* Adding UID, GID to prevent permission problems when running docker compose
as user and not as root.
* Update docker_install.md
Add comment on pre-creating volume mount directories.
---------
Co-authored-by: Erich Focht <efocht@gmail.com>
Co-authored-by: Erich Focht <efocht@users.noreply.github.com>
* 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
* 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
* feat(api): refresh token logic
* feat(client): refresh token logic
* feat(data-provider): refresh token logic
* fix: SSE uses esm
* chore: add default refresh token expiry to AuthService, add message about env var not set when generating a token
* chore: update scripts to more compatible bun methods, ran bun install again
* chore: update env.example and playwright workflow with JWT_REFRESH_SECRET
* chore: update breaking changes docs
* chore: add timeout to url visit
* chore: add default SESSION_EXPIRY in generateToken logic, add act script for testing github actions
* fix(e2e): refresh automatically in development environment to pass e2e tests
* 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
* chore: add 'api' image to tag release workflow
* docs: update DO deployment docs to include instruction about latest stable release, as well as security best practices
* Release v0.5.8
* docs: Update digitalocean.md with firewall section images
* docs: make_your_own.md formatting fix for mkdocs
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
* feat(AzureCognitiveSearchPlugin)
* feat(tools/AzureCognitiveSearch.js): Add a new plugin (not structured
version)
* feat(tools/structured/AzureCognitiveSearch.js): Add a new plugin (structured version)
* feat(tools/manifest.json, tools/index.js, tools/util/handleTools.js):
Add configurations for the plugin
* feat(api/package.json, package-lock.json): Installed a new package for the
plugin (@azure/search-documents)
* feat(.env.example): Add new environment variables for the plugin
Here is the link to the corresponding discussion page:
https://github.com/danny-avila/LibreChat/discussions/567
* docs(AzureCognitiveSearchPlugin)
* docs(features/plugins/azure_cognitive_search.md): Add a new document
for the plugin
* (fix:.env.example)
* reverted extra whitespaces removed by the editor
* docs(mkdocs.yml)
* Add the Azure Cognitive Search Plugin's documentation item to
mkdocs.yml.
fix(update.js): remove --volumes flag from downCommand
docs(digitalocean.md): update command description to remove --volumes flag
fix(package.json): remove --volumes flag from stop:deployed script
* docs: wip: digitalocean guide
* feat(deployed-update.js): add script for updating deployed instance
docs(deployment/digitalocean.md): update instructions for Digital Ocean deployment
* fix(deployed-update.js): change docker-compose pull command to only pull api image
fix(digitalocean.md): update instructions to add user to docker group and start docker before running installation/update script
* feat(package.json): add 'update:deployed' script for deployed updates
docs: wip: digitalocean
* chore(package.json): add start:deployed and stop:deployed scripts for deploying with docker-compose
* docs(deployment/digitalocean.md): add instructions for stopping and starting the docker container
* docs(deployment/digitalocean.md): add instructions for stopping and starting the docker container
docs(deployment/digitalocean.md): add command for checking active docker containers
docs(deployment/digitalocean.md): provide guidance for troubleshooting before creating a new issue
* fix(deployed-update.js): refactor code to use getCurrentBranch function
feat(deployed-update.js): add support for rebasing current branch onto main branch
docs(digitalocean.md): update instructions for deploying with Docker on remote Ubuntu server
package.json: add rebase:deployed script to run deployed-update.js with --rebase flag
* fix(deployed-update.js): fix variable scope issue in deployed-update.js
docs(digitalocean.md): fix grammar and clarify instructions for editing NGINX file
* docs(deployment): add warning about potential merge conflicts when editing branch
docs(deployment): clarify that code changes in environment won't be reflected
* docs: Update digitalocean.md with images and revised instructions
* docs(digitalocean.md): formatting
* docs(digitalocean.md): add ToC
* docs(digitalocean.md): fix ToC
* Update mkdocs.yml
* feat: add Dockerfile.multi for building API, Client, and Data Provider
feat: add nginx.conf for client-side routing in Nginx
feat: add deploy-compose.yml for deploying the application with Docker Compose
chore: update version in deploy-compose.yml to 3.8
chore: remove unused configuration in docs/dev/deploy-compose.yml
* chore(Dockerfile.multi): Remove data-provider build stage
chore(deploy-compose.yml): Add NODE_ENV=production environment variable
* chore(Dockerfile.multi): add environment variable NODE_OPTIONS with value "--max-old-space-size=776"
feat(Dockerfile.multi): copy client build output to api build stage
* chore(Dockerfile.multi): update NODE_OPTIONS to increase max-old-space-size to 2048
chore(deploy-compose.yml): remove NODE_ENV=production environment variable
* feat(dev-images.yml): add GitHub Actions workflow for Docker multi-stage build on push to main branch
* feat(deploy-compose.yml): add docker-compose file for development deployment
A new docker-compose file has been added for development deployment. This file defines the services required for running the application in a development environment. The services include a client service running nginx, an api service running the LibreChat application, a mongodb service for the database, and a meilisearch service for search functionality.
The client service is configured to use the latest version of the nginx image, with port 3080 mapped to port 80. It also mounts the nginx.conf file and the client's node_modules directory.
The api service is named LibreChat and is built from the librechat image. It exposes port 9000 and depends on the mongodb service. It also mounts the api directory, the .env files, and the client's node_modules directory.
The mongodb service is named chat-mongodb and uses the mongo image. It exposes port 27018 and mounts the data-node directory for data storage
* chore(deploy-compose.yml): update env_file path to ../../.env
* chore(deploy-compose.yml): update image name to librechat_deploy
chore(deploy-compose.yml): update build context to ../../
* chore(deploy-compose.yml): update image and comment out build section
The image for the service has been updated to `ghcr.io/danny-avila/librechat:latest`. The build section has been commented out as it is no longer needed.
* refactor(nginx.conf): reformat nginx.conf for better readability and maintainability
* chore(nginx.conf): add worker_connections configuration to events block
chore(nginx.conf): add listen configuration to server block
* chore(deploy-compose.yml): update nginx container ports configuration
feat(deploy-compose.yml): add support for HTTPS by exposing port 443
* docs(dev/README.md): add instructions for deploying with deploy-compose.yml
* docs(dev/README.md): update instructions for deploying with deploy-compose.yml
* Add a restart to melisearch in docker-compose.yml
* Oauth fixes for Cognito
* Use the username or email for full name from oath if not provided
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Co-authored-by: Donavan <snark@hey.com>
feat(single-compose.yml): add single-compose.yml for building leaner app container without meilisearch and mongodb services
- This is useful for deploying on Google, Azure, etc., as a single, leaner container.
- Instructions for running the container are added to the README.md file.
- The container requires a MongoDB Atlas connection string for the `MONGO_URI` environment variable.
- Remote Meilisearch may also be possible, but is not tested.
* 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
