* chore: make frequent 'error' log into 'debug' log
* feat: add maxContextTokens as a conversation field
* refactor(settings): increase popover height
* feat: add DynamicInputNumber and maxContextTokens to all endpoints that support it (frontend), fix schema
* feat: maxContextTokens handling (backend)
* style: revert popover height
* feat: max tokens
* fix: Ollama Vision firebase compatibility
* fix: Ollama Vision, use message_file_map to determine multimodal request
* refactor: bring back MobileNav and improve title styling
* refactor: checkVisionRequest, search availableModels for valid vision model instead of using default
* feat: install ollama-js, add typedefs
* feat: Ollama Vision Support
* ci: fix test
* 🔧chore: add internationalization labels for archive feature
* ✨ feat: Add function to useArchiveConversationMutation()
This commit adds a new mutation function `useArchiveConversationMutation()` for archiving conversations. This function takes the ID string of the conversation to be archived and returns a mutation result object. Upon successful archiving, it removes and refreshes the conversation from the query data cache.
While ChatGPT PATCHes the archived status by sending `{is_archived: true}` to the URL `/backend-api/conversation/$conversation_id`, this implementation uses the `dataService.updateConversation(payload)` with a POST method, aligning with the existing code conventions.
* ✨ feat(api): add is_archived field to Conversation schema and update getConvosByPage method
This commit adds a new field `is_archived` with a default value of false to the Conversation schema. It also modifies the `getConvosByPage` method within the Conversation API to adjust the query to only target conversations where `is_archived` is set to false or where the `is_archived` field does not exist. The function `getConvosQueried`, which returns conversations for a specified Conversation ID, was determined not to require consideration of whether `is_archived` is true or false, and thus was not modified.
* ♻️ refactor: add className prop to DotsIcon component
To enhance the versatility of the DotsIcon component, this commit introduces the ability to specify a className prop, allowing for greater customization.
* ✨ feat(ui): add Edit Button to group Title change and Conversation delete buttons
Added a new Edit Button to the conversations, similar to the ChatGPT UI, which groups options for editing the conversation title and deleting conversations. This grouping is accessible through a dialogue that appears when the three-dot icon is clicked.
* ♻️ refactor(ui): enhance Delete Button to accept className and label options
Enhanced the Delete Button component to accept a `className` for customization and an optional `appendLabel`. The DeleteButton component is used by both `Convo.tsx` and `Conversation.tsx`, but currently only `Convo.tsx` is active and `Conversation.tsx `is apparently not used; removing `Conversation.tsx` may eliminate the need for the `appendLabel` property in the future.
* ♻️ refactor(ui): enhance RenameButton to accept label options
Added the ability to optionally display labels; the Rename Button component is used by both `Convo.tsx` and `Conversation.tsx`, but currently only `Convo.tsx` is active and `Conversation.tsx `is apparently not used; removing `Conversation.tsx` may eliminate the need for the `appendLabel` property in the future.
* 🔧 chors: additional localization labels
* ♻️ refactor: change is_archived property of conversation to camelCase
* Refactor the is_archived property of conversation to camelCase (isArchived) to adhere to the existing code conventions
* Modify the function that retrieves conversations to accept the isArchived parameter
* ♻️ refactor: add archiveConversation mutation
I thought I could divert dataService.updateConversation, but added a new archiveConversation because the request types are different. It might be better to make them common, but to avoid side effects, I added a new function this time.
Added process to deleteConversationMutation to delete archived conversations
* ✨ feat: Add the function to hide a cancel button in DialogTemplate component
The Cancel button is not needed when displaying the archive list, so I made the Cancel button optional.
* ♻️ refactor: Add support for filtering archived conversations in Nav component
This commit modifies the Nav component to add the ability to filter out archived conversations when fetching data. This is done by adding `isArchived: false` to the query parameters for both the `useConversationsInfiniteQuery()` and `useSearchInfiniteQuery()` hooks, effectively excluding any archived conversations from the results returned.
* ♻️ refactor: add Tooltip to DeleteButton
* Add Tooltip to DeleteButton component
* Display Tooltip when DeleteButton only shows an Icon without text
* ✨ feat(ui): add ArchiveButton component for archiving conversations
To be compatible with the ChatGPT UI, no confirmation dialog is displayed when ArchiveButton is clicked. The basic behavior conforms to DeleteButton and RenameButton.
* ✨ feat(ui): add Archive button to list of conversations
Modify the Nav of the conversation list to include a dropdown that contains the Rename and Delete options, similar to the ChatGPT UI. Additionally, an Archive button has been added adjacent to the dropdown menu.
* ✨ feat: Add ArchivedChatsTable component
Adds the `ArchivedChatsTable` component, which displays a table of archived chats. It has been implemented to be as compatible with the ChatGPT UI as possible.
* 🚑 fix(tooltip): increase z-index to ensure visibility over Dialog
Resolve an issue where tooltips were not visible when displayed over a Dialog. The z-index of `DialogPrimitive.Portal` in `Dialog.tsx` is set to 999. Since the rationale for this value is unclear, the z-index of the tooltip has been increased to 1000 to guarantee its visibility above the Dialog component.
* 🔧 chors: add internationalization labels
* typedef for ImportBatchBuilder
* feat: first pass, fork conversations
* feat: fork - getMessagesUpToTargetLevel
* fix: additional tests and fix getAllMessagesUpToParent
* chore: arrow function return
* refactor: fork 3 options
* chore: remove unused genbuttons
* chore: remove unused hover buttons code
* feat: fork first pass
* wip: fork remember setting
* style: user icon
* chore: move clear chats to data tab
* WIP: fork UI options
* feat: data-provider fork types/services/vars and use generic MutationOptions
* refactor: use single param for fork option, use enum, fix mongo errors, use Date.now(), add records flag for testing, use endpoint from original convo and messages, pass originalConvo to finishConversation
* feat: add fork mutation hook and consolidate type imports
* refactor: use enum
* feat: first pass, fork mutation
* chore: add enum for target level fork option
* chore: add enum for target level fork option
* show toast when checking remember selection
* feat: splitAtTarget
* feat: split at target option
* feat: navigate to new fork, show toasts, set result query data
* feat: hover info for all fork options
* refactor: add Messages settings tab
* fix(Fork): remember text info
* ci: test for single message and is target edge case
* feat: additional tests for getAllMessagesUpToParent
* ci: additional tests and cycle detection for getMessagesUpToTargetLevel
* feat: circular dependency checks for getAllMessagesUpToParent
* fix: getMessagesUpToTargetLevel circular dep. check
* ci: more tests for getMessagesForConversation
* style: hover text for checkbox fork items
* refactor: add statefulness to conversation import
* 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
* refactor(vite): suppress known warnings
* fix: allow known code filetypes if there is a mismatch of expected type, or originalFile.type is empty
* refactor(useFileHandling): naming, use variable
* 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
* chore: replace violation cache accessors with enum
* chore: fix test
* chore(fileSchema): index timestamps
* fix(ActionService): use encoding/caching strategy for handling assistant function character length limit
* refactor(actions): async `domainParser` also resolve retrieved model (which is deployment name) to user-defined model
* style(AssistantAction): add `whitespace-nowrap` for ellipsis
* refactor(ActionService): if domain is less than or equal to encoded domain fixed length, return domain with replacement of separator
* refactor(actions): use sessions/transactions for updating Assistant Action database records
* chore: remove TTL from ENCODED_DOMAINS cache
* refactor(domainParser): minor optimization and add tests
* fix(spendTokens): use txData.user for token usage logging
* refactor(actions): add helper function `withSession` for database operations with sessions/transactions
* fix(PluginsClient): logger debug `message` field edge case
* chore: bump example config version
* refactor(AppService): issue warnings from separate modules where possible
* refactor(AppService): consolidate AppService logic to separate modules as much as possible
* chore: bump data-provider
* chore: remove unn. variable definition
* chore: warning wording
* 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
* refactor(getFiledownload): explicit accept of `application/octet-stream`
* chore: test compose file
* chore: test compose file fix
* chore(files/download): add more logs
* Fix proxy_pass URLs in nginx.conf
* fix: proxy_pass URLs in nginx.conf to fix file downloads from URL
* chore: move test compose file to utils dir
* refactor(useFileDownload): simplify API request by passing `file_id` instead of `filepath`
* refactor(client): remove double caching of models via recoil to rely exclusively on react-query
* chore(useConversation): add modelsQuery.data dep to callback
* fix(processMessages): properly handle assistant file citations and add sources list
* feat: improve file download UX by making any downloaded files accessible within the app post-download
* refactor(processOpenAIImageOutput): correctly handle two different outputs for images since OpenAI generates a file in their storage, shares filepath for image rendering
* refactor: create `addFileToCache` helper to use across frontend
* refactor: add ImageFile parts to cache on processing content stream
* chore: add TEndpoint type/typedef
* refactor(loadConfigModels.spec): stricter default model matching (fails with current impl.)
* refactor(loadConfigModels): return default models on endpoint basis and not fetch basis
* refactor: rename `uniqueKeyToNameMap` to `uniqueKeyToEndpointsMap` for clarity
* 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(assistants): default query to limit of 100 and `desc` order
* refactor(useMultiSearch): use object as params and fix styling for assistants
* feat: informative message for thread initialization failing due to long message
* refactor(assistants/chat): use promises to speed up initialization, initialize shared variables, include `attachedFileIds` to streamRunManager
* chore: additional typedefs
* fix(OpenAIClient): handle edge case where attachments promise is resolved
* feat: createVisionPrompt
* feat: Vision Support for Assistants
* feat: add claude-3-haiku-20240307 to default anthropic list
* refactor: optimize `saveMessage` calls mid-stream via throttling
* chore: remove addMetadata operations and consolidate in BaseClient
* fix(listAssistantsForAzure): attempt to specify correct model mapping as accurately as possible (#2177)
* refactor(client): update last conversation setup with current assistant model, call newConvo again when assistants load to allow fast initial load and ensure assistant model is always the default, not the last selected model
* refactor(cache): explicitly add TTL of 2 minutes when setting titleCache and add default TTL of 10 minutes to abortKeys cache
* feat(AnthropicClient): conversation titling using Anthropic Function Calling
* chore: remove extraneous token usage logging
* fix(convos): unhandled edge case for conversation grouping (undefined conversation)
* style: Improved style of Search Bar after recent UI update
* chore: remove unused code, content part helpers
* feat: always show code option
* feat: new vector file processing strategy
* chore: remove unused client files
* chore: remove more unused client files
* chore: remove more unused client files and move used to new dir
* chore(DataIcon): add className
* WIP: Model Endpoint Settings Update, draft additional context settings
* feat: improve parsing for augmented prompt, add full context option
* chore: remove volume mounting from rag.yml as no longer necessary
* chore: bump openai to 4.29.0 and npm audit fix
* chore: remove unnecessary stream field from ContentData
* feat: new enum and types for AssistantStreamEvent
* refactor(AssistantService): remove stream field and add conversationId to text ContentData
> - return `finalMessage` and `text` on run completion
> - move `processMessages` to services/Threads to avoid circular dependencies with new stream handling
> - refactor(processMessages/retrieveAndProcessFile): add new `client` field to differentiate new RunClient type
* WIP: new assistants stream handling
* chore: stores messages to StreamRunManager
* chore: add additional typedefs
* fix: pass req and openai to StreamRunManager
* fix(AssistantService): pass openai as client to `retrieveAndProcessFile`
* WIP: streaming tool i/o, handle in_progress and completed run steps
* feat(assistants): process required actions with streaming enabled
* chore: condense early return check for useSSE useEffect
* chore: remove unnecessary comments and only handle completed tool calls when not function
* feat: add TTL for assistants run abort cacheKey
* feat: abort stream runs
* fix(assistants): render streaming cursor
* fix(assistants): hide edit icon as functionality is not supported
* fix(textArea): handle pasting edge cases; first, when onChange events wouldn't fire; second, when textarea wouldn't resize
* chore: memoize Conversations
* chore(useTextarea): reverse args order
* fix: load default capabilities when an azure is configured to support assistants, but `assistants` endpoint is not configured
* fix(AssistantSelect): update form assistant model on assistant form select
* fix(actions): handle azure strict validation for function names to fix crud for actions
* chore: remove content data debug log as it fires in rapid succession
* feat: improve UX for assistant errors mid-request
* feat: add tool call localizations and replace any domain separators from azure action names
* refactor(chat): error out tool calls without outputs during handleError
* fix(ToolService): handle domain separators allowing Azure use of actions
* refactor(StreamRunManager): types and throw Error if tool submission fails
* refactor: re-purpose `resendImages` as `resendFiles`
* refactor: re-purpose `resendImages` as `resendFiles`
* feat: upload general files
* feat: embed file during upload
* feat: delete file embeddings on file deletion
* chore(fileConfig): add epub+zip type
* feat(encodeAndFormat): handle non-image files
* feat(createContextHandlers): build context prompt from file attachments and successful RAG
* fix: prevent non-temp files as well as embedded files to be deleted on new conversation
* fix: remove temp_file_id on usage, prevent non-temp files as well as embedded files to be deleted on new conversation
* fix: prevent non-temp files as well as embedded files to be deleted on new conversation
* feat(OpenAI/Anthropic/Google): basic RAG support
* fix: delete `resendFiles` only when true (Default)
* refactor(RAG): update endpoints and pass JWT
* fix(resendFiles): default values
* fix(context/processFile): query unique ids only
* feat: rag-api.yaml
* feat: file upload improved ux for longer uploads
* chore: await embed call and catch embedding errors
* refactor: store augmentedPrompt in Client
* refactor(processFileUpload): throw error if not assistant file upload
* fix(useFileHandling): handle markdown empty mimetype issue
* chore: necessary compose file changes
* fix: remove unique field from assistant_id, which can be shared between different users
* refactor: remove unique user fields from actions/assistant queries
* feat: only allow user who saved action to delete it
* refactor: allow deletions for anyone with builder access
* refactor: update user.id when updating assistants/actions records, instead of searching with it
* fix: stringify response data in case it's an object
* fix: correctly handle path input
* fix(decryptV2): handle edge case where value is already decrypted
* chore: add assistants to supportsBalanceCheck
* feat(Transaction): getTransactions and refactor export of model
* refactor: use enum: ViolationTypes.TOKEN_BALANCE
* feat(assistants): check balance
* refactor(assistants): only add promptBuffer if new convo (for title), and remove endpoint definition
* refactor(assistants): Count tokens up to the current context window
* fix(Switcher): make Select list explicitly controlled
* feat(assistants): use assistant's default model when no model is specified instead of the last selected assistant, prevent assistant_id from being recorded in non-assistant endpoints
* chore(assistants/chat): import order
* chore: bump librechat-data-provider due to changes
* chore: rename dir from `assistant` to plural
* feat: `assistants` field for azure config, spread options in AppService
* refactor: rename constructAzureURL param for azure as `azureOptions`
* chore: bump openai and bun
* chore(loadDefaultModels): change naming of assistant -> assistants
* feat: load azure settings with currect baseURL for assistants' initializeClient
* refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig
* feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled
* feat(AppService): determine assistant models on startup, throw Error if none
* refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations
* feat: support listing and deleting assistants with azure
* feat: add model query to assistant avatar upload
* feat: add azure support for retrieveRun method
* refactor: update OpenAIClient initialization
* chore: update README
* fix(ci): tests passing
* refactor(uploadOpenAIFile): improve logging and use more efficient REST API method
* refactor(useFileHandling): add model to metadata to target Azure region compatible with current model
* chore(files): add azure naming pattern for valid file id recognition
* fix(assistants): initialize openai with first available assistant model if none provided
* refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options
* refactor(sleep): move sleep function out of Runs and into `~/server/utils`
* fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled
* refactor(uploadOpenAIFile): revert to old method
* chore(uploadOpenAIFile): use enum for file purpose
* docs: azureOpenAI update guide with more info, examples
* feat: enable/disable assistant capabilities and specify retrieval models
* refactor: optional chain conditional statement in loadConfigModels.js
* docs: add assistants examples
* chore: update librechat.example.yaml
* docs(azure): update note of file upload behavior in Azure OpenAI Assistants
* chore: update docs and add descriptive message about assistant errors
* fix: prevent message submission with invalid assistant or if files loading
* style: update Landing icon & text when assistant is not selected
* chore: bump librechat-data-provider to 0.4.8
* fix(assistants/azure): assign req.body.model for proper azure init to abort runs
* refactor(useSSE): add useCallback to all event handlers
* chore: remove modelName in defaultAssistantFormValues
* fix(SidePanel): fix layout shift on chrome my removing sidenav scrollbar
* style(ChatForm): match ChatGPT textarea effect styling
* style: fix flickering of old background color on refresh
* chore: bump anthropic SDK
* chore: update anthropic config settings (fileSupport, default models)
* feat: anthropic multi modal formatting
* refactor: update vision models and use endpoint specific max long side resizing
* feat(anthropic): multimodal messages, retry logic, and messages payload
* chore: add more safety to trimming content due to whitespace error for assistant messages
* feat(anthropic): token accounting and resending multiple images in progress
* chore: bump data-provider
* feat(anthropic): resendImages feature
* chore: optimize Edit/Ask controllers, switch model back to req model
* fix: false positive of invalid model
* refactor(validateVisionModel): use object as arg, pass in additional/available models
* refactor(validateModel): use helper function, `getModelsConfig`
* feat: add modelsConfig to endpointOption so it gets passed to all clients, use for properly validating vision models
* refactor: initialize default vision model and make sure it's available before assigning it
* refactor(useSSE): avoid resetting model if user selected a new model between request and response
* feat: show rate in transaction logging
* fix: return tokenCountMap regardless of payload shape
* chore: bump browserslist-db@latest
* refactor(EndpointService): simplify with `generateConfig`, utilize optional baseURL for OpenAI-based endpoints, use `isUserProvided` helper fn wherever needed
* refactor(custom/initializeClient): use standardized naming for common variables
* feat: user provided baseURL for openAI-based endpoints
* refactor(custom/initializeClient): re-order operations
* fix: knownendpoints enum definition and add FetchTokenConfig, bump data-provider
* refactor(custom): use tokenKey dependent on userProvided conditions for caching and fetching endpointTokenConfig, anticipate token rates from custom config
* refactor(custom): assure endpointTokenConfig is only accessed from cache if qualifies for fetching
* fix(ci): update tests for initializeClient based on userProvideURL changes
* fix(EndpointService): correct baseURL env var for assistants: `ASSISTANTS_BASE_URL`
* fix: unnecessary run cancellation on res.close() when response.run is completed
* feat(assistants): user provided URL option
* ci: update tests and add test for `assistants` endpoint
* chore: leaner condition for request closing
* chore: more descriptive error message to provide keys again
* feat: add known endpoints
* docs: add known endpoints
* update ai_endpoints.md
remove the groq icon from the example
* Update ai_endpoints.md
---------
Co-authored-by: Danny Avila <messagedaniel@protonmail.com>
* feat(data-provider): add Azure serverless inference handling through librechat.yaml
* feat(azureOpenAI): serverless inference handling in api
* docs: update docs with new azureOpenAI endpoint config fields and serverless inference endpoint setup
* chore: remove unnecessary checks for apiKey as schema would not allow apiKey to be undefined
* ci(azureOpenAI): update tests for serverless configurations
* wip: first pass for azure endpoint schema
* refactor: azure config to return groupMap and modelConfigMap
* wip: naming and schema changes
* refactor(errorsToString): move to data-provider
* feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors
* feat(AppService): load Azure groups
* refactor(azure): use imported types, write `mapModelToAzureConfig`
* refactor: move `extractEnvVariable` to data-provider
* refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests
* refactor(AppService): ensure each model is properly configured on startup
* refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config
* feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file
* refactor: redefine types as well as load azureOpenAI models from config file
* chore(ci): fix test description naming
* feat(azureOpenAI): use validated model grouping for request authentication
* chore: bump data-provider following rebase
* chore: bump config file version noting significant changes
* feat: add title options and switch azure configs for titling and vision requests
* feat: enable azure plugins from config file
* fix(ci): pass tests
* chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated
* fix(fetchModels): early return if apiKey not passed
* chore: fix azure config typing
* refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions
* feat(createLLM): use `azureOpenAIBasePath`
* feat(parsers): resolveHeaders
* refactor(extractBaseURL): handle invalid input
* feat(OpenAIClient): handle headers and baseURL for azureConfig
* fix(ci): pass `OpenAIClient` tests
* chore: extract env var for azureOpenAI group config, baseURL
* docs: azureOpenAI config setup docs
* feat: safe check of potential conflicting env vars that map to unique placeholders
* fix: reset apiKey when model switches from originally requested model (vision or title)
* chore: linting
* docs: CONFIG_PATH notes in custom_config.md
