* 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
* refactor: add gemini-pro to google Models list; use defaultModels for central model listing
* refactor(SetKeyDialog): create useMultipleKeys hook to use for Azure, export `isJson` from utils, use EModelEndpoint
* refactor(useUserKey): change variable names to make keyName setting more clear
* refactor(FileUpload): allow passing container className string
* feat(GoogleClient): Gemini support
* refactor(GoogleClient): alternate stream speed for Gemini models
* feat(Gemini): styling/settings configuration for Gemini
* refactor(GoogleClient): substract max response tokens from max context tokens if context is above 32k (I/O max is combined between the two)
* refactor(tokens): correct google max token counts and subtract max response tokens when input/output count are combined towards max context count
* feat(google/initializeClient): handle both local and user_provided credentials and write tests
* fix(GoogleClient): catch if credentials are undefined, handle if serviceKey is string or object correctly, handle no examples passed, throw error if not a Generative Language model and no service account JSON key is provided, throw error if it is a Generative m
odel, but not google API key was provided
* refactor(loadAsyncEndpoints/google): activate Google endpoint if either the service key JSON file is provided in /api/data, or a GOOGLE_KEY is defined.
* docs: updated Google configuration
* fix(ci): Mock import of Service Account Key JSON file (auth.json)
* Update apis_and_tokens.md
* feat: increase max output tokens slider for gemini pro
* refactor(GoogleSettings): handle max and default maxOutputTokens on model change
* chore: add sensitive redact regex
* docs: add warning about data privacy
* Update apis_and_tokens.md
* chore: bump vite, vitejs/plugin-react, mark client package as esm, move react-query as a peer dep in data-provider
* chore: import changes due to new data-provider export strategy, also fix type imports where applicable
* chore: export react-query services as separate to avoid react dependencies in /api/
* chore: suppress sourcemap warnings and polyfill node:path which is used by filenamify
TODO: replace filenamify with an alternative and REMOVE polyfill
* chore: /api/ changes to support `librechat-data-provider`
* refactor: rewrite Dockerfile.multi in light of /api/ changes to support `librechat-data-provider`
* chore: remove volume mapping to node_modules directories in default compose file
* chore: remove schemas from /api/ as is no longer needed with use of `librechat-data-provider`
* fix(ci): jest `librechat-data-provider/react-query` module resolution
* feat: update PaLM icons
* feat: add additional google models
* POC: formatting inputs for Vertex AI streaming
* refactor: move endpoints services outside of /routes dir to /services/Endpoints
* refactor: shorten schemas import
* refactor: rename PALM to GOOGLE
* feat: make Google editable endpoint
* feat: reusable Ask and Edit controllers based off Anthropic
* chore: organize imports/logic
* fix(parseConvo): include examples in googleSchema
* fix: google only allows odd number of messages to be sent
* fix: pass proxy to AnthropicClient
* refactor: change `google` altName to `Google`
* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values
* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)
* feat: google support for maxTokensMap
* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient
* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain
* chore(GoogleClient): remove comments, left before for reference in git history
* docs: update google instructions (WIP)
* docs(apis_and_tokens.md): add images to google instructions
* docs: remove typo apis_and_tokens.md
* Update apis_and_tokens.md
* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models
* chore: update more PaLM references to Google
* chore: move playwright out of workflows to avoid failing tests
