactor: Improve timeout handling in addTitle function for better error management
* refactor: Introduce createFetch instead of using class method
* refactor: Enhance client disposal and request data handling in AskController and EditController
* refactor: Update import statements for AnthropicClient and OpenAIClient to use specific paths
* refactor: Use WeakRef for response handling in SplitStreamHandler to prevent memory leaks
* refactor: Simplify client disposal and rename getReqData to processReqData in AskController and EditController
* refactor: Improve logging structure and parameter handling in OpenAIClient
* refactor: Remove unused GraphEvents and improve stream event handling in AnthropicClient and OpenAIClient
* refactor: Simplify client initialization in AskController and EditController
* refactor: Remove unused mock functions and implement in-memory store for KeyvMongo
* chore: Update dependencies in package-lock.json to latest versions
* refactor: Await token usage recording in OpenAIClient to ensure proper async handling
* refactor: Remove handleAbort route from multiple endpoints and enhance client disposal logic
* refactor: Enhance abort controller logic by managing abortKey more effectively
* refactor: Add newConversation handling in useEventHandlers for improved conversation management
* fix: dropparams
* refactor: Use optional chaining for safer access to request properties in BaseClient
* refactor: Move client disposal and request data processing logic to cleanup module for better organization
* refactor: Remove aborted request check from addTitle function for cleaner logic
* feat: Add Grok 3 model pricing and update tests for new models
* chore: Remove trace warnings and inspect flags from backend start script used for debugging
* refactor: Replace user identifier handling with userId for consistency across controllers, use UserId in clientRegistry
* refactor: Enhance client disposal logic to prevent memory leaks by clearing additional references
* chore: Update @librechat/agents to version 2.4.14 in package.json and package-lock.json
* 🔧 fix: Resolve Mistral type strictness for OpenAI usage field
* chore: Enable usage tracking for Mistral endpoint in OpenAI configuration
* chore: Add new token values and context windows for latest premier Mistral models
* 🔧 feat: Enhance logging configuration for production and debug environments
* 🔒 feat: Implement encryption and decryption functions for sensitive values in ActionService with URL encoding/decoding
* refactor: optimize action service for agent tools
* refactor: optimize action processing for Assistants API
* fix: handle case where agent is not found in loadAgent function
* refactor: improve error handling in API calls by throwing new Error with logAxiosError output
* chore: bump @librechat/agents to 2.3.95, fixes "Invalid tool call structure: No preceding AIMessage with tool_call_ids"
* refactor: enhance error logging in logAxiosError function to include response status
* refactor: remove unused useModelSelection hook from Endpoint
* refactor: add support for assistants in useSelectorEffects hook
* refactor: replace string easing with imported easings in Landing component
* chore: remove duplicate translation
* refactor: update model selection logic and improve localization for UI elements
* refactor: replace endpoint value checks with helper functions for agents and assistants
* refactor: optimize display value logic and utilize useMemo for performance improvements
* refactor: clean up imports and optimize display/icon value logic in endpoint components, fix spec selection
* refactor: enhance error logging in axios utility to include stack traces for better debugging
* refactor: update logging configuration to use DEBUG_LOGGING and streamline log level handling
* refactor: adjust className for export menu button to improve layout consistency and remove unused title prop from ShareButton
* refactor: update import path for logAxiosError utility to improve module organization and clarity
* refactor: implement debounced search value setter in ModelSelectorContext for improved performance
* wip: first pass, dropdown for selecting sequential agents
* refactor: Improve agent selection logic and enhance performance in SequentialAgents component
* wip: seq. agents working ideas
* wip: sequential agents style change
* refactor: move agent form options/submission outside of AgentConfig
* refactor: prevent repeating code
* refactor: simplify current agent display in SequentialAgents component
* feat: persist form value handling in AgentSelect component for agent_ids
* feat: first pass, sequential agnets agent update
* feat: enhance message display with agent updates and empty text handling
* chore: update Icon component to use EModelEndpoint for agent endpoints
* feat: update content type checks in BaseClient to use constants for better readability
* feat: adjust max context tokens calculation to use 90% of the model's max tokens
* feat: first pass, agent run message pruning
* chore: increase max listeners for abort controller to prevent memory leaks
* feat: enhance runAgent function to include current index count map for improved token tracking
* chore: update @librechat/agents dependency to version 2.2.5
* feat: update icons and style of SequentialAgents component for improved UI consistency
* feat: add AdvancedButton and AdvancedPanel components for enhanced agent settings navigation, update styling for agent form
* chore: adjust minimum height of AdvancedPanel component for better layout consistency
* chore: update @librechat/agents dependency to version 2.2.6
* feat: enhance message formatting by incorporating tool set into agent message processing, in order to allow better mix/matching of agents (as tool calls for tools not found in set will be stringified)
* refactor: reorder components in AgentConfig for improved readability and maintainability
* refactor: enhance layout of AgentUpdate component for improved visual structure
* feat: add DeepSeek provider to Bedrock settings and schemas
* feat: enhance link styling in mobile.css for better visibility and accessibility
* fix: update banner model import in update banner script; export Banner model
* refactor: `duplicateAgentHandler` to include tool_resources only for OCR context files
* feat: add 'qwen-vl' to visionModels for enhanced model support
* fix: change image format from JPEG to PNG in DALLE3 response
* feat: reorganize Advanced components and add localizations
* refactor: simplify JSX structure in AgentChain component to defer container styling to parent
* feat: add FormInput component for reusable input handling
* feat: make agent recursion limit configurable from builder
* feat: add support for agent capabilities chain in AdvancedPanel and update data-provider version
* feat: add maxRecursionLimit configuration for agents and update related documentation
* fix: update CONFIG_VERSION to 1.2.3 in data provider configuration
* feat: replace recursion limit input with MaxAgentSteps component and enhance input handling
* feat: enhance AgentChain component with hover card for additional information and update related labels
* fix: pass request and response objects to `createActionTool` when using assistant actions to prevent auth error
* feat: update AgentChain component layout to include agent count display
* feat: increase default max listeners and implement capability check function for agent chain
* fix: update link styles in mobile.css for better visibility in dark mode
* chore: temp. remove agents package while bumping shared packages
* chore: update @langchain/google-genai package to version 0.1.11
* chore: update @langchain/google-vertexai package to version 0.2.2
* chore: add @librechat/agents package at version 2.2.8
* feat: add deepseek.r1 model with token rate and context values for bedrock
* chore: update @librechat/agents to version 2.1.9
* feat: xAI standalone provider for agents
* chore: bump librechat-data-provider version to 0.7.6997
* fix: reorder import statements and enhance user listing output
* fix: Update Docker Compose commands to support v2 syntax with fallback
* 🔧 fix: drop `reasoning_effort` for o1-preview/mini models
* chore: requireLocalAuth logging
* fix: edge case artifact message editing logic to handle `new` conversation IDs
* fix: remove `temperature` from model options in OpenAIClient if o1-mini/preview
* fix: update type annotation for fetchPromisesMap to use Promise<string[]> instead of string[]
* feat: anthropic model fetching
* fix: update model name to use EModelEndpoint.openAI in fetchModels and fetchOpenAIModels
* fix: add error handling to modelController for loadModels
* fix: add error handling and logging for model fetching in loadDefaultModels
* ci: update getAnthropicModels tests to be asynchronous
* feat: add user ID to model options in OpenAI and custom endpoint initialization
---------
Co-authored-by: Andrei Berceanu <andreicberceanu@gmail.com>
Co-authored-by: KiGamji <maloyh44@gmail.com>
* 🔧 refactor: Update settings to use 'as const' for improved type safety and make gpt-4o-mini default model (cheapest)
* 📖 docs: Update README to reflect support for GPT-4.5 in image analysis feature
* 🔧 refactor: Update model handling to use default settings and improve encoding logic
* 🔧 refactor: Enhance model version extraction logic for improved compatibility with future GPT and omni models
* feat: GPT-4.5 tx/token update, vision support
* fix: $ref resolution logic in OpenAPI handling
* feat: add new 'anthropic-beta' header for Claude 3.7 to include token-efficient tools; ref: https://docs.anthropic.com/en/docs/build-with-claude/tool-use/token-efficient-tool-use
* fix: missing console color methods for admin scripts
* feat: Anthropic Claude 3.7 Sonnet Support
* feat: update eventsource to version 3.0.2 and upgrade @modelcontextprotocol/sdk to 1.4.1
* fix: update DynamicInput to handle number type and improve initial value logic
* feat: first pass Anthropic Reasoning (Claude 3.7)
* feat: implement streaming support in AnthropicClient with reasoning UI handling
* feat: add missing xAI (grok) models
* refactor: Ensure Axios Errors are less Verbose if No Response
* refactor: Improve error handling in logAxiosError function
* fix: Prevent ModelSelect from rendering for Agent Endpoints
* refactor: Enhance logging functions with type parameter for better clarity
* refactor: Update buildDefaultConvo function to use optional endpoint parameter since we pass a default value for undefined
* refactor: Replace console logs with logger warnings and errors in useNavigateToConvo hook, and handle removed endpoint edge case
* chore: import order
* 🤖 refactor: streamline model selection logic for title model in GoogleClient
* refactor: add options for empty object schemas in convertJsonSchemaToZod
* refactor: add utility function to check for empty object schemas in convertJsonSchemaToZod
* fix: Google MCP Tool errors, and remove Object Unescaping as Google fixed this
* fix: google safetySettings
* feat: add safety settings exclusion via GOOGLE_EXCLUDE_SAFETY_SETTINGS environment variable
* fix: rename environment variable for console JSON string length
* fix: disable portal for dropdown in ExportModal component
* fix: screenshot functionality to use image placeholder for remote images
* feat: add visionMode property to BaseClient and initialize in GoogleClient to fix resendFiles issue
* fix: enhance formatMessages to include image URLs in message content for Vertex AI
* fix: safety settings for titleChatCompletion
* fix: remove deprecated model assignment in GoogleClient and streamline title model retrieval
* fix: remove unused image preloading logic in ScreenshotContext
* chore: update default google models to latest models shared by vertex ai and gen ai
* refactor: enhance Google error messaging
* fix: update token values and model limits for Gemini models
* ci: fix model matching
* chore: bump version of librechat-data-provider to 0.7.699
* 🐛 fix: Prevent processing of non-artifact nodes in artifact plugin
* refactor: remove deprecated fields, add `reasoning_effort`
* refactor: move `reasoning_effort` to the second column in OpenAI settings
* feat: add support for additional AI Gateway provider in extractBaseURL function
* refactor: move `reasoning_effort` field to conversationPreset and remove from agentOptions
* fix: google-thinking model safety settings fix
* chore: update pricing/context for deepseek models
* ci: update Deepseek model token limits to use dynamic mapping
* docs: Update README to include Model Context Protocol support and enhance access descriptions
* fix: Update civic integrity threshold to use 'BLOCK_NONE' as default
* fix: Update GOOGLE_MODELS in .env.example and adjust civic integrity threshold for new model compatibility
* ✨ v0.7.6
* feat: Add 'gemini-2.0-flash-thinking-exp' model to googleModels context windows
