* chore: remove projects and projectIds usage
* chore: empty line linting
* chore: remove isCollaborative property across agent models and related tests
- Removed the isCollaborative property from agent models, controllers, and tests, as it is deprecated in favor of ACL permissions.
- Updated related validation schemas and data provider types to reflect this change.
- Ensured all references to isCollaborative were stripped from the codebase to maintain consistency and clarity.
* 🧠 feat: Add Thinking Level Config for Gemini 3 Models
- Introduced a new setting for 'thinking level' in the Google configuration, allowing users to control the depth of reasoning for Gemini 3 models.
- Updated translation files to include the new 'thinking level' label and description.
- Enhanced the Google LLM configuration to support the new 'thinking level' parameter, ensuring compatibility with both Google and Vertex AI providers.
- Added necessary schema and type definitions to accommodate the new setting across the data provider and API layers.
* test: Google LLM Configuration for Gemini 3 Models
- Added tests to validate default thinking configuration for Gemini 3 models, ensuring `thinkingConfig` is set correctly without `thinkingLevel`.
- Implemented logic to ignore `thinkingBudget` for Gemini 3+ models, confirming that it does not affect the configuration.
- Included a test to verify that `gemini-2.9-flash` is not classified as a Gemini 3+ model, maintaining expected behavior for earlier versions.
- Updated existing tests to ensure comprehensive coverage of the new configurations and behaviors.
* fix: Update translation for Google LLM thinking settings
- Revised descriptions for 'thinking budget' and 'thinking level' in the English translation file to clarify their applicability to different Gemini model versions.
- Ensured that the new descriptions accurately reflect the functionality and usage of the settings for Gemini 2.5 and 3 models.
* docs: Update comments for Gemini 3+ thinking configuration
- Added detailed comments in the Google LLM configuration to clarify the differences between `thinkingLevel` and `thinkingBudget` for Gemini 3+ models.
- Explained the necessity of `includeThoughts` in Vertex AI requests and how it interacts with `thinkingConfig` for improved understanding of the configuration logic.
* fix: Update comment for Gemini 3 model versioning
- Corrected comment in the configuration file to reflect the proper versioning for Gemini models, changing "Gemini 3.0 Models" to "Gemini 3 Models" for clarity and consistency.
* fix: Update thinkingLevel schema for Gemini 3 Models
- Removed nullable option from the thinkingLevel field in the tConversationSchema to ensure it is always defined when present, aligning with the intended configuration for Gemini 3 models.
* 🧠 feat: Add reasoning_effort configuration for Bedrock models
- Introduced a new `reasoning_effort` setting in the Bedrock configuration, allowing users to specify the reasoning level for supported models.
- Updated the input parser to map `reasoning_effort` to `reasoning_config` for Moonshot and ZAI models, ensuring proper handling of reasoning levels.
- Enhanced tests to validate the mapping of `reasoning_effort` to `reasoning_config` and to ensure correct behavior for various model types, including Anthropic models.
- Updated translation files to include descriptions for the new configuration option.
* chore: Update translation keys for Bedrock reasoning configuration
- Renamed translation key from `com_endpoint_bedrock_reasoning_config` to `com_endpoint_bedrock_reasoning_effort` for consistency with the new configuration setting.
- Updated the parameter settings to reflect the change in the description key, ensuring accurate mapping in the application.
* 🧪 test: Enhance bedrockInputParser tests for reasoning_config handling
- Added tests to ensure that stale `reasoning_config` is stripped when switching models from Moonshot to Meta and ZAI to DeepSeek.
- Included additional tests to verify that `reasoning_effort` values of "none", "minimal", and "xhigh" do not forward to `reasoning_config` for Moonshot and ZAI models.
- Improved coverage for the bedrockInputParser functionality to ensure correct behavior across various model configurations.
* feat: Introduce Bedrock reasoning configuration and update input parser
- Added a new `BedrockReasoningConfig` enum to define reasoning levels: low, medium, and high.
- Updated the `bedrockInputParser` to utilize the new reasoning configuration, ensuring proper handling of `reasoning_effort` values.
- Enhanced logic to validate `reasoning_effort` against the defined configuration values before assigning to `reasoning_config`.
- Improved code clarity with additional comments and refactored conditions for better readability.
* chore: saveToCloudStorage function and enhance error handling
- Removed unnecessary parameters and streamlined the logic for saving images to cloud storage.
- Introduced buffer handling for base64 image data and improved the integration with file strategy functions.
- Enhanced error handling during local image saving to ensure robustness.
- Updated the createGeminiImageTool function to reflect changes in the saveToCloudStorage implementation.
* refactor: streamline image persistence logic in GeminiImageGen
- Consolidated image saving functionality by renaming and refactoring the saveToCloudStorage function to persistGeneratedImage.
- Improved error handling and logging for image persistence operations.
- Enhanced the replaceUnwantedChars function to better sanitize input strings.
- Updated createGeminiImageTool to reflect changes in image handling and ensure consistent behavior across storage strategies.
* fix: clean up GeminiImageGen by removing unused functions and improving logging
- Removed the getSafeFormat and persistGeneratedImage functions to streamline image handling.
- Updated logging in createGeminiImageTool for clarity and consistency.
- Consolidated imports by eliminating unused dependencies, enhancing code maintainability.
* chore: update environment configuration and manifest for unused GEMINI_VERTEX_ENABLED
- Removed the Vertex AI configuration option from .env.example to simplify setup.
- Updated the manifest.json to reflect the removal of the Vertex AI dependency in the authentication field.
- Cleaned up the createGeminiImageTool function by eliminating unused fields related to Vertex AI, streamlining the code.
* fix: update loadAuthValues call in loadTools function for GeminiImageGen tool
- Modified the loadAuthValues function call to include throwError: false, preventing exceptions on authentication failures.
- Removed the unused processFileURL parameter from the tool context object, streamlining the code.
* refactor: streamline GoogleGenAI initialization in GeminiImageGen
- Removed unused file system access check for Google application credentials, simplifying the environment setup.
- Added googleAuthOptions to the GoogleGenAI instantiation, enhancing the configuration for authentication.
* fix: update Gemini API Key label and description in manifest.json
- Changed the label to indicate that the Gemini API Key is optional.
- Revised the description to clarify usage with Vertex AI and service accounts, enhancing user guidance.
* fix: enhance abort signal handling in createGeminiImageTool
- Introduced derivedSignal to manage abort events during image generation, improving responsiveness to cancellation requests.
- Added an abortHandler to log when image generation is aborted, enhancing debugging capabilities.
- Ensured proper cleanup of event listeners in the finally block to prevent memory leaks.
* fix: update authentication handling for plugins to support optional fields
- Added support for optional authentication fields in the manifest and PluginAuthForm.
- Updated the checkPluginAuth function to correctly validate plugins with optional fields.
- Enhanced tests to cover scenarios with optional authentication fields, ensuring accurate validation logic.
* feat: add aws bedrock upload to provider support
* chore: address copilot comments
* feat: add shared Bedrock document format types and MIME mapping
Bedrock Converse API accepts 9 document formats beyond PDF. Add
BedrockDocumentFormat union type, MIME-to-format mapping, and helpers
in data-provider so both client and backend can reference them.
* refactor: generalize Bedrock PDF validation to support all document types
Rename validateBedrockPdf to validateBedrockDocument with MIME-aware
logic: 4.5MB hard limit applies to all types, PDF header check only
runs for application/pdf. Adds test coverage for non-PDF documents.
* feat: support all Bedrock document formats in encoding pipeline
Widen file type gates to accept csv, doc, docx, xls, xlsx, html, txt,
md for Bedrock. Uses shared MIME-to-format map instead of hardcoded
'pdf'. Other providers' PDF-only paths remain unchanged.
* feat: expand Bedrock file upload UI to accept all document types
Add 'image_document_extended' upload type for Bedrock with accept
filters for all 9 supported formats. Update drag-and-drop validation
to use isBedrockDocumentType helper.
* fix: route Bedrock document types through provider pipeline
Add OpenAI as a Bedrock provider so that selecting openai.gpt-oss-*
models in the Bedrock agent UI renders the general parameter settings
(temperature, top_p, max_tokens) instead of a blank panel. Also add
token context lengths (128K) for gpt-oss-20b and gpt-oss-120b.
- Introduced new model entries for 'moonshotai.kimi' and 'moonshotai.kimi-k2.5' in tokens.ts.
- Updated parameterSettings.ts to include configurations for MoonshotAI and ZAI providers.
- Enhanced schemas.ts by adding MoonshotAI and ZAI to the BedrockProviders enum for better integration.
* feat: Implement new features for Claude Opus 4.6 model
- Added support for tiered pricing based on input token count for the Claude Opus 4.6 model.
- Updated token value calculations to include inputTokenCount for accurate pricing.
- Enhanced transaction handling to apply premium rates when input tokens exceed defined thresholds.
- Introduced comprehensive tests to validate pricing logic for both standard and premium rates across various scenarios.
- Updated related utility functions and models to accommodate new pricing structure.
This change improves the flexibility and accuracy of token pricing for the Claude Opus 4.6 model, ensuring users are charged appropriately based on their usage.
* feat: Add effort field to conversation and preset schemas
- Introduced a new optional `effort` field of type `String` in both the `IPreset` and `IConversation` interfaces.
- Updated the `conversationPreset` schema to include the `effort` field, enhancing the data structure for better context management.
* chore: Clean up unused variable and comments in initialize function
* chore: update dependencies and SDK versions
- Updated @anthropic-ai/sdk to version 0.73.0 in package.json and overrides.
- Updated @anthropic-ai/vertex-sdk to version 0.14.3 in packages/api/package.json.
- Updated @librechat/agents to version 3.1.34 in packages/api/package.json.
- Refactored imports in packages/api/src/endpoints/anthropic/vertex.ts for consistency.
* chore: remove postcss-loader from dependencies
* feat: Bedrock model support for adaptive thinking configuration
- Updated .env.example to include new Bedrock model IDs for Claude Opus 4.6.
- Refactored bedrockInputParser to support adaptive thinking for Opus models, allowing for dynamic thinking configurations.
- Introduced a new function to check model compatibility with adaptive thinking.
- Added an optional `effort` field to the input schemas and updated related configurations.
- Enhanced tests to validate the new adaptive thinking logic and model configurations.
* feat: Add tests for Opus 4.6 adaptive thinking configuration
* feat: Update model references for Opus 4.6 by removing version suffix
* feat: Update @librechat/agents to version 3.1.35 in package.json and package-lock.json
* chore: @librechat/agents to version 3.1.36 in package.json and package-lock.json
* feat: Normalize inputTokenCount for spendTokens and enhance transaction handling
- Introduced normalization for promptTokens to ensure inputTokenCount does not go negative.
- Updated transaction logic to reflect normalized inputTokenCount in pricing calculations.
- Added comprehensive tests to validate the new normalization logic and its impact on transaction rates for both standard and premium models.
- Refactored related functions to improve clarity and maintainability of token value calculations.
* chore: Simplify adaptive thinking configuration in helpers.ts
- Removed unnecessary type casting for the thinking property in updatedOptions.
- Ensured that adaptive thinking is directly assigned when conditions are met, improving code clarity.
* refactor: Replace hard-coded token values with dynamic retrieval from maxTokensMap in model tests
* fix: Ensure non-negative token values in spendTokens calculations
- Updated token value retrieval to use Math.max for prompt and completion tokens, preventing negative values.
- Enhanced clarity in token calculations for both prompt and completion transactions.
* test: Add test for normalization of negative structured token values in spendStructuredTokens
- Implemented a test to ensure that negative structured token values are normalized to zero during token spending.
- Verified that the transaction rates remain consistent with the expected standard values after normalization.
* refactor: Bedrock model support for adaptive thinking and context handling
- Added tests for various alternate naming conventions of Claude models to validate adaptive thinking and context support.
- Refactored `supportsAdaptiveThinking` and `supportsContext1m` functions to utilize new parsing methods for model version extraction.
- Updated `bedrockInputParser` to handle effort configurations more effectively and strip unnecessary fields for non-adaptive models.
- Improved handling of anthropic model configurations in the input parser.
* fix: Improve token value retrieval in getMultiplier function
- Updated the token value retrieval logic to use optional chaining for better safety against undefined values.
- Added a test case to ensure that the function returns the default rate when the provided valueKey does not exist in tokenValues.
* ✨ feat: Add Moonshot Provider Support
- Updated the `isKnownCustomProvider` function to include `Providers.MOONSHOT` in the list of recognized custom providers.
- Enhanced the `providerConfigMap` to initialize `MOONSHOT` with the custom initialization function.
- Introduced `MoonshotIcon` component for visual representation in the UI, integrated into the `UnknownIcon` component.
- Updated various files across the API and client to support the new `MOONSHOT` provider, including configuration and response handling.
This update expands the capabilities of the application by integrating support for the Moonshot provider, enhancing both backend and frontend functionalities.
* ✨ feat: Add Moonshot/Kimi Model Pricing and Tests
- Introduced new pricing configurations for Moonshot and Kimi models in `tx.js`, including various model variations and their respective prompt and completion values.
- Expanded unit tests in `tx.spec.js` and `tokens.spec.js` to validate pricing and token limits for the newly added Moonshot/Kimi models, ensuring accurate calculations and handling of model variations.
- Updated utility functions to support the new model structures and ensure compatibility with existing functionalities.
This update enhances the pricing model capabilities and improves test coverage for the Moonshot/Kimi integration.
* ✨ feat: Enhance Token Pricing Documentation and Configuration
- Added comprehensive documentation for token pricing configuration in `tx.js` and `tokens.ts`, emphasizing the importance of key ordering for pattern matching.
- Clarified the process for defining base and specific patterns to ensure accurate pricing retrieval based on model names.
- Improved code comments to guide future additions of model families, enhancing maintainability and understanding of the pricing structure.
This update improves the clarity and usability of the token pricing configuration, facilitating better integration and future enhancements.
* chore: import order
* chore: linting
* WIP: code ptc
* refactor: tool classification and calling logic
* 🔧 fix: Update @librechat/agents dependency to version 3.0.68
* chore: import order and correct renamed tool name for tool search
* refactor: streamline tool classification logic for local and programmatic tools
* feat: add per-tool configuration options for agents, including deferred loading and allowed callers
- Introduced `tool_options` in agent forms to manage tool behavior.
- Updated tool classification logic to prioritize agent-level configurations.
- Enhanced UI components to support tool deferral functionality.
- Added localization strings for new tool options and actions.
* feat: enhance agent schema with per-tool options for configuration
- Added `tool_options` schema to support per-tool configurations, including `defer_loading` and `allowed_callers`.
- Updated agent data model to incorporate new tool options, ensuring flexibility in tool behavior management.
- Modified type definitions to reflect the new `tool_options` structure for agents.
* feat: add tool_options parameter to loadTools and initializeAgent for enhanced agent configuration
* chore: update @librechat/agents dependency to version 3.0.71 and enhance agent tool loading logic
- Updated the @librechat/agents package to version 3.0.71 across multiple files.
- Added support for handling deferred loading of tools in agent initialization and execution processes.
- Improved the extraction of discovered tools from message history to optimize tool loading behavior.
* chore: update @librechat/agents dependency to version 3.0.72
* chore: update @librechat/agents dependency to version 3.0.75
* refactor: simplify tool defer loading logic in MCPTool component
- Removed local state management for deferred tools, relying on form state instead.
- Updated related functions to directly use form values for checking and toggling defer loading.
- Cleaned up code by eliminating unnecessary optimistic updates and local state dependencies.
* chore: remove deprecated localization strings for tool deferral in translation.json
- Eliminated unused strings related to deferred loading descriptions in the English translation file.
- Streamlined localization to reflect recent changes in tool loading logic.
* refactor: improve tool defer loading handling in MCPTool component
- Enhanced the logic for managing deferred loading of tools by simplifying the update process for tool options.
- Ensured that the state reflects the correct loading behavior based on the new deferred loading conditions.
- Cleaned up the code to remove unnecessary complexity in handling tool options.
* refactor: update agent mocks in callbacks test to use actual implementations
- Modified the agent mocks in the callbacks test to include actual implementations from the @librechat/agents module.
- This change enhances the accuracy of the tests by ensuring they reflect the real behavior of the agent functions.
* feat(bedrock): add Moonshot Kimi K2 Thinking model support
- Add Moonshot provider to BedrockProviders enum
- Add Moonshot-specific parameter settings with 16384 default max tokens
- Add conditional for anthropic_beta to only apply to Anthropic models
- Kimi K2 Thinking model: moonshot.kimi-k2-thinking (256K context)
* Delete add-kimi-bedrock.md
* Remove comment on anthropic_beta condition
Remove comment about adding anthropic_beta for Anthropic models.
* chore: enum order
* feat(bedrock): add tests to ensure anthropic_beta is not added to Moonshot Kimi K2 and DeepSeek models
---------
Co-authored-by: Danny Avila <danacordially@gmail.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
When users don't explicitly set `maxOutputTokens` in Google/Gemini endpoint
settings, LibreChat was sending `"maxOutputTokens": ""` instead of omitting
the field. This caused issues with Gemini SDK and AI reverse proxies that
expect numeric types.
Changes:
- Add `removeEmptyStrings=true` to `removeNullishValues()` in googleSchema
- Add `removeEmptyStrings=true` to `removeNullishValues()` in compactGoogleSchema
- Add `removeEmptyStrings=true` to `removeNullishValues()` in getGoogleConfig()
- Create comprehensive test suite for Google endpoint (45 tests)
The fix ensures empty strings for numeric fields like maxOutputTokens,
temperature, topP, and topK are properly removed from the request payload.
Closes#11187
* fix: only show upload to provider for azureOpenAi when use responses api is true
* fix: model_parameters not available on first load so Upload Image incorrectly shown - now we query if not populated
* test: update tests for new azureOpenAI Responses API logic
* chore: correct order of headers in OAuth request to ensure proper content type is set
* fix: add useResponsesApi prop to AttachFileMenu and DragDropModal components
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* 💻 feat: deeper MCP UI integration in the chat UI using plugins
---------
Co-authored-by: Samuel Path <samuel.path@shopify.com>
Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com>
* 💻 refactor: Migrate MCP UI resources from index-based to ID-based referencing
- Replace index-based resource markers with stable resource IDs
- Update plugin to parse \ui{resourceId} format instead of \ui0
- Refactor components to use useMessagesOperations instead of useSubmitMessage
- Add ShareMessagesProvider for UI resources in share view
- Add useConversationUIResources hook for cross-turn resource lookups
- Update parsers to generate resource IDs from content hashes
- Update all tests to use resource IDs instead of indices
- Add sandbox permissions for iframe popups
- Remove deprecated MCP tool context instructions
---------
Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com>
* 🗑️ chore: Remove unused Legacy Provider clients and related helpers
* Deleted OpenAIClient and GoogleClient files along with their associated tests.
* Removed references to these clients in the clients index file.
* Cleaned up typedefs by removing the OpenAISpecClient export.
* Updated chat controllers to use the OpenAI SDK directly instead of the removed client classes.
* chore/remove-openapi-specs
* 🗑️ chore: Remove unused mergeSort and misc utility functions
* Deleted mergeSort.js and misc.js files as they are no longer needed.
* Removed references to cleanUpPrimaryKeyValue in messages.js and adjusted related logic.
* Updated mongoMeili.ts to eliminate local implementations of removed functions.
* chore: remove legacy endpoints
* chore: remove all plugins endpoint related code
* chore: remove unused prompt handling code and clean up imports
* Deleted handleInputs.js and instructions.js files as they are no longer needed.
* Removed references to these files in the prompts index.js.
* Updated docker-compose.yml to simplify reverse proxy configuration.
* chore: remove unused LightningIcon import from Icons.tsx
* chore: clean up translation.json by removing deprecated and unused keys
* chore: update Jest configuration and remove unused mock file
* Simplified the setupFiles array in jest.config.js by removing the fetchEventSource mock.
* Deleted the fetchEventSource.js mock file as it is no longer needed.
* fix: simplify endpoint type check in Landing and ConversationStarters components
* Updated the endpoint type check to use strict equality for better clarity and performance.
* Ensured consistency in the handling of the azureOpenAI endpoint across both components.
* chore: remove unused dependencies from package.json and package-lock.json
* chore: remove legacy EditController, associated routes and imports
* chore: update banResponse logic to refine request handling for banned users
* chore: remove unused validateEndpoint middleware and its references
* chore: remove unused 'res' parameter from initializeClient in multiple endpoint files
* chore: remove unused 'isSmallScreen' prop from BookmarkNav and NewChat components; clean up imports in ArchivedChatsTable and useSetIndexOptions hooks; enhance localization in PromptVersions
* chore: remove unused import of Constants and TMessage from MobileNav; retain only necessary QueryKeys import
* chore: remove unused TResPlugin type and related references; clean up imports in types and schemas
* 🔧 fix: Correct URL Construction in fetchModels Function
Updated the URL construction in the fetchModels function to ensure proper formatting by removing trailing slashes from the base URL. This change prevents potential issues with API endpoint calls.
* 🔧 fix: Remove OLLAMA from Known Custom Providers
Updated the isKnownCustomProvider function and providerConfigMap to exclude OLLAMA as a known custom provider, streamlining the provider checks and configurations.
* 🔧 test: Enhance fetchModels Tests for URL Construction
Added new test cases to validate the URL construction in the fetchModels function, ensuring it handles trailing slashes correctly and appends query parameters as expected. This improves the robustness of the API endpoint calls.
* chore: remove ollama provider-specific handling
* chore: Refactor imports to use isUserProvided from @librechat/api
* 🤖 feat: Claude Opus 4.5 Token Rates and Window Limits
- Introduced new model 'claude-opus-4-5' with defined prompt and completion values in tokenValues and cacheTokenValues.
- Updated tests to validate prompt, completion, and cache rates for the new model.
- Enhanced model name handling to accommodate variations for 'claude-opus-4-5' across different contexts.
- Adjusted schemas to ensure correct max output token limits for the new model.
* ci: Add tests for "prompt-caching" beta header in Claude Opus 4.5 models
- Implemented tests to verify the addition of the "prompt-caching" beta header for the 'claude-opus-4-5' model and its variations.
- Updated future-proofing logic to ensure correct max token limits for Claude 4.x and 5.x Opus models, adjusting defaults to 64K where applicable.
- Enhanced existing tests to reflect changes in expected max token values for future Claude models.
* chore: Remove redundant max output check for Anthropic settings
- Eliminated the unnecessary check for ANTHROPIC_MAX_OUTPUT in the anthropicSettings schema, streamlining the logic for handling max output values.
* chore: update @librechat/agents dependency to version 3.0.18
* refactor: add optional metadata field to message schema and types
* chore: update @librechat/agents to v3.0.19
* refactor: update return type of sendCompletion method to include metadata
* chore: linting
* chore: update @librechat/agents dependency to v3.0.20
* refactor: implement agent labeling for conversation history in multi-agent scenarios
* refactor: improve error handling for capturing agent ID map in AgentClient
* refactor: clear agentIdMap and related properties during client disposal to prevent memory leaks
* chore: update sendCompletion method for FakeClient to return an object with completion and metadata fields
* feat: Add support for agent handoffs with edges in agent forms and schemas
chore: Mark `agent_ids` field as deprecated in favor of edges across various schemas and types
chore: Update dependencies for @langchain/core and @librechat/agents to latest versions
chore: Update peer dependency for @librechat/agents to version 3.0.0-rc2 in package.json
chore: Update @librechat/agents dependency to version 3.0.0-rc3 in package.json and package-lock.json
feat: first pass, multi-agent handoffs
fix: update output type to ToolMessage in memory handling functions
fix: improve type checking for graphConfig in createRun function
refactor: remove unused content filtering logic in AgentClient
chore: update @librechat/agents dependency to version 3.0.0-rc4 in package.json and package-lock.json
fix: update @langchain/core peer dependency version to ^0.3.72 in package.json and package-lock.json
fix: update @librechat/agents dependency to version 3.0.0-rc6 in package.json and package-lock.json; refactor stream rate handling in various endpoints
feat: Agent handoff UI
chore: update @librechat/agents dependency to version 3.0.0-rc8 in package.json and package-lock.json
fix: improve hasInfo condition and adjust UI element classes in AgentHandoff component
refactor: remove current fixed agent display from AgentHandoffs component due to redundancy
feat: enhance AgentHandoffs UI with localized beta label and improved layout
chore: update @librechat/agents dependency to version 3.0.0-rc10 in package.json and package-lock.json
feat: add `createSequentialChainEdges` function to add back agent chaining via multi-agents
feat: update `createSequentialChainEdges` call to only provide conversation context between agents
feat: deprecate Agent Chain functionality and update related methods for improved clarity
* chore: update @librechat/agents dependency to version 3.0.0-rc11 in package.json and package-lock.json
* refactor: remove unused addCacheControl function and related imports and import from @librechat/agents
* chore: remove unused i18n keys
* refactor: remove unused format export from index.ts
* chore: update @librechat/agents to v3.0.0-rc13
* chore: remove BEDROCK_LEGACY provider from Providers enum
* chore: update @librechat/agents to version 3.0.2 in package.json
* 📎 feat: Direct Provider Attachment Support for Multimodal Content
* 📑 feat: Anthropic Direct Provider Upload (#9072)
* feat: implement Anthropic native PDF support with document preservation
- Add comprehensive debug logging throughout PDF processing pipeline
- Refactor attachment processing to separate image and document handling
- Create distinct addImageURLs(), addDocuments(), and processAttachments() methods
- Fix critical bugs in stream handling and parameter passing
- Add streamToBuffer utility for proper stream-to-buffer conversion
- Remove api/agents submodule from repository
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: remove out of scope formatting changes
* fix: stop duplication of file in chat on end of response stream
* chore: bring back file search and ocr options
* chore: localize upload to provider string in file menu
* refactor: change createMenuItems args to fit new pattern introduced by anthropic-native-pdf-support
* feat: add cache point for pdfs processed by anthropic endpoint since they are unlikely to change and should benefit from caching
* feat: combine Upload Image into Upload to Provider since they both perform direct upload and change provider upload icon to reflect multimodal upload
* feat: add citations support according to docs
* refactor: remove redundant 'document' check since documents are handled properly by formatMessage in the agents repo now
* refactor: change upload logic so anthropic endpoint isn't exempted from normal upload path using Agents for consistency with the rest of the upload logic
* fix: include width and height in return from uploadLocalFile so images are correctly identified when going through an AgentUpload in addImageURLs
* chore: remove client specific handling since the direct provider stuff is handled by the agent client
* feat: handle documents in AgentClient so no need for change to agents repo
* chore: removed unused changes
* chore: remove auto generated comments from OG commit
* feat: add logic for agents to use direct to provider uploads if supported (currently just anthropic)
* fix: reintroduce role check to fix render error because of undefined value for Content Part
* fix: actually fix render bug by using proper isCreatedByUser check and making sure our mutation of formattedMessage.content is consistent
---------
Co-authored-by: Andres Restrepo <andres@thelinuxkid.com>
Co-authored-by: Claude <noreply@anthropic.com>
📁 feat: Send Attachments Directly to Provider (OpenAI) (#9098)
* refactor: change references from direct upload to direct attach to better reflect functionality
since we are just using base64 encoding strategy now rather than Files/File API for sending our attachments directly to the provider, the upload nomenclature no longer makes sense. direct_attach better describes the different methods of sending attachments to providers anyways even if we later introduce direct upload support
* feat: add upload to provider option for openai (and agent) ui
* chore: move anthropic pdf validator over to packages/api
* feat: simple pdf validation according to openai docs
* feat: add provider agnostic validatePdf logic to start handling multiple endpoints
* feat: add handling for openai specific documentPart formatting
* refactor: move require statement to proper place at top of file
* chore: add in openAI endpoint for the rest of the document handling logic
* feat: add direct attach support for azureOpenAI endpoint and agents
* feat: add pdf validation for azureOpenAI endpoint
* refactor: unify all the endpoint checks with isDocumentSupportedEndpoint
* refactor: consolidate Upload to Provider vs Upload image logic for clarity
* refactor: remove anthropic from anthropic_multimodal fileType since we support multiple providers now
🗂️ feat: Send Attachments Directly to Provider (Google) (#9100)
* feat: add validation for google PDFs and add google endpoint as a document supporting endpoint
* feat: add proper pdf formatting for google endpoints (requires PR #14 in agents)
* feat: add multimodal support for google endpoint attachments
* feat: add audio file svg
* fix: refactor attachments logic so multi-attachment messages work properly
* feat: add video file svg
* fix: allows for followup questions of uploaded multimodal attachments
* fix: remove incorrect final message filtering that was breaking Attachment component rendering
fix: manualy rename 'documents' to 'Documents' in git since it wasn't picked up due to case insensitivity in dir name
fix: add logic so filepicker for a google agent has proper filetype filtering
🛫 refactor: Move Encoding Logic to packages/api (#9182)
* refactor: move audio encode over to TS
* refactor: audio encoding now functional in LC again
* refactor: move video encode over to TS
* refactor: move document encode over to TS
* refactor: video encoding now functional in LC again
* refactor: document encoding now functional in LC again
* fix: extend file type options in AttachFileMenu to include 'google_multimodal' and update dependency array to include agent?.provider
* feat: only accept pdfs if responses api is enabled for openai convos
chore: address ESLint comments
chore: add missing audio mimetype
* fix: type safety for message content parts and improve null handling
* chore: reorder AttachFileMenuProps for consistency and clarity
* chore: import order in AttachFileMenu
* fix: improve null handling for text parts in parseTextParts function
* fix: remove no longer used unsupported capability error message for file uploads
* fix: OpenAI Direct File Attachment Format
* fix: update encodeAndFormatDocuments to support OpenAI responses API and enhance document result types
* refactor: broaden providers supported for documents
* feat: enhance DragDrop context and modal to support document uploads based on provider capabilities
* fix: reorder import statements for consistency in video encoding module
---------
Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
* ✂️ refactor: use artifacts and callbacks to pass UI resources
* chore: imports
* refactor: Update UIResource type imports and definitions across components and tests
* refactor: Update ToolCallInfo test data structure and enhance TAttachment type definition
---------
Co-authored-by: Samuel Path <samuel.path@shopify.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>
* 🪶 feat: Add Support for Uploading Plaintext Files
feat: delineate between OCR and text handling in fileConfig field of config file
- also adds support for passing in mimetypes as just plain file extensions
feat: add showLabel bool to support future synthetic component DynamicDropdownInput
feat: add new combination dropdown-input component in params panel to support file type token limits
refactor: move hovercard to side to align with other hovercards
chore: clean up autogenerated comments
feat: add delineation to file upload path between text and ocr configured filetypes
feat: add token limit checks during file upload
refactor: move textParsing out of ocrEnabled logic
refactor: clean up types for filetype config
refactor: finish decoupling DynamicDropdownInput from fileTokenLimits
fix: move image token cost function into file to fix circular dependency causing unittest to fail and remove unused var for linter
chore: remove out of scope code following review
refactor: make fileTokenLimit conform to existing styles
chore: remove unused localization string
chore: undo changes to DynamicInput and other strays
feat: add fileTokenLimit to all provider config panels
fix: move textParsing back into ocr tool_resource block for now so that it doesn't interfere with other upload types
* 📤 feat: Add RAG API Endpoint Support for Text Parsing (#8849)
* feat: implement RAG API integration for text parsing with fallback to native parsing
* chore: remove TODO now that placeholder and fllback are implemented
* ✈️ refactor: Migrate Text Parsing to TS (#8892)
* refactor: move generateShortLivedToken to packages/api
* refactor: move textParsing logic into packages/api
* refactor: reduce nesting and dry code with createTextFile
* fix: add proper source handling
* fix: mock new parseText and parseTextNative functions in jest file
* ci: add test coverage for textParser
* 💬 feat: Add Audio File Support to Upload as Text (#8893)
* feat: add STT support for Upload as Text
* refactor: move processAudioFile to packages/api
* refactor: move textParsing from utils to files
* fix: remove audio/mp3 from unsupported mimetypes test since it is now supported
* ✂️ feat: Configurable File Token Limits and Truncation (#8911)
* feat: add configurable fileTokenLimit default value
* fix: add stt to fileConfig merge logic
* fix: add fileTokenLimit to mergeFileConfig logic so configurable value is actually respected from yaml
* feat: add token limiting to parsed text files
* fix: add extraction logic and update tests so fileTokenLimit isnt sent to LLM providers
* fix: address comments
* refactor: rename textTokenLimiter.ts to text.ts
* chore: update form-data package to address CVE-2025-7783 and update package-lock
* feat: use default supported mime types for ocr on frontend file validation
* fix: should be using logger.debug not console.debug
* fix: mock existsSync in text.spec.ts
* fix: mock logger rather than every one of its function calls
* fix: reorganize imports and streamline file upload processing logic
* refactor: update createTextFile function to use destructured parameters and improve readability
* chore: update file validation to use EToolResources for improved type safety
* chore: update import path for types in audio processing module
* fix: update file configuration access and replace console.debug with logger.debug for improved logging
---------
Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
WIP: pre-granular-permissions commit
feat: Add category and support contact fields to Agent schema and UI components
Revert "feat: Add category and support contact fields to Agent schema and UI components"
This reverts commit c43a52b4c9.
Fix: Update import for renderHook in useAgentCategories.spec.tsx
fix: Update icon rendering in AgentCategoryDisplay tests to use empty spans
refactor: Improve category synchronization logic and clean up AgentConfig component
refactor: Remove unused UI flow translations from translation.json
feat: agent marketplace features
🔐 feat: Granular Role-based Permissions + Entra ID Group Discovery (#7804)
* WIP: Verbosity OpenAI Parameter
* 🔧 chore: remove unused import of extractEnvVariable from parsers.ts
* ✨ feat: add comprehensive tests for getOpenAIConfig and enhance verbosity handling
* fix: Handling for maxTokens in GPT-5+ models and add corresponding tests
* feat: Implement GPT-5+ model handling in processMemory function
* 🌊 feat: Add Disable Streaming Option in Configuration
- Introduced a new setting to disable streaming responses in openAI, Azure, and custom endpoint parameter panels.
- Updated translation files to include labels and descriptions for the disable streaming feature.
- Modified relevant schemas and parameter settings to support the new disable streaming functionality.
* 🔧 fix: disableStreaming state not persisting when returning to a conversation
- Added disableStreaming field to the IPreset interface and conversationPreset.
- Moved toggles and sliders around for nicer left-right UI split in parameters panel.
- Removed old reference to 'grounding' ub conversationPreset (now web_search) and added web_search to IPreset.
- Updated the Google configuration and related schemas to replace 'grounding' with 'web_search' for consistency.
- Adjusted the logic in the getGoogleConfig function to reflect the new naming convention.
- Ensured all references in parameter settings and conversation schemas are updated accordingly.
* 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 provider validation and error handling in getProviderConfig function
* WIP: edit text part
* refactor: Allow updating of both TEXT and THINK content types in message updates
* WIP: first pass, save & submit
* chore: remove legacy generation user message field
* feat: merge edited content
* fix: update placeholder and description for bedrock setting
* fix: remove unsupported warning message for AI resubmission
* chore: update @librechat/agents to v2.4.47
* WIP: temporary auto-toggle responses api for o1/o3-pro
* feat: Enable Responses API for OpenAI models
- Updated the OpenAI client initialization to check for the useResponsesApi parameter in model options.
- Added translations for enabling the Responses API in the UI.
- Introduced useResponsesApi parameter in data provider settings and schemas.
- Updated relevant schemas to include useResponsesApi for conversation and preset configurations.
* refactor: Remove useResponsesApi check from OpenAI client initialization and update translation for Responses API
- Removed the check for useResponsesApi in the OpenAI client initialization.
- Updated the translation for enabling the Responses API to clarify its functionality.
* chore: update @librechat/agents dependency to version 2.4.48
* chore: update @librechat/agents dependency to version 2.4.49
* chore: linting
* chore: linting
* feat: Enhance DynamicSlider and validation for enumMappings
- Added support for enumMappings in DynamicSlider to display values correctly based on enum settings.
- Implemented validation for enumMappings in the generate function to ensure all options have corresponding mappings.
- Added tests for handling empty string options and incomplete enumMappings in the generate.spec.ts file.
* feat: Enhance DynamicSlider localization support
- Added localization handling for mapped values in DynamicSlider when using enumMappings.
- Updated the logic to check if the mapped value is a localization key and return the localized string if applicable.
- Adjusted dependencies in useCallback hooks to include localize for proper functionality.
* feat: Add reasoning summary and effort options to OpenAI configuration and UI
* feat: Add enumMappings for ImageDetail options in parameter settings
* style: Improve styling for DynamicSlider component labels and inputs
* chore: Update reasoning effort description and parameter order for OpenAI params
---------
Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
* feat: support thinking budget parameter for Gemini 2.5 series (#6949, #7542)
https://ai.google.dev/gemini-api/docs/thinking#set-budget
* refactor: update thinking budget minimum value to -1 for dynamic thinking
- see: https://ai.google.dev/gemini-api/docs/thinking#set-budget
* chore: bump @librechat/agents to v2.4.43
* refactor: rename LLMConfigOptions to OpenAIConfigOptions for clarity and consistency
- Updated type definitions and references in initialize.ts, llm.ts, and openai.ts to reflect the new naming convention.
- Ensured that the OpenAI configuration options are consistently used across the relevant files.
* refactor: port Google LLM methods to TypeScript Package
* chore: update @librechat/agents version to 2.4.43 in package-lock.json and package.json
* refactor: update thinking budget description for clarity and adjust placeholder in parameter settings
* refactor: enhance googleSettings default value for thinking budget to support dynamic adjustment
* chore: update @librechat/agents to v2.4.44 for Vertex Dynamic Thinking workaround
* refactor: rename google config function, update `createRun` types, use `reasoning` as `reasoningKey` for Google
* refactor: simplify placeholder handling in DynamicInput component
* refactor: enhance thinking budget description for clarity and allow automatic decision by setting to "-1"
* refactor: update text styling in OptionHover component for improved readability
* chore: update @librechat/agents dependency to v2.4.46 in package.json and package-lock.json
* chore: update @librechat/api version to 1.2.5 in package.json and package-lock.json
* refactor: enhance `clientOptions` handling by filtering `omitTitleOptions`, add `json` field for Google models
---------
Co-authored-by: ciffelia <15273128+ciffelia@users.noreply.github.com>
* new env variable for mcp label
* 🔄 refactor: Update MCPSelect placeholderText to draw from interface section of librechat.yaml rather than .env
* 🧹 chore: extract mcpServers schema for better maintainability
* 🔄 refactor: Update MCPSelect and useMCPSelect to utilize TPlugin type for better type consistency
* 🔄 refactor: Pass placeholder from startupConfig to MCPSubMenu for improved localization
* 🔄 refactor: Integrate startupConfig into BadgeRowContext and related components for enhanced configuration management
---------
Co-authored-by: mwbrandao <mariana.brandao@nos.pt>
Co-authored-by: Danny Avila <danny@librechat.ai>
* 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
* 🧠 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
* feat: working started for feedback implementation.
TODO:
- needs some refactoring.
- needs some UI animations.
* feat: working rate functionality
* feat: works now as well to reader the already rated responses from the server.
* feat: added the option to give feedback in text (optional)
* feat: added Dismiss option `x` to the `FeedbackTagOptions`
* ✨ feat: Add rating and ratingContent fields to message schema
* 🔧 chore: Bump version to 0.0.3 in package.json
* ✨ feat: Enhance feedback localization and update UI elements
* 🚀 feat: Implement feedback tagging system with thumbs up/down options
* 🚀 feat: Add data-provider package to unused i18n keys detection
* 🎨 style: update HoverButtons' style
* 🎨 style: Update HoverButtons and Fork components for improved styling and visibility
* 🔧 feat: Implement feedback system with rating and content options
* 🔧 feat: Enhance feedback handling with improved rating toggle and tag options
* 🔧 feat: Integrate toast notifications for feedback submission and clean up unused state
* 🔧 feat: Remove unused feedback tag options from translation file
* ✨ refactor: clean up Feedback component and improve HoverButtons structure
* ✨ refactor: remove unused settings switches for auto scroll, hide side panel, and user message markdown
* refactor: reorganize import order
* ✨ refactor: enhance HoverButtons and Fork components with improved styles and animations
* ✨ refactor: update feedback response phrases for improved user engagement
* ✨ refactor: add CheckboxOption component and streamline fork options rendering
* Refactor feedback components and logic
- Consolidated feedback handling into a single Feedback component, removing FeedbackButtons and FeedbackTagOptions.
- Introduced new feedback tagging system with detailed tags for both thumbs up and thumbs down ratings.
- Updated feedback schema to include new tags and improved type definitions.
- Enhanced user interface for feedback collection, including a dialog for additional comments.
- Removed obsolete files and adjusted imports accordingly.
- Updated translations for new feedback tags and placeholders.
* ✨ refactor: update feedback handling by replacing rating fields with feedback in message updates
* fix: add missing validateMessageReq middleware to feedback route and refactor feedback system
* 🗑️ chore: Remove redundant fork option explanations from translation file
* 🔧 refactor: Remove unused dependency from feedback callback
* 🔧 refactor: Simplify message update response structure and improve error logging
* Chore: removed unused tests.
---------
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* WIP: search tool integration
* WIP: Add web search capabilities and API key management to agent actions
* WIP: web search capability to agent configuration and selection
* WIP: Add web search capability to backend agent configuration
* WIP: add web search option to default agent form values
* WIP: add attachments for web search
* feat: add plugin for processing web search citations
* WIP: first pass, Citation UI
* chore: remove console.log
* feat: Add AnimatedTabs component for tabbed UI functionality
* refactor: AnimatedTabs component with CSS animations and stable ID generation
* WIP example content
* feat: SearchContext for managing search results apart from MessageContext
* feat: Enhance AnimatedTabs with underline animation and state management
* WIP: first pass, Implement dynamic tab functionality in Sources component with search results integration
* fix: Update class names for improved styling in Sources and AnimatedTabs components
* feat: Improve styling and layout in Sources component with enhanced button and item designs
* feat: Refactor Sources component to integrate OGDialog for source display and improve layout
* style: Update background color in SourceItem and SourcesGroup components for improved visibility
* refactor: Sources component to enhance SourceItem structure and improve favicon handling
* style: Adjust font size of domain text in SourceItem for better readability
* feat: Add localization for citation source and details in CompositeCitation component
* style: add theming to Citation components
* feat: Enhance SourceItem component with dialog support and improved hovercard functionality
* feat: Add localization for sources tab and image alt text in Sources component
* style: Replace divs with spans for better semantic structure in CompositeCitation and Citation components
* refactor: Sources component to use useMemo for tab generation and improve performance
* chore: bump @librechat/agents to v2.4.318
* chore: update search result types
* fix: search results retrieval in ContentParts component, re-render attachments when expected
* feat: update sources style/types to use latest search result structure
* style: enhance Dialog (expanded) SourceItem component with link wrapping and improved styling
* style: update ImageItem component styling for improved title visibility
* refactor: remove SourceItemBase component and adjust SourceItem layout for improved styling
* chore: linting twcss order
* fix: prevent FileAttachment from rendering search attachments
* fix: append underscore to responseMessageId for unique identification to prevent mapping of previous latest message's attachments
* chore: remove unused parameter 'useSpecs' from loadTools function
* chore: twcss order
* WIP: WebSearch Tool UI
* refactor: add limit parameter to StackedFavicons for customizable source display
* refactor: optimize search results memoization by making more granular and separate conerns
* refactor: integrated StackedFavicons to WebSearch mid-run
* chore: bump @librechat/agents to expose handleToolCallChunks
* chore: use typedefs from dedicated file instead of defining them in AgentClient module
* WIP: first pass, search progress results
* refactor: move createOnSearchResults function to a dedicated search module
* chore: bump @librechat/agents to v2.4.320
* WIP: first pass, search results processed UX
* refactor: consolidate context variables in createOnSearchResults function
* chore: bump @librechat/agents to v2.4.321
* feat: add guidelines for web search tool response formatting in loadTools function
* feat: add isLast prop to Part component and update WebSearch logic for improved state handling
* style: update Hovercard styles for improved UI consistency
* feat: export FaviconImage component for improved accessibility in other modules
* refactor: export getCleanDomain function and use FaviconImage in Citation component for improved source representation
* refactor: implement SourceHovercard component for consistency and DRY compliance
* fix: replace <p> with <span> for snippet and title in SourceItem and SourceHovercard for consistency
* style: `not-prose`
* style: remove 'not-prose' class for consistency in SourceItem, Citation, and SourceHovercard components, adjust style classes
* refactor: `imageUrl` on hover and prevent duplicate sources
* refactor: enhance SourcesGroup dialog layout and improve source item presentation
* refactor: reorganize Web Components, save in same directory
* feat: add 'news' refType to refTypeMap for citation sources
* style: adjust Hovercard width for improved layout
* refactor: update tool usage guidelines for improved clarity and execution
* chore: linting
* feat: add Web Search badge with initial permissions and local storage logic
* feat: add webSearch support to interface and permissions schemas
* feat: implement Web Search API key management and localization updates
* feat: refactor Web Search API key handling and integrate new search API key form
* fix: remove unnecessary visibility state from FileAttachment component
* feat: update WebSearch component to use Globe icon and localized search label
* feat: enhance ApiKeyDialog with dropdown for reranker selection and update translations
* feat: implement dropdown menus for engine, scraper, and reranker selection in ApiKeyDialog
* chore: linting and add unknown instead of `any` type
* feat: refactor ApiKeyDialog and useAuthSearchTool for improved API key management
* refactor: update ocrSchema to use template literals for default apiKey and baseURL
* feat: add web search configuration and utility functions for environment variable extraction
* fix: ensure filepath is defined before checking its prefix in useAttachmentHandler
* feat: enhance web search functionality with improved configuration and environment variable extraction for authFields
* fix: update auth type in TPluginAction and TUpdateUserPlugins to use Partial<Record<string, string>>
* feat: implement web search authentication verification and enhance webSearchAuth structure
* feat: enhance ephemeral agent handling with new web search capability and type definition
* feat: enhance isEphemeralAgent function to include web search selection
* feat: refactor verifyWebSearchAuth to improve key handling and authentication checks
* feat: implement loadWebSearchAuth function for improved web search authentication handling
* feat: enhance web search authentication with new configuration options and refactor related types
* refactor: rename search engine to search provider and update related localization keys
* feat: update verifyWebSearchAuth to handle multiple authentication types and improve error handling
* feat: update ApiKeyDialog to accept authTypes prop and remove isUserProvided check
* feat: add tests for extractWebSearchEnvVars and loadWebSearchAuth functions
* feat: enhance loadWebSearchAuth to support specific service checks for providers, scrapers, and rerankers
* fix: update web search configuration key and adjust auth result handling in loadTools function
* feat: add new progress key for repeated web searching and update localization
* chore: bump @librechat/agents to 2.4.322
* feat: enhance loadTools function to include ISO time and improve search tool logging
* feat: update StackedFavicons to handle negative start index and improve citation attribution styling and text
* chore: update .gitignore to categorize AI-related files
* fix: mobile responsiveness of sources/citations hovercards
* feat: enhance source display with improved line clamping for better readability
* chore: bump @librechat/agents to v2.4.33
* feat: add handling for image sources in references mapping
* chore: bump librechat-data-provider version to 0.7.84
* chore: bump @librechat/agents version to 2.4.34
* fix: update auth handling to support multiple auth types in tools and allow key configuration in agent panel
* chore: remove redundant agent attribution text from search form
* fix: web search auth uninstall
* refactor: convert CheckboxButton to a forwardRef component and update setValue callback signature
* feat: add triggerRef prop to ApiKeyDialog components for improved dialog control
* feat: integrate triggerRef in CodeInterpreter and WebSearch components for enhanced dialog management
* feat: enhance ApiKeyDialog with additional links for Firecrawl and Jina API key guidance
* feat: implement web search configuration handling in ApiKeyDialog and add tests for dropdown visibility
* fix: update webSearchConfig reference in config route for correct payload assignment
* feat: update ApiKeyDialog to conditionally render sections based on authTypes and modify loadWebSearchAuth to correctly categorize authentication types
* feat: refactor ApiKeyDialog and related tests to use SearchCategories and RerankerTypes enums and remove nested ternaries
* refactor: move ThinkingButton rendering to improve layout consistency in ContentParts
* feat: integrate search context into Markdown component to conditionally include unicodeCitation plugin
* chore: bump @librechat/agents to v2.4.35
* chore: remove unused 18n key
* ci: add WEB_SEARCH permission testing and update AppService tests for new webSearch configuration
* ci: add more comprehensive tests for loadWebSearchAuth to validate authentication handling and authTypes structure
* chore: remove debugging console log from web.spec.ts to clean up test output
* chore(store/families): linting
* refactor: Update `createChatSearchParams` to use `tQueryParamsSchema` for allowed parameters and add `modelLabel` to schema
* refactor: Enhance `useQueryParams` to streamline parameter processing and improve submission handling
* chore: linting
* fix: Add `disableParams` option to conversation handling and related schemas to prevent search params from updating due to use of default preset
* fix: Update `createChatSearchParams` to correctly ignore `agent_id` when it matches `EPHEMERAL_AGENT_ID`
* chore: revert modelLabel addition to query params, as no longer necessary due to `disableParams`
* fix: Refine logic for `disableParams` to ensure correct handling of active preset comparison
* fix: Add `disableParams` option to `NewConversationParams` and update related hooks for preset handling
* fix: Refactor validation logic in `validateSettingDefinitions` to improve handling of `includeInput` and update conversation schema
* fix: Bump version of `librechat-data-provider` to 0.7.83
* fix: Update Gemini 2.5 Pro Preview Model Name in Token Values
* refactor: Update DeleteButton to close menu when deletion is successful
* refactor: Add unmountOnHide prop to DropdownPopup in multiple components
* chore: linting
* chore: linting
* feat: Add `chatMenu` option for MCP Servers to control visibility in MCPSelect dropdown
* refactor: Update loadManifestTools to return combined tool manifest with MCP tools first
* chore: remove deprecated openapi plugins
* chore: linting
* chore(AgentClient): linting, remove unnecessary `checkVisionRequest` logger
* refactor(AuthService): change logoutUser logging from error to debug level
* chore: new Gemini models token values and rates
* chore(AskController): linting
* ✨ feat: improve Nav/Conversations/Convo/NewChat component performance
* ✨ feat: implement cursor-based pagination for conversations API
* 🔧 refactor: remove createdAt from conversation selection in API and type definitions
* 🔧 refactor: include createdAt in conversation selection and update related types
* ✨ fix: search functionality and bugs with loadMoreConversations
* feat: move ArchivedChats to cursor and DataTable standard
* 🔧 refactor: add InfiniteQueryObserverResult type import in Nav component
* feat: enhance conversation listing with pagination, sorting, and search capabilities
* 🔧 refactor: remove unnecessary comment regarding lodash/debounce in ArchivedChatsTable
* 🔧 refactor: remove unused translation keys for archived chats and search results
* 🔧 fix: Archived Chats, Delete Convo, Duplicate Convo
* 🔧 refactor: improve conversation components with layout adjustments and new translations
* 🔧 refactor: simplify archive conversation mutation and improve unarchive handling; fix: update fork mutation
* 🔧 refactor: decode search query parameter in conversation route; improve error handling in unarchive mutation; clean up DataTable component styles
* 🔧 refactor: remove unused translation key for empty archived chats
* 🚀 fix: `archivedConversation` query key not updated correctly while archiving
* 🧠 feat: Bedrock Anthropic Reasoning & Update Endpoint Handling (#6163)
* 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
* ✨ feat: improve Nav/Conversations/Convo/NewChat component performance
* 🔧 refactor: remove unnecessary comment regarding lodash/debounce in ArchivedChatsTable
* 🔧 refactor: update translation keys for clarity; simplify conversation query parameters and improve sorting functionality in SharedLinks component
* 🔧 refactor: optimize conversation loading logic and improve search handling in Nav component
* fix: package-lock
* fix: package-lock 2
* fix: package lock 3
* refactor: remove unused utility files and exports to clean up the codebase
* refactor: remove i18n and useAuthRedirect modules to streamline codebase
* refactor: optimize Conversations component and remove unused ToggleContext
* refactor(Convo): add RenameForm and ConvoLink components; enhance Conversations component with responsive design
* fix: add missing @azure/storage-blob dependency in package.json
* refactor(Search): add error handling with toast notification for search errors
* refactor: make createdAt and updatedAt fields of tConvoUpdateSchema less restrictive if timestamps are missing
* chore: update @azure/storage-blob dependency to version 12.27.0, ensure package-lock is correct
* refactor(Search): improve conversation handling server side
* fix: eslint warning and errors
* refactor(Search): improved search loading state and overall UX
* Refactors conversation cache management
Centralizes conversation mutation logic into dedicated utility functions for adding, updating, and removing conversations from query caches.
Improves reliability and maintainability by:
- Consolidating duplicate cache manipulation code
- Adding type safety for infinite query data structures
- Implementing consistent cache update patterns across all conversation operations
- Removing obsolete conversation helper functions in favor of standardized utilities
* fix: conversation handling and SSE event processing
- Optimizes conversation state management with useMemo and proper hook ordering
- Improves SSE event handler documentation and error handling
- Adds reset guard flag for conversation changes
- Removes redundant navigation call
- Cleans up cursor handling logic and document structure
Improves code maintainability and prevents potential race conditions in conversation state updates
* refactor: add type for SearchBar `onChange`
* fix: type tags
* style: rounded to xl all Header buttons
* fix: activeConvo in Convo not working
* style(Bookmarks): improved UI
* a11y(AccountSettings): fixed hover style not visible when using light theme
* style(SettingsTabs): improved tab switchers and dropdowns
* feat: add translations keys for Speech
* chore: fix package-lock
* fix(mutations): legacy import after rebase
* feat: refactor conversation navigation for accessibility
* fix(search): convo and message create/update date not returned
* fix(search): show correct iconURL and endpoint for searched messages
* fix: small UI improvements
* chore: console.log cleanup
* chore: fix tests
* fix(ChatForm): improve conversation ID handling and clean up useMemo dependencies
* chore: improve typing
* chore: improve typing
* fix(useSSE): clear conversation ID on submission to prevent draft restoration
* refactor(OpenAIClient): clean up abort handler
* refactor(abortMiddleware): change handleAbort to use function expression
* feat: add PENDING_CONVO constant and update conversation ID checks
* fix: final event handling on abort
* fix: improve title sync and query cache sync on final event
* fix: prevent overwriting cached conversation data if it already exists
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* fix: Prevent parsing 'undefined' string in useLocalStorage initialization
* feat: first pass, code interpreter badge
* feat: Integrate API key authentication and default checked value in Code Interpreter Badge
* refactor: Rename showMCPServers to showEphemeralBadges and update related components, memoize values in useChatBadges
* refactor: Enhance AttachFileChat to support ephemeral agents in file attachment logic
* fix: Add baseURL configuration option to legacy function call
* refactor: Update dependency array in useDragHelpers to include handleFiles
* refactor: Update isEphemeralAgent function to accept optional endpoint parameter
* refactor: Update file handling to support ephemeral agents in AttachFileMenu and useDragHelpers
* fix: improve compatibility issues with OpenAI usage field handling in createRun function
* refactor: usage field compatibility
* fix: ensure mcp servers are no longer "selected" if mcp servers are now unavailable
