* 👤add: Username instead of 'You' when sending messages.
* 🌎: Added a new translation for 'You' and updated the existing translation for Spanish.
* fix: remove "!"
* Added: New setting Account for show username in messages
chore (StopButon and SendButon): Updated to new style of ChatGPT
chore Update and Added news translations: Spanish, English and Portuguese Brazilian
* fix: message component definition and imports order, remove unnecessary useEffect and localStorage set, fix localStorage key in store
* chore: update readme.md
* chore: optimize condition for messageLabel
* chore(Message.tsx): remove empty blocks
---------
Co-authored-by: Raí Santos <140329135+itzraiss@users.noreply.github.com>
* chore: fix `endpoint` typescript issues and typo in console info message
* feat(api): files GET endpoint and save only file_id references to messages
* refactor(client): `useGetFiles` query hook, update file types, optimistic update of filesQuery on file upload
* refactor(buildTree): update to use params object and accept fileMap
* feat: map files to messages; refactor(ChatView): messages only available after files are fetched
* fix: fetch files only when authenticated
* feat(api): AppService
- rename app.locals.configs to app.locals.paths
- load custom config use fileStrategy from yaml config in app.locals
* refactor: separate Firebase and Local strategies, call based on config
* refactor: modularize file strategies and employ with use of DALL-E
* refactor(librechat.yaml): add fileStrategy field
* feat: add source to MongoFile schema, as well as BatchFile, and ExtendedFile types
* feat: employ file strategies for upload/delete files
* refactor(deleteFirebaseFile): add user id validation for firebase file deletion
* chore(deleteFirebaseFile): update jsdocs
* feat: employ strategies for vision requests
* fix(client): handle messages with deleted files
* fix(client): ensure `filesToDelete` always saves/sends `file.source`
* feat(openAI): configurable `resendImages` and `imageDetail`
* refactor(getTokenCountForMessage): recursive process only when array of Objects and only their values (not keys) aside from `image_url` types
* feat(OpenAIClient): calculateImageTokenCost
* chore: remove comment
* refactor(uploadAvatar): employ fileStrategy for avatars, from social logins or user upload
* docs: update docs on how to configure fileStrategy
* fix(ci): mock winston and winston related modules, update DALLE3.spec.js with changes made
* refactor(redis): change terminal message to reflect current development state
* fix(DALL-E-2): pass fileStrategy to dall-e
* style(Icon): remove error bubble from message icon
* fix(custom): `initializeClient` now throws error if apiKey or baseURL are admin provided but no env var was found
* refactor(tPresetSchema): match `conversationId` type to `tConversationSchema` but optional, use `extendedModelEndpointSchema` for `endpoint`
* fix(useSSE): minor improvements
- use `completed` set to avoid submitting unecessary abort request
- set preset with `newConversation` calls using initial conversation settings to prevent default Preset override as well as default settings
- return if there is a parsing error within `onerror` as expected errors from server are properly formatted
* fix(custom): prevent presets using removed custom endpoints from causing frontend errors
* refactor(abortMiddleware): send 204 status when abortController is not found/active, set expected header `application/json` when not set
* fix(useSSE): general improvements:
- Add endpointType to fetch URL in useSSE hook
- use EndpointURLs enum
- handle 204 response by setting `data` to initiated response
- add better error handling UX, make clear when there is an explicit error
* fix(TEndpointsConfig): resolve property access issues with typesafe helper function
* fix: undefined or null endpoint edge case
* refactor(mapEndpoints -> endpoints): renamed module to be more general for endpoint handling, wrote unit tests, export all helpers
* fix: load all existing conversation settings on refresh
* refactor(buildDefaultConvo): use `lastConversationSetup.endpointType` before `conversation.endpointType`
* refactor(TMessage/messageSchema): add `endpoint` field to messages to differentiate generation origin
* feat(useNewConvo): `keepLatestMessage` param to prevent reseting the `latestMessage` mid-conversation
* style(Settings): adjust height styling to allow more space in dialog for additional settings
* feat: Modular Chat: experimental setting to Enable switching Endpoints mid-conversation
* fix(ChatRoute): fix potential parsing issue with tPresetSchema
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
* chore: bump langchain to v0.0.213 from v0.0.186
* fix: handle abort edge cases:
- abort message server-side if response experienced error mid-generation
- attempt to recover message if aborting resulted in error
- if abortKey is not provided, use conversationId if it exists
- if headers were already sent, send an Event stream message
- issue warning for possible Google censor/filter
refactor(streamResponse): for `sendError`, allow passing overrides so that error can include partial generation, improve typing for `sendMessage`
* chore(MessageContent): remove eslint warning for unused `i`, rephrase unfinished message text
* fix(useSSE): avoid invoking cancelHandler if the abort response was 404
* chore(TMessage): remove unnecessary, unused legacy message property `submitting`
* chore(TMessage): remove unnecessary legacy message property `cancelled`
* chore(abortMiddleware): remove unused `errorText` property to avoid confusion
* localization + api-endpoint
* docs: added firebase documentation
* chore: icons
* chore: SettingsTabs
* feat: account pannel; fix: gear icons
* docs: position update
* feat: firebase
* feat: plugin support
* route
* fixed bugs with firebase and moved a lot of files
* chore(DALLE3): using UUID v4
* feat: support for social strategies; moved '/images' path
* fix: data ignored
* gitignore update
* docs: update firebase guide
* refactor: Firebase
- use singleton pattern for firebase initialization, initially on server start
- reorganize imports, move firebase specific files to own service under Files
- rename modules to remove 'avatar' redundancy
- fix imports based on changes
* ci(DALLE/DALLE3): fix tests to use logger and new expected outputs, add firebase tests
* refactor(loadToolWithAuth): pass userId to tool as field
* feat(images/parse): feat: Add URL Image Basename Extraction
Implement a new module to extract the basename of an image from a given URL. This addition includes the function, which parses the URL and retrieves the basename using the Node.js 'url' and 'path' modules. The function is documented with JSDoc comments for better maintainability and understanding. This feature enhances the application's ability to handle and process image URLs efficiently.
* refactor(addImages): function to use a more specific regular expression for observedImagePath based on the generated image markdown standard across the app
* refactor(DALLE/DALLE3): utilize `getImageBasename` and `this.userId`; fix: pass correct image path to firebase url helper
* fix(addImages): make more general to match any image markdown descriptor
* fix(parse/getImageBasename): test result of this function for an actual image basename
* ci(DALLE3): mock getImageBasename
* refactor(AuthContext): use Recoil atom state for user
* feat: useUploadAvatarMutation, react-query hook for avatar upload
* fix(Toast): stack z-order of Toast over all components (1000)
* refactor(showToast): add optional status field to avoid importing NotificationSeverity on each use of the function
* refactor(routes/avatar): remove unnecessary get route, get userId from req.user.id, require auth on POST request
* chore(uploadAvatar): TODO: remove direct use of Model, `User`
* fix(client): fix Spinner imports
* refactor(Avatar): use react-query hook, Toast, remove unnecessary states, add optimistic UI to upload
* fix(avatar/localStrategy): correctly save local profile picture and cache bust for immediate rendering; fix: firebase init info message (only show once)
* fix: use `includes` instead of `endsWith` for checking manual query of avatar image path in case more queries are appended (as is done in avatar/localStrategy)
---------
Co-authored-by: Danny Avila <messagedaniel@protonmail.com>
* fix(ChatRoute): only initialize conversation after all data is fetched (models, endpoints, initialConversationQuery if not `new`)
* chore: remove unnecessary packages for rolling up api
* chore: bump data-provider package.json
* feat: add GOOGLE_MODELS env var
* feat: add gemini vision support
* refactor(GoogleClient): adjust clientOptions handling depending on model
* fix(logger): fix redact logic and redact errors only
* fix(GoogleClient): do not allow non-multiModal messages when gemini-pro-vision is selected
* refactor(OpenAIClient): use `isVisionModel` client property to avoid calling validateVisionModel multiple times
* refactor: better debug logging by correctly traversing, redacting sensitive info, and logging condensed versions of long values
* refactor(GoogleClient): allow response errors to be thrown/caught above client handling so user receives meaningful error message
debug orderedMessages, parentMessageId, and buildMessages result
* refactor(AskController): use model from client.modelOptions.model when saving intermediate messages, which requires for the progress callback to be initialized after the client is initialized
* feat(useSSE): revert to previous model if the model was auto-switched by backend due to message attachments
* docs: update with google updates, notes about Gemini Pro Vision
* fix: redis should not be initialized without USE_REDIS and increase max listeners to 20
* refactor: only remove conversation states from localStorage on login/logout but not on refresh
* chore: add debugging log for azure completion url
* chore: add api-key to redact regex
* fix: do not show endpoint selector if endpoint is falsy
* chore: remove logger from genAzureChatCompletion
* feat(ci): mock fetchEventSource
* refactor(ci): mock all model methods in BaseClient.test, as well as mock the implementation for getCompletion in FakeClient
* fix(OpenAIClient): consider chatCompletion if model name includes `gpt` as opposed to `gpt-`
* fix(ChatGPTClient/azureOpenAI): Remove 'model' option for Azure compatibility (cannot be sent in payload body)
* feat(ci): write new test suite that significantly increase test coverage for OpenAIClient and BaseClient by covering most of the real implementation of the `sendMessage` method
- test for the azure edge case where model option is appended to modelOptions, ensuring removal before sent to the azure endpoint
- test for expected azure url being passed to SSE POST request
- test for AZURE_OPENAI_DEFAULT_MODEL being set, but is not included in the URL deployment name as expected
- test getCompletion method to have correct payload
fix(ci/OpenAIClient.test.js): correctly mock hanging/async methods
* refactor(addTitle): allow azure to title as it aborts signal on completion
* 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
* fix: Fix a fonts warning
The warning was:
files in the public directory are served at the root path.
Instead of /public/fonts/soehne-buch.woff2, use /fonts/soehne-buch.woff2.
* See if it likes /fonts better
* refactor(Logout): rely on hooks for mutation behavior
* fix: logging out now correctly resets cache, disallowing any cache mixing between the next logged in user on the same browser
* chore: remove additional localStorage values on logout
* 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
