* 🤖 feat(google): Add safety settings configuration
- Implement safety settings configuration in GoogleClient.js
- Add safety settings variables in .env.example
- Update documentation to explain safety settings and clarify model usage
* fix(google): Apply safety settings only to Gemini models
Previously, the safety settings were being applied to all models, regardless of whether they were Gemini models or not. This commit ensures that the safety settings are only applied to models that contain the "gemini" string in their name.
The changes include:
- Extracting the model name from `payload.parameters.model`
- Checking if the model name exists and contains the "gemini" string
- Only applying the safety settings if the model name contains "gemini"
- Ignoring the safety settings for non-Gemini models
This fix ensures that the safety settings are only used for the intended Gemini models, and not applied to other models where they may not be applicable.
* Update GoogleClient.js
* fix(google): Apply safety settings only to Gemini models
---------
Co-authored-by: Oliver Faust <oliver@f4ust.de>
* Basic implementation of ChatGPT conversation import
* remove debug code
* Handle citations
* Fix updatedAt in import
* update default model
* Use job scheduler to handle import requests
* import job status endpoint
* Add wrapper around Agenda
* Rate limits for import endpoint
* rename import api path
* Batch save import to mongo
* Improve naming
* Add documenting comments
* Test for importers
* Change button for importing conversations
* Frontend changes
* Import job status endpoint
* Import endpoint response
* Add translations to new phrases
* Fix conversations refreshing
* cleanup unused functions
* set timeout for import job status polling
* Add documentation
* get extra spaces back
* Improve error message
* Fix translation files after merge
* fix translation files 2
* Add zh translation for import functionality
* Sync mailisearch index after import
* chore: add dummy uri for jest tests, as MONGO_URI should only be real for E2E tests
* docs: fix links
* docs: fix conversationsImport section
* fix: user role issue for librechat imports
* refactor: import conversations from json
- organize imports
- add additional jsdocs
- use multer with diskStorage to avoid loading file into memory outside of job
- use filepath instead of loading data string for imports
- replace console logs and some logger.info() with logger.debug
- only use multer for import route
* fix: undefined metadata edge case and replace ChatGtp -> ChatGpt
* Refactor importChatGptConvo function to handle undefined metadata edge case and replace ChatGtp with ChatGpt
* fix: chatgpt importer
* feat: maintain tree relationship for librechat messages
* chore: use enum
* refactor: saveMessage to use single object arg, replace console logs, add userId to log message
* chore: additional comment
* chore: multer edge case
* feat: first pass, maintain tree relationship
* chore: organize
* chore: remove log
* ci: add heirarchy test for chatgpt
* ci: test maintaining of heirarchy for librechat
* wip: allow non-text content type messages
* refactor: import content part object json string
* refactor: more content types to format
* chore: consolidate messageText formatting
* docs: update on changes, bump data-provider/config versions, update readme
* refactor(indexSync): singleton pattern for MeiliSearchClient
* refactor: debug log after batch is done
* chore: add back indexSync error handling
---------
Co-authored-by: jakubmieszczak <jakub.mieszczak@zendesk.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
* add integration with Apple MLX
* fix: apple icon + image mkd link
---------
Co-authored-by: “Extremys” <“Extremys@email.com”>
Co-authored-by: Danny Avila <danny@librechat.ai>
* WIP: first pass ModelSpecs
* refactor(onSelectEndpoint): use `getConvoSwitchLogic`
* feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages
* feat: conversation.iconURL & greeting in Landing
* feat: conversation.iconURL & greeting in New Chat button
* feat: message.iconURL
* refactor: ConversationIcon -> ConvoIconURL
* WIP: add spec as a conversation field
* refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec
* feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load
* chore: handle undefined or empty modelSpecs
* WIP: first pass, modelSpec schema for custom config
* refactor: move default filtered tools definition to ToolService
* feat: pass modelSpecs from backend via startupConfig
* refactor: modelSpecs config, return and define list
* fix: react error and include iconURL in responseMessage
* refactor: add iconURL to responseMessage only
* refactor: getIconEndpoint
* refactor: pass TSpecsConfig
* fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints
* refactor: assistant id prefix localStorage key
* refactor: add more LocalStorageKeys and replace hardcoded values
* feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage)
* feat: first pass, interface config
* chore: WIP, todo: add warnings based on config.modelSpecs settings.
* feat: enforce modelSpecs if configured
* feat: show config file yaml errors
* chore: delete unused legacy Plugins component
* refactor: set tools to localStorage from recoil store
* chore: add stable recoil setter to useEffect deps
* refactor: save tools to conversation documents
* style(MultiSelectPop): dynamic height, remove unused import
* refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery
* feat(utils): add mapPlugins
* refactor(Convo): use conversation.tools if defined, lastSelectedTools if not
* refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings
* refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters
* fix(HeaderOptions): pass `popover` as true
* refactor(useSetStorage): use project enums
* refactor: use LocalStorageKeys enum
* fix: prevent setConversation from setting falsy values in lastSelectedTools
* refactor: use map for availableTools state and available Plugins query
* refactor(updateLastSelectedModel): organize logic better and add note on purpose
* fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins
* refactor(buildDefaultConvo): use enum
* refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage
* fix: conversations retain tools on refresh
* fix(gptPlugins): prevent nullish tools from being saved
* chore: delete useServerStream
* refactor: move initial plugins logic to useAppStartup
* refactor(MultiSelectDropDown): add more pass-in className props
* feat: use tools in presets
* chore: delete unused usePresetOptions
* refactor: new agentOptions default handling
* chore: note
* feat: add label and custom instructions to agents
* chore: remove 'disabled with tools' message
* style: move plugins to 2nd column in parameters
* fix: TPreset type for agentOptions
* fix: interface controls
* refactor: add interfaceConfig, use Separator within Switcher
* refactor: hide Assistants panel if interface.parameters are disabled
* fix(Header): only modelSpecs if list is greater than 0
* refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following
* fix(AppService): don't use reserved keyword 'interface'
* feat: set existing Icon for custom endpoints through iconURL
* fix(ci): tests passing for App Service
* docs: refactor custom_config.md for readability and better organization, also include missing values
* docs: interface section and re-organize docs
* docs: update modelSpecs info
* chore: remove unused files
* chore: remove unused files
* chore: move useSetIndexOptions
* chore: remove unused file
* chore: move useConversation(s)
* chore: move useDefaultConvo
* chore: move useNavigateToConvo
* refactor: use plugin install hook so it can be used elsewhere
* chore: import order
* update docs
* refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel
* chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled
* feat(loadDefaultInterface): issue warnings based on values
* feat: changelog for custom config file
* docs: add additional changelog note
* fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations
* feat: add `filteredTools` option in custom config
* chore: changelog
* fix(MessageIcon): always overwrite conversation.iconURL in messageSettings
* fix(ModelSpecsMenu): icon edge cases
* fix(NewChat): dynamic icon
* fix(PluginsClient): always include endpoint in responseMessage
* fix: always include endpoint and iconURL in responseMessage across different response methods
* feat: interchangeable keys for modelSpec enforcing
* feat: `stop` conversation parameter
* feat: Tag primitive
* feat: dynamic tags
* refactor: update tag styling
* feat: add stop sequences to OpenAI settings
* fix(Presentation): prevent `SidePanel` re-renders that flicker side panel
* refactor: use stop placeholder
* feat: type and schema update for `stop` and `TPreset` in generation param related types
* refactor: pass conversation to dynamic settings
* refactor(OpenAIClient): remove default handling for `modelOptions.stop`
* docs: fix Google AI Setup formatting
* feat: current_model
* docs: WIP update
* fix(ChatRoute): prevent default preset override before `hasSetConversation.current` becomes true by including latest conversation state as template
* docs: update docs with more info on `stop`
* chore: bump config_version
* refactor: CURRENT_MODEL handling
* chore: bump data-provider
* feat: script to check recent dependency updates
* fix: override vite/rollup version for vite build fix
- also remove unused vite-plugin-html
- add vite build to file output command
* chore: bump rollup override to last known working version (v4.16.0 is breaking)
* chore(vite): increase file size cache for workbox
* fix: resolve openai to last known version using assistants v1 latest features and default header
* chore: update openrouter examples
* WIP: gemini-1.5 support
* feat: extended vertex ai support
* fix: handle possibly undefined modelName
* fix: gpt-4-turbo-preview invalid vision model
* feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type
* feat: better truncation for errors including base64 strings
* fix: gemini inlineData formatting
* feat: RAG augmented prompt for gemini-1.5
* feat: gemini-1.5 rates and token window
* chore: adjust tokens, update docs, update vision Models
* chore: add back `ChatGoogleVertexAI` for chat models via vertex ai
* refactor: ask/edit controllers to not use `unfinished` field for google endpoint
* chore: remove comment
* chore(ci): fix AppService test
* chore: remove comment
* refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable
* chore: bump data-provider to 0.5.4
* chore: update docs
* fix: condition for gemini-1.5 using generative ai lib
* chore: update docs
* ci: add additional AppService test for `imageOutputType`
* refactor: optimize new config value `imageOutputType`
* chore: bump CONFIG_VERSION
* fix(assistants): avatar upload
Sometimes Traefik created a race condition where LibreChat was up on tcp/3080, and while Traefik was up on tcp/443, it could not route to the LibreChat container due to the multiple interfaces -- depending on how they came up. This is easily solved by simply using one interface.
* fix(deleteVectors): handle errors gracefully
* chore: update docs based on new alternate env vars prefixed with RAG to avoid conflicts with LibreChat keys
* docs: update URL to access ollama and comment on 'host.docker.internal'
* Update ai_endpoints.md
---------
Co-authored-by: Danny Avila <danacordially@gmail.com>
* WIP: basic route for file downloads and file strategy for generating readablestream to pipe as res
* chore(DALLE3): add typing for OpenAI client
* chore: add `CONSOLE_JSON` notes to dotenv.md
* WIP: first pass OpenAI Assistants File Output handling
* feat: first pass assistants output file download from openai
* chore: yml vs. yaml variation to .gitignore for `librechat.yml`
* refactor(retrieveAndProcessFile): remove redundancies
* fix(syncMessages): explicit sort of apiMessages to fix message order on abort
* chore: add logs for warnings and errors, show toast on frontend
* chore: add logger where console was still being used
* fix(initializeClient.spec.js): remove condition failing test on local installations
* docs: remove comments and invalid html as is required by embeddings generator and add new documentation guidelines
