* 🌊 feat: Implement multi-conversation feature with added conversation context and payload adjustments
* refactor: Replace isSubmittingFamily with isSubmitting across message components for consistency
* feat: Add loadAddedAgent and processAddedConvo for multi-conversation agent execution
* refactor: Update ContentRender usage to conditionally render PlaceholderRow based on isLast and isSubmitting
* WIP: first pass, sibling index
* feat: Enhance multi-conversation support with agent tracking and display improvements
* refactor: Introduce isEphemeralAgentId utility and update related logic for agent handling
* refactor: Implement createDualMessageContent utility for sibling message display and enhance useStepHandler for added conversations
* refactor: duplicate tools for added agent if ephemeral and primary agent is also ephemeral
* chore: remove deprecated multimessage rendering
* refactor: enhance dual message content creation and agent handling for parallel rendering
* refactor: streamline message rendering and submission handling by removing unused state and optimizing conditional logic
* refactor: adjust content handling in parallel mode to utilize existing content for improved agent display
* refactor: update @librechat/agents dependency to version 3.0.53
* refactor: update @langchain/core and @librechat/agents dependencies to latest versions
* refactor: remove deprecated @langchain/core dependency from package.json
* chore: remove unused SearchToolConfig and GetSourcesParams types from web.ts
* refactor: remove unused message properties from Message component
* refactor: enhance parallel content handling with groupId support in ContentParts and useStepHandler
* refactor: implement parallel content styling in Message, MessageRender, and ContentRender components. use explicit model name
* refactor: improve agent ID handling in createDualMessageContent for dual message display
* refactor: simplify title generation in AddedConvo by removing unused sender and preset logic
* refactor: replace string interpolation with cn utility for className in HoverButtons component
* refactor: enhance agent ID handling by adding suffix management for parallel agents and updating related components
* refactor: enhance column ordering in ContentParts by sorting agents with suffix management
* refactor: update @librechat/agents dependency to version 3.0.55
* feat: implement parallel content rendering with metadata support
- Added `ParallelContentRenderer` and `ParallelColumns` components for rendering messages in parallel based on groupId and agentId.
- Introduced `contentMetadataMap` to store metadata for each content part, allowing efficient parallel content detection.
- Updated `Message` and `ContentRender` components to utilize the new metadata structure for rendering.
- Modified `useStepHandler` to manage content indices and metadata during message processing.
- Enhanced `IJobStore` interface and its implementations to support storing and retrieving content metadata.
- Updated data schemas to include `contentMetadataMap` for messages, enabling multi-agent and parallel execution scenarios.
* refactor: update @librechat/agents dependency to version 3.0.56
* refactor: remove unused EPHEMERAL_AGENT_ID constant and simplify agent ID check
* refactor: enhance multi-agent message processing and primary agent determination
* refactor: implement branch message functionality for parallel responses
* refactor: integrate added conversation retrieval into message editing and regeneration processes
* refactor: remove unused isCard and isMultiMessage props from MessageRender and ContentRender components
* refactor: update @librechat/agents dependency to version 3.0.60
* refactor: replace usage of EPHEMERAL_AGENT_ID constant with isEphemeralAgentId function for improved clarity and consistency
* refactor: standardize agent ID format in tests for consistency
* chore: move addedConvo property to the correct position in payload construction
* refactor: rename agent_id values in loadAgent tests for clarity
* chore: reorder props in ContentParts component for improved readability
* refactor: rename variable 'content' to 'result' for clarity in RedisJobStore tests
* refactor: streamline useMessageActions by removing duplicate handleFeedback assignment
* chore: revert placeholder rendering logic MessageRender and ContentRender components to original
* refactor: implement useContentMetadata hook for optimized content metadata handling
* refactor: remove contentMetadataMap and related logic from the codebase and revert back to agentId/groupId in content parts
- Eliminated contentMetadataMap from various components and services, simplifying the handling of message content.
- Updated functions to directly access agentId and groupId from content parts instead of relying on a separate metadata map.
- Adjusted related hooks and components to reflect the removal of contentMetadataMap, ensuring consistent handling of message content.
- Updated tests and documentation to align with the new structure of message content handling.
* refactor: remove logging from groupParallelContent function to clean up output
* refactor: remove model parameter from TBranchMessageRequest type for simplification
* refactor: enhance branch message creation by stripping metadata for standalone content
* chore: streamline branch message creation by simplifying content filtering and removing unnecessary metadata checks
* refactor: include attachments in branch message creation for improved content handling
* refactor: streamline agent content processing by consolidating primary agent identification and filtering logic
* refactor: simplify multi-agent message processing by creating a dedicated mapping method and enhancing content filtering
* refactor: remove unused parameter from loadEphemeralAgent function for cleaner code
* refactor: update groupId handling in metadata to only set when provided by the server
* ✨ feat: Implement Resumable Generation Jobs with SSE Support
- Introduced GenerationJobManager to handle resumable LLM generation jobs independently of HTTP connections.
- Added support for subscribing to ongoing generation jobs via SSE, allowing clients to reconnect and receive updates without losing progress.
- Enhanced existing agent controllers and routes to integrate resumable functionality, including job creation, completion, and error handling.
- Updated client-side hooks to manage adaptive SSE streams, switching between standard and resumable modes based on user settings.
- Added UI components and settings for enabling/disabling resumable streams, improving user experience during unstable connections.
* WIP: resuming
* WIP: resumable stream
* feat: Enhance Stream Management with Abort Functionality
- Updated the abort endpoint to support aborting ongoing generation streams using either streamId or conversationId.
- Introduced a new mutation hook `useAbortStreamMutation` for client-side integration.
- Added `useStreamStatus` query to monitor stream status and facilitate resuming conversations.
- Enhanced `useChatHelpers` to incorporate abort functionality when stopping generation.
- Improved `useResumableSSE` to handle stream errors and token refresh seamlessly.
- Updated `useResumeOnLoad` to check for active streams and resume conversations appropriately.
* fix: Update query parameter handling in useChatHelpers
- Refactored the logic for determining the query parameter used in fetching messages to prioritize paramId from the URL, falling back to conversationId only if paramId is not available. This change ensures consistency with the ChatView component's expectations.
* fix: improve syncing when switching conversations
* fix: Prevent memory leaks in useResumableSSE by clearing handler maps on stream completion and cleanup
* fix: Improve content type mismatch handling in useStepHandler
- Enhanced the condition for detecting content type mismatches to include additional checks, ensuring more robust validation of content types before processing updates.
* fix: Allow dynamic content creation in useChatFunctions
- Updated the initial response handling to avoid pre-initializing content types, enabling dynamic creation of content parts based on incoming delta events. This change supports various content types such as think and text.
* fix: Refine response message handling in useStepHandler
- Updated logic to determine the appropriate response message based on the last message's origin, ensuring correct message replacement or appending based on user interaction. This change enhances the accuracy of message updates in the chat flow.
* refactor: Enhance GenerationJobManager with In-Memory Implementations
- Introduced InMemoryJobStore, InMemoryEventTransport, and InMemoryContentState for improved job management and event handling.
- Updated GenerationJobManager to utilize these new implementations, allowing for better separation of concerns and easier maintenance.
- Enhanced job metadata handling to support user messages and response IDs for resumable functionality.
- Improved cleanup and state management processes to prevent memory leaks and ensure efficient resource usage.
* refactor: Enhance GenerationJobManager with improved subscriber handling
- Updated RuntimeJobState to include allSubscribersLeftHandlers for managing client disconnections without affecting subscriber count.
- Refined createJob and subscribe methods to ensure generation starts only when the first real client connects.
- Added detailed documentation for methods and properties to clarify the synchronization of job generation with client readiness.
- Improved logging for subscriber checks and event handling to facilitate debugging and monitoring.
* chore: Adjust timeout for subscriber readiness in ResumableAgentController
- Reduced the timeout duration from 5000ms to 2500ms in the startGeneration function to improve responsiveness when waiting for subscriber readiness. This change aims to enhance the efficiency of the agent's background generation process.
* refactor: Update GenerationJobManager documentation and structure
- Enhanced the documentation for GenerationJobManager to clarify the architecture and pluggable service design.
- Updated comments to reflect the potential for Redis integration and the need for async refactoring.
- Improved the structure of the GenerationJob facade to emphasize the unified API while allowing for implementation swapping without affecting consumer code.
* refactor: Convert GenerationJobManager methods to async for improved performance
- Updated methods in GenerationJobManager and InMemoryJobStore to be asynchronous, enhancing the handling of job creation, retrieval, and management.
- Adjusted the ResumableAgentController and related routes to await job operations, ensuring proper flow and error handling.
- Increased timeout duration in ResumableAgentController's startGeneration function to 3500ms for better subscriber readiness management.
* refactor: Simplify initial response handling in useChatFunctions
- Removed unnecessary pre-initialization of content types in the initial response, allowing for dynamic content creation based on incoming delta events. This change enhances flexibility in handling various content types in the chat flow.
* refactor: Clarify content handling logic in useStepHandler
- Updated comments to better explain the handling of initialContent and existingContent in edit and resume scenarios.
- Simplified the logic for merging content, ensuring that initialContent is used directly when available, improving clarity and maintainability.
* refactor: Improve message handling logic in useStepHandler
- Enhanced the logic for managing messages in multi-tab scenarios, ensuring that the most up-to-date message history is utilized.
- Removed existing response placeholders and ensured user messages are included, improving the accuracy of message updates in the chat flow.
* fix: remove unnecessary content length logging in the chat stream response, simplifying the debug message while retaining essential information about run steps. This change enhances clarity in logging without losing critical context.
* refactor: Integrate streamId handling for improved resumable functionality for attachments
- Added streamId parameter to various functions to support resumable mode in tool loading and memory processing.
- Updated related methods to ensure proper handling of attachments and responses based on the presence of streamId, enhancing the overall streaming experience.
- Improved logging and attachment management to accommodate both standard and resumable modes.
* refactor: Streamline abort handling and integrate GenerationJobManager for improved job management
- Removed the abortControllers middleware and integrated abort handling directly into GenerationJobManager.
- Updated abortMessage function to utilize GenerationJobManager for aborting jobs by conversation ID, enhancing clarity and efficiency.
- Simplified cleanup processes and improved error handling during abort operations.
- Enhanced metadata management for jobs, including endpoint and model information, to facilitate better tracking and resource management.
* refactor: Unify streamId and conversationId handling for improved job management
- Updated ResumableAgentController and AgentController to generate conversationId upfront, ensuring it matches streamId for consistency.
- Simplified job creation and metadata management by removing redundant conversationId updates from callbacks.
- Refactored abortMiddleware and related methods to utilize the unified streamId/conversationId approach, enhancing clarity in job handling.
- Removed deprecated methods from GenerationJobManager and InMemoryJobStore, streamlining the codebase and improving maintainability.
* refactor: Enhance resumable SSE handling with improved UI state management and error recovery
- Added UI state restoration on successful SSE connection to indicate ongoing submission.
- Implemented detailed error handling for network failures, including retry logic with exponential backoff.
- Introduced abort event handling to reset UI state on intentional stream closure.
- Enhanced debugging capabilities for testing reconnection and clean close scenarios.
- Updated generation function to retry on network errors, improving resilience during submission processes.
* refactor: Consolidate content state management into IJobStore for improved job handling
- Removed InMemoryContentState and integrated its functionality into InMemoryJobStore, streamlining content state management.
- Updated GenerationJobManager to utilize jobStore for content state operations, enhancing clarity and reducing redundancy.
- Introduced RedisJobStore for horizontal scaling, allowing for efficient job management and content reconstruction from chunks.
- Updated IJobStore interface to reflect changes in content state handling, ensuring consistency across implementations.
* feat: Introduce Redis-backed stream services for enhanced job management
- Added createStreamServices function to configure job store and event transport, supporting both Redis and in-memory options.
- Updated GenerationJobManager to allow configuration with custom job stores and event transports, improving flexibility for different deployment scenarios.
- Refactored IJobStore interface to support asynchronous content retrieval, ensuring compatibility with Redis implementations.
- Implemented RedisEventTransport for real-time event delivery across instances, enhancing scalability and responsiveness.
- Updated InMemoryJobStore to align with new async patterns for content and run step retrieval, ensuring consistent behavior across storage options.
* refactor: Remove redundant debug logging in GenerationJobManager and RedisEventTransport
- Eliminated unnecessary debug statements in GenerationJobManager related to subscriber actions and job updates, enhancing log clarity.
- Removed debug logging in RedisEventTransport for subscription and subscriber disconnection events, streamlining the logging output.
- Cleaned up debug messages in RedisJobStore to focus on essential information, improving overall logging efficiency.
* refactor: Enhance job state management and TTL configuration in RedisJobStore
- Updated the RedisJobStore to allow customizable TTL values for job states, improving flexibility in job management.
- Refactored the handling of job expiration and cleanup processes to align with new TTL configurations.
- Simplified the response structure in the chat status endpoint by consolidating state retrieval, enhancing clarity and performance.
- Improved comments and documentation for better understanding of the changes made.
* refactor: cleanupOnComplete option to GenerationJobManager for flexible resource management
- Introduced a new configuration option, cleanupOnComplete, allowing immediate cleanup of event transport and job resources upon job completion.
- Updated completeJob and abortJob methods to respect the cleanupOnComplete setting, enhancing memory management.
- Improved cleanup logic in the cleanup method to handle orphaned resources effectively.
- Enhanced documentation and comments for better clarity on the new functionality.
* refactor: Update TTL configuration for completed jobs in InMemoryJobStore
- Changed the TTL for completed jobs from 5 minutes to 0, allowing for immediate cleanup.
- Enhanced cleanup logic to respect the new TTL setting, improving resource management.
- Updated comments for clarity on the behavior of the TTL configuration.
* refactor: Enhance RedisJobStore with local graph caching for improved performance
- Introduced a local cache for graph references using WeakRef to optimize reconnects for the same instance.
- Updated job deletion and cleanup methods to manage the local cache effectively, ensuring stale entries are removed.
- Enhanced content retrieval methods to prioritize local cache access, reducing Redis round-trips for same-instance reconnects.
- Improved documentation and comments for clarity on the caching mechanism and its benefits.
* feat: Add integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore, add Redis Cluster support
- Introduced comprehensive integration tests for GenerationJobManager, covering both in-memory and Redis modes to ensure consistent job management and event handling.
- Added tests for RedisEventTransport to validate pub/sub functionality, including cross-instance event delivery and error handling.
- Implemented integration tests for RedisJobStore, focusing on multi-instance job access, content reconstruction from chunks, and consumer group behavior.
- Enhanced test setup and teardown processes to ensure a clean environment for each test run, improving reliability and maintainability.
* fix: Improve error handling in GenerationJobManager for allSubscribersLeft handlers
- Enhanced the error handling logic when retrieving content parts for allSubscribersLeft handlers, ensuring that any failures are logged appropriately.
- Updated the promise chain to catch errors from getContentParts, improving robustness and clarity in error reporting.
* ci: Improve Redis client disconnection handling in integration tests
- Updated the afterAll cleanup logic in integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore to use `quit()` for graceful disconnection of the Redis client.
- Added fallback to `disconnect()` if `quit()` fails, enhancing robustness in resource management during test teardown.
- Improved comments for clarity on the disconnection process and error handling.
* refactor: Enhance GenerationJobManager and event transports for improved resource management
- Updated GenerationJobManager to prevent immediate cleanup of eventTransport upon job completion, allowing final events to transmit fully before cleanup.
- Added orphaned stream cleanup logic in GenerationJobManager to handle streams without corresponding jobs.
- Introduced getTrackedStreamIds method in both InMemoryEventTransport and RedisEventTransport for better management of orphaned streams.
- Improved comments for clarity on resource management and cleanup processes.
* refactor: Update GenerationJobManager and ResumableAgentController for improved event handling
- Modified GenerationJobManager to resolve readyPromise immediately, eliminating startup latency and allowing early event buffering for late subscribers.
- Enhanced event handling logic to replay buffered events when the first subscriber connects, ensuring no events are lost due to race conditions.
- Updated comments for clarity on the new event synchronization mechanism and its benefits in both Redis and in-memory modes.
* fix: Update cache integration test command for stream to ensure proper execution
- Modified the test command for cache integration related to streams by adding the --forceExit flag to prevent hanging tests.
- This change enhances the reliability of the test suite by ensuring all tests complete as expected.
* feat: Add active job management for user and show progress in conversation list
- Implemented a new endpoint to retrieve active generation job IDs for the current user, enhancing user experience by allowing visibility of ongoing tasks.
- Integrated active job tracking in the Conversations component, displaying generation indicators based on active jobs.
- Optimized job management in the GenerationJobManager and InMemoryJobStore to support user-specific job queries, ensuring efficient resource handling and cleanup.
- Updated relevant components and hooks to utilize the new active jobs feature, improving overall application responsiveness and user feedback.
* feat: Implement active job tracking by user in RedisJobStore
- Added functionality to retrieve active job IDs for a specific user, enhancing user experience by allowing visibility of ongoing tasks.
- Implemented self-healing cleanup for stale job entries, ensuring accurate tracking of active jobs.
- Updated job creation, update, and deletion methods to manage user-specific job sets effectively.
- Enhanced integration tests to validate the new user-specific job management features.
* refactor: Simplify job deletion logic by removing user job cleanup from InMemoryJobStore and RedisJobStore
* WIP: Add backend inspect script for easier debugging in production
* refactor: title generation logic
- Changed the title generation endpoint from POST to GET, allowing for more efficient retrieval of titles based on conversation ID.
- Implemented exponential backoff for title fetching retries, improving responsiveness and reducing server load.
- Introduced a queuing mechanism for title generation, ensuring titles are generated only after job completion.
- Updated relevant components and hooks to utilize the new title generation logic, enhancing user experience and application performance.
* feat: Enhance updateConvoInAllQueries to support moving conversations to the top
* chore: temp. remove added multi convo
* refactor: Update active jobs query integration for optimistic updates on abort
- Introduced a new interface for active jobs response to standardize data handling.
- Updated query keys for active jobs to ensure consistency across components.
- Enhanced job management logic in hooks to properly reflect active job states, improving overall application responsiveness.
* refactor: useResumableStreamToggle hook to manage resumable streams for legacy/assistants endpoints
- Introduced a new hook, useResumableStreamToggle, to automatically toggle resumable streams off for assistants endpoints and restore the previous value when switching away.
- Updated ChatView component to utilize the new hook, enhancing the handling of streaming behavior based on endpoint type.
- Refactored imports in ChatView for better organization.
* refactor: streamline conversation title generation handling
- Removed unused type definition for TGenTitleMutation in mutations.ts to clean up the codebase.
- Integrated queueTitleGeneration call in useEventHandlers to trigger title generation for new conversations, enhancing the responsiveness of the application.
* feat: Add USE_REDIS_STREAMS configuration for stream job storage
- Introduced USE_REDIS_STREAMS to control Redis usage for resumable stream job storage, defaulting to true if USE_REDIS is enabled but not explicitly set.
- Updated cacheConfig to include USE_REDIS_STREAMS and modified createStreamServices to utilize this new configuration.
- Enhanced unit tests to validate the behavior of USE_REDIS_STREAMS under various environment settings, ensuring correct defaults and overrides.
* fix: title generation queue management for assistants
- Introduced a queueListeners mechanism to notify changes in the title generation queue, improving responsiveness for non-resumable streams.
- Updated the useTitleGeneration hook to track queue changes with a queueVersion state, ensuring accurate updates when jobs complete.
- Refactored the queueTitleGeneration function to trigger listeners upon adding new conversation IDs, enhancing the overall title generation flow.
* refactor: streamline agent controller and remove legacy resumable handling
- Updated the AgentController to route all requests to ResumableAgentController, simplifying the logic.
- Deprecated the legacy non-resumable path, providing a clear migration path for future use.
- Adjusted setHeaders middleware to remove unnecessary checks for resumable mode.
- Cleaned up the useResumableSSE hook to eliminate redundant query parameters, enhancing clarity and performance.
* feat: Add USE_REDIS_STREAMS configuration to .env.example
- Updated .env.example to include USE_REDIS_STREAMS setting, allowing control over Redis usage for resumable LLM streams.
- Provided additional context on the behavior of USE_REDIS_STREAMS when not explicitly set, enhancing clarity for configuration management.
* refactor: remove unused setHeaders middleware from chat route
- Eliminated the setHeaders middleware from the chat route, streamlining the request handling process.
- This change contributes to cleaner code and improved performance by reducing unnecessary middleware checks.
* fix: Add streamId parameter for resumable stream handling across services (actions, mcp oauth)
* fix(flow): add immediate abort handling and fix intervalId initialization
- Add immediate abort handler that responds instantly to abort signal
- Declare intervalId before cleanup function to prevent 'Cannot access before initialization' error
- Consolidate cleanup logic into single function to avoid duplicate cleanup
- Properly remove abort event listener on cleanup
* fix(mcp): clean up OAuth flows on abort and simplify flow handling
- Add abort handler in reconnectServer to clean up mcp_oauth and mcp_get_tokens flows
- Update createAbortHandler to clean up both flow types on tool call abort
- Pass abort signal to createFlow in returnOnOAuth path
- Simplify handleOAuthRequired to always cancel existing flows and start fresh
- This ensures user always gets a new OAuth URL instead of waiting for stale flows
* fix(agents): handle 'new' conversationId and improve abort reliability
- Treat 'new' as placeholder that needs UUID in request controller
- Send JSON response immediately before tool loading for faster SSE connection
- Use job's abort controller instead of prelimAbortController
- Emit errors to stream if headers already sent
- Skip 'new' as valid ID in abort endpoint
- Add fallback to find active jobs by userId when conversationId is 'new'
* fix(stream): detect early abort and prevent navigation to non-existent conversation
- Abort controller on job completion to signal pending operations
- Detect early abort (no content, no responseMessageId) in abortJob
- Set conversation and responseMessage to null for early aborts
- Add earlyAbort flag to final event for frontend detection
- Remove unused text field from AbortResult interface
- Frontend handles earlyAbort by staying on/navigating to new chat
* test(mcp): update test to expect signal parameter in createFlow
fix(agents): include 'new' conversationId in newConvo check for title generation
When frontend sends 'new' as conversationId, it should still trigger
title generation since it's a new conversation. Rename boolean variable for clarity
fix(agents): check abort state before completeJob for title generation
completeJob now triggers abort signal for cleanup, so we need to
capture the abort state beforehand to correctly determine if title
generation should run.
* 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
* 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
* Refactored the logic for determining max output tokens in the agent initialization process.
* Changed variable names for clarity, updating from `maxTokens` to `maxOutputTokens` to better reflect their purpose.
* Adjusted calculations for `maxContextTokens` to use the new `maxOutputTokens` variable.
* refactor: remove `useChatContext` from `useSelectMention`, explicitly pass `conversation` object
* feat: ephemeral agents via model specs
* refactor: Sync Jotai state with ephemeral agent state, also when Ephemeral Agent has no MCP servers selected
* refactor: move `useUpdateEphemeralAgent` to store and clean up imports
* refactor: reorder imports and invalidate queries for mcpConnectionStatus in event handler
* refactor: replace useApplyModelSpecEffects with useApplyModelSpecAgents and update event handlers to use new agent template logic
* ci: update useMCPSelect test to verify mcpValues sync with empty ephemeralAgent.mcp
* 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>
* 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>
* 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
* chore: import paths for isEnabled and logger in title.js
* ⛔ fix: `AbortSignal` Cleanup Logic for New Chats
* test: Add `isNewConvo` parameter to onStart expectation in BaseClient tests
* 🏗️ refactor: Extract reasoning key logic into separate function
* refactor: Ensure `overrideProvider` is always defined in `getProviderConfig` result, and only used in `initializeAgent` if different from `agent.provider`
* feat: new title configuration options across services
- titlePrompt
- titleEndpoint
- titlePromptTemplate
- new "completion" titleMethod (new default)
* chore: update @librechat/agents and conform openai version to prevent SDK errors
* chore: add form-data package as a dependency and override to v4.0.4 to address CVE-2025-7783
* feat: add support for 'all' endpoint configuration in AppService and corresponding tests
* refactor: replace HttpsProxyAgent with ProxyAgent from undici for improved proxy handling in assistant initialization
* chore: update frontend review workflow to limit package paths to data-provider
* chore: update backend review workflow to include all package paths
* 🕒 refactor: Use Legacy Content for Custom Endpoints to Improve Compatibility
- Also applies to Azure serverless endpoints from AI Foundry
* chore: move useLegacyContent condition before early return
* fix: Ensure useLegacyContent is set only when options are available
* chore: bump @librechat/agents to ^2.4.54 for anthropic web search support
* WIP: hardcoded web search tool usage
* feat: Implement web search functionality in Anthropic integration
- Updated parameters panel to include web search for anthropic models.
- Updated necessary schemas to accomodate toggle functionality
* chore: Set default web search option to false in anthropicSettings
* refactor: Rename webSearch to web_search for consistency across settings and schemas
* chore: bump @librechat/agents to v2.4.55
---------
Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
* 🔍 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>
* 🔧 fix: enhance client options handling in AgentClient and set default recursion limit
- Updated the recursion limit to default to 25 if not specified in agentsEConfig.
- Enhanced client options in AgentClient to include model parameters such as apiKey and anthropicApiUrl from agentModelParams.
- Updated requestOptions in the anthropic endpoint to use reverseProxyUrl as anthropicApiUrl.
* Enhance LLM configuration tests with edge case handling
* chore add return type annotation for getCustomEndpointConfig function
* fix: update modelOptions handling to use optional chaining and default to empty object in multiple endpoint initializations
* chore: update @librechat/agents to version 2.4.42
* refactor: streamline agent endpoint configuration and enhance client options handling for title generations
- Introduced a new `getProviderConfig` function to centralize provider configuration logic.
- Updated `AgentClient` to utilize the new provider configuration, improving clarity and maintainability.
- Removed redundant code related to endpoint initialization and model parameter handling.
- Enhanced error logging for missing endpoint configurations.
* fix: add abort handling for image generation and editing in OpenAIImageTools
* ci: enhance getLLMConfig tests to verify fetchOptions and dispatcher properties
* fix: use optional chaining for endpointOption properties in getOptions
* fix: increase title generation timeout from 25s to 45s, pass `endpointOption` to `getOptions`
* fix: update file filtering logic in getToolFilesByIds to ensure text field is properly checked
* fix: add error handling for empty OCR results in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance error handling in file upload to include 'No OCR result' message
* chore: update error messages in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance filtering logic in getToolFilesByIds to include context checks for OCR resources to only include files directly attached to agent
---------
Co-authored-by: Matt Burnett <matt.burnett@shopify.com>
* refactor(buildEndpointOption): Improve error logging in middleware, consolidate `isAgents` builder logic, remove adding `modelsConfig` to `endpointOption`
* refactor: parameter extraction and organization in agent services, minimize redundancy of shared fields across objects, make clear distinction of parameters processed uniquely by LibreChat vs LLM Provider Configs
* refactor(createPayload): streamline all endpoints to agent route
* fix: add `modelLabel` to response sender options for agent initialization
* chore: correct log message context in EditController abort controller cleanup
* chore: remove unused abortRequest hook
* chore: remove unused addToCache module and its dependencies
* refactor: remove AskController and related routes, update endpoint URLs (now all streamlined to agents route)
* chore: remove unused bedrock route and its related imports
* refactor: simplify response sender logic for Google endpoint
* chore: add `modelDisplayLabel` handling for agents endpoint
* feat: add file search capability to ephemeral agents, update code interpreter selection based of file upload, consolidate main upload menu for all endpoints
* feat: implement useToolToggle hook for managing tool toggle state, refactor CodeInterpreter and WebSearch components to utilize new hook
* feat: add ToolsDropdown component to BadgeRow for enhanced tool options
* feat: introduce BadgeRowContext and BadgeRowProvider for managing conversation state, refactor related components to utilize context
* feat: implement useMCPSelect hook for managing MCP selection state, refactor MCPSelect component to utilize new hook
* feat: enhance BadgeRowContext with MCPSelect and tool toggle functionality, refactor related components to utilize updated context and hooks
* refactor: streamline useToolToggle hook by integrating setEphemeralAgent directly into toggle logic and removing redundant setValue function
* refactor: consolidate codeApiKeyForm and searchApiKeyForm from CodeInterpreter and WebSearch to utilize new context properties
* refactor: update CheckboxButton to support controlled state and enhance ToolsDropdown with permission-based toggles for web search and code interpreter
* refactor: conditionally render CheckboxButton in CodeInterpreter and WebSearch components for improved UI responsiveness
* chore: add jotai dependency to package.json and package-lock.json
* chore: update brace-expansion package to version 2.0.2 in package-lock.json due to CVE-2025-5889
* Revert "chore: add jotai dependency to package.json and package-lock.json"
This reverts commit 69b6997396.
* refactor: add pinning functionality to CodeInterpreter and WebSearch components, and enhance ToolsDropdown with pin toggle for web search and code interpreter
* chore: move MCPIcon to correct location, remove duplicate
* fix: update MCP import to use type-only import from librechat-data-provider
* feat: implement MCPSubMenu component and integrate pinning functionality into ToolsDropdown
* fix: cycling to submenu by using parent menu context
* feat: add FileSearch component and integrate it into BadgeRow and ToolsDropdown
* chore: import order
* chore: remove agent specific logic that would block functionality for streamlined endpoints
* chore: linting for `createContextHandlers`
* chore: ensure ToolsDropdown doesn't show up for agents
* chore: ensure tool resource is selected when dragged to UI
* chore: update file search behavior to simulate legacy functionality
* feat: ToolDialogs with multiple trigger references, add settings to tool dropdown
* refactor: simplify web search and code interpreter settings checks
* chore: simplify local storage key for pinned state in useToolToggle
* refactor: reinstate agent check in AttachFileChat component, as individual providers will ahve different file configurations
* ci: increase timeout for MongoDB connection in Agent tests
* 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
* 🔄 fix: Include usage in stream options for OpenAI and Azure endpoints
* fix: Agents support for Azure serverless endpoints
* fix: Refactor condition for assistants and azureAssistants endpoint handling
* AWS Titan via Bedrock: model doesn't support system messages, Closes#6456
* fix: Add EndpointSchemaKey type to endpoint parameters in buildDefaultConvo and ensure assistantId is always defined
* fix: Handle new conversation state for assistants endpoint in finalHandler
* fix: Add spec and iconURL parameters to `saveAssistantMessage` to persist modelSpec fields
* fix: Handle assistant unlinking even if no valid files to delete
* chore: move type definitions from callbacks.js to typedefs.js
* chore: Add StandardGraph typedef to typedefs.js
* chore: Update parameter type for graph in ModelEndHandler to StandardGraph
---------
Co-authored-by: Andres Restrepo <andres@enric.ai>
* wip: Add Instructions component for agent configuration
* ✨ feat: Implement DropdownPopup for variable insertion in instructions
* refactor: Enhance variable handling by exporting specialVariables and updating Markdown components
* feat: Add special variable support for current date and user in Instructions component
* refactor: Update handleAddVariable to include localized label
* feat: replace special variables in instructions presets
* chore: update parameter type for user in getListAgents function
* refactor: integrate dayjs for date handling and move replaceSpecialVars function to data-provider
* feat: enhance replaceSpecialVars to include day number in current date format
* feat: integrate replaceSpecialVars for processing agent instructions
* feat: add support for current date & time in replaceSpecialVars function
* feat: add iso_datetime support in replaceSpecialVars function
* fix: enforce text parameter to be a required field in replaceSpecialVars function
* feat: add ISO datetime support in translation file
* fix: disable eslint warning for autoFocus in TextareaAutosize component
* feat: add VariablesDropdown component and integrate it into CreatePromptForm and PromptEditor; update translation for special variables
* fix: CategorySelector and related localizations
* fix: add z-index class to LanguageSTTDropdown for proper stacking context
* fix: add max-height and overflow styles to OGDialogContent in VariableDialog and PreviewPrompt components
* fix: update variable detection logic to exclude special variables and improve regex matching
* fix: improve accessibility text for actions menu in ChatGroupItem component
* fix: adjust max-width and height styles for dialog components and improve markdown rendering for light vs. dark, height/widths, etc.
* fix: remove commented-out code for better readability in PromptVariableGfm component
* fix: handle undefined input parameter in setParams function call
* fix: update variable label types to use TSpecialVarLabel for consistency
* fix: remove outdated information from special variables description in translation file
* fix: enhance unused i18next keys detection for special variable keys
* fix: update color classes for consistency/a11y in category and prompt variable components
* fix: update PromptVariableGfm component and special variable styles for consistency
* fix: improve variable highlighting logic in VariableForm component
* fix: update background color classes for consistency in VariableForm component
* fix: add missing ref parameter to Dialog component in OriginalDialog
* refactor: move navigate call for new conversation to after setConversation update
* refactor: move message query hook to client workspace; fix: handle edge case for navigation from finalHandler creating race condition for response message DB save
* chore: bump librechat-data-provider to 0.7.793
* ci: add unit tests for replaceSpecialVars function
* fix: implement getToolkitKey function for image_gen_oai toolkit filtering/including
* ci: enhance dayjs mock for consistent date/time values in tests
* fix: MCP stdio server fail to start when passing env property
* fix: use optional chaining for clientRef dereferencing in AskController and EditController
feat: add context to saveMessage call in streamResponse utility
* fix: only save error messages if the userMessageId was initialized
* refactor: add isNotAppendable check to disable inputs in ChatForm and useTextarea
* feat: enhance error handling in useEventHandlers and update conversation state in useNewConvo
* refactor: prepend underscore to conversationId in newConversation template
* feat: log aborted conversations with minimal messages and use consistent conversationId generation
---------
Co-authored-by: Olivier Schiavo <olivier.schiavo@wengo.com>
Co-authored-by: aka012 <aka012@neowiz.com>
Co-authored-by: jiasheng <jiashengguo@outlook.com>
* wip: OpenAI Image Generation Tool with customizable options
* WIP: First pass OpenAI Image Generation Tool and integrate into existing tools
* 🔀 fix: Comment out unused validation for image generation tool parameters
* 🔀 refactor: Update primeResources function parameters for better destructuring
* feat: Add image_edit resource to EToolResources and update AgentToolResources interface
* feat: Enhance file retrieval with tool resource filtering for image editing
* refactor: add OpenAI Image Tools for generation and editing, refactor related components, pass current request image attachments as tool resources for editing
* refactor: Remove commented-out code and clean up API key retrieval in createOpenAIImageTools function
* fix: show message attachments in shared links
* fix: Correct parent message retrieval logic for regenerated messages in useChatFunctions
* fix: Update primeResources to utilize requestFileSet for image file processing
* refactor: Improve description for image generation tool and clarify usage conditions, only provide edit tool if there are images available to edit
* chore: Update OpenAI Image Tools icon to use local asset
* refactor: Update image generation tool description and logic to prioritize editing tool when files are uploaded
* refactor: Enhance image tool descriptions to clarify usage conditions and note potential unavailability of uploaded images
* refactor: Update useAttachmentHandler to accept queryClient to update query cache with newly created file
* refactor: Add customizable descriptions and prompts for OpenAI image generation and editing tools
* chore: Update comments to use JSDoc style for better clarity and consistency
* refactor: Rename config variable to clientConfig for clarity and update signal handling in image generation
* refactor: Update axios request configuration to include derived signal and baseURL for improved request handling
* refactor: Update baseURL environment variable for OpenAI image generation tool configuration
* refactor: Enhance axios request configuration with conditional headers and improved clientConfig setup
* chore: Update comments for clarity and remove unnecessary lines in OpenAI image tools
* refactor: Update description for image generation without files to clarify user instructions
* refactor: Simplify target parent message logic for regeneration and resubmission cases
* chore: Remove backticks from error messages in image generation and editing functions
* refactor: Rename toolResources to toolResourceSet for clarity in file retrieval functions
* chore: Remove redundant comments and clean up TODOs in OpenAI image tools
* refactor: Rename fileStrategy to appFileStrategy for clarity and improve error handling in image processing
* chore: Update react-resizable-panels to version 2.1.8 in package.json and package-lock.json
* chore: Ensure required validation for logs and Code of Conduct agreement in bug report template
* fix: Update ArtifactPreview to use startupConfig and currentCode from memoized props to prevent unnecessary re-renders
* fix: improve robustness of `save & submit` when used from a user-message with existing attachments
* fix: add null check for artifact index in CodeEditor to prevent errors, trigger re-render on artifact ID change
* fix: standardize default values for artifact properties in Artifact component, avoiding prematurely setting an "empty/default" artifact
* fix: reset current artifact ID before setting a new one in ArtifactButton to ensure correct state management
* chore: rename `setArtifactId` variable to `setCurrentArtifactId` for consistency
* chore: update type annotations in File and S3 CRUD functions for consistency
* refactor: improve image handling in OpenAI tools by using image_id references and enhance tool context for image editing
* fix: update image_ids schema in image_edit_oai to enforce presence and provide clear guidelines for usage
* fix: enhance file fetching logic to ensure user-specific and dimension-validated results
* chore: add details on image generation and editing capabilities with various models
* 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
* wip: mcp select
* refactor: Update useAvailableToolsQuery to support generic data types
* feat: Enhance MCPSelect to dynamically load server options and improve MultiSelect component styling
* WIP: ephemeral agents
* wip: Add null check for MCPSelect and improve MultiSelect focus handling
* feat: Pass conversationId prop to MCPSelect in BadgeRow to optimize badge rendering
* feat: useApplyNewAgentTemplate hook to manage ephemeral agent upon conversation creation
* WIP: eph. agent payload
* refactor(OpenAIClient): streamline message processing by replacing content handling with parseTextParts function
* feat: enhance applyAgentTemplate function to accept source conversation ID for improved template application
* feat(parsers): add skipReasoning parameter to parseTextParts for conditional reasoning handling
* WIP: first pass, ephemeral agent backend processing
* chore: import order
* feat: update loadEphemeralAgent and loadAgent functions to accept model_parameters for enhanced agent configuration
* feat: add showMCPServers prop to BadgeRow for conditional rendering of MCPSelect, fix react rule violation
* feat: enhance MCPSelect with localized placeholder and custom icon, add renderSelectedValues callback
* feat: simplify message processing in AnthropicClient by replacing content handling with parseTextParts function
* feat: implement useLocalStorage hook for managing MCP values and update MCPSelect to utilize it
* chore: remove chatGPTBrowserSchema from endpoint schemas and update types for improved schema management
* chore: remove compactChatGPTSchema from endpoint schemas and update types for better schema management
* refactor: rename schemas for clarity and improve schema management
* feat: extend model detection to include 'codestral' alongside 'mistral'
* feat: add endpointType parameter to buildOptions and initializeClient functions
* fix: update condition for handling completion in BaseClient to include agents client
* refactor: simplify payload parsing logic in AgentClient and remove unused providerParsers
* refactor: change useSetRecoilState to useRecoilState for better state management in MCPSelect component
* refactor: streamline chat route handlers by consolidating middleware and improving endpoint structure
* style: update MCPSelect and MultiSelect components for improved layout in mobile view
* v0.7.790
* feat: add getMessageMapMethod to process message text and content in GoogleClient
* chore: include LAST_MCP_ key prefix in clearLocalStorage function for proper teardown on logout
* 🔧 refactor: Remove modelSpecs prop from ModelSelector and related components
* fix: Update submission.conversationId references in SSE hooks and data types as was incorrectly typed
* feat: Allow showing specific endpoints alongside model specs via `addedEndpoints` field
* feat: allowed agents providers via `agents.allowedProviders` field
* fix: bump dicebear/sharp dependencies to resolve CVE-2024-12905 and improve avatar gen logic
* fix: rename variable for clarity in loadDefaultInterface function
* fix: add keepAddedConvos option to newConversation calls for modular chat support
* fix: include model information in endpoint selection for improved context
* fix: update data-provider version to 0.7.78 and increment config version to 1.2.4
* chore: bump Model Context Protocol SDK dependencies
* fix: correct indentation in MCPConnection class
* refactor: enhance SSE transport with abort controller and add error handling for empty results
* chore: remove outdated Model Context Protocol SDK dependency
* chore: update @modelcontextprotocol/sdk dependency to version 1.7.0
* chore: add debugging comments for PingRequest handling in MCPConnection class
* refactor: update callTool method to accept structured arguments and options
* refactor: simplify maxContextTokens calculation in initializeAgentOptions
* chore: update @babel/runtime dependency to version 7.26.10
* chore: update @librechat/agents dependency to version 2.2.9
* chore: update @librechat/agents dependency to version 2.3.6
* refactor: imports and prevent s3 initialization if strategy not configured
* refactor: mark redis as non-experimental
* refactor: add missing `maxContextTokens` for OpenAI parameters
* refactor: improve log message for Redis initialization
* chore: update @librechat/agents dependency to version 2.3.8
* refactor: extend `streamBuffer` condition to include BEDROCK provider as easily gets throttled by AWS
* refactor: filter out 'think' parts from message content in Anthropic and OpenAI clients
* style: Update text file source icon background color for improved visibility in light mode
* style: Update `vectordb` source icon background color for better visibility
* fix: resend files behavior for tool resource message attachments (code interpreter and file search); Rename `getToolFiles` to `getConvoFiles` and simplify file retrieval logic; add `getToolFilesByIds` for fetching tool files by IDs
* fix: Enhance MCP initialization to process environment variables
* fix: only build tokenCountMap with messages that are being used in the payload
* fix: Adjust maxContextTokens calculation to account for maxOutputTokens
* refactor: Make processMCPEnv optional in MCPManager initialization
* chore: Bump version of librechat-data-provider to 0.7.73
* 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
* refactor: move `loadAuthValues` to `~/services/Tools/credentials`
* feat: add createAxiosInstance function to configure axios with proxy support
* WIP: First pass mistral ocr
* refactor: replace getConvoFiles with getToolFiles for improved file retrieval logic
* refactor: improve document formatting in encodeAndFormat function
* refactor: remove unused resendFiles parameter from buildOptions function (this option comes from the agent config)
* fix: update getFiles call to include files with `text` property as well
* refactor: move file handling to `initializeAgentOptions`
* refactor: enhance addImageURLs method to handle OCR text and improve message formatting
* refactor: update message formatting to handle OCR text in various content types
* refactor: remove unused resendFiles property from compactAgentsSchema
* fix: add error handling for Mistral OCR document upload and logging
* refactor: integrate OCR capability into file upload options and configuration
* refactor: skip processing for text source files in delete request, as they are directly tied to database
* feat: add metadata field to ExtendedFile type and update PanelColumns and PanelTable components for localization and metadata handling
* fix: source icon styling
* wip: first pass, frontend file context agent resources
* refactor: add hover card with contextual information for File Context (OCR) in FileContext component
* feat: enhance file processing by integrating file retrieval for OCR resources in agent initialization
* feat: implement OCR config; fix: agent resource deletion for ocr files
* feat: enhance agent initialization by adding OCR capability check in resource priming
* ci: fix `~/config` module mock
* ci: add OCR property expectation in AppService tests
* refactor: simplify OCR config loading by removing environment variable extraction, to be done when OCR is actually performed
* ci: add unit test to ensure environment variable references are not parsed in OCR config
* refactor: disable base64 image inclusion in OCR request
* refactor: enhance OCR configuration handling by validating environment variables and providing defaults
* refactor: use file stream from disk for mistral ocr api
* 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>
* feat: Add thinking and thinkingBudget parameters for Bedrock Anthropic models
* chore: Update @librechat/agents to version 2.1.8
* refactor: change region order in params
* refactor: Add maxTokens parameter to conversation preset schema
* refactor: Update agent client to use bedrockInputSchema and improve error handling for model parameters
* refactor: streamline/optimize llmConfig initialization and saving for bedrock
* fix: ensure config titleModel is used for all endpoints
* refactor: enhance OpenAIClient and agent initialization to support endpoint checks for OpenRouter
* chore: bump @google/generative-ai
* fix: handling of top_k and top_p parameters for Claude-3.7 models (allowed without reasoning)
* feat: bump @librechat/agents for Anthropic Reasoning support
* fix: update reasoning handling for OpenRouter integration
* fix: enhance agent token spending logic to include cache creation and read details
* fix: update logic for thinking status in ContentParts component
* refactor: improve agent title handling
* chore: bump @librechat/agents to version 2.1.7 for parallel tool calling for Google models
* chore: bump https-proxy-agent and @librechat/agents
* refactor: Improve error logging in OllamaClient for API fetch failures
* feat: Add DeepSeek provider support and enhance provider name handling
* refactor: Use Providers.OLLAMA constant for model name check in fetchModels function
* feat: Enhance formatAgentMessages to handle reasoning content type
* feat: OpenRouter Agent Reasoning
* hard work and dedicationgit add .env.example :)
* fix: Handle Google social login with missing last name
Social login with Google was previously displaying 'undefined' when
a user's last name was empty or not provided.
Changes:
- Conditionally render last name only if it exists
- Prevent displaying 'undefined' when last name is missing
* fix: add missing file endings for developers yml,yaml and log
---------
Co-authored-by: Mohamed Al-Duraji <mbalduraji@college.harvard.edu>
Co-authored-by: Deepak Kendole <deepakdpk101@gmail.com>
Co-authored-by: Peter Rothlaender <peter.rothlaender@ginkgo.com>
* refactor: remove artifacts toggle
* refactor: allow hiding side panel while allowing artifacts view
* chore: rename SidePanelGroup to SidePanel for clarity
* Revert "refactor: remove artifacts toggle"
This reverts commit f884c2cfcd.
* feat: add artifacts capability to agent configuration
* refactor: conditionally set artifacts mode based on endpoint type
* feat: Artifacts Capability for Agents
* refactor: enhance getStreamText method to handle intermediate replies and add `stream_options` for openai/azure
* feat: localize progress text and improve UX in CodeAnalyze and ExecuteCode components for expanding analysis
* ✨feat: OAuth for Actions
* WIP: PoC flow state manager
* refactor: Add identifier field to token model from action schema
* chore: fix potential file type issues
* ci: fix type issue with action metadata auth
* fix: ensure FlowManagerOptions has a default ttl value
* WIP: OAUTH actions
* WIP: first pass OAuth Action
* fix: standardize identifier usage in OAuth flow handling
* fix: update token retrieval to include userId in query and use correct identifier
* refacotr: update token retrieval to use userId for OAuth token query
* feat: Tool Call Auth styling
* fix: streamline token creation and add type field to token schema
* refactor: cleanup OAuth flow by encrypting client credentials and ensuring oauth operations only run under condition
* refactor: use encrypted credentials in OAuth callback
* fix: update Token collection indexes to use expiresAt TTL index and not createdAt legacy index
* refactor: enhance Token index cleanup by improving logging and removing redundant index creation logic
* refactor: remove unused OAuth login route and related logic for improved clarity
* refactor: replace fetch with axios for OAuth token exchange and improve error handling
* refactor: better UX after authentication before oauth tool execution
* refactor: implement cleanup handlers for FlowStateManager intervals to enhance resource management
* refactor: encrypt OAuth tokens before storing and decrypt upon retrieval for enhanced security
* refactor: enhance authentication success page with improved styling and countdown feature
* refactor: add response_type parameter to OAuth redirect URI for improved compatibility
* chore: update translation.json new localizations
* chore: remove unused OGDialog import from OGDialogTemplate component
* refactor: Actions Auth using new Dialog styling, use same component with Agents/Assistants
* refactor: update removeNullishValues function to support removal of empty strings and adjust transform usage in schemas
* chore: bump version of librechat-data-provider to 0.7.6991
* refactor: integrate removeNullishValues function to clean metadata before encryption in agent and assistant routes
* refactor: update OAuth input fields to use 'password' type for better security
* refactor: update localization placeholders for sign-in message to use double curly braces
* refactor: add access_type parameter for offline access in createActionTool function
* refactor: implement handleOAuthToken function for token management and encryption
* feat: refresh token support
* refactor: add default expiration for access token and error handling for missing token
* feat: localizations for ActionAuth
* refactor: set refresh token expiration to null to not expire if expiry never given
* fix: prevent crash fromerror within async handleAbortError in AskController, EditController, and AgentController
* feat: Action Callback URL
* 🌍 i18n: Update translation.json with latest translations
* refactor: handle errors in flow state checking to prevent unhandled promise rejections
* fix: improve flow state concurrency to prevent multiple token creation calls
* refactor: RequestExecutor to use separate axios instance
* refactor: improve concurrency flows by keeping completed state until TTL expiry
* refactor: increase TTL for flow state management and adjust monitoring interval
* ci: mock axios instance creation in actions spec
* feat: add Babel and Jest configuration files; implement FlowStateManager tests with concurrency handling
* chore: add disableOAuth prop to ActionsAuth (not implemented for Assistants yet)
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix: agent modelSpec iconURLs not being recorded
* fix: prioritize message properties over conversation defaults in icon data
* fix: determine endpoint type from endpointsConfig
* chore: type issue with setting.columnSpan
* chore: remove redundant key indexing for keySchema
* chore: bump version to 0.7.691 in package.json
* chore: add stricter remark-gfm and mdast-util-gfm resolutions/overrides
* chore: remove rollup override and bump vite-plugin-pwa
* chore: reinstall remark-gfm for correct module resolution
* chore: reinstall vite-plugun-pwa
* 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
