* 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
* WIP: initial logging changes
add several transports in ~/config/winston
omit messages in logs, truncate long strings
add short blurb in dotenv for debug logging
GoogleClient: using logger
OpenAIClient: using logger, handleOpenAIErrors
Adding typedef for payload message
bumped winston and using winston-daily-rotate-file
moved config for server paths to ~/config dir
Added `DEBUG_LOGGING=true` to .env.example
* WIP: Refactor logging statements in code
* WIP: Refactor logging statements and import configurations
* WIP: Refactor logging statements and import configurations
* refactor: broadcast Redis initialization message with `info` not `debug`
* refactor: complete Refactor logging statements and import configurations
* chore: delete unused tools
* fix: circular dependencies due to accessing logger
* refactor(handleText): handle booleans and write tests
* refactor: redact sensitive values, better formatting
* chore: improve log formatting, avoid passing strings to 2nd arg
* fix(ci): fix jest tests due to logger changes
* refactor(getAvailablePluginsController): cache plugins as they are static and avoids async addOpenAPISpecs call every time
* chore: update docs
* chore: update docs
* chore: create separate meiliSync logger, clean up logs to avoid being unnecessarily verbose
* chore: spread objects where they are commonly logged to allow string truncation
* chore: improve error log formatting
* 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
* refactor(addTitle): avoid generating title when a request was aborted
* chore: bump openai to latest
* fix: catch OpenAIError Uncaught error as last resort
* fix: handle final messages excludes role=assistant
* Update OpenAIClient.js
* chore: fix linting errors
* Update azure_cognitive_search.md
* Updated: Azure Cognitive Search Plugin to Azure AI Search Plugin.
Update Docs: Azure Cognitive Search Plugin to Azure AI Search Plugin.
Updated:.env.example Azure Cognitive Search to Azure AI Search
Updated: mkdocs.yml link
Updated: SDK Azure 11.3.2 to 12.0.0
* fix:.env AZURE- to AZURE_
* Update azure_ai_search.md
* Updated:(api/package.json, package-lock.json): updated for new version the
plugin (@azure/search-documents)
* fix:Resolved incorrect file name AzureAISearch
* fix:.env Azure AI Search
* fix:"-" to "_"
* Update Docs: Azure AI Search ith an improved tutorial featuring images and easier-to-understand instructions
fix: Change name of plugin "Azure Ai Search" to "Azure AI Search" i
* Update:Version of REST API versions (Azure AI Search)
* Update azure_ai_search.md
* Update azure_ai_search.md
* Update azure_ai_search.md
* fix: docs Azure AI Seach Images were not appearing.
* fix:Updated to the new repository with working APIs
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: o AzureAiSearch.js
* Atualizar o AzureAISearch.js
* Update/fix:EnvironmentVariablesForDeprecation
* fix:The file is outdated and needs to be updated.
* fix:The file is outdated and needs to be updated.
* update: translation portuguese brazilian
* Refactor:Improve Readability and Cleanliness of AzureAISearch Class
* Update AzureAiSearch.js
* Update AzureAISearch.js
* fix:getServiceEndpoint
* fix: getServiceEndpoint
* fix:AzureAISearch
* fix: Fix functions erros AzureAISearch
* fix: Update API_VERSION
* fix: AzureAISearch files outdated
* Update azure_cognitive_search.md
* Updated: Azure Cognitive Search Plugin to Azure AI Search Plugin.
Update Docs: Azure Cognitive Search Plugin to Azure AI Search Plugin.
Updated:.env.example Azure Cognitive Search to Azure AI Search
Updated: mkdocs.yml link
Updated: SDK Azure 11.3.2 to 12.0.0
* fix:.env AZURE- to AZURE_
* Update azure_ai_search.md
* Updated:(api/package.json, package-lock.json): updated for new version the
plugin (@azure/search-documents)
* fix:Resolved incorrect file name AzureAISearch
* fix:.env Azure AI Search
* fix:"-" to "_"
* Update Docs: Azure AI Search ith an improved tutorial featuring images and easier-to-understand instructions
fix: Change name of plugin "Azure Ai Search" to "Azure AI Search" i
* Update:Version of REST API versions (Azure AI Search)
* Update azure_ai_search.md
* Update azure_ai_search.md
* Update azure_ai_search.md
* fix: docs Azure AI Seach Images were not appearing.
* fix:Updated to the new repository with working APIs
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: Added Compatibility for Previous Environment Variable Names in AzureAISearch Plugin
* Update: o AzureAiSearch.js
* Atualizar o AzureAISearch.js
* Update/fix:EnvironmentVariablesForDeprecation
* fix:The file is outdated and needs to be updated.
* fix:The file is outdated and needs to be updated.
* update: translation portuguese brazilian
* Refactor:Improve Readability and Cleanliness of AzureAISearch Class
* Update AzureAiSearch.js
* Update AzureAISearch.js
* fix: attempt to catch more errors, especially when generation started
* fix: pass the right properties to getResponseSender
* chore: Update .eslintrc.js and fix sendEmail.js linting errors
* fix: correct preset title for Anthropic endpoint
* fix(Settings/Anthropic): show correct default value for LLM temperature
* fix(AnthropicClient): use `getModelMaxTokens` to get the correct LLM max context tokens, correctly set default temperature to 1, use only 2 params for class constructor, use `getResponseSender` to add correct sender to response message
* refactor(/api/ask|edit/anthropic): save messages to database after the final response is sent to the client, and do not save conversation from route controller
* fix(initializeClient/anthropic): correctly pass client options (endpointOption) to class initialization
* feat(ModelService/Anthropic): add claude-1.2
* feat: add timer duration to showToast, show toast for preset selection
* refactor: replace old /chat/ route with /c/. e2e tests will fail here
* refactor: move typedefs to root of /api/ and add a few to assistant types in TS
* refactor: reorganize data-provider imports, fix dependency cycle, strategize new plan to separate react dependent packages
* feat: add dataService for uploading images
* feat(data-provider): add mutation keys
* feat: file resizing and upload
* WIP: initial API image handling
* fix: catch JSON.parse of localStorage tools
* chore: experimental: use module-alias for absolute imports
* refactor: change temp_file_id strategy
* fix: updating files state by using Map and defining react query callbacks in a way that keeps them during component unmount, initial delete handling
* feat: properly handle file deletion
* refactor: unexpose complete filepath and resize from server for higher fidelity
* fix: make sure resized height, width is saved, catch bad requests
* refactor: use absolute imports
* fix: prevent setOptions from being called more than once for OpenAIClient, made note to fix for PluginsClient
* refactor: import supportsFiles and models vars from schemas
* fix: correctly replace temp file id
* refactor(BaseClient): use absolute imports, pass message 'opts' to buildMessages method, count tokens for nested objects/arrays
* feat: add validateVisionModel to determine if model has vision capabilities
* chore(checkBalance): update jsdoc
* feat: formatVisionMessage: change message content format dependent on role and image_urls passed
* refactor: add usage to File schema, make create and updateFile, correctly set and remove TTL
* feat: working vision support
TODO: file size, type, amount validations, making sure they are styled right, and making sure you can add images from the clipboard/dragging
* feat: clipboard support for uploading images
* feat: handle files on drop to screen, refactor top level view code to Presentation component so the useDragHelpers hook has ChatContext
* fix(Images): replace uploaded images in place
* feat: add filepath validation to protect sensitive files
* fix: ensure correct file_ids are push and not the Map key values
* fix(ToastContext): type issue
* feat: add basic file validation
* fix(useDragHelpers): correct context issue with `files` dependency
* refactor: consolidate setErrors logic to setError
* feat: add dialog Image overlay on image click
* fix: close endpoints menu on click
* chore: set detail to auto, make note for configuration
* fix: react warning (button desc. of button)
* refactor: optimize filepath handling, pass file_ids to images for easier re-use
* refactor: optimize image file handling, allow re-using files in regen, pass more file metadata in messages
* feat: lazy loading images including use of upload preview
* fix: SetKeyDialog closing, stopPropagation on Dialog content click
* style(EndpointMenuItem): tighten up the style, fix dark theme showing in lightmode, make menu more ux friendly
* style: change maxheight of all settings textareas to 138px from 300px
* style: better styling for textarea and enclosing buttons
* refactor(PresetItems): swap back edit and delete icons
* feat: make textarea placeholder dynamic to endpoint
* style: show user hover buttons only on hover when message is streaming
* fix: ordered list not going past 9, fix css
* feat: add User/AI labels; style: hide loading spinner
* feat: add back custom footer, change original footer text
* feat: dynamic landing icons based on endpoint
* chore: comment out assistants route
* fix: autoScroll to newest on /c/ view
* fix: Export Conversation on new UI
* style: match message style of official more closely
* ci: fix api jest unit tests, comment out e2e tests for now as they will fail until addressed
* feat: more file validation and use blob in preview field, not filepath, to fix temp deletion
* feat: filefilter for multer
* feat: better AI labels based on custom name, model, and endpoint instead of `ChatGPT`
* feat(azureOpenAI): allow switching deployment name by model name
* ci: add unit tests and throw error on no api key provided to avoid API call
* fix(gptPlugins/initializeClient): check if azure is enabled; ci: add unit tests for gptPlugins/initializeClient
* fix(ci): fix expected error message for partial regex match: unexpected token
* chore: add back BrowserOp
* chore: make CI env and not DEV env generate refresh tokens every time
* chore: make 'CI' env var captilization uniform across the app
* chore: change NODE_ENV for playwright to
* fix(PluginStoreDialog) can't search on page 2/3.. & reset to page 1 when install and unistall
* var fix
* removed plugins that aren't working
* remove prompt perfect beacuase it isn't working
* fix(PluginStoreItem) set page 1 and reset search when dialog is close
* fix(OpenAIClient): handle completions request in reverse proxy, also force prompt by env var
* fix(reverseProxyUrl): allow url without /v1/ but add server warning as it will not be compatible with plugins
* fix(ModelService): handle reverse proxy without v1
* refactor: make changes cleaner
* ci(OpenAIClient): add tests for OPENROUTER_API_KEY, FORCE_PROMPT, and reverseProxyUrl handling in setOptions
* refactor(Chains/llms): allow passing callbacks
* refactor(BaseClient): accurately count completion tokens as generation only
* refactor(OpenAIClient): remove unused getTokenCountForResponse, pass streaming var and callbacks in initializeLLM
* wip: summary prompt tokens
* refactor(summarizeMessages): new cut-off strategy that generates a better summary by adding context from beginning, truncating the middle, and providing the end
wip: draft out relevant providers and variables for token tracing
* refactor(createLLM): make streaming prop false by default
* chore: remove use of getTokenCountForResponse
* refactor(agents): use BufferMemory as ConversationSummaryBufferMemory token usage not easy to trace
* chore: remove passing of streaming prop, also console log useful vars for tracing
* feat: formatFromLangChain helper function to count tokens for ChatModelStart
* refactor(initializeLLM): add role for LLM tracing
* chore(formatFromLangChain): update JSDoc
* feat(formatMessages): formats langChain messages into OpenAI payload format
* chore: install openai-chat-tokens
* refactor(formatMessage): optimize conditional langChain logic
fix(formatFromLangChain): fix destructuring
* feat: accurate prompt tokens for ChatModelStart before generation
* refactor(handleChatModelStart): move to callbacks dir, use factory function
* refactor(initializeLLM): rename 'role' to 'context'
* feat(Balance/Transaction): new schema/models for tracking token spend
refactor(Key): factor out model export to separate file
* refactor(initializeClient): add req,res objects to client options
* feat: add-balance script to add to an existing users' token balance
refactor(Transaction): use multiplier map/function, return balance update
* refactor(Tx): update enum for tokenType, return 1 for multiplier if no map match
* refactor(Tx): add fair fallback value multiplier incase the config result is undefined
* refactor(Balance): rename 'tokens' to 'tokenCredits'
* feat: balance check, add tx.js for new tx-related methods and tests
* chore(summaryPrompts): update prompt token count
* refactor(callbacks): pass req, res
wip: check balance
* refactor(Tx): make convoId a String type, fix(calculateTokenValue)
* refactor(BaseClient): add conversationId as client prop when assigned
* feat(RunManager): track LLM runs with manager, track token spend from LLM,
refactor(OpenAIClient): use RunManager to create callbacks, pass user prop to langchain api calls
* feat(spendTokens): helper to spend prompt/completion tokens
* feat(checkBalance): add helper to check, log, deny request if balance doesn't have enough funds
refactor(Balance): static check method to return object instead of boolean now
wip(OpenAIClient): implement use of checkBalance
* refactor(initializeLLM): add token buffer to assure summary isn't generated when subsequent payload is too large
refactor(OpenAIClient): add checkBalance
refactor(createStartHandler): add checkBalance
* chore: remove prompt and completion token logging from route handler
* chore(spendTokens): add JSDoc
* feat(logTokenCost): record transactions for basic api calls
* chore(ask/edit): invoke getResponseSender only once per API call
* refactor(ask/edit): pass promptTokens to getIds and include in abort data
* refactor(getIds -> getReqData): rename function
* refactor(Tx): increase value if incomplete message
* feat: record tokenUsage when message is aborted
* refactor: subtract tokens when payload includes function_call
* refactor: add namespace for token_balance
* fix(spendTokens): only execute if corresponding token type amounts are defined
* refactor(checkBalance): throws Error if not enough token credits
* refactor(runTitleChain): pass and use signal, spread object props in create helpers, and use 'call' instead of 'run'
* fix(abortMiddleware): circular dependency, and default to empty string for completionTokens
* fix: properly cancel title requests when there isn't enough tokens to generate
* feat(predictNewSummary): custom chain for summaries to allow signal passing
refactor(summaryBuffer): use new custom chain
* feat(RunManager): add getRunByConversationId method, refactor: remove run and throw llm error on handleLLMError
* refactor(createStartHandler): if summary, add error details to runs
* fix(OpenAIClient): support aborting from summarization & showing error to user
refactor(summarizeMessages): remove unnecessary operations counting summaryPromptTokens and note for alternative, pass signal to summaryBuffer
* refactor(logTokenCost -> recordTokenUsage): rename
* refactor(checkBalance): include promptTokens in errorMessage
* refactor(checkBalance/spendTokens): move to models dir
* fix(createLanguageChain): correctly pass config
* refactor(initializeLLM/title): add tokenBuffer of 150 for balance check
* refactor(openAPIPlugin): pass signal and memory, filter functions by the one being called
* refactor(createStartHandler): add error to run if context is plugins as well
* refactor(RunManager/handleLLMError): throw error immediately if plugins, don't remove run
* refactor(PluginsClient): pass memory and signal to tools, cleanup error handling logic
* chore: use absolute equality for addTitle condition
* refactor(checkBalance): move checkBalance to execute after userMessage and tokenCounts are saved, also make conditional
* style: icon changes to match official
* fix(BaseClient): getTokenCountForResponse -> getTokenCount
* fix(formatLangChainMessages): add kwargs as fallback prop from lc_kwargs, update JSDoc
* refactor(Tx.create): does not update balance if CHECK_BALANCE is not enabled
* fix(e2e/cleanUp): cleanup new collections, import all model methods from index
* fix(config/add-balance): add uncaughtException listener
* fix: circular dependency
* refactor(initializeLLM/checkBalance): append new generations to errorMessage if cost exceeds balance
* fix(handleResponseMessage): only record token usage in this method if not error and completion is not skipped
* fix(createStartHandler): correct condition for generations
* chore: bump postcss due to moderate severity vulnerability
* chore: bump zod due to low severity vulnerability
* chore: bump openai & data-provider version
* feat(types): OpenAI Message types
* chore: update bun lockfile
* refactor(CodeBlock): add error block formatting
* refactor(utils/Plugin): factor out formatJSON and cn to separate files (json.ts and cn.ts), add extractJSON
* chore(logViolation): delete user_id after error is logged
* refactor(getMessageError -> Error): change to React.FC, add token_balance handling, use extractJSON to determine JSON instead of regex
* fix(DALL-E): use latest openai SDK
* chore: reorganize imports, fix type issue
* feat(server): add balance route
* fix(api/models): add auth
* feat(data-provider): /api/balance query
* feat: show balance if checking is enabled, refetch on final message or error
* chore: update docs, .env.example with token_usage info, add balance script command
* fix(Balance): fallback to empty obj for balance query
* style: slight adjustment of balance element
* docs(token_usage): add PR notes
* refactor: pass model in message edit payload, use encoder in standalone util function
* feat: add summaryBuffer helper
* refactor(api/messages): use new countTokens helper and add auth middleware at top
* wip: ConversationSummaryBufferMemory
* refactor: move pre-generation helpers to prompts dir
* chore: remove console log
* chore: remove test as payload will no longer carry tokenCount
* chore: update getMessagesWithinTokenLimit JSDoc
* refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests
* refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message
* chore: add newer model to token map
* fix: condition was point to prop of array instead of message prop
* refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary
refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present
fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present
* chore: log previous_summary if debugging
* refactor(formatMessage): assume if role is defined that it's a valid value
* refactor(getMessagesWithinTokenLimit): remove summary logic
refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned
refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary
refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method
refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic
* fix: undefined handling and summarizing only when shouldRefineContext is true
* chore(BaseClient): fix test results omitting system role for summaries and test edge case
* chore: export summaryBuffer from index file
* refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer
* feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine'
* refactor: rename refineMessages method to summarizeMessages for clarity
* chore: clarify summary future intent in .env.example
* refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed
* feat(gptPlugins): enable summarization for plugins
* refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner
* refactor(agents): use ConversationSummaryBufferMemory for both agent types
* refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests
* refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers
* fix: forgot to spread formatMessages also took opportunity to pluralize filename
* refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing
* ci(formatMessages): add more exhaustive checks for langchain messages
* feat: add debug env var for OpenAI
* chore: delete unnecessary comments
* chore: add extra note about summary feature
* fix: remove tokenCount from payload instructions
* fix: test fail
* fix: only pass instructions to payload when defined or not empty object
* refactor: fromPromptMessages is deprecated, use renamed method fromMessages
* refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility
* fix(PluginsClient.buildPromptBody): handle undefined message strings
* chore: log langchain titling error
* feat: getModelMaxTokens helper
* feat: tokenSplit helper
* feat: summary prompts updated
* fix: optimize _CUT_OFF_SUMMARIZER prompt
* refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context
* fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context,
refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this
refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning
* fix(handleContextStrategy): handle case where incoming prompt is bigger than model context
* chore: rename refinedContent to splitText
* chore: remove unnecessary debug log
* feat: add option to disable titling as well as decide what model to use for OpenAI titling
refactor: truncate conversation text so it caps around 200 tokens for titling requests, optimize some of the title prompts
* feat: disable bing titling with TITLE_CONVO as well
* feat: add global teardown to remove test data and add registration/log-out to auth flow
* refactor(models/Conversation): index user field and add JSDoc to deleteConvos
* refactor: add user index to message schema and ensure user is saved to each Message
* refactor: add user to each saveMessage call
* fix: handle case where title is null in zod schema
* feat(e2e): ensure messages are deleted on cleanUp
* fix: set last convo for all endpoints on conversation update
* fix: enable registration for CI env
* chore(ChatGPTClient.js): add support for OpenRouter API
chore(OpenAIClient.js): add support for OpenRouter API
* chore: comment out token debugging
* chore: add back streamResult assignment
* chore: remove double condition/assignment from merging
* refactor(routes/endpoints): -> controller/services logic
* feat: add openrouter model fetching
* chore: remove unused endpointsConfig in cleanupPreset function
* refactor: separate models concern from endpointsConfig
* refactor(data-provider): add TModels type and make TEndpointsConfig adaptible to new endpoint keys
* refactor: complete models endpoint service in data-provider
* refactor: onMutate for refreshToken and login, invalidate models query
* feat: complete models endpoint logic for frontend
* chore: remove requireJwtAuth from /api/endpoints and /api/models as not implemented yet
* fix: endpoint will not be overwritten and instead use active value
* feat: openrouter support for plugins
* chore(EndpointOptionsDialog): remove unused recoil value
* refactor(schemas/parseConvo): add handling of secondaryModels to use first of defined secondary models, which includes last selected one as first, or default to the convo's secondary model value
* refactor: remove hooks from store and move to hooks
refactor(switchToConversation): make switchToConversation use latest recoil state, which is necessary to get the most up-to-date models list, replace wrapper function
refactor(getDefaultConversation): factor out logic into 3 pieces to reduce complexity.
* fix: backend tests
* feat: optimistic update by calling newConvo when models are fetched
* feat: openrouter support for titling convos
* feat: cache models fetch
* chore: add missing dep to AuthContext useEffect
* chore: fix useTimeout types
* chore: delete old getDefaultConvo file
* chore: remove newConvo logic from Root, remove console log from api models caching
* chore: ensure bun is used for building in b:client script
* fix: default endpoint will not default to null on a completely fresh login (no localStorage/cookies)
* chore: add openrouter docs to free_ai_apis.md and .env.example
* chore: remove openrouter console logs
* feat: add debugging env variable for Plugins
* refactor: require Auth middleware in route index files
* feat: concurrent message limiter
* feat: complete concurrent message limiter with caching
* refactor: SSE response methods separated from handleText
* fix(abortMiddleware): fix req and res order to standard, use endpointOption in req.body
* chore: minor name changes
* refactor: add isUUID condition to saveMessage
* fix(concurrentLimiter): logic correctly handles the max number of concurrent messages and res closing/finalization
* chore: bump keyv and remove console.log from Message
* fix(concurrentLimiter): ensure messages are only saved in later message children
* refactor(concurrentLimiter): use KeyvFile instead, could make other stores configurable in the future
* feat: add denyRequest function for error responses
* feat(utils): add isStringTruthy function
Introduce the isStringTruthy function to the utilities module to check if a string value is a case-insensitive match for 'true'
* feat: add optional message rate limiters by IP and userId
* feat: add optional message rate limiters by IP and userId to edit route
* refactor: rename isStringTruthy to isTrue for brevity
* refactor(getError): use map to make code cleaner
* refactor: use memory for concurrent rate limiter to prevent clearing on startup/exit, add multiple log files, fix error message for concurrent violation
* feat: check if errorMessage is object, stringify if so
* chore: send object to denyRequest which will stringify it
* feat: log excessive requests
* fix(getError): correctly pluralize messages
* refactor(limiters): make type consistent between logs and errorMessage
* refactor(cache): move files out of lib/db into separate cache dir
>> feat: add getLogStores function so Keyv instance is not redundantly created on every violation
feat: separate violation logging to own function with logViolation
* fix: cache/index.js export, properly record userViolations
* refactor(messageLimiters): use new logging method, add logging to registrations
* refactor(logViolation): make userLogs an array of logs per user
* feat: add logging to login limiter
* refactor: pass req as first param to logViolation and record offending IP
* refactor: rename isTrue helper fn to isEnabled
* feat: add simple non_browser check and log violation
* fix: open handles in unit tests, remove KeyvMongo as not used and properly mock global fetch
* chore: adjust nodemon ignore paths to properly ignore logs
* feat: add math helper function for safe use of eval
* refactor(api/convos): use middleware at top of file to avoid redundancy
* feat: add delete all static method for Sessions
* fix: redirect to login on refresh if user is not found, or the session is not found but hasn't expired (ban case)
* refactor(getLogStores): adjust return type
* feat: add ban violation and check ban logic
refactor(logViolation): pass both req and res objects
* feat: add removePorts helper function
* refactor: rename getError to getMessageError and add getLoginError for displaying different login errors
* fix(AuthContext): fix type issue and remove unused code
* refactor(bans): ban by ip and user id, send response based on origin
* chore: add frontend ban messages
* refactor(routes/oauth): add ban check to handler, also consolidate logic to avoid redundancy
* feat: add ban check to AI messaging routes
* feat: add ban check to login/registration
* fix(ci/api): mock KeyvMongo to avoid tests hanging
* docs: update .env.example
> refactor(banViolation): calculate interval rate crossover, early return if duration is invalid
ci(banViolation): add tests to ensure users are only banned when expected
* docs: improve wording for mod system
* feat: add configurable env variables for violation scores
* chore: add jsdoc for uaParser.js
* chore: improve ban text log
* chore: update bun test scripts
* refactor(math.js): add fallback values
* fix(KeyvMongo/banLogs): refactor keyv instances to top of files to avoid memory leaks, refactor ban logic to use getLogStores instead
refactor(getLogStores): get a single log store by type
* fix(ci): refactor tests due to banLogs changes, also make sure to clear and revoke sessions even if ban duration is 0
* fix(banViolation.js): getLogStores import
* feat: handle 500 code error at login
* fix(middleware): handle case where user.id is _id and not just id
* ci: add ban secrets for backend unit tests
* refactor: logout user upon ban
* chore: log session delete message only if deletedCount > 0
* refactor: change default ban duration (2h) and make logic more clear in JSDOC
* fix: login and registration limiters will now return rate limiting error
* fix: userId not parsable as non ObjectId string
* feat: add useTimeout hook to properly clear timeouts when invoking functions within them
refactor(AuthContext): cleanup code by using new hook and defining types in ~/common
* fix: login error message for rate limits
* docs: add info for automated mod system and rate limiters, update other docs accordingly
* chore: bump data-provider version
* docs: make_your_own.md formatting fix for mkdocs
* feat: add express-mongo-sanitize
feat: add login/registration rate limiting
* chore: remove unnecessary console log
* wip: remove token handling from localStorage to encrypted DB solution
* refactor: minor change to UserService
* fix mongo query and add keys route to server
* fix backend controllers and simplify schema/crud
* refactor: rename token to key to separate from access/refresh tokens, setTokenDialog -> setKeyDialog
* refactor(schemas): TEndpointOption token -> key
* refactor(api): use new encrypted key retrieval system
* fix(SetKeyDialog): fix key prop error
* fix(abortMiddleware): pass random UUID if messageId is not generated yet for proper error display on frontend
* fix(getUserKey): wrong prop passed in arg, adds error handling
* fix: prevent message without conversationId from saving to DB, prevents branching on the frontend to a new top-level branch
* refactor: change wording of multiple display messages
* refactor(checkExpiry -> checkUserKeyExpiry): move to UserService file
* fix: type imports from common
* refactor(SubmitButton): convert to TS
* refactor(key.ts): change localStorage map key name
* refactor: add new custom tailwind classes to better match openAI colors
* chore: remove unnecessary warning and catch ScreenShot error
* refactor: move userKey frontend logic to hooks and remove use of localStorage and instead query the DB
* refactor: invalidate correct query key, memoize userKey hook, conditionally render SetKeyDialog to avoid unnecessary calls, refactor SubmitButton props and useEffect for showing 'provide key first'
* fix(SetKeyDialog): use enum-like object for expiry values
feat(Dropdown): add optionsClassName to dynamically change dropdown options container classes
* fix: handle edge case where user had provided a key but the server changes to env variable for keys
* refactor(OpenAI/titleConvo): move titling to client to retain authorized credentials in message lifecycle for titling
* fix(azure): handle user_provided keys correctly for azure
* feat: send user Id to OpenAI to differentiate users in completion requests
* refactor(OpenAI/titleConvo): adding tokens helps minimize LLM from using the language in title response
* feat: add delete endpoint for keys
* chore: remove throttling of title
* feat: add 'Data controls' to Settings, add 'Revoke' keys feature in Key Dialog and Data controls
* refactor: reorganize PluginsClient files in langchain format
* feat: use langchain for titling convos
* chore: cleanup titling convo, with fallback to original method, escape braces, use only snippet for language detection
* refactor: move helper functions to appropriate langchain folders for reusability
* fix: userProvidesKey handling for gptPlugins
* fix: frontend handling of plugins key
* chore: cleanup logging and ts-ignore SSE
* fix: forwardRef misuse in DangerButton
* fix(GoogleConfig/FileUpload): localize errors and simplify validation with zod
* fix: cleanup google logging and fix user provided key handling
* chore: remove titling from google
* chore: removing logging from browser endpoint
* wip: fix menu flicker
* feat: useLocalStorage hook
* feat: add Tooltip for UI
* refactor(EndpointMenu): utilize Tooltip and useLocalStorage, remove old 'New Chat' slide-over
* fix(e2e): use testId for endpoint menu trigger
* chore: final touches to EndpointMenu before future refactor to declutter component
* refactor(localization): change select endpoint to open menu and add translations
* chore: add final prop to error message response
* ci: minor edits to facilitate testing
* ci: new e2e test which tests for new key setting/revoking features
