* 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
* 👤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>
* feat(AzureOpenAI): Vision Support
* chore(ci/OpenAIClient.test): update test to reflect Azure now uses chatCompletion method as opposed to getCompletion, while still testing the latter method
* docs: update documentation mainly revolving around Azure setup, but also reformatting the 'Tokens and API' section completely
* docs: add images and links to ai_setup.md
* docs: ai setup reference
* 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
* 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: 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
* wip: proof of concept for openapi chain
* chore(api): update langchain dependency to version 0.0.105
* feat(Plugins): use ChatGPT Plugins/OpenAPI specs (first pass)
* chore(manifest.json): update pluginKey for "Browser" tool to "web-browser"
chore(handleTools.js): update customConstructor key for "web-browser" tool
* fix(handleSubmit.js): set unfinished property to false for all endpoints
* fix(handlers.js): remove unnecessary capitalizeWords function and use action.tool directly
refactor(endpoints.js): rename availableTools to tools and transform it into a map
* feat(endpoints): add plugins selector to endpoints file
refactor(CodeBlock.tsx): refactor to typescript
refactor(Plugin.tsx): use recoil Map for plugin name and refactor to typescript
chore(Message.jsx): linting
chore(PluginsOptions/index.jsx): remove comment/linting
chore(svg): export Clipboard and CheckMark components from SVG index and refactor to typescript
* fix(OpenAPIPlugin.js): rename readYamlFile function to readSpecFile
fix(OpenAPIPlugin.js): handle JSON files in readSpecFile function
fix(OpenAPIPlugin.js): handle JSON URLs in getSpec function
fix(OpenAPIPlugin.js): handle JSON variables in createOpenAPIPlugin function
fix(OpenAPIPlugin.js): add description for variables in createOpenAPIPlugin function
fix(OpenAPIPlugin.js): add optional flag for is_user_authenticated and has_user_authentication in ManifestDefinition
fix(loadSpecs.js): add optional flag for is_user_authenticated and has_user_authentication in ManifestDefinition
fix(Plugin.tsx): remove unnecessary callback parameter in getPluginName function
fix(getDefaultConversation.js): fix browser console error: handle null value for lastConversationSetup in getDefaultConversation function
* feat(api): add new tools
Add Ai PDF tool for super-fast, interactive chats with PDFs of any size, complete with page references for fact checking.
Add VoxScript tool for searching through YouTube transcripts, financial data sources, Google Search results, and more.
Add WebPilot tool for browsing and QA of webpages, PDFs, and data. Generate articles from one or more URLs.
feat(api): update OpenAPIPlugin.js
- Add support for bearer token authorization in the OpenAPIPlugin.
- Add support for custom headers in the OpenAPIPlugin.
fix(api): fix loadTools.js
- Pass the user parameter to the loadSpecs function.
* feat(PluginsClient.js): import findMessageContent function from utils
feat(PluginsClient.js): add message parameter to options object in initializeCustomAgent function
feat(PluginsClient.js): add content to errorMessage if message content is found
feat(PluginsClient.js): break out of loop if message content is found
feat(PluginsClient.js): add delay option with value of 8 to generateTextStream function
feat(PluginsClient.js): add support for process.env.PORT environment variable in app.listen function
feat(askyourpdf.json): add askyourpdf plugin configuration
feat(metar.json): add metar plugin configuration
feat(askyourpdf.yaml): add askyourpdf plugin OpenAPI specification
feat(OpenAPIPlugin.js): add message parameter to createOpenAPIPlugin function
feat(OpenAPIPlugin.js): add description_for_model to chain run message
feat(addOpenAPISpecs.js): remove verbose option from loadSpecs function call
fix(loadSpecs.js): add 'message' parameter to the loadSpecs function
feat(findMessageContent.js): add utility function to find message content in JSON objects
* fix(PluginStoreDialog.tsx): update z-index value for the dialog container
The z-index value for the dialog container was updated to "102" to ensure it appears above other elements on the page.
* chore(web_pilot.json): add "params" field with "user_has_request" parameter set to true
* chore(eslintrc.js): update eslint rules
fix(Login.tsx): add missing semicolon after import statement
* fix(package-lock.json): update langchain dependency to version ^0.0.105
* fix(OpenAPIPlugin.js): change header key from 'id' to 'librechat_user_id' for consistency and clarity
feat(plugins): add documentation for using official ChatGPT Plugins with OpenAPI specs
This commit adds a new file `chatgpt_plugins_openapi.md` to the `docs/features/plugins` directory. The file provides detailed information on how to use official ChatGPT Plugins with OpenAPI specifications. It explains the components of a plugin, including the Plugin Manifest file and the OpenAPI spec. It also covers the process of adding a plugin, editing manifest files, and customizing OpenAPI spec files. Additionally, the commit includes disclaimers about the limitations and compatibility of plugins with LibreChat. The documentation also clarifies that the use of ChatGPT Plugins with LibreChat does not violate OpenAI's Terms of Service.
The purpose of this commit is to provide comprehensive documentation for developers who want to integrate ChatGPT Plugins into their projects using OpenAPI specs. It aims to guide them through the process of adding and configuring plugins, as well as addressing potential issues and
chore(introduction.md): update link to ChatGPT Plugins documentation
docs(introduction.md): clarify the purpose of the plugins endpoint and its capabilities
* fix(OpenAPIPlugin.js): update SUFFIX variable to provide a clearer description
docs(chatgpt_plugins_openapi.md): update information about adding plugins via url on the frontend
* feat(PluginsClient.js): sendIntermediateMessage on successful Agent load
fix(PluginsClient.js, server/index.js, gptPlugins.js): linting fixes
docs(chatgpt_plugins_openapi.md): update links and add additional information
* Update chatgpt_plugins_openapi.md
* chore: rebuild package-lock file
* chore: format/lint all files with new rules
* chore: format all files
* chore(README.md): update AI model selection list
The AI model selection list in the README.md file has been updated to reflect the current options available. The "Anthropic" model has been added as an alternative name for the "Claude" model.
* fix(Plugin.tsx): type issue
* feat(tools): add new tool WebPilot
feat(tools): remove tool Weather Report
feat(tools): add new tool Prompt Perfect
feat(tools): add new tool Scholarly Graph Link
* feat(OpenAPIPlugin.js): add getSpec and readSpecFile functions
feat(OpenAPIPlugin.spec.js): add tests for readSpecFile, getSpec, and createOpenAPIPlugin functions
* chore(agent-demo-1.js): remove unused code and dependencies
chore(agent-demo-2.js): remove unused code and dependencies
chore(demo.js): remove unused code and dependencies
* feat(addOpenAPISpecs): add function to transform OpenAPI specs into desired format
feat(addOpenAPISpecs.spec): add tests for transformSpec function
fix(loadSpecs): remove debugging code
* feat(loadSpecs.spec.js): add unit tests for ManifestDefinition, validateJson, and loadSpecs functions
* fix: package file resolution bug
* chore: move scholarly_graph_link manifest to 'has-issues'
* refactor(client/hooks): convert to TS and export from index
* Update introduction.md
* Update chatgpt_plugins_openapi.md
* feat: bare bones implementation of claude client (WIP)
* feat: client implementation of Claude (WIP)
* fix: add claude to store
* feat: bare bones implementation of claude client (WIP)
* switch eventsource
* Try new method of calling claude with anthropic sdk
* (WIP) Finish initial claude client implementation and api
* debugging update
* fix(ClaudeClient.js): fix prompt prefixes for HUMAN_PROMPT and AI_PROMPT
fix(ClaudeClient.js): refactor buildMessages logic for correct handling of messages
refactor(ClaudeClient.js): refactor buildPrompt method to buildMessages for use in BaseClient sendMessage method
refactor(ClaudeClient.js): refactor getCompletion method to sendCompletion for use in BaseClient sendMessage method
refactor(ClaudeClient.js): omit getMessageMapMethod method for future refactoring
refactor(ClaudeClient.js): remove unused sendMessage method to prefer BaseClient message
fix(askClaude.js): error in getIds method was causing a frontend crash, userMessage was not defined
fix(askClaude.js): import abortMessage function from utils module
feat(askClaude.js): add /abort route to handle message abort requests
feat(askClaude.js): create abortControllers map to store abort controllers
feat(askClaude.js): implement abortAsk function to handle message abort logic
feat(askClaude.js): add onStart callback to handle message start logic
feat(HoverButtons.jsx): add 'claude' as a supported endpoint for branching
* fix(ClaudeClient.js): update defaultPrefix and promptPrefix messages
includes 'Remember your instructions' as Claude is trained to recognize labels preceding colons as participants of a conversation
* Change name from claude to anthropic
* add settings to handleSubmit and models to endpoints
* Implement Claude settings
* use svg for anthropic icon
* Implement abort
* Implement reverse proxy
* remove png icons
* replace web browser plugin
* remove default prefix
* fix styling of claude icon
* fix console error from svg properties
* remove single quote requirement from eslintrc
* fix(AnthropicClient.js): fix labels for HUMAN_PROMPT and AI_PROMPT
feat(AnthropicClient.js): add support for custom userLabel and modelLabel options
feat(AnthropicClient.js): add user_id metadata to requestOptions in getCompletion method
feat(anthropic, AnthropicClient.js): add debug logging
* refactor(AnthropicClient.js): change promptSuffix variable declaration from let to const
* fix(EndpointOptionsDialog.jsx): remove unnecessary code that changes endpointName from 'anthropic' to 'Claude'
fix(utils/index.jsx): fix alternateName value for 'anthropic' from 'Claude' to 'Anthropic'
* fix(AnthropicIcon): fix sizing/rendering/name of anthropic icon
* fix(AnthropicClient.js): change maxContextTokens default value to 99999
fix(AnthropicClient.js): change maxResponseTokens default value to 1500
fix(AnthropicClient.js): remove unnecessary code for setting maxContextTokens and maxResponseTokens based on modelOptions
fix(AnthropicClient.js): change max_tokens_to_sample default value to 1500
fix(anthropic.js): pass endpointOption.token to AnthropicClient constructor
* Update .env.example
* fix(AnthropicClient.js): remove exceeding message when it puts us over the token limit
fix(AnthropicClient.js): handle case when the first message exceeds the token limit
fix(AnthropicClient.js): throw error when prompt is too long
fix(AnthropicClient.js): adjust max tokens calculation to use maxOutputTokens
fix(anthropic.js): remove console.log statement in ask route
* feat(server/index): increase incoming json payload allowed size
---------
Co-authored-by: Danny Avila <messagedaniel@protonmail.com>
* Update documents for mkdocs compatibility
* documents update
* documents update
* Update README.md
* Update README.md
add link to "https://docs.librechat.ai" on the logo
* document updates
* docs - badge updates
* docs - badge updates
* docs - badge updates
* Update docker_install.md
* Update .env.example
update default MONGO_URI to port 27018 so local install can communicate with the docker db
* Update windows_install.md
fix typo
* Create HetznerUbuntuSetup.md
Step-by-step guide for someone who is starting from scratch on this project with a bare server.
* Updated Readme & Heroku
I submitted the original Heroku.md (to the discord) and they are way out of date. Just corrected them, moved the Hetzner file to the cloud deploy, and updated the readme to point to the file.
* Update HetznerUbuntuSetup.md
* Update README.md
