- 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(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>
* feat: Add Bedrock Cache Control Functionality
- fix: Update Bedrock Cache Control to Require cachePoint as a Separate Content Block
- Modified the addBedrockCacheControl function to ensure cachePoint is added as a separate content block in the content array, rather than as a property of text objects.
- refactor: move addBedrockCacheControl over to packages/api
- ci: add tests for addBedrockCacheControl until full coverage reached
* ci: add test similar to example from the langchain PR
* refactor: move addBedrockCacheControl logic and tests to agents repository
* chore: remove extraneous comment
* chore: update @librechat/agents dependency to version 3.0.12
* chore: update @librechat/agents dependency to version 3.0.13
* chore: update @librechat/agents dependency to version 3.0.14
* chore: update @librechat/agents to v3.0.15
* chore: update default value for prompt cache setting to true
* refactor: set default promptCache to true for claude and nova models
---------
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: 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>
* 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
* fix: Add default random state parameter to OpenID auth request for providers that require it; ensure passport strategy uses it
* ⌚ refactor: debounce setUserContext to avoid race condition
* refactor: Update OpenID authentication to use randomState from openid-client
* chore: linting in presetSettings type definition
* chore: import order in ModelPanel
* refactor: remove `isLegacyOutput` property from AnthropicClient since only used where defined, add latest models to non-legacy patterns, and remove from client cleanup
* refactor: adjust grid layout in Parameters component for improved responsiveness
* refactor: adjust grid layout in ModelPanel for improved display of model parameters
* test: add cases for maxOutputTokens handling in Claude 4 Sonnet and Opus models
* ci: mock loadCustomConfig in server tests and refactor OpenID route for improved authentication handling
* #
* - refactor: simplified getCustomConfig func
* #
* - feature: persist values for parameters with optionType of custom
* #
* - refactor: moved `Parameters/settings.ts` into `data-provider` so that both frontend and backend code can use it.
* - feature: loadCustomConfig can now parse and validate customParams property for `endpoints.custom` in `librechat.yaml`
* # fixed linter
* # removed .strict() in config.ts
* change: added packages/data-provider/src to SOURCE_DIRS for i18n check
* # removed unnecessary lodash imports
* # addressed PR comments
# fixed lint for updated files
* # better import for lodash (w/o relying on tree-shaking)
2025-05-19 19:33:25 -04:00
Renamed from client/src/components/SidePanel/Parameters/settings.ts (Browse further)
