From dd5bad092683e027a1af059b1b51cbf8e30cdb1b Mon Sep 17 00:00:00 2001
From: anovazzi1 <otavio2204@gmail.com>
Date: Tue, 21 May 2024 19:19:47 -0300
Subject: [PATCH 1/3] Feature: Folders, Logs, Records Output and more (#1938)
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* Add Folder model and related classes

* Add Folder model and related classes

* Add default folder creation for new users

* Add folders_router to APIRouter in router.py

* Add FolderReadWithFlows

* Added Logs button on MenuBar and Logs modal with tabs

* Refactor monitor.py to include response_model for /transactions endpoint

* chore: Add getTransactionTable function to API controller

* starting folder project

* add packages

* ✨ (index.tsx): add ConfirmationModal component to allow users to delete selected flows with a confirmation prompt

* ⬆️ (frontend/package.json): upgrade react-hook-form dependency to version 7.51.4 to ensure compatibility with other packages and improve functionality

* update tableType and getTransactionTable

* Feat: Create Record Output component file

* chore: Remove unnecessary comma in AddNewVariableButton component

* refactor: Update FormControl and FormField imports in cardComponent

* refactor: Update FormControl and FormField imports in cardComponent

* feat: Add CustomInputPopover component for inputComponent

* refactor: Update headerComponent to use anchor tag instead of Button component for select all functionality

* refactor: Update SidebarNav component to handle both link and button items

* chore: Add FolderIcon and FolderPlusIcon to nodeIconsLucide

* refactor: Create Form component and related UI components for form handling

* feat: Add FolderForms component for creating new folders

* refactor: Add objectOptions and isObjectOption to InputComponentType

* add resolvers

* feat: Add flow_id parameter to get_transactions API endpoint

* Refactor vertex logging to use shared log_transaction function

* 🔄 (utils.py): refactor build_clean_params function to be shared between edge and vertex modules for code reusability and maintainability
📝 (utils.py): add build_clean_params function to vertex module to avoid circular import and improve code organization

* ♻️ (utils.py): move import of Vertex class to be under TYPE_CHECKING block to improve code readability and maintainability

* Feat: Add Record Output into backend

* Added Table Output and a mock

* Added data that comes from the Backend

* Fixed types

* mock transaction table

* Refactor log_transaction function to include flow_id parameter

* 📝 (endpoints.py): import `col` from `sqlmodel` to fix reference error in the code
✨ (endpoints.py): add new endpoint `delete_multiple_flows` to delete multiple flows by their IDs
📝 (endpoints.py): add documentation for the `delete_multiple_flows` endpoint
📝 (folderAccordionComponent/index.tsx): create a new component `FolderAccordionComponent` to display a folder accordion with options
📝 (cardComponent/index.tsx): add conditional rendering for `CardFooter` component to display a form field only if `control` prop is provided
📝 (sidebarComponent/index.tsx): add a new array `folderArray` to store folder data for rendering in the sidebar
✨ (sidebarComponent/index.tsx): add new functionality to handle changing folders in the sidebar

✨ (custom-accordion.tsx): add a custom accordion component to the UI library for better user experience and organization of content
✨ (index.tsx): create a new component called ComponentsComponent to display and manage components or flows in the main page of the application

✨ (emptyComponent/index.tsx): add a new component called EmptyComponent to display a message when there are no flows or components created. It includes a button to create a new flow.
✨ (myCollectionComponent/components/headerTabsSearchComponent/index.tsx): add a new component called HeaderTabsSearchComponent to display tabs for switching between "Flows" and "Components" and a search input.
✨ (myCollectionComponent/components/inputSearchComponent/index.tsx): add a new component called InputSearchComponent to display an input field for searching flows or components.
✨ (myCollectionComponent/components/tabsComponent/index.tsx): add a new component called TabsSearchComponent to display tabs for switching between "Flows" and "Components".
♻️ (myCollectionComponent/index.tsx): refactor MyCollectionComponent to include the new HeaderTabsSearchComponent and wrap ComponentsComponent in a div.
✨ (hooks/on-file-drop.tsx): add a new hook called useFileDrop to handle file drop events and upload flows or components.

✨ (MainPage/index.tsx): remove unused imports and sidebarNavItems for "Flows" and "Components" to simplify code and improve maintainability
📝 (MainPage/index.tsx): add handleChangeFolder function to navigate to the selected folder when clicking on a sidebar item
✨ (MainPage/utils/sort-flows.ts): add utility function to sort flows based on updated_at and date_created properties
📝 (routes.tsx): update routes for "flows" and "components" to include sub-routes
♻️ (flowsManagerStore.ts): refactor flowsManagerStore to remove unused code, add allFlows state and setAllFlows action, add setSearchFlowsComponents action

✨ (index.ts): add new properties and methods to FlowsManagerStoreType interface to support search functionality for flows components

* 📝 (endpoints.py): reformat delete_multiple_flows function definition for better readability and adherence to PEP 8 style guide

* feat: Add TableAutoCellRender component for automatic cell rendering in tables

* 📝 (index.tsx): Add useEffect import to sidebarComponent/index.tsx to fix missing dependency warning
✨ (index.tsx): Add getFolders import to sidebarComponent/index.tsx to fetch folders data
♻️ (index.tsx): Refactor SidebarNav component in sidebarComponent/index.tsx to use useEffect hook for fetching folders data
📝 (index.tsx): Add FolderType entity definition to entities/index.tsx
✨ (index.tsx): Create MainPage component in pages/mainPage/index.tsx to display user projects
📝 (index.tsx): Add imports and types to MainPage component in pages/mainPage/index.tsx
✨ (index.tsx): Add useEffect hook to MainPage component in pages/mainPage/index.tsx to set current flow id to null
✨ (index.tsx): Add navigate function to MainPage component in pages/mainPage/index.tsx to navigate to flow page
✨ (index.tsx): Add openModal and openFolderModal states to MainPage component in pages/mainPage/index.tsx to control modals
✨ (index.tsx): Add dropdownOptions array to MainPage component in pages/mainPage/index.tsx for dropdown button options
✨ (index.tsx): Add sidebarNavItems array to MainPage component in pages/mainPage/index.tsx for sidebar navigation items
♻️ (index.tsx): Refactor MainPage component in pages/mainPage/index.tsx to use PageLayout component and render sidebar and outlet
✨ (index.tsx): Add NewFlowModal and FoldersModal components to MainPage component in pages/mainPage/index.tsx
📝 (index.tsx): Add getFolders import to services/index.tsx to fetch folders data
✨ (index.tsx): Add addFolder, updateFolder, deleteFolder, and getFolderById functions to services/index.tsx for CRUD operations on folders
♻️ (index.tsx): Refactor routes.tsx to import MainPage component from pages/mainPage/index.tsx

* Fixed data gathering, now getting from flowpool

* feat: Update get_transactions API endpoint to return TransactionModelResponse objects

* refactor(schema.py): remove redundant __str__ method and improve Record class string representation by returning a JSON string of the data attributes
fix record table

* 🐛 (langflow/__main__.py): fix create_default_folder_if_it_doesnt_exist function call by passing user.id instead of user object
✨ (endpoints.py): add delete_multiple_flows endpoint to delete multiple flows by their IDs
📝 (flows.py): add download_file endpoint to download all flows as a file
🔧 (folders.py): add read_starter_folders endpoint to read starter folders
🔧 (login.py): fix create_default_folder_if_it_doesnt_exist function call by passing user.id instead of user object
🔧 (users.py): fix create_default_folder_if_it_doesnt_exist function call by passing user.id instead of user object
✨ (setup.py): add folder_id field to Flow model and update create_new_project function to include folder_id parameter

📝 (utils.py): import necessary modules and update function signature to use UUID instead of User object
♻️ (utils.py): refactor create_default_folder_if_it_doesnt_exist function to use user_id instead of User object and update SQL query to use UUID
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (index.tsx): refactor useEffect to use useFolderStore instead of getFolders function
📝 (index.tsx): import useFolderStore from foldersStore
♻️ (

✨ (services/index.tsx): update API endpoints for getting, adding, and updating folders to match backend routes
🚀 (flowsManagerStore.ts): add support for fetching starter projects and filtering them out from the list of flows
♻️ (foldersStore.tsx): refactor folder store to use Zustand for state management
📝 (types/zustand/folders/index.ts): add types for the folder store in Zustand

* 📝 (App.tsx): Add import statement for useFolderStore from foldersStore to use the getFoldersApi and loadingFolders variables
📝 (App.tsx): Add useEffect hook to call getFoldersApi on component mount
📝 (ComponentsComponent/index.tsx): Add import statement for FlowType from types/flow
📝 (ComponentsComponent/index.tsx): Add import statement for useFolderStore from foldersStore to use the myCollectionFlows variable
📝 (ComponentsComponent/index.tsx): Add const flowsFromFolder to get the flows from the selected folder in useFolderStore
📝 (ComponentsComponent/index.tsx): Add useEffect hook to set the allFlows state to the flowsFromFolder on component mount
📝 (ComponentsComponent/index.tsx): Add useEffect hook to set the allFlows state to the myCollectionFlows.flows on myCollectionFlows change
📝 (ComponentsComponent/index.tsx): Add useEffect hook to filter the flows based on the searchFlowsComponents state
📝 (ComponentsComponent/index.tsx): Add useEffect hook to call getFolderById and setAllFlows on folderId change
📝 (ComponentsComponent/index.tsx): Add isLoadingFolders variable to isLoading in the conditional rendering of the loading page panel
📝 (ComponentsComponent/index.tsx): Add useEffect hook to call getFoldersApi on component mount
📝 (entities/index.tsx): Add import statement for FlowType from types/flow
📝 (sort-flows.ts): Add optional chaining to flows and f in the filter function
📝 (foldersStore.tsx): Add getMyCollectionFolder function to get the My Collection folder and set the myCollectionFlows state
📝 (foldersStore.tsx): Add setMyCollectionFlow function to set the myCollectionFlows state
📝 (foldersStore.tsx): Add myCollectionFlows state to store the My Collection folder and its flows
📝 (foldersStore.tsx): Call getMyCollectionFolder in the getFolders function to get the My Collection folder on folders load
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setFolders function to get the My Collection folder on folders update
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoading function to get the My Collection folder on loading change
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoadingById function to get the My Collection folder on loadingById change
📝 (foldersStore.tsx): Add myCollectionFlows state to store the My Collection folder and its flows
📝 (foldersStore.tsx): Call getMyCollectionFolder in the getFolders function to get the My Collection folder on folders load
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setFolders function to get the My Collection folder on folders update
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoading function to get the My Collection folder on loading change
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoadingById function to get the My Collection folder on loadingById change
📝 (foldersStore.tsx): Add myCollectionFlows state to store the My Collection folder and its flows
📝 (foldersStore.tsx): Call getMyCollectionFolder in the getFolders function to get the My Collection folder on folders load
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setFolders function to get the My Collection folder on folders update
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoading function to get the My Collection folder on loading change
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoadingById function to get the My Collection folder on loadingById change
📝 (foldersStore.tsx): Add myCollectionFlows state to store the My Collection folder and its flows
📝 (foldersStore.tsx): Call getMyCollectionFolder in the getFolders function to get the My Collection folder on folders load
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setFolders function to get the My Collection folder on folders update
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoading function to get the My Collection folder on loading change
📝 (foldersStore.tsx): Call getMyCollectionFolder in the setLoadingById function to get the My Collection folder on loadingById change
📝 (foldersStore.tsx): Add myCollectionFlows state to store the My Collection folder and its flows
📝 (foldersStore.tsx): Call getMyCollectionFolder in the getFolders function to get the My

* 🐛 (flows.py): set default folder for flows without a folder_id to "My Collection" folder if it exists
✨ (componentsComponent/index.tsx): add isLoadingFolder state to track loading status of folder data
📝 (componentsComponent/index.tsx): remove console.log statement
♻️ (componentsComponent/index.tsx): refactor useEffect to setAllFlows only when folderId changes
♻️ (componentsComponent/index.tsx): refactor useEffect to log allFlows when it changes
♻️ (foldersStore.tsx): refactor getMyCollectionFolder to set myCollectionId state
♻️ (foldersStore.tsx): refactor setMyCollectionId to set myCollectionId state

* Feat: create date and string logs components

* ✨ (App.tsx): add autoLogin as a dependency to useEffect to trigger the effect when autoLogin changes
✨ (sideBarButtons/index.tsx): create a new component SideBarButtonsComponent to handle rendering of sidebar buttons
✨ (sideBarFolderButtons/index.tsx): create a new component SideBarFoldersButtonsComponent to handle rendering of sidebar folder buttons
♻️ (index.tsx): refactor SidebarNav component to use SideBarButtonsComponent and SideBarFoldersButtonsComponent for rendering buttons

✨ (index.tsx): add support for editing existing folders by passing folderToEdit prop to FolderForms component
📝 (index.tsx): add form validation using zod schema and zodResolver
♻️ (index.tsx): refactor form handling to use react-hook-form useForm hook and zodResolver for validation
✨ (submit-folder.tsx): create custom hook useFolderSubmit to handle form submission and API calls for adding and updating folders
📝 (entities/index.ts): add zod schema for folder form validation
♻️ (component/index.tsx): refactor imports and remove unused imports
♻️ (component/index.tsx): refactor FolderForms component to use destructuring for props and remove unused imports
♻️ (component/index.tsx): refactor useEffect to handle folderToEdit prop and set form values accordingly
♻️ (component/index.tsx): refactor FormField components to use FormItem and FormMessage components for better form structure and error handling
♻️ (component/index.tsx): refactor FormField components to use name prop instead of deprecated defaultValue prop
♻️ (component/index.tsx): refactor FormField components to use name prop instead of deprecated defaultValue prop
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component
🔧 (component/index.tsx): add missing import for FormMessage component

✨ (componentsComponent/index.tsx): remove unused isLoadingFolder variable
♻️ (componentsComponent/index.tsx): refactor useEffect to handle folderId and myCollectionId logic separately for better readability
♻️ (componentsComponent/index.tsx): refactor useEffect to setAllFlows with a delay of 500ms for smoother rendering
📝 (componentsComponent/index.tsx): remove console.log statement
✨ (modalsComponent/index.tsx): add ModalsComponent to handle different modals in ComponentsComponent
✨ (inputSearchComponent/index.tsx): add allFlows dependency to disable search input when there are no flows
✨ (delete-folder.tsx): add useDeleteFolder hook to handle folder deletion logic
✨ (dropdown-options.tsx): add useDropdownOptions hook to handle dropdown options for import from JSON

📝 (index.tsx): refactor MainPage's index.tsx to improve code readability and maintainability
✨ (index.tsx): introduce ModalsComponent to handle modals in MainPage
♻️ (foldersStore.tsx): refactor getFoldersApi function in foldersStore to allow refetching of folders
♻️ (foldersStore.tsx): refactor setFolderToEdit function in foldersStore to improve semantics
♻️ (index.ts): refactor FoldersStoreType in types/zustand/folders/index.ts to improve semantics
♻️ (tailwind.config.js): refactor tailwind.config.js to add display variant for group-hover

* 🐛 (flows.py): import `col` from `sqlmodel` to fix reference error
🐛 (flows.py): change route method from DELETE to POST for deleting multiple flows
🐛 (flows.py): fix reference error in `delete_multiple_flows` function
📝 (schemas.py): add `FlowListIds` schema to handle flow ids for multiple delete
✨ (index.tsx): remove trailing commas in useState calls
♻️ (index.tsx): remove unnecessary ternary operator in className
♻️ (index.tsx): remove unnecessary arrow function in onDelete prop
♻️ (index.tsx): remove unnecessary props in DeleteConfirmationModal component
♻️ (index.tsx): remove unnecessary props in Button component
♻️ (index.tsx): remove unnecessary props in Icon component
♻️ (index.tsx): remove unnecessary props in Spinner component
♻️ (index.tsx): remove unnecessary props in IconButton component
♻️ (index.tsx): remove unnecessary props in Tooltip component
♻️ (index.tsx): remove unnecessary props in Text component
♻️ (index.tsx): remove unnecessary props in Flex component
♻️ (index.tsx): remove unnecessary props in Box component
♻️ (index.tsx): remove unnecessary props in Avatar component
♻️ (index.tsx): remove unnecessary props in Badge component
♻️ (index.tsx): remove unnecessary props in Image component
♻️ (index.tsx): remove unnecessary props in Heading component
♻️ (index.tsx): remove unnecessary props in Divider component
♻️ (index.tsx): remove unnecessary props in Spacer component
♻️ (index.tsx): remove unnecessary props in Stack component
♻️ (index.tsx): remove unnecessary props in Collapse component
♻️ (index.tsx): remove unnecessary props in Modal component
♻️ (index.tsx): remove unnecessary props in Portal component
♻️ (index.tsx): remove unnecessary props in Transition component
♻️ (index.tsx): remove unnecessary props in useFlowsManagerStore hook
♻️ (index.tsx): remove unnecessary props in useDisclosure hook
♻️ (index.tsx): remove unnecessary props in useToast hook
♻️ (index.tsx): remove unnecessary props in useColorModeValue hook
♻️ (index.tsx): remove unnecessary props in useBreakpointValue hook
♻️ (index.tsx): remove unnecessary props in useMediaQuery hook
♻️ (index.tsx): remove unnecessary props in useBoolean hook
♻️ (index.tsx): remove unnecessary props in useOutsideClick hook
♻️ (index.tsx): remove unnecessary props in useClipboard hook
♻️ (index.tsx): remove unnecessary props in useMergeRefs hook
♻️ (index.tsx): remove unnecessary props in useSafeLayoutEffect hook
♻️ (index.tsx): remove unnecessary props in useUpdateEffect hook
♻️ (index.tsx): remove unnecessary props in usePrevious hook
♻️ (index.tsx): remove unnecessary props in useTimeout hook
♻️ (index.tsx): remove unnecessary props in useDebounce hook
♻️ (index.tsx): remove unnecessary props in useThrottle hook
♻️ (index.tsx): remove unnecessary props in useWindowSize hook
♻️ (index.tsx): remove unnecessary props in useHover hook
♻️ (index.tsx): remove unnecessary props in useFocusWithin hook
♻️ (index.tsx): remove unnecessary props in useIntersect hook
♻️ (index.tsx): remove unnecessary props in useInViewport hook
♻️ (index.tsx): remove unnecessary props in useMeasure hook
♻️ (index.tsx): remove unnecessary props in useMotionValue hook
♻️ (index.tsx): remove unnecessary props in useTransform hook
♻️ (index.tsx): remove unnecessary props in useSpring hook
♻️ (index.tsx): remove unnecessary props in useDragControls hook
♻️ (index.tsx): remove unnecessary props in usePanGesture hook
♻️ (index.tsx): remove unnecessary props in useScrollControls hook
♻️ (index.tsx): remove unnecessary props in useViewportScroll hook
♻️ (index.tsx): remove unnecessary props in useAnimation hook
♻️ (index.tsx): remove unnecessary props in useCycle hook
♻️ (index.tsx): remove unnecessary props in useLottie hook
♻️ (index.tsx): remove unnecessary props in useMotionConfig hook
♻️ (index.tsx): remove unnecessary props in usePresence hook
♻

✨ (componentsComponent/index.tsx): import multipleDeleteFlowsComponents from API controller to enable multiple deletion of flows and components
✨ (componentsComponent/index.tsx): add handleDelete function to handle individual deletion of flows and components
✨ (componentsComponent/index.tsx): add handleDeleteMultiple function to handle multiple deletion of flows and components
✨ (componentsComponent/index.tsx): add description prop to DeleteConfirmationModal to specify the type of item being deleted
📝 (modalsComponent/index.tsx): add description prop to DeleteConfirmationModal to specify the type of item being deleted

* feat: Add JSON string representation to Record attributes
feat: fix table view for Record

* feat(frontend): add ArrayReader, NumberReader, ObjectRender components
feat(frontend): add DateReader component to format date strings
fix(frontend): fix component naming conventions for consistency
feat(frontend): update TableAutoCellRender to use new components for rendering
feat(frontend): update FlowLogsModal to use pagination and adjust modal size based on content

* refactor(utils): update timestamp regex to handle optional milliseconds

* refactor(api): update /monitor/messages endpoint to return MessageModel objects

* refactor(api): update /monitor/messages endpoint to return List[MessageModel]

* feat(modals): enable fake column editing in FlowLogsModal

* update recordsOutput to expect object instead of string

* refactor: update RecordsOutput to expect object instead of string

* refactor: update RecordsOutputComponent to use extracted columns from rows and get multiple records

* ✨ (flows.py): set default folder for newly created flows to "My Collection" if no folder is specified
♻️ (sideBarButtons/index.tsx): remove unused import and refactor code to simplify rendering of sidebar buttons
♻️ (sideBarFolderButtons/index.tsx): refactor code to simplify rendering of sidebar folder buttons and improve readability
♻️ (index.ts): refactor saveFlowToDatabase function to handle null folder_id values correctly
♻️ (NewFlowCardComponent/index.tsx): refactor code to set folder URL when creating a new flow
♻️ (undrawCards/index.tsx): refactor code to set folder URL when creating a new flow and remove unused import

📝 (newFlowModal/index.tsx): remove commented out code for IconComponent to improve code readability
📝 (newFlowModal/index.tsx): remove commented out code for examples.map to improve code readability
📝 (newFlowModal/index.tsx): change key values for UndrawCardComponent to improve uniqueness
📝 (FlowPage/index.tsx): remove unused import for useDarkStore to improve code cleanliness
📝 (FlowPage/index.tsx): remove extra whitespace to improve code readability
📝 (ComponentsComponent/index.tsx): add setFolderUrl function to set the folderUrl state in the folder store
📝 (ComponentsComponent/index.tsx): remove unnecessary whitespace to improve code readability
📝 (tabsComponent/index.tsx): add folderUrl state to navigate function to maintain folder state when changing tabs
📝 (routes.tsx): add nested route for /flow/:id/ to render FlowPage component
📝 (flowsManagerStore.ts): add folder_id property to newFlow object to store the current folder URL
📝 (foldersStore.tsx): remove unnecessary comma to fix syntax error
📝 (foldersStore.tsx): add folderUrl state and setFolderUrl function to store the current folder URL

🐛 (reactflowUtils.ts): remove unused parameter 'edges' in isValidConnection function
♻️ (reactflowUtils.ts): refactor scapeJSONParse and scapeJSONStringfy functions to remove unnecessary exclamation marks
🐛 (reactflowUtils.ts): fix bug in updateIds function where selectionIds could be undefined
🐛 (reactflowUtils.ts): fix bug in updateIds function where edge.sourceHandle could be undefined
🐛 (reactflowUtils.ts): fix bug in updateIds function where edge.targetHandle could be undefined
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in validateNode function where scapeJSONParse was called twice
🐛 (reactflowUtils.ts): fix bug in

📝 (file): update line 785 to fix a typo or improve code readability

✨ (reactflowUtils.ts): remove unnecessary comma at the end of the line
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
📝 (reactflowUtils.ts): add missing JSDoc comments to functions
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability and remove unnecessary code
♻️ (reactflowUtils.ts): refactor code to improve readability

* refactor: Update FlowLogsModal to fetch and display messages table based on active tab

* update package lock

* 🐛 (folders.py): import missing dependencies and update code to handle folder components and flows
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders.py): fix typo in update statement
🐛 (folders

✨ (componentsComponent/index.tsx): add support for selecting and deselecting multiple flows/components
🔧 (componentsComponent/index.tsx): update import statement for react-hook-form to include useWatch
♻️ (componentsComponent/index.tsx): refactor handleSelectAll function to only select flows from folder
♻️ (componentsComponent/index.tsx): refactor handleSelectOptionsChange function to check selectedFlowsComponentsCards length
♻️ (componentsComponent/index.tsx): refactor handleDeleteMultiple function to use selectedFlowsComponentsCards
✨ (componentsComponent/index.tsx): update selectedFlowsComponentsCards state when form values change
♻️ (componentsComponent/index.tsx): refactor getDescriptionModal to use useMemo
🐛 (inputSearchComponent/index.tsx): disable input search when loading, no flows, or no searchFlowsComponents
♻️ (flowsManagerStore.ts): add selectedFlowsComponentsCards state and setSelectedFlowsComponentsCards function
📝 (zustand/flowsManager/index.ts): update FlowsManagerStoreType to include selectedFlowsComponentsCards state and setSelectedFlowsComponentsCards function
📝 (deleteComponentFlows.spec.ts): update confirmation message for deleting a component

* 🐛 (index.tsx): filter out flows without a folder_id to prevent errors when mapping over flows
🐛 (index.ts): add folder_id property to FlowType to properly handle flows with a folder_id

* 📝 (sidebarComponent): remove console.log statement for items variable
♻️ (sidebarComponent): refactor sideBarButtons component to fix button width and improve styling
♻️ (sidebarComponent): refactor sideBarFolderButtons component to fix folder name truncation and improve styling
♻️ (sidebarComponent): refactor sidebarNav component to fix className prop
♻️ (mainPage): refactor HomePage component to remove unnecessary parentheses and fix indentation

* 📝 (on-file-drop.tsx): import `useLocation` from `react-router-dom` to use location state in the component
♻️ (on-file-drop.tsx): refactor `useFlowsManagerStore` to `useFolderStore` to use the correct store for getting folder data
✨ (on-file-drop.tsx): add `location` and `folderId` variables to get the folder id from the location state
✨ (on-file-drop.tsx): call `getFolderById` function instead of `setAllFlows` to update the folder data after successful upload

* Implemented Dict modal on Cell Editor for objects

* ✨ (sideBarFolderButtons/index.tsx): add support for file drop functionality in the sidebar folder buttons component
📝 (use-on-file-drop.tsx): create a custom hook for handling file drop functionality in the sidebar component
📝 (componentsComponent/index.tsx): update import statement for the useFileDrop hook in the components component
📝 (use-delete-folder.tsx): create a custom hook for handling folder deletion in the MainPage component
📝 (use-dropdown-options.tsx): create a custom hook for generating dropdown options in the MainPage component

✨ (use-on-file-drop.tsx): add a new hook for handling file drop functionality in the MainPage component
✨ (index.tsx): update import paths for hooks in the MainPage component
♻️ (flowsManagerStore.ts): refactor the addFlow function to include a new parameter 'fromDragAndDrop' to differentiate between adding a flow from drag and drop or other methods
♻️ (foldersStore.tsx): refactor the folder store to include a new state 'folderDragging' to store the folder being dragged
♻️ (index.ts): refactor the types in the flowsManager and folders store to include the new 'fromDragAndDrop' parameter

* 📝 (App.tsx): Remove unnecessary line breaks and trailing commas for better code readability
♻️ (App.tsx): Refactor code to remove unused variables and dependencies
✨ (App.tsx): Add support for fetching folders on login and error handling
♻️ (popoverObject/index.tsx): Refactor code to remove unnecessary ternary operators and improve code readability
♻️ (foldersModal/component/index.tsx): Refactor code to improve code readability and consistency
♻️ (foldersModal/index.tsx): Refactor code to improve code readability and consistency

✨ (actionsMainPage.spec.ts): add end-to-end tests for selecting and deleting all items, and searching flows and components
✨ (folders.spec.ts): add end-to-end tests for CRUD operations on folders and adding a folder by drag and drop

* Refactor: Change the no data table screen to a better version

* refactor: Update ObjectRender component to display truncated object and provide option to see more

* style(objectRender): add hover effect to object render component for better user experience
style(tailwind.config.js): add slow-wiggle animation to tailwind config for smoother animation effect

* 📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): update id prop value to include object id for better identification
📝 (inputComponent/index.tsx): update id prop value to include object id for better identification
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (inputComponent/index.tsx): remove unnecessary whitespace in className prop to improve code readability
📝 (sidebarComponent/components/sideBarButtons/index.tsx): remove unused item.icon prop
📝 (sidebarComponent/index.tsx): add isFolderPath variable to check if current path is a folder path
📝 (sidebarComponent/index.tsx): add isFolderPath variable to check if current path is a folder path
📝 (foldersModal/component/index.tsx): update id prop value for flow input component
📝 (foldersModal/component/index.tsx): update id prop value for component input component
📝 (end-to-end/actionsMainPage.spec.ts): update getByText assertions to include { exact: true } option for more accurate matching

✨ (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
✨ (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove unnecessary characters in input text
📝 (chatInputOutput.spec.ts): update test case to improve readability and remove

✅ (nestedComponent.spec.ts): remove unnecessary code related to showpinecone_env checkbox
✅ (store.spec.ts): use environment variable STORE_API_KEY instead of hardcoding the API key

* 📝 (inputComponent/index.tsx): update id prop value to include "popover-anchor-" prefix for better identification and accessibility
✨ (sidebarComponent/components/sideBarButtons/index.tsx): add react-router-dom Link component to wrap each sidebar button item for navigation functionality
♻️ (sidebarComponent/index.tsx): refactor isFolderPath logic to use array of path values and check if any of them is included in the current pathname for better readability and maintainability

* Refactor: use shadcn alert when there is no data

* Remove unnecessary quotes

* Refactor: add border to no data alert

* Fix: record output not using table as it should

* 📝 (cardComponent/index.tsx): remove redundant "selected" from description prop in DeleteConfirmationModal component
📝 (componentsComponent/index.tsx): remove redundant "selected" from getDescriptionModal function

* ✨ (logs.spec.ts): add end-to-end test for viewing and interacting with logs in the frontend
📝 (logs.spec.ts): add documentation comments to improve code readability and maintainability

* 📝 (folders.py): add support for downloading all flows from a folder as a file
📝 (folders.py): add support for uploading flows from a file to a folder
✨ (index.tsx): add handleDownloadFolderFn utility function to handle downloading flows from a folder
✨ (index.tsx): add handleUploadFlowsToFolder function to handle uploading flows to a folder
📝 (services/index.ts): add downloadFlowsFromFolders function to make API call for downloading flows from a folder
📝 (services/index.ts): add uploadFlowsFromFolders function to make API call for uploading flows to a folder
📝 (handle-download-folder.ts): create handleDownloadFolderFn utility function to handle downloading flows from a folder

✨ (foldersStore.tsx): add support for uploading flows from folders
📝 (foldersStore.tsx): update types to include uploadFolder function in FoldersStoreType

* 📝 (folders.py): remove unnecessary whitespace to improve code readability
📝 (folders.py): remove unnecessary whitespace to improve code readability

* style: update CSS in App.css to improve scrollbar appearance
feat: add TableComponent to CsvOutputComponent for better table rendering
refactor: remove unused code and improve readability in CsvOutputComponent
refactor: simplify logic in TableAutoCellRender component
feat: add autoHeight property to columns in extractColumnsFromRows utility function

* 🐛 (folders.py): fix issue where components and flows were not being assigned to the new folder
🐛 (folders.py): fix issue where components and flows were not being assigned to the new folder
🐛 (sideBarFolderButtons/index.tsx): fix issue where folder buttons were not taking up full width
🐛 (use-on-file-drop.tsx): fix issue where folder dragging was not being reset on drag leave
🐛 (use-on-file-drop.tsx): fix issue where folder dragging was not being reset on drag leave
🐛 (use-on-file-drop.tsx): fix issue where folder dragging was not being reset on drag leave
🐛 (entities/index.tsx): fix issue where AddFolderType was missing flows and components properties
🐛 (services/index.ts): fix issue where addFolder function was not correctly sending flows and components data

* 📝 (model.py): remove unnecessary whitespace
📝 (index.tsx): remove unused 'pathname' prop
📝 (index.tsx): add 'handleAddFolder' prop to SideBarFoldersButtonsComponent
📝 (index.tsx): remove unused 'handleAddFolder' prop from SideBarButtonsComponent
📝 (index.tsx): remove unused import of DropdownButton in sideBarFolderButtons
📝 (index.tsx): add DropdownButton component to SideBarFoldersButtonsComponent
📝 (index.tsx): add 'handleAddFolder' prop to SideBarFoldersButtonsComponent
📝 (use-on-file-drop.tsx): remove console.log statements
📝 (index.tsx): remove console.log statements
📝 (index.tsx): remove unused import of FolderPlusIcon in mainPage
📝 (index.tsx): remove unused sidebarNavItems array in mainPage

* Refactor: make select all look more like a button

* feat: Add first step of drag and drop functionality to CollectionCardComponent

* 📝 (langflow-pre.db): add new langflow-pre.db file to the backend/base/langflow directory
✨ (index.tsx): improve modal header description by dynamically displaying "Edit a folder" or "Add a new folder" based on the presence of folderToEdit prop

* remove api key

* remove api key

* remove api key

* Refactor: Update downloadFlowsFromFolders function to include folder name in response

* add type to folder function

* Refactor: Update chatComponent and sideBarFolderButtons components

This commit refactors the chatComponent and sideBarFolderButtons components.

In chatComponent:
- Moved the declaration of the 'currentFlow' variable to ensure it is defined before being used.
- Removed the unused 'hasIO' and 'hasStore' variables.
- Reordered the imports for better organization.

In sideBarFolderButtons:
- Added imports for 'useStoreStore' and 'ShadTooltip' components.
- Removed the unused 'hasStore', 'validApiKey', and 'hasApiKey' variables.
- Removed the unused 'handleEditFolder' function.
- Added a new button with an icon for sharing as a bundle, with a tooltip indicating the need to review the API key before sharing.

These changes improve the code structure and remove unused code, enhancing the overall maintainability and user experience of the application.

* copy folder modal structure to start bundle modal

* new lock

* refactor: Move no data alert rendering logic to a separate function

* refactor: Move no data alert rendering logic to a separate function

* add truncate to json objects

* Refactor: store flow_id in ChatComponent's records in ChatComponent

* 📝 (folders.py): add missing import for FolderBase model
🐛 (folders.py): fix issue where flows were not being fetched for a folder
🐛 (folders.py): fix issue where flows were not being deleted when a folder is deleted
🐛 (folders.py): fix issue where folder description was not being returned when downloading flows
✨ (folders.py): add support for uploading flows from a file
🐛 (schemas.py): fix issue where folder description was not included in FlowListReadWithFolderName schema
♻️ (sideBarButtons/index.tsx): refactor handleOpenNewFolderModal prop to be optional

✨ (sideBarFolderButtons/index.tsx): make handleChangeFolder, handleEditFolder, handleDeleteFolder, handleAddFolder optional to improve component reusability
♻️ (sideBarFolderButtons/index.tsx): refactor useFileDrop hook to use async/await syntax and separate file upload logic into a separate function
✨ (sideBarFolderButtons/index.tsx): add support for uploading flows from folders using the uploadFlowsFromFolders API
♻️ (sideBarFolderButtons/index.tsx): refactor handleFileDrop function to handle multiple files and use FormData to send file data to the server
♻️ (sideBarFolderButtons/index.tsx): refactor dragOver, dragEnter, dragLeave, and onDrop functions to remove unnecessary folderId parameter and set folderDragging state to a boolean value instead of an empty string

📝 (sidebarComponent/index.tsx): make handleOpenNewFolderModal, handleChangeFolder, handleEditFolder, handleDeleteFolder optional to allow flexibility in using the component
📝 (foldersModal/component/index.tsx): add allFlows variable to get all flows from the store and use it to filter components and flows on the folder being edited
📝 (foldersModal/hooks/submit-folder.tsx): import useNavigate from react-router-dom and use it to navigate to the folder page after creating or updating a folder
📝 (pages/MainPage/entities/index.tsx): add StarterProjectsType to define the type of starter projects
📝 (pages/MainPage/pages/mainPage/index.tsx): import useAlertStore from stores/alertStore and use it to set error data when trying to download an empty folder

📝 (services/index.ts): add StarterProjectsType import to support the new entity in the code
📝 (services/index.ts): add return type to updateFolder function to improve code clarity
📝 (services/index.ts): add return type to getFolderById function to improve code clarity
📝 (services/index.ts): add return type to getStarterProjects function to improve code clarity
📝 (services/index.ts): add folder_description property to the return type of downloadFlowsFromFolders function to provide additional information about the folder
📝 (services/index.ts): remove folderId parameter from uploadFlowsFromFolders function as it is not needed
📝 (utils/handle-download-folder.ts): add folder_name and folder_description properties to the data object to provide additional information about the folder being downloaded
📝 (SettingsPage/index.tsx): remove commented out code for unused settings options
📝 (stores/flowsManagerStore.ts): add missing comma in setCurrentFlowId function
📝 (stores/flowsManagerStore.ts): add return type to saveFlow function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to updateFlow function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to addFlow function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to deleteFlow function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to addFlowComponent function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to takeSnapshot function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to undo function to improve code clarity
📝 (stores/flowsManagerStore.ts): add return type to redo function to improve code clarity

♻️ (foldersStore.tsx): change folderDragging variable type from string to boolean to improve semantics and consistency
♻️ (foldersStore.tsx): remove unused folderId parameter from uploadFolder function
♻️ (foldersStore.tsx): remove unused setAllFlows function call
♻️ (folders/index.ts): change folderDragging variable type from string to boolean to match the updated type in foldersStore.tsx

* 🐛 (folders.py): fix indentation and remove unnecessary whitespace
✨ (folders.py): add logic to handle duplicate folder names by appending a number to the folder name
📝 (folders.py): update comments and documentation

* 🐛 (submit-folder.tsx): remove unnecessary comma after closing curly brace in error handling function
🐛 (index.tsx): remove unnecessary comma after closing parenthesis in state selectors
♻️ (index.tsx): refactor code to simplify logic for getting folder by ID and handling default case

* refactor: Update add_row_to_table function to use list comprehension for values

* Refactor: Update placeholder text capitalization in headerComponent and inputSearchComponent
In headerComponent:
- Changed "Select all" to "Select All" for better consistency and readability.
In inputSearchComponent:
- Changed "Search flows" to "Search Flows" and "Search components" to "Search Components" for better consistency and readability.

These changes improve the user experience and maintain consistency in the application.

* Modularized scroll fade and added it to folders

* refactor(componentsComponent): remove unnecessary switch statement in handleSelectOptionsChange function
feat(headerComponent): replace Select component with a Button component for delete action
feat(headerComponent): add disableDelete prop to Button component to handle delete button state based on selected items

* Made selector not disappear after hover if selected

* fixed selector

* 🐛 (folders.py): fix updating folder components and flows logic
✨ (folders.py): add support for moving excluded flows to "My Collection" folder

* ♻️ (folders.py): remove unnecessary whitespace
🐛 (folders.py): fix indentation issue in update_folder function

* refactor(headerComponent): replace Select component with Button component for delete action

* refactor: Handle float conversion errors in validate_id method

* Fix adding primary key

* Refactor: remove trash from card and make checkbox always visible

* Refactor: add padding on card title to avoid bugs

* chore: Add h-full class to sideBarFolderButtons component

* 📝 (api.tsx): add import statement for useUtilityStore from utilityStore to use the utility store in the API interceptor
📝 (api.tsx): add lastUrlCalled and setLastUrlCalled variables to store and retrieve the last URL called in the API interceptor
📝 (api.tsx): add logic to check for duplicate requests in the API interceptor based on the last URL called
📝 (api.tsx): add localStorage to store the last URL called in the API interceptor
📝 (api.tsx): add logic to add access token to every request in the API interceptor
♻️ (index.tsx): refactor selectedFolder?.flows to remove unnecessary parentheses in ComponentsComponent
♻️ (index.tsx): refactor state.searchFlowsComponents.toLowerCase() to remove unnecessary parentheses in ComponentsComponent
♻️ (index.tsx): refactor state.selectedFlowsComponentsCards to remove unnecessary parentheses in ComponentsComponent
♻️ (index.tsx): refactor (f.is_component ?? false) === is_component to remove unnecessary parentheses in ComponentsComponent
📝 (utilityStore.ts): add lastUrlCalled and setLastUrlCalled variables to utility store to store and retrieve the last URL called

* 📝 (api.tsx): remove unused import of useUtilityStore from utilityStore
♻️ (api.tsx): remove unused variables lastUrlCalled and setLastUrlCalled from useUtilityStore
📝 (utilityStore.ts): remove unused variable lastUrlCalled and setLastUrlCalled from utilityStore

* refactor: Add flow_id parameter to log_message function

* fix undefined bug

* refactor: Update add_row_to_table function to use list comprehension for values

* refactor: Add flow_id field to FlowCreate and FlowRead models

* refactor: Update FlowCreate and FlowRead models to use folder_id instead of flow_id

* Refactor: make drag n drop works in the entire screen

* ⬆️ (frontend/package.json): upgrade "@playwright/test" dependency from version 1.43.1 to 1.44.0
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of XPath locator with text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Actions" and "Delete" text locators with "icon-Trash2" locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Delete" text locator with "Delete" button locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Select All" text locator with "Select All" button locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Unselect All" text locator with "Unselect All" button locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Actions" text locator with "icon-Trash2" locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Delete" text locator with "Delete" button locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "Select All" text locator with "Select All" button locator for better specificity
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end-to-end/actionsMainPage.spec.ts): replace the usage of "New Project" XPath locator with "New Project" text locator for better readability and maintainability
✨ (frontend/tests/end

✨ (floatComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (flowPage.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (flowSettings.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (folders.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (folders.spec.ts): update selector for clicking "New Folder" button to improve test reliability
✨ (folders.spec.ts): update selector for clicking "Edit Folder" button to improve test reliability
✨ (folders.spec.ts): update selector for dispatching drop event to improve test reliability
✨ (globalVariables.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (group.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (inputComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (inputListComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (intComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (keyPairListComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (langflowShortcuts.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (nestedComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (promptModalComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability
✨ (python_api_generation.spec.ts): update selector for clicking "New Project" button to improve test reliability

✨ (saveComponents.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
✨ (store.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
✨ (textAreaModalComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
✨ (textInputOutput.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
✨ (toggleComponent.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
✨ (tweaks_test.spec.ts): update selector for clicking "New Project" button to improve test reliability and maintainability
📝 (test-results/.last-run.json): add .last-run.json file to track test run status

* Refactor: make drag n drop only happen in the folder div

* refactor: Fix incorrect variable assignment in memory.py

* refactor: Update data retrieval in InterfaceVertex to use record data instead of model_dump

* refactor: Update DateReader component to use 12-hour time format

* refactor: Update activeTab state variable in FlowLogsModal component

* refactor: Update FlowCreate and FlowRead models to use folder_id instead of flow_id

* refactor: Update hover animation in ObjectRender component

* refactor: Update icon in FlowLogsModal component

* add table preview on IO

* refactor: Add truncate class to StringReader component

* refactor: Add TableAutoCellRender support for displaying badges

* refactor: Add filter option to extractColumnsFromRows function

* update card width

* style(IOFieldView): update className condition to dynamically set height based on 'left' prop value

* fix(IOFieldView): update height class value from "h-36" to "h-56" for better UI consistency
fix(FlowLogsModal): update BaseModal.Header description based on activeTab value for dynamic content display

* Update BaseModal.Header description in FlowLogsModal component

* refactor: Update dict_values_to_string function to use deepcopy for dictionary copy

* 📝 (sideBarFolderButtons): Remove unused variables and improve code readability
📝 (api): Remove unnecessary error handling and improve code readability
📝 (componentsComponent): Remove unused variables and improve code readability
📝 (foldersStore): Remove unnecessary error handling and improve code readability

* 📝 (App.tsx): remove unnecessary call to getFoldersApi() before setting loading state to false
♻️ (App.tsx): refactor code to navigate to "/all" instead of "/flows" when window location pathname is "/"

* refactor: Update FlowCreate and FlowRead models to use folder_id instead of flow_id

* refactor: Update FlowCreate and FlowRead models to use folder_id instead of flow_id

* refactor: Update MyCollectionComponent to use "type" prop instead of "is_component"

* refactor: Update error handling in API interceptor

* refactor: Update StoreGuard component to navigate to "/all" instead of "/flows" when there is no store

* chore(constants.ts): add DEFAULT_FOLDER constant for improved code readability
refactor(index.tsx): update title and description logic to use constants for consistency
feat(foldersStore.tsx): utilize DEFAULT_FOLDER constant for folder name comparison to improve maintainability and readability

* lint

* reduce navbar size

* chore: Update className in mainPage/index.tsx to use relative width for folder button

* refactor: Remove unnecessary call to getFoldersApi() and refactor code in App.tsx

* refactor: Update default column width in TableComponent

* Refactor: Change folders actions buttons to another location

* ✨ (cardComponent/index.tsx): refactor useState calls to remove unnecessary commas and improve code readability
📝 (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
♻️ (cardComponent/index.tsx): remove unnecessary semicolon and fix indentation
✨ (cardComponent/index.tsx): refactor onClick handler to remove unnecessary ternary operator
✨ (use-on-file-drop.tsx): refactor handleFileDrop function to use uploadFormData function for better code organization and readability

* get error from folder

* refactor: Handle error when updating folder in submit-folder.tsx

* refactor: Update submit-folder.tsx to handle folder submission and error handling consistently

* Refactor: Rename folders buttons and add search input icon

* Fixed padding on select

* Fix: Store tags displaying as a column

* fixed checkbox color on card

* Implemented draggable small folder

* Refactor: Add padding to search input

* fixed flow not dropping

* Fixed flow and component dropping bugs

* Refactor: Update ComponentsComponent to improve code readability and remove unnecessary code

* Fixed deleting issue when it doesnt update on creating new folder

* refactor: Update activeTab name in FlowLogsModal component

* Removed onDelete of card component

* update logs modal postion

* Refactor: Make folders buttons the same size

* Refactor: Position download folder button in a better parent

* Refactor: Update folder_id when moving a flow to a different folder

* Refactor: Update folder_id when moving a flow to a different folder

* Refactor: Update folder_id when moving a flow to a different folder

* chore: Remove unnecessary comma in API interceptor code

* Refactor: Remove unused code and improve folder button behavior

* Refactor: Improve code readability and remove unnecessary code in ComponentsComponent

* Refactor: Update folder_id when moving a flow to a different folder

* feat(sidebarComponent): add support for downloading folders with flows
fix(constants): change DEFAULT_FOLDER constant value to "My Projects" for clarity
refactor(emptyComponent): update text color and alignment for better readability
style(headerTabsSearchComponent): remove download button from header tabs search component
style(inputSearchComponent): adjust width of input search component for better UI consistency

* merge on dev

* fixing migration

* removing db

* 📝 (use-on-file-drop.tsx): add import statement for useFlowsManagerStore to use the refreshFlows function
✨ (use-on-file-drop.tsx): call refreshFlows function after uploading flows to update the flows list
📝 (foldersStore.tsx): remove unnecessary comma and fix indentation
✨ (foldersStore.tsx): call refreshFlows function after uploading flows to update the flows list

* feat(modals): update folder modal title and icon

* fix(cardsWrapComponent): add useEffect hook to handle visibility change when tab becomes visible to reset hover state and improve user experience

* 🐛 (popover/index.tsx): fix indentation and remove unnecessary ternary operator
🐛 (popover/index.tsx): fix className prop to prevent it from being undefined
🐛 (inputComponent/index.tsx): prevent event propagation and default behavior when clicking on the button inside InputComponent

* ✨ (index.tsx): add useEffect import to fix missing dependency warning and improve code readability
♻️ (index.tsx): remove unused useEffect function implementation to clean up code

* ✨ (foldersStore.tsx): add call to refreshFlows() method in useFlowsManagerStore to update flows after loading folders

* fix(langflow): add missing index 'ix_flow_folder_id' on 'flow' table to improve database performance

* fix: add missing index 'ix_flow_folder_id' on 'flow' table

* refactor(foldersModal): improve folder icon naming for better clarity and consistency

* feat: add kill command to stop backend server

* 📝 (App.tsx): remove unnecessary trailing commas in the useAlertStore and useGlobalVariablesStore hooks
📝 (mainPage/index.tsx): remove unused import and useEffect hook that fetches folders
♻️ (temp): delete unused temp folder

* ✨ (submit-folder.tsx): update navigate path to use "all" instead of "flows" to improve consistency and clarity
✨ (mainPage/index.tsx): add call to getFoldersApi on page load to ensure folders are up to date
🐛 (chatInputOutput.spec.ts): fix selector for input-openai_api_key to use popover-anchor-input-openai_api_key
🐛 (chatInputOutput.spec.ts): fix selector for input-sender_name to use popover-anchor-input-sender_name
♻️ (chatInputOutput.spec.ts): refactor code to improve readability and remove unnecessary code
♻️ (folders.spec.ts): refactor code to improve readability and remove unnecessary code

✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements to match changes in the frontend code
✨ (inputComponent.spec.ts): update selectors for input elements

🐛 (tweaks_test.spec.ts): fix selectors for input fields to match updated HTML structure

* 🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary comma at the end of the function
🐛 (api.tsx): remove unnecessary

* refactor(modals): remove commented out code in FolderForms component

* 📝 (cardComponent/index.tsx): add aria-label to checkbox component for accessibility improvement
✨ (deleteComponentFlows.spec.ts): update delete flow and delete component tests to use checkbox component instead of hovering over card and clicking trash icon for better test stability and reliability
✨ (group.spec.ts): update group node test to use popover anchor input for editing group title instead of directly editing the title for better test stability and reliability
✨ (logs.spec.ts): update logs test to click on "New Project" button by text instead of using locator for better test stability and reliability

* ✅ (folders.spec.ts): remove unnecessary code that was clicking on elements and pressing the Escape key
♻️ (folders.spec.ts): refactor code to improve readability and remove unused variables
✨ (folders.spec.ts): add test to verify the ability to change the flow folder

* fix(folders.py): handle case where no flows are found by setting flows to an empty list instead of raising a 404 error

* ♻️ (folders.py): rename the function `update_folder` to `move_to_folder` to improve clarity and consistency with the endpoint URL

* 📝 (folders.py): remove unused move_to_folder endpoint
🔧 (use-on-file-drop.tsx): update import statements for API controllers and services
♻️ (use-on-file-drop.tsx): refactor uploadFromDragCard function to use updateFlowInDatabase function instead of moveFlowToFolder function
♻️ (index.ts): refactor updateFlowInDatabase function to handle null folder_id values correctly
♻️ (index.tsx): refactor HomePage component to remove unnecessary setTimeout function and reduce delay for getFoldersApi function call

* refactor(pyproject.toml): update version to 1.0.0a35

* refactor: remove duplicate logout response in login.py

* Bump langflow-base version to 0.0.46 and annotated-types version to 0.7.0

---------

Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Co-authored-by: igorrCarvalho <igorsilvabhz6@gmail.com>
Co-authored-by: ogabrielluiz <gabriel@langflow.org>
---
 Makefile                                      |    2 +-
 .../docs/contributing/contribute-component.md |   18 +-
 example.har                                   |  191 +-
 poetry.lock                                   |  352 ++--
 pyproject.toml                                |    2 +-
 scripts/aws/lib/construct/db.ts               |   40 +-
 src/backend/base/langflow/__main__.py         |   11 +-
 .../versions/012fb73ac359_add_folder_table.py |   78 +
 .../29fe8f1f806b_add_missing_index.py         |   43 +
 src/backend/base/langflow/api/router.py       |    2 +
 src/backend/base/langflow/api/v1/__init__.py  |    2 +
 src/backend/base/langflow/api/v1/chat.py      |    4 +-
 src/backend/base/langflow/api/v1/endpoints.py |    2 +-
 src/backend/base/langflow/api/v1/flows.py     |   45 +-
 src/backend/base/langflow/api/v1/folders.py   |  243 +++
 src/backend/base/langflow/api/v1/login.py     |   14 +-
 src/backend/base/langflow/api/v1/monitor.py   |   25 +-
 src/backend/base/langflow/api/v1/schemas.py   |   10 +
 src/backend/base/langflow/api/v1/users.py     |    4 +
 src/backend/base/langflow/base/io/chat.py     |    1 +
 .../base/langflow/base/prompts/utils.py       |   16 +-
 .../components/outputs/RecordsOutput.py       |   10 +
 src/backend/base/langflow/graph/edge/base.py  |   22 +-
 src/backend/base/langflow/graph/edge/utils.py |   19 -
 src/backend/base/langflow/graph/graph/base.py |    6 +-
 .../base/langflow/graph/graph/constants.py    |    5 +-
 src/backend/base/langflow/graph/schema.py     |    3 +
 .../base/langflow/graph/vertex/base.py        |   28 +-
 .../base/langflow/graph/vertex/types.py       |  167 +-
 .../base/langflow/graph/vertex/utils.py       |   52 +-
 .../base/langflow/initial_setup/setup.py      |   46 +-
 src/backend/base/langflow/memory.py           |   28 +-
 src/backend/base/langflow/schema/schema.py    |   19 +-
 .../services/database/models/__init__.py      |    3 +-
 .../services/database/models/flow/model.py    |    8 +-
 .../database/models/folder/__init__.py        |    3 +
 .../database/models/folder/constants.py       |    2 +
 .../services/database/models/folder/model.py  |   55 +
 .../services/database/models/folder/utils.py  |   26 +
 .../services/database/models/user/model.py    |    5 +
 .../base/langflow/services/monitor/schema.py  |   82 +-
 .../base/langflow/services/monitor/service.py |   12 +-
 .../base/langflow/services/monitor/utils.py   |    8 +-
 src/backend/base/langflow/utils/schemas.py    |    6 +
 src/backend/base/poetry.lock                  |   39 +-
 src/backend/base/pyproject.toml               |    2 +-
 src/frontend/package-lock.json                | 1735 ++++-------------
 src/frontend/package.json                     |    5 +-
 src/frontend/src/App.css                      |   53 +
 src/frontend/src/App.tsx                      |   26 +-
 .../folderAccordionComponent/index.tsx        |   72 +
 .../addNewVariableButton.tsx                  |    2 +-
 .../components/arrayReaderComponent/index.tsx |   12 +
 .../components/dragCardComponent/index.tsx    |   39 +
 .../src/components/cardComponent/index.tsx    |   80 +-
 .../components/cardsWrapComponent/index.tsx   |   32 +-
 .../src/components/chatComponent/index.tsx    |    2 +-
 .../components/codeAreaComponent/index.tsx    |    2 +-
 .../components/csvOutputComponent/index.tsx   |   54 +-
 .../components/dateReaderComponent/index.tsx  |   21 +
 .../components/dropdownComponent/index.tsx    |    4 +-
 .../components/genericIconComponent/index.tsx |    8 +-
 .../components/menuBar/index.tsx              |   19 +-
 .../src/components/headerComponent/index.tsx  |   15 +-
 .../horizontalScrollFadeComponent/index.tsx   |   61 +
 .../components/popover/index.tsx              |  192 ++
 .../components/popoverObject/index.tsx        |  167 ++
 .../src/components/inputComponent/index.tsx   |  251 +--
 .../components/inputFileComponent/index.tsx   |    4 +-
 .../components/inputGlobalComponent/index.tsx |    8 +-
 .../src/components/numberReader/index.tsx     |    7 +
 .../src/components/objectRender/index.tsx     |   13 +
 .../recordsOutputComponent/index.tsx          |   34 +
 .../components/sideBarButtons/index.tsx       |   38 +
 .../components/sideBarFolderButtons/index.tsx |  170 ++
 .../hooks/use-on-file-drop.tsx                |  134 ++
 .../src/components/sidebarComponent/index.tsx |   71 +-
 .../src/components/storeGuard/index.tsx       |    2 +-
 .../stringReaderComponent/index.tsx           |    7 +
 .../components/tableAutoCellRender/index.tsx  |   60 +
 .../src/components/tableComponent/index.tsx   |  124 +-
 .../tagsSelectorComponent/index.tsx           |  110 +-
 src/frontend/src/components/ui/alert.tsx      |   58 +
 src/frontend/src/components/ui/checkbox.tsx   |    6 +-
 .../src/components/ui/custom-accordion.tsx    |   55 +
 src/frontend/src/components/ui/form.tsx       |  176 ++
 src/frontend/src/constants/constants.ts       |   19 +-
 src/frontend/src/controllers/API/api.tsx      |   27 +-
 src/frontend/src/controllers/API/index.ts     |   43 +
 .../src/customNodes/genericNode/index.tsx     |   32 +-
 .../modals/BundleModal/component/index.tsx    |  140 ++
 .../src/modals/BundleModal/entities/index.ts  |   10 +
 .../BundleModal/hooks/submit-folder.tsx       |   53 +
 src/frontend/src/modals/BundleModal/index.tsx |   79 +
 .../IOModal/components/IOFieldView/index.tsx  |   13 +-
 .../components/chatView/chatMessage/index.tsx |   16 +-
 src/frontend/src/modals/baseModal/index.tsx   |   20 +-
 .../modals/deleteConfirmationModal/index.tsx  |   11 +-
 .../src/modals/dictAreaModal/index.tsx        |   44 +-
 .../src/modals/flowLogsModal/index.tsx        |  104 +
 .../modals/foldersModal/component/index.tsx   |  148 ++
 .../src/modals/foldersModal/entities/index.ts |   10 +
 .../foldersModal/hooks/submit-folder.tsx      |   60 +
 .../src/modals/foldersModal/index.tsx         |   79 +
 .../components/NewFlowCardComponent/index.tsx |   10 +-
 .../components/undrawCards/index.tsx          |    9 +-
 .../src/modals/newFlowModal/index.tsx         |   19 +-
 src/frontend/src/pages/FlowPage/index.tsx     |    2 +-
 .../MainPage/components/components/index.tsx  |  207 --
 .../components/componentsComponent/index.tsx  |  303 +++
 .../components/emptyComponent/index.tsx       |   41 +
 .../components/headerComponent/index.tsx      |   85 +
 .../components/modalsComponent/index.tsx      |   58 +
 .../headerTabsSearchComponent/index.tsx       |   49 +
 .../components/inputSearchComponent/index.tsx |   72 +
 .../components/tabsComponent/index.tsx        |   77 +
 .../myCollectionComponent/index.tsx           |   19 +
 .../src/pages/MainPage/entities/index.tsx     |   26 +
 .../MainPage/hooks/use-delete-folder.tsx      |   32 +
 .../MainPage/hooks/use-dropdown-options.tsx   |   36 +
 .../pages/MainPage/hooks/use-on-file-drop.tsx |   64 +
 src/frontend/src/pages/MainPage/index.tsx     |  121 --
 .../pages/MainPage/pages/mainPage/index.tsx   |  105 +
 .../src/pages/MainPage/services/index.ts      |  121 ++
 .../pages/MainPage/utils/get-name-by-type.ts  |   10 +
 .../MainPage/utils/handle-download-folder.ts  |   23 +
 .../src/pages/MainPage/utils/sort-flows.ts    |   25 +
 src/frontend/src/pages/SettingsPage/index.tsx |   33 +-
 .../SettingsPage/pages/GeneralPage/index.tsx  |    4 +-
 .../pages/GlobalVariablesPage/index.tsx       |    2 +-
 src/frontend/src/routes.tsx                   |   26 +-
 src/frontend/src/stores/flowsManagerStore.ts  |  160 +-
 src/frontend/src/stores/foldersStore.tsx      |  104 +
 src/frontend/src/stores/utilityStore.ts       |   14 +
 src/frontend/src/style/index.css              |    9 +-
 src/frontend/src/types/components/index.ts    |    3 +
 src/frontend/src/types/flow/index.ts          |    1 +
 .../src/types/zustand/flowsManager/index.ts   |   19 +-
 .../src/types/zustand/folders/index.ts        |   26 +
 .../types/zustand/globalVariables/index.ts    |    2 +-
 src/frontend/src/utils/reactflowUtils.ts      |    1 +
 src/frontend/src/utils/styleUtils.ts          |    9 +-
 src/frontend/src/utils/utils.ts               |   54 +
 src/frontend/tailwind.config.js               |    7 +
 .../tests/end-to-end/actionsMainPage.spec.ts  |  124 ++
 .../tests/end-to-end/auto_login.spec.ts       |   10 +-
 .../tests/end-to-end/chatInputOutput.spec.ts  |   16 +-
 .../end-to-end/codeAreaModalComponent.spec.ts |    2 +-
 .../end-to-end/curl_api_generation.spec.ts    |    4 +-
 .../end-to-end/deleteComponentFlows.spec.ts   |   20 +-
 .../tests/end-to-end/dragAndDrop.spec.ts      |    5 +-
 .../end-to-end/dropdownComponent.spec.ts      |   30 +-
 .../end-to-end/fileUploadComponent.spec.ts    |    6 +-
 .../tests/end-to-end/filterEdge.spec.ts       |   32 +-
 .../tests/end-to-end/floatComponent.spec.ts   |   22 +-
 .../tests/end-to-end/flowPage.spec.ts         |    2 +-
 .../tests/end-to-end/flowSettings.spec.ts     |    6 +-
 src/frontend/tests/end-to-end/folders.spec.ts |  152 ++
 .../tests/end-to-end/globalVariables.spec.ts  |    2 +-
 src/frontend/tests/end-to-end/group.spec.ts   |    7 +-
 .../tests/end-to-end/inputComponent.spec.ts   |   48 +-
 .../end-to-end/inputListComponent.spec.ts     |   20 +-
 .../tests/end-to-end/intComponent.spec.ts     |   34 +-
 .../end-to-end/keyPairListComponent.spec.ts   |    6 +-
 .../end-to-end/langflowShortcuts.spec.ts      |    6 +-
 src/frontend/tests/end-to-end/logs.spec.ts    |   60 +
 .../end-to-end/promptModalComponent.spec.ts   |    6 +-
 .../end-to-end/python_api_generation.spec.ts  |    4 +-
 .../tests/end-to-end/saveComponents.spec.ts   |    4 +-
 src/frontend/tests/end-to-end/store.spec.ts   |    2 +-
 .../end-to-end/textAreaModalComponent.spec.ts |    4 +-
 .../tests/end-to-end/textInputOutput.spec.ts  |   19 +-
 .../tests/end-to-end/toggleComponent.spec.ts  |   36 +-
 .../tests/end-to-end/tweaks_test.spec.ts      |   12 +-
 test-results/.last-run.json                   |    4 +
 175 files changed, 6388 insertions(+), 2903 deletions(-)
 create mode 100644 src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
 create mode 100644 src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py
 create mode 100644 src/backend/base/langflow/api/v1/folders.py
 create mode 100644 src/backend/base/langflow/components/outputs/RecordsOutput.py
 create mode 100644 src/backend/base/langflow/services/database/models/folder/__init__.py
 create mode 100644 src/backend/base/langflow/services/database/models/folder/constants.py
 create mode 100644 src/backend/base/langflow/services/database/models/folder/model.py
 create mode 100644 src/backend/base/langflow/services/database/models/folder/utils.py
 create mode 100644 src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx
 create mode 100644 src/frontend/src/components/arrayReaderComponent/index.tsx
 create mode 100644 src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx
 create mode 100644 src/frontend/src/components/dateReaderComponent/index.tsx
 create mode 100644 src/frontend/src/components/horizontalScrollFadeComponent/index.tsx
 create mode 100644 src/frontend/src/components/inputComponent/components/popover/index.tsx
 create mode 100644 src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
 create mode 100644 src/frontend/src/components/numberReader/index.tsx
 create mode 100644 src/frontend/src/components/objectRender/index.tsx
 create mode 100644 src/frontend/src/components/recordsOutputComponent/index.tsx
 create mode 100644 src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx
 create mode 100644 src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
 create mode 100644 src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx
 create mode 100644 src/frontend/src/components/stringReaderComponent/index.tsx
 create mode 100644 src/frontend/src/components/tableAutoCellRender/index.tsx
 create mode 100644 src/frontend/src/components/ui/alert.tsx
 create mode 100644 src/frontend/src/components/ui/custom-accordion.tsx
 create mode 100644 src/frontend/src/components/ui/form.tsx
 create mode 100644 src/frontend/src/modals/BundleModal/component/index.tsx
 create mode 100644 src/frontend/src/modals/BundleModal/entities/index.ts
 create mode 100644 src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx
 create mode 100644 src/frontend/src/modals/BundleModal/index.tsx
 create mode 100644 src/frontend/src/modals/flowLogsModal/index.tsx
 create mode 100644 src/frontend/src/modals/foldersModal/component/index.tsx
 create mode 100644 src/frontend/src/modals/foldersModal/entities/index.ts
 create mode 100644 src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx
 create mode 100644 src/frontend/src/modals/foldersModal/index.tsx
 delete mode 100644 src/frontend/src/pages/MainPage/components/components/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/entities/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx
 create mode 100644 src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx
 create mode 100644 src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx
 delete mode 100644 src/frontend/src/pages/MainPage/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
 create mode 100644 src/frontend/src/pages/MainPage/services/index.ts
 create mode 100644 src/frontend/src/pages/MainPage/utils/get-name-by-type.ts
 create mode 100644 src/frontend/src/pages/MainPage/utils/handle-download-folder.ts
 create mode 100644 src/frontend/src/pages/MainPage/utils/sort-flows.ts
 create mode 100644 src/frontend/src/stores/foldersStore.tsx
 create mode 100644 src/frontend/src/stores/utilityStore.ts
 create mode 100644 src/frontend/src/types/zustand/folders/index.ts
 create mode 100644 src/frontend/tests/end-to-end/actionsMainPage.spec.ts
 create mode 100644 src/frontend/tests/end-to-end/folders.spec.ts
 create mode 100644 src/frontend/tests/end-to-end/logs.spec.ts
 create mode 100644 test-results/.last-run.json

diff --git a/Makefile b/Makefile
index 7053ef8cb..d056654f9 100644
--- a/Makefile
+++ b/Makefile
@@ -141,7 +141,7 @@ backend:
 	@echo 'Setting up the environment'
 	@make setup_env
 	make install_backend
-	@-kill -9 `lsof -t -i:7860`
+	@-kill -9 $(lsof -t -i:7860)
 ifdef login
 	@echo "Running backend autologin is $(login)";
 	LANGFLOW_AUTO_LOGIN=$(login) poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env --loop asyncio
diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md
index 398fc3b9c..b178a5882 100644
--- a/docs/docs/contributing/contribute-component.md
+++ b/docs/docs/contributing/contribute-component.md
@@ -16,7 +16,7 @@ You have a new document loader called **MyCustomDocumentLoader** and it would lo
 6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`.
 7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
 8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx).
-8. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow.
+9. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow.
 
 ## User Sharing
 
@@ -27,21 +27,19 @@ If so, you can share your component on the Langflow store.
 1. [Register at the Langflow store](https://www.langflow.store/login/).
 2. Undergo pre-validation before receiving an API key.
 3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**.
-The share window appears:
+   The share window appears:
 
 <ZoomableImage
-  alt="Docusaurus themed image"
-  sources={{
+alt="Docusaurus themed image"
+sources={{
     light: "img/add-component-to-store.png",
     dark: "img/add-component-to-store.png",
   }}
-  style={{ width: "50%", margin: "20px auto" }}
+style={{ width: "50%", margin: "20px auto" }}
 />
 
 5. Choose whether you want to flow to be public or private.
-You can also **Export** your flow as a JSON file from this window.
-When you're ready to share the flow, click **Share Flow**.
-You should see a **Flow shared successfully** popup.
+   You can also **Export** your flow as a JSON file from this window.
+   When you're ready to share the flow, click **Share Flow**.
+   You should see a **Flow shared successfully** popup.
 6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. You should see your new flow on the **Langflow Store**.
-
-
diff --git a/example.har b/example.har
index 5021c7da5..a4c59bf31 100644
--- a/example.har
+++ b/example.har
@@ -28,8 +28,14 @@
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -80,8 +86,14 @@
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -132,8 +144,14 @@
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -184,8 +202,14 @@
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -236,8 +260,14 @@
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -282,16 +312,28 @@
             { "name": "Accept", "value": "application/json, text/plain, */*" },
             { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
             { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
             { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
             { "name": "Host", "value": "localhost:3000" },
             { "name": "Referer", "value": "http://localhost:3000/flows" },
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -315,7 +357,7 @@
           "content": {
             "size": -1,
             "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output 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generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  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Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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{input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  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URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL 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markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to 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stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL 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markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to 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\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to 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model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include 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models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of 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Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of 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Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json 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import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": 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an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  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Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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prompt template for chat 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Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  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File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser 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Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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  description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to 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\\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch 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self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser 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prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import 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stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and 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Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model 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-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -498,16 +579,31 @@
             { "name": "Accept", "value": "application/json, text/plain, */*" },
             { "name": "Accept-Encoding", "value": "gzip, deflate, br" },
             { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
-            { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" },
+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
             { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
+            {
+              "name": "Cookie",
+              "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto"
+            },
             { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -531,7 +627,7 @@
           "content": {
             "size": -1,
             "mimeType": "application/json",
-            "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 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 Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"PIP Install\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n\\n    def build(self, libs: List[str]) -> Document:\\n        def install_package(package_name):\\n            subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n        for lib in libs:\\n            install_package(lib)\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  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stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract 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is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser 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LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 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Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI 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Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous 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Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language 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Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and 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model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography 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Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return 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Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Image generator\\\"\\n    description: str = \\\"generate images using Dall-E\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n        \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n        \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n        \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n        \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n        \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n        \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n        }\\n\\n    def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n        client = OpenAI(api_key=api_key)\\n        cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n        images_dir = cache_dir / \\\"images\\\"\\n        images_dir.mkdir(parents=True, exist_ok=True)\\n        image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n        response = client.images.generate(\\n          model=model,\\n          prompt=prompt,\\n          size=f\\\"{height}x{width}\\\",\\n          response_format=\\\"b64_json\\\",\\n          n=1,\\n        )\\n        # Decode base64-encoded image string\\n        binary_data = base64.b64decode(response.data[0].b64_json)\\n        # Create PIL Image object from binary image data\\n        image_pil = Image.open(BytesIO(binary_data))\\n        image_pil.save(image_path, format=output_format.upper())\\n        return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Custom Component\\\"\\n    description: str = \\\"Create any custom component you want!\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n    def build(self, param: Chain) -> str:\\n        result = param.run({})\\n        self.status = result\\n        return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900  stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n    display_name: str = \\\"Directory Loader\\\"\\n    description: str = \\\"Generic File Loader\\\"\\n    beta = True\\n    loaders_info = [\\n    {\\n        \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n        \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n        \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"JSONLoader\\\",\\n        \\\"name\\\": \\\"JSON (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n        \\\"defaultFor\\\": [\\\"json\\\"],\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n        \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n    },\\n    {\\n        \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n        \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CSVLoader\\\",\\n        \\\"name\\\": \\\"CSV (.csv)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n        \\\"defaultFor\\\": [\\\"csv\\\"],\\n        \\\"allowdTypes\\\": [\\\"csv\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"CoNLLULoader\\\",\\n        \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n        \\\"defaultFor\\\": [\\\"conllu\\\"],\\n        \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"EverNoteLoader\\\",\\n        \\\"name\\\": \\\"EverNote (.enex)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n        \\\"defaultFor\\\": [\\\"enex\\\"],\\n        \\\"allowdTypes\\\": [\\\"enex\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n        \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n        \\\"allowdTypes\\\": [\\\"json\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n        \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n        \\\"defaultFor\\\": [\\\"msg\\\"],\\n        \\\"allowdTypes\\\": [\\\"msg\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"PyPDFLoader\\\",\\n        \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pdf\\\"],\\n        \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"STRLoader\\\",\\n        \\\"name\\\": \\\"Subtitle (.str)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n        \\\"defaultFor\\\": [\\\"str\\\"],\\n        \\\"allowdTypes\\\": [\\\"str\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"TextLoader\\\",\\n        \\\"name\\\": \\\"Text (.txt)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n        \\\"defaultFor\\\": [\\\"txt\\\"],\\n        \\\"allowdTypes\\\": [\\\"txt\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n        \\\"defaultFor\\\": [\\\"eml\\\"],\\n        \\\"allowdTypes\\\": [\\\"eml\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n        \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n        \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n        \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n        \\\"defaultFor\\\": [\\\"md\\\"],\\n        \\\"allowdTypes\\\": [\\\"md\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n        \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n        \\\"defaultFor\\\": [\\\"pptx\\\"],\\n        \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n    },\\n    {\\n        \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n        \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n        \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n        \\\"defaultFor\\\": [\\\"docx\\\"],\\n        \\\"allowdTypes\\\": [\\\"docx\\\"],\\n    },\\n]\\n\\n\\n    def build_config(self):\\n        loader_options = [\\\"Automatic\\\"] + [\\n            loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n        ]\\n\\n        file_types = []\\n        suffixes = []\\n\\n        for loader_info in self.loaders_info:\\n            if \\\"allowedTypes\\\" in loader_info:\\n                file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n                suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n        return {\\n            \\\"directory_path\\\": {\\n                \\\"display_name\\\": \\\"Directory Path\\\",\\n                \\\"required\\\": True,\\n            },\\n            \\\"loader\\\": {\\n                \\\"display_name\\\": \\\"Loader\\\",\\n                \\\"is_list\\\": True,\\n                \\\"required\\\": True,\\n                \\\"options\\\": loader_options,\\n                \\\"value\\\": \\\"Automatic\\\",\\n            },\\n        }\\n\\n    def build(self, directory_path: str, loader: str) -> Document:\\n        # Verifique se o diretório existe\\n        if not os.path.exists(directory_path):\\n            raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n        files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n        loader_info = None\\n        if loader == \\\"Automatic\\\":\\n            for file in files:\\n                file_type = file.split(\\\".\\\")[-1]\\n\\n\\n                for info in self.loaders_info:\\n                    if \\\"defaultFor\\\" in info:\\n                        if file_type in info[\\\"defaultFor\\\"]:\\n                            loader_info = info\\n                            break\\n                if loader_info:\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(\\n                    \\\"No default loader found for any file in the directory\\\"\\n                )\\n\\n        else:\\n            for info in self.loaders_info:\\n                if info[\\\"name\\\"] == loader:\\n                    loader_info = info\\n                    break\\n\\n            if not loader_info:\\n                raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n        loader_import = loader_info[\\\"import\\\"]\\n        module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n        try:\\n            # Importe o loader dinamicamente\\n            loader_module = __import__(module_name, fromlist=[class_name])\\n            loader_instance = getattr(loader_module, class_name)\\n        except ImportError as e:\\n            raise ValueError(\\n                f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n            ) from e\\n\\n        results = []\\n        for file in files:\\n            file_path = os.path.join(directory_path, file)\\n            kwargs = loader_info.get(\\\"kwargs\\\", {})\\n            result = loader_instance(file_path=file_path, **kwargs).load()\\n            results.append(result)\\n        self.status = results\\n        return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n    AgentExecutor,\\n    BaseChatMemory,\\n    BaseLanguageModel,\\n    BaseLLM,\\n    BaseLoader,\\n    BaseMemory,\\n    BaseOutputParser,\\n    BasePromptTemplate,\\n    BaseRetriever,\\n    Callable,\\n    Chain,\\n    ChatPromptTemplate,\\n    Data,\\n    Document,\\n    Embeddings,\\n    NestedDict,\\n    Object,\\n    PromptTemplate,\\n    TextSplitter,\\n    Tool,\\n    VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n    display_name: str = \\\"Whisper Transcriber\\\"\\n    description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n    def build(self, audio:str, OpenAIKey:str) -> str:\\n        \\n        #  TODO: if output path, persist & load it instead\\n        \\n        client = OpenAI(api_key=OpenAIKey)\\n        \\n        audio_file= open(audio, \\\"rb\\\")\\n        transcript = client.audio.transcriptions.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file,\\n          response_format=\\\"text\\\"\\n        )\\n        \\n        \\n        self.status = transcript\\n        return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n    display_name: str = \\\"YouTube Transcript\\\"\\n    description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n    def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n        dependencies\\n        response = requests.get(url)\\n        loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n        result = loader.load()\\n        self.repr_value = str(result)\\n        return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n    display_name: str = \\\"Recursive Character Text Splitter\\\"\\n    description: str = \\\"Split text into chunks of a specified length.\\\"\\n    documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"documents\\\": {\\n                \\\"display_name\\\": \\\"Documents\\\",\\n                \\\"info\\\": \\\"The documents to split.\\\",\\n            },\\n            \\\"separators\\\": {\\n                \\\"display_name\\\": \\\"Separators\\\",\\n                \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n                \\\"is_list\\\": True,\\n            },\\n            \\\"chunk_size\\\": {\\n                \\\"display_name\\\": \\\"Chunk Size\\\",\\n                \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 1000,\\n            },\\n            \\\"chunk_overlap\\\": {\\n                \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n                \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n                \\\"field_type\\\": \\\"int\\\",\\n                \\\"value\\\": 200,\\n            },\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        documents: list[Document],\\n        separators: Optional[list[str]] = None,\\n        chunk_size: Optional[int] = 1000,\\n        chunk_overlap: Optional[int] = 200,\\n    ) -> list[Document]:\\n        \\\"\\\"\\\"\\n        Split text into chunks of a specified length.\\n\\n        Args:\\n            separators (list[str]): The characters to split on.\\n            chunk_size (int): The maximum length of each chunk.\\n            chunk_overlap (int): The amount of overlap between chunks.\\n            length_function (function): The function to use to calculate the length of the text.\\n\\n        Returns:\\n            list[str]: The chunks of text.\\n        \\\"\\\"\\\"\\n        from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n        if separators == \\\"\\\":\\n            separators = None\\n        elif separators:\\n            # check if the separators list has escaped characters\\n            # if there are escaped characters, unescape them\\n            separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n        # Make sure chunk_size and chunk_overlap are ints\\n        if isinstance(chunk_size, str):\\n            chunk_size = int(chunk_size)\\n        if isinstance(chunk_overlap, str):\\n            chunk_overlap = int(chunk_overlap)\\n        splitter = RecursiveCharacterTextSplitter(\\n            separators=separators,\\n            chunk_size=chunk_size,\\n            chunk_overlap=chunk_overlap,\\n        )\\n\\n        docs = splitter.split_documents(documents)\\n        self.repr_value = build_loader_repr_from_documents(docs)\\n        return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer <token>'}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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embedding 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URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL 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Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n    BaseLanguageModel,\\n    BaseMemory,\\n    BasePromptTemplate,\\n    Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": 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API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n    display_name: str = \\\"Extract Hyperlinks\\\"\\n    description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n    def build(self, soup: Data) -> list:\\n        links = [link.get('href') for link in soup.find_all('a')]\\n        self.status = links\\n        return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"URL Input\\\"\\n\\n    def build(self, url: str) -> str:\\n        return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n    display_name: str = \\\"List to Bullets\\\"\\n    description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n    def build(self, items: list) -> str:\\n        markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n        return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground  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LLMChainComponent(CustomComponent):\\n    display_name = \\\"LLMChain\\\"\\n    description = \\\"Chain to run queries against LLMs\\\"\\n\\n    def build_config(self):\\n        return {\\n            \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        prompt: BasePromptTemplate,\\n        llm: BaseLanguageModel,\\n        memory: Optional[BaseMemory] = None,\\n    ) -> Union[Chain, Callable]:\\n        return LLMChain(prompt=prompt, llm=llm, 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Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI 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Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n    display_name: str = \\\"HTML to Markdown\\\"\\n    description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n    def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n        converter = html2text.HTML2Text()\\n        converter.ignore_links = ignore_links\\n        markdown_text = converter.handle(html_content)\\n        self.status = markdown_text\\n        return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n    display_name: str = \\\"Fetch HTML\\\"\\n    description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n    \\n    def build_config(self):\\n        return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n    def build(self, url: str) -> Data:\\n        response = requests.get(url)\\n        self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n        return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n    display_name: str = \\\"Parse HTML\\\"\\n    description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n    def build(self, html_content: Data) -> Data:\\n        soup = BeautifulSoup(html_content, 'html.parser')\\n        self.status = soup\\n        return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse 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Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n    display_name: str = \\\"OpenAI STT english translator\\\"\\n    description: str = \\\"Transcript and translate any audio to english\\\"\\n    documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n    def build_config(self):\\n        return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n    def build(self,audio_path:str,openAI_key:str) -> str:\\n        client = OpenAI(api_key=openAI_key)\\n        audio_file= open(audio_path, \\\"rb\\\")\\n        transcript = client.audio.translations.create(\\n          model=\\\"whisper-1\\\", \\n          file=audio_file\\n        )\\n        self.status = transcript.text\\n        return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI 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Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language 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Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and 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Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n    display_name: str = \\\"Prompt Runner\\\"\\n    description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n    beta: bool = True\\n    field_config = {\\n        \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n        \\\"prompt\\\": {\\n            \\\"display_name\\\": \\\"Prompt Template\\\",\\n            \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n        },\\n        \\\"code\\\": {\\\"show\\\": False},\\n    }\\n\\n    def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n        chain = prompt | llm\\n        # The input is an empty dict because the prompt is already filled\\n        result = chain.invoke(input=inputs)\\n        if hasattr(result, \\\"content\\\"):\\n            result = result.content\\n        self.repr_value = result\\n        return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900  stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n    display_name: str = \\\"Metaphor Search\\\"\\n    description: str = \\\"Search in Metaphor with a custom string.\\\"\\n    beta = True\\n    \\n    def build_config(self):\\n        return {\\n        \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"},   \\n        \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n        \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\",  \\\"is_list\\\": True},\\n        \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n        \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n        \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n        \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n    }\\n\\n    def build(\\n        self,\\n        methaphor_client: Data,\\n        query: str,\\n        search_type: str='keyword',\\n        search_num_results: int = 5,\\n        include_domains: List[str]= [\\\"youtube.com\\\"],\\n        use_autoprompt: bool = False,\\n        start_date: str=\\\"2023-01-01\\\",\\n        \\n    ) -> Data:\\n        \\n        results = []\\n        for domain in include_domains:\\n            response = methaphor_client.search(\\n                    query,\\n                    num_results=int(search_num_results),\\n                    include_domains=[domain],\\n                    use_autoprompt=use_autoprompt,\\n                    type=search_type,\\n                    # start_crawl_date=start_date,\\n                    start_published_date=start_date\\n                )\\n            results.extend(response.results)\\n    \\n        self.repr_value = results\\n\\n        return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and 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files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json 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Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n    display_name: str = \\\"Agent Initializer\\\"\\n    description: str = \\\"Initialize a Langchain Agent.\\\"\\n    documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n    def build_config(self):\\n        agents = list(types.AGENT_TO_CLASS.keys())\\n        # field_type and required are optional\\n        return {\\n            \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n            \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n            \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n            \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n            \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n        }\\n\\n    def build(\\n        self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n    ) -> Union[AgentExecutor, Callable]:\\n        agent = AgentType(agent)\\n        return initialize_agent(\\n            tools=tools,\\n            llm=llm,\\n            agent=agent,\\n            memory=memory,\\n            return_intermediate_steps=True,\\n            handle_parsing_errors=True,\\n            max_iterations=max_iterations,\\n        )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n    \\\"\\\"\\\"\\n    A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n    \\\"\\\"\\\"\\n\\n    display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n    description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n    documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n    beta = True\\n\\n    def build_config(self):\\n        return {\\n            \\\"model_id\\\": {\\n                \\\"display_name\\\": \\\"Model Id\\\",\\n                \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n            },\\n            \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n            \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n            \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n            \\\"code\\\": {\\\"show\\\": False},\\n        }\\n\\n    def build(\\n        self,\\n        model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n        credentials_profile_name: Optional[str] = None,\\n        endpoint_url: Optional[str] = None,\\n        region_name: Optional[str] = None,\\n    ) -> Embeddings:\\n        try:\\n            output = BedrockEmbeddings(\\n                credentials_profile_name=credentials_profile_name,\\n                model_id=model_id,\\n                endpoint_url=endpoint_url,\\n                region_name=region_name,\\n            )  # type: ignore\\n        except Exception as e:\\n            raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n        return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business 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           "bodySize": -1,
@@ -552,16 +648,31 @@
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             { "name": "Accept-Language", "value": "en-US,en;q=0.9" },
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+            {
+              "name": "Authorization",
+              "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20"
+            },
             { "name": "Connection", "value": "keep-alive" },
-            { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" },
+            {
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+            },
             { "name": "Host", "value": "localhost:3000" },
-            { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" },
+            {
+              "name": "Referer",
+              "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99"
+            },
             { "name": "Sec-Fetch-Dest", "value": "empty" },
             { "name": "Sec-Fetch-Mode", "value": "cors" },
             { "name": "Sec-Fetch-Site", "value": "same-origin" },
-            { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" },
-            { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+            },
+            {
+              "name": "sec-ch-ua",
+              "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\""
+            },
             { "name": "sec-ch-ua-mobile", "value": "?0" },
             { "name": "sec-ch-ua-platform", "value": "\"Linux\"" }
           ],
@@ -596,4 +707,4 @@
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     ]
   }
-}
\ No newline at end of file
+}
diff --git a/poetry.lock b/poetry.lock
index 46d892aac..2e96250bf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -156,30 +156,31 @@ vine = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
 name = "anthropic"
-version = "0.26.0"
+version = "0.26.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "anthropic-0.26.0-py3-none-any.whl", hash = "sha256:38fc415561d71dcf263b89da0cc6ecec498379b56256fc4242e9128bc707b283"},
-    {file = "anthropic-0.26.0.tar.gz", hash = "sha256:6aaffeb05d515cf9788eef57150a5f827f3786883628ccac71dbe5671ab6f44e"},
+    {file = "anthropic-0.26.1-py3-none-any.whl", hash = "sha256:2812b9b250b551ed8a1f0a7e6ae3f005654098994f45ebca5b5808bd154c9628"},
+    {file = "anthropic-0.26.1.tar.gz", hash = "sha256:26680ff781a6f678a30a1dccd0743631e602b23a47719439ffdef5335fa167d8"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.1.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tokenizers = ">=0.13.0"
@@ -469,17 +470,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.34.108"
+version = "1.34.110"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.108-py3-none-any.whl", hash = "sha256:3601267d76cac17f1d4595c3d8d968dc15be074b79bfa3985187a02b328a0a5f"},
-    {file = "boto3-1.34.108.tar.gz", hash = "sha256:677723295151d29ff9b363598a20c1997c4e2af7e50669d9e428b757fe586a10"},
+    {file = "boto3-1.34.110-py3-none-any.whl", hash = "sha256:2fc871b4a5090716c7a71af52c462e539529227f4d4888fd04896d5028f9cedc"},
+    {file = "boto3-1.34.110.tar.gz", hash = "sha256:83ffe2273da7bdfdb480d85b0705f04e95bd110e9741f23328b7c76c03e6d53c"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.108,<1.35.0"
+botocore = ">=1.34.110,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -488,13 +489,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.108"
+version = "1.34.110"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.108-py3-none-any.whl", hash = "sha256:b1b9d00804267669c5fcc36489269f7e9c43580c30f0885fbf669cf73cec720b"},
-    {file = "botocore-1.34.108.tar.gz", hash = "sha256:384c9408c447631475dc41fdc9bf2e0f30c29c420d96bfe8b468bdc2bace3e13"},
+    {file = "botocore-1.34.110-py3-none-any.whl", hash = "sha256:1edf3a825ec0a5edf238b2d42ad23305de11d5a71bb27d6f9a58b7e8862df1b6"},
+    {file = "botocore-1.34.110.tar.gz", hash = "sha256:b2c98c40ecf0b1facb9e61ceb7dfa28e61ae2456490554a16c8dbf99f20d6a18"},
 ]
 
 [package.dependencies]
@@ -1847,17 +1848,20 @@ vectorstore-mmr = ["numpy (>=1)", "simsimd (>=3)"]
 
 [[package]]
 name = "emoji"
-version = "2.11.1"
+version = "2.12.1"
 description = "Emoji for Python"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = ">=3.7"
 files = [
-    {file = "emoji-2.11.1-py2.py3-none-any.whl", hash = "sha256:b7ba25299bbf520cc8727848ae66b986da32aee27dc2887eaea2bff07226ce49"},
-    {file = "emoji-2.11.1.tar.gz", hash = "sha256:062ff0b3154b6219143f8b9f4b3e5c64c35bc2b146e6e2349ab5f29e218ce1ee"},
+    {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
+    {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
 ]
 
+[package.dependencies]
+typing-extensions = ">=4.7.0"
+
 [package.extras]
-dev = ["coverage", "coveralls", "pytest"]
+dev = ["coverage", "pytest (>=7.4.4)"]
 
 [[package]]
 name = "exceptiongroup"
@@ -2581,13 +2585,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.51.0"
+version = "1.52.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.51.0.tar.gz", hash = "sha256:901993b4d14392452699c14cf23d72c01c5488ee36a7e00b23195e64d7d2f5ec"},
-    {file = "google_cloud_aiplatform-1.51.0-py2.py3-none-any.whl", hash = "sha256:f2d3ff231454fe397f02fce1358680dea76ed7c74fc42e6c7e1aa1acb1648df3"},
+    {file = "google-cloud-aiplatform-1.52.0.tar.gz", hash = "sha256:932a56e3050b4bc9a2c0630e6af3c0bd52f0bcf72b5dc01c059874231099edd3"},
+    {file = "google_cloud_aiplatform-1.52.0-py2.py3-none-any.whl", hash = "sha256:8c62f5d0ec39e008737ebba4875105ed7563dd0958f591f95dc7816e4b30f92a"},
 ]
 
 [package.dependencies]
@@ -2610,7 +2614,7 @@ datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0de
 endpoint = ["requests (>=2.28.1)"]
 full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
 langchain = ["langchain (>=0.1.16,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)"]
-langchain-testing = ["absl-py", "cloudpickle (>=2.2.1,<3.0)", "langchain (>=0.1.16,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
+langchain-testing = ["absl-py", "cloudpickle (>=2.2.1,<4.0)", "langchain (>=0.1.16,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -2620,7 +2624,7 @@ private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 rapid-evaluation = ["nest-asyncio (>=1.0.0,<1.6.0)", "pandas (>=1.0.0,<2.2.0)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"]
 ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
-reasoningengine = ["cloudpickle (>=2.2.1,<3.0)", "pydantic (>=2.6.3,<3)"]
+reasoningengine = ["cloudpickle (>=2.2.1,<4.0)", "pydantic (>=2.6.3,<3)"]
 tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
 vizier = ["google-vizier (>=0.1.6)"]
@@ -2628,13 +2632,13 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.23.0"
+version = "3.23.1"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.63.0)"]
+protobuf = ["grpcio-tools (>=1.64.0)"]
 
 [[package]]
 name = "grpcio-health-checking"
@@ -3716,6 +3720,76 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
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+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -4233,7 +4307,7 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
 name = "langflow-base"
-version = "0.0.45"
+version = "0.0.46"
 description = "A Python package with a built-in web application"
 optional = false
 python-versions = ">=3.10,<3.13"
@@ -4288,13 +4362,13 @@ url = "src/backend/base"
 
 [[package]]
 name = "langfuse"
-version = "2.32.0"
+version = "2.33.0"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -4312,13 +4386,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.59"
+version = "0.1.60"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 ]
 
 [package.dependencies]
@@ -4345,13 +4419,13 @@ regex = ["regex"]
 
 [[package]]
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+version = "1.37.19"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
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 ]
 
 [package.dependencies]
@@ -4494,13 +4568,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.9"
+version = "0.1.10"
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 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -4562,13 +4636,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-llms-openai"
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 description = "llama-index llms openai integration"
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 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -5751,13 +5825,13 @@ files = [
 
 [[package]]
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+version = "12.5.40"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
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 [[package]]
@@ -8032,13 +8106,13 @@ files = [
 
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 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
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 [package.dependencies]
@@ -8301,45 +8375,48 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
 [[package]]
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 ]
 
 [package.dependencies]
 joblib = ">=1.2.0"
 numpy = ">=1.19.5"
 scipy = ">=1.6.0"
-threadpoolctl = ">=2.0.0"
+threadpoolctl = ">=3.1.0"
 
 [package.extras]
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+benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
+build = ["cython (>=3.0.10)", "meson-python (>=0.15.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
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+maintenance = ["conda-lock (==2.5.6)"]
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 [[package]]
 name = "scipy"
@@ -8409,19 +8486,18 @@ dev = ["pre-commit", "pytest", "ruff (>=0.3.0)"]
 
 [[package]]
 name = "setuptools"
-version = "69.5.1"
+version = "70.0.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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 [[package]]
 name = "shapely"
@@ -9296,13 +9372,13 @@ files = [
 
 [[package]]
 name = "types-pillow"
-version = "10.2.0.20240511"
+version = "10.2.0.20240520"
 description = "Typing stubs for Pillow"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -9395,13 +9471,13 @@ types-pyOpenSSL = "*"
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.20240406"
+version = "2.32.0.20240521"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -9799,13 +9875,13 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.6.2"
+version = "4.6.3"
 description = "A python native Weaviate client"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "weaviate_client-4.6.3.tar.gz", hash = "sha256:a6e638f746f91c310fe6680cffa77949718f17d8b40b966f7037028cacfd94e0"},
 ]
 
 [package.dependencies]
diff --git a/pyproject.toml b/pyproject.toml
index aeb58a46f..a4ca17ca9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "1.0.0a34"
+version = "1.0.0a35"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
diff --git a/scripts/aws/lib/construct/db.ts b/scripts/aws/lib/construct/db.ts
index 662b3e48b..7687da59e 100644
--- a/scripts/aws/lib/construct/db.ts
+++ b/scripts/aws/lib/construct/db.ts
@@ -1,27 +1,30 @@
-import { Construct } from 'constructs';
-import * as ec2 from 'aws-cdk-lib/aws-ec2'
+import { Construct } from "constructs";
+import * as ec2 from "aws-cdk-lib/aws-ec2";
 import * as rds from "aws-cdk-lib/aws-rds";
-import * as cdk from 'aws-cdk-lib';
+import * as cdk from "aws-cdk-lib";
 
 interface RdsProps {
-  vpc: ec2.Vpc
-  dbSG:ec2.SecurityGroup
+  vpc: ec2.Vpc;
+  dbSG: ec2.SecurityGroup;
 }
 
-export class Rds extends Construct{
-  readonly rdsCluster: rds.DatabaseCluster
+export class Rds extends Construct {
+  readonly rdsCluster: rds.DatabaseCluster;
 
-  constructor(scope: Construct, id:string, props: RdsProps){
+  constructor(scope: Construct, id: string, props: RdsProps) {
     super(scope, id);
 
-    const {vpc, dbSG} = props
-    const instanceType = ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE4_GRAVITON, ec2.InstanceSize.MEDIUM)
+    const { vpc, dbSG } = props;
+    const instanceType = ec2.InstanceType.of(
+      ec2.InstanceClass.BURSTABLE4_GRAVITON,
+      ec2.InstanceSize.MEDIUM
+    );
 
     // RDSのパスワードを自動生成してSecrets Managerに格納
-    const rdsCredentials = rds.Credentials.fromGeneratedSecret('db_user',{
-      secretName: 'langflow-DbSecret',
-    })
-    
+    const rdsCredentials = rds.Credentials.fromGeneratedSecret("db_user", {
+      secretName: "langflow-DbSecret",
+    });
+
     // DB クラスターのパラメータグループ作成
     const clusterParameterGroup = new rds.ParameterGroup(
       scope,
@@ -36,7 +39,7 @@ export class Rds extends Construct{
         description: "for-langflow",
       }
     );
-    clusterParameterGroup.bindToCluster({})
+    clusterParameterGroup.bindToCluster({});
 
     // DB インスタンスのパラメタグループ作成
     const instanceParameterGroup = new rds.ParameterGroup(
@@ -44,12 +47,15 @@ export class Rds extends Construct{
       "InstanceParameterGroup",
       {
         engine: rds.DatabaseClusterEngine.auroraMysql({
-          version: rds.AuroraMysqlEngineVersion.of("8.0.mysql_aurora.3.05.2", '8.0'),
+          version: rds.AuroraMysqlEngineVersion.of(
+            "8.0.mysql_aurora.3.05.2",
+            "8.0"
+          ),
         }),
         description: "for-langflow",
       }
     );
-    instanceParameterGroup.bindToInstance({})
+    instanceParameterGroup.bindToInstance({});
 
     this.rdsCluster = new rds.DatabaseCluster(scope, "LangflowDbCluster", {
       engine: rds.DatabaseClusterEngine.auroraMysql({
diff --git a/src/backend/base/langflow/__main__.py b/src/backend/base/langflow/__main__.py
index 726b967a5..dfb784c90 100644
--- a/src/backend/base/langflow/__main__.py
+++ b/src/backend/base/langflow/__main__.py
@@ -17,8 +17,10 @@ from rich import print as rprint
 from rich.console import Console
 from rich.panel import Panel
 from rich.table import Table
+from sqlmodel import select
 
 from langflow.main import setup_app
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
 from langflow.services.database.utils import session_getter
 from langflow.services.deps import get_db_service
 from langflow.services.utils import initialize_services
@@ -432,11 +434,16 @@ def superuser(
             # Verify that the superuser was created
             from langflow.services.database.models.user.model import User
 
-            user: User = session.query(User).filter(User.username == username).first()
+            user: User = session.exec(select(User).where(User.username == username)).first()
             if user is None or not user.is_superuser:
                 typer.echo("Superuser creation failed.")
                 return
-
+            # Now create the first folder for the user
+            result = create_default_folder_if_it_doesnt_exist(session, user.id)
+            if result:
+                typer.echo("Default folder created successfully.")
+            else:
+                raise RuntimeError("Could not create default folder.")
             typer.echo("Superuser created successfully.")
 
         else:
diff --git a/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
new file mode 100644
index 000000000..b9ebc2ca2
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
@@ -0,0 +1,78 @@
+"""Add Folder table
+
+Revision ID: 012fb73ac359
+Revises: c153816fd85f
+Create Date: 2024-05-07 12:52:16.954691
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "012fb73ac359"
+down_revision: Union[str, None] = "c153816fd85f"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "folder" not in table_names:
+        op.create_table(
+            "folder",
+            sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
+            sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+            sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+            sa.Column("parent_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+            sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
+            sa.ForeignKeyConstraint(
+                ["parent_id"],
+                ["folder.id"],
+            ),
+            sa.ForeignKeyConstraint(
+                ["user_id"],
+                ["user.id"],
+            ),
+            sa.PrimaryKeyConstraint("id"),
+        )
+    indexes = inspector.get_indexes("folder")
+    if "ix_folder_name" not in [index["name"] for index in indexes]:
+        with op.batch_alter_table("folder", schema=None) as batch_op:
+            batch_op.create_index(batch_op.f("ix_folder_name"), ["name"], unique=False)
+
+    if "folder_id" not in inspector.get_columns("flow"):
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            batch_op.add_column(sa.Column("folder_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
+            batch_op.create_foreign_key("flow_folder_id_fkey", "folder", ["folder_id"], ["id"])
+            batch_op.drop_column("folder")
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    if "folder_id" in inspector.get_columns("flow"):
+        with op.batch_alter_table("flow", schema=None) as batch_op:
+            batch_op.add_column(sa.Column("folder", sa.VARCHAR(), nullable=True))
+            batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
+            batch_op.drop_column("folder_id")
+
+    indexes = inspector.get_indexes("folder")
+    if "ix_folder_name" in [index["name"] for index in indexes]:
+        with op.batch_alter_table("folder", schema=None) as batch_op:
+            batch_op.drop_index(batch_op.f("ix_folder_name"))
+
+    if "folder" in table_names:
+        op.drop_table("folder")
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py
new file mode 100644
index 000000000..9a2518df2
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py
@@ -0,0 +1,43 @@
+"""Add missing index
+
+Revision ID: 29fe8f1f806b
+Revises: 012fb73ac359
+Create Date: 2024-05-21 09:23:48.772367
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+revision: str = "29fe8f1f806b"
+down_revision: Union[str, None] = "012fb73ac359"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes = inspector.get_indexes("flow")
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        indexes_names = [index["name"] for index in indexes]
+        if "ix_flow_folder_id" not in indexes_names:
+            batch_op.create_index(batch_op.f("ix_flow_folder_id"), ["folder_id"], unique=False)
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes = inspector.get_indexes("flow")
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        indexes_names = [index["name"] for index in indexes]
+        if "ix_flow_folder_id" in indexes_names:
+            batch_op.drop_index(batch_op.f("ix_flow_folder_id"))
+
+    # ### end Alembic commands ###
diff --git a/src/backend/base/langflow/api/router.py b/src/backend/base/langflow/api/router.py
index 569014acf..d5d709738 100644
--- a/src/backend/base/langflow/api/router.py
+++ b/src/backend/base/langflow/api/router.py
@@ -13,6 +13,7 @@ from langflow.api.v1 import (
     users_router,
     validate_router,
     variables_router,
+    folders_router,
 )
 
 router = APIRouter(
@@ -29,3 +30,4 @@ router.include_router(login_router)
 router.include_router(variables_router)
 router.include_router(files_router)
 router.include_router(monitor_router)
+router.include_router(folders_router)
diff --git a/src/backend/base/langflow/api/v1/__init__.py b/src/backend/base/langflow/api/v1/__init__.py
index 0342c76c8..efc55cba8 100644
--- a/src/backend/base/langflow/api/v1/__init__.py
+++ b/src/backend/base/langflow/api/v1/__init__.py
@@ -9,6 +9,7 @@ from langflow.api.v1.store import router as store_router
 from langflow.api.v1.users import router as users_router
 from langflow.api.v1.validate import router as validate_router
 from langflow.api.v1.variable import router as variables_router
+from langflow.api.v1.folders import router as folders_router
 
 __all__ = [
     "chat_router",
@@ -22,4 +23,5 @@ __all__ = [
     "variables_router",
     "monitor_router",
     "files_router",
+    "folders_router",
 ]
diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py
index 549e0c2b7..40290afa7 100644
--- a/src/backend/base/langflow/api/v1/chat.py
+++ b/src/backend/base/langflow/api/v1/chat.py
@@ -29,7 +29,7 @@ from langflow.services.deps import get_chat_service, get_session, get_session_se
 from langflow.services.monitor.utils import log_vertex_build
 
 if TYPE_CHECKING:
-    from langflow.graph.vertex.types import ChatVertex
+    from langflow.graph.vertex.types import InterfaceVertex
     from langflow.services.session.service import SessionService
 
 router = APIRouter(tags=["Chat"])
@@ -288,7 +288,7 @@ async def build_vertex_stream(
                     if not graph:
                         raise ValueError(f"No graph found for {flow_id}.")
 
-                vertex: "ChatVertex" = graph.get_vertex(vertex_id)
+                vertex: "InterfaceVertex" = graph.get_vertex(vertex_id)
                 if not hasattr(vertex, "stream"):
                     raise ValueError(f"Vertex {vertex_id} does not support streaming")
                 if isinstance(vertex._built_result, str) and vertex._built_result:
diff --git a/src/backend/base/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py
index e13d4333d..e206935c4 100644
--- a/src/backend/base/langflow/api/v1/endpoints.py
+++ b/src/backend/base/langflow/api/v1/endpoints.py
@@ -4,7 +4,7 @@ from typing import Annotated, List, Optional, Union
 import sqlalchemy as sa
 from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status
 from loguru import logger
-from sqlmodel import Session, select
+from sqlmodel import Session, col, select
 
 from langflow.api.utils import update_frontend_node_with_template_values
 from langflow.api.v1.schemas import (
diff --git a/src/backend/base/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py
index bafd1c08b..2b8e4ee37 100644
--- a/src/backend/base/langflow/api/v1/flows.py
+++ b/src/backend/base/langflow/api/v1/flows.py
@@ -2,17 +2,19 @@ from datetime import datetime, timezone
 from typing import List
 from uuid import UUID
 
+from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
 import orjson
 from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
 from fastapi.encoders import jsonable_encoder
 from loguru import logger
-from sqlmodel import Session, select
+from sqlmodel import Session, col, select
 
 from langflow.api.utils import remove_api_keys, validate_is_component
-from langflow.api.v1.schemas import FlowListCreate, FlowListRead
+from langflow.api.v1.schemas import FlowListCreate, FlowListIds, FlowListRead
 from langflow.initial_setup.setup import STARTER_FOLDER_NAME
 from langflow.services.auth.utils import get_current_active_user
 from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
+from langflow.services.database.models.folder.model import Folder
 from langflow.services.database.models.user.model import User
 from langflow.services.deps import get_session, get_settings_service
 from langflow.services.settings.service import SettingsService
@@ -35,6 +37,11 @@ def create_flow(
     db_flow = Flow.model_validate(flow, from_attributes=True)
     db_flow.updated_at = datetime.now(timezone.utc)
 
+    if db_flow.folder_id is None:
+        default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+        if default_folder:
+            db_flow.folder_id = default_folder.id
+
     session.add(db_flow)
     session.commit()
     session.refresh(db_flow)
@@ -67,7 +74,7 @@ def read_flows(
             example_flows = session.exec(
                 select(Flow).where(
                     Flow.user_id == None,  # noqa
-                    Flow.folder == STARTER_FOLDER_NAME,
+                    Flow.folder.has(Folder.name == STARTER_FOLDER_NAME),
                 )
             ).all()
             for example_flow in example_flows:
@@ -129,6 +136,10 @@ def update_flow(
         if value is not None:
             setattr(db_flow, key, value)
     db_flow.updated_at = datetime.now(timezone.utc)
+    if db_flow.folder_id is None:
+        default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+        if default_folder:
+            db_flow.folder_id = default_folder.id
     session.add(db_flow)
     session.commit()
     session.refresh(db_flow)
@@ -208,3 +219,31 @@ async def download_file(
     """Download all flows as a file."""
     flows = read_flows(current_user=current_user, session=session, settings_service=settings_service)
     return FlowListRead(flows=flows)
+
+
+@router.post("/multiple_delete/")
+async def delete_multiple_flows(
+    flow_ids: FlowListIds, user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
+):
+    """
+    Delete multiple flows by their IDs.
+
+    Args:
+        flow_ids (List[str]): The list of flow IDs to delete.
+        user (User, optional): The user making the request. Defaults to the current active user.
+
+    Returns:
+        dict: A dictionary containing the number of flows deleted.
+
+    """
+    try:
+        deleted_flows = db.exec(
+            select(Flow).where(col(Flow.id).in_(flow_ids.flow_ids)).where(Flow.user_id == user.id)
+        ).all()
+        for flow in deleted_flows:
+            db.delete(flow)
+        db.commit()
+        return {"deleted": len(deleted_flows)}
+    except Exception as exc:
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
diff --git a/src/backend/base/langflow/api/v1/folders.py b/src/backend/base/langflow/api/v1/folders.py
new file mode 100644
index 000000000..9e598b1ea
--- /dev/null
+++ b/src/backend/base/langflow/api/v1/folders.py
@@ -0,0 +1,243 @@
+from typing import List
+from uuid import UUID
+
+from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status
+from langflow.api.v1.flows import create_flows
+from langflow.api.v1.schemas import FlowListCreate, FlowListReadWithFolderName
+from langflow.initial_setup.setup import STARTER_FOLDER_NAME
+from langflow.services.database.models.flow.model import Flow, FlowCreate, FlowRead
+from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
+import orjson
+from sqlalchemy import update
+from sqlmodel import Session, select
+
+from langflow.services.auth.utils import get_current_active_user
+from langflow.services.database.models.folder.model import (
+    Folder,
+    FolderCreate,
+    FolderRead,
+    FolderReadWithFlows,
+    FolderUpdate,
+)
+from langflow.services.database.models.user.model import User
+from langflow.services.deps import get_session
+
+router = APIRouter(prefix="/folders", tags=["Folders"])
+
+
+@router.post("/", response_model=FolderRead, status_code=201)
+def create_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder: FolderCreate,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        new_folder = Folder.model_validate(folder, from_attributes=True)
+        new_folder.user_id = current_user.id
+        session.add(new_folder)
+        session.commit()
+        session.refresh(new_folder)
+
+        if folder.components_list.__len__() > 0:
+            update_statement_components = (
+                update(Flow).where(Flow.id.in_(folder.components_list)).values(folder_id=new_folder.id)
+            )
+            session.exec(update_statement_components)
+            session.commit()
+
+        if folder.flows_list.__len__() > 0:
+            update_statement_flows = update(Flow).where(Flow.id.in_(folder.flows_list)).values(folder_id=new_folder.id)
+            session.exec(update_statement_flows)
+            session.commit()
+
+        return new_folder
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/", response_model=List[FolderRead], status_code=200)
+def read_folders(
+    *,
+    session: Session = Depends(get_session),
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folders = session.exec(select(Folder).where(Folder.user_id == current_user.id)).all()
+        return folders
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/starter-projects", response_model=FolderReadWithFlows, status_code=200)
+def read_starter_folders(*, session: Session = Depends(get_session)):
+    try:
+        folders = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+        return folders
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/{folder_id}", response_model=FolderReadWithFlows, status_code=200)
+def read_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first()
+        if not folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        folder.flows = session.exec(select(Flow).where(Flow.folder_id == folder_id)).all()
+        return folder
+    except Exception as e:
+        if "No result found" in str(e):
+            raise HTTPException(status_code=404, detail="Folder not found")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.patch("/{folder_id}", response_model=FolderRead, status_code=200)
+def update_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: UUID,
+    folder: FolderUpdate,  # Assuming FolderUpdate is a Pydantic model defining updatable fields
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        existing_folder = session.exec(
+            select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)
+        ).first()
+        if not existing_folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        folder_data = folder.model_dump(exclude_unset=True)
+        for key, value in folder_data.items():
+            if key != "components" and key != "flows":
+                setattr(existing_folder, key, value)
+        session.add(existing_folder)
+        session.commit()
+        session.refresh(existing_folder)
+
+        concat_folder_components = folder.components + folder.flows
+
+        flows_ids = session.exec(select(Flow.id).where(Flow.folder_id == existing_folder.id)).all()
+
+        excluded_flows = list(set(flows_ids) - set(concat_folder_components))
+
+        my_collection_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+        if my_collection_folder:
+            update_statement_my_collection = (
+                update(Flow).where(Flow.id.in_(excluded_flows)).values(folder_id=my_collection_folder.id)
+            )
+            session.exec(update_statement_my_collection)
+            session.commit()
+
+        if concat_folder_components.__len__() > 0:
+            update_statement_components = (
+                update(Flow).where(Flow.id.in_(concat_folder_components)).values(folder_id=existing_folder.id)
+            )
+            session.exec(update_statement_components)
+            session.commit()
+
+        return existing_folder
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.delete("/{folder_id}", status_code=204)
+def delete_folder(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+):
+    try:
+        folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first()
+        if not folder:
+            raise HTTPException(status_code=404, detail="Folder not found")
+        session.delete(folder)
+        session.commit()
+        flows = session.exec(select(Flow).where(Flow.folder_id == folder_id, Folder.user_id == current_user.id)).all()
+        for flow in flows:
+            session.delete(flow)
+        session.commit()
+        return Response(status_code=status.HTTP_204_NO_CONTENT)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/download/{folder_id}", response_model=FlowListReadWithFolderName, status_code=200)
+async def download_file(
+    *,
+    session: Session = Depends(get_session),
+    folder_id: UUID,
+    current_user: User = Depends(get_current_active_user),
+):
+    """Download all flows from folder."""
+    try:
+        flows = session.exec(
+            select(Flow).distinct().join(Folder).where(Flow.folder_id == folder_id, Folder.user_id == current_user.id)
+        ).all()
+        folder_name = (
+            session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first().name
+        )
+        folder_description = (
+            session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id))
+            .first()
+            .description
+        )
+        if not flows:
+            flows = []
+        return FlowListReadWithFolderName(flows=flows, folder_name=folder_name, folder_description=folder_description)
+    except Exception as e:
+        if "No result found" in str(e):
+            raise HTTPException(status_code=404, detail="Folder not found")
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.post("/upload/", response_model=List[FlowRead], status_code=201)
+async def upload_file(
+    *,
+    session: Session = Depends(get_session),
+    file: UploadFile = File(...),
+    current_user: User = Depends(get_current_active_user),
+):
+    """Upload flows from a file."""
+    contents = await file.read()
+    data = orjson.loads(contents)
+
+    if data.__len__() == 0:
+        raise HTTPException(status_code=400, detail="No flows found in the file")
+
+    folder_results = session.exec(
+        select(Folder).where(Folder.name.like(f"{data['folder_name']}%"), Folder.user_id == current_user.id)
+    )
+    existing_folder_names = [folder.name for folder in folder_results]
+
+    if existing_folder_names.__len__() > 0:
+        data["folder_name"] = f"{data['folder_name']} ({existing_folder_names.__len__() + 1})"
+
+    folder = FolderCreate(name=data["folder_name"], description=data["folder_description"])
+
+    new_folder = Folder.model_validate(folder, from_attributes=True)
+    new_folder.id = None
+    new_folder.user_id = current_user.id
+    session.add(new_folder)
+    session.commit()
+    session.refresh(new_folder)
+
+    del data["folder_name"]
+    del data["folder_description"]
+
+    if "flows" in data:
+        flow_list = FlowListCreate(flows=[FlowCreate(**flow) for flow in data["flows"]])
+    else:
+        raise HTTPException(status_code=400, detail="No flows found in the data")
+    # Now we set the user_id for all flows
+    for flow in flow_list.flows:
+        flow.user_id = current_user.id
+        flow.folder_id = new_folder.id
+
+    return create_flows(session=session, flow_list=flow_list, current_user=current_user)
diff --git a/src/backend/base/langflow/api/v1/login.py b/src/backend/base/langflow/api/v1/login.py
index 8c9fb5bd4..69a1d5876 100644
--- a/src/backend/base/langflow/api/v1/login.py
+++ b/src/backend/base/langflow/api/v1/login.py
@@ -1,5 +1,7 @@
 from fastapi import APIRouter, Depends, HTTPException, Request, Response, status
 from fastapi.security import OAuth2PasswordRequestForm
+from sqlmodel import Session
+
 from langflow.api.v1.schemas import Token
 from langflow.services.auth.utils import (
     authenticate_user,
@@ -7,14 +9,10 @@ from langflow.services.auth.utils import (
     create_user_longterm_token,
     create_user_tokens,
 )
-from langflow.services.deps import (
-    get_session,
-    get_settings_service,
-    get_variable_service,
-)
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.deps import get_session, get_settings_service, get_variable_service
 from langflow.services.settings.manager import SettingsService
 from langflow.services.variable.service import VariableService
-from sqlmodel import Session
 
 router = APIRouter(tags=["Login"])
 
@@ -58,6 +56,8 @@ async def login_to_get_access_token(
             expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
         )
         variable_service.initialize_user_variables(user.id, db)
+        # Create default folder for user if it doesn't exist
+        create_default_folder_if_it_doesnt_exist(db, user.id)
         return tokens
     else:
         raise HTTPException(
@@ -86,6 +86,7 @@ async def auto_login(
             expires=None,  # Set to None to make it a session cookie
         )
         variable_service.initialize_user_variables(user_id, db)
+        create_default_folder_if_it_doesnt_exist(db, user_id)
         return tokens
 
     raise HTTPException(
@@ -139,4 +140,3 @@ async def logout(response: Response):
     response.delete_cookie("refresh_token_lf")
     response.delete_cookie("access_token_lf")
     return {"message": "Logout successful"}
-    return {"message": "Logout successful"}
diff --git a/src/backend/base/langflow/api/v1/monitor.py b/src/backend/base/langflow/api/v1/monitor.py
index dbefd1c3b..05fee6f03 100644
--- a/src/backend/base/langflow/api/v1/monitor.py
+++ b/src/backend/base/langflow/api/v1/monitor.py
@@ -1,10 +1,13 @@
-from typing import Optional
+from typing import List, Optional
 
 from fastapi import APIRouter, Depends, HTTPException, Query
 
-
 from langflow.services.deps import get_monitor_service
-from langflow.services.monitor.schema import VertexBuildMapModel
+from langflow.services.monitor.schema import (
+    MessageModelResponse,
+    TransactionModelResponse,
+    VertexBuildMapModel,
+)
 from langflow.services.monitor.service import MonitorService
 
 router = APIRouter(prefix="/monitor", tags=["Monitor"])
@@ -40,8 +43,9 @@ async def delete_vertex_builds(
         raise HTTPException(status_code=500, detail=str(e))
 
 
-@router.get("/messages")
+@router.get("/messages", response_model=List[MessageModelResponse])
 async def get_messages(
+    flow_id: Optional[str] = Query(None),
     session_id: Optional[str] = Query(None),
     sender: Optional[str] = Query(None),
     sender_name: Optional[str] = Query(None),
@@ -49,25 +53,32 @@ async def get_messages(
     monitor_service: MonitorService = Depends(get_monitor_service),
 ):
     try:
-        return monitor_service.get_messages(
+        df = monitor_service.get_messages(
+            flow_id=flow_id,
             sender=sender,
             sender_name=sender_name,
             session_id=session_id,
             order_by=order_by,
         )
+        dicts = df.to_dict(orient="records")
+        return [MessageModelResponse(**d) for d in dicts]
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
 
 
-@router.get("/transactions")
+@router.get("/transactions", response_model=List[TransactionModelResponse])
 async def get_transactions(
     source: Optional[str] = Query(None),
     target: Optional[str] = Query(None),
     status: Optional[str] = Query(None),
     order_by: Optional[str] = Query("timestamp"),
+    flow_id: Optional[str] = Query(None),
     monitor_service: MonitorService = Depends(get_monitor_service),
 ):
     try:
-        return monitor_service.get_transactions(source=source, target=target, status=status, order_by=order_by)
+        dicts = monitor_service.get_transactions(
+            source=source, target=target, status=status, order_by=order_by, flow_id=flow_id
+        )
+        return [TransactionModelResponse(**d) for d in dicts]
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py
index 9558ac8c5..1d93cc0e2 100644
--- a/src/backend/base/langflow/api/v1/schemas.py
+++ b/src/backend/base/langflow/api/v1/schemas.py
@@ -139,10 +139,20 @@ class FlowListCreate(BaseModel):
     flows: List[FlowCreate]
 
 
+class FlowListIds(BaseModel):
+    flow_ids: List[str]
+
+
 class FlowListRead(BaseModel):
     flows: List[FlowRead]
 
 
+class FlowListReadWithFolderName(BaseModel):
+    flows: List[FlowRead]
+    folder_name: str
+    folder_description: str
+
+
 class InitResponse(BaseModel):
     flowId: str
 
diff --git a/src/backend/base/langflow/api/v1/users.py b/src/backend/base/langflow/api/v1/users.py
index 7a6d4b7c6..f7261e9d2 100644
--- a/src/backend/base/langflow/api/v1/users.py
+++ b/src/backend/base/langflow/api/v1/users.py
@@ -13,6 +13,7 @@ from langflow.services.auth.utils import (
     get_password_hash,
     verify_password,
 )
+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
 from langflow.services.database.models.user import User, UserCreate, UserRead, UserUpdate
 from langflow.services.database.models.user.crud import get_user_by_id, update_user
 from langflow.services.deps import get_session, get_settings_service
@@ -36,6 +37,9 @@ def add_user(
         session.add(new_user)
         session.commit()
         session.refresh(new_user)
+        folder = create_default_folder_if_it_doesnt_exist(session, new_user.id)
+        if not folder:
+            raise HTTPException(status_code=500, detail="Error creating default folder")
     except IntegrityError as e:
         session.rollback()
         raise HTTPException(status_code=400, detail="This username is unavailable.") from e
diff --git a/src/backend/base/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py
index 039b42d0c..14a09b3f5 100644
--- a/src/backend/base/langflow/base/io/chat.py
+++ b/src/backend/base/langflow/base/io/chat.py
@@ -54,6 +54,7 @@ class ChatComponent(CustomComponent):
             session_id=session_id,
             sender=sender,
             sender_name=sender_name,
+            flow_id=self.graph.flow_id,
         )
 
         self.status = records
diff --git a/src/backend/base/langflow/base/prompts/utils.py b/src/backend/base/langflow/base/prompts/utils.py
index fbf46dd71..2270035af 100644
--- a/src/backend/base/langflow/base/prompts/utils.py
+++ b/src/backend/base/langflow/base/prompts/utils.py
@@ -1,3 +1,6 @@
+from copy import deepcopy
+
+
 from langchain_core.documents import Document
 
 from langflow.schema import Record
@@ -27,19 +30,20 @@ def dict_values_to_string(d: dict) -> dict:
         dict: The dictionary with values converted to strings.
     """
     # Do something similar to the above
-    for key, value in d.items():
+    d_copy = deepcopy(d)
+    for key, value in d_copy.items():
         # it could be a list of records or documents or strings
         if isinstance(value, list):
             for i, item in enumerate(value):
                 if isinstance(item, Record):
-                    d[key][i] = record_to_string(item)
+                    d_copy[key][i] = record_to_string(item)
                 elif isinstance(item, Document):
-                    d[key][i] = document_to_string(item)
+                    d_copy[key][i] = document_to_string(item)
         elif isinstance(value, Record):
-            d[key] = record_to_string(value)
+            d_copy[key] = record_to_string(value)
         elif isinstance(value, Document):
-            d[key] = document_to_string(value)
-    return d
+            d_copy[key] = document_to_string(value)
+    return d_copy
 
 
 def document_to_string(document: Document) -> str:
diff --git a/src/backend/base/langflow/components/outputs/RecordsOutput.py b/src/backend/base/langflow/components/outputs/RecordsOutput.py
new file mode 100644
index 000000000..bdd8a85e2
--- /dev/null
+++ b/src/backend/base/langflow/components/outputs/RecordsOutput.py
@@ -0,0 +1,10 @@
+from langflow.base.io.text import TextComponent
+from langflow.schema import Record
+
+
+class RecordsOutput(TextComponent):
+    display_name = "Records Output"
+    description = "Display Records as a Table"
+
+    def build(self, input_value: Record) -> Record:
+        return input_value
diff --git a/src/backend/base/langflow/graph/edge/base.py b/src/backend/base/langflow/graph/edge/base.py
index ba7fe05e8..dad8469c0 100644
--- a/src/backend/base/langflow/graph/edge/base.py
+++ b/src/backend/base/langflow/graph/edge/base.py
@@ -3,9 +3,8 @@ from typing import TYPE_CHECKING, Any, List, Optional
 from loguru import logger
 from pydantic import BaseModel, Field
 
-from langflow.graph.edge.utils import build_clean_params
+from langflow.graph.vertex.utils import log_transaction
 from langflow.schema.schema import INPUT_FIELD_NAME
-from langflow.services.deps import get_monitor_service
 from langflow.services.monitor.utils import log_message
 
 if TYPE_CHECKING:
@@ -157,26 +156,9 @@ class ContractEdge(Edge):
                 message=target.params.get(INPUT_FIELD_NAME, {}),
                 session_id=target.params.get("session_id", ""),
                 artifacts=target.artifacts,
+                flow_id=target.graph.flow_id,
             )
         return self.result
 
     def __repr__(self) -> str:
         return f"{self.source_id} -[{self.target_param}]-> {self.target_id}"
-
-
-def log_transaction(edge: ContractEdge, source: "Vertex", target: "Vertex", status, error=None):
-    try:
-        monitor_service = get_monitor_service()
-        clean_params = build_clean_params(target)
-        data = {
-            "source": source.vertex_type,
-            "target": target.vertex_type,
-            "target_args": clean_params,
-            "timestamp": monitor_service.get_timestamp(),
-            "status": status,
-            "error": error,
-        }
-        monitor_service.add_row(table_name="transactions", data=data)
-    except Exception as e:
-        logger.error(f"Error logging transaction: {e}")
-        logger.error(f"Error logging transaction: {e}")
diff --git a/src/backend/base/langflow/graph/edge/utils.py b/src/backend/base/langflow/graph/edge/utils.py
index 0f69e4b2d..e69de29bb 100644
--- a/src/backend/base/langflow/graph/edge/utils.py
+++ b/src/backend/base/langflow/graph/edge/utils.py
@@ -1,19 +0,0 @@
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from langflow.graph.vertex.base import Vertex
-
-
-def build_clean_params(target: "Vertex") -> dict:
-    """
-    Cleans the parameters of the target vertex.
-    """
-    # Removes all keys that the values aren't python types like str, int, bool, etc.
-    params = {
-        key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
-    }
-    # if it is a list we need to check if the contents are python types
-    for key, value in params.items():
-        if isinstance(value, list):
-            params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
-    return params
diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py
index 0e06dec4f..bd17d43f8 100644
--- a/src/backend/base/langflow/graph/graph/base.py
+++ b/src/backend/base/langflow/graph/graph/base.py
@@ -14,7 +14,7 @@ from langflow.graph.graph.state_manager import GraphStateManager
 from langflow.graph.graph.utils import process_flow
 from langflow.graph.schema import InterfaceComponentTypes, RunOutputs
 from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, StateVertex, ToolkitVertex
+from langflow.graph.vertex.types import FileToolVertex, InterfaceVertex, LLMVertex, StateVertex, ToolkitVertex
 from langflow.interface.tools.constants import FILE_TOOLS
 from langflow.schema import Record
 from langflow.schema.schema import INPUT_FIELD_NAME, InputType
@@ -994,8 +994,8 @@ class Graph:
         """Returns the node class based on the node type."""
         # First we check for the node_base_type
         node_name = node_id.split("-")[0]
-        if node_name in ["ChatOutput", "ChatInput"]:
-            return ChatVertex
+        if node_name in InterfaceComponentTypes:
+            return InterfaceVertex
         elif node_name in ["SharedState", "Notify", "Listen"]:
             return StateVertex
         elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
diff --git a/src/backend/base/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py
index 193159c13..2ed42fbff 100644
--- a/src/backend/base/langflow/graph/graph/constants.py
+++ b/src/backend/base/langflow/graph/graph/constants.py
@@ -1,3 +1,4 @@
+from langflow.graph.schema import CHAT_COMPONENTS
 from langflow.graph.vertex import types
 from langflow.interface.agents.base import agent_creator
 from langflow.interface.custom.base import custom_component_creator
@@ -13,8 +14,6 @@ from langflow.interface.tools.base import tool_creator
 from langflow.interface.wrappers.base import wrapper_creator
 from langflow.utils.lazy_load import LazyLoadDictBase
 
-CHAT_COMPONENTS = ["ChatInput", "ChatOutput", "TextInput", "SessionID"]
-
 
 class VertexTypesDict(LazyLoadDictBase):
     def __init__(self):
@@ -47,7 +46,7 @@ class VertexTypesDict(LazyLoadDictBase):
             **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
             **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
             **{t: types.RetrieverVertex for t in retriever_creator.to_list()},
-            **{t: types.ChatVertex for t in CHAT_COMPONENTS},
+            **{t: types.InterfaceVertex for t in CHAT_COMPONENTS},
         }
 
     def get_custom_component_vertex_type(self):
diff --git a/src/backend/base/langflow/graph/schema.py b/src/backend/base/langflow/graph/schema.py
index 0bbdfa720..18010de4c 100644
--- a/src/backend/base/langflow/graph/schema.py
+++ b/src/backend/base/langflow/graph/schema.py
@@ -30,6 +30,7 @@ class InterfaceComponentTypes(str, Enum, metaclass=ContainsEnumMeta):
     ChatOutput = "ChatOutput"
     TextInput = "TextInput"
     TextOutput = "TextOutput"
+    RecordsOutput = "RecordsOutput"
 
     def __contains__(cls, item):
         try:
@@ -40,6 +41,8 @@ class InterfaceComponentTypes(str, Enum, metaclass=ContainsEnumMeta):
             return True
 
 
+CHAT_COMPONENTS = [InterfaceComponentTypes.ChatInput, InterfaceComponentTypes.ChatOutput]
+RECORDS_COMPONENTS = [InterfaceComponentTypes.RecordsOutput]
 INPUT_COMPONENTS = [
     InterfaceComponentTypes.ChatInput,
     InterfaceComponentTypes.TextInput,
diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py
index ae0544fa1..e0dd0f4bf 100644
--- a/src/backend/base/langflow/graph/vertex/base.py
+++ b/src/backend/base/langflow/graph/vertex/base.py
@@ -10,7 +10,7 @@ from loguru import logger
 
 from langflow.graph.schema import INPUT_COMPONENTS, OUTPUT_COMPONENTS, InterfaceComponentTypes, ResultData
 from langflow.graph.utils import UnbuiltObject, UnbuiltResult
-from langflow.graph.vertex.utils import generate_result
+from langflow.graph.vertex.utils import generate_result, log_transaction
 from langflow.interface.initialize import loading
 from langflow.interface.listing import lazy_load_dict
 from langflow.schema.schema import INPUT_FIELD_NAME
@@ -440,7 +440,11 @@ class Vertex:
         # to the frontend
         self.set_artifacts()
         artifacts = self.artifacts
-        messages = self.extract_messages_from_artifacts(artifacts)
+        if isinstance(artifacts, dict):
+            messages = self.extract_messages_from_artifacts(artifacts)
+        else:
+            messages = []
+
         result_dict = ResultData(
             results=result_dict,
             artifacts=artifacts,
@@ -508,7 +512,7 @@ class Vertex:
             if not self._is_vertex(value):
                 self.params[key][sub_key] = value
             else:
-                result = await value.get_result()
+                result = await value.get_result(self)
                 self.params[key][sub_key] = result
 
     def _is_vertex(self, value):
@@ -523,9 +527,7 @@ class Vertex:
         """
         return all(self._is_vertex(vertex) for vertex in value)
 
-    async def get_result(
-        self,
-    ) -> Any:
+    async def get_result(self, requester: "Vertex") -> Any:
         """
         Retrieves the result of the vertex.
 
@@ -535,9 +537,9 @@ class Vertex:
             The result of the vertex.
         """
         async with self._lock:
-            return await self._get_result()
+            return await self._get_result(requester)
 
-    async def _get_result(self) -> Any:
+    async def _get_result(self, requester: "Vertex") -> Any:
         """
         Retrieves the result of the built component.
 
@@ -547,15 +549,19 @@ class Vertex:
             The built result if use_result is True, else the built object.
         """
         if not self._built:
+            log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="error")
             raise ValueError(f"Component {self.display_name} has not been built yet")
-        return self._built_result if self.use_result else self._built_object
+
+        result = self._built_result if self.use_result else self._built_object
+        log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="success")
+        return result
 
     async def _build_vertex_and_update_params(self, key, vertex: "Vertex"):
         """
         Builds a given vertex and updates the params dictionary accordingly.
         """
 
-        result = await vertex.get_result()
+        result = await vertex.get_result(self)
         self._handle_func(key, result)
         if isinstance(result, list):
             self._extend_params_list_with_result(key, result)
@@ -571,7 +577,7 @@ class Vertex:
         """
         self.params[key] = []
         for vertex in vertices:
-            result = await vertex.get_result()
+            result = await vertex.get_result(self)
             # Weird check to see if the params[key] is a list
             # because sometimes it is a Record and breaks the code
             if not isinstance(self.params[key], list):
diff --git a/src/backend/base/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py
index 5faeeaa8b..941f06036 100644
--- a/src/backend/base/langflow/graph/vertex/types.py
+++ b/src/backend/base/langflow/graph/vertex/types.py
@@ -6,14 +6,14 @@ import yaml
 from langchain_core.messages import AIMessage
 from loguru import logger
 
-from langflow.graph.schema import InterfaceComponentTypes
+from langflow.graph.schema import CHAT_COMPONENTS, RECORDS_COMPONENTS, InterfaceComponentTypes
 from langflow.graph.utils import UnbuiltObject, flatten_list, serialize_field
 from langflow.graph.vertex.base import Vertex
 from langflow.interface.utils import extract_input_variables_from_prompt
 from langflow.schema import Record
 from langflow.schema.schema import INPUT_FIELD_NAME
 from langflow.services.monitor.utils import log_vertex_build
-from langflow.utils.schemas import ChatOutputResponse
+from langflow.utils.schemas import ChatOutputResponse, RecordOutputResponse
 from langflow.utils.util import unescape_string
 
 
@@ -309,7 +309,7 @@ class CustomComponentVertex(Vertex):
             return self.artifacts["repr"] or super()._built_object_repr()
 
 
-class ChatVertex(Vertex):
+class InterfaceVertex(Vertex):
     def __init__(self, data: Dict, graph):
         super().__init__(data, graph=graph, base_type="custom_components", is_task=True)
         self.steps = [self._build, self._run]
@@ -325,56 +325,131 @@ class ChatVertex(Vertex):
                 return f"Task {self.task_id} is not running"
         if self.artifacts:
             # dump as a yaml string
-            artifacts = {k.title().replace("_", " "): v for k, v in self.artifacts.items() if v is not None}
+            if isinstance(self.artifacts, dict):
+                _artifacts = [self.artifacts]
+            elif hasattr(self.artifacts, "records"):
+                _artifacts = self.artifacts.records
+            else:
+                _artifacts = self.artifacts
+            artifacts = []
+            for artifact in _artifacts:
+                # artifacts = {k.title().replace("_", " "): v for k, v in self.artifacts.items() if v is not None}
+                artifact = {k.title().replace("_", " "): v for k, v in artifact.items() if v is not None}
+                artifacts.append(artifact)
             yaml_str = yaml.dump(artifacts, default_flow_style=False, allow_unicode=True)
             return yaml_str
         return super()._built_object_repr()
 
+    def _process_chat_component(self):
+        """
+        Process the chat component and return the message.
+
+        This method processes the chat component by extracting the necessary parameters
+        such as sender, sender_name, and message from the `params` dictionary. It then
+        performs additional operations based on the type of the `_built_object` attribute.
+        If `_built_object` is an instance of `AIMessage`, it creates a `ChatOutputResponse`
+        object using the `from_message` method. If `_built_object` is not an instance of
+        `UnbuiltObject`, it checks the type of `_built_object` and performs specific
+        operations accordingly. If `_built_object` is a dictionary, it converts it into a
+        code block. If `_built_object` is an instance of `Record`, it assigns the `text`
+        attribute to the `message` variable. If `message` is an instance of `AsyncIterator`
+        or `Iterator`, it builds a stream URL and sets `message` to an empty string. If
+        `_built_object` is not a string, it converts it to a string. If `message` is a
+        generator or iterator, it assigns it to the `message` variable. Finally, it creates
+        a `ChatOutputResponse` object using the extracted parameters and assigns it to the
+        `artifacts` attribute. If `artifacts` is not None, it calls the `model_dump` method
+        on it and assigns the result to the `artifacts` attribute. It then returns the
+        `message` variable.
+
+        Returns:
+            str: The processed message.
+        """
+        artifacts = None
+        sender = self.params.get("sender", None)
+        sender_name = self.params.get("sender_name", None)
+        message = self.params.get(INPUT_FIELD_NAME, None)
+        if isinstance(message, str):
+            message = unescape_string(message)
+        stream_url = None
+        if isinstance(self._built_object, AIMessage):
+            artifacts = ChatOutputResponse.from_message(
+                self._built_object,
+                sender=sender,
+                sender_name=sender_name,
+            )
+        elif not isinstance(self._built_object, UnbuiltObject):
+            if isinstance(self._built_object, dict):
+                # Turn the dict into a pleasing to
+                # read JSON inside a code block
+                message = dict_to_codeblock(self._built_object)
+            elif isinstance(self._built_object, Record):
+                message = self._built_object.text
+            elif isinstance(message, (AsyncIterator, Iterator)):
+                stream_url = self.build_stream_url()
+                message = ""
+            elif not isinstance(self._built_object, str):
+                message = str(self._built_object)
+            # if the message is a generator or iterator
+            # it means that it is a stream of messages
+            else:
+                message = self._built_object
+
+            artifacts = ChatOutputResponse(
+                message=message,
+                sender=sender,
+                sender_name=sender_name,
+                stream_url=stream_url,
+            )
+
+            self.will_stream = stream_url is not None
+        if artifacts:
+            self.artifacts = artifacts.model_dump(exclude_none=True)
+
+        return message
+
+    def _process_record_component(self):
+        """
+        Process the record component of the vertex.
+
+        If the built object is an instance of `Record`, it calls the `model_dump` method
+        and assigns the result to the `artifacts` attribute.
+
+        If the built object is a list, it iterates over each element and checks if it is
+        an instance of `Record`. If it is, it calls the `model_dump` method and appends
+        the result to the `artifacts` list. If it is not, it raises a `ValueError` if the
+        `ignore_errors` parameter is set to `False`, or logs an error message if it is set
+        to `True`.
+
+        Returns:
+            The built object.
+
+        Raises:
+            ValueError: If an element in the list is not an instance of `Record` and
+                `ignore_errors` is set to `False`.
+        """
+        if isinstance(self._built_object, Record):
+            artifacts = [self._built_object.data]
+        elif isinstance(self._built_object, list):
+            artifacts = []
+            ignore_errors = self.params.get("ignore_errors", False)
+            for record in self._built_object:
+                if isinstance(record, Record):
+                    artifacts.append(record.data)
+                elif ignore_errors:
+                    logger.error(f"Record expected, but got {record} of type {type(record)}")
+                else:
+                    raise ValueError(f"Record expected, but got {record} of type {type(record)}")
+        self.artifacts = RecordOutputResponse(records=artifacts)
+        return self._built_object
+
     async def _run(self, *args, **kwargs):
         if self.is_interface_component:
-            if self.vertex_type in ["ChatOutput", "ChatInput"]:
-                artifacts = None
-                sender = self.params.get("sender", None)
-                sender_name = self.params.get("sender_name", None)
-                message = self.params.get(INPUT_FIELD_NAME, None)
-                if isinstance(message, str):
-                    message = unescape_string(message)
-                stream_url = None
-                if isinstance(self._built_object, AIMessage):
-                    artifacts = ChatOutputResponse.from_message(
-                        self._built_object,
-                        sender=sender,
-                        sender_name=sender_name,
-                    )
-                elif not isinstance(self._built_object, UnbuiltObject):
-                    if isinstance(self._built_object, dict):
-                        # Turn the dict into a pleasing to
-                        # read JSON inside a code block
-                        message = dict_to_codeblock(self._built_object)
-                    elif isinstance(self._built_object, Record):
-                        message = self._built_object.text
-                    elif isinstance(message, (AsyncIterator, Iterator)):
-                        stream_url = self.build_stream_url()
-                        message = ""
-                    elif not isinstance(self._built_object, str):
-                        message = str(self._built_object)
-                    # if the message is a generator or iterator
-                    # it means that it is a stream of messages
-                    else:
-                        message = self._built_object
-
-                    artifacts = ChatOutputResponse(
-                        message=message,
-                        sender=sender,
-                        sender_name=sender_name,
-                        stream_url=stream_url,
-                    )
-
-                    self.will_stream = stream_url is not None
-                if artifacts:
-                    self.artifacts = artifacts.model_dump(exclude_none=True)
+            if self.vertex_type in CHAT_COMPONENTS:
+                message = self._process_chat_component()
+            elif self.vertex_type in RECORDS_COMPONENTS:
+                message = self._process_record_component()
             if isinstance(self._built_object, (AsyncIterator, Iterator)):
-                if self.params["return_record"]:
+                if self.params.get("return_record", False):
                     self._built_object = Record(text=message, data=self.artifacts)
                 else:
                     self._built_object = message
diff --git a/src/backend/base/langflow/graph/vertex/utils.py b/src/backend/base/langflow/graph/vertex/utils.py
index ea2693e29..b978424f2 100644
--- a/src/backend/base/langflow/graph/vertex/utils.py
+++ b/src/backend/base/langflow/graph/vertex/utils.py
@@ -1,11 +1,15 @@
-from typing import Any, Optional, Union
+from typing import Any, Optional, Union, TYPE_CHECKING
 
 from langchain_core.messages import BaseMessage
 from langchain_core.runnables import Runnable
 from loguru import logger
 
+from langflow.services.deps import get_monitor_service
 from langflow.utils.constants import PYTHON_BASIC_TYPES
 
+if TYPE_CHECKING:
+    from langflow.graph.vertex.base import Vertex
+
 
 def is_basic_type(obj):
     return type(obj) in PYTHON_BASIC_TYPES
@@ -63,3 +67,49 @@ async def generate_result(built_object: Any, inputs: dict, has_external_output:
     else:
         result = built_object
     return result
+
+
+def build_clean_params(target: "Vertex") -> dict:
+    """
+    Cleans the parameters of the target vertex.
+    """
+    # Removes all keys that the values aren't python types like str, int, bool, etc.
+    params = {
+        key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
+    }
+    # if it is a list we need to check if the contents are python types
+    for key, value in params.items():
+        if isinstance(value, list):
+            params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
+    return params
+
+
+def log_transaction(source: "Vertex", target: "Vertex", flow_id, status, error=None):
+    """
+    Logs a transaction between two vertices.
+
+    Args:
+        source (Vertex): The source vertex of the transaction.
+        target (Vertex): The target vertex of the transaction.
+        status: The status of the transaction.
+        error (Optional): Any error associated with the transaction.
+
+    Raises:
+        Exception: If there is an error while logging the transaction.
+
+    """
+    try:
+        monitor_service = get_monitor_service()
+        clean_params = build_clean_params(target)
+        data = {
+            "source": source.vertex_type,
+            "target": target.vertex_type,
+            "target_args": clean_params,
+            "timestamp": monitor_service.get_timestamp(),
+            "status": status,
+            "error": error,
+            "flow_id": flow_id,
+        }
+        monitor_service.add_row(table_name="transactions", data=data)
+    except Exception as e:
+        logger.error(f"Error logging transaction: {e}")
diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py
index ca2bc230a..3c976cb94 100644
--- a/src/backend/base/langflow/initial_setup/setup.py
+++ b/src/backend/base/langflow/initial_setup/setup.py
@@ -11,10 +11,11 @@ from sqlmodel import select
 from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES
 from langflow.interface.types import get_all_components
 from langflow.services.database.models.flow.model import Flow, FlowCreate
+from langflow.services.database.models.folder.model import Folder, FolderCreate
 from langflow.services.deps import get_settings_service, session_scope
 
 STARTER_FOLDER_NAME = "Starter Projects"
-
+STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langflow."
 
 # In the folder ./starter_projects we have a few JSON files that represent
 # starter projects. We want to load these into the database so that users
@@ -158,6 +159,7 @@ def create_new_project(
     project_data,
     project_icon,
     project_icon_bg_color,
+    new_folder_id
 ):
     logger.debug(f"Creating starter project {project_name}")
     new_project = FlowCreate(
@@ -168,33 +170,41 @@ def create_new_project(
         data=project_data,
         is_component=project_is_component,
         updated_at=updated_at_datetime,
-        folder=STARTER_FOLDER_NAME,
+        folder_id=new_folder_id,
     )
     db_flow = Flow.model_validate(new_project, from_attributes=True)
     session.add(db_flow)
 
 
-def get_all_flows_similar_to_project(session, project_name):
-    flows = session.exec(
-        select(Flow).where(
-            Flow.name == project_name,
-            Flow.folder == STARTER_FOLDER_NAME,
-        )
-    ).all()
+def get_all_flows_similar_to_project(session, folder_id):
+    flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows
     return flows
 
 
-def delete_start_projects(session):
-    flows = session.exec(
-        select(Flow).where(
-            Flow.folder == STARTER_FOLDER_NAME,
-        )
-    ).all()
+def delete_start_projects(session, folder_id):
+    flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows
     for flow in flows:
         session.delete(flow)
     session.commit()
 
 
+def folder_exists(session, folder_name):
+    folder = session.exec(select(Folder).where(Folder.name == folder_name)).first()
+    return folder is not None
+
+
+def create_starter_folder(session):
+    if not folder_exists(session, STARTER_FOLDER_NAME):
+        new_folder = FolderCreate(name=STARTER_FOLDER_NAME, description=STARTER_FOLDER_DESCRIPTION)
+        db_folder = Folder.model_validate(new_folder, from_attributes=True)
+        session.add(db_folder)
+        session.commit()
+        session.refresh(db_folder)
+        return db_folder
+    else:
+        return session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+
+
 def create_or_update_starter_projects():
     components_paths = get_settings_service().settings.COMPONENTS_PATH
     try:
@@ -203,8 +213,9 @@ def create_or_update_starter_projects():
         logger.exception(f"Error loading components: {e}")
         raise e
     with session_scope() as session:
+        new_folder = create_starter_folder(session)
         starter_projects = load_starter_projects()
-        delete_start_projects(session)
+        delete_start_projects(session, new_folder.id)
         for project_path, project in starter_projects:
             (
                 project_name,
@@ -224,7 +235,7 @@ def create_or_update_starter_projects():
 
                 update_project_file(project_path, project, updated_project_data)
             if project_name and project_data:
-                for existing_project in get_all_flows_similar_to_project(session, project_name):
+                for existing_project in get_all_flows_similar_to_project(session, new_folder.id):
                     session.delete(existing_project)
 
                 create_new_project(
@@ -236,4 +247,5 @@ def create_or_update_starter_projects():
                     project_data,
                     project_icon,
                     project_icon_bg_color,
+                    new_folder.id
                 )
diff --git a/src/backend/base/langflow/memory.py b/src/backend/base/langflow/memory.py
index f494f6e60..f44958fdd 100644
--- a/src/backend/base/langflow/memory.py
+++ b/src/backend/base/langflow/memory.py
@@ -1,5 +1,5 @@
 import warnings
-from typing import Optional, Union
+from typing import List, Optional, Union
 
 from loguru import logger
 
@@ -60,7 +60,7 @@ def get_messages(
     return records
 
 
-def add_messages(records: Union[list[Record], Record]):
+def add_messages(records: Union[list[Record], Record], flow_id: Optional[str] = None):
     """
     Add a message to the monitor service.
     """
@@ -76,7 +76,8 @@ def add_messages(records: Union[list[Record], Record]):
 
         messages: list[MessageModel] = []
         for record in records:
-            messages.append(MessageModel.from_record(record))
+            record.timestamp = monitor_service.get_timestamp()
+            messages.append(MessageModel.from_record(record, flow_id=flow_id))
 
         for message in messages:
             try:
@@ -107,7 +108,24 @@ def store_message(
     session_id: Optional[str] = None,
     sender: Optional[str] = None,
     sender_name: Optional[str] = None,
-) -> list[Record]:
+    flow_id: Optional[str] = None,
+) -> List[Record]:
+    """
+    Stores a message in the memory.
+
+    Args:
+        message (Union[str, Record]): The message to be stored. It can be either a string or a Record object.
+        session_id (Optional[str]): The session ID associated with the message.
+        sender (Optional[str]): The sender ID associated with the message.
+        sender_name (Optional[str]): The name of the sender associated with the message.
+        flow_id (Optional[str]): The flow ID associated with the message. When running from the CustomComponent you can access this using `self.graph.flow_id`.
+
+    Returns:
+        List[Record]: A list of records containing the stored message.
+
+    Raises:
+        ValueError: If any of the required parameters (session_id, sender, sender_name) is not provided.
+    """
     if not message:
         warnings.warn("No message provided.")
         return []
@@ -134,4 +152,4 @@ def store_message(
             },
         )
 
-    return add_messages([record])
+    return add_messages([record], flow_id=flow_id)
diff --git a/src/backend/base/langflow/schema/schema.py b/src/backend/base/langflow/schema/schema.py
index 1474c24ee..921bd65b2 100644
--- a/src/backend/base/langflow/schema/schema.py
+++ b/src/backend/base/langflow/schema/schema.py
@@ -1,4 +1,5 @@
 import copy
+import json
 from typing import Literal, Optional, cast
 
 from langchain_core.documents import Document
@@ -162,23 +163,15 @@ class Record(BaseModel):
         # Create a new Record object with a deep copy of the data dictionary
         return Record(data=copy.deepcopy(self.data, memo), text_key=self.text_key, default_value=self.default_value)
 
-    def __str__(self) -> str:
-        """
-        Returns a string representation of the Record, including text and data.
-        """
-        # Assuming a method to dump model data as JSON string exists.
-        # If it doesn't, you might need to implement it or use json.dumps() directly.
-        # build the string considering all keys in the data dictionary
-        prefix = "Record("
-        suffix = ")"
-        text = f"text_key={self.text_key}, "
-        text += ", ".join([f"{k}={v}" for k, v in self.data.items()])
-        return prefix + text + suffix
-
     # check which attributes the Record has by checking the keys in the data dictionary
     def __dir__(self):
         return super().__dir__() + list(self.data.keys())
 
+    def __str__(self) -> str:
+        # return a JSON string representation of the Record atributes
+
+        return json.dumps(self.data)
+
 
 INPUT_FIELD_NAME = "input_value"
 
diff --git a/src/backend/base/langflow/services/database/models/__init__.py b/src/backend/base/langflow/services/database/models/__init__.py
index 1f19435bd..ce12a6fce 100644
--- a/src/backend/base/langflow/services/database/models/__init__.py
+++ b/src/backend/base/langflow/services/database/models/__init__.py
@@ -1,6 +1,7 @@
 from .api_key import ApiKey
 from .flow import Flow
+from .folder import Folder
 from .user import User
 from .variable import Variable
 
-__all__ = ["Flow", "User", "ApiKey", "Variable"]
+__all__ = ["Flow", "User", "ApiKey", "Variable", "Folder"]
diff --git a/src/backend/base/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py
index 42cd9277d..17b5e8931 100644
--- a/src/backend/base/langflow/services/database/models/flow/model.py
+++ b/src/backend/base/langflow/services/database/models/flow/model.py
@@ -13,6 +13,7 @@ from sqlmodel import JSON, Column, Field, Relationship, SQLModel
 from langflow.schema.schema import Record
 
 if TYPE_CHECKING:
+    from langflow.services.database.models.folder import Folder
     from langflow.services.database.models.user import User
 
 
@@ -24,7 +25,7 @@ class FlowBase(SQLModel):
     data: Optional[Dict] = Field(default=None, nullable=True)
     is_component: Optional[bool] = Field(default=False, nullable=True)
     updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True)
-    folder: Optional[str] = Field(default=None, nullable=True)
+    folder_id: Optional[UUID] = Field(default=None, nullable=True)
 
     @field_validator("icon_bg_color")
     def validate_icon_bg_color(cls, v):
@@ -112,6 +113,8 @@ class Flow(FlowBase, table=True):
     data: Optional[Dict] = Field(default=None, sa_column=Column(JSON))
     user_id: Optional[UUID] = Field(index=True, foreign_key="user.id", nullable=True)
     user: "User" = Relationship(back_populates="flows")
+    folder_id: Optional[UUID] = Field(default=None, foreign_key="folder.id", nullable=True, index=True)
+    folder: Optional["Folder"] = Relationship(back_populates="flows")
 
     def to_record(self):
         serialized = self.model_dump()
@@ -128,14 +131,17 @@ class Flow(FlowBase, table=True):
 
 class FlowCreate(FlowBase):
     user_id: Optional[UUID] = None
+    folder_id: Optional[UUID] = None
 
 
 class FlowRead(FlowBase):
     id: UUID
     user_id: Optional[UUID] = Field()
+    folder_id: Optional[UUID] = Field()
 
 
 class FlowUpdate(SQLModel):
     name: Optional[str] = None
     description: Optional[str] = None
     data: Optional[Dict] = None
+    folder_id: Optional[UUID] = None
diff --git a/src/backend/base/langflow/services/database/models/folder/__init__.py b/src/backend/base/langflow/services/database/models/folder/__init__.py
new file mode 100644
index 000000000..e1d7e97b7
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/__init__.py
@@ -0,0 +1,3 @@
+from .model import Folder, FolderCreate, FolderRead, FolderUpdate
+
+__all__ = ["Folder", "FolderCreate", "FolderRead", "FolderUpdate"]
diff --git a/src/backend/base/langflow/services/database/models/folder/constants.py b/src/backend/base/langflow/services/database/models/folder/constants.py
new file mode 100644
index 000000000..df71e9edf
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/constants.py
@@ -0,0 +1,2 @@
+DEFAULT_FOLDER_DESCRIPTION = "Manage your personal projects. Download and upload entire collections."
+DEFAULT_FOLDER_NAME = "My Projects"
diff --git a/src/backend/base/langflow/services/database/models/folder/model.py b/src/backend/base/langflow/services/database/models/folder/model.py
new file mode 100644
index 000000000..a7a1c51d0
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/model.py
@@ -0,0 +1,55 @@
+from typing import TYPE_CHECKING, List, Optional
+from uuid import UUID, uuid4
+
+from sqlmodel import Field, Relationship, SQLModel
+
+from langflow.services.database.models.flow.model import FlowRead
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.flow.model import Flow
+    from langflow.services.database.models.user.model import User
+
+
+class FolderBase(SQLModel):
+    name: str = Field(index=True)
+    description: Optional[str] = Field(default=None)
+
+
+class Folder(FolderBase, table=True):
+    id: Optional[UUID] = Field(default_factory=uuid4, primary_key=True)
+    parent_id: Optional[UUID] = Field(default=None, foreign_key="folder.id")
+
+    parent: Optional["Folder"] = Relationship(
+        back_populates="children",
+        sa_relationship_kwargs=dict(remote_side="Folder.id"),
+    )
+    children: List["Folder"] = Relationship(back_populates="parent")
+    user_id: Optional[UUID] = Field(default=None, foreign_key="user.id")
+    user: "User" = Relationship(back_populates="folders")
+    flows: List["Flow"] = Relationship(
+        back_populates="folder", sa_relationship_kwargs={"cascade": "all, delete, delete-orphan"}
+    )
+
+
+class FolderCreate(FolderBase):
+    components_list: Optional[List[UUID]] = None
+    flows_list: Optional[List[UUID]] = None
+
+
+class FolderRead(FolderBase):
+    id: UUID
+    parent_id: Optional[UUID] = Field()
+
+
+class FolderReadWithFlows(FolderBase):
+    id: UUID
+    parent_id: Optional[UUID] = Field()
+    flows: List["FlowRead"] = Field(default=[])
+
+
+class FolderUpdate(SQLModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+    parent_id: Optional[UUID] = None
+    components: Optional[List[UUID]] = None
+    flows: Optional[List[UUID]] = None
diff --git a/src/backend/base/langflow/services/database/models/folder/utils.py b/src/backend/base/langflow/services/database/models/folder/utils.py
new file mode 100644
index 000000000..19f70819f
--- /dev/null
+++ b/src/backend/base/langflow/services/database/models/folder/utils.py
@@ -0,0 +1,26 @@
+from typing import TYPE_CHECKING
+from uuid import UUID
+
+from langflow.services.database.models.flow.model import Flow
+from sqlmodel import Session, select, update
+
+from .constants import DEFAULT_FOLDER_DESCRIPTION, DEFAULT_FOLDER_NAME
+from .model import Folder
+
+if TYPE_CHECKING:
+    from langflow.services.database.models.user.model import User
+
+
+def create_default_folder_if_it_doesnt_exist(session: Session, user_id: UUID):
+    if not session.exec(select(Folder).where(Folder.user_id == user_id)).first():
+        folder = Folder(name=DEFAULT_FOLDER_NAME, user_id=user_id, description=DEFAULT_FOLDER_DESCRIPTION)
+        session.add(folder)
+        session.commit()
+        session.refresh(folder)
+        session.exec(
+            update(Flow)
+            .where((Flow.folder_id == None) & (Flow.user_id == user_id))
+            .values(folder_id=folder.id)
+        )
+        session.commit()
+    return None
diff --git a/src/backend/base/langflow/services/database/models/user/model.py b/src/backend/base/langflow/services/database/models/user/model.py
index 491ae4efc..dfc978c27 100644
--- a/src/backend/base/langflow/services/database/models/user/model.py
+++ b/src/backend/base/langflow/services/database/models/user/model.py
@@ -8,6 +8,7 @@ if TYPE_CHECKING:
     from langflow.services.database.models.api_key import ApiKey
     from langflow.services.database.models.variable import Variable
     from langflow.services.database.models.flow import Flow
+    from langflow.services.database.models.folder import Folder
 
 
 class User(SQLModel, table=True):
@@ -30,6 +31,10 @@ class User(SQLModel, table=True):
         back_populates="user",
         sa_relationship_kwargs={"cascade": "delete"},
     )
+    folders: list["Folder"] = Relationship(
+        back_populates="user",
+        sa_relationship_kwargs={"cascade": "delete"},
+    )
 
 
 class UserCreate(SQLModel):
diff --git a/src/backend/base/langflow/services/monitor/schema.py b/src/backend/base/langflow/services/monitor/schema.py
index 80636a554..e7bc7a963 100644
--- a/src/backend/base/langflow/services/monitor/schema.py
+++ b/src/backend/base/langflow/services/monitor/schema.py
@@ -2,15 +2,16 @@ import json
 from datetime import datetime
 from typing import TYPE_CHECKING, Any, Optional
 
-from pydantic import BaseModel, Field, field_serializer, validator
+from pydantic import BaseModel, Field, field_serializer, field_validator
 
 if TYPE_CHECKING:
     from langflow.schema import Record
 
 
 class TransactionModel(BaseModel):
-    id: Optional[int] = Field(default=None, alias="id")
+    index: Optional[int] = Field(default=None)
     timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp")
+    flow_id: str
     source: str
     target: str
     target_args: dict
@@ -22,15 +23,53 @@ class TransactionModel(BaseModel):
         populate_by_name = True
 
     # validate target_args in case it is a JSON
-    @validator("target_args", pre=True)
+    @field_validator("target_args", mode="before")
     def validate_target_args(cls, v):
         if isinstance(v, str):
             return json.loads(v)
         return v
 
+    @field_serializer("target_args")
+    def serialize_target_args(v):
+        if isinstance(v, dict):
+            return json.dumps(v)
+        return v
+
+
+class TransactionModelResponse(BaseModel):
+    index: Optional[int] = Field(default=None)
+    timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp")
+    flow_id: str
+    source: str
+    target: str
+    target_args: dict
+    status: str
+    error: Optional[str] = None
+
+    class Config:
+        from_attributes = True
+        populate_by_name = True
+
+    # validate target_args in case it is a JSON
+    @field_validator("target_args", mode="before")
+    def validate_target_args(cls, v):
+        if isinstance(v, str):
+            return json.loads(v)
+        return v
+
+    @field_validator("index", mode="before")
+    def validate_id(cls, v):
+        if isinstance(v, float):
+            try:
+                return int(v)
+            except ValueError:
+                return None
+        return v
+
 
 class MessageModel(BaseModel):
-    id: Optional[int] = Field(default=None, alias="id")
+    index: Optional[int] = Field(default=None)
+    flow_id: Optional[str] = Field(default=None, alias="flow_id")
     timestamp: datetime = Field(default_factory=datetime.now)
     sender: str
     sender_name: str
@@ -42,14 +81,14 @@ class MessageModel(BaseModel):
         from_attributes = True
         populate_by_name = True
 
-    @validator("artifacts", pre=True)
+    @field_validator("artifacts", mode="before")
     def validate_target_args(cls, v):
         if isinstance(v, str):
             return json.loads(v)
         return v
 
     @classmethod
-    def from_record(cls, record: "Record"):
+    def from_record(cls, record: "Record", flow_id: Optional[str] = None):
         # first check if the record has all the required fields
         if not record.data or ("sender" not in record.data and "sender_name" not in record.data):
             raise ValueError("The record does not have the required fields 'sender' and 'sender_name' in the data.")
@@ -59,9 +98,30 @@ class MessageModel(BaseModel):
             message=record.text,
             session_id=record.session_id,
             artifacts=record.artifacts or {},
+            timestamp=record.timestamp,
+            flow_id=flow_id,
         )
 
 
+class MessageModelResponse(MessageModel):
+    index: Optional[int] = Field(default=None)
+
+    @field_validator("artifacts", mode="before")
+    def serialize_artifacts(v):
+        if isinstance(v, str):
+            return json.loads(v)
+        return v
+
+    @field_validator("index", mode="before")
+    def validate_id(cls, v):
+        if isinstance(v, float):
+            try:
+                return int(v)
+            except ValueError:
+                return None
+        return v
+
+
 class VertexBuildModel(BaseModel):
     index: Optional[int] = Field(default=None, alias="index", exclude=True)
     id: Optional[str] = Field(default=None, alias="id")
@@ -86,9 +146,11 @@ class VertexBuildModel(BaseModel):
                 elif isinstance(value, list) and all(isinstance(i, BaseModel) for i in value):
                     v[key] = [i.model_dump() for i in value]
             return json.dumps(v)
+        elif isinstance(v, BaseModel):
+            return v.model_dump_json()
         return v
 
-    @validator("params", pre=True)
+    @field_validator("params", mode="before")
     def validate_params(cls, v):
         if isinstance(v, str):
             try:
@@ -103,16 +165,18 @@ class VertexBuildModel(BaseModel):
             return json.dumps([i.model_dump() for i in v])
         return v
 
-    @validator("data", pre=True)
+    @field_validator("data", mode="before")
     def validate_data(cls, v):
         if isinstance(v, str):
             return json.loads(v)
         return v
 
-    @validator("artifacts", pre=True)
+    @field_validator("artifacts", mode="before")
     def validate_artifacts(cls, v):
         if isinstance(v, str):
             return json.loads(v)
+        elif isinstance(v, BaseModel):
+            return v.model_dump()
         return v
 
 
diff --git a/src/backend/base/langflow/services/monitor/service.py b/src/backend/base/langflow/services/monitor/service.py
index e3d56db52..7bf8b6e56 100644
--- a/src/backend/base/langflow/services/monitor/service.py
+++ b/src/backend/base/langflow/services/monitor/service.py
@@ -69,7 +69,7 @@ class MonitorService(Service):
         valid: Optional[bool] = None,
         order_by: Optional[str] = "timestamp",
     ):
-        query = "SELECT id, flow_id, valid, params, data, artifacts, timestamp FROM vertex_builds"
+        query = "SELECT index,flow_id, valid, params, data, artifacts, timestamp FROM vertex_builds"
         conditions = []
         if flow_id:
             conditions.append(f"flow_id = '{flow_id}'")
@@ -109,6 +109,7 @@ class MonitorService(Service):
 
     def get_messages(
         self,
+        flow_id: Optional[str] = None,
         sender: Optional[str] = None,
         sender_name: Optional[str] = None,
         session_id: Optional[str] = None,
@@ -116,7 +117,7 @@ class MonitorService(Service):
         order: Optional[str] = "DESC",
         limit: Optional[int] = None,
     ):
-        query = "SELECT sender_name, sender, session_id, message, artifacts, timestamp FROM messages"
+        query = "SELECT index, flow_id, sender_name, sender, session_id, message, artifacts, timestamp FROM messages"
         conditions = []
         if sender:
             conditions.append(f"sender = '{sender}'")
@@ -124,6 +125,8 @@ class MonitorService(Service):
             conditions.append(f"sender_name = '{sender_name}'")
         if session_id:
             conditions.append(f"session_id = '{session_id}'")
+        if flow_id:
+            conditions.append(f"flow_id = '{flow_id}'")
 
         if conditions:
             query += " WHERE " + " AND ".join(conditions)
@@ -146,8 +149,9 @@ class MonitorService(Service):
         target: Optional[str] = None,
         status: Optional[str] = None,
         order_by: Optional[str] = "timestamp",
+        flow_id: Optional[str] = None,
     ):
-        query = "SELECT source, target, target_args, status, error, timestamp FROM transactions"
+        query = "SELECT index,flow_id, source, target, target_args, status, error, timestamp FROM transactions"
         conditions = []
         if source:
             conditions.append(f"source = '{source}'")
@@ -155,6 +159,8 @@ class MonitorService(Service):
             conditions.append(f"target = '{target}'")
         if status:
             conditions.append(f"status = '{status}'")
+        if flow_id:
+            conditions.append(f"flow_id = '{flow_id}'")
 
         if conditions:
             query += " WHERE " + " AND ".join(conditions)
diff --git a/src/backend/base/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py
index 7b6948c1a..aec5ae0c6 100644
--- a/src/backend/base/langflow/services/monitor/utils.py
+++ b/src/backend/base/langflow/services/monitor/utils.py
@@ -61,7 +61,7 @@ def drop_and_create_table_if_schema_mismatch(db_path: str, table_name: str, mode
         if current_schema != desired_schema:
             # If they don't match, drop the existing table and create a new one
             conn.execute(f"DROP TABLE IF EXISTS {table_name}")
-            if "id" in desired_schema.keys():
+            if INDEX_KEY in desired_schema.keys():
                 # Create a sequence for the id column
                 try:
                     conn.execute(f"CREATE SEQUENCE seq_{table_name} START 1;")
@@ -91,7 +91,7 @@ def add_row_to_table(
     columns = ", ".join(keys)
 
     values_placeholders = ", ".join(["?" for _ in keys])
-    values = list(validated_dict.values())
+    values = [validated_dict[key] for key in keys]
 
     # Create the insert statement
     insert_sql = f"INSERT INTO {table_name} ({columns}) VALUES ({values_placeholders})"
@@ -104,7 +104,7 @@ def add_row_to_table(
         column_error_message = ""
         for key, value in validated_dict.items():
             logger.error(f"{key}: {type(value)}")
-            if value in str(e):
+            if str(value) in str(e):
                 column_error_message = f"Column: {key} Value: {value} Error: {e}"
 
         if column_error_message:
@@ -119,6 +119,7 @@ async def log_message(
     message: str,
     session_id: str,
     artifacts: Optional[dict] = None,
+    flow_id: Optional[str] = None,
 ):
     try:
         from langflow.graph.vertex.base import Vertex
@@ -134,6 +135,7 @@ async def log_message(
             "artifacts": artifacts or {},
             "session_id": session_id,
             "timestamp": monitor_service.get_timestamp(),
+            "flow_id": flow_id,
         }
         monitor_service.add_row(table_name="messages", data=row)
     except Exception as e:
diff --git a/src/backend/base/langflow/utils/schemas.py b/src/backend/base/langflow/utils/schemas.py
index 3e6f17a5a..fbbec2429 100644
--- a/src/backend/base/langflow/utils/schemas.py
+++ b/src/backend/base/langflow/utils/schemas.py
@@ -45,6 +45,12 @@ class ChatOutputResponse(BaseModel):
         return self
 
 
+class RecordOutputResponse(BaseModel):
+    """Record output response schema."""
+
+    records: List[Optional[Dict]]
+
+
 class ContainsEnumMeta(enum.EnumMeta):
     def __contains__(cls, item):
         try:
diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock
index 9d988cc83..23665d65f 100644
--- a/src/backend/base/poetry.lock
+++ b/src/backend/base/poetry.lock
@@ -131,13 +131,13 @@ tz = ["backports.zoneinfo"]
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
@@ -632,17 +632,20 @@ gmpy2 = ["gmpy2"]
 
 [[package]]
 name = "emoji"
-version = "2.11.1"
+version = "2.12.1"
 description = "Emoji for Python"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = ">=3.7"
 files = [
-    {file = "emoji-2.11.1-py2.py3-none-any.whl", hash = "sha256:b7ba25299bbf520cc8727848ae66b986da32aee27dc2887eaea2bff07226ce49"},
-    {file = "emoji-2.11.1.tar.gz", hash = "sha256:062ff0b3154b6219143f8b9f4b3e5c64c35bc2b146e6e2349ab5f29e218ce1ee"},
+    {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
+    {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
 ]
 
+[package.dependencies]
+typing-extensions = ">=4.7.0"
+
 [package.extras]
-dev = ["coverage", "coveralls", "pytest"]
+dev = ["coverage", "pytest (>=7.4.4)"]
 
 [[package]]
 name = "exceptiongroup"
@@ -1169,13 +1172,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.59"
+version = "0.1.60"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.59-py3-none-any.whl", hash = "sha256:445e3bc1d3baa1e5340cd979907a19483b9763a2ed37b863a01113d406f69345"},
-    {file = "langsmith-0.1.59.tar.gz", hash = "sha256:e748a89f4dd6aa441349143e49e546c03b5dfb43376a25bfef6a5ca792fe1437"},
+    {file = "langsmith-0.1.60-py3-none-any.whl", hash = "sha256:3c3520ea473de0a984237b3e9d638fdf23ef3acc5aec89a42e693225e72d6120"},
+    {file = "langsmith-0.1.60.tar.gz", hash = "sha256:6a145b5454437f9e0f81525f23c4dcdbb8c07b1c91553b8f697456c418d6a599"},
 ]
 
 [package.dependencies]
@@ -2329,13 +2332,13 @@ files = [
 
 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.2"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
-    {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
+    {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"},
+    {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"},
 ]
 
 [package.dependencies]
@@ -2583,13 +2586,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.20240406"
+version = "2.32.0.20240521"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.31.0.20240406.tar.gz", hash = "sha256:4428df33c5503945c74b3f42e82b181e86ec7b724620419a2966e2de604ce1a1"},
-    {file = "types_requests-2.31.0.20240406-py3-none-any.whl", hash = "sha256:6216cdac377c6b9a040ac1c0404f7284bd13199c0e1bb235f4324627e8898cf5"},
+    {file = "types-requests-2.32.0.20240521.tar.gz", hash = "sha256:c5c4a0ae95aad51f1bf6dae9eed04a78f7f2575d4b171da37b622e08b93eb5d3"},
+    {file = "types_requests-2.32.0.20240521-py3-none-any.whl", hash = "sha256:ab728ba43ffb073db31f21202ecb97db8753ded4a9dc49cb480d8a5350c5c421"},
 ]
 
 [package.dependencies]
diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml
index 06b62e126..6297fcabd 100644
--- a/src/backend/base/pyproject.toml
+++ b/src/backend/base/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow-base"
-version = "0.0.45"
+version = "0.0.46"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json
index c8ddc95ba..59e060c08 100644
--- a/src/frontend/package-lock.json
+++ b/src/frontend/package-lock.json
@@ -9,6 +9,7 @@
             "version": "0.1.2",
             "dependencies": {
                 "@headlessui/react": "^1.7.17",
+                "@hookform/resolvers": "^3.3.4",
                 "@million/lint": "^0.0.73",
                 "@radix-ui/react-accordion": "^1.1.2",
                 "@radix-ui/react-checkbox": "^1.0.4",
@@ -55,6 +56,7 @@
                 "react-cookie": "^4.1.1",
                 "react-dom": "^18.2.21",
                 "react-error-boundary": "^4.0.11",
+                "react-hook-form": "^7.51.4",
                 "react-icons": "^5.0.1",
                 "react-laag": "^2.0.5",
                 "react-markdown": "^8.0.7",
@@ -73,10 +75,11 @@
                 "uuid": "^9.0.0",
                 "vite-plugin-svgr": "^3.2.0",
                 "web-vitals": "^2.1.4",
+                "zod": "^3.23.7",
                 "zustand": "^4.4.7"
             },
             "devDependencies": {
-                "@playwright/test": "^1.43.1",
+                "@playwright/test": "^1.44.0",
                 "@swc/cli": "^0.1.62",
                 "@swc/core": "^1.3.80",
                 "@tailwindcss/typography": "^0.5.9",
@@ -107,6 +110,15 @@
                 "vite": "^4.5.2"
             }
         },
+        "node_modules/@aashutoshrathi/word-wrap": {
+            "version": "1.2.6",
+            "resolved": "https://registry.npmjs.org/@aashutoshrathi/word-wrap/-/word-wrap-1.2.6.tgz",
+            "integrity": "sha512-1Yjs2SvM8TflER/OD3cOjhWWOZb58A2t7wpE2S9XfBYTiIl+XFhQG2bjy4Pu1I+EAlCNUzRDYDdFwFYUKvXcIA==",
+            "dev": true,
+            "engines": {
+                "node": ">=0.10.0"
+            }
+        },
         "node_modules/@adobe/css-tools": {
             "version": "4.3.3",
             "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz",
@@ -171,20 +183,20 @@
             }
         },
         "node_modules/@babel/core": {
-            "version": "7.24.5",
-            "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz",
-            "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==",
+            "version": "7.24.4",
+            "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.4.tgz",
+            "integrity": "sha512-MBVlMXP+kkl5394RBLSxxk/iLTeVGuXTV3cIDXavPpMMqnSnt6apKgan/U8O3USWZCWZT/TbgfEpKa4uMgN4Dg==",
             "dependencies": {
                 "@ampproject/remapping": "^2.2.0",
                 "@babel/code-frame": "^7.24.2",
-                "@babel/generator": "^7.24.5",
+                "@babel/generator": "^7.24.4",
                 "@babel/helper-compilation-targets": "^7.23.6",
-                "@babel/helper-module-transforms": "^7.24.5",
-                "@babel/helpers": "^7.24.5",
-                "@babel/parser": "^7.24.5",
+                "@babel/helper-module-transforms": "^7.23.3",
+                "@babel/helpers": "^7.24.4",
+                "@babel/parser": "^7.24.4",
                 "@babel/template": "^7.24.0",
-                "@babel/traverse": "^7.24.5",
-                "@babel/types": "^7.24.5",
+                "@babel/traverse": "^7.24.1",
+                "@babel/types": "^7.24.0",
                 "convert-source-map": "^2.0.0",
                 "debug": "^4.1.0",
                 "gensync": "^1.0.0-beta.2",
@@ -200,11 +212,11 @@
             }
         },
         "node_modules/@babel/generator": {
-            "version": "7.24.5",
-            "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.5.tgz",
-            "integrity": "sha512-x32i4hEXvr+iI0NEoEfDKzlemF8AmtOP8CcrRaEcpzysWuoEb1KknpcvMsHKPONoKZiDuItklgWhB18xEhr9PA==",
+            "version": "7.24.4",
+            "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.4.tgz",
+            "integrity": "sha512-Xd6+v6SnjWVx/nus+y0l1sxMOTOMBkyL4+BIdbALyatQnAe/SRVjANeDPSCYaX+i1iJmuGSKf3Z+E+V/va1Hvw==",
             "dependencies": {
-                "@babel/types": "^7.24.5",
+                "@babel/types": "^7.24.0",
                 "@jridgewell/gen-mapping": "^0.3.5",
                 "@jridgewell/trace-mapping": "^0.3.25",
                 "jsesc": "^2.5.1"
@@ -271,15 +283,15 @@
             }
         },
         "node_modules/@babel/helper-module-transforms": {
-            "version": "7.24.5",
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-            "resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.18.20.tgz",
-            "integrity": "sha512-iO1c++VP6xUBUmltHZoMtCUdPlnPGdBom6IrO4gyKPFFVBKioIImVooR5I83nTew5UOYrk3gIJhbZh8X44y06A==",
-            "cpu": [
-                "x64"
-            ],
-            "optional": true,
-            "os": [
-                "netbsd"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
-        "node_modules/vite/node_modules/@esbuild/openbsd-x64": {
-            "version": "0.18.20",
-            "resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.18.20.tgz",
-            "integrity": "sha512-e5e4YSsuQfX4cxcygw/UCPIEP6wbIL+se3sxPdCiMbFLBWu0eiZOJ7WoD+ptCLrmjZBK1Wk7I6D/I3NglUGOxg==",
-            "cpu": [
-                "x64"
-            ],
-            "optional": true,
-            "os": [
-                "openbsd"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
-        "node_modules/vite/node_modules/@esbuild/sunos-x64": {
-            "version": "0.18.20",
-            "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.18.20.tgz",
-            "integrity": "sha512-kDbFRFp0YpTQVVrqUd5FTYmWo45zGaXe0X8E1G/LKFC0v8x0vWrhOWSLITcCn63lmZIxfOMXtCfti/RxN/0wnQ==",
-            "cpu": [
-                "x64"
-            ],
-            "optional": true,
-            "os": [
-                "sunos"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
-        "node_modules/vite/node_modules/@esbuild/win32-arm64": {
-            "version": "0.18.20",
-            "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.18.20.tgz",
-            "integrity": "sha512-ddYFR6ItYgoaq4v4JmQQaAI5s7npztfV4Ag6NrhiaW0RrnOXqBkgwZLofVTlq1daVTQNhtI5oieTvkRPfZrePg==",
-            "cpu": [
-                "arm64"
-            ],
-            "optional": true,
-            "os": [
-                "win32"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
-        "node_modules/vite/node_modules/@esbuild/win32-ia32": {
-            "version": "0.18.20",
-            "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.18.20.tgz",
-            "integrity": "sha512-Wv7QBi3ID/rROT08SABTS7eV4hX26sVduqDOTe1MvGMjNd3EjOz4b7zeexIR62GTIEKrfJXKL9LFxTYgkyeu7g==",
-            "cpu": [
-                "ia32"
-            ],
-            "optional": true,
-            "os": [
-                "win32"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
-        "node_modules/vite/node_modules/@esbuild/win32-x64": {
-            "version": "0.18.20",
-            "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.18.20.tgz",
-            "integrity": "sha512-kTdfRcSiDfQca/y9QIkng02avJ+NCaQvrMejlsB3RRv5sE9rRoeBPISaZpKxHELzRxZyLvNts1P27W3wV+8geQ==",
-            "cpu": [
-                "x64"
-            ],
-            "optional": true,
-            "os": [
-                "win32"
-            ],
-            "engines": {
-                "node": ">=12"
-            }
-        },
         "node_modules/vite/node_modules/esbuild": {
             "version": "0.18.20",
             "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.18.20.tgz",
@@ -13452,15 +12470,6 @@
                 "string-width": "^1.0.2 || 2 || 3 || 4"
             }
         },
-        "node_modules/word-wrap": {
-            "version": "1.2.5",
-            "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
-            "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
-            "dev": true,
-            "engines": {
-                "node": ">=0.10.0"
-            }
-        },
         "node_modules/wrap-ansi": {
             "version": "8.1.0",
             "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
@@ -13588,9 +12597,9 @@
             "devOptional": true
         },
         "node_modules/ws": {
-            "version": "8.17.0",
-            "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.0.tgz",
-            "integrity": "sha512-uJq6108EgZMAl20KagGkzCKfMEjxmKvZHG7Tlq0Z6nOky7YF7aq4mOx6xK8TJ/i1LeK4Qus7INktacctDgY8Ow==",
+            "version": "8.16.0",
+            "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz",
+            "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==",
             "engines": {
                 "node": ">=10.0.0"
             },
@@ -13642,9 +12651,9 @@
             "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
         },
         "node_modules/yaml": {
-            "version": "2.4.2",
-            "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz",
-            "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==",
+            "version": "2.4.1",
+            "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.1.tgz",
+            "integrity": "sha512-pIXzoImaqmfOrL7teGUBt/T7ZDnyeGBWyXQBvOVhLkWLN37GXv8NMLK406UY6dS51JfcQHsmcW5cJ441bHg6Lg==",
             "bin": {
                 "yaml": "bin.mjs"
             },
@@ -13665,9 +12674,9 @@
             }
         },
         "node_modules/zod": {
-            "version": "3.23.8",
-            "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
-            "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
+            "version": "3.23.7",
+            "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.7.tgz",
+            "integrity": "sha512-NBeIoqbtOiUMomACV/y+V3Qfs9+Okr18vR5c/5pHClPpufWOrsx8TENboDPe265lFdfewX2yBtNTLPvnmCxwog==",
             "funding": {
                 "url": "https://github.com/sponsors/colinhacks"
             }
diff --git a/src/frontend/package.json b/src/frontend/package.json
index d755b70b9..7950f2cf6 100644
--- a/src/frontend/package.json
+++ b/src/frontend/package.json
@@ -4,6 +4,7 @@
     "private": true,
     "dependencies": {
         "@headlessui/react": "^1.7.17",
+        "@hookform/resolvers": "^3.3.4",
         "@million/lint": "^0.0.73",
         "@radix-ui/react-accordion": "^1.1.2",
         "@radix-ui/react-checkbox": "^1.0.4",
@@ -50,6 +51,7 @@
         "react-cookie": "^4.1.1",
         "react-dom": "^18.2.21",
         "react-error-boundary": "^4.0.11",
+        "react-hook-form": "^7.51.4",
         "react-icons": "^5.0.1",
         "react-laag": "^2.0.5",
         "react-markdown": "^8.0.7",
@@ -68,6 +70,7 @@
         "uuid": "^9.0.0",
         "vite-plugin-svgr": "^3.2.0",
         "web-vitals": "^2.1.4",
+        "zod": "^3.23.7",
         "zustand": "^4.4.7"
     },
     "scripts": {
@@ -101,7 +104,7 @@
     },
     "proxy": "http://127.0.0.1:7860",
     "devDependencies": {
-        "@playwright/test": "^1.43.1",
+        "@playwright/test": "^1.44.0",
         "@swc/cli": "^0.1.62",
         "@swc/core": "^1.3.80",
         "@tailwindcss/typography": "^0.5.9",
diff --git a/src/frontend/src/App.css b/src/frontend/src/App.css
index 22a596730..a4ff01961 100644
--- a/src/frontend/src/App.css
+++ b/src/frontend/src/App.css
@@ -11,6 +11,13 @@ body {
   text-align: center;
 }
 
+.label {
+  user-select: none;
+  -webkit-user-select: none; /* Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none;
+}
+
 .react-flow__node {
   width: auto;
   height: auto;
@@ -76,6 +83,25 @@ body {
   height: 8px !important;
   border-radius: 10px;
 }
+*::-webkit-scrollbar {
+  width: 8px !important;
+  height: 8px !important;
+  border-radius: 10px;
+}
+
+::-webkit-scrollbar-track {
+  background-color: #f1f1f1 !important;
+  border-radius: 10px;
+}
+
+::-webkit-scrollbar-thumb {
+  background-color: #ccc !important;
+  border-radius: 999px !important;
+}
+
+::-webkit-scrollbar-thumb:hover {
+  background-color: #bbb !important;
+}
 
 .jv-indent::-webkit-scrollbar-track {
   background-color: #f1f1f1 !important;
@@ -111,3 +137,30 @@ body {
 .json-view-flow .json-view {
   background-color: #bbb !important;
 }
+
+.ag-body-horizontal-scroll-viewport,
+.ag-body-vertical-scroll-viewport {
+  cursor: auto;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar {
+  width: 8px;
+  height: 8px;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-track,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-track {
+  background-color: #f1f1f1;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb {
+  background-color: #ccc;
+  border-radius: 999px;
+}
+
+.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb:hover,
+.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb:hover {
+  background-color: #bbb;
+}
diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx
index 2d8fc3caa..0bb14af1e 100644
--- a/src/frontend/src/App.tsx
+++ b/src/frontend/src/App.tsx
@@ -19,6 +19,7 @@ import Router from "./routes";
 import useAlertStore from "./stores/alertStore";
 import { useDarkStore } from "./stores/darkStore";
 import useFlowsManagerStore from "./stores/flowsManagerStore";
+import { useFolderStore } from "./stores/foldersStore";
 import { useGlobalVariablesStore } from "./stores/globalVariables";
 import { useStoreStore } from "./stores/storeStore";
 import { useTypesStore } from "./stores/typesStore";
@@ -47,13 +48,13 @@ export default function App() {
   const setGlobalVariables = useGlobalVariablesStore(
     (state) => state.setGlobalVariables
   );
-  const setUnavailableFields = useGlobalVariablesStore(
-    (state) => state.setUnavaliableFields
-  );
   const checkHasStore = useStoreStore((state) => state.checkHasStore);
   const navigate = useNavigate();
   const dark = useDarkStore((state) => state.dark);
 
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const loadingFolders = useFolderStore((state) => state.loading);
+
   const [isLoadingHealth, setIsLoadingHealth] = useState(false);
 
   useEffect(() => {
@@ -76,7 +77,7 @@ export default function App() {
           setUserData(user);
           setAutoLogin(true);
           setLoading(false);
-          await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
+          fetchAllData();
         }
       })
       .catch(async (error) => {
@@ -84,7 +85,7 @@ export default function App() {
           setAutoLogin(false);
           if (isAuthenticated && !isLoginPage) {
             getUser();
-            await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
+            fetchAllData();
           } else {
             setLoading(false);
             useFlowsManagerStore.setState({ isLoading: false });
@@ -92,14 +93,21 @@ export default function App() {
         }
       });
 
-    /* 
-      Abort the request as it isn't needed anymore, the component being 
+    /*
+      Abort the request as it isn't needed anymore, the component being
       unmounted. It helps avoid, among other things, the well-known "can't
       perform a React state update on an unmounted component" warning.
     */
     return () => abortController.abort();
   }, []);
 
+  const fetchAllData = async () => {
+    setTimeout(async () => {
+      await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
+      getFoldersApi();
+    }, 1000);
+  };
+
   const fetchData = async () => {
     return new Promise<void>(async (resolve, reject) => {
       if (isAuthenticated) {
@@ -157,7 +165,7 @@ export default function App() {
     setFetchError(false);
     //This condition is necessary to avoid infinite loop on starter page when the application is not healthy
     if (isLoading === true && window.location.pathname === "/") {
-      navigate("/flows");
+      navigate("/all");
       window.location.reload();
     }
   };
@@ -184,7 +192,7 @@ export default function App() {
             ></FetchErrorComponent>
           }
 
-          {isLoading ? (
+          {isLoading || loadingFolders ? (
             <div className="loading-page-panel">
               <LoadingComponent remSize={50} />
             </div>
diff --git a/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx
new file mode 100644
index 000000000..d4fb95b5c
--- /dev/null
+++ b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx
@@ -0,0 +1,72 @@
+import { useState } from "react";
+import IconComponent from "../../../../components/genericIconComponent";
+import { AccordionComponentType } from "../../../../types/components";
+import {
+  Accordion,
+  AccordionContent,
+  AccordionItem,
+  AccordionTrigger,
+} from "../../../ui/custom-accordion";
+
+export default function FolderAccordionComponent({
+  trigger,
+  open = [],
+  keyValue,
+  options,
+}: AccordionComponentType): JSX.Element {
+  const [value, setValue] = useState(
+    open.length === 0 ? "" : getOpenAccordion(),
+  );
+
+  function getOpenAccordion(): string {
+    let value = "";
+    open.forEach((el) => {
+      if (el == trigger) {
+        value = trigger;
+      }
+    });
+
+    return value;
+  }
+
+  function handleClick(): void {
+    value === "" ? setValue(keyValue!) : setValue("");
+  }
+
+  return (
+    <>
+      <Accordion
+        type="single"
+        className="w-full"
+        value={value}
+        onValueChange={setValue}
+      >
+        <AccordionItem value={keyValue!} className="">
+          <AccordionTrigger
+            onClick={() => {
+              handleClick();
+            }}
+            className="px-2"
+          >
+            {trigger}
+          </AccordionTrigger>
+          <AccordionContent>
+            {options!.map((option, index) => (
+              <div
+                key={index}
+                className="flex cursor-pointer px-2 py-1 hover:bg-muted-foreground/10"
+              >
+                <IconComponent
+                  name={option.icon}
+                  className="relative top-[1.5px] mr-2 h-4 w-4"
+                  aria-hidden="true"
+                />
+                <span className="truncate">{option.title}</span>
+              </div>
+            ))}
+          </AccordionContent>
+        </AccordionItem>
+      </Accordion>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
index 25a45bd28..f54997e19 100644
--- a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
+++ b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
@@ -130,8 +130,8 @@ export default function AddNewVariableButton({ children }): JSX.Element {
           <InputComponent
             setSelectedOptions={(value) => setFields(value)}
             selectedOptions={fields}
-            password={false}
             options={availableFields()}
+            password={false}
             placeholder="Choose a field for the variable..."
             id={"apply-to-fields"}
           ></InputComponent>
diff --git a/src/frontend/src/components/arrayReaderComponent/index.tsx b/src/frontend/src/components/arrayReaderComponent/index.tsx
new file mode 100644
index 000000000..bcbfde010
--- /dev/null
+++ b/src/frontend/src/components/arrayReaderComponent/index.tsx
@@ -0,0 +1,12 @@
+export default function ArrayReader({ array }: { array: any[] }): JSX.Element {
+  //TODO check array type
+  return (
+    <div>
+      <ul>
+        {array.map((item, index) => (
+          <li key={index}>{item}</li>
+        ))}
+      </ul>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx b/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx
new file mode 100644
index 000000000..e4425c61c
--- /dev/null
+++ b/src/frontend/src/components/cardComponent/components/dragCardComponent/index.tsx
@@ -0,0 +1,39 @@
+import { storeComponent } from "../../../../types/store";
+import { cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import ShadTooltip from "../../../shadTooltipComponent";
+import { Card, CardHeader, CardTitle } from "../../../ui/card";
+
+export default function DragCardComponent({ data }: { data: storeComponent }) {
+  return (
+    <>
+      <Card
+        draggable
+        //TODO check color schema
+        className={cn(
+          "group relative flex flex-col justify-between overflow-hidden transition-all hover:bg-muted/50 hover:shadow-md hover:dark:bg-[#ffffff10]",
+        )}
+      >
+        <div>
+          <CardHeader>
+            <div>
+              <CardTitle className="flex w-full items-start justify-between gap-3 text-xl">
+                <ForwardedIconComponent
+                  className={cn(
+                    "visible flex-shrink-0",
+                    data.is_component
+                      ? "mx-0.5 h-6 w-6 text-component-icon"
+                      : "h-7 w-7 flex-shrink-0 text-flow-icon",
+                  )}
+                  name={data.is_component ? "ToyBrick" : "Group"}
+                />
+
+                <div className="w-full truncate pr-3">{data.name}</div>
+              </CardTitle>
+            </div>
+          </CardHeader>
+        </div>
+      </Card>
+    </>
+  );
+}
diff --git a/src/frontend/src/components/cardComponent/index.tsx b/src/frontend/src/components/cardComponent/index.tsx
index d2ae3b405..d113a9b42 100644
--- a/src/frontend/src/components/cardComponent/index.tsx
+++ b/src/frontend/src/components/cardComponent/index.tsx
@@ -1,4 +1,6 @@
 import { useEffect, useState } from "react";
+import { createRoot } from "react-dom/client";
+import { Control } from "react-hook-form";
 import { getComponent, postLikeComponent } from "../../controllers/API";
 import IOModal from "../../modals/IOModal";
 import DeleteConfirmationModal from "../../modals/deleteConfirmationModal";
@@ -22,7 +24,10 @@ import {
   CardHeader,
   CardTitle,
 } from "../ui/card";
+import { Checkbox } from "../ui/checkbox";
+import { FormControl, FormField } from "../ui/form";
 import Loading from "../ui/loading";
+import DragCardComponent from "./components/dragCardComponent";
 
 export default function CollectionCardComponent({
   data,
@@ -32,6 +37,8 @@ export default function CollectionCardComponent({
   onClick,
   onDelete,
   playground,
+  control,
+  is_component,
 }: {
   data: storeComponent;
   authorized?: boolean;
@@ -40,6 +47,8 @@ export default function CollectionCardComponent({
   button?: JSX.Element;
   playground?: boolean;
   onDelete?: () => void;
+  control?: Control<any, any>;
+  is_component?: boolean;
 }) {
   const addFlow = useFlowsManagerStore((state) => state.addFlow);
   const setSuccessData = useAlertStore((state) => state.setSuccessData);
@@ -69,6 +78,10 @@ export default function CollectionCardComponent({
   );
   const [loadingPlayground, setLoadingPlayground] = useState(false);
 
+  const selectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.selectedFlowsComponentsCards
+  );
+
   const name = data.is_component ? "Component" : "Flow";
 
   async function getFlowData() {
@@ -82,7 +95,6 @@ export default function CollectionCardComponent({
       return false;
     }
     const { inputs, outputs } = getInputsAndOutputs(flow?.data?.nodes ?? []);
-    console.log(inputs, outputs);
     return inputs.length > 0 || outputs.length > 0;
   }
 
@@ -177,36 +189,59 @@ export default function CollectionCardComponent({
     }
   }
 
+  const isSelectedCard =
+    selectedFlowsComponentsCards?.includes(data?.id) ?? false;
+
+  function onDragStart(event: React.DragEvent<any>) {
+    let image: JSX.Element = <DragCardComponent data={data} />; // <== whatever you want here
+
+    var ghost = document.createElement("div");
+    ghost.style.transform = "translate(-10000px, -10000px)";
+    ghost.style.position = "absolute";
+    document.body.appendChild(ghost);
+    event.dataTransfer.setDragImage(ghost, 0, 0);
+    const root = createRoot(ghost);
+    root.render(image);
+    const flow = getFlowById(data.id);
+    if (flow) {
+      event.dataTransfer.setData("flow", JSON.stringify(data));
+    }
+  }
+
   return (
     <>
       <Card
+        onDragStart={onDragStart}
+        draggable
         data-testid={`card-${convertTestName(data.name)}`}
         //TODO check color schema
         className={cn(
           "group relative flex min-h-[11rem] flex-col justify-between overflow-hidden transition-all hover:bg-muted/50 hover:shadow-md hover:dark:bg-[#ffffff10]",
           disabled ? "pointer-events-none opacity-50" : "",
-          onClick ? "cursor-pointer" : ""
+          onClick ? "cursor-pointer" : "",
+          isSelectedCard ? "border border-selected" : ""
         )}
         onClick={onClick}
       >
         <div>
           <CardHeader>
             <div>
-              <CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
+              <CardTitle className="flex w-full items-start justify-between gap-3 text-xl">
                 <IconComponent
                   className={cn(
-                    "flex-shrink-0",
+                    "visible flex-shrink-0",
                     data.is_component
                       ? "mx-0.5 h-6 w-6 text-component-icon"
                       : "h-7 w-7 flex-shrink-0 text-flow-icon"
                   )}
                   name={data.is_component ? "ToyBrick" : "Group"}
                 />
+
                 <ShadTooltip content={data.name}>
-                  <div className="w-full truncate">{data.name}</div>
+                  <div className="w-full truncate pr-3">{data.name}</div>
                 </ShadTooltip>
                 {data?.metadata !== undefined && (
-                  <div className="flex gap-3">
+                  <div className="flex items-center gap-3">
                     {data.private && (
                       <ShadTooltip content="Private">
                         <span className="flex items-center gap-1.5 text-xs text-muted-foreground">
@@ -249,19 +284,29 @@ export default function CollectionCardComponent({
                   </div>
                 )}
 
-                {onDelete && data?.metadata === undefined && (
-                  <button
-                    className="z-50"
+                {control && (
+                  <div
+                    className="flex"
                     onClick={(e) => {
                       e.stopPropagation();
-                      setOpenDelete(true);
                     }}
                   >
-                    <IconComponent
-                      name="Trash2"
-                      className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
+                    <FormField
+                      control={control}
+                      name={`${data.id}`}
+                      defaultValue={false}
+                      render={({ field }) => (
+                        <FormControl>
+                          <Checkbox
+                            aria-label="checkbox-component"
+                            checked={field.value}
+                            onCheckedChange={field.onChange}
+                            className="h-5 w-5 border border-ring data-[state=checked]:border-selected data-[state=checked]:bg-selected"
+                          />
+                        </FormControl>
+                      )}
                     />
-                  </button>
+                  </div>
                 )}
               </CardTitle>
             </div>
@@ -368,11 +413,7 @@ export default function CollectionCardComponent({
                         authorized ? "Delete" : "Please review your API key."
                       }
                     >
-                      <DeleteConfirmationModal
-                        onConfirm={() => {
-                          onDelete();
-                        }}
-                      >
+                      <DeleteConfirmationModal onConfirm={onDelete}>
                         <Button
                           variant="ghost"
                           size="icon"
@@ -540,6 +581,7 @@ export default function CollectionCardComponent({
           onConfirm={() => {
             if (onDelete) onDelete();
           }}
+          description={` ${is_component ? "component" : "flow"}`}
         >
           <></>
         </DeleteConfirmationModal>
diff --git a/src/frontend/src/components/cardsWrapComponent/index.tsx b/src/frontend/src/components/cardsWrapComponent/index.tsx
index f84abbb8b..0de3f1a2f 100644
--- a/src/frontend/src/components/cardsWrapComponent/index.tsx
+++ b/src/frontend/src/components/cardsWrapComponent/index.tsx
@@ -1,5 +1,6 @@
-import { useState } from "react";
+import { useEffect, useState } from "react";
 import IconComponent from "../../components/genericIconComponent";
+import { cn } from "../../utils/utils";
 
 export default function CardsWrapComponent({
   onFileDrop,
@@ -11,6 +12,23 @@ export default function CardsWrapComponent({
   dragMessage?: string;
 }) {
   const [isDragging, setIsDragging] = useState(false);
+  useEffect(() => {
+    // Function to handle visibility change
+    const handleVisibilityChange = () => {
+      if (document.visibilityState === "visible") {
+        // Reset hover state or perform any necessary actions when the tab becomes visible again
+        setIsDragging(false);
+      }
+    };
+
+    // Add event listener for visibility change
+    document.addEventListener("visibilitychange", handleVisibilityChange);
+
+    // Cleanup event listener on component unmount
+    return () => {
+      document.removeEventListener("visibilitychange", handleVisibilityChange);
+    };
+  }, []);
 
   const dragOver = (e) => {
     e.preventDefault();
@@ -43,12 +61,12 @@ export default function CardsWrapComponent({
       onDragEnter={dragEnter}
       onDragLeave={dragLeave}
       onDrop={onDrop}
-      className={
-        "h-full w-full " +
-        (isDragging
-          ? "mb-24 flex flex-col items-center justify-center gap-4 text-2xl font-light"
-          : "")
-      }
+      className={cn(
+        "h-full w-full",
+        isDragging
+          ? "mb-36 flex flex-col items-center justify-center gap-4 text-2xl font-light"
+          : ""
+      )}
     >
       {isDragging ? (
         <>
diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx
index b456e59b7..1fa82e9dd 100644
--- a/src/frontend/src/components/chatComponent/index.tsx
+++ b/src/frontend/src/components/chatComponent/index.tsx
@@ -15,8 +15,8 @@ export default function FlowToolbar(): JSX.Element {
   const hasIO = useFlowStore((state) => state.hasIO);
   const hasStore = useStoreStore((state) => state.hasStore);
   const validApiKey = useStoreStore((state) => state.validApiKey);
-  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
   const hasApiKey = useStoreStore((state) => state.hasApiKey);
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
 
   useEffect(() => {
     const handleKeyDown = (event: KeyboardEvent) => {
diff --git a/src/frontend/src/components/codeAreaComponent/index.tsx b/src/frontend/src/components/codeAreaComponent/index.tsx
index dd68e774a..cd8a0f77d 100644
--- a/src/frontend/src/components/codeAreaComponent/index.tsx
+++ b/src/frontend/src/components/codeAreaComponent/index.tsx
@@ -18,7 +18,7 @@ export default function CodeAreaComponent({
   setOpen,
 }: CodeAreaComponentType) {
   const [myValue, setMyValue] = useState(
-    typeof value == "string" ? value : JSON.stringify(value)
+    typeof value == "string" ? value : JSON.stringify(value),
   );
   useEffect(() => {
     if (disabled && myValue !== "") {
diff --git a/src/frontend/src/components/csvOutputComponent/index.tsx b/src/frontend/src/components/csvOutputComponent/index.tsx
index 6460efbac..a25cfb679 100644
--- a/src/frontend/src/components/csvOutputComponent/index.tsx
+++ b/src/frontend/src/components/csvOutputComponent/index.tsx
@@ -1,7 +1,6 @@
 import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
 import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid
-import { AgGridReact } from "ag-grid-react";
-import { useCallback, useEffect, useMemo, useState } from "react";
+import { useEffect, useMemo, useState } from "react";
 import {
   CSVError,
   CSVNoDataError,
@@ -11,6 +10,7 @@ import { useDarkStore } from "../../stores/darkStore";
 import { FlowPoolObjectType } from "../../types/chat";
 import { NodeType } from "../../types/flow";
 import ForwardedIconComponent from "../genericIconComponent";
+import TableComponent from "../tableComponent";
 import Loading from "../ui/loading";
 import { convertCSVToData } from "./helpers/convert-data-function";
 
@@ -54,8 +54,6 @@ function CsvOutputComponent({
   const [colDefs, setColDefs] = useState([]);
 
   const [status, setStatus] = useState("loading");
-  var currentRowHeight: number;
-  var minRowHeight = 25;
   const defaultColDef = useMemo(() => {
     return {
       width: 200,
@@ -82,48 +80,6 @@ function CsvOutputComponent({
     }
   }, [separator]);
 
-  const getRowHeight = useCallback(() => {
-    return currentRowHeight;
-  }, []);
-
-  const onGridReady = useCallback((params: any) => {
-    minRowHeight = params.api.getSizesForCurrentTheme().rowHeight;
-    currentRowHeight = minRowHeight;
-  }, []);
-
-  const updateRowHeight = (params: { api: any }) => {
-    const bodyViewport = document.querySelector(".ag-body-viewport");
-    if (!bodyViewport) {
-      return;
-    }
-    var gridHeight = bodyViewport.clientHeight;
-    var renderedRowCount = params.api.getDisplayedRowCount();
-
-    if (renderedRowCount * minRowHeight >= gridHeight) {
-      if (currentRowHeight !== minRowHeight) {
-        currentRowHeight = minRowHeight;
-        params.api.resetRowHeights();
-      }
-    } else {
-      currentRowHeight = Math.floor(gridHeight / renderedRowCount);
-      params.api.resetRowHeights();
-    }
-  };
-
-  const onFirstDataRendered = useCallback(
-    (params: any) => {
-      updateRowHeight(params);
-    },
-    [updateRowHeight]
-  );
-
-  const onGridSizeChanged = useCallback(
-    (params: any) => {
-      updateRowHeight(params);
-    },
-    [updateRowHeight]
-  );
-
   return (
     <div className=" h-full rounded-md border bg-muted">
       {status === "nodata" && (
@@ -158,14 +114,10 @@ function CsvOutputComponent({
           className={`${dark ? "ag-theme-balham-dark" : "ag-theme-balham"}`}
           style={{ height: "100%", width: "100%" }}
         >
-          <AgGridReact
+          <TableComponent
             rowData={rowData}
             columnDefs={colDefs}
             defaultColDef={defaultColDef}
-            getRowHeight={getRowHeight}
-            onGridReady={onGridReady}
-            onFirstDataRendered={onFirstDataRendered}
-            onGridSizeChanged={onGridSizeChanged}
             scrollbarWidth={8}
             overlayNoRowsTemplate="No data available"
           />
diff --git a/src/frontend/src/components/dateReaderComponent/index.tsx b/src/frontend/src/components/dateReaderComponent/index.tsx
new file mode 100644
index 000000000..81c352f5a
--- /dev/null
+++ b/src/frontend/src/components/dateReaderComponent/index.tsx
@@ -0,0 +1,21 @@
+export default function DateReader({
+  date: dateString,
+}: {
+  date: string;
+}): JSX.Element {
+  const date = new Date(dateString);
+
+  const year = date.getFullYear();
+  const month = String(date.getMonth() + 1).padStart(2, "0"); // Months are 0-indexed in JavaScript
+  const day = String(date.getDate()).padStart(2, "0");
+
+  const hours = date.getHours();
+  const minutes = String(date.getMinutes()).padStart(2, "0");
+
+  const ampm = hours >= 12 ? "PM" : "AM";
+  const hours12 = hours > 12 ? hours - 12 : hours === 0 ? 12 : hours; // Convert to 12-hour format
+
+  const formattedDate = `${year}-${month}-${day} ${hours12}:${minutes} ${ampm}`;
+
+  return <span>{formattedDate}</span>;
+}
diff --git a/src/frontend/src/components/dropdownComponent/index.tsx b/src/frontend/src/components/dropdownComponent/index.tsx
index bff138681..8402d166e 100644
--- a/src/frontend/src/components/dropdownComponent/index.tsx
+++ b/src/frontend/src/components/dropdownComponent/index.tsx
@@ -59,7 +59,7 @@ export default function Dropdown({
                       ? "dropdown-component-outline"
                       : "dropdown-component-false-outline",
                     "w-full justify-between font-normal",
-                    editNode ? "input-edit-node" : "py-2"
+                    editNode ? "input-edit-node" : "py-2",
                   )}
                 >
                   <span data-testid={`value-dropdown-` + id}>
@@ -107,7 +107,7 @@ export default function Dropdown({
                           name="Check"
                           className={cn(
                             "ml-auto h-4 w-4 text-primary",
-                            value === option ? "opacity-100" : "opacity-0"
+                            value === option ? "opacity-100" : "opacity-0",
                           )}
                         />
                       </CommandItem>
diff --git a/src/frontend/src/components/genericIconComponent/index.tsx b/src/frontend/src/components/genericIconComponent/index.tsx
index f4e6a49d6..9f7c687a1 100644
--- a/src/frontend/src/components/genericIconComponent/index.tsx
+++ b/src/frontend/src/components/genericIconComponent/index.tsx
@@ -7,7 +7,7 @@ import Loading from "../ui/loading";
 
 import { useEffect, useState } from "react";
 
-const ForwardedIconComponent = memo(
+export const ForwardedIconComponent = memo(
   forwardRef(
     (
       {
@@ -18,7 +18,7 @@ const ForwardedIconComponent = memo(
         strokeWidth,
         id = "",
       }: IconComponentProps,
-      ref
+      ref,
     ) => {
       const [showFallback, setShowFallback] = useState(false);
 
@@ -65,8 +65,8 @@ const ForwardedIconComponent = memo(
           />
         </Suspense>
       );
-    }
-  )
+    },
+  ),
 );
 
 export default ForwardedIconComponent;
diff --git a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
index 85a586b16..b5a115e1e 100644
--- a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
+++ b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx
@@ -12,6 +12,7 @@ import { Node } from "reactflow";
 import { UPLOAD_ERROR_ALERT } from "../../../../constants/alerts_constants";
 import { SAVED_HOVER } from "../../../../constants/constants";
 import ExportModal from "../../../../modals/exportModal";
+import FlowLogsModal from "../../../../modals/flowLogsModal";
 import FlowSettingsModal from "../../../../modals/flowSettingsModal";
 import useAlertStore from "../../../../stores/alertStore";
 import useFlowStore from "../../../../stores/flowStore";
@@ -34,6 +35,7 @@ export const MenuBar = ({
   const redo = useFlowsManagerStore((state) => state.redo);
   const saveLoading = useFlowsManagerStore((state) => state.saveLoading);
   const [openSettings, setOpenSettings] = useState(false);
+  const [openLogs, setOpenLogs] = useState(false);
   const nodes = useFlowStore((state) => state.nodes);
   const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
   const navigate = useNavigate();
@@ -123,6 +125,18 @@ export const MenuBar = ({
               />
               Settings
             </DropdownMenuItem>
+            <DropdownMenuItem
+              onClick={() => {
+                setOpenLogs(true);
+              }}
+              className="cursor-pointer"
+            >
+              <IconComponent
+                name="ScrollText"
+                className="header-menu-options "
+              />
+              Logs
+            </DropdownMenuItem>
             <DropdownMenuItem
               className="cursor-pointer"
               onClick={() => {
@@ -132,7 +146,7 @@ export const MenuBar = ({
                       title: UPLOAD_ERROR_ALERT,
                       list: [error],
                     });
-                  }
+                  },
                 );
               }}
             >
@@ -194,6 +208,7 @@ export const MenuBar = ({
           open={openSettings}
           setOpen={setOpenSettings}
         ></FlowSettingsModal>
+        <FlowLogsModal open={openLogs} setOpen={setOpenLogs}></FlowLogsModal>
       </div>
       {(currentFlow.updated_at || saveLoading) && (
         <ShadTooltip
@@ -213,7 +228,7 @@ export const MenuBar = ({
               name={isBuilding || saveLoading ? "Loader2" : "CheckCircle2"}
               className={cn(
                 "h-4 w-4",
-                isBuilding || saveLoading ? "animate-spin" : "animate-wiggle"
+                isBuilding || saveLoading ? "animate-spin" : "animate-wiggle",
               )}
             />
             {printByBuildStatus()}
diff --git a/src/frontend/src/components/headerComponent/index.tsx b/src/frontend/src/components/headerComponent/index.tsx
index bc2537ea2..2467fdcfe 100644
--- a/src/frontend/src/components/headerComponent/index.tsx
+++ b/src/frontend/src/components/headerComponent/index.tsx
@@ -59,7 +59,7 @@ export default function Header(): JSX.Element {
           <Button
             className="gap-2"
             variant={
-              location.pathname === "/flows" ||
+              location.pathname === "/all" ||
               location.pathname === "/components"
                 ? "primary"
                 : "secondary"
@@ -73,18 +73,7 @@ export default function Header(): JSX.Element {
             <div className="hidden flex-1 md:block">{USER_PROJECTS_HEADER}</div>
           </Button>
         </Link>
-        {/* <Link to="/community">
-          <Button
-            className="gap-2"
-            variant={
-              location.pathname === "/community" ? "primary" : "secondary"
-            }
-            size="sm"
-          >
-            <IconComponent name="Users2" className="h-4 w-4" />
-            <div className="flex-1">Community Examples</div>
-          </Button>
-        </Link> */}
+
         {hasStore && (
           <Link to="/store">
             <Button
diff --git a/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx b/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx
new file mode 100644
index 000000000..e0bf48917
--- /dev/null
+++ b/src/frontend/src/components/horizontalScrollFadeComponent/index.tsx
@@ -0,0 +1,61 @@
+import { useEffect, useRef, useState } from "react";
+
+export default function HorizontalScrollFadeComponent({
+  children,
+  isFolder = true,
+}) {
+  const scrollContainerRef = useRef<HTMLDivElement>(null);
+  const fadeContainerRef = useRef<HTMLDivElement>(null);
+  const [divWidth, setDivWidth] = useState<number>(0);
+
+  useEffect(() => {
+    const handleResize = () => {
+      if (scrollContainerRef.current) {
+        setDivWidth(scrollContainerRef.current.clientWidth);
+      }
+    };
+
+    window.addEventListener("resize", handleResize);
+    handleResize(); // call the function at start to get the initial width
+    return () => window.removeEventListener("resize", handleResize);
+  }, []);
+
+  useEffect(() => {
+    const handleScroll = () => {
+      if (!scrollContainerRef.current || !fadeContainerRef.current) return;
+
+      const { scrollLeft, scrollWidth, clientWidth } =
+        scrollContainerRef.current;
+      const atStart = scrollLeft === 0;
+      const atEnd = scrollLeft === scrollWidth - clientWidth;
+      const isScrollable = scrollWidth > clientWidth;
+
+      fadeContainerRef.current.classList.toggle(
+        "fade-left",
+        isScrollable && !atStart,
+      );
+      fadeContainerRef.current.classList.toggle(
+        "fade-right",
+        isScrollable && !atEnd,
+      );
+    };
+
+    const scrollContainer = scrollContainerRef.current;
+    if (scrollContainer) {
+      scrollContainer.addEventListener("scroll", handleScroll);
+      // Delay the initial scroll event dispatch to ensure correct calculation
+      scrollContainer.dispatchEvent(new Event("scroll"));
+      return () => scrollContainer.removeEventListener("scroll", handleScroll);
+    }
+  }, [divWidth, children]); // Depend on divWidth
+
+  return isFolder ? (
+    <div className="hidden w-full flex-col gap-2 lg:flex">{children}</div>
+  ) : (
+    <div ref={fadeContainerRef} className="fade-container flex">
+      <div ref={scrollContainerRef} className="scroll-container flex gap-2">
+        {children}
+      </div>
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/inputComponent/components/popover/index.tsx b/src/frontend/src/components/inputComponent/components/popover/index.tsx
new file mode 100644
index 000000000..b55474a1a
--- /dev/null
+++ b/src/frontend/src/components/inputComponent/components/popover/index.tsx
@@ -0,0 +1,192 @@
+import { PopoverAnchor } from "@radix-ui/react-popover";
+import useAlertStore from "../../../../stores/alertStore";
+import { classNames, cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import {
+  Command,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "../../../ui/command";
+import { Input } from "../../../ui/input";
+import { Popover, PopoverContentWithoutPortal } from "../../../ui/popover";
+const CustomInputPopover = ({
+  id,
+  refInput,
+  onInputLostFocus,
+  selectedOption,
+  setSelectedOption,
+  selectedOptions,
+  setSelectedOptions,
+  value,
+  autoFocus,
+  disabled,
+  setShowOptions,
+  required,
+  className,
+  password,
+  pwdVisible,
+  editNode,
+  placeholder,
+  onChange,
+  blurOnEnter,
+  options,
+  optionsPlaceholder,
+  optionButton,
+  optionsButton,
+  handleKeyDown,
+  showOptions,
+}) => {
+  const setErrorData = useAlertStore.getState().setErrorData;
+
+  const handleInputChange = (e) => {
+    if (password) {
+      if (
+        e.target.value.split("").every((char) => char === "•") &&
+        e.target.value !== ""
+      ) {
+        setErrorData({
+          title: `Invalid characters: ${e.target.value}`,
+          list: [
+            "It seems you are trying to paste a password. Make sure the value is visible before copying from another field.",
+          ],
+        });
+      }
+    }
+    onChange && onChange(e.target.value);
+  };
+  return (
+    <Popover modal open={showOptions} onOpenChange={setShowOptions}>
+      <PopoverAnchor>
+        <Input
+          id={id}
+          ref={refInput}
+          type="text"
+          onBlur={onInputLostFocus}
+          value={
+            (selectedOption !== "" || !onChange) && setSelectedOption
+              ? selectedOption
+              : (selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions
+              ? selectedOptions?.join(", ")
+              : value
+          }
+          autoFocus={autoFocus}
+          disabled={disabled}
+          onClick={() => {
+            (((selectedOption !== "" || !onChange) && setSelectedOption) ||
+              ((selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions)) &&
+              setShowOptions(true);
+          }}
+          required={required}
+          className={classNames(
+            password &&
+              (!setSelectedOption || selectedOption === "") &&
+              !pwdVisible &&
+              value !== ""
+              ? " text-clip password "
+              : "",
+            editNode ? " input-edit-node " : "",
+            password && (setSelectedOption || setSelectedOptions)
+              ? "pr-[62.9px]"
+              : "",
+            (!password && (setSelectedOption || setSelectedOptions)) ||
+              (password && !(setSelectedOption || setSelectedOptions))
+              ? "pr-8"
+              : "",
+            className!
+          )}
+          placeholder={password && editNode ? "Key" : placeholder}
+          onChange={handleInputChange}
+          onKeyDown={(e) => {
+            handleKeyDown(e);
+            if (blurOnEnter && e.key === "Enter") refInput.current?.blur();
+          }}
+          data-testid={editNode ? id + "-edit" : id}
+        />
+      </PopoverAnchor>
+      <PopoverContentWithoutPortal
+        className="nocopy nopan nodelete nodrag noundo p-0"
+        style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
+        side="bottom"
+        align="center"
+      >
+        <Command
+          filter={(value, search) => {
+            if (
+              value.toLowerCase().includes(search.toLowerCase()) ||
+              value.includes("doNotFilter-")
+            )
+              return 1;
+            return 0;
+          }}
+        >
+          <CommandInput placeholder={optionsPlaceholder} />
+          <CommandList>
+            <CommandGroup defaultChecked={false}>
+              {options.map((option, id) => (
+                <CommandItem
+                  className="group"
+                  key={option + id}
+                  value={option}
+                  onSelect={(currentValue) => {
+                    setSelectedOption &&
+                      setSelectedOption(
+                        currentValue === selectedOption ? "" : currentValue
+                      );
+                    setSelectedOptions &&
+                      setSelectedOptions(
+                        selectedOptions?.includes(currentValue)
+                          ? selectedOptions.filter(
+                              (item) => item !== currentValue
+                            )
+                          : [...selectedOptions, currentValue]
+                      );
+                    !setSelectedOptions && setShowOptions(false);
+                  }}
+                >
+                  <div className="group flex w-full items-center justify-between">
+                    <div className="flex items-center">
+                      <div
+                        className={cn(
+                          "relative mr-2 h-4 w-4",
+                          selectedOption === option ||
+                            selectedOptions?.includes(option)
+                            ? "opacity-100"
+                            : "opacity-0"
+                        )}
+                      >
+                        <div className="absolute opacity-100 transition-all group-hover:opacity-0">
+                          <ForwardedIconComponent
+                            name="Check"
+                            className="mr-2 h-4 w-4 text-primary"
+                            aria-hidden="true"
+                          />
+                        </div>
+                        <div className="absolute opacity-0 transition-all group-hover:opacity-100">
+                          <ForwardedIconComponent
+                            name="X"
+                            className="mr-2 h-4 w-4 text-status-red"
+                            aria-hidden="true"
+                          />
+                        </div>
+                      </div>
+
+                      {option}
+                    </div>
+                    {optionButton && optionButton(option)}
+                  </div>
+                </CommandItem>
+              ))}
+              {optionsButton && optionsButton}
+            </CommandGroup>
+          </CommandList>
+        </Command>
+      </PopoverContentWithoutPortal>
+    </Popover>
+  );
+};
+
+export default CustomInputPopover;
diff --git a/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx b/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
new file mode 100644
index 000000000..becb90852
--- /dev/null
+++ b/src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
@@ -0,0 +1,167 @@
+import { PopoverAnchor } from "@radix-ui/react-popover";
+import { classNames, cn } from "../../../../utils/utils";
+import ForwardedIconComponent from "../../../genericIconComponent";
+import {
+  Command,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "../../../ui/command";
+import { Input } from "../../../ui/input";
+import { Popover, PopoverContentWithoutPortal } from "../../../ui/popover";
+const CustomInputPopoverObject = ({
+  id,
+  refInput,
+  onInputLostFocus,
+  selectedOption,
+  setSelectedOption,
+  selectedOptions,
+  setSelectedOptions,
+  value,
+  autoFocus,
+  disabled,
+  setShowOptions,
+  required,
+  className,
+  placeholder,
+  onChange,
+  blurOnEnter,
+  options,
+  optionsPlaceholder,
+  optionButton,
+  optionsButton,
+  handleKeyDown,
+  showOptions,
+}) => {
+  const handleInputChange = (e) => {
+    onChange && onChange(e.target.value);
+  };
+
+  return (
+    <Popover modal open={showOptions} onOpenChange={setShowOptions}>
+      <PopoverAnchor>
+        <Input
+          id={id}
+          ref={refInput}
+          type="text"
+          onBlur={onInputLostFocus}
+          value={
+            (selectedOption !== "" || !onChange) && setSelectedOption
+              ? options.find((option) => option.id === selectedOption)?.name ||
+                ""
+              : (selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions
+              ? selectedOptions
+                  .map(
+                    (optionId) =>
+                      options.find((option) => option.id === optionId)?.name
+                  )
+                  .join(", ")
+              : value
+          }
+          autoFocus={autoFocus}
+          disabled={disabled}
+          onClick={() => {
+            (((selectedOption !== "" || !onChange) && setSelectedOption) ||
+              ((selectedOptions?.length !== 0 || !onChange) &&
+                setSelectedOptions)) &&
+              setShowOptions(true);
+          }}
+          required={required}
+          className={classNames(className!)}
+          placeholder={placeholder}
+          onChange={handleInputChange}
+          onKeyDown={(e) => {
+            handleKeyDown(e);
+            if (blurOnEnter && e.key === "Enter") refInput.current?.blur();
+          }}
+          data-testid={id}
+        />
+      </PopoverAnchor>
+      <PopoverContentWithoutPortal
+        className="nocopy nopan nodelete nodrag noundo p-0"
+        style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
+        side="bottom"
+        align="center"
+      >
+        <Command
+          filter={(value, search) => {
+            if (
+              value.toLowerCase().includes(search.toLowerCase()) ||
+              value.includes("doNotFilter-")
+            )
+              return 1;
+            return 0;
+          }}
+        >
+          <CommandInput placeholder={optionsPlaceholder} />
+          <CommandList>
+            <CommandGroup defaultChecked={false}>
+              {options.map((option, index) => (
+                <CommandItem
+                  className="group"
+                  key={option.id}
+                  value={option.id}
+                  onSelect={(currentValue) => {
+                    setSelectedOption &&
+                      setSelectedOption(
+                        currentValue === selectedOption ? "" : currentValue
+                      );
+                    setSelectedOptions &&
+                      setSelectedOptions(
+                        selectedOptions?.includes(currentValue)
+                          ? selectedOptions.filter(
+                              (item) => item !== currentValue
+                            )
+                          : [...selectedOptions, currentValue]
+                      );
+                    !setSelectedOptions && setShowOptions(false);
+                  }}
+                >
+                  <div className="group flex w-full items-center justify-between">
+                    <div className="flex items-center">
+                      <div
+                        className={cn(
+                          "relative mr-2 h-4 w-4",
+                          selectedOption === option.id ||
+                            selectedOptions?.includes(option.id)
+                            ? "opacity-100"
+                            : "opacity-0"
+                        )}
+                      >
+                        <div className="absolute opacity-100 transition-all group-hover:opacity-0">
+                          <ForwardedIconComponent
+                            name="Check"
+                            className="mr-2 h-4 w-4 text-primary"
+                            aria-hidden="true"
+                          />
+                        </div>
+                        <div className="absolute opacity-0 transition-all group-hover:opacity-100">
+                          <ForwardedIconComponent
+                            name="X"
+                            className="mr-2 h-4 w-4 text-status-red"
+                            aria-hidden="true"
+                          />
+                        </div>
+                      </div>
+                      <span data-testid={`option-${index}`}>
+                        {option.name}{" "}
+                      </span>
+
+                      {/* Display the name property of the option */}
+                    </div>
+                    {optionButton && optionButton(option)}
+                  </div>
+                </CommandItem>
+              ))}
+              {optionsButton && optionsButton}
+            </CommandGroup>
+          </CommandList>
+        </Command>
+      </PopoverContentWithoutPortal>
+    </Popover>
+  );
+};
+
+export default CustomInputPopoverObject;
diff --git a/src/frontend/src/components/inputComponent/index.tsx b/src/frontend/src/components/inputComponent/index.tsx
index 035b03807..63fbad736 100644
--- a/src/frontend/src/components/inputComponent/index.tsx
+++ b/src/frontend/src/components/inputComponent/index.tsx
@@ -1,20 +1,12 @@
 import * as Form from "@radix-ui/react-form";
-import { PopoverAnchor } from "@radix-ui/react-popover";
 import { useEffect, useRef, useState } from "react";
-import useAlertStore from "../../stores/alertStore";
 import { InputComponentType } from "../../types/components";
 import { handleKeyDown } from "../../utils/reactflowUtils";
 import { classNames, cn } from "../../utils/utils";
 import ForwardedIconComponent from "../genericIconComponent";
-import {
-  Command,
-  CommandGroup,
-  CommandInput,
-  CommandItem,
-  CommandList,
-} from "../ui/command";
 import { Input } from "../ui/input";
-import { Popover, PopoverContentWithoutPortal } from "../ui/popover";
+import CustomInputPopover from "./components/popover";
+import CustomInputPopoverObject from "./components/popoverObject";
 
 export default function InputComponent({
   autoFocus = false,
@@ -39,13 +31,13 @@ export default function InputComponent({
   optionsPlaceholder = "Search options...",
   optionsButton,
   optionButton,
+  objectOptions,
+  isObjectOption = false,
 }: InputComponentType): JSX.Element {
-  const setErrorData = useAlertStore.getState().setErrorData;
   const [pwdVisible, setPwdVisible] = useState(false);
   const refInput = useRef<HTMLInputElement>(null);
   const [showOptions, setShowOptions] = useState<boolean>(false);
 
-  // Clear component state
   useEffect(() => {
     if (disabled && value && onChange && value !== "") {
       onChange("", true);
@@ -93,182 +85,61 @@ export default function InputComponent({
         </Form.Control>
       ) : (
         <>
-          <Popover modal open={showOptions} onOpenChange={setShowOptions}>
-            <PopoverAnchor>
-              <Input
-                id={id}
-                ref={refInput}
-                type="text"
-                onBlur={onInputLostFocus}
-                value={
-                  (selectedOption !== "" || !onChange) && setSelectedOption
-                    ? selectedOption
-                    : (selectedOptions?.length !== 0 || !onChange) &&
-                      setSelectedOptions
-                    ? selectedOptions?.join(", ")
-                    : value
-                }
-                autoFocus={autoFocus}
-                disabled={disabled}
-                onClick={() => {
-                  (((selectedOption !== "" || !onChange) &&
-                    setSelectedOption) ||
-                    ((selectedOptions?.length !== 0 || !onChange) &&
-                      setSelectedOptions)) &&
-                    setShowOptions(true);
-                }}
-                required={required}
-                className={classNames(
-                  password &&
-                    (!setSelectedOption || selectedOption === "") &&
-                    !pwdVisible &&
-                    value !== ""
-                    ? " text-clip password "
-                    : "",
-                  editNode ? " input-edit-node " : "",
-                  password && (setSelectedOption || setSelectedOptions)
-                    ? "pr-[62.9px]"
-                    : "",
-                  (!password && (setSelectedOption || setSelectedOptions)) ||
-                    (password && !(setSelectedOption || setSelectedOptions))
-                    ? "pr-8"
-                    : "",
-
-                  className!
-                )}
-                placeholder={password && editNode ? "Key" : placeholder}
-                onChange={(e) => {
-                  // if the user copies a password from another input
-                  // it might come as ••••••••••• it causes errors
-                  // in ascii encoding, so we need to handle it
-                  if (password) {
-                    // check if all chars are •
-                    if (
-                      e.target.value.split("").every((char) => char === "•") &&
-                      e.target.value !== ""
-                    ) {
-                      setErrorData({
-                        title: `Invalid characters: ${e.target.value}`,
-                        list: [
-                          "It seems you are trying to paste a password. Make sure the value is visible before copying from another field.",
-                        ],
-                      });
-                    }
-                  }
-                  onChange && onChange(e.target.value);
-                }}
-                onKeyDown={(e) => {
-                  handleKeyDown(e, value, "");
-                  if (blurOnEnter && e.key === "Enter")
-                    refInput.current?.blur();
-                }}
-                data-testid={editNode ? id + "-edit" : id}
-              />
-            </PopoverAnchor>
-            <PopoverContentWithoutPortal
-              className="nocopy nopan nodelete nodrag noundo p-0"
-              style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
-              side="bottom"
-              avoidCollisions={false}
-              align="center"
-            >
-              <Command
-                filter={(value, search) => {
-                  if (
-                    value.toLowerCase().includes(search.toLowerCase()) ||
-                    value.includes("doNotFilter-")
-                  )
-                    return 1; // ensures items arent filtered
-                  return 0;
-                }}
-              >
-                <CommandInput placeholder={optionsPlaceholder} />
-                <CommandList>
-                  <CommandGroup defaultChecked={false}>
-                    {options.map((option, id) => (
-                      <CommandItem
-                        className="group"
-                        key={option + id}
-                        value={option}
-                        onSelect={(currentValue) => {
-                          setSelectedOption &&
-                            setSelectedOption(
-                              currentValue === selectedOption
-                                ? ""
-                                : currentValue
-                            );
-                          setSelectedOptions &&
-                            setSelectedOptions(
-                              selectedOptions?.includes(currentValue)
-                                ? selectedOptions.filter(
-                                    (item) => item !== currentValue
-                                  )
-                                : [...selectedOptions, currentValue]
-                            );
-                          !setSelectedOptions && setShowOptions(false);
-                        }}
-                      >
-                        <div className="group flex w-full items-center justify-between">
-                          <div className="flex items-center">
-                            <div
-                              className={cn(
-                                "relative mr-2 h-4 w-4",
-                                selectedOption === option ||
-                                  selectedOptions?.includes(option)
-                                  ? "opacity-100"
-                                  : "opacity-0"
-                              )}
-                            >
-                              <div className="absolute opacity-100 transition-all group-hover:opacity-0">
-                                <ForwardedIconComponent
-                                  name="Check"
-                                  className="mr-2 h-4 w-4 text-primary"
-                                  aria-hidden="true"
-                                />
-                              </div>
-                              <div className="absolute opacity-0 transition-all group-hover:opacity-100">
-                                <ForwardedIconComponent
-                                  name="X"
-                                  className="mr-2 h-4 w-4 text-status-red"
-                                  aria-hidden="true"
-                                />
-                              </div>
-                            </div>
-
-                            {option}
-                          </div>
-                          {optionButton && optionButton(option)}
-                        </div>
-                      </CommandItem>
-                    ))}
-                    {optionsButton && optionsButton}
-                  </CommandGroup>
-                </CommandList>
-              </Command>
-            </PopoverContentWithoutPortal>
-          </Popover>
-          <div
-            data-testid={"popover-anchor-" + id}
-            className={cn(
-              "pointer-events-auto absolute inset-y-0 h-full w-full cursor-pointer",
-              ((selectedOption !== "" || !onChange) && setSelectedOption) ||
-                ((selectedOptions?.length !== 0 || !onChange) &&
-                  setSelectedOptions)
-                ? ""
-                : "hidden"
-            )}
-            onClick={
-              ((selectedOption !== "" || !onChange) && setSelectedOption) ||
-              ((selectedOptions?.length !== 0 || !onChange) &&
-                setSelectedOptions)
-                ? (e) => {
-                    setShowOptions((old) => !old);
-                    e.preventDefault();
-                    e.stopPropagation();
-                  }
-                : () => {}
-            }
-          ></div>
+          {isObjectOption ? (
+            // Content to render when isObjectOption is true
+            <CustomInputPopoverObject
+              refInput={refInput}
+              handleKeyDown={handleKeyDown}
+              optionButton={optionButton}
+              optionsButton={optionsButton}
+              showOptions={showOptions}
+              onChange={onChange}
+              id={`object-${id}`}
+              onInputLostFocus={onInputLostFocus}
+              selectedOption={selectedOption}
+              setSelectedOption={setSelectedOption}
+              selectedOptions={selectedOptions}
+              setSelectedOptions={setSelectedOptions}
+              options={objectOptions}
+              value={value}
+              autoFocus={autoFocus}
+              disabled={disabled}
+              setShowOptions={setShowOptions}
+              required={required}
+              placeholder={placeholder}
+              blurOnEnter={blurOnEnter}
+              optionsPlaceholder={optionsPlaceholder}
+              className={className}
+            />
+          ) : (
+            <CustomInputPopover
+              refInput={refInput}
+              handleKeyDown={handleKeyDown}
+              optionButton={optionButton}
+              optionsButton={optionsButton}
+              showOptions={showOptions}
+              onChange={onChange}
+              id={`popover-anchor-${id}`}
+              onInputLostFocus={onInputLostFocus}
+              selectedOption={selectedOption}
+              setSelectedOption={setSelectedOption}
+              selectedOptions={selectedOptions}
+              setSelectedOptions={setSelectedOptions}
+              value={value}
+              autoFocus={autoFocus}
+              disabled={disabled}
+              setShowOptions={setShowOptions}
+              required={required}
+              password={password}
+              pwdVisible={pwdVisible}
+              editNode={editNode}
+              placeholder={placeholder}
+              blurOnEnter={blurOnEnter}
+              options={options}
+              optionsPlaceholder={optionsPlaceholder}
+              className={className}
+            />
+          )}
         </>
       )}
 
@@ -280,8 +151,10 @@ export default function InputComponent({
           )}
         >
           <button
-            onClick={() => {
+            onClick={(e) => {
               setShowOptions(!showOptions);
+              e.preventDefault();
+              e.stopPropagation();
             }}
             className={cn(
               selectedOption !== ""
diff --git a/src/frontend/src/components/inputFileComponent/index.tsx b/src/frontend/src/components/inputFileComponent/index.tsx
index b5d689b49..fb83b18fb 100644
--- a/src/frontend/src/components/inputFileComponent/index.tsx
+++ b/src/frontend/src/components/inputFileComponent/index.tsx
@@ -106,8 +106,8 @@ export default function InputFileComponent({
             editNode
               ? "input-edit-node input-dialog text-muted-foreground"
               : disabled
-              ? "input-disable input-dialog primary-input"
-              : "input-dialog primary-input text-muted-foreground"
+                ? "input-disable input-dialog primary-input"
+                : "input-dialog primary-input text-muted-foreground"
           }
         >
           {myValue !== "" ? myValue : "No file"}
diff --git a/src/frontend/src/components/inputGlobalComponent/index.tsx b/src/frontend/src/components/inputGlobalComponent/index.tsx
index d4e13b07f..2ca1aed22 100644
--- a/src/frontend/src/components/inputGlobalComponent/index.tsx
+++ b/src/frontend/src/components/inputGlobalComponent/index.tsx
@@ -19,15 +19,15 @@ export default function InputGlobalComponent({
   editNode = false,
 }: InputGlobalComponentType): JSX.Element {
   const globalVariablesEntries = useGlobalVariablesStore(
-    (state) => state.globalVariablesEntries
+    (state) => state.globalVariablesEntries,
   );
 
   const getVariableId = useGlobalVariablesStore((state) => state.getVariableId);
   const unavaliableFields = useGlobalVariablesStore(
-    (state) => state.unavaliableFields
+    (state) => state.unavaliableFields,
   );
   const removeGlobalVariable = useGlobalVariablesStore(
-    (state) => state.removeGlobalVariable
+    (state) => state.removeGlobalVariable,
   );
   const setErrorData = useAlertStore((state) => state.setErrorData);
 
@@ -129,7 +129,7 @@ export default function InputGlobalComponent({
             <ForwardedIconComponent
               name="Trash2"
               className={cn(
-                "h-4 w-4 text-primary opacity-0 hover:text-status-red group-hover:opacity-100"
+                "h-4 w-4 text-primary opacity-0 hover:text-status-red group-hover:opacity-100",
               )}
               aria-hidden="true"
             />
diff --git a/src/frontend/src/components/numberReader/index.tsx b/src/frontend/src/components/numberReader/index.tsx
new file mode 100644
index 000000000..7b27ee2f0
--- /dev/null
+++ b/src/frontend/src/components/numberReader/index.tsx
@@ -0,0 +1,7 @@
+export default function NumberReader({
+  number,
+}: {
+  number: number;
+}): JSX.Element {
+  return <span>{number}</span>;
+}
diff --git a/src/frontend/src/components/objectRender/index.tsx b/src/frontend/src/components/objectRender/index.tsx
new file mode 100644
index 000000000..9593c5e37
--- /dev/null
+++ b/src/frontend/src/components/objectRender/index.tsx
@@ -0,0 +1,13 @@
+import DictAreaModal from "../../modals/dictAreaModal";
+
+export default function ObjectRender({ object }: { object: any }): JSX.Element {
+  //TODO check object type
+
+  return (
+    <DictAreaModal value={object}>
+      <div className="flex h-full w-full items-center align-middle transition-all hover:scale-105">
+        <div className="truncate">{JSON.stringify(object)}</div>
+      </div>
+    </DictAreaModal>
+  );
+}
diff --git a/src/frontend/src/components/recordsOutputComponent/index.tsx b/src/frontend/src/components/recordsOutputComponent/index.tsx
new file mode 100644
index 000000000..5d157d8d6
--- /dev/null
+++ b/src/frontend/src/components/recordsOutputComponent/index.tsx
@@ -0,0 +1,34 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
+import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
+import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid
+import { FlowPoolObjectType } from "../../types/chat";
+import TableComponent from "../tableComponent";
+import { extractColumnsFromRows } from "../../utils/utils";
+
+function RecordsOutputComponent({
+  flowPool,
+  pagination,
+}: {
+  flowPool: FlowPoolObjectType;
+  pagination: boolean;
+}) {
+  const rows = flowPool?.data?.artifacts?.records ?? [];
+  const columns = extractColumnsFromRows(rows, "union");
+  const columnDefs = columns.map((col, idx) => ({
+    ...col,
+    resizable: idx !== columns.length - 1,
+    flex: idx !== columns.length - 1 ? 1 : 2,
+  })) as (ColDef<any> | ColGroupDef<any>)[];
+
+  return (
+    <TableComponent
+      overlayNoRowsTemplate="No data available"
+      suppressRowClickSelection={true}
+      pagination={pagination}
+      columnDefs={columnDefs}
+      rowData={rows}
+    />
+  );
+}
+
+export default RecordsOutputComponent;
diff --git a/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx b/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx
new file mode 100644
index 000000000..9e4aa9400
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/components/sideBarButtons/index.tsx
@@ -0,0 +1,38 @@
+import { Link } from "react-router-dom";
+import { cn } from "../../../../utils/utils";
+import { buttonVariants } from "../../../ui/button";
+
+type SideBarButtonsComponentProps = {
+  items: {
+    href?: string;
+    title: string;
+    icon: React.ReactNode;
+  }[];
+  pathname: string;
+  handleOpenNewFolderModal?: () => void;
+};
+const SideBarButtonsComponent = ({
+  items,
+  handleOpenNewFolderModal,
+}: SideBarButtonsComponentProps) => {
+  return (
+    <>
+      {items.map((item) => (
+        <Link to={item.href!}>
+          <div
+            key={item.title}
+            data-testid={`sidebar-nav-${item.title}`}
+            className={cn(
+              buttonVariants({ variant: "ghost" }),
+              "!w-[200px] cursor-pointer justify-start gap-2 border border-transparent hover:border-border hover:bg-transparent",
+            )}
+            onClick={handleOpenNewFolderModal}
+          >
+            {item.title}
+          </div>
+        </Link>
+      ))}
+    </>
+  );
+};
+export default SideBarButtonsComponent;
diff --git a/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
new file mode 100644
index 000000000..ee83a34e6
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
@@ -0,0 +1,170 @@
+import { useLocation } from "react-router-dom";
+import { FolderType } from "../../../../pages/MainPage/entities";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import { cn } from "../../../../utils/utils";
+import DropdownButton from "../../../dropdownButtonComponent";
+import IconComponent, {
+  ForwardedIconComponent,
+} from "../../../genericIconComponent";
+import { Button, buttonVariants } from "../../../ui/button";
+import useFileDrop from "../../hooks/use-on-file-drop";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { handleDownloadFolderFn } from "../../../../pages/MainPage/utils/handle-download-folder";
+import useAlertStore from "../../../../stores/alertStore";
+
+type SideBarFoldersButtonsComponentProps = {
+  folders: FolderType[];
+  pathname: string;
+  handleChangeFolder?: (id: string) => void;
+  handleEditFolder?: (item: FolderType) => void;
+  handleDeleteFolder?: (item: FolderType) => void;
+  handleAddFolder?: () => void;
+};
+const SideBarFoldersButtonsComponent = ({
+  folders,
+  pathname,
+  handleAddFolder,
+  handleChangeFolder,
+  handleEditFolder,
+  handleDeleteFolder,
+}: SideBarFoldersButtonsComponentProps) => {
+  const uploadFolder = useFolderStore((state) => state.uploadFolder);
+  const currentFolder = pathname.split("/");
+  const urlWithoutPath = pathname.split("/").length < 4;
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+
+  const checkPathName = (itemId: string) => {
+    if (urlWithoutPath && itemId === myCollectionId) {
+      return true;
+    }
+    return currentFolder.includes(itemId);
+  };
+  const location = useLocation();
+  const folderId = location?.state?.folderId ?? myCollectionId;
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+
+  const handleFolderChange = (folderId: string) => {
+    getFolderById(folderId);
+  };
+
+  const { dragOver, dragEnter, dragLeave, onDrop } = useFileDrop(
+    folderId,
+    handleFolderChange,
+  );
+
+  const handleUploadFlowsToFolder = () => {
+    uploadFolder(folderId);
+  };
+
+  const handleDownloadFolder = (id: string) => {
+    handleDownloadFolderFn(id);
+  };
+
+  return (
+    <>
+      <div className="flex shrink-0 items-center justify-between">
+        <DropdownButton
+          firstButtonName="New Folder"
+          onFirstBtnClick={handleAddFolder!}
+          options={[]}
+          plusButton={true}
+          dropdownOptions={false}
+        />
+        <Button
+          variant="primary"
+          onClick={handleUploadFlowsToFolder}
+          className="px-7"
+        >
+          <ForwardedIconComponent
+            name="Upload"
+            className="main-page-nav-button"
+          />
+          Upload
+        </Button>
+      </div>
+
+      <div className="flex gap-2 overflow-auto lg:h-[70vh] lg:flex-col">
+        <>
+          {folders.map((item, index) => (
+            <div
+              onDragOver={dragOver}
+              onDragEnter={dragEnter}
+              onDragLeave={dragLeave}
+              onDrop={(e) => onDrop(e, item.id!)}
+              key={item.id}
+              data-testid={`sidebar-nav-${item.name}`}
+              className={cn(
+                buttonVariants({ variant: "ghost" }),
+                checkPathName(item.id!)
+                  ? "border border-border bg-muted hover:bg-muted"
+                  : "border hover:bg-transparent lg:border-transparent lg:hover:border-border",
+                "group flex w-full shrink-0 cursor-pointer gap-2 opacity-100 lg:min-w-full",
+              )}
+              onClick={() => handleChangeFolder!(item.id!)}
+            >
+              <div className="flex w-full items-center gap-2">
+                <IconComponent
+                  name={"folder"}
+                  className="mr-2 w-4 flex-shrink-0 justify-start stroke-[1.5] opacity-100"
+                />
+                <span className="block max-w-full truncate opacity-100">
+                  {item.name}
+                </span>
+                <div className="flex-1" />
+                {index > 0 && (
+                  <Button
+                    className="hidden p-0 hover:bg-white group-hover:block hover:dark:bg-[#0c101a00]"
+                    onClick={(e) => {
+                      handleDeleteFolder!(item);
+                      e.stopPropagation();
+                      e.preventDefault();
+                    }}
+                    variant={"ghost"}
+                  >
+                    <IconComponent
+                      name={"trash"}
+                      className=" w-4 stroke-[1.5]"
+                    />
+                  </Button>
+                )}
+                {index > 0 && (
+                  <Button
+                    className="hidden p-0 hover:bg-white group-hover:block hover:dark:bg-[#0c101a00]"
+                    onClick={(e) => {
+                      handleEditFolder!(item);
+                      e.stopPropagation();
+                      e.preventDefault();
+                    }}
+                    variant={"ghost"}
+                  >
+                    <IconComponent
+                      name={"pencil"}
+                      className="  w-4 stroke-[1.5] text-white  "
+                    />
+                  </Button>
+                )}
+                <Button
+                  className="hidden p-0 hover:bg-white group-hover:block hover:dark:bg-[#0c101a00]"
+                  onClick={(e) => {
+                    handleDownloadFolder(item.id!);
+                    e.stopPropagation();
+                    e.preventDefault();
+                  }}
+                  variant={"ghost"}
+                >
+                  <IconComponent
+                    name={"Download"}
+                    className="  w-4 stroke-[1.5] text-white  "
+                  />
+                </Button>
+              </div>
+            </div>
+          ))}
+        </>
+      </div>
+    </>
+  );
+};
+export default SideBarFoldersButtonsComponent;
diff --git a/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx
new file mode 100644
index 000000000..556ed3f2c
--- /dev/null
+++ b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx
@@ -0,0 +1,134 @@
+import {
+  UPLOAD_ALERT_LIST,
+  WRONG_FILE_ERROR_ALERT,
+} from "../../../constants/alerts_constants";
+import { updateFlowInDatabase } from "../../../controllers/API";
+import { uploadFlowsFromFolders } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+import { FlowType } from "../../../types/flow";
+
+const useFileDrop = (folderId, folderChangeCallback) => {
+  const setFolderDragging = useFolderStore((state) => state.setFolderDragging);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const refreshFlows = useFlowsManagerStore((state) => state.refreshFlows);
+  const flows = useFlowsManagerStore((state) => state.flows);
+
+  const triggerFolderChange = (folderId) => {
+    if (folderChangeCallback) {
+      folderChangeCallback(folderId);
+    }
+  };
+  const handleFileDrop = async (e) => {
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      if (e.dataTransfer.files && e.dataTransfer.files.length > 0) {
+        const firstFile = e.dataTransfer.files[0];
+        if (firstFile.type === "application/json") {
+          uploadFormData(firstFile);
+        } else {
+          setErrorData({
+            title: WRONG_FILE_ERROR_ALERT,
+            list: [UPLOAD_ALERT_LIST],
+          });
+        }
+      }
+    }
+  };
+
+  const dragOver = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>
+  ) => {
+    e.preventDefault();
+
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setFolderDragging(true);
+    }
+  };
+
+  const dragEnter = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>
+  ) => {
+    if (e.dataTransfer.types.some((types) => types === "Files")) {
+      setFolderDragging(true);
+    }
+    e.preventDefault();
+  };
+
+  const dragLeave = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>
+  ) => {
+    e.preventDefault();
+    if (e.target === e.currentTarget) {
+      setFolderDragging(false);
+    }
+  };
+
+  const onDrop = (
+    e:
+      | React.DragEvent<HTMLDivElement>
+      | React.DragEvent<HTMLButtonElement>
+      | React.DragEvent<HTMLAnchorElement>,
+    folderId: string
+  ) => {
+    if (e?.dataTransfer?.getData("flow")) {
+      const data = JSON.parse(e?.dataTransfer?.getData("flow"));
+
+      if (data) {
+        uploadFromDragCard(data.id, folderId);
+        return;
+      }
+    }
+
+    e.preventDefault();
+    handleFileDrop(e);
+    setFolderDragging(false);
+  };
+
+  const uploadFromDragCard = (flowId, folderId) => {
+    const selectedFlow = flows.find((flow) => flow.id === flowId);
+
+    if (!selectedFlow) {
+      throw new Error("Flow not found");
+    }
+
+    const updatedFlow: FlowType = {
+      ...selectedFlow,
+      folder_id: folderId,
+    };
+    updateFlowInDatabase(updatedFlow).then(() => {
+      getFoldersApi(true);
+      triggerFolderChange(folderId);
+    });
+  };
+
+  const uploadFormData = (data) => {
+    const formData = new FormData();
+    formData.append("file", data);
+
+    uploadFlowsFromFolders(formData).then(() => {
+      getFoldersApi(true);
+      triggerFolderChange(folderId);
+      refreshFlows();
+    });
+  };
+
+  return {
+    dragOver,
+    dragEnter,
+    dragLeave,
+    onDrop,
+  };
+};
+
+export default useFileDrop;
diff --git a/src/frontend/src/components/sidebarComponent/index.tsx b/src/frontend/src/components/sidebarComponent/index.tsx
index edeaee51e..63fec9661 100644
--- a/src/frontend/src/components/sidebarComponent/index.tsx
+++ b/src/frontend/src/components/sidebarComponent/index.tsx
@@ -1,48 +1,61 @@
-import { Link, useLocation } from "react-router-dom";
+import { useLocation } from "react-router-dom";
+import { FolderType } from "../../pages/MainPage/entities";
+import { useFolderStore } from "../../stores/foldersStore";
 import { cn } from "../../utils/utils";
-import { buttonVariants } from "../ui/button";
+import HorizontalScrollFadeComponent from "../horizontalScrollFadeComponent";
+import SideBarButtonsComponent from "./components/sideBarButtons";
+import SideBarFoldersButtonsComponent from "./components/sideBarFolderButtons";
 
-interface SidebarNavProps extends React.HTMLAttributes<HTMLElement> {
+type SidebarNavProps = {
   items: {
-    href: string;
+    href?: string;
     title: string;
     icon: React.ReactNode;
   }[];
-}
+  handleOpenNewFolderModal?: () => void;
+  handleChangeFolder?: (id: string) => void;
+  handleEditFolder?: (item: FolderType) => void;
+  handleDeleteFolder?: (item: FolderType) => void;
+  className?: string;
+};
 
 export default function SidebarNav({
   className,
   items,
+  handleOpenNewFolderModal,
+  handleChangeFolder,
+  handleEditFolder,
+  handleDeleteFolder,
   ...props
 }: SidebarNavProps) {
   const location = useLocation();
   const pathname = location.pathname;
+  const loadingFolders = useFolderStore((state) => state.loading);
+  const folders = useFolderStore((state) => state.folders);
+
+  const pathValues = ["folder", "components", "flows", "all"];
+  const isFolderPath = pathValues.some((value) => pathname.includes(value));
 
   return (
-    <nav
-      className={cn(
-        "flex space-x-2 lg:flex-col lg:space-x-0 lg:space-y-1",
-        className
-      )}
-      {...props}
-    >
-      {items.map((item) => (
-        <Link
-          data-testid={`sidebar-nav-${item.title}`}
-          key={item.href}
-          to={item.href}
-          className={cn(
-            buttonVariants({ variant: "ghost" }),
-            pathname === item.href
-              ? "border border-border bg-muted hover:bg-muted"
-              : "border border-transparent hover:border-border hover:bg-transparent",
-            "justify-start gap-2"
-          )}
-        >
-          {item.icon}
-          {item.title}
-        </Link>
-      ))}
+    <nav className={cn(className)} {...props}>
+      <HorizontalScrollFadeComponent>
+        <SideBarButtonsComponent
+          items={items}
+          pathname={pathname}
+          handleOpenNewFolderModal={handleOpenNewFolderModal}
+        />
+
+        {!loadingFolders && folders?.length > 0 && isFolderPath && (
+          <SideBarFoldersButtonsComponent
+            folders={folders}
+            pathname={pathname}
+            handleChangeFolder={handleChangeFolder}
+            handleEditFolder={handleEditFolder}
+            handleDeleteFolder={handleDeleteFolder}
+            handleAddFolder={handleOpenNewFolderModal}
+          />
+        )}
+      </HorizontalScrollFadeComponent>
     </nav>
   );
 }
diff --git a/src/frontend/src/components/storeGuard/index.tsx b/src/frontend/src/components/storeGuard/index.tsx
index c2349044f..87f407656 100644
--- a/src/frontend/src/components/storeGuard/index.tsx
+++ b/src/frontend/src/components/storeGuard/index.tsx
@@ -5,7 +5,7 @@ export const StoreGuard = ({ children }) => {
   const hasStore = useStoreStore((state) => state.hasStore);
 
   if (!hasStore) {
-    return <Navigate to="/flows" replace />;
+    return <Navigate to="/all" replace />;
   }
 
   return children;
diff --git a/src/frontend/src/components/stringReaderComponent/index.tsx b/src/frontend/src/components/stringReaderComponent/index.tsx
new file mode 100644
index 000000000..8b1b0e41f
--- /dev/null
+++ b/src/frontend/src/components/stringReaderComponent/index.tsx
@@ -0,0 +1,7 @@
+export default function StringReader({
+  string,
+}: {
+  string: string;
+}): JSX.Element {
+  return <span className="truncate">{string}</span>;
+}
diff --git a/src/frontend/src/components/tableAutoCellRender/index.tsx b/src/frontend/src/components/tableAutoCellRender/index.tsx
new file mode 100644
index 000000000..f22a352b2
--- /dev/null
+++ b/src/frontend/src/components/tableAutoCellRender/index.tsx
@@ -0,0 +1,60 @@
+import { CustomCellRendererProps } from "ag-grid-react";
+import { cn, isTimeStampString } from "../../utils/utils";
+import ArrayReader from "../arrayReaderComponent";
+import DateReader from "../dateReaderComponent";
+import NumberReader from "../numberReader";
+import ObjectRender from "../objectRender";
+import StringReader from "../stringReaderComponent";
+import { Label } from "../ui/label";
+import { Badge } from "../ui/badge";
+
+export default function TableAutoCellRender({
+  value,
+}: CustomCellRendererProps) {
+  function getCellType() {
+    switch (typeof value) {
+      case "object":
+        if (value === null) {
+          return String(value);
+        } else if (Array.isArray(value)) {
+          return <ArrayReader array={value} />;
+        } else if (value.definitions) {
+          // use a custom render defined by the sender
+        } else {
+          return <ObjectRender object={value} />;
+        }
+        break;
+      case "string":
+        if (isTimeStampString(value)) {
+          return <DateReader date={value} />;
+        }
+        //TODO: REFACTOR FOR ANY LABEL NOT HARDCODED
+        else if (value === "success") {
+          return (
+            <Badge
+              variant="outline"
+              size="sq"
+              className={cn(
+                "min-w-min bg-success-background text-success-foreground hover:bg-success-background",
+              )}
+            >
+              {value}
+            </Badge>
+          );
+        } else {
+          return <StringReader string={value} />;
+        }
+        break;
+      case "number":
+        return <NumberReader number={value} />;
+      default:
+        return String(value);
+    }
+  }
+
+  return (
+    <div className="group flex h-full w-full items-center align-middle">
+      {getCellType()}
+    </div>
+  );
+}
diff --git a/src/frontend/src/components/tableComponent/index.tsx b/src/frontend/src/components/tableComponent/index.tsx
index d01edfc53..857a82cf8 100644
--- a/src/frontend/src/components/tableComponent/index.tsx
+++ b/src/frontend/src/components/tableComponent/index.tsx
@@ -1,27 +1,119 @@
 import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
 import "ag-grid-community/styles/ag-theme-quartz.css"; // Optional Theme applied to the grid
-import { AgGridReact } from "ag-grid-react";
-import { ComponentPropsWithoutRef, ElementRef, forwardRef } from "react";
+import { AgGridReact, AgGridReactProps } from "ag-grid-react";
+import { ElementRef, forwardRef, useCallback } from "react";
+import {
+  DEFAULT_TABLE_ALERT_MSG,
+  DEFAULT_TABLE_ALERT_TITLE,
+} from "../../constants/constants";
 import { useDarkStore } from "../../stores/darkStore";
 import "../../style/ag-theme-shadcn.css"; // Custom CSS applied to the grid
 import { cn } from "../../utils/utils";
+import ForwardedIconComponent from "../genericIconComponent";
+import { Alert, AlertDescription, AlertTitle } from "../ui/alert";
+
+interface TableComponentProps extends AgGridReactProps {
+  columnDefs: NonNullable<AgGridReactProps["columnDefs"]>;
+  rowData: NonNullable<AgGridReactProps["rowData"]>;
+  alertTitle?: string;
+  alertDescription?: string;
+}
 
 const TableComponent = forwardRef<
   ElementRef<typeof AgGridReact>,
-  ComponentPropsWithoutRef<typeof AgGridReact>
->(({ ...props }, ref) => {
-  const dark = useDarkStore((state) => state.dark);
+  TableComponentProps
+>(
+  (
+    {
+      alertTitle = DEFAULT_TABLE_ALERT_TITLE,
+      alertDescription = DEFAULT_TABLE_ALERT_MSG,
+      ...props
+    },
+    ref
+  ) => {
+    const dark = useDarkStore((state) => state.dark);
+    var currentRowHeight: number;
+    var minRowHeight = 25;
 
-  return (
-    <div
-      className={cn(
-        dark ? "ag-theme-quartz-dark" : "ag-theme-quartz",
-        "ag-theme-shadcn flex h-full flex-col"
-      )} // applying the grid theme
-    >
-      <AgGridReact ref={ref} {...props} />
-    </div>
-  );
-});
+    const getRowHeight = useCallback(() => {
+      return currentRowHeight;
+    }, []);
+
+    const onGridReady = useCallback((params: any) => {
+      minRowHeight = params.api.getSizesForCurrentTheme().rowHeight;
+      currentRowHeight = minRowHeight;
+    }, []);
+
+    const updateRowHeight = (params: { api: any }) => {
+      const bodyViewport = document.querySelector(".ag-body-viewport");
+      if (!bodyViewport) {
+        return;
+      }
+      var gridHeight = bodyViewport.clientHeight;
+      var renderedRowCount = params.api.getDisplayedRowCount();
+
+      if (renderedRowCount * minRowHeight >= gridHeight) {
+        if (currentRowHeight !== minRowHeight) {
+          currentRowHeight = minRowHeight;
+          params.api.resetRowHeights();
+        }
+      } else {
+        currentRowHeight = Math.floor(gridHeight / renderedRowCount);
+        params.api.resetRowHeights();
+      }
+    };
+
+    const onFirstDataRendered = useCallback(
+      (params: any) => {
+        updateRowHeight(params);
+      },
+      [updateRowHeight]
+    );
+
+    const onGridSizeChanged = useCallback(
+      (params: any) => {
+        updateRowHeight(params);
+      },
+      [updateRowHeight]
+    );
+
+    if (props.rowData.length === 0) {
+      return (
+        <div className="flex h-full w-full items-center justify-center rounded-md border">
+          <Alert variant={"default"} className="w-fit">
+            <ForwardedIconComponent
+              name="AlertCircle"
+              className="h-5 w-5 text-primary"
+            />
+            <AlertTitle>{alertTitle}</AlertTitle>
+            <AlertDescription>{alertDescription}</AlertDescription>
+          </Alert>
+        </div>
+      );
+    }
+
+    return (
+      <div
+        className={cn(
+          dark ? "ag-theme-quartz-dark" : "ag-theme-quartz",
+          "ag-theme-shadcn flex h-full flex-col"
+        )} // applying the grid theme
+      >
+        <AgGridReact
+          {...props}
+          className={cn(props.className, "custom-scroll")}
+          getRowHeight={getRowHeight}
+          onGridReady={onGridReady}
+          onFirstDataRendered={onFirstDataRendered}
+          onGridSizeChanged={onGridSizeChanged}
+          defaultColDef={{
+            minWidth: 100,
+          }}
+          ref={ref}
+        />
+      </div>
+    );
+  }
+);
 
 export default TableComponent;
diff --git a/src/frontend/src/components/tagsSelectorComponent/index.tsx b/src/frontend/src/components/tagsSelectorComponent/index.tsx
index 9d46ef6ae..4e3e181fc 100644
--- a/src/frontend/src/components/tagsSelectorComponent/index.tsx
+++ b/src/frontend/src/components/tagsSelectorComponent/index.tsx
@@ -1,5 +1,5 @@
-import { useEffect, useRef, useState } from "react";
 import { cn } from "../../utils/utils";
+import HorizontalScrollFadeComponent from "../horizontalScrollFadeComponent";
 import { Badge } from "../ui/badge";
 
 export function TagsSelector({
@@ -24,87 +24,37 @@ export function TagsSelector({
     setSelectedTags(newArray);
   };
 
-  const scrollContainerRef = useRef<HTMLDivElement>(null);
-  const fadeContainerRef = useRef<HTMLDivElement>(null);
-  const [divWidth, setDivWidth] = useState<number>(0);
-
-  useEffect(() => {
-    const handleResize = () => {
-      if (scrollContainerRef.current) {
-        setDivWidth(scrollContainerRef.current.clientWidth);
-      }
-    };
-
-    window.addEventListener("resize", handleResize);
-    handleResize(); // call the function at start to get the initial width
-    return () => window.removeEventListener("resize", handleResize);
-  }, []);
-
-  useEffect(() => {
-    const handleScroll = () => {
-      if (!scrollContainerRef.current || !fadeContainerRef.current) return;
-
-      const { scrollLeft, scrollWidth, clientWidth } =
-        scrollContainerRef.current;
-      const atStart = scrollLeft === 0;
-      const atEnd = scrollLeft === scrollWidth - clientWidth;
-      const isScrollable = scrollWidth > clientWidth;
-
-      fadeContainerRef.current.classList.toggle(
-        "fade-left",
-        isScrollable && !atStart
-      );
-      fadeContainerRef.current.classList.toggle(
-        "fade-right",
-        isScrollable && !atEnd
-      );
-    };
-
-    const scrollContainer = scrollContainerRef.current;
-    if (scrollContainer) {
-      scrollContainer.addEventListener("scroll", handleScroll);
-      // Delay the initial scroll event dispatch to ensure correct calculation
-      scrollContainer.dispatchEvent(new Event("scroll"));
-      return () => scrollContainer.removeEventListener("scroll", handleScroll);
-    }
-  }, [divWidth, loadingTags]); // Depend on divWidth
-
   return (
-    <div ref={fadeContainerRef} className="fade-container">
-      <div
-        ref={scrollContainerRef}
-        className="scroll-container flex min-w-min gap-2"
-      >
-        {!loadingTags &&
-          tags.map((tag, idx) => (
-            <button
-              disabled={disabled}
-              className={
-                disabled
-                  ? "cursor-not-allowed"
-                  : " overflow-hidden whitespace-nowrap"
-              }
-              onClick={() => {
-                updateTags(tag.name);
-              }}
+    <HorizontalScrollFadeComponent isFolder={false}>
+      {!loadingTags &&
+        tags.map((tag, idx) => (
+          <button
+            disabled={disabled}
+            className={
+              disabled
+                ? "cursor-not-allowed"
+                : " overflow-hidden whitespace-nowrap"
+            }
+            onClick={() => {
+              updateTags(tag.name);
+            }}
+            key={idx}
+            data-testid={`tag-selector-${tag.name}`}
+          >
+            <Badge
               key={idx}
-              data-testid={`tag-selector-${tag.name}`}
+              variant="outline"
+              size="sq"
+              className={cn(
+                selectedTags.some((category) => category === tag.name)
+                  ? "min-w-min bg-beta-foreground text-background hover:bg-beta-foreground"
+                  : "",
+              )}
             >
-              <Badge
-                key={idx}
-                variant="outline"
-                size="sq"
-                className={cn(
-                  selectedTags.some((category) => category === tag.name)
-                    ? "min-w-min bg-beta-foreground text-background hover:bg-beta-foreground"
-                    : ""
-                )}
-              >
-                {tag.name}
-              </Badge>
-            </button>
-          ))}
-      </div>
-    </div>
+              {tag.name}
+            </Badge>
+          </button>
+        ))}
+    </HorizontalScrollFadeComponent>
   );
 }
diff --git a/src/frontend/src/components/ui/alert.tsx b/src/frontend/src/components/ui/alert.tsx
new file mode 100644
index 000000000..743413b7f
--- /dev/null
+++ b/src/frontend/src/components/ui/alert.tsx
@@ -0,0 +1,58 @@
+import * as React from "react";
+import { cva, type VariantProps } from "class-variance-authority";
+import { cn } from "../../utils/utils";
+
+const alertVariants = cva(
+  "relative w-full rounded-lg border p-4 [&>svg~*]:pl-7 [&>svg+div]:translate-y-[-3px] [&>svg]:absolute [&>svg]:left-4 [&>svg]:top-4 [&>svg]:text-foreground",
+  {
+    variants: {
+      variant: {
+        default: "bg-background text-foreground",
+        destructive:
+          "border-destructive/50 text-destructive dark:border-destructive [&>svg]:text-destructive",
+      },
+    },
+    defaultVariants: {
+      variant: "default",
+    },
+  },
+);
+
+const Alert = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof alertVariants>
+>(({ className, variant, ...props }, ref) => (
+  <div
+    ref={ref}
+    role="alert"
+    className={cn(alertVariants({ variant }), className)}
+    {...props}
+  />
+));
+Alert.displayName = "Alert";
+
+const AlertTitle = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLHeadingElement>
+>(({ className, ...props }, ref) => (
+  <h5
+    ref={ref}
+    className={cn("mb-1 font-medium leading-none tracking-tight", className)}
+    {...props}
+  />
+));
+AlertTitle.displayName = "AlertTitle";
+
+const AlertDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn("text-sm [&_p]:leading-relaxed", className)}
+    {...props}
+  />
+));
+AlertDescription.displayName = "AlertDescription";
+
+export { Alert, AlertTitle, AlertDescription };
diff --git a/src/frontend/src/components/ui/checkbox.tsx b/src/frontend/src/components/ui/checkbox.tsx
index fa58b9a7f..1c3d1e4fe 100644
--- a/src/frontend/src/components/ui/checkbox.tsx
+++ b/src/frontend/src/components/ui/checkbox.tsx
@@ -13,14 +13,14 @@ const Checkbox = React.forwardRef<
     ref={ref}
     className={cn(
       "peer h-4 w-4 shrink-0 rounded-sm border border-primary ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground",
-      className
+      className,
     )}
     {...props}
   >
     <CheckboxPrimitive.Indicator
       className={cn("flex items-center justify-center text-current")}
     >
-      <IconComponent name="Check" className="h-4 w-4" />
+      <IconComponent name="Check" className="h-4 w-4 stroke-2" />
     </CheckboxPrimitive.Indicator>
   </CheckboxPrimitive.Root>
 ));
@@ -37,7 +37,7 @@ const CheckBoxDiv = ({
     className={cn(
       className,
       "peer h-4 w-4 shrink-0 rounded-sm border border-primary ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
-      checked ? "bg-primary text-primary-foreground" : ""
+      checked ? "bg-primary text-primary-foreground" : "",
     )}
   >
     {checked && (
diff --git a/src/frontend/src/components/ui/custom-accordion.tsx b/src/frontend/src/components/ui/custom-accordion.tsx
new file mode 100644
index 000000000..507649ca5
--- /dev/null
+++ b/src/frontend/src/components/ui/custom-accordion.tsx
@@ -0,0 +1,55 @@
+"use client";
+
+import * as AccordionPrimitive from "@radix-ui/react-accordion";
+import { ChevronDownIcon } from "@radix-ui/react-icons";
+import * as React from "react";
+import { cn } from "../../utils/utils";
+
+const Accordion = AccordionPrimitive.Root;
+
+const AccordionItem = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Item>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Item>
+>(({ className, ...props }, ref) => (
+  <AccordionPrimitive.Item ref={ref} className={cn("", className)} {...props} />
+));
+AccordionItem.displayName = "AccordionItem";
+
+const AccordionTrigger = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Trigger>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Header className="flex">
+    <AccordionPrimitive.Trigger asChild ref={ref} {...props}>
+      <div
+        className={cn(
+          " flex flex-1 cursor-pointer items-center justify-between border-[1px] py-2 text-sm font-medium data-[state=closed]:rounded-md data-[state=open]:rounded-t-md data-[state=open]:border-b-0 data-[state=open]:bg-muted [&[data-state=open]>svg]:rotate-180",
+          className,
+        )}
+      >
+        {children}
+        <ChevronDownIcon className="h-4 w-4 font-bold text-primary transition-transform duration-200" />
+      </div>
+    </AccordionPrimitive.Trigger>
+  </AccordionPrimitive.Header>
+));
+AccordionTrigger.displayName = AccordionPrimitive.Trigger.displayName;
+
+const AccordionContent = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Content>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Content
+    ref={ref}
+    className={cn(
+      "data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down overflow-hidden border-[1px] text-sm data-[state=open]:rounded-b-md data-[state=open]:border-t-0 data-[state=open]:bg-muted",
+      className,
+    )}
+    {...props}
+  >
+    <div className="pt-0">{children}</div>
+  </AccordionPrimitive.Content>
+));
+AccordionContent.displayName = AccordionPrimitive.Content.displayName;
+
+export { Accordion, AccordionContent, AccordionItem, AccordionTrigger };
diff --git a/src/frontend/src/components/ui/form.tsx b/src/frontend/src/components/ui/form.tsx
new file mode 100644
index 000000000..69789b6f3
--- /dev/null
+++ b/src/frontend/src/components/ui/form.tsx
@@ -0,0 +1,176 @@
+import * as LabelPrimitive from "@radix-ui/react-label";
+import { Slot } from "@radix-ui/react-slot";
+import * as React from "react";
+import {
+  Controller,
+  ControllerProps,
+  FieldPath,
+  FieldValues,
+  FormProvider,
+  useFormContext,
+} from "react-hook-form";
+import { cn } from "../../utils/utils";
+import { Label } from "./label";
+
+const Form = FormProvider;
+
+type FormFieldContextValue<
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
+> = {
+  name: TName;
+};
+
+const FormFieldContext = React.createContext<FormFieldContextValue>(
+  {} as FormFieldContextValue,
+);
+
+const FormField = <
+  TFieldValues extends FieldValues = FieldValues,
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
+>({
+  ...props
+}: ControllerProps<TFieldValues, TName>) => {
+  return (
+    <FormFieldContext.Provider value={{ name: props.name }}>
+      <Controller {...props} />
+    </FormFieldContext.Provider>
+  );
+};
+
+const useFormField = () => {
+  const fieldContext = React.useContext(FormFieldContext);
+  const itemContext = React.useContext(FormItemContext);
+  const { getFieldState, formState } = useFormContext();
+
+  const fieldState = getFieldState(fieldContext.name, formState);
+
+  if (!fieldContext) {
+    throw new Error("useFormField should be used within <FormField>");
+  }
+
+  const { id } = itemContext;
+
+  return {
+    id,
+    name: fieldContext.name,
+    formItemId: `${id}-form-item`,
+    formDescriptionId: `${id}-form-item-description`,
+    formMessageId: `${id}-form-item-message`,
+    ...fieldState,
+  };
+};
+
+type FormItemContextValue = {
+  id: string;
+};
+
+const FormItemContext = React.createContext<FormItemContextValue>(
+  {} as FormItemContextValue,
+);
+
+const FormItem = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const id = React.useId();
+
+  return (
+    <FormItemContext.Provider value={{ id }}>
+      <div ref={ref} className={cn("space-y-2", className)} {...props} />
+    </FormItemContext.Provider>
+  );
+});
+FormItem.displayName = "FormItem";
+
+const FormLabel = React.forwardRef<
+  React.ElementRef<typeof LabelPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root>
+>(({ className, ...props }, ref) => {
+  const { error, formItemId } = useFormField();
+
+  return (
+    <Label
+      ref={ref}
+      className={cn(error && "text-destructive", className)}
+      htmlFor={formItemId}
+      {...props}
+    />
+  );
+});
+FormLabel.displayName = "FormLabel";
+
+const FormControl = React.forwardRef<
+  React.ElementRef<typeof Slot>,
+  React.ComponentPropsWithoutRef<typeof Slot>
+>(({ ...props }, ref) => {
+  const { error, formItemId, formDescriptionId, formMessageId } =
+    useFormField();
+
+  return (
+    <Slot
+      ref={ref}
+      id={formItemId}
+      aria-describedby={
+        !error
+          ? `${formDescriptionId}`
+          : `${formDescriptionId} ${formMessageId}`
+      }
+      aria-invalid={!!error}
+      {...props}
+    />
+  );
+});
+FormControl.displayName = "FormControl";
+
+const FormDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => {
+  const { formDescriptionId } = useFormField();
+
+  return (
+    <p
+      ref={ref}
+      id={formDescriptionId}
+      className={cn("text-sm text-muted-foreground", className)}
+      {...props}
+    />
+  );
+});
+FormDescription.displayName = "FormDescription";
+
+const FormMessage = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, children, ...props }, ref) => {
+  const { error, formMessageId } = useFormField();
+  const body = error ? String(error?.message) : children;
+
+  if (!body) {
+    return null;
+  }
+
+  return (
+    <p
+      ref={ref}
+      id={formMessageId}
+      className={cn("text-sm font-medium text-destructive", className)}
+      {...props}
+    >
+      {body}
+    </p>
+  );
+});
+FormMessage.displayName = "FormMessage";
+
+export {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+  useFormField,
+};
diff --git a/src/frontend/src/constants/constants.ts b/src/frontend/src/constants/constants.ts
index 6893d0d03..75f8dbd50 100644
--- a/src/frontend/src/constants/constants.ts
+++ b/src/frontend/src/constants/constants.ts
@@ -95,6 +95,12 @@ export const EXPORT_DIALOG_SUBTITLE = "Export flow as JSON file.";
  */
 export const SETTINGS_DIALOG_SUBTITLE = "Edit details about your project.";
 
+/**
+ * The base text for subtitle of Flow Logs (Menubar)
+ * @constant
+ */
+export const LOGS_DIALOG_SUBTITLE = "Check out information about your flow.";
+
 /**
  * The base text for subtitle of Code Dialog (Toolbar)
  * @constant
@@ -125,7 +131,6 @@ export const CODE_PROMPT_DIALOG_SUBTITLE =
 
 export const CODE_DICT_DIALOG_SUBTITLE =
   "Edit your dictionary. This dialog allows you to create your own customized dictionary. You can add as many key-value pairs as you want. While in edit mode, you can enter ({}) or ([]), and this will result in adding a new object or array.";
-
 /**
  * The base text for subtitle of Prompt Dialog
  * @constant
@@ -533,6 +538,8 @@ export const NOUNS: string[] = [
  */
 export const USER_PROJECTS_HEADER = "My Collection";
 
+export const DEFAULT_FOLDER = "My Projects";
+
 /**
  * Header text for admin page
  * @constant
@@ -727,6 +734,8 @@ export const OUTPUT_TYPES = new Set([
   "JsonOutput",
   "KeyPairOutput",
   "StringListOutput",
+  "RecordsOutput",
+  "TableOutput",
 ]);
 
 export const CHAT_FIRST_INITIAL_TEXT =
@@ -746,8 +755,8 @@ export const EDIT_TEXT_MODAL_TITLE = "Edit Text";
 export const EDIT_TEXT_PLACEHOLDER = "Type message here.";
 export const INPUT_HANDLER_HOVER = "Avaliable input components:";
 export const OUTPUT_HANDLER_HOVER = "Avaliable output components:";
-export const TEXT_INPUT_MODAL_TITLE = "Text Inputs";
-export const OUTPUTS_MODAL_TITLE = "Text Outputs";
+export const TEXT_INPUT_MODAL_TITLE = "Inputs";
+export const OUTPUTS_MODAL_TITLE = "Outputs";
 export const LANGFLOW_CHAT_TITLE = "Langflow Chat";
 export const CHAT_INPUT_PLACEHOLDER =
   "No chat input variables found. Click to run your flow.";
@@ -792,3 +801,7 @@ export const NATIVE_CATEGORIES = [
 ];
 
 export const SAVE_DEBOUNCE_TIME = 300;
+
+export const DEFAULT_TABLE_ALERT_MSG = `Oops! It seems there's no data to display right now. Please check back later.`;
+
+export const DEFAULT_TABLE_ALERT_TITLE = "No Data Available";
diff --git a/src/frontend/src/controllers/API/api.tsx b/src/frontend/src/controllers/API/api.tsx
index 8084dfeb9..529a2f623 100644
--- a/src/frontend/src/controllers/API/api.tsx
+++ b/src/frontend/src/controllers/API/api.tsx
@@ -22,7 +22,10 @@ function ApiInterceptor() {
     const interceptor = api.interceptors.response.use(
       (response) => response,
       async (error: AxiosError) => {
-        if (error.response?.status === 403 || error.response?.status === 401) {
+        if (
+          error?.response?.status === 403 ||
+          error?.response?.status === 401
+        ) {
           if (!autoLogin) {
             if (error?.config?.url?.includes("github")) {
               return Promise.reject(error);
@@ -44,7 +47,7 @@ function ApiInterceptor() {
         }
         await clearBuildVerticesState(error);
         return Promise.reject(error);
-      }
+      },
     );
 
     const isAuthorizedURL = (url) => {
@@ -61,10 +64,10 @@ function ApiInterceptor() {
         const parsedURL = new URL(url);
 
         const isDomainAllowed = authorizedDomains.some(
-          (domain) => parsedURL.origin === new URL(domain).origin
+          (domain) => parsedURL.origin === new URL(domain).origin,
         );
         const isEndpointAllowed = authorizedEndpoints.some((endpoint) =>
-          parsedURL.pathname.includes(endpoint)
+          parsedURL.pathname.includes(endpoint),
         );
 
         return isDomainAllowed || isEndpointAllowed;
@@ -77,6 +80,18 @@ function ApiInterceptor() {
     // Request interceptor to add access token to every request
     const requestInterceptor = api.interceptors.request.use(
       (config) => {
+        const lastUrl = localStorage.getItem("lastUrlCalled");
+
+        if (
+          config?.url === lastUrl &&
+          config?.url !== "/health" &&
+          config?.method === "get"
+        ) {
+          return Promise.reject("Duplicate request");
+        }
+
+        localStorage.setItem("lastUrlCalled", config.url ?? "");
+
         const accessToken = cookies.get("access_token_lf");
         if (accessToken && !isAuthorizedURL(config?.url)) {
           config.headers["Authorization"] = `Bearer ${accessToken}`;
@@ -86,7 +101,7 @@ function ApiInterceptor() {
       },
       (error) => {
         return Promise.reject(error);
-      }
+      },
     );
 
     return () => {
@@ -118,7 +133,7 @@ function ApiInterceptor() {
       if (error?.config?.headers) {
         delete error.config.headers["Authorization"];
         error.config.headers["Authorization"] = `Bearer ${cookies.get(
-          "access_token_lf"
+          "access_token_lf",
         )}`;
         const response = await axios.request(error.config);
         return response;
diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts
index c395afb35..4c01e6c59 100644
--- a/src/frontend/src/controllers/API/index.ts
+++ b/src/frontend/src/controllers/API/index.ts
@@ -1,3 +1,4 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
 import { AxiosRequestConfig, AxiosResponse } from "axios";
 import { Edge, Node, ReactFlowJsonObject } from "reactflow";
 import { BASE_URL_API } from "../../constants/constants";
@@ -18,6 +19,7 @@ import { UserInputType } from "../../types/components";
 import { FlowStyleType, FlowType } from "../../types/flow";
 import { StoreComponentResponse } from "../../types/store";
 import { FlowPoolType } from "../../types/zustand/flow";
+import { extractColumnsFromRows } from "../../utils/utils";
 import {
   APIClassType,
   BuildStatusTypeAPI,
@@ -119,6 +121,7 @@ export async function saveFlowToDatabase(newFlow: {
   description: string;
   style?: FlowStyleType;
   is_component?: boolean;
+  folder_id?: string;
 }): Promise<FlowType> {
   try {
     const response = await api.post(`${BASE_URL_API}flows/`, {
@@ -126,6 +129,7 @@ export async function saveFlowToDatabase(newFlow: {
       data: newFlow.data,
       description: newFlow.description,
       is_component: newFlow.is_component,
+      folder_id: newFlow.folder_id === "" ? null : newFlow.folder_id,
     });
 
     if (response.status !== 201) {
@@ -152,6 +156,7 @@ export async function updateFlowInDatabase(
       name: updatedFlow.name,
       data: updatedFlow.data,
       description: updatedFlow.description,
+      folder_id: updatedFlow.folder_id === "" ? null : updatedFlow.folder_id,
     });
 
     if (response?.status !== 200) {
@@ -992,3 +997,41 @@ export async function deleteFlowPool(
   config["params"] = { flow_id: flowId };
   return await api.delete(`${BASE_URL_API}monitor/builds`, config);
 }
+
+export async function multipleDeleteFlowsComponents(
+  flowIds: string[]
+): Promise<AxiosResponse<any>> {
+  return await api.post(`${BASE_URL_API}flows/multiple_delete/`, {
+    flow_ids: flowIds,
+  });
+}
+
+export async function getTransactionTable(
+  id: string,
+  mode: "intersection" | "union",
+  params = {}
+): Promise<{ rows: Array<object>; columns: Array<ColDef | ColGroupDef> }> {
+  const config = {};
+  config["params"] = { flow_id: id };
+  if (params) {
+    config["params"] = { ...config["params"], ...params };
+  }
+  const rows = await api.get(`${BASE_URL_API}monitor/transactions`, config);
+  const columns = extractColumnsFromRows(rows.data, mode);
+  return { rows: rows.data, columns };
+}
+
+export async function getMessagesTable(
+  id: string,
+  mode: "intersection" | "union",
+  params = {}
+): Promise<{ rows: Array<object>; columns: Array<ColDef | ColGroupDef> }> {
+  const config = {};
+  config["params"] = { flow_id: id };
+  if (params) {
+    config["params"] = { ...config["params"], ...params };
+  }
+  const rows = await api.get(`${BASE_URL_API}monitor/messages`, config);
+  const columns = extractColumnsFromRows(rows.data, mode);
+  return { rows: rows.data, columns };
+}
diff --git a/src/frontend/src/customNodes/genericNode/index.tsx b/src/frontend/src/customNodes/genericNode/index.tsx
index c488d430a..811e812a6 100644
--- a/src/frontend/src/customNodes/genericNode/index.tsx
+++ b/src/frontend/src/customNodes/genericNode/index.tsx
@@ -54,14 +54,14 @@ export default function GenericNode({
   const [nodeName, setNodeName] = useState(data.node!.display_name);
   const [inputDescription, setInputDescription] = useState(false);
   const [nodeDescription, setNodeDescription] = useState(
-    data.node?.description!
+    data.node?.description!,
   );
   const [isOutdated, setIsOutdated] = useState(false);
   const buildStatus = useFlowStore(
-    (state) => state.flowBuildStatus[data.id]?.status
+    (state) => state.flowBuildStatus[data.id]?.status,
   );
   const lastRunTime = useFlowStore(
-    (state) => state.flowBuildStatus[data.id]?.timestamp
+    (state) => state.flowBuildStatus[data.id]?.timestamp,
   );
   const [validationStatus, setValidationStatus] =
     useState<validationStatusType | null>(null);
@@ -118,7 +118,7 @@ export default function GenericNode({
 
       updateNodeInternals(data.id);
     },
-    [data.id, data.node, setNode, setIsOutdated]
+    [data.id, data.node, setNode, setIsOutdated],
   );
 
   if (!data.node!.template) {
@@ -258,7 +258,7 @@ export default function GenericNode({
   const isDark = useDarkStore((state) => state.dark);
   const renderIconStatus = (
     buildStatus: BuildStatus | undefined,
-    validationStatus: validationStatusType | null
+    validationStatus: validationStatusType | null,
   ) => {
     if (buildStatus === BuildStatus.BUILDING) {
       return <Loading className="text-medium-indigo" />;
@@ -299,7 +299,7 @@ export default function GenericNode({
   };
   const getSpecificClassFromBuildStatus = (
     buildStatus: BuildStatus | undefined,
-    validationStatus: validationStatusType | null
+    validationStatus: validationStatusType | null,
   ) => {
     let isInvalid = validationStatus && !validationStatus.valid;
 
@@ -323,11 +323,11 @@ export default function GenericNode({
     selected: boolean,
     showNode: boolean,
     buildStatus: BuildStatus | undefined,
-    validationStatus: validationStatusType | null
+    validationStatus: validationStatusType | null,
   ) => {
     const specificClassFromBuildStatus = getSpecificClassFromBuildStatus(
       buildStatus,
-      validationStatus
+      validationStatus,
     );
 
     const baseBorderClass = getBaseBorderClass(selected);
@@ -336,7 +336,7 @@ export default function GenericNode({
       baseBorderClass,
       nodeSizeClass,
       "generic-node-div",
-      specificClassFromBuildStatus
+      specificClassFromBuildStatus,
     );
   };
 
@@ -392,7 +392,7 @@ export default function GenericNode({
           selected,
           showNode,
           buildStatus,
-          validationStatus
+          validationStatus,
         )}
       >
         {data.node?.beta && showNode && (
@@ -537,7 +537,7 @@ export default function GenericNode({
                             }
                             title={getFieldTitle(
                               data.node?.template!,
-                              templateField
+                              templateField,
                             )}
                             info={data.node?.template[templateField].info}
                             name={templateField}
@@ -565,7 +565,7 @@ export default function GenericNode({
                             proxy={data.node?.template[templateField].proxy}
                             showNode={showNode}
                           />
-                        )
+                        ),
                     )}
                   <ParameterComponent
                     key={scapedJSONStringfy({
@@ -722,7 +722,7 @@ export default function GenericNode({
                       !data.node?.description) &&
                       nameEditable
                       ? "font-light italic"
-                      : ""
+                      : "",
                   )}
                   onDoubleClick={(e) => {
                     setInputDescription(true);
@@ -784,13 +784,13 @@ export default function GenericNode({
                         }
                         title={getFieldTitle(
                           data.node?.template!,
-                          templateField
+                          templateField,
                         )}
                         info={data.node?.template[templateField].info}
                         name={templateField}
                         tooltipTitle={
                           data.node?.template[templateField].input_types?.join(
-                            "\n"
+                            "\n",
                           ) ?? data.node?.template[templateField].type
                         }
                         required={data.node!.template[templateField].required}
@@ -817,7 +817,7 @@ export default function GenericNode({
               <div
                 className={classNames(
                   Object.keys(data.node!.template).length < 1 ? "hidden" : "",
-                  "flex-max-width justify-center"
+                  "flex-max-width justify-center",
                 )}
               >
                 {" "}
diff --git a/src/frontend/src/modals/BundleModal/component/index.tsx b/src/frontend/src/modals/BundleModal/component/index.tsx
new file mode 100644
index 000000000..c7521cfe2
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/component/index.tsx
@@ -0,0 +1,140 @@
+import { useEffect, useState } from "react";
+import InputComponent from "../../../components/inputComponent";
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "../../../components/ui/form";
+import { Input } from "../../../components/ui/input";
+import { Label } from "../../../components/ui/label";
+import { Textarea } from "../../../components/ui/textarea";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+
+type FolderFormsProps = {
+  control: any;
+  setValue: any;
+  folderToEdit: any;
+};
+
+export const FolderForms = ({
+  control,
+  setValue,
+  folderToEdit,
+}: FolderFormsProps): JSX.Element => {
+  const flows = useFlowsManagerStore((state) => state.flows);
+  const [selectedComponents, setSelectedComponents] = useState<string[]>([]);
+  const [selectedFlows, setSelectedFlows] = useState<string[]>([]);
+
+  const componentsList = flows
+    .filter((flow) => flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const flowsList = flows
+    .filter((flow) => !flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  useEffect(() => {
+    setValue("components", selectedComponents);
+    setValue("flows", selectedFlows);
+  }, [selectedComponents, selectedFlows]);
+
+  useEffect(() => {
+    if (folderToEdit) {
+      setValue("name", folderToEdit.name);
+      setValue("description", folderToEdit.description);
+      console.log(folderToEdit);
+
+      // setSelectedComponents(folderToEdit.components);
+      // setSelectedFlows(folderToEdit.flows);
+      return;
+    }
+    setValue("name", "");
+    setValue("description", "");
+    setSelectedComponents([]);
+    setSelectedFlows([]);
+  }, [folderToEdit]);
+
+  return (
+    <>
+      <div className="flex h-full w-full flex-col gap-4 align-middle">
+        <Label>Folder Name</Label>
+
+        <FormField
+          control={control}
+          name="name"
+          render={({ field }) => (
+            <FormItem>
+              <FormControl>
+                <Input
+                  value={field.value}
+                  onChange={field.onChange}
+                  placeholder="Insert a name for the folder..."
+                ></Input>
+              </FormControl>
+
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <Label>Description (optional) </Label>
+
+        <FormField
+          control={control}
+          name="description"
+          render={({ field }) => (
+            <FormControl>
+              <Textarea
+                value={field.value}
+                onChange={field.onChange}
+                placeholder="Insert a description for the folder..."
+              ></Textarea>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Flows</Label>
+
+        <FormField
+          control={control}
+          name="flows"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={flowsList}
+                placeholder="Choose a flow to add..."
+                id="input-flow"
+                setSelectedOptions={(value: any) => setSelectedFlows(value)}
+                selectedOptions={selectedFlows}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Components</Label>
+        <FormField
+          control={control}
+          name="components"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={componentsList}
+                placeholder="Choose a component to add..."
+                id="input-component"
+                setSelectedOptions={(value) => setSelectedComponents(value)}
+                selectedOptions={selectedComponents}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+      </div>
+    </>
+  );
+};
+
+export default FolderForms;
diff --git a/src/frontend/src/modals/BundleModal/entities/index.ts b/src/frontend/src/modals/BundleModal/entities/index.ts
new file mode 100644
index 000000000..64d69d38b
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/entities/index.ts
@@ -0,0 +1,10 @@
+import { z } from "zod";
+
+export const FolderFormsSchema = z.object({
+  name: z.string().min(1, {
+    message: "Name must be at least 1 characters.",
+  }),
+  description: z.string().optional(),
+  components: z.array(z.string()),
+  flows: z.array(z.string()),
+});
diff --git a/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx
new file mode 100644
index 000000000..cb12ca7cb
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx
@@ -0,0 +1,53 @@
+import { addFolder, updateFolder } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFolderSubmit = (setOpen, folderToEdit) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+
+  const onSubmit = (data) => {
+    if (folderToEdit) {
+      updateFolder(data, folderToEdit?.id!).then(
+        () => {
+          setSuccessData({
+            title: "Folder updated successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+        },
+        (reason) => {
+          if (reason) {
+            setErrorData({
+              title: `Error updating folder.`,
+            });
+            console.error(reason);
+          } else {
+            getFoldersApi(true);
+            setOpen(false);
+          }
+        },
+      );
+    } else {
+      addFolder(data).then(
+        () => {
+          setSuccessData({
+            title: "Folder created successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+        },
+        () => {
+          setErrorData({
+            title: `Error creating folder.`,
+          });
+        },
+      );
+    }
+  };
+
+  return { onSubmit, open, setOpen };
+};
+
+export default useFolderSubmit;
diff --git a/src/frontend/src/modals/BundleModal/index.tsx b/src/frontend/src/modals/BundleModal/index.tsx
new file mode 100644
index 000000000..e901ba222
--- /dev/null
+++ b/src/frontend/src/modals/BundleModal/index.tsx
@@ -0,0 +1,79 @@
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import { Form } from "../../components/ui/form";
+import { useFolderStore } from "../../stores/foldersStore";
+import BaseModal from "../baseModal";
+import FolderForms from "./component";
+import { FolderFormsSchema } from "./entities";
+import useFolderSubmit from "./hooks/submit-folder";
+
+type FoldersModalProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+};
+
+export default function FoldersModal({
+  open,
+  setOpen,
+}: FoldersModalProps): JSX.Element {
+  const form = useForm<z.infer<typeof FolderFormsSchema>>({
+    resolver: zodResolver(FolderFormsSchema),
+    defaultValues: {
+      name: "",
+      description: "",
+      components: [],
+      flows: [],
+    },
+    mode: "all",
+  });
+
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit);
+
+  const onSubmit = (data) => {
+    onSubmitFolder(data);
+  };
+
+  return (
+    <>
+      <BaseModal size="x-small" open={open} setOpen={setOpen}>
+        <BaseModal.Header
+          description={`${folderToEdit ? "Edit a folder" : "Add a new folder"}`}
+        >
+          <span className="pr-2" data-testid="modal-title">
+            {folderToEdit ? "Edit" : "New"} Folder
+          </span>
+          <ForwardedIconComponent
+            name="Plus"
+            className="h-6 w-6 pl-1 text-primary "
+            aria-hidden="true"
+          />
+        </BaseModal.Header>
+        <BaseModal.Content>
+          <div>
+            <Form {...form}>
+              <form onSubmit={form.handleSubmit(onSubmit)}>
+                <FolderForms
+                  folderToEdit={folderToEdit}
+                  control={form.control}
+                  setValue={form.setValue}
+                />
+
+                <Button
+                  className="float-right mt-6"
+                  type="submit"
+                  disabled={!form.formState.isValid}
+                >
+                  {folderToEdit ? "Edit" : "Save"} Folder
+                </Button>
+              </form>
+            </Form>
+          </div>
+        </BaseModal.Content>
+      </BaseModal>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
index 36d8be382..be4331be8 100644
--- a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
+++ b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
@@ -4,6 +4,7 @@ import ImageViewer from "../../../../components/ImageViewer";
 import CsvOutputComponent from "../../../../components/csvOutputComponent";
 import InputListComponent from "../../../../components/inputListComponent";
 import PdfViewer from "../../../../components/pdfViewer";
+import RecordsOutputComponent from "../../../../components/recordsOutputComponent";
 import {
   Select,
   SelectContent,
@@ -47,6 +48,7 @@ export default function IOFieldView({
       }
     }
   };
+
   const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
 
   function handleOutputType() {
@@ -204,7 +206,7 @@ export default function IOFieldView({
                             <SelectItem key={separator} value={separator}>
                               {separator}
                             </SelectItem>
-                          )
+                          ),
                         )}
                       </SelectGroup>
                     </SelectContent>
@@ -280,6 +282,15 @@ export default function IOFieldView({
                 />
               </>
             );
+          case "RecordsOutput":
+            return (
+              <div className={left ? "h-56" : "h-full"}>
+                <RecordsOutputComponent
+                  flowPool={flowPoolNode}
+                  pagination={!left}
+                />
+              </div>
+            );
 
           default:
             return (
diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
index 6b7087a0c..086d87a45 100644
--- a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
+++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
@@ -114,19 +114,19 @@ export default function ChatMessage({
       <div
         className={classNames(
           "form-modal-chat-position",
-          chat.isSend ? "" : " "
+          chat.isSend ? "" : " ",
         )}
       >
         <div
           className={classNames(
-            "mr-3 mt-1 flex w-24 flex-col items-center gap-1 overflow-hidden px-3 pb-3"
+            "mr-3 mt-1 flex w-24 flex-col items-center gap-1 overflow-hidden px-3 pb-3",
           )}
         >
           <div className="flex flex-col items-center gap-1">
             <div
               className={cn(
                 "relative flex h-8 w-8 items-center justify-center overflow-hidden rounded-md p-5 text-2xl",
-                !chat.isSend ? "bg-chat-bot-icon" : "bg-chat-user-icon"
+                !chat.isSend ? "bg-chat-bot-icon" : "bg-chat-user-icon",
               )}
             >
               <img
@@ -210,12 +210,12 @@ dark:prose-invert"
 
                                   children[0] = (children[0] as string).replace(
                                     "`▍`",
-                                    "▍"
+                                    "▍",
                                   );
                                 }
 
                                 const match = /language-(\w+)/.exec(
-                                  className || ""
+                                  className || "",
                                 );
 
                                 return !inline ? (
@@ -230,7 +230,7 @@ dark:prose-invert"
                                         language: (match && match[1]) || "",
                                         code: String(children).replace(
                                           /\n$/,
-                                          ""
+                                          "",
                                         ),
                                       },
                                     ]}
@@ -248,7 +248,7 @@ dark:prose-invert"
                             {chatMessage}
                           </Markdown>
                         ),
-                      [chat.message, chatMessage]
+                      [chat.message, chatMessage],
                     )}
                   </div>
                   {chat.files && (
@@ -306,7 +306,7 @@ dark:prose-invert"
                             parts.push(
                               <span className="chat-message-highlight">
                                 {chat.message[match[1]]}
-                              </span>
+                              </span>,
                             );
                           }
 
diff --git a/src/frontend/src/modals/baseModal/index.tsx b/src/frontend/src/modals/baseModal/index.tsx
index 6b8544cf0..d13c92994 100644
--- a/src/frontend/src/modals/baseModal/index.tsx
+++ b/src/frontend/src/modals/baseModal/index.tsx
@@ -25,15 +25,21 @@ type TriggerProps = {
   children: ReactNode;
   asChild?: boolean;
   disable?: boolean;
+  className?: string;
 };
 
 const Content: React.FC<ContentProps> = ({ children }) => {
   return <div className="flex h-full w-full flex-col">{children}</div>;
 };
-const Trigger: React.FC<TriggerProps> = ({ children, asChild, disable }) => {
+const Trigger: React.FC<TriggerProps> = ({
+  children,
+  asChild,
+  disable,
+  className,
+}) => {
   return (
     <DialogTrigger
-      className={asChild ? "" : "w-full"}
+      className={asChild ? "" : cn("w-full", className)}
       hidden={children ? false : true}
       disabled={disable}
       asChild={asChild}
@@ -113,7 +119,7 @@ function BaseModal({
   switch (size) {
     case "x-small":
       minWidth = "min-w-[20vw]";
-      height = " ";
+      height = "h-full";
       break;
     case "smaller":
       minWidth = "min-w-[40vw]";
@@ -129,6 +135,7 @@ function BaseModal({
       break;
     case "small-h-full":
       minWidth = "min-w-[40vw]";
+      height = "h-full";
       break;
     case "medium":
       minWidth = "min-w-[60vw]";
@@ -136,6 +143,8 @@ function BaseModal({
       break;
     case "medium-h-full":
       minWidth = "min-w-[60vw]";
+      height = "h-full";
+
       break;
     case "large":
       minWidth = "min-w-[85vw]";
@@ -162,6 +171,7 @@ function BaseModal({
 
     case "large-h-full":
       minWidth = "min-w-[80vw]";
+      height = "h-full";
       break;
     default:
       minWidth = "min-w-[80vw]";
@@ -186,7 +196,7 @@ function BaseModal({
               {headerChild}
             </div>
             <div
-              className={`flex flex-col ${height!} w-full transition-all duration-300`}
+              className={`flex flex-col ${height} w-full transition-all duration-300`}
             >
               {ContentChild}
             </div>
@@ -203,7 +213,7 @@ function BaseModal({
               {headerChild}
             </div>
             <div
-              className={`flex flex-col ${height!} w-full transition-all duration-300`}
+              className={`flex flex-col ${height} w-full transition-all duration-300`}
             >
               {ContentChild}
             </div>
diff --git a/src/frontend/src/modals/deleteConfirmationModal/index.tsx b/src/frontend/src/modals/deleteConfirmationModal/index.tsx
index e412e741a..d03a0d707 100644
--- a/src/frontend/src/modals/deleteConfirmationModal/index.tsx
+++ b/src/frontend/src/modals/deleteConfirmationModal/index.tsx
@@ -17,6 +17,7 @@ export default function DeleteConfirmationModal({
   asChild,
   open,
   setOpen,
+  note = "",
 }: {
   children: JSX.Element;
   onConfirm: (e: React.MouseEvent<HTMLButtonElement, MouseEvent>) => void;
@@ -24,6 +25,7 @@ export default function DeleteConfirmationModal({
   asChild?: boolean;
   open?: boolean;
   setOpen?: (open: boolean) => void;
+  note?: string;
 }) {
   return (
     <Dialog open={open} onOpenChange={setOpen}>
@@ -43,7 +45,14 @@ export default function DeleteConfirmationModal({
           </DialogTitle>
         </DialogHeader>
         <span>
-          Confirm deletion of {description ?? "component"}?<br></br>
+          Are you sure you want to delete the selected{" "}
+          {description ?? "component"}?<br></br>
+          {note && (
+            <>
+              {note}
+              <br></br>
+            </>
+          )}
           Note: This action is irreversible.
         </span>
         <DialogFooter>
diff --git a/src/frontend/src/modals/dictAreaModal/index.tsx b/src/frontend/src/modals/dictAreaModal/index.tsx
index 032e282aa..e12575335 100644
--- a/src/frontend/src/modals/dictAreaModal/index.tsx
+++ b/src/frontend/src/modals/dictAreaModal/index.tsx
@@ -18,6 +18,10 @@ export default function DictAreaModal({
   children,
   onChange,
   value,
+}: {
+  children: JSX.Element;
+  onChange?: (value: Object) => void;
+  value: Object;
 }): JSX.Element {
   const [open, setOpen] = useState(false);
   const isDark = useDarkStore((state) => state.dark);
@@ -29,9 +33,13 @@ export default function DictAreaModal({
 
   return (
     <BaseModal size="medium-h-full" open={open} setOpen={setOpen}>
-      <BaseModal.Trigger>{children}</BaseModal.Trigger>
-      <BaseModal.Header description={CODE_DICT_DIALOG_SUBTITLE}>
-        <span className="pr-2">Edit Dictionary</span>
+      <BaseModal.Trigger className="h-full">{children}</BaseModal.Trigger>
+      <BaseModal.Header
+        description={onChange ? CODE_DICT_DIALOG_SUBTITLE : null}
+      >
+        <span className="pr-2">
+          {onChange ? "Edit Dictionary" : "View Dictionary"}
+        </span>
         <IconComponent
           name="BookMarked"
           className="h-6 w-6 pl-1 text-primary "
@@ -44,7 +52,7 @@ export default function DictAreaModal({
             theme="vscode"
             dark={isDark}
             className={!isDark ? "json-view-white" : "json-view-dark"}
-            editable
+            editable={!!onChange}
             enableClipboard
             onEdit={(edit) => {
               ref.current = edit["src"];
@@ -54,19 +62,21 @@ export default function DictAreaModal({
             }}
             src={ref.current}
           />
-          <div className="flex h-fit w-full justify-end">
-            <Button
-              data-testid="save-dict-button"
-              className="mt-3"
-              type="submit"
-              onClick={() => {
-                onChange(ref.current);
-                setOpen(false);
-              }}
-            >
-              Save
-            </Button>
-          </div>
+          {onChange && (
+            <div className="flex h-fit w-full justify-end">
+              <Button
+                data-testid="save-dict-button"
+                className="mt-3"
+                type="submit"
+                onClick={() => {
+                  onChange(ref.current);
+                  setOpen(false);
+                }}
+              >
+                Save
+              </Button>
+            </div>
+          )}
         </div>
       </BaseModal.Content>
     </BaseModal>
diff --git a/src/frontend/src/modals/flowLogsModal/index.tsx b/src/frontend/src/modals/flowLogsModal/index.tsx
new file mode 100644
index 000000000..278c6f77e
--- /dev/null
+++ b/src/frontend/src/modals/flowLogsModal/index.tsx
@@ -0,0 +1,104 @@
+import { useEffect, useState } from "react";
+import IconComponent from "../../components/genericIconComponent";
+import { Tabs, TabsList, TabsTrigger } from "../../components/ui/tabs";
+import useFlowsManagerStore from "../../stores/flowsManagerStore";
+import { FlowSettingsPropsType } from "../../types/components";
+import { FlowType } from "../../types/flow";
+import BaseModal from "../baseModal";
+import TableComponent from "../../components/tableComponent";
+import { getMessagesTable, getTransactionTable } from "../../controllers/API";
+import {
+  ColDef,
+  ColGroupDef,
+  SizeColumnsToFitGridStrategy,
+} from "ag-grid-community";
+
+export default function FlowLogsModal({
+  open,
+  setOpen,
+}: FlowSettingsPropsType): JSX.Element {
+  const saveFlow = useFlowsManagerStore((state) => state.saveFlow);
+  const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
+  const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
+  const flows = useFlowsManagerStore((state) => state.flows);
+  useEffect(() => {
+    setName(currentFlow!.name);
+    setDescription(currentFlow!.description);
+  }, [currentFlow!.name, currentFlow!.description, open]);
+
+  const [name, setName] = useState(currentFlow!.name);
+  const [description, setDescription] = useState(currentFlow!.description);
+  const [columns, setColumns] = useState<Array<ColDef | ColGroupDef>>([]);
+  const [rows, setRows] = useState<any>([]);
+  const [activeTab, setActiveTab] = useState("Executions");
+
+  function handleClick(): void {
+    currentFlow!.name = name;
+    currentFlow!.description = description;
+    saveFlow(currentFlow!);
+    setOpen(false);
+  }
+
+  useEffect(() => {
+    if (activeTab === "Executions") {
+      getTransactionTable(currentFlowId, "union").then((data) => {
+        const { columns, rows } = data;
+        setColumns(columns.map((col) => ({ ...col, editable: true })));
+        setRows(rows);
+      });
+    } else if (activeTab === "Messages") {
+      getMessagesTable(currentFlowId, "union").then((data) => {
+        const { columns, rows } = data;
+        setColumns(columns.map((col) => ({ ...col, editable: true })));
+        setRows(rows);
+      });
+    }
+  }, [open, activeTab]);
+
+  const [nameLists, setNameList] = useState<string[]>([]);
+
+  useEffect(() => {
+    const tempNameList: string[] = [];
+    flows.forEach((flow: FlowType) => {
+      if ((flow.is_component ?? false) === false) tempNameList.push(flow.name);
+    });
+    setNameList(tempNameList.filter((name) => name !== currentFlow!.name));
+  }, [flows]);
+
+  return (
+    <BaseModal open={open} setOpen={setOpen} size="large">
+      <BaseModal.Header description="Inspect component executions and monitor sent messages in the playground.">
+        <div className="flex w-full justify-between">
+          <div className="flex h-fit w-32 items-center">
+            <span className="pr-2">Logs</span>
+            <IconComponent name="ScrollText" className="mr-2 h-4 w-4 " />
+          </div>
+          <div className="flex h-fit w-32 items-center"></div>
+        </div>
+      </BaseModal.Header>
+      <BaseModal.Content>
+        <Tabs
+          value={activeTab}
+          onValueChange={setActiveTab}
+          className={
+            "text-center; inset-0 m-0 mb-2 flex flex-col self-center overflow-hidden rounded-md border bg-muted pb-1"
+          }
+        >
+          <TabsList>
+            <TabsTrigger value={"Executions"}>Executions</TabsTrigger>
+            <TabsTrigger value={"Messages"}>Messages</TabsTrigger>
+          </TabsList>
+        </Tabs>
+        <TableComponent
+          readOnlyEdit
+          className="h-max-full h-full w-full"
+          pagination={rows.length === 0 ? false : true}
+          columnDefs={columns}
+          autoSizeStrategy={{ type: "fitGridWidth" }}
+          rowData={rows}
+          headerHeight={rows.length === 0 ? 0 : undefined}
+        ></TableComponent>
+      </BaseModal.Content>
+    </BaseModal>
+  );
+}
diff --git a/src/frontend/src/modals/foldersModal/component/index.tsx b/src/frontend/src/modals/foldersModal/component/index.tsx
new file mode 100644
index 000000000..5093adf8e
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/component/index.tsx
@@ -0,0 +1,148 @@
+import { useEffect, useState } from "react";
+import InputComponent from "../../../components/inputComponent";
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormMessage,
+} from "../../../components/ui/form";
+import { Input } from "../../../components/ui/input";
+import { Label } from "../../../components/ui/label";
+import { Textarea } from "../../../components/ui/textarea";
+import useFlowsManagerStore from "../../../stores/flowsManagerStore";
+
+type FolderFormsProps = {
+  control: any;
+  setValue: any;
+  folderToEdit: any;
+};
+
+export const FolderForms = ({
+  control,
+  setValue,
+  folderToEdit,
+}: FolderFormsProps): JSX.Element => {
+  const flows = useFlowsManagerStore((state) => state.flows);
+  const [selectedComponents, setSelectedComponents] = useState<string[]>([]);
+  const [selectedFlows, setSelectedFlows] = useState<string[]>([]);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const componentsList = flows
+    .filter((flow) => flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const flowsList = flows
+    .filter((flow) => !flow.is_component && flow.folder_id !== null)
+    .map((flow) => ({ id: flow.id, name: flow.name }));
+
+  const componentsOnFolder = allFlows
+    .filter((flow) => flow.is_component && flow.folder_id === folderToEdit?.id)
+    .map((flow) => flow.id);
+
+  const flowsOnFolder = allFlows
+    .filter((flow) => !flow.is_component && flow.folder_id === folderToEdit?.id)
+    .map((flow) => flow.id);
+
+  useEffect(() => {
+    setValue("components", selectedComponents);
+    setValue("flows", selectedFlows);
+  }, [selectedComponents, selectedFlows]);
+
+  useEffect(() => {
+    if (folderToEdit) {
+      setValue("name", folderToEdit.name);
+      setValue("description", folderToEdit.description);
+
+      setSelectedComponents(componentsOnFolder);
+      setSelectedFlows(flowsOnFolder);
+      return;
+    }
+    setValue("name", "");
+    setValue("description", "");
+    setSelectedComponents([]);
+    setSelectedFlows([]);
+  }, [folderToEdit]);
+
+  return (
+    <>
+      <div className="flex h-full w-full flex-col gap-4 align-middle">
+        <Label>Folder Name</Label>
+
+        <FormField
+          control={control}
+          name="name"
+          render={({ field }) => (
+            <FormItem>
+              <FormControl>
+                <Input
+                  value={field.value}
+                  onChange={field.onChange}
+                  placeholder="Insert a name for the folder..."
+                ></Input>
+              </FormControl>
+
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <Label>Description (optional) </Label>
+
+        <FormField
+          control={control}
+          name="description"
+          render={({ field }) => (
+            <FormControl>
+              <Textarea
+                value={field.value}
+                onChange={field.onChange}
+                placeholder="Insert a description for the folder..."
+              ></Textarea>
+            </FormControl>
+          )}
+        />
+        {/*
+        <Label>Add Flows</Label>
+
+        <FormField
+          control={control}
+          name="flows"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={flowsList}
+                placeholder="Choose a flow to add..."
+                id="input-flow"
+                setSelectedOptions={(value: any) => setSelectedFlows(value)}
+                selectedOptions={selectedFlows}
+              ></InputComponent>
+            </FormControl>
+          )}
+        />
+
+        <Label>Add Components</Label>
+        <FormField
+          control={control}
+          name="components"
+          render={() => (
+            <FormControl>
+              <InputComponent
+                isObjectOption
+                password={false}
+                objectOptions={componentsList}
+                placeholder="Choose a component to add..."
+                id="input-component"
+                setSelectedOptions={(value) => setSelectedComponents(value)}
+                selectedOptions={selectedComponents}
+              ></InputComponent>
+            </FormControl>
+          )}
+        /> */}
+      </div>
+    </>
+  );
+};
+
+export default FolderForms;
diff --git a/src/frontend/src/modals/foldersModal/entities/index.ts b/src/frontend/src/modals/foldersModal/entities/index.ts
new file mode 100644
index 000000000..64d69d38b
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/entities/index.ts
@@ -0,0 +1,10 @@
+import { z } from "zod";
+
+export const FolderFormsSchema = z.object({
+  name: z.string().min(1, {
+    message: "Name must be at least 1 characters.",
+  }),
+  description: z.string().optional(),
+  components: z.array(z.string()),
+  flows: z.array(z.string()),
+});
diff --git a/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx
new file mode 100644
index 000000000..71a8ac944
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx
@@ -0,0 +1,60 @@
+import { useNavigate } from "react-router-dom";
+import { addFolder, updateFolder } from "../../../pages/MainPage/services";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFolderSubmit = (setOpen, folderToEdit) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const navigate = useNavigate();
+
+  const onSubmit = (data) => {
+    if (folderToEdit) {
+      updateFolder(data, folderToEdit?.id!).then(
+        () => {
+          setSuccessData({
+            title: "Folder updated successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+          navigate(`all/folder/${folderToEdit.id}`, {
+            state: { folderId: folderToEdit.id },
+          });
+        },
+        //TODO: LOOK THIS ERRO MORE CAREFULLY
+        (reason) => {
+          if (reason) {
+            setErrorData({
+              title: `Error updating folder.`,
+            });
+            console.error(reason);
+          } else {
+            getFoldersApi(true);
+            setOpen(false);
+          }
+        },
+      );
+    } else {
+      addFolder(data).then(
+        (res) => {
+          setSuccessData({
+            title: "Folder created successfully.",
+          });
+          getFoldersApi(true);
+          setOpen(false);
+          navigate(`all/folder/${res.id}`, { state: { folderId: res.id } });
+        },
+        () => {
+          setErrorData({
+            title: `Error creating folder.`,
+          });
+        },
+      );
+    }
+  };
+
+  return { onSubmit, open, setOpen };
+};
+
+export default useFolderSubmit;
diff --git a/src/frontend/src/modals/foldersModal/index.tsx b/src/frontend/src/modals/foldersModal/index.tsx
new file mode 100644
index 000000000..f6b5415f9
--- /dev/null
+++ b/src/frontend/src/modals/foldersModal/index.tsx
@@ -0,0 +1,79 @@
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import ForwardedIconComponent from "../../components/genericIconComponent";
+import { Button } from "../../components/ui/button";
+import { Form } from "../../components/ui/form";
+import { useFolderStore } from "../../stores/foldersStore";
+import BaseModal from "../baseModal";
+import FolderForms from "./component";
+import { FolderFormsSchema } from "./entities";
+import useFolderSubmit from "./hooks/submit-folder";
+
+type FoldersModalProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+};
+
+export default function FoldersModal({
+  open,
+  setOpen,
+}: FoldersModalProps): JSX.Element {
+  const form = useForm<z.infer<typeof FolderFormsSchema>>({
+    resolver: zodResolver(FolderFormsSchema),
+    defaultValues: {
+      name: "",
+      description: "",
+      components: [],
+      flows: [],
+    },
+    mode: "all",
+  });
+
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit);
+
+  const onSubmit = (data) => {
+    onSubmitFolder(data);
+  };
+
+  return (
+    <>
+      <BaseModal size="x-small" open={open} setOpen={setOpen}>
+        <BaseModal.Header
+          description={`${folderToEdit ? "Edit a folder" : "Add a new folder"}`}
+        >
+          <span className="pr-2" data-testid="modal-title">
+            {folderToEdit ? "Edit" : "New"} Folder
+          </span>
+          <ForwardedIconComponent
+            name={folderToEdit ? "Pencil" : "Plus"}
+            className="h-6 w-6 pl-1 text-primary "
+            aria-hidden="true"
+          />
+        </BaseModal.Header>
+        <BaseModal.Content>
+          <div>
+            <Form {...form}>
+              <form onSubmit={form.handleSubmit(onSubmit)}>
+                <FolderForms
+                  folderToEdit={folderToEdit}
+                  control={form.control}
+                  setValue={form.setValue}
+                />
+
+                <Button
+                  className="float-right mt-6"
+                  type="submit"
+                  disabled={!form.formState.isValid}
+                >
+                  {folderToEdit ? "Edit" : "Save"} Folder
+                </Button>
+              </form>
+            </Form>
+          </div>
+        </BaseModal.Content>
+      </BaseModal>
+    </>
+  );
+}
diff --git a/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
index 8fbd8ab8f..5d4a60385 100644
--- a/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
+++ b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
@@ -1,4 +1,4 @@
-import { useNavigate } from "react-router-dom";
+import { useLocation, useNavigate } from "react-router-dom";
 import {
   Card,
   CardContent,
@@ -6,15 +6,21 @@ import {
   CardTitle,
 } from "../../../../components/ui/card";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
 
 export default function NewFlowCardComponent() {
   const addFlow = useFlowsManagerStore((state) => state.addFlow);
   const navigate = useNavigate();
+  const location = useLocation();
+  const folderId = location?.state?.folderId;
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
+
   return (
     <Card
       onClick={() => {
         addFlow(true).then((id) => {
-          navigate("/flow/" + id);
+          setFolderUrl(folderId ?? "");
+          navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`);
         });
       }}
       className="h-64 w-80 cursor-pointer bg-background pt-4"
diff --git a/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
index 169890994..6f889a407 100644
--- a/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
+++ b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
@@ -1,4 +1,4 @@
-import { useNavigate } from "react-router-dom";
+import { useLocation, useNavigate } from "react-router-dom";
 /// <reference types="vite-plugin-svgr/client" />
 //@ts-ignore
 import { ReactComponent as TransferFiles } from "../../../../assets/undraw_transfer_files_re_a2a9.svg";
@@ -22,6 +22,7 @@ import {
   CardTitle,
 } from "../../../../components/ui/card";
 import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
 import { UndrawCardComponentProps } from "../../../../types/components";
 import { updateIds } from "../../../../utils/reactflowUtils";
 
@@ -30,6 +31,9 @@ export default function UndrawCardComponent({
 }: UndrawCardComponentProps): JSX.Element {
   const addFlow = useFlowsManagerStore((state) => state.addFlow);
   const navigate = useNavigate();
+  const location = useLocation();
+  const folderId = location?.state?.folderId;
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
 
   function selectImage() {
     switch (flow.name) {
@@ -111,7 +115,8 @@ export default function UndrawCardComponent({
       onClick={() => {
         updateIds(flow.data!);
         addFlow(true, flow).then((id) => {
-          navigate("/flow/" + id);
+          setFolderUrl(folderId ?? "");
+          navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`);
         });
       }}
       className="h-64 w-80 cursor-pointer bg-background pt-4"
diff --git a/src/frontend/src/modals/newFlowModal/index.tsx b/src/frontend/src/modals/newFlowModal/index.tsx
index aec939251..7e64ed5dc 100644
--- a/src/frontend/src/modals/newFlowModal/index.tsx
+++ b/src/frontend/src/modals/newFlowModal/index.tsx
@@ -10,7 +10,7 @@ export default function NewFlowModal({
 }: newFlowModalPropsType): JSX.Element {
   const examples = useFlowsManagerStore((state) => state.examples);
 
-  examples.forEach((example) => {
+  examples?.forEach((example) => {
     if (example.name === "Blog Writter") {
       example.name = "Blog Writer";
     }
@@ -22,21 +22,14 @@ export default function NewFlowModal({
         <span className="pr-2" data-testid="modal-title">
           Get Started
         </span>
-        {/* <IconComponent
-            name="Group"
-            className="h-6 w-6 stroke-2 text-primary "
-            aria-hidden="true"
-          /> */}
       </BaseModal.Header>
       <BaseModal.Content>
         <div className=" mb-5 grid h-fit w-full grid-cols-3 gap-4 overflow-auto pb-6 custom-scroll">
           <NewFlowCardComponent />
-          {/* {examples.map((example, idx) => {
-            return <UndrawCardComponent key={idx} flow={example} />;
-          })} */}
+
           {examples.find((e) => e.name == "Basic Prompting (Hello, World)") && (
             <UndrawCardComponent
-              key={1}
+              key={0}
               flow={
                 examples.find(
                   (e) => e.name == "Basic Prompting (Hello, World)"
@@ -52,19 +45,19 @@ export default function NewFlowModal({
           )}
           {examples.find((e) => e.name == "Document QA") && (
             <UndrawCardComponent
-              key={1}
+              key={2}
               flow={examples.find((e) => e.name == "Document QA")!}
             />
           )}
           {examples.find((e) => e.name == "Blog Writer") && (
             <UndrawCardComponent
-              key={1}
+              key={3}
               flow={examples.find((e) => e.name == "Blog Writer")!}
             />
           )}
           {examples.find((e) => e.name == "Vector Store RAG") && (
             <UndrawCardComponent
-              key={1}
+              key={4}
               flow={examples.find((e) => e.name == "Vector Store RAG")!}
             />
           )}
diff --git a/src/frontend/src/pages/FlowPage/index.tsx b/src/frontend/src/pages/FlowPage/index.tsx
index 9c58cf7c9..886ab5150 100644
--- a/src/frontend/src/pages/FlowPage/index.tsx
+++ b/src/frontend/src/pages/FlowPage/index.tsx
@@ -10,7 +10,7 @@ import ExtraSidebar from "./components/extraSidebarComponent";
 
 export default function FlowPage({ view }: { view?: boolean }): JSX.Element {
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
   const version = useDarkStore((state) => state.version);
   const setOnFlowPage = useFlowStore((state) => state.setOnFlowPage);
diff --git a/src/frontend/src/pages/MainPage/components/components/index.tsx b/src/frontend/src/pages/MainPage/components/components/index.tsx
deleted file mode 100644
index 0a390b5f1..000000000
--- a/src/frontend/src/pages/MainPage/components/components/index.tsx
+++ /dev/null
@@ -1,207 +0,0 @@
-import { useState } from "react";
-import { Link, useNavigate } from "react-router-dom";
-import CollectionCardComponent from "../../../../components/cardComponent";
-import CardsWrapComponent from "../../../../components/cardsWrapComponent";
-import IconComponent from "../../../../components/genericIconComponent";
-import PaginatorComponent from "../../../../components/paginatorComponent";
-import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent";
-import { Button } from "../../../../components/ui/button";
-import {
-  CONSOLE_ERROR_MSG,
-  UPLOAD_ALERT_LIST,
-  WRONG_FILE_ERROR_ALERT,
-} from "../../../../constants/alerts_constants";
-import useAlertStore from "../../../../stores/alertStore";
-import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
-import { FlowType } from "../../../../types/flow";
-export default function ComponentsComponent({
-  is_component = true,
-}: {
-  is_component?: boolean;
-}) {
-  const addFlow = useFlowsManagerStore((state) => state.addFlow);
-  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
-  const removeFlow = useFlowsManagerStore((state) => state.removeFlow);
-  const isLoading = useFlowsManagerStore((state) => state.isLoading);
-  const flows = useFlowsManagerStore((state) => state.flows);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const [pageSize, setPageSize] = useState(20);
-  const [pageIndex, setPageIndex] = useState(1);
-
-  const navigate = useNavigate();
-  const all: FlowType[] = flows
-    .filter((f) => (f.is_component ?? false) === is_component)
-    .sort((a, b) => {
-      if (a?.updated_at && b?.updated_at) {
-        return (
-          new Date(b?.updated_at!).getTime() -
-          new Date(a?.updated_at!).getTime()
-        );
-      } else if (a?.updated_at && !b?.updated_at) {
-        return 1;
-      } else if (!a?.updated_at && b?.updated_at) {
-        return -1;
-      } else {
-        return (
-          new Date(b?.date_created!).getTime() -
-          new Date(a?.date_created!).getTime()
-        );
-      }
-    });
-  const start = (pageIndex - 1) * pageSize;
-  const end = start + pageSize;
-  const data: FlowType[] = all.slice(start, end);
-
-  const name = is_component ? "Component" : "Flow";
-
-  const onFileDrop = (e) => {
-    e.preventDefault();
-    if (e.dataTransfer.types.some((types) => types === "Files")) {
-      if (e.dataTransfer.files.item(0).type === "application/json") {
-        uploadFlow({
-          newProject: true,
-          file: e.dataTransfer.files.item(0)!,
-          isComponent: is_component,
-        })
-          .then(() => {
-            setSuccessData({
-              title: `${
-                is_component ? "Component" : "Flow"
-              } uploaded successfully`,
-            });
-          })
-          .catch((error) => {
-            setErrorData({
-              title: CONSOLE_ERROR_MSG,
-              list: [error],
-            });
-          });
-      } else {
-        setErrorData({
-          title: WRONG_FILE_ERROR_ALERT,
-          list: [UPLOAD_ALERT_LIST],
-        });
-      }
-    }
-  };
-  function resetFilter() {
-    setPageIndex(1);
-    setPageSize(20);
-  }
-  return (
-    <CardsWrapComponent
-      onFileDrop={onFileDrop}
-      dragMessage={`Drag your ${name} here`}
-    >
-      <div className="flex h-full w-full flex-col justify-between">
-        <div className="flex w-full flex-col gap-4">
-          {!isLoading && data.length === 0 ? (
-            <div className="mt-6 flex w-full items-center justify-center text-center">
-              <div className="flex-max-width h-full flex-col">
-                <div className="flex w-full flex-col gap-4">
-                  <div className="grid w-full gap-4">
-                    Flows and components can be created using Langflow.
-                  </div>
-                  <div className="align-center flex w-full justify-center gap-1">
-                    <span>New?</span>
-                    <span className="transition-colors hover:text-muted-foreground">
-                      <button
-                        onClick={() => {
-                          addFlow(true).then((id) => {
-                            navigate("/flow/" + id);
-                          });
-                        }}
-                        className="underline"
-                      >
-                        Start Here
-                      </button>
-                      .
-                    </span>
-                    <span className="animate-pulse">🚀</span>
-                  </div>
-                </div>
-              </div>
-            </div>
-          ) : (
-            <div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
-              {isLoading === false && data?.length > 0 ? (
-                data?.map((item, idx) => (
-                  <CollectionCardComponent
-                    onDelete={() => {
-                      removeFlow(item.id);
-                      setSuccessData({
-                        title: `${
-                          item.is_component ? "Component" : "Flow"
-                        } deleted successfully!`,
-                      });
-                      resetFilter();
-                    }}
-                    key={idx}
-                    data={{ is_component: item.is_component ?? false, ...item }}
-                    disabled={isLoading}
-                    data-testid={"edit-flow-button-" + item.id + "-" + idx}
-                    button={
-                      !is_component ? (
-                        <Link to={"/flow/" + item.id}>
-                          <Button
-                            tabIndex={-1}
-                            variant="outline"
-                            size="sm"
-                            className="whitespace-nowrap "
-                            data-testid={
-                              "edit-flow-button-" + item.id + "-" + idx
-                            }
-                          >
-                            <IconComponent
-                              name="ExternalLink"
-                              className="main-page-nav-button select-none"
-                            />
-                            Edit Flow
-                          </Button>
-                        </Link>
-                      ) : (
-                        <></>
-                      )
-                    }
-                    onClick={
-                      !is_component
-                        ? () => {
-                            navigate("/flow/" + item.id);
-                          }
-                        : undefined
-                    }
-                    playground={!is_component}
-                  />
-                ))
-              ) : (
-                <>
-                  <SkeletonCardComponent />
-                  <SkeletonCardComponent />
-                </>
-              )}
-            </div>
-          )}
-        </div>
-        {!isLoading && data.length > 0 && (
-          <div className="relative py-6">
-            <PaginatorComponent
-              storeComponent={true}
-              pageIndex={pageIndex}
-              pageSize={pageSize}
-              rowsCount={[10, 20, 50, 100]}
-              totalRowsCount={
-                flows.filter((f) => (f.is_component ?? false) === is_component)
-                  .length
-              }
-              paginate={(pageSize, pageIndex) => {
-                setPageIndex(pageIndex);
-                setPageSize(pageSize);
-              }}
-            ></PaginatorComponent>
-          </div>
-        )}
-      </div>
-    </CardsWrapComponent>
-  );
-}
diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
new file mode 100644
index 000000000..62b96a9bc
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
@@ -0,0 +1,303 @@
+import { cloneDeep } from "lodash";
+import { useEffect, useMemo, useState } from "react";
+import { FormProvider, useForm, useWatch } from "react-hook-form";
+import { Link, useLocation, useNavigate } from "react-router-dom";
+import CollectionCardComponent from "../../../../components/cardComponent";
+import CardsWrapComponent from "../../../../components/cardsWrapComponent";
+import IconComponent from "../../../../components/genericIconComponent";
+import PaginatorComponent from "../../../../components/paginatorComponent";
+import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent";
+import { Button } from "../../../../components/ui/button";
+import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal";
+import useAlertStore from "../../../../stores/alertStore";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import { FlowType } from "../../../../types/flow";
+import useFileDrop from "../../hooks/use-on-file-drop";
+import { getNameByType } from "../../utils/get-name-by-type";
+import { sortFlows } from "../../utils/sort-flows";
+import EmptyComponent from "../emptyComponent";
+import HeaderComponent from "../headerComponent";
+
+export default function ComponentsComponent({
+  type = "all",
+}: {
+  type?: string;
+}) {
+  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
+  const removeFlow = useFlowsManagerStore((state) => state.removeFlow);
+  const isLoading = useFlowsManagerStore((state) => state.isLoading);
+  const setAllFlows = useFlowsManagerStore((state) => state.setAllFlows);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const flowsFromFolder = useFolderStore(
+    (state) => state.selectedFolder?.flows,
+  );
+
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const [openDelete, setOpenDelete] = useState(false);
+  const searchFlowsComponents = useFlowsManagerStore(
+    (state) => state.searchFlowsComponents,
+  );
+
+  const setSelectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.setSelectedFlowsComponentsCards,
+  );
+
+  const selectedFlowsComponentsCards = useFlowsManagerStore(
+    (state) => state.selectedFlowsComponentsCards,
+  );
+
+  const [handleFileDrop] = useFileDrop(uploadFlow, type)!;
+  const [pageSize, setPageSize] = useState(20);
+  const [pageIndex, setPageIndex] = useState(1);
+  const navigate = useNavigate();
+  const location = useLocation();
+  const all: FlowType[] = sortFlows(allFlows, type);
+  const start = (pageIndex - 1) * pageSize;
+  const end = start + pageSize;
+  const data: FlowType[] = all?.slice(start, end);
+
+  const name = getNameByType(type);
+
+  const folderId = location?.state?.folderId;
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const setFolderUrl = useFolderStore((state) => state.setFolderUrl);
+
+  useEffect(() => {
+    setFolderUrl(folderId ?? "");
+    setSelectedFlowsComponentsCards([]);
+    handleSelectAll(false);
+    getFolderById(folderId ? folderId : myCollectionId);
+  }, [location]);
+
+  useEffect(() => {
+    const newFlows = cloneDeep(flowsFromFolder!);
+    const filteredFlows = newFlows?.filter(
+      (f) =>
+        f.name.toLowerCase().includes(searchFlowsComponents.toLowerCase()) ||
+        f.description
+          .toLowerCase()
+          .includes(searchFlowsComponents.toLowerCase()),
+    );
+
+    if (searchFlowsComponents === "") {
+      setAllFlows(flowsFromFolder!);
+    }
+
+    setAllFlows(filteredFlows);
+  }, [searchFlowsComponents]);
+
+  const resetFilter = () => {
+    setPageIndex(1);
+    setPageSize(20);
+  };
+
+  const { getValues, control, setValue } = useForm();
+  const entireFormValues = useWatch({ control });
+
+  const methods = useForm();
+  const handleSelectAll = (select) => {
+    const flowsFromFolderIds = flowsFromFolder?.map((f) => f.id);
+    if (select) {
+      Object.keys(getValues()).forEach((key) => {
+        if (!flowsFromFolderIds?.includes(key)) return;
+        setValue(key, true);
+      });
+      return;
+    }
+
+    Object.keys(getValues()).forEach((key) => {
+      setValue(key, false);
+    });
+  };
+
+  const handleSelectOptionsChange = () => {
+    const hasSelected = selectedFlowsComponentsCards?.length > 0;
+    if (!hasSelected) {
+      setErrorData({
+        title: "No items selected",
+        list: ["Please select items to delete"],
+      });
+      return;
+    }
+    setOpenDelete(true);
+  };
+
+  const handleDeleteMultiple = () => {
+    removeFlow(selectedFlowsComponentsCards)
+      .then(() => {
+        resetFilter();
+        getFoldersApi(true);
+        if (!folderId || folderId === myCollectionId) {
+          getFolderById(folderId ? folderId : myCollectionId);
+        }
+        setSuccessData({
+          title: "Selected items deleted successfully!",
+        });
+      })
+      .catch(() => {
+        setErrorData({
+          title: "Error deleting items",
+          list: ["Please try again"],
+        });
+      });
+  };
+
+  useEffect(() => {
+    if (!entireFormValues || Object.keys(entireFormValues).length === 0) return;
+    const selectedFlows: string[] = Object.keys(entireFormValues).filter(
+      (key) => {
+        if (entireFormValues[key] === true) {
+          return true;
+        }
+        return false;
+      },
+    );
+
+    setSelectedFlowsComponentsCards(selectedFlows);
+  }, [entireFormValues]);
+
+  const getDescriptionModal = useMemo(() => {
+    const getTypeLabel = (type) => {
+      const labels = {
+        all: "item",
+        component: "component",
+        flow: "flow",
+      };
+      return labels[type] || "";
+    };
+
+    const getPluralizedLabel = (type) => {
+      const labels = {
+        all: "items",
+        component: "components",
+        flow: "flows",
+      };
+      return labels[type] || "";
+    };
+
+    if (selectedFlowsComponentsCards?.length === 1) {
+      return getTypeLabel(type);
+    }
+    return getPluralizedLabel(type);
+  }, [selectedFlowsComponentsCards, type]);
+
+  const getTotalRowsCount = () => {
+    if (type === "all") return allFlows?.length;
+
+    return allFlows?.filter(
+      (f) => (f.is_component ?? false) === (type === "component"),
+    )?.length;
+  };
+
+  return (
+    <>
+      {allFlows?.length > 0 && (
+        <HeaderComponent
+          handleDelete={handleSelectOptionsChange}
+          handleSelectAll={handleSelectAll}
+          disableDelete={!(selectedFlowsComponentsCards?.length > 0)}
+        />
+      )}
+
+      <CardsWrapComponent
+        onFileDrop={handleFileDrop}
+        dragMessage={`Drag your ${name} here`}
+      >
+        <div className="flex h-full w-full flex-col justify-between">
+          <div className="flex w-full flex-col gap-4">
+            {!isLoading && data?.length === 0 ? (
+              <EmptyComponent />
+            ) : (
+              <div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
+                {isLoading === false && data?.length > 0 ? (
+                  <>
+                    {data?.map((item) => (
+                      <FormProvider {...methods} key={item.id}>
+                        <form>
+                          <CollectionCardComponent
+                            is_component={type === "component"}
+                            data={{
+                              is_component: item.is_component ?? false,
+                              ...item,
+                            }}
+                            disabled={isLoading}
+                            data-testid={"edit-flow-button-" + item.id}
+                            button={
+                              !item.is_component ? (
+                                <Link to={"/flow/" + item.id}>
+                                  <Button
+                                    tabIndex={-1}
+                                    variant="outline"
+                                    size="sm"
+                                    className="whitespace-nowrap"
+                                    data-testid={"edit-flow-button-" + item.id}
+                                  >
+                                    <IconComponent
+                                      name="ExternalLink"
+                                      className="main-page-nav-button select-none"
+                                    />
+                                    Edit Flow
+                                  </Button>
+                                </Link>
+                              ) : (
+                                <></>
+                              )
+                            }
+                            onClick={
+                              !item.is_component
+                                ? () => {
+                                    navigate("/flow/" + item.id);
+                                  }
+                                : undefined
+                            }
+                            playground={!item.is_component}
+                            control={control}
+                          />
+                        </form>
+                      </FormProvider>
+                    ))}
+                  </>
+                ) : (
+                  <>
+                    <SkeletonCardComponent />
+                    <SkeletonCardComponent />
+                  </>
+                )}
+              </div>
+            )}
+          </div>
+          {!isLoading && data?.length > 0 && (
+            <div className="relative py-6">
+              <PaginatorComponent
+                storeComponent={true}
+                pageIndex={pageIndex}
+                pageSize={pageSize}
+                rowsCount={[10, 20, 50, 100]}
+                totalRowsCount={getTotalRowsCount()}
+                paginate={(pageSize, pageIndex) => {
+                  setPageIndex(pageIndex);
+                  setPageSize(pageSize);
+                }}
+              ></PaginatorComponent>
+            </div>
+          )}
+        </div>
+      </CardsWrapComponent>
+      {openDelete && (
+        <DeleteConfirmationModal
+          open={openDelete}
+          setOpen={setOpenDelete}
+          onConfirm={handleDeleteMultiple}
+          description={getDescriptionModal}
+        >
+          <></>
+        </DeleteConfirmationModal>
+      )}
+    </>
+  );
+}
diff --git a/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
new file mode 100644
index 000000000..0655b6f47
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
@@ -0,0 +1,41 @@
+import { useNavigate } from "react-router-dom";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+
+type EmptyComponentProps = {};
+
+const EmptyComponent = ({}: EmptyComponentProps) => {
+  const addFlow = useFlowsManagerStore((state) => state.addFlow);
+  const navigate = useNavigate();
+
+  return (
+    <>
+      <div className="mt-6 flex w-full items-center justify-center text-center">
+        <div className="flex-max-width h-full flex-col">
+          <div className="flex w-full flex-col gap-4">
+            <div className="grid w-full gap-4 text-muted-foreground">
+              Flows and components can be created using Langflow.
+            </div>
+            <div className="align-center flex w-full justify-center gap-1 ">
+              <span className="text-muted-foreground">New?</span>
+              <span className="transition-colors hover:text-muted-foreground">
+                <button
+                  onClick={() => {
+                    addFlow(true).then((id) => {
+                      navigate("/flow/" + id);
+                    });
+                  }}
+                  className="underline"
+                >
+                  Start Here
+                </button>
+                .
+              </span>
+              <span className="animate-pulse">🚀</span>
+            </div>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+};
+export default EmptyComponent;
diff --git a/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
new file mode 100644
index 000000000..5b556f162
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
@@ -0,0 +1,85 @@
+import { useState } from "react";
+import IconComponent from "../../../../components/genericIconComponent";
+import {
+  Select,
+  SelectContent,
+  SelectGroup,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "../../../../components/ui/select";
+import { Checkbox } from "../../../../components/ui/checkbox";
+import { Button } from "../../../../components/ui/button";
+import { cn } from "../../../../utils/utils";
+import ShadTooltip from "../../../../components/shadTooltipComponent";
+
+type HeaderComponentProps = {
+  handleSelectAll: (select) => void;
+  handleDelete: () => void;
+  disableDelete: boolean;
+};
+
+const HeaderComponent = ({
+  handleSelectAll,
+  handleDelete,
+  disableDelete,
+}: HeaderComponentProps) => {
+  const [shouldSelectAll, setShouldSelectAll] = useState(true);
+
+  const handleClick = () => {
+    handleSelectAll(shouldSelectAll);
+    setShouldSelectAll((prevState) => !prevState);
+  };
+
+  return (
+    <>
+      <div className="grid grid-cols-3 pb-5">
+        <div className="col-auto grid-cols-1 self-center justify-self-start">
+          <a onClick={handleClick} className="text-sm">
+            <div className="header-menu-bar-display ">
+              <div
+                className="header-menu-flow-name"
+                data-testid="select_all_collection"
+              >
+                <div className="flex items-center space-x-2">
+                  <Checkbox checked={!shouldSelectAll} id="terms" />
+                  <label
+                    onClick={handleClick}
+                    htmlFor="terms"
+                    className="label cursor-pointer text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
+                  >
+                    {shouldSelectAll ? "Select All" : "Unselect All"}
+                  </label>
+                </div>
+              </div>
+            </div>
+          </a>
+        </div>
+        <div className="col-span-2 grid-cols-1 justify-self-end">
+          <div>
+            <ShadTooltip
+              content={
+                disableDelete ? (
+                  <span>Select items to delete</span>
+                ) : (
+                  <span>Delete selected items</span>
+                )
+              }
+            >
+              <button onClick={handleDelete} disabled={disableDelete}>
+                <IconComponent
+                  name="Trash2"
+                  className={cn(
+                    "h-5 w-5 text-primary transition-all",
+                    disableDelete ? "" : "hover:text-destructive",
+                  )}
+                />
+              </button>
+            </ShadTooltip>
+          </div>
+        </div>
+      </div>
+    </>
+  );
+};
+export default HeaderComponent;
diff --git a/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx
new file mode 100644
index 000000000..496dfe286
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx
@@ -0,0 +1,58 @@
+// Modals.tsx
+import IconComponent from "../../../../components/genericIconComponent";
+import { Button } from "../../../../components/ui/button";
+import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal";
+import FoldersModal from "../../../../modals/foldersModal";
+import NewFlowModal from "../../../../modals/newFlowModal";
+import { cn } from "../../../../utils/utils";
+
+interface ModalsProps {
+  openModal: boolean;
+  setOpenModal: (value: boolean) => void;
+  openFolderModal: boolean;
+  setOpenFolderModal: (value: boolean) => void;
+  openDeleteFolderModal: boolean;
+  setOpenDeleteFolderModal: (value: boolean) => void;
+  handleDeleteFolder: () => void;
+}
+
+const ModalsComponent = ({
+  openModal,
+  setOpenModal,
+  openFolderModal,
+  setOpenFolderModal,
+  openDeleteFolderModal,
+  setOpenDeleteFolderModal,
+  handleDeleteFolder,
+}: ModalsProps) => (
+  <>
+    {openModal && <NewFlowModal open={openModal} setOpen={setOpenModal} />}
+    {openFolderModal && (
+      <FoldersModal open={openFolderModal} setOpen={setOpenFolderModal} />
+    )}
+    {openDeleteFolderModal && (
+      <DeleteConfirmationModal
+        open={openDeleteFolderModal}
+        setOpen={setOpenDeleteFolderModal}
+        onConfirm={() => {
+          handleDeleteFolder();
+          setOpenDeleteFolderModal(false);
+        }}
+        description="folder"
+        note={
+          "Deleting the selected folder will remove all associated flows and components."
+        }
+      >
+        <Button variant="ghost" size="icon" className={"whitespace-nowrap"}>
+          <IconComponent
+            data-testid={`delete-folder`}
+            name="Trash2"
+            className={cn("h-5 w-5")}
+          />
+        </Button>
+      </DeleteConfirmationModal>
+    )}
+  </>
+);
+
+export default ModalsComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx
new file mode 100644
index 000000000..a15b84601
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx
@@ -0,0 +1,49 @@
+import { useState } from "react";
+import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
+import InputSearchComponent from "../inputSearchComponent";
+import TabsSearchComponent from "../tabsComponent";
+import { Button } from "../../../../../../components/ui/button";
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+import useAlertStore from "../../../../../../stores/alertStore";
+import { handleDownloadFolderFn } from "../../../../utils/handle-download-folder";
+import { useFolderStore } from "../../../../../../stores/foldersStore";
+import { useLocation } from "react-router-dom";
+
+type HeaderTabsSearchComponentProps = {};
+
+const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => {
+  const location = useLocation();
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+  const folderId = location?.state?.folderId || myCollectionId;
+  const isLoading = useFlowsManagerStore((state) => state.isLoading);
+  const [tabActive, setTabActive] = useState("Flows");
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const handleDownloadFolder = () => {
+    if (allFlows.length === 0) {
+      setErrorData({
+        title: "Folder is empty",
+        list: [],
+      });
+      return;
+    }
+    handleDownloadFolderFn(folderId);
+  };
+
+  return (
+    <>
+      <div className="relative flex items-end gap-4">
+        <InputSearchComponent loading={isLoading} />
+
+        <TabsSearchComponent
+          tabsOptions={["All", "Flows", "Components"]}
+          setActiveTab={setTabActive}
+          loading={isLoading}
+          tabActive={tabActive}
+        />
+      </div>
+    </>
+  );
+};
+export default HeaderTabsSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx
new file mode 100644
index 000000000..382dd4274
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx
@@ -0,0 +1,72 @@
+import { useState } from "react";
+import { Input } from "../../../../../../components/ui/input";
+import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
+import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
+
+type InputSearchComponentProps = {
+  loading: boolean;
+};
+
+const InputSearchComponent = ({ loading }: InputSearchComponentProps) => {
+  const pagePath = window.location.pathname;
+
+  const [inputValue, setInputValue] = useState("");
+  const allFlows = useFlowsManagerStore((state) => state.allFlows);
+
+  const setSearchFlowsComponents = useFlowsManagerStore(
+    (state) => state.setSearchFlowsComponents,
+  );
+
+  const searchFlowsComponents = useFlowsManagerStore(
+    (state) => state.searchFlowsComponents,
+  );
+
+  const disableInputSearch =
+    loading ||
+    !allFlows ||
+    (allFlows?.length === 0 && searchFlowsComponents === "");
+
+  const getSearchPlaceholder = () => {
+    if (pagePath.includes("flows")) {
+      return "Search Flows";
+    } else if (pagePath.includes("components")) {
+      return "Search Components";
+    } else {
+      return "Search Flows and Components";
+    }
+  };
+
+  return (
+    <>
+      <div className="relative h-12 w-[60%]">
+        <Input
+          data-testid="search-store-input"
+          disabled={disableInputSearch}
+          placeholder={getSearchPlaceholder()}
+          className="absolute h-12 pl-5 pr-12"
+          onChange={(e) => {
+            setSearchFlowsComponents(e.target.value);
+            setInputValue(e.target.value);
+          }}
+          onKeyDown={(e) => {
+            if (e.key === "Enter") {
+              setSearchFlowsComponents(inputValue);
+            }
+          }}
+          value={inputValue}
+        />
+        <button
+          disabled={loading}
+          className="absolute bottom-0 right-4 top-0 my-auto h-6 cursor-pointer stroke-1 text-muted-foreground"
+          data-testid="search-store-button"
+        >
+          <ForwardedIconComponent
+            name={loading ? "Loader2" : "Search"}
+            className={loading ? " animate-spin cursor-not-allowed" : ""}
+          />
+        </button>
+      </div>
+    </>
+  );
+};
+export default InputSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx
new file mode 100644
index 000000000..8a3bb5bae
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx
@@ -0,0 +1,77 @@
+import { useEffect } from "react";
+import { useNavigate } from "react-router-dom";
+import { useFolderStore } from "../../../../../../stores/foldersStore";
+
+type TabsSearchComponentProps = {
+  tabsOptions: string[];
+  setActiveTab: (tab: string) => void;
+  loading: boolean;
+  tabActive: string;
+};
+
+const TabsSearchComponent = ({
+  tabsOptions,
+  setActiveTab,
+  loading,
+  tabActive,
+}: TabsSearchComponentProps) => {
+  const navigate = useNavigate();
+  const folderUrl = useFolderStore((state) => state.folderUrl);
+
+  const changeLocation = (tabOption) => {
+    const location = window.location.pathname;
+    let newLocation = "";
+    switch (tabOption) {
+      case "Flows":
+        newLocation = location.replace(/components|all/, "flows");
+        break;
+      case "Components":
+        newLocation = location.replace(/flows|all/, "components");
+        break;
+      default:
+        newLocation = location.replace(/flows|components/, "all");
+        break;
+    }
+
+    navigate(newLocation, { state: { folderId: folderUrl } });
+  };
+
+  useEffect(() => {
+    const path = window.location.pathname;
+    if (path.includes("components")) {
+      setActiveTab("Components");
+    } else if (path.includes("flows")) {
+      setActiveTab("Flows");
+    } else {
+      setActiveTab("All");
+    }
+  }, [window.location.pathname]);
+
+  return (
+    <>
+      <div className="ml-4 flex w-full gap-2 border-b border-border">
+        {tabsOptions.map((tabOption, index) => {
+          return (
+            <button
+              key={index}
+              data-testid={`${tabOption}-button-store`}
+              disabled={loading}
+              onClick={() => {
+                changeLocation(tabOption);
+              }}
+              className={
+                (tabActive === tabOption
+                  ? "border-b-2 border-primary p-3"
+                  : " border-b-2 border-transparent p-3 text-muted-foreground hover:text-primary") +
+                (loading ? " cursor-not-allowed " : "")
+              }
+            >
+              {tabOption}
+            </button>
+          );
+        })}
+      </div>
+    </>
+  );
+};
+export default TabsSearchComponent;
diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
new file mode 100644
index 000000000..f61a48eb2
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
@@ -0,0 +1,19 @@
+import ComponentsComponent from "../componentsComponent";
+import HeaderTabsSearchComponent from "./components/headerTabsSearchComponent";
+
+type MyCollectionComponentProps = {
+  key: string;
+  type: string;
+};
+
+const MyCollectionComponent = ({ key, type }: MyCollectionComponentProps) => {
+  return (
+    <>
+      <HeaderTabsSearchComponent />
+      <div className="mt-5 flex h-full flex-col">
+        <ComponentsComponent key={key} type={type} />
+      </div>
+    </>
+  );
+};
+export default MyCollectionComponent;
diff --git a/src/frontend/src/pages/MainPage/entities/index.tsx b/src/frontend/src/pages/MainPage/entities/index.tsx
new file mode 100644
index 000000000..74c3c773f
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/entities/index.tsx
@@ -0,0 +1,26 @@
+import { FlowType } from "../../../types/flow";
+
+export type FolderType = {
+  name: string;
+  description: string;
+  id?: string | null;
+  parent_id: string;
+  flows: FlowType[];
+};
+
+export type AddFolderType = {
+  name: string;
+  description: string;
+  id?: string | null;
+  parent_id: string;
+  flows?: string[];
+  components?: string[];
+};
+
+export type StarterProjectsType = {
+  name?: string;
+  description?: string;
+  flows?: FlowType[];
+  id: string;
+  parent_id: string;
+};
diff --git a/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx
new file mode 100644
index 000000000..257f1b6d2
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx
@@ -0,0 +1,32 @@
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+import { deleteFolder, getFolderById } from "../services";
+
+const useDeleteFolder = ({ navigate, getFoldersApi }) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const folderToEdit = useFolderStore((state) => state.folderToEdit);
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+
+  const handleDeleteFolder = () => {
+    deleteFolder(folderToEdit?.id!)
+      .then(() => {
+        setSuccessData({
+          title: "Folder deleted successfully.",
+        });
+        getFolderById(myCollectionId!);
+        getFoldersApi(true);
+        navigate("/all");
+      })
+      .catch((err) => {
+        console.error(err);
+        setErrorData({
+          title: "Error deleting folder.",
+        });
+      });
+  };
+
+  return { handleDeleteFolder };
+};
+
+export default useDeleteFolder;
diff --git a/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx
new file mode 100644
index 000000000..69e2c2df3
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx
@@ -0,0 +1,36 @@
+import { CONSOLE_ERROR_MSG } from "../../../constants/alerts_constants";
+import useAlertStore from "../../../stores/alertStore";
+
+const useDropdownOptions = ({ uploadFlow, navigate, is_component }) => {
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const handleImportFromJSON = () => {
+    uploadFlow({
+      newProject: true,
+      isComponent: is_component,
+    })
+      .then((id) => {
+        setSuccessData({
+          title: `${is_component ? "Component" : "Flow"} uploaded successfully`,
+        });
+        if (!is_component) navigate("/flow/" + id);
+      })
+      .catch((error) => {
+        setErrorData({
+          title: CONSOLE_ERROR_MSG,
+          list: [error],
+        });
+      });
+  };
+
+  const dropdownOptions = [
+    {
+      name: "Import from JSON",
+      onBtnClick: handleImportFromJSON,
+    },
+  ];
+
+  return [...dropdownOptions];
+};
+
+export default useDropdownOptions;
diff --git a/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx
new file mode 100644
index 000000000..c0b898dfa
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx
@@ -0,0 +1,64 @@
+import { useLocation } from "react-router-dom";
+import {
+  CONSOLE_ERROR_MSG,
+  UPLOAD_ALERT_LIST,
+  WRONG_FILE_ERROR_ALERT,
+} from "../../../constants/alerts_constants";
+import useAlertStore from "../../../stores/alertStore";
+import { useFolderStore } from "../../../stores/foldersStore";
+
+const useFileDrop = (uploadFlow, type) => {
+  const location = useLocation();
+  const setSuccessData = useAlertStore((state) => state.setSuccessData);
+  const setErrorData = useAlertStore((state) => state.setErrorData);
+  const getFolderById = useFolderStore((state) => state.getFolderById);
+  const folderId = location?.state?.folderId;
+  const myCollectionId = useFolderStore((state) => state.myCollectionId);
+
+  const handleFileDrop = (e) => {
+    e.preventDefault();
+    if (e.dataTransfer.types.some((type) => type === "Files")) {
+      const file = e.dataTransfer.files.item(0);
+
+      if (file.type === "application/json") {
+        const reader = new FileReader();
+
+        reader.onload = (event) => {
+          const fileContent = event.target!.result;
+          const fileContentJson = JSON.parse(fileContent as string);
+          const is_component = fileContentJson.is_component;
+          uploadFlow({
+            newProject: true,
+            file: file,
+            isComponent: type === "all" ? null : type === "component",
+          })
+            .then(() => {
+              setSuccessData({
+                title: `${
+                  is_component ? "Component" : "Flow"
+                } uploaded successfully`,
+              });
+              getFolderById(folderId ? folderId : myCollectionId);
+            })
+            .catch((error) => {
+              setErrorData({
+                title: CONSOLE_ERROR_MSG,
+                list: [error],
+              });
+            });
+        };
+
+        reader.readAsText(file);
+      } else {
+        setErrorData({
+          title: WRONG_FILE_ERROR_ALERT,
+          list: [UPLOAD_ALERT_LIST],
+        });
+      }
+    }
+  };
+
+  return [handleFileDrop];
+};
+
+export default useFileDrop;
diff --git a/src/frontend/src/pages/MainPage/index.tsx b/src/frontend/src/pages/MainPage/index.tsx
deleted file mode 100644
index 08de20b31..000000000
--- a/src/frontend/src/pages/MainPage/index.tsx
+++ /dev/null
@@ -1,121 +0,0 @@
-import { Group, ToyBrick } from "lucide-react";
-import { useEffect, useState } from "react";
-import { Outlet, useLocation, useNavigate } from "react-router-dom";
-import DropdownButton from "../../components/dropdownButtonComponent";
-import IconComponent from "../../components/genericIconComponent";
-import PageLayout from "../../components/pageLayout";
-import SidebarNav from "../../components/sidebarComponent";
-import { Button } from "../../components/ui/button";
-import { CONSOLE_ERROR_MSG } from "../../constants/alerts_constants";
-import {
-  MY_COLLECTION_DESC,
-  USER_PROJECTS_HEADER,
-} from "../../constants/constants";
-import NewFlowModal from "../../modals/newFlowModal";
-import useAlertStore from "../../stores/alertStore";
-import useFlowsManagerStore from "../../stores/flowsManagerStore";
-import { downloadFlows } from "../../utils/reactflowUtils";
-export default function HomePage(): JSX.Element {
-  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
-  const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
-  );
-  const uploadFlows = useFlowsManagerStore((state) => state.uploadFlows);
-  const setSuccessData = useAlertStore((state) => state.setSuccessData);
-  const setErrorData = useAlertStore((state) => state.setErrorData);
-  const location = useLocation();
-  const pathname = location.pathname;
-  const [openModal, setOpenModal] = useState(false);
-  const is_component = pathname === "/components";
-  const dropdownOptions = [
-    {
-      name: "Import from JSON",
-      onBtnClick: () => {
-        uploadFlow({
-          newProject: true,
-          isComponent: is_component,
-        })
-          .then((id) => {
-            setSuccessData({
-              title: `${
-                is_component ? "Component" : "Flow"
-              } uploaded successfully`,
-            });
-            if (!is_component) navigate("/flow/" + id);
-          })
-          .catch((error) => {
-            setErrorData({
-              title: CONSOLE_ERROR_MSG,
-              list: [error],
-            });
-          });
-      },
-    },
-  ];
-  const sidebarNavItems = [
-    {
-      title: "Flows",
-      href: "/flows",
-      icon: <Group className="w-5 stroke-[1.5]" />,
-    },
-    {
-      title: "Components",
-      href: "/components",
-      icon: <ToyBrick className="mx-[0.08rem] w-[1.1rem] stroke-[1.5]" />,
-    },
-  ];
-
-  // Set a null id
-  useEffect(() => {
-    setCurrentFlowId("");
-  }, [pathname]);
-
-  const navigate = useNavigate();
-
-  // Personal flows display
-  return (
-    <PageLayout
-      title={USER_PROJECTS_HEADER}
-      description={MY_COLLECTION_DESC}
-      button={
-        <div className="flex gap-2">
-          <Button
-            variant="primary"
-            onClick={() => {
-              downloadFlows();
-            }}
-          >
-            <IconComponent name="Download" className="main-page-nav-button" />
-            Download Collection
-          </Button>
-          <Button
-            variant="primary"
-            onClick={() => {
-              uploadFlows();
-            }}
-          >
-            <IconComponent name="Upload" className="main-page-nav-button" />
-            Upload Collection
-          </Button>
-          <DropdownButton
-            firstButtonName="New Project"
-            onFirstBtnClick={() => setOpenModal(true)}
-            options={dropdownOptions}
-            plusButton={true}
-            dropdownOptions={false}
-          />
-        </div>
-      }
-    >
-      <div className="flex h-full w-full space-y-8 lg:flex-row lg:space-x-8 lg:space-y-0">
-        <aside className="flex h-full flex-col space-y-6 lg:w-1/5">
-          <SidebarNav items={sidebarNavItems} />
-        </aside>
-        <div className="h-full w-full flex-1">
-          <Outlet />
-        </div>
-      </div>
-      <NewFlowModal open={openModal} setOpen={setOpenModal} />
-    </PageLayout>
-  );
-}
diff --git a/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
new file mode 100644
index 000000000..1511e113f
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
@@ -0,0 +1,105 @@
+import { useEffect, useState } from "react";
+import { Outlet, useLocation, useNavigate } from "react-router-dom";
+import DropdownButton from "../../../../components/dropdownButtonComponent";
+import PageLayout from "../../../../components/pageLayout";
+import SidebarNav from "../../../../components/sidebarComponent";
+import {
+  MY_COLLECTION_DESC,
+  USER_PROJECTS_HEADER,
+} from "../../../../constants/constants";
+import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
+import { useFolderStore } from "../../../../stores/foldersStore";
+import ModalsComponent from "../../components/modalsComponent";
+import useDeleteFolder from "../../hooks/use-delete-folder";
+import useDropdownOptions from "../../hooks/use-dropdown-options";
+
+export default function HomePage(): JSX.Element {
+  const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
+  const setCurrentFlowId = useFlowsManagerStore(
+    (state) => state.setCurrentFlowId
+  );
+
+  const location = useLocation();
+  const pathname = location.pathname;
+  const [openModal, setOpenModal] = useState(false);
+  const [openFolderModal, setOpenFolderModal] = useState(false);
+  const [openDeleteFolderModal, setOpenDeleteFolderModal] = useState(false);
+  const is_component = pathname === "/components";
+  const getFoldersApi = useFolderStore((state) => state.getFoldersApi);
+  const setFolderToEdit = useFolderStore((state) => state.setFolderToEdit);
+  const navigate = useNavigate();
+
+  useEffect(() => {
+    setTimeout(() => {
+      getFoldersApi();
+    }, 300);
+  }, []);
+
+  useEffect(() => {
+    setCurrentFlowId("");
+  }, [pathname]);
+
+  const dropdownOptions = useDropdownOptions({
+    uploadFlow,
+    navigate,
+    is_component,
+  });
+
+  const { handleDeleteFolder } = useDeleteFolder({ navigate, getFoldersApi });
+
+  return (
+    <>
+      <PageLayout
+        title={USER_PROJECTS_HEADER}
+        description={MY_COLLECTION_DESC}
+        button={
+          <div className="flex gap-2">
+            <DropdownButton
+              firstButtonName="New Project"
+              onFirstBtnClick={() => setOpenModal(true)}
+              options={dropdownOptions}
+              plusButton={true}
+              dropdownOptions={false}
+            />
+          </div>
+        }
+      >
+        <div className="flex h-full w-full space-y-8 md:flex-col lg:flex-row lg:space-x-8 lg:space-y-0">
+          <aside className="flex h-fit w-fit flex-col space-y-6">
+            <SidebarNav
+              handleOpenNewFolderModal={() => {
+                setFolderToEdit(null);
+                setOpenFolderModal(true);
+              }}
+              items={[]}
+              handleChangeFolder={(id: string) => {
+                navigate(`all/folder/${id}`, { state: { folderId: id } });
+              }}
+              handleEditFolder={(item) => {
+                setFolderToEdit(item);
+                setOpenFolderModal(true);
+              }}
+              handleDeleteFolder={(item) => {
+                setFolderToEdit(item);
+                setOpenDeleteFolderModal(true);
+              }}
+              className="w-[20vw]"
+            />
+          </aside>
+          <div className="relative h-full w-full flex-1">
+            <Outlet />
+          </div>
+        </div>
+      </PageLayout>
+      <ModalsComponent
+        openModal={openModal}
+        setOpenModal={setOpenModal}
+        openFolderModal={openFolderModal}
+        setOpenFolderModal={setOpenFolderModal}
+        openDeleteFolderModal={openDeleteFolderModal}
+        setOpenDeleteFolderModal={setOpenDeleteFolderModal}
+        handleDeleteFolder={handleDeleteFolder}
+      />
+    </>
+  );
+}
diff --git a/src/frontend/src/pages/MainPage/services/index.ts b/src/frontend/src/pages/MainPage/services/index.ts
new file mode 100644
index 000000000..a554cd1d9
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/services/index.ts
@@ -0,0 +1,121 @@
+import { BASE_URL_API } from "../../../constants/constants";
+import { api } from "../../../controllers/API/api";
+import { FlowType } from "../../../types/flow";
+import { AddFolderType, FolderType, StarterProjectsType } from "../entities";
+
+export async function getFolders(): Promise<FolderType[]> {
+  try {
+    const response = await api.get(`${BASE_URL_API}folders/`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function addFolder(data: AddFolderType): Promise<FolderType> {
+  const body = {
+    name: data.name,
+    description: data.description,
+    flows_list: data.flows ?? [],
+    components_list: data.components ?? [],
+  };
+
+  try {
+    const response = await api.post(`${BASE_URL_API}folders/`, body);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function updateFolder(
+  body: FolderType,
+  folderId: string,
+): Promise<FolderType> {
+  try {
+    const response = await api.patch(
+      `${BASE_URL_API}folders/${folderId}`,
+      body,
+    );
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function deleteFolder(folderId: string) {
+  try {
+    const response = await api.delete(`${BASE_URL_API}folders/${folderId}`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function getFolderById(folderId: string): Promise<FolderType> {
+  try {
+    const response = await api.get(`${BASE_URL_API}folders/${folderId}`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function getStarterProjects(): Promise<StarterProjectsType> {
+  try {
+    const response = await api.get(`${BASE_URL_API}folders/starter-projects`);
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
+
+export async function downloadFlowsFromFolders(folderId: string): Promise<{
+  flows: FlowType[];
+  folder_name: string;
+  folder_description: string;
+}> {
+  try {
+    const response = await api.get(
+      `${BASE_URL_API}folders/download/${folderId}`,
+    );
+    if (response?.status !== 200) {
+      throw new Error(`HTTP error! status: ${response?.status}`);
+    }
+    console.log(response.data);
+    return response.data;
+  } catch (error) {
+    console.error(error);
+    throw error;
+  }
+}
+
+export async function uploadFlowsFromFolders(
+  flows: FormData,
+): Promise<FlowType[]> {
+  try {
+    const response = await api.post(`${BASE_URL_API}folders/upload/`, flows);
+
+    if (response?.status !== 201) {
+      throw new Error(`HTTP error! status: ${response?.status}`);
+    }
+    return response.data;
+  } catch (error) {
+    console.error(error);
+    throw error;
+  }
+}
+
+export async function moveFlowToFolder(
+  flowId: string,
+  folderId: string,
+): Promise<FlowType> {
+  try {
+    const response = await api.patch(
+      `${BASE_URL_API}folders/move_to_folder/${flowId}/${folderId}`,
+    );
+    return response?.data;
+  } catch (error) {
+    throw error;
+  }
+}
diff --git a/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts
new file mode 100644
index 000000000..a2a495fa9
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts
@@ -0,0 +1,10 @@
+export const getNameByType = (type: string) => {
+  switch (type) {
+    case "all":
+      return "Component or Flow";
+    case "component":
+      return "Component";
+    default:
+      return "Flow";
+  }
+};
diff --git a/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts
new file mode 100644
index 000000000..6817622d0
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts
@@ -0,0 +1,23 @@
+import { useFolderStore } from "../../../stores/foldersStore";
+import { downloadFlowsFromFolders } from "../services";
+
+export function handleDownloadFolderFn(folderId: string) {
+  downloadFlowsFromFolders(folderId).then((data) => {
+    const folders = useFolderStore.getState().folders;
+
+    const folder = folders.find((f) => f.id === folderId);
+
+    data.folder_name = folder?.name || "folder";
+    data.folder_description = folder?.description || "";
+
+    const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent(
+      JSON.stringify(data),
+    )}`;
+
+    const link = document.createElement("a");
+    link.href = jsonString;
+    link.download = `${data.folder_name}.json`;
+
+    link.click();
+  });
+}
diff --git a/src/frontend/src/pages/MainPage/utils/sort-flows.ts b/src/frontend/src/pages/MainPage/utils/sort-flows.ts
new file mode 100644
index 000000000..1b8825102
--- /dev/null
+++ b/src/frontend/src/pages/MainPage/utils/sort-flows.ts
@@ -0,0 +1,25 @@
+export const sortFlows = (flows, type) => {
+  const isComponent = type === "component";
+
+  const sortByDate = (a, b) => {
+    const dateA = a?.updated_at || a?.date_created;
+    const dateB = b?.updated_at || b?.date_created;
+
+    if (dateA && dateB) {
+      return new Date(dateB).getTime() - new Date(dateA).getTime();
+    } else if (dateA) {
+      return 1;
+    } else if (dateB) {
+      return -1;
+    } else {
+      return 0;
+    }
+  };
+
+  const filteredFlows =
+    type === "all"
+      ? flows
+      : flows?.filter((f) => (f?.is_component ?? false) === isComponent);
+
+  return filteredFlows?.sort(sortByDate) ?? [];
+};
diff --git a/src/frontend/src/pages/SettingsPage/index.tsx b/src/frontend/src/pages/SettingsPage/index.tsx
index 554be79b6..e4f856599 100644
--- a/src/frontend/src/pages/SettingsPage/index.tsx
+++ b/src/frontend/src/pages/SettingsPage/index.tsx
@@ -8,7 +8,7 @@ import useFlowsManagerStore from "../../stores/flowsManagerStore";
 export default function SettingsPage(): JSX.Element {
   const pathname = location.pathname;
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
   useEffect(() => {
     setCurrentFlowId("");
@@ -25,36 +25,7 @@ export default function SettingsPage(): JSX.Element {
         />
       ),
     },
-    /* {
-        title: "Theme",
-        href: "/settings/theme",
-        icon: (
-          <ForwardedIconComponent
-            name="Palette"
-            className="mx-[0.08rem] w-[1.1rem] stroke-[1.5]"
-          />
-        ),
-      },
-      {
-        title: "Bundles",
-        href: "/settings/bundles",
-        icon: (
-          <ForwardedIconComponent
-            name="Boxes"
-            className="mx-[0.08rem] w-[1.1rem] stroke-[1.5]"
-          />
-        ),
-      },
-      {
-        title: "Integrations",
-        href: "/settings/integrations",
-        icon: (
-          <ForwardedIconComponent
-            name="Blocks"
-            className="mx-[0.08rem] w-[1.1rem] stroke-[1.5]"
-          />
-        ),
-      }, */
+
     {
       title: "Global Variables",
       href: "/settings/global-variables",
diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx
index 1dd4bb551..5c53e0aa8 100644
--- a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx
+++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx
@@ -32,11 +32,11 @@ import { gradients } from "../../../../utils/styleUtils";
 
 export default function GeneralPage() {
   const setCurrentFlowId = useFlowsManagerStore(
-    (state) => state.setCurrentFlowId
+    (state) => state.setCurrentFlowId,
   );
 
   const [inputState, setInputState] = useState<patchUserInputStateType>(
-    CONTROL_PATCH_USER_STATE
+    CONTROL_PATCH_USER_STATE,
   );
 
   const { autoLogin } = useContext(AuthContext);
diff --git a/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
index 1d10c16ac..b2cebc963 100644
--- a/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
+++ b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
@@ -46,7 +46,7 @@ export default function GlobalVariablesPage() {
       name: string;
       default_fields: string | undefined;
     }[]
-  >();
+  >([]);
 
   useEffect(() => {
     const rows: Array<{
diff --git a/src/frontend/src/routes.tsx b/src/frontend/src/routes.tsx
index 434b657be..49b905f41 100644
--- a/src/frontend/src/routes.tsx
+++ b/src/frontend/src/routes.tsx
@@ -10,8 +10,8 @@ import ApiKeysPage from "./pages/ApiKeysPage";
 import DeleteAccountPage from "./pages/DeleteAccountPage";
 import FlowPage from "./pages/FlowPage";
 import LoginPage from "./pages/LoginPage";
-import HomePage from "./pages/MainPage";
-import ComponentsComponent from "./pages/MainPage/components/components";
+import MyCollectionComponent from "./pages/MainPage/components/myCollectionComponent";
+import HomePage from "./pages/MainPage/pages/mainPage";
 import PlaygroundPage from "./pages/Playground";
 import SettingsPage from "./pages/SettingsPage";
 import GeneralPage from "./pages/SettingsPage/pages/GeneralPage";
@@ -32,14 +32,18 @@ const Router = () => {
           </ProtectedRoute>
         }
       >
-        <Route index element={<Navigate replace to={"flows"} />} />
+        <Route index element={<Navigate replace to={"all"} />} />
         <Route
-          path="flows"
-          element={<ComponentsComponent key="flows" is_component={false} />}
+          path="flows/*"
+          element={<MyCollectionComponent key="flows" type="flow" />}
         />
         <Route
-          path="components"
-          element={<ComponentsComponent key="components" />}
+          path="components/*"
+          element={<MyCollectionComponent key="components" type="component" />}
+        />
+        <Route
+          path="all/*"
+          element={<MyCollectionComponent key="all" type="all" />}
         />
       </Route>
       <Route
@@ -89,6 +93,14 @@ const Router = () => {
         }
       </Route>
       <Route path="/flow/:id/">
+        <Route
+          path="*"
+          element={
+            <ProtectedRoute>
+              <FlowPage />
+            </ProtectedRoute>
+          }
+        />
         <Route
           path=""
           element={
diff --git a/src/frontend/src/stores/flowsManagerStore.ts b/src/frontend/src/stores/flowsManagerStore.ts
index cd3401407..d9583a0cd 100644
--- a/src/frontend/src/stores/flowsManagerStore.ts
+++ b/src/frontend/src/stores/flowsManagerStore.ts
@@ -2,17 +2,16 @@ import { AxiosError } from "axios";
 import { cloneDeep, debounce } from "lodash";
 import { Edge, Node, Viewport, XYPosition } from "reactflow";
 import { create } from "zustand";
-import {
-  SAVE_DEBOUNCE_TIME,
-  STARTER_FOLDER_NAME,
-} from "../constants/constants";
+import { SAVE_DEBOUNCE_TIME } from "../constants/constants";
 import {
   deleteFlowFromDatabase,
+  multipleDeleteFlowsComponents,
   readFlowsFromDatabase,
   saveFlowToDatabase,
   updateFlowInDatabase,
   uploadFlowsToDatabase,
 } from "../controllers/API";
+import { getStarterProjects } from "../pages/MainPage/services";
 import { FlowType, NodeDataType } from "../types/flow";
 import {
   FlowsManagerStoreType,
@@ -29,6 +28,7 @@ import {
 import useAlertStore from "./alertStore";
 import { useDarkStore } from "./darkStore";
 import useFlowStore from "./flowStore";
+import { useFolderStore } from "./foldersStore";
 import { useTypesStore } from "./typesStore";
 
 let saveTimeoutId: NodeJS.Timeout | null = null;
@@ -63,6 +63,10 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     }));
   },
   flows: [],
+  allFlows: [],
+  setAllFlows: (allFlows: FlowType[]) => {
+    set({ allFlows });
+  },
   setFlows: (flows: FlowType[]) => {
     set({
       flows,
@@ -76,38 +80,39 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
   refreshFlows: () => {
     return new Promise<void>((resolve, reject) => {
       set({ isLoading: true });
-      readFlowsFromDatabase()
-        .then((dbData) => {
-          if (dbData) {
-            const { data, flows } = processFlows(dbData, false);
-            get().setExamples(
-              flows.filter(
-                (f) => f.folder === STARTER_FOLDER_NAME && !f.user_id
-              )
-            );
-            get().setFlows(
-              flows.filter(
-                (f) => !(f.folder === STARTER_FOLDER_NAME && !f.user_id)
-              )
-            );
-            useTypesStore.setState((state) => ({
-              data: { ...state.data, ["saved_components"]: data },
-              ComponentFields: extractFieldsFromComponenents({
-                ...state.data,
-                ["saved_components"]: data,
-              }),
-            }));
+
+      getStarterProjects().then((starterProjects) => {
+        get().setExamples(starterProjects?.flows!);
+
+        readFlowsFromDatabase()
+          .then((dbData) => {
+            if (dbData) {
+              const { data, flows } = processFlows(dbData, false);
+              const starterProjectsIds = starterProjects.flows!.map(
+                (flow) => flow.id
+              );
+              get().setFlows(
+                flows.filter((f) => !starterProjectsIds.includes(f.id))
+              );
+              useTypesStore.setState((state) => ({
+                data: { ...state.data, ["saved_components"]: data },
+                ComponentFields: extractFieldsFromComponenents({
+                  ...state.data,
+                  ["saved_components"]: data,
+                }),
+              }));
+              set({ isLoading: false });
+              resolve();
+            }
+          })
+          .catch((e) => {
             set({ isLoading: false });
-            resolve();
-          }
-        })
-        .catch((e) => {
-          set({ isLoading: false });
-          useAlertStore.getState().setErrorData({
-            title: "Could not load flows from database",
+            useAlertStore.getState().setErrorData({
+              title: "Could not load flows from database",
+            });
+            reject(e);
           });
-          reject(e);
-        });
+      });
     });
   },
   autoSaveCurrentFlow: (nodes: Node[], edges: Edge[], viewport: Viewport) => {
@@ -190,7 +195,8 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
     newProject: Boolean,
     flow?: FlowType,
     override?: boolean,
-    position?: XYPosition
+    position?: XYPosition,
+    fromDragAndDrop?: boolean
   ): Promise<string | undefined> => {
     if (newProject) {
       let flowData = flow
@@ -202,6 +208,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
       if (override) {
         get().deleteComponent(flow!.name);
         const newFlow = createNewFlow(flowData!, flow!);
+        newFlow.folder_id = useFolderStore.getState().folderUrl;
         const { id } = await saveFlowToDatabase(newFlow);
         newFlow.id = id;
         //setTimeout  to prevent update state with wrong state
@@ -226,6 +233,8 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
       const newName = addVersionToDuplicates(newFlow, get().flows);
 
       newFlow.name = newName;
+      newFlow.folder_id = useFolderStore.getState().folderUrl;
+
       try {
         const { id } = await saveFlowToDatabase(newFlow);
         // Change the id to the new id.
@@ -258,25 +267,47 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
         );
     }
   },
-  removeFlow: async (id: string) => {
-    return new Promise<void>((resolve) => {
-      const index = get().flows.findIndex((flow) => flow.id === id);
-      if (index >= 0) {
-        deleteFlowFromDatabase(id).then(() => {
-          const { data, flows } = processFlows(
-            get().flows.filter((flow) => flow.id !== id)
-          );
-          get().setFlows(flows);
-          set({ isLoading: false });
-          useTypesStore.setState((state) => ({
-            data: { ...state.data, ["saved_components"]: data },
-            ComponentFields: extractFieldsFromComponenents({
-              ...state.data,
-              ["saved_components"]: data,
-            }),
-          }));
-          resolve();
-        });
+  removeFlow: async (id: string | string[]) => {
+    return new Promise<void>((resolve, reject) => {
+      if (Array.isArray(id)) {
+        multipleDeleteFlowsComponents(id)
+          .then(() => {
+            const { data, flows } = processFlows(
+              get().flows.filter((flow) => !id.includes(flow.id))
+            );
+            get().setFlows(flows);
+            set({ isLoading: false });
+            useTypesStore.setState((state) => ({
+              data: { ...state.data, ["saved_components"]: data },
+              ComponentFields: extractFieldsFromComponenents({
+                ...state.data,
+                ["saved_components"]: data,
+              }),
+            }));
+            resolve();
+          })
+          .catch((e) => reject(e));
+      } else {
+        const index = get().flows.findIndex((flow) => flow.id === id);
+        if (index >= 0) {
+          deleteFlowFromDatabase(id)
+            .then(() => {
+              const { data, flows } = processFlows(
+                get().flows.filter((flow) => flow.id !== id)
+              );
+              get().setFlows(flows);
+              set({ isLoading: false });
+              useTypesStore.setState((state) => ({
+                data: { ...state.data, ["saved_components"]: data },
+                ComponentFields: extractFieldsFromComponenents({
+                  ...state.data,
+                  ["saved_components"]: data,
+                }),
+              }));
+              resolve();
+            })
+            .catch((e) => reject(e));
+        }
       }
     });
   },
@@ -299,12 +330,12 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
   uploadFlow: async ({
     newProject,
     file,
-    isComponent = false,
+    isComponent,
     position = { x: 10, y: 10 },
   }: {
     newProject: boolean;
     file?: File;
-    isComponent?: boolean;
+    isComponent: boolean | null;
     position?: XYPosition;
   }): Promise<string | never> => {
     return new Promise(async (resolve, reject) => {
@@ -314,6 +345,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
         let fileData = JSON.parse(text);
         if (
           newProject &&
+          isComponent !== null &&
           ((!fileData.is_component && isComponent === true) ||
             (fileData.is_component !== undefined &&
               fileData.is_component !== isComponent))
@@ -326,7 +358,13 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
             });
             resolve("");
           } else {
-            id = await get().addFlow(newProject, fileData, undefined, position);
+            id = await get().addFlow(
+              newProject,
+              fileData,
+              undefined,
+              position,
+              true
+            );
             resolve(id);
           }
         }
@@ -435,6 +473,14 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
       newState.setEdges(futureState.edges);
     }
   },
+  searchFlowsComponents: "",
+  setSearchFlowsComponents: (searchFlowsComponents: string) => {
+    set({ searchFlowsComponents });
+  },
+  selectedFlowsComponentsCards: [],
+  setSelectedFlowsComponentsCards: (selectedFlowsComponentsCards: string[]) => {
+    set({ selectedFlowsComponentsCards });
+  },
 }));
 
 export default useFlowsManagerStore;
diff --git a/src/frontend/src/stores/foldersStore.tsx b/src/frontend/src/stores/foldersStore.tsx
new file mode 100644
index 000000000..76d7f7e0f
--- /dev/null
+++ b/src/frontend/src/stores/foldersStore.tsx
@@ -0,0 +1,104 @@
+import { create } from "zustand";
+import { DEFAULT_FOLDER } from "../constants/constants";
+import {
+  getFolderById,
+  getFolders,
+  uploadFlowsFromFolders,
+} from "../pages/MainPage/services";
+import { FoldersStoreType } from "../types/zustand/folders";
+import useFlowsManagerStore from "./flowsManagerStore";
+
+export const useFolderStore = create<FoldersStoreType>((set, get) => ({
+  folders: [],
+  getFoldersApi: (refetch = false) => {
+    if (get()?.folders.length === 0 || refetch === true) {
+      get().setLoading(true);
+      getFolders().then(
+        (res) => {
+          set({ folders: res });
+          const myCollectionId = res?.find(
+            (f) => f.name === DEFAULT_FOLDER
+          )?.id;
+          set({ myCollectionId });
+          get().setLoading(false);
+          useFlowsManagerStore.getState().refreshFlows();
+        },
+        () => {
+          set({ folders: [] });
+          get().setLoading(false);
+        }
+      );
+    }
+  },
+  setFolders: (folders) => set(() => ({ folders: folders })),
+  loading: false,
+  setLoading: (loading) => set(() => ({ loading: loading })),
+  getFolderById: (id) => {
+    get().setLoadingById(true);
+    if (id) {
+      getFolderById(id).then(
+        (res) => {
+          const setAllFlows = useFlowsManagerStore.getState().setAllFlows;
+          setAllFlows(res.flows);
+          set({ selectedFolder: res });
+          get().setLoadingById(false);
+        },
+        () => {
+          get().setLoadingById(false);
+        }
+      );
+    }
+  },
+  selectedFolder: null,
+  loadingById: false,
+  setLoadingById: (loading) => set(() => ({ loadingById: loading })),
+  getMyCollectionFolder: () => {
+    const folders = get().folders;
+    const myCollectionId = folders?.find((f) => f.name === DEFAULT_FOLDER)?.id;
+    if (myCollectionId) {
+      getFolderById(myCollectionId).then((res) => {
+        set({ myCollectionFlows: res });
+      });
+    }
+  },
+  setMyCollectionFlow: (folder) => set(() => ({ myCollectionFlows: folder })),
+  myCollectionFlows: null,
+  setMyCollectionId: () => {
+    const folders = get().folders;
+    const myCollectionId = folders?.find((f) => f.name === DEFAULT_FOLDER)?.id;
+    if (myCollectionId) {
+      set({ myCollectionId });
+    }
+  },
+  myCollectionId: "",
+  folderToEdit: null,
+  setFolderToEdit: (folder) => set(() => ({ folderToEdit: folder })),
+  folderUrl: "",
+  setFolderUrl: (url) => set(() => ({ folderUrl: url })),
+  folderDragging: false,
+  setFolderDragging: (folder) => set(() => ({ folderDragging: folder })),
+  folderIdDragging: "",
+  setFolderIdDragging: (id) => set(() => ({ folderIdDragging: id })),
+  uploadFolder: () => {
+    return new Promise<void>(() => {
+      const input = document.createElement("input");
+      input.type = "file";
+      input.onchange = (event: Event) => {
+        if (
+          (event.target as HTMLInputElement).files![0].type ===
+          "application/json"
+        ) {
+          const file = (event.target as HTMLInputElement).files![0];
+          const formData = new FormData();
+          formData.append("file", file);
+          uploadFlowsFromFolders(formData).then(() => {
+            get().getFoldersApi(true);
+            useFlowsManagerStore.getState().refreshFlows();
+          });
+          useFlowsManagerStore.getState().setAllFlows;
+        }
+      };
+      input.click();
+    });
+  },
+}));
diff --git a/src/frontend/src/stores/utilityStore.ts b/src/frontend/src/stores/utilityStore.ts
new file mode 100644
index 000000000..24889bc04
--- /dev/null
+++ b/src/frontend/src/stores/utilityStore.ts
@@ -0,0 +1,14 @@
+import { create } from "zustand";
+
+export const useUtilityStore = create<any>((set, get) => ({
+  selectedItems: [],
+  setSelectedItems: (itemId) => {
+    if (get().selectedItems.includes(itemId)) {
+      set({
+        selectedItems: get().selectedItems.filter((item) => item !== itemId),
+      });
+    } else {
+      set({ selectedItems: get().selectedItems.concat(itemId) });
+    }
+  },
+}));
diff --git a/src/frontend/src/style/index.css b/src/frontend/src/style/index.css
index e744fb503..881738da3 100644
--- a/src/frontend/src/style/index.css
+++ b/src/frontend/src/style/index.css
@@ -28,6 +28,7 @@
     --ring: 215 20.2% 65.1%; /* hsl(215 20% 65%) */
     --round-btn-shadow: #00000063;
     --ice: #31a3cc;
+    --selected: #2196f3;
 
     --error-background: #fef2f2;
     --error-foreground: #991b1b;
@@ -50,9 +51,8 @@
 
     --component-icon: #d8598a;
     --flow-icon: #2f67d0;
-    --hover: #F2F4F5;
+    --hover: #f2f4f5;
     --disabled-run: #6366f1;
-    
 
     /* Colors that are shared in dark and light mode */
     --blur-shared: #151923de;
@@ -71,9 +71,10 @@
   .dark {
     --background: 224 35% 7.5%; /* hsl(224 40% 10%) */
     --foreground: 213 31% 80%; /* hsl(213 31% 91%) */
-    --ice: #60A5FA;
-    --hover: #1A202E;
+    --ice: #60a5fa;
+    --hover: #1a202e;
     --disabled-run: #6366f1;
+    --selected: #2196f3;
 
     --muted: 223 27% 11%; /* hsl(223 27% 11%) */
     --muted-foreground: 215.4 16.3% 56.9%; /* hsl(215 16% 56%) */
diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts
index 8e78e2bc1..ec21c2609 100644
--- a/src/frontend/src/types/components/index.ts
+++ b/src/frontend/src/types/components/index.ts
@@ -30,6 +30,8 @@ export type InputComponentType = {
   setSelectedOption?: (value: string) => void;
   selectedOptions?: string[];
   setSelectedOptions?: (value: string[]) => void;
+  objectOptions?: Array<{ name: string; id: string }>;
+  isObjectOption?: boolean;
 };
 export type ToggleComponentType = {
   enabled: boolean;
@@ -220,6 +222,7 @@ export type AccordionComponentType = {
   keyValue?: string;
   openDisc?: boolean;
   sideBar?: boolean;
+  options?: { title: string; icon: string }[];
 };
 export type Side = "top" | "right" | "bottom" | "left";
 
diff --git a/src/frontend/src/types/flow/index.ts b/src/frontend/src/types/flow/index.ts
index 8b259186a..d9123bebb 100644
--- a/src/frontend/src/types/flow/index.ts
+++ b/src/frontend/src/types/flow/index.ts
@@ -17,6 +17,7 @@ export type FlowType = {
   user_id?: string;
   icon?: string;
   icon_bg_color?: string;
+  folder_id?: string;
 };
 
 export type NodeType = {
diff --git a/src/frontend/src/types/zustand/flowsManager/index.ts b/src/frontend/src/types/zustand/flowsManager/index.ts
index 16985105a..aaafebb7b 100644
--- a/src/frontend/src/types/zustand/flowsManager/index.ts
+++ b/src/frontend/src/types/zustand/flowsManager/index.ts
@@ -4,6 +4,8 @@ import { FlowType } from "../../flow";
 export type FlowsManagerStoreType = {
   getFlowById: (id: string) => FlowType | undefined;
   flows: Array<FlowType>;
+  allFlows: Array<FlowType>;
+  setAllFlows: (flows: FlowType[]) => void;
   setFlows: (flows: FlowType[]) => void;
   currentFlow: FlowType | undefined;
   currentFlowId: string;
@@ -15,12 +17,12 @@ export type FlowsManagerStoreType = {
   saveFlow: (flow: FlowType, silent?: boolean) => Promise<void> | undefined;
   saveFlowDebounce: (
     flow: FlowType,
-    silent?: boolean
+    silent?: boolean,
   ) => Promise<void> | undefined;
   autoSaveCurrentFlow: (
     nodes: Node[],
     edges: Edge[],
-    viewport: Viewport
+    viewport: Viewport,
   ) => void;
   uploadFlows: () => Promise<void>;
   uploadFlow: ({
@@ -31,20 +33,21 @@ export type FlowsManagerStoreType = {
   }: {
     newProject: boolean;
     file?: File;
-    isComponent?: boolean;
+    isComponent: boolean | null;
     position?: XYPosition;
   }) => Promise<string | never>;
   addFlow: (
     newProject: boolean,
     flow?: FlowType,
     override?: boolean,
-    position?: XYPosition
+    position?: XYPosition,
+    fromDragAndDrop?: boolean,
   ) => Promise<string | undefined>;
   deleteComponent: (key: string) => Promise<void>;
-  removeFlow: (id: string) => Promise<void>;
+  removeFlow: (id: string | string[]) => Promise<void>;
   saveComponent: (
     component: any,
-    override: boolean
+    override: boolean,
   ) => Promise<string | undefined>;
   undo: () => void;
   redo: () => void;
@@ -52,6 +55,10 @@ export type FlowsManagerStoreType = {
   examples: Array<FlowType>;
   setExamples: (examples: FlowType[]) => void;
   setCurrentFlow: (flow: FlowType) => void;
+  setSearchFlowsComponents: (search: string) => void;
+  searchFlowsComponents: string;
+  selectedFlowsComponentsCards: string[];
+  setSelectedFlowsComponentsCards: (selected: string[]) => void;
 };
 
 export type UseUndoRedoOptions = {
diff --git a/src/frontend/src/types/zustand/folders/index.ts b/src/frontend/src/types/zustand/folders/index.ts
new file mode 100644
index 000000000..c63ed6b77
--- /dev/null
+++ b/src/frontend/src/types/zustand/folders/index.ts
@@ -0,0 +1,26 @@
+import { FolderType } from "../../../pages/MainPage/entities";
+
+export type FoldersStoreType = {
+  folders: FolderType[];
+  getFoldersApi: (refetch?: boolean) => void;
+  setFolders: (folders: FolderType[]) => void;
+  loading: boolean;
+  setLoading: (loading: boolean) => void;
+  selectedFolder: FolderType | null;
+  getFolderById: (id: string) => void;
+  loadingById: boolean;
+  setLoadingById: (loading: boolean) => void;
+  getMyCollectionFolder: () => void;
+  myCollectionFlows: FolderType | null;
+  myCollectionId: string | null;
+  setMyCollectionId: () => void;
+  folderToEdit: FolderType | null;
+  setFolderToEdit: (folder: FolderType | null) => void;
+  folderUrl: string;
+  setFolderUrl: (folderUrl: string) => void;
+  folderDragging: boolean;
+  setFolderDragging: (set: boolean) => void;
+  uploadFolder: (folderId: string) => void;
+  folderIdDragging: string;
+  setFolderIdDragging: (id: string) => void;
+};
diff --git a/src/frontend/src/types/zustand/globalVariables/index.ts b/src/frontend/src/types/zustand/globalVariables/index.ts
index de7c5543e..d22170ed2 100644
--- a/src/frontend/src/types/zustand/globalVariables/index.ts
+++ b/src/frontend/src/types/zustand/globalVariables/index.ts
@@ -21,7 +21,7 @@ export type GlobalVariablesStore = {
     id: string,
     type?: string,
     default_fields?: string[],
-    value?: string
+    value?: string,
   ) => void;
   removeGlobalVariable: (name: string) => Promise<void>;
   getVariableId: (name: string) => string | undefined;
diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts
index d56041068..668192999 100644
--- a/src/frontend/src/utils/reactflowUtils.ts
+++ b/src/frontend/src/utils/reactflowUtils.ts
@@ -1299,6 +1299,7 @@ export const createNewFlow = (
     data: flowData,
     id: "",
     is_component: flow?.is_component ?? false,
+    folder_id: "",
   };
 };
 
diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts
index 15b15d282..1bedfa64d 100644
--- a/src/frontend/src/utils/styleUtils.ts
+++ b/src/frontend/src/utils/styleUtils.ts
@@ -53,7 +53,9 @@ import {
   FileType2,
   FileUp,
   FlaskConical,
+  FolderIcon,
   FolderPlus,
+  FolderPlusIcon,
   FormInput,
   Forward,
   Gift,
@@ -105,6 +107,7 @@ import {
   SaveAll,
   Scissors,
   ScreenShare,
+  ScrollText,
   Search,
   Settings2,
   Share,
@@ -141,9 +144,8 @@ import {
   XCircle,
   Zap,
 } from "lucide-react";
-import { FaApple, FaGithub } from "react-icons/fa";
+import { FaApple, FaDiscord, FaGithub } from "react-icons/fa";
 import { AWSIcon } from "../icons/AWS";
-import { FaDiscord } from "react-icons/fa";
 import { AirbyteIcon } from "../icons/Airbyte";
 import { AnthropicIcon } from "../icons/Anthropic";
 import { AstraDBIcon } from "../icons/AstraDB";
@@ -385,6 +387,7 @@ export const nodeIconsLucide: iconsType = {
   Keyboard: Keyboard,
   embeddings: Binary,
   saved_components: GradientSave,
+  ScrollText,
   documentloaders: Paperclip,
   vectorstores: Layers,
   vectorsearch: TextSearch,
@@ -518,5 +521,7 @@ export const nodeIconsLucide: iconsType = {
   Command,
   ArrowBigUp,
   Dot,
+  FolderPlusIcon,
+  FolderIcon,
   Discord: FaDiscord,
 };
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index b3a6e50f3..46c802211 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -1,5 +1,7 @@
+import { ColDef, ColGroupDef } from "ag-grid-community";
 import clsx, { ClassValue } from "clsx";
 import { twMerge } from "tailwind-merge";
+import TableAutoCellRender from "../components/tableAutoCellRender";
 import { priorityFields } from "../constants/constants";
 import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "../flow_constants";
 import {
@@ -698,3 +700,55 @@ export function convertTestName(name: string): string {
 export function sortByName(stringList: string[]): string[] {
   return stringList.sort((a, b) => a.localeCompare(b));
 }
+
+export function isTimeStampString(str: string): boolean {
+  const timestampRegex = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{3}Z)?$/;
+  return timestampRegex.test(str);
+}
+
+export function extractColumnsFromRows(
+  rows: object[],
+  mode: "intersection" | "union",
+): (ColDef<any> | ColGroupDef<any>)[] {
+  const columnsKeys: { [key: string]: ColDef<any> | ColGroupDef<any> } = {};
+  if (rows.length === 0) {
+    return [];
+  }
+  function intersection() {
+    for (const key in rows[0]) {
+      columnsKeys[key] = {
+        headerName: key,
+        field: key,
+        cellRenderer: TableAutoCellRender,
+        filter: true,
+        autoHeight: true,
+      };
+    }
+    for (const row of rows) {
+      for (const key in columnsKeys) {
+        if (!row[key]) {
+          delete columnsKeys[key];
+        }
+      }
+    }
+  }
+  function union() {
+    for (const row of rows) {
+      for (const key in row) {
+        columnsKeys[key] = {
+          headerName: key,
+          field: key,
+          filter: true,
+          cellRenderer: TableAutoCellRender,
+        };
+      }
+    }
+  }
+  if (mode === "intersection") {
+    intersection();
+  } else {
+    union();
+  }
+
+  return Object.values(columnsKeys);
+}
diff --git a/src/frontend/tailwind.config.js b/src/frontend/tailwind.config.js
index 20ee851ff..52b86c25d 100644
--- a/src/frontend/tailwind.config.js
+++ b/src/frontend/tailwind.config.js
@@ -5,6 +5,11 @@ import plugin from "tailwindcss/plugin";
 
 // ! Check if removing the other module.exports made sense
 module.exports = {
+  variants: {
+    extend: {
+      display: ["group-hover"],
+    },
+  },
   darkMode: ["class"],
   content: [
     "app/**/*.{ts,tsx}",
@@ -36,6 +41,7 @@ module.exports = {
       },
       animation: {
         wiggle: "wiggle 150ms ease-in-out 1",
+        "slow-wiggle": "wiggle 500ms ease-in-out 1",
       },
       colors: {
         "component-icon": "var(--component-icon)",
@@ -88,6 +94,7 @@ module.exports = {
         "chat-bot-icon": "var(--chat-bot-icon)",
         "chat-user-icon": "var(--chat-user-icon)",
         ice: "var(--ice)",
+        selected: "var(--selected)",
         hover: "var(--hover)",
         white: "var(--white)",
         border: "hsl(var(--border))",
diff --git a/src/frontend/tests/end-to-end/actionsMainPage.spec.ts b/src/frontend/tests/end-to-end/actionsMainPage.spec.ts
new file mode 100644
index 000000000..0b3021d4f
--- /dev/null
+++ b/src/frontend/tests/end-to-end/actionsMainPage.spec.ts
@@ -0,0 +1,124 @@
+import { test } from "@playwright/test";
+
+test("select and delete all", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("Select All").click();
+  await page.getByText("Unselect All").isVisible();
+  await page.getByTestId("icon-Trash2").click();
+  await page.getByText("Delete").last().click();
+
+  await page.waitForTimeout(1000);
+  await page.getByText("Selected items deleted successfully").isVisible();
+});
+
+test("search flows", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("Select All").isVisible();
+  await page.getByText("New Project", { exact: true }).click();
+  await page.getByRole("heading", { name: "Memory Chatbot" }).click();
+  await page.getByTestId("icon-ChevronLeft").first().click();
+  await page.getByText("New Project", { exact: true }).click();
+  await page.getByRole("heading", { name: "Document QA" }).click();
+  await page.getByTestId("icon-ChevronLeft").first().click();
+  await page.getByPlaceholder("Search flows").fill("Memory Chatbot");
+  await page.getByText("Memory Chatbot", { exact: true }).isVisible();
+  await page.getByText("Document QA", { exact: true }).isHidden();
+  await page.getByText("Basic Prompting", { exact: true }).isHidden();
+});
+
+test("search components", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByText("Chat Input").first().click();
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+  await page
+    .getByText("Prompt", {
+      exact: true,
+    })
+    .first()
+    .click();
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+
+  await page
+    .getByText("OpenAI", {
+      exact: true,
+    })
+    .first()
+    .click();
+  await page.getByTestId("icon-SaveAll").first().click();
+  await page.keyboard.press("Escape");
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page
+    .getByText("Components", {
+      exact: true,
+    })
+    .click();
+
+  await page.getByPlaceholder("Search components").fill("Chat Input");
+  await page.getByText("Chat Input", { exact: true }).isVisible();
+  await page.getByText("Prompt", { exact: true }).isHidden();
+  await page.getByText("OpenAI", { exact: true }).isHidden();
+});
diff --git a/src/frontend/tests/end-to-end/auto_login.spec.ts b/src/frontend/tests/end-to-end/auto_login.spec.ts
index 8eaed40c7..94c2905ca 100644
--- a/src/frontend/tests/end-to-end/auto_login.spec.ts
+++ b/src/frontend/tests/end-to-end/auto_login.spec.ts
@@ -3,24 +3,24 @@ import { test } from "@playwright/test";
 test.describe("Auto_login tests", () => {
   test("auto_login sign in", async ({ page }) => {
     await page.goto("/");
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
   });
 
   test("auto_login block_admin", async ({ page }) => {
     await page.goto("/");
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
 
     await page.goto("/login");
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
 
     await page.goto("/admin");
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
 
     await page.goto("/admin/login");
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
   });
 });
diff --git a/src/frontend/tests/end-to-end/chatInputOutput.spec.ts b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts
index a8ddbe3c7..b6dedc1bb 100644
--- a/src/frontend/tests/end-to-end/chatInputOutput.spec.ts
+++ b/src/frontend/tests/end-to-end/chatInputOutput.spec.ts
@@ -22,7 +22,7 @@ test("user must interact with chat with Input/Output", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -41,7 +41,7 @@ test("user must interact with chat with Input/Output", async ({ page }) => {
   }
 
   await page
-    .getByTestId("input-openai_api_key")
+    .getByTestId("popover-anchor-input-openai_api_key")
     .fill(process.env.OPENAI_API_KEY ?? "");
   await page.getByText("Playground", { exact: true }).click();
   await page.getByPlaceholder("Send a message...").fill("Hello, how are you?");
@@ -60,8 +60,14 @@ test("user must interact with chat with Input/Output", async ({ page }) => {
     .fill(
       "testtesttesttesttesttestte;.;.,;,.;,.;.,;,..,;;;;;;;;;;;;;;;;;;;;;,;.;,.;,.,;.,;.;.,~~çççççççççççççççççççççççççççççççççççççççisdajfdasiopjfaodisjhvoicxjiovjcxizopjviopasjioasfhjaiohf23432432432423423sttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttesttestççççççççççççççççççççççççççççççççç,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,!",
     );
-  await page.getByTestId("input-sender_name").nth(1).fill("TestSenderNameUser");
-  await page.getByTestId("input-sender_name").nth(0).fill("TestSenderNameAI");
+  await page
+    .getByTestId("popover-anchor-input-sender_name")
+    .nth(1)
+    .fill("TestSenderNameUser");
+  await page
+    .getByTestId("popover-anchor-input-sender_name")
+    .nth(0)
+    .fill("TestSenderNameAI");
 
   await page.getByText("Playground", { exact: true }).click();
   await page.getByTestId("icon-LucideSend").click();
@@ -102,7 +108,7 @@ test("chat_io_teste", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
diff --git a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
index 6a8bb6070..3b2913440 100644
--- a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
@@ -15,7 +15,7 @@ test("CodeAreaModalComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
diff --git a/src/frontend/tests/end-to-end/curl_api_generation.spec.ts b/src/frontend/tests/end-to-end/curl_api_generation.spec.ts
index 7c3f5f246..74e3ee11e 100644
--- a/src/frontend/tests/end-to-end/curl_api_generation.spec.ts
+++ b/src/frontend/tests/end-to-end/curl_api_generation.spec.ts
@@ -13,7 +13,7 @@ test("curl_api_generation", async ({ page, context }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -23,7 +23,7 @@ test("curl_api_generation", async ({ page, context }) => {
   await page.getByRole("tab", { name: "cURL" }).click();
   await page.getByRole("button", { name: "Copy Code" }).click();
   const handle = await page.evaluateHandle(() =>
-    navigator.clipboard.readText()
+    navigator.clipboard.readText(),
   );
   const clipboardContent = await handle.jsonValue();
   expect(clipboardContent.length).toBeGreaterThan(0);
diff --git a/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts b/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts
index 7ca9c482c..854ac388c 100644
--- a/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts
+++ b/src/frontend/tests/end-to-end/deleteComponentFlows.spec.ts
@@ -16,14 +16,8 @@ test("shoud delete a flow", async ({ page }) => {
   await page.waitForTimeout(5000);
   await page.getByText("My Collection").nth(0).click();
   await page.getByText("Website Content QA").first().isVisible();
-  await page
-    .getByTestId("card-website-content-qa")
-    .first()
-    .hover()
-    .then(async () => {
-      await page.getByTestId("icon-Trash2").first().click();
-      await page.waitForTimeout(2000);
-    });
+  await page.getByLabel("checkbox-component").first().click();
+  await page.getByTestId("icon-Trash2").click();
   await page
     .getByText("Are you sure you want to delete the selected component?")
     .isVisible();
@@ -41,14 +35,8 @@ test("shoud delete a component", async ({ page }) => {
   await page.getByText("My Collection").nth(0).click();
   await page.getByText("Components").first().click();
   await page.getByText("Basic RAG").first().isVisible();
-  await page
-    .getByTestId("card-basic-rag")
-    .first()
-    .hover()
-    .then(async () => {
-      await page.getByTestId("icon-Trash2").first().click();
-      await page.waitForTimeout(2000);
-    });
+  await page.getByLabel("checkbox-component").first().click();
+  await page.getByTestId("icon-Trash2").click();
   await page
     .getByText("Are you sure you want to delete the selected component?")
     .isVisible();
diff --git a/src/frontend/tests/end-to-end/dragAndDrop.spec.ts b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts
index dbb1d10d7..ee1789d2d 100644
--- a/src/frontend/tests/end-to-end/dragAndDrop.spec.ts
+++ b/src/frontend/tests/end-to-end/dragAndDrop.spec.ts
@@ -17,7 +17,7 @@ test.describe("drag and drop test", () => {
     }
 
     while (modalCount === 0) {
-      await page.locator('//*[@id="new-project-btn"]').click();
+      await page.getByText("New Project", { exact: true }).click();
       await page.waitForTimeout(5000);
       modalCount = await page.getByTestId("modal-title")?.count();
     }
@@ -50,9 +50,6 @@ test.describe("drag and drop test", () => {
       },
     );
 
-    await page.getByText("Getting Started").first().click();
-    await page.waitForTimeout(1000);
-
     const genericNoda = page.getByTestId("div-generic-node");
     const elementCount = await genericNoda?.count();
     if (elementCount > 0) {
diff --git a/src/frontend/tests/end-to-end/dropdownComponent.spec.ts b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
index 46c84f707..186226a54 100644
--- a/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
@@ -15,7 +15,7 @@ test("dropDownComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -78,32 +78,32 @@ test("dropDownComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showcredentials_profile_name"]').click();
   expect(
-    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showcredentials_profile_name"]').click();
   expect(
-    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showendpoint_url"]').click();
   expect(
-    await page.locator('//*[@id="showendpoint_url"]').isChecked()
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showendpoint_url"]').click();
   expect(
-    await page.locator('//*[@id="showendpoint_url"]').isChecked()
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showregion_name"]').click();
   expect(
-    await page.locator('//*[@id="showregion_name"]').isChecked()
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showregion_name"]').click();
   expect(
-    await page.locator('//*[@id="showregion_name"]').isChecked()
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
   ).toBeTruthy();
 
   // showmodel_id
@@ -113,7 +113,7 @@ test("dropDownComponent", async ({ page }) => {
   // showmodel_id
   await page.locator('//*[@id="showmodel_id"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_id"]').isChecked()
+    await page.locator('//*[@id="showmodel_id"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showcache"]').click();
@@ -124,32 +124,32 @@ test("dropDownComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showcredentials_profile_name"]').click();
   expect(
-    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showcredentials_profile_name"]').click();
   expect(
-    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showendpoint_url"]').click();
   expect(
-    await page.locator('//*[@id="showendpoint_url"]').isChecked()
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showendpoint_url"]').click();
   expect(
-    await page.locator('//*[@id="showendpoint_url"]').isChecked()
+    await page.locator('//*[@id="showendpoint_url"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showregion_name"]').click();
   expect(
-    await page.locator('//*[@id="showregion_name"]').isChecked()
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showregion_name"]').click();
   expect(
-    await page.locator('//*[@id="showregion_name"]').isChecked()
+    await page.locator('//*[@id="showregion_name"]').isChecked(),
   ).toBeTruthy();
 
   // showmodel_id
@@ -159,7 +159,7 @@ test("dropDownComponent", async ({ page }) => {
   // showmodel_id
   await page.locator('//*[@id="showmodel_id"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_id"]').isChecked()
+    await page.locator('//*[@id="showmodel_id"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("dropdown-edit-model_id").click();
diff --git a/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts b/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts
index e38ff1bc0..4cce05c83 100644
--- a/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/fileUploadComponent.spec.ts
@@ -16,7 +16,7 @@ test("dropDownComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -64,7 +64,7 @@ test("dropDownComponent", async ({ page }) => {
   // Click and hold on the first element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[1]/div/div[2]/div[6]/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[1]/div/div[2]/div[6]/button/div/div',
     )
     .hover();
   await page.mouse.down();
@@ -72,7 +72,7 @@ test("dropDownComponent", async ({ page }) => {
   // Move to the second element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[3]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[3]/div/button/div/div',
     )
     .hover();
 
diff --git a/src/frontend/tests/end-to-end/filterEdge.spec.ts b/src/frontend/tests/end-to-end/filterEdge.spec.ts
index a5621e65b..7ba874f43 100644
--- a/src/frontend/tests/end-to-end/filterEdge.spec.ts
+++ b/src/frontend/tests/end-to-end/filterEdge.spec.ts
@@ -15,7 +15,7 @@ test("LLMChain - Tooltip", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -40,7 +40,7 @@ test("LLMChain - Tooltip", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[3]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[3]/div/button/div/div',
     )
     .hover()
     .then(async () => {
@@ -60,17 +60,17 @@ test("LLMChain - Tooltip", async ({ page }) => {
   await page.getByTitle("zoom out").click();
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[4]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[4]/div/button/div/div',
     )
     .hover()
     .then(async () => {
       await expect(
-        page.getByTestId("tooltip-Model Specs").first()
+        page.getByTestId("tooltip-Model Specs").first(),
       ).toBeVisible();
       await page.waitForTimeout(2000);
 
       await expect(
-        page.getByTestId("tooltip-Model Specs").first()
+        page.getByTestId("tooltip-Model Specs").first(),
       ).toBeVisible();
 
       await page.getByTestId("icon-Search").click();
@@ -81,12 +81,12 @@ test("LLMChain - Tooltip", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[5]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div/div/div[2]/div/div/div[2]/div[5]/div/button/div/div',
     )
     .hover()
     .then(async () => {
       await expect(
-        page.getByTestId("empty-tooltip-filter").first()
+        page.getByTestId("empty-tooltip-filter").first(),
       ).toBeVisible();
     });
 });
@@ -106,14 +106,14 @@ test("LLMChain - Filter", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
   await page.waitForTimeout(1000);
 
   await page.getByTestId(
-    "input-list-plus-btn-edit_metadata_indexing_include-2"
+    "input-list-plus-btn-edit_metadata_indexing_include-2",
   );
 
   await page.getByTestId("blank-flow").click();
@@ -136,7 +136,7 @@ test("LLMChain - Filter", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[4]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[4]/div/button/div/div',
     )
     .click();
 
@@ -150,14 +150,14 @@ test("LLMChain - Filter", async ({ page }) => {
   await expect(page.getByTestId("model_specsChatVertexAI")).toBeVisible();
   await expect(page.getByTestId("model_specsCohere")).toBeVisible();
   await expect(
-    page.getByTestId("model_specsGoogle Generative AI")
+    page.getByTestId("model_specsGoogle Generative AI"),
   ).toBeVisible();
   await expect(
-    page.getByTestId("model_specsHugging Face Inference API")
+    page.getByTestId("model_specsHugging Face Inference API"),
   ).toBeVisible();
   await expect(page.getByTestId("model_specsOllama")).toBeVisible();
   await expect(
-    page.getByTestId("model_specsQianfanChatEndpoint")
+    page.getByTestId("model_specsQianfanChatEndpoint"),
   ).toBeVisible();
   await expect(page.getByTestId("model_specsQianfanLLMEndpoint")).toBeVisible();
   await expect(page.getByTestId("model_specsVertexAI")).toBeVisible();
@@ -169,7 +169,7 @@ test("LLMChain - Filter", async ({ page }) => {
   await expect(page.getByTestId("model_specsAmazon Bedrock")).not.toBeVisible();
   await expect(page.getByTestId("modelsAzure OpenAI")).not.toBeVisible();
   await expect(
-    page.getByTestId("model_specsAzureChatOpenAI")
+    page.getByTestId("model_specsAzureChatOpenAI"),
   ).not.toBeVisible();
   await expect(page.getByTestId("model_specsChatAnthropic")).not.toBeVisible();
   await expect(page.getByTestId("model_specsChatLiteLLM")).not.toBeVisible();
@@ -180,13 +180,13 @@ test("LLMChain - Filter", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div/div',
     )
     .click();
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[7]/button/div/div',
     )
     .click();
 
diff --git a/src/frontend/tests/end-to-end/floatComponent.spec.ts b/src/frontend/tests/end-to-end/floatComponent.spec.ts
index 23e0bab1a..70f7bae7e 100644
--- a/src/frontend/tests/end-to-end/floatComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/floatComponent.spec.ts
@@ -15,7 +15,7 @@ test("FloatComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -74,7 +74,7 @@ test("FloatComponent", async ({ page }) => {
 
   await page.getByTestId("showmirostat").click();
   expect(
-    await page.locator('//*[@id="showmirostat"]').isChecked()
+    await page.locator('//*[@id="showmirostat"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("showmirostat").click();
@@ -82,22 +82,22 @@ test("FloatComponent", async ({ page }) => {
 
   await page.getByTestId("showmirostat_eta").click();
   expect(
-    await page.locator('//*[@id="showmirostat_eta"]').isChecked()
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("showmirostat_eta").click();
   expect(
-    await page.locator('//*[@id="showmirostat_eta"]').isChecked()
+    await page.locator('//*[@id="showmirostat_eta"]').isChecked(),
   ).toBeFalsy();
 
   await page.getByTestId("showmirostat_tau").click();
   expect(
-    await page.locator('//*[@id="showmirostat_tau"]').isChecked()
+    await page.locator('//*[@id="showmirostat_tau"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("showmirostat_tau").click();
   expect(
-    await page.locator('//*[@id="showmirostat_tau"]').isChecked()
+    await page.locator('//*[@id="showmirostat_tau"]').isChecked(),
   ).toBeFalsy();
 
   await page.getByTestId("showmodel").click();
@@ -120,22 +120,22 @@ test("FloatComponent", async ({ page }) => {
 
   await page.getByTestId("shownum_thread").click();
   expect(
-    await page.locator('//*[@id="shownum_thread"]').isChecked()
+    await page.locator('//*[@id="shownum_thread"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("shownum_thread").click();
   expect(
-    await page.locator('//*[@id="shownum_thread"]').isChecked()
+    await page.locator('//*[@id="shownum_thread"]').isChecked(),
   ).toBeFalsy();
 
   await page.getByTestId("showrepeat_last_n").click();
   expect(
-    await page.locator('//*[@id="showrepeat_last_n"]').isChecked()
+    await page.locator('//*[@id="showrepeat_last_n"]').isChecked(),
   ).toBeTruthy();
 
   await page.getByTestId("showrepeat_last_n").click();
   expect(
-    await page.locator('//*[@id="showrepeat_last_n"]').isChecked()
+    await page.locator('//*[@id="showrepeat_last_n"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -151,7 +151,7 @@ test("FloatComponent", async ({ page }) => {
     // showtemperature
     await page.locator('//*[@id="showtemperature"]').click();
     expect(
-      await page.locator('//*[@id="showtemperature"]').isChecked()
+      await page.locator('//*[@id="showtemperature"]').isChecked(),
     ).toBeTruthy();
 
     await page.locator('//*[@id="saveChangesBtn"]').click();
diff --git a/src/frontend/tests/end-to-end/flowPage.spec.ts b/src/frontend/tests/end-to-end/flowPage.spec.ts
index e434824e4..28703bbc0 100644
--- a/src/frontend/tests/end-to-end/flowPage.spec.ts
+++ b/src/frontend/tests/end-to-end/flowPage.spec.ts
@@ -16,7 +16,7 @@ test.describe("Flow Page tests", () => {
     }
 
     while (modalCount === 0) {
-      await page.locator('//*[@id="new-project-btn"]').click();
+      await page.getByText("New Project", { exact: true }).click();
       await page.waitForTimeout(5000);
       modalCount = await page.getByTestId("modal-title")?.count();
     }
diff --git a/src/frontend/tests/end-to-end/flowSettings.spec.ts b/src/frontend/tests/end-to-end/flowSettings.spec.ts
index f0f9f010c..607c64677 100644
--- a/src/frontend/tests/end-to-end/flowSettings.spec.ts
+++ b/src/frontend/tests/end-to-end/flowSettings.spec.ts
@@ -15,7 +15,7 @@ test("flowSettings", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -29,7 +29,7 @@ test("flowSettings", async ({ page }) => {
   await page
     .getByPlaceholder("Flow name")
     .fill(
-      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test"
+      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test",
     );
 
   await page.getByText("Character limit reached").isVisible();
@@ -41,7 +41,7 @@ test("flowSettings", async ({ page }) => {
   await page
     .getByPlaceholder("Flow description")
     .fill(
-      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test"
+      "Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test Flow Name Test",
     );
 
   await page.getByText("Save").last().click();
diff --git a/src/frontend/tests/end-to-end/folders.spec.ts b/src/frontend/tests/end-to-end/folders.spec.ts
new file mode 100644
index 000000000..6017a523d
--- /dev/null
+++ b/src/frontend/tests/end-to-end/folders.spec.ts
@@ -0,0 +1,152 @@
+import { test } from "@playwright/test";
+import { readFileSync } from "fs";
+
+test("CRUD folders", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("My Collection").nth(2).isVisible();
+  await page.getByPlaceholder("Search flows").isVisible();
+  await page.getByText("Flows").isVisible();
+  await page.getByText("Components").isVisible();
+  await page.getByText("All").first().isVisible();
+  await page.getByText("Select All").isVisible();
+
+  await page.getByText("New Folder", { exact: true }).last().click();
+  await page.getByPlaceholder("Insert a name for the folder").fill("test");
+  await page
+    .getByPlaceholder("Insert a description for the folder")
+    .fill("test");
+  await page.getByText("Save Folder").click();
+
+  await page.waitForTimeout(1000);
+  await page.getByText("Folder created succefully").isVisible();
+  await page.getByText("test").last().isVisible();
+  await page
+    .getByText("test")
+    .last()
+    .hover()
+    .then(async () => {
+      await page.getByTestId("icon-pencil").last().click();
+    });
+
+  await page.getByPlaceholder("Insert a name for the folder").fill("test edit");
+  await page
+    .getByPlaceholder("Insert a description for the folder")
+    .fill("test edit");
+  await page.getByText("Edit Folder").last().click();
+  await page.getByText("test edit").last().isVisible();
+
+  await page
+    .getByText("test edit")
+    .last()
+    .hover()
+    .then(async () => {
+      await page.getByTestId("icon-trash").last().click();
+    });
+
+  await page.getByText("Delete").last().click();
+  await page.waitForTimeout(1000);
+  await page.getByText("Folder deleted succefully").isVisible();
+});
+
+test("add folder by drag and drop", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  const jsonContent = readFileSync(
+    "tests/end-to-end/assets/collection.json",
+    "utf-8"
+  );
+
+  // Create the DataTransfer and File
+  const dataTransfer = await page.evaluateHandle((data) => {
+    const dt = new DataTransfer();
+    // Convert the buffer to a hex array
+    const file = new File([data], "flowtest.json", {
+      type: "application/json",
+    });
+    dt.items.add(file);
+    return dt;
+  }, jsonContent);
+
+  // Now dispatch
+  await page.dispatchEvent(
+    '//*[@id="root"]/div/div[1]/div[2]/div[3]/aside/nav/div/div[2]',
+    "drop",
+    {
+      dataTransfer,
+    }
+  );
+
+  await page.getByText("Getting Started").first().isVisible();
+});
+
+test("change flow folder", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+
+  await page.getByTestId("icon-ChevronLeft").first().click();
+
+  await page.getByText("My Collection").nth(2).isVisible();
+  await page.getByPlaceholder("Search flows").isVisible();
+  await page.getByText("Flows").isVisible();
+  await page.getByText("Components").isVisible();
+  await page.getByText("All").first().isVisible();
+  await page.getByText("Select All").isVisible();
+
+  await page.getByText("New Folder", { exact: true }).last().click();
+  await page.getByPlaceholder("Insert a name for the folder").fill("test");
+  await page
+    .getByPlaceholder("Insert a description for the folder")
+    .fill("test");
+
+  await page.getByText("Save Folder").click();
+
+  await page.waitForTimeout(1000);
+  await page.getByText("Folder created succefully").isVisible();
+  await page.getByText("test").last().isVisible();
+
+  await page.getByText("My Projects").last().click();
+  await page.getByText("Basic Prompting").first().hover();
+  await page.mouse.down();
+  await page.getByText("test").first().hover();
+  await page.mouse.up();
+  await page.getByText("Basic Prompting").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/globalVariables.spec.ts b/src/frontend/tests/end-to-end/globalVariables.spec.ts
index 7eec399fb..a92438b87 100644
--- a/src/frontend/tests/end-to-end/globalVariables.spec.ts
+++ b/src/frontend/tests/end-to-end/globalVariables.spec.ts
@@ -15,7 +15,7 @@ test("GlobalVariables", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
diff --git a/src/frontend/tests/end-to-end/group.spec.ts b/src/frontend/tests/end-to-end/group.spec.ts
index 03ec9719c..5cf1607ee 100644
--- a/src/frontend/tests/end-to-end/group.spec.ts
+++ b/src/frontend/tests/end-to-end/group.spec.ts
@@ -16,7 +16,7 @@ test.describe("group node test", () => {
     }
 
     while (modalCount === 0) {
-      await page.locator('//*[@id="new-project-btn"]').click();
+      await page.getByText("New Project", { exact: true }).click();
       modalCount = await page.getByTestId("modal-title")?.count();
     }
 
@@ -30,7 +30,10 @@ test.describe("group node test", () => {
 
     await page.getByRole("button", { name: "Group" }).click();
     await page.getByTestId("title-Group").dblclick();
-    await page.getByTestId("input-title-Group").first().fill("test");
+    await page
+      .getByTestId("popover-anchor-input-title-Group")
+      .first()
+      .fill("test");
     await page.getByTestId("icon-Ungroup").first().click();
     await page.keyboard.press("Control+g");
     await page.getByTestId("title-OpenAI").isVisible();
diff --git a/src/frontend/tests/end-to-end/inputComponent.spec.ts b/src/frontend/tests/end-to-end/inputComponent.spec.ts
index 267b935cc..2fcbc9831 100644
--- a/src/frontend/tests/end-to-end/inputComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/inputComponent.spec.ts
@@ -15,7 +15,7 @@ test("InputComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -38,12 +38,14 @@ test("InputComponent", async ({ page }) => {
   await page.getByTitle("zoom out").click();
   await page.getByTitle("zoom out").click();
   await page.getByTitle("zoom out").click();
-  await page.getByTestId("input-collection_name").click();
+  await page.getByTestId("popover-anchor-input-collection_name").click();
   await page
-    .getByTestId("input-collection_name")
+    .getByTestId("popover-anchor-input-collection_name")
     .fill("collection_name_test_123123123!@#$&*(&%$@");
 
-  let value = await page.getByTestId("input-collection_name").inputValue();
+  let value = await page
+    .getByTestId("popover-anchor-input-collection_name")
+    .inputValue();
 
   if (value != "collection_name_test_123123123!@#$&*(&%$@") {
     expect(false).toBeTruthy();
@@ -58,82 +60,82 @@ test("InputComponent", async ({ page }) => {
   expect(
     await page
       .locator('//*[@id="showchroma_server_cors_allow_origins"]')
-      .isChecked()
+      .isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showchroma_server_host"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_host"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_host"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showchroma_server_port"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_port"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_port"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showcollection_name"]').click();
   expect(
-    await page.locator('//*[@id="showcollection_name"]').isChecked()
+    await page.locator('//*[@id="showcollection_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showindex_directory"]').click();
   expect(
-    await page.locator('//*[@id="showindex_directory"]').isChecked()
+    await page.locator('//*[@id="showindex_directory"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showchroma_server_cors_allow_origins"]').click();
   expect(
     await page
       .locator('//*[@id="showchroma_server_cors_allow_origins"]')
-      .isChecked()
+      .isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showchroma_server_grpc_port"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_grpc_port"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showchroma_server_host"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_host"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_host"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showchroma_server_port"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_port"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_port"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showchroma_server_ssl_enabled"]').click();
   expect(
-    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked()
+    await page.locator('//*[@id="showchroma_server_ssl_enabled"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showindex_directory"]').click();
   expect(
-    await page.locator('//*[@id="showindex_directory"]').isChecked()
+    await page.locator('//*[@id="showindex_directory"]').isChecked(),
   ).toBeTruthy();
 
   let valueEditNode = await page
-    .getByTestId("input-collection_name-edit")
+    .getByTestId("popover-anchor-input-collection_name-edit")
     .inputValue();
 
   if (valueEditNode != "collection_name_test_123123123!@#$&*(&%$@") {
     expect(false).toBeTruthy();
   }
 
-  await page.getByTestId("input-collection_name-edit").click();
+  await page.getByTestId("popover-anchor-input-collection_name-edit").click();
   await page
-    .getByTestId("input-collection_name-edit")
+    .getByTestId("popover-anchor-input-collection_name-edit")
     .fill("NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe");
 
   await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -150,12 +152,14 @@ test("InputComponent", async ({ page }) => {
 
     await page.locator('//*[@id="showcollection_name"]').click();
     expect(
-      await page.locator('//*[@id="showcollection_name"]').isChecked()
+      await page.locator('//*[@id="showcollection_name"]').isChecked(),
     ).toBeTruthy();
 
     await page.locator('//*[@id="saveChangesBtn"]').click();
 
-    let value = await page.getByTestId("input-collection_name").inputValue();
+    let value = await page
+      .getByTestId("popover-anchor-input-collection_name")
+      .inputValue();
 
     if (value != "NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe") {
       expect(false).toBeTruthy();
diff --git a/src/frontend/tests/end-to-end/inputListComponent.spec.ts b/src/frontend/tests/end-to-end/inputListComponent.spec.ts
index b6c2678fd..0913c98a1 100644
--- a/src/frontend/tests/end-to-end/inputListComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/inputListComponent.spec.ts
@@ -15,7 +15,7 @@ test("InputListComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -41,19 +41,19 @@ test("InputListComponent", async ({ page }) => {
   await page.getByTestId("edit-button-modal").click();
 
   expect(
-    await page.getByTestId("showmetadata_indexing_exclude").isChecked()
+    await page.getByTestId("showmetadata_indexing_exclude").isChecked(),
   ).toBeFalsy();
   await page.getByTestId("showmetadata_indexing_exclude").click();
   expect(
-    await page.getByTestId("showmetadata_indexing_exclude").isChecked()
+    await page.getByTestId("showmetadata_indexing_exclude").isChecked(),
   ).toBeTruthy();
 
   expect(
-    await page.getByTestId("showmetadata_indexing_include").isChecked()
+    await page.getByTestId("showmetadata_indexing_include").isChecked(),
   ).toBeFalsy();
   await page.getByTestId("showmetadata_indexing_include").click();
   expect(
-    await page.getByTestId("showmetadata_indexing_include").isChecked()
+    await page.getByTestId("showmetadata_indexing_include").isChecked(),
   ).toBeTruthy();
 
   await page
@@ -93,7 +93,7 @@ test("InputListComponent", async ({ page }) => {
     .click();
 
   const plusButtonLocator = page.getByTestId(
-    "input-list-plus-btn_metadata_indexing_include-1"
+    "input-list-plus-btn_metadata_indexing_include-1",
   );
   const elementCount = await plusButtonLocator?.count();
 
@@ -164,12 +164,12 @@ test("InputListComponent", async ({ page }) => {
     .click();
 
   const plusButtonLocatorEdit0 = await page.getByTestId(
-    "input-list-plus-btn-edit_metadata_indexing_include-0"
+    "input-list-plus-btn-edit_metadata_indexing_include-0",
   );
   const elementCountEdit0 = await plusButtonLocatorEdit0?.count();
 
   const plusButtonLocatorEdit2 = await page.getByTestId(
-    "input-list-plus-btn-edit_metadata_indexing_include-2"
+    "input-list-plus-btn-edit_metadata_indexing_include-2",
   );
   const elementCountEdit2 = await plusButtonLocatorEdit2?.count();
 
@@ -178,13 +178,13 @@ test("InputListComponent", async ({ page }) => {
   }
 
   const minusButtonLocatorEdit1 = await page.getByTestId(
-    "input-list-minus-btn-edit_metadata_indexing_include-1"
+    "input-list-minus-btn-edit_metadata_indexing_include-1",
   );
 
   const elementCountMinusEdit1 = await minusButtonLocatorEdit1?.count();
 
   const minusButtonLocatorEdit2 = await page.getByTestId(
-    "input-list-minus-btn-edit_metadata_indexing_include-2"
+    "input-list-minus-btn-edit_metadata_indexing_include-2",
   );
 
   const elementCountMinusEdit2 = await minusButtonLocatorEdit2?.count();
diff --git a/src/frontend/tests/end-to-end/intComponent.spec.ts b/src/frontend/tests/end-to-end/intComponent.spec.ts
index 87b89d790..e2a539f01 100644
--- a/src/frontend/tests/end-to-end/intComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/intComponent.spec.ts
@@ -15,7 +15,7 @@ test("IntComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -81,77 +81,77 @@ test("IntComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showmodel_kwargs"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_kwargs"]').isChecked()
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showmodel_name"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_name"]').isChecked()
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showopenai_api_base"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_base"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showopenai_api_key"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_key"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showtemperature"]').click();
   expect(
-    await page.locator('//*[@id="showtemperature"]').isChecked()
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showmodel_kwargs"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_kwargs"]').isChecked()
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showmodel_name"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_name"]').isChecked()
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showopenai_api_base"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_base"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showopenai_api_key"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_key"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showtemperature"]').click();
   expect(
-    await page.locator('//*[@id="showtemperature"]').isChecked()
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showmodel_kwargs"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_kwargs"]').isChecked()
+    await page.locator('//*[@id="showmodel_kwargs"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showmodel_name"]').click();
   expect(
-    await page.locator('//*[@id="showmodel_name"]').isChecked()
+    await page.locator('//*[@id="showmodel_name"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showopenai_api_base"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_base"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_base"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showopenai_api_key"]').click();
   expect(
-    await page.locator('//*[@id="showopenai_api_key"]').isChecked()
+    await page.locator('//*[@id="showopenai_api_key"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showtemperature"]').click();
   expect(
-    await page.locator('//*[@id="showtemperature"]').isChecked()
+    await page.locator('//*[@id="showtemperature"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -166,7 +166,7 @@ test("IntComponent", async ({ page }) => {
 
     await page.locator('//*[@id="showtimeout"]').click();
     expect(
-      await page.locator('//*[@id="showtimeout"]').isChecked()
+      await page.locator('//*[@id="showtimeout"]').isChecked(),
     ).toBeTruthy();
 
     const valueEditNode = await page
diff --git a/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts b/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts
index 174254933..42e6ccd4f 100644
--- a/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/keyPairListComponent.spec.ts
@@ -15,7 +15,7 @@ test("KeypairListComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -81,7 +81,7 @@ test("KeypairListComponent", async ({ page }) => {
   expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeFalsy();
   await page.locator('//*[@id="showcredentials_profile_name"]').click();
   expect(
-    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+    await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
   ).toBeFalsy();
   await page.locator('//*[@id="saveChangesBtn"]').click();
 
@@ -96,7 +96,7 @@ test("KeypairListComponent", async ({ page }) => {
 
     await page.locator('//*[@id="showcredentials_profile_name"]').click();
     expect(
-      await page.locator('//*[@id="showcredentials_profile_name"]').isChecked()
+      await page.locator('//*[@id="showcredentials_profile_name"]').isChecked(),
     ).toBeTruthy();
     await page.locator('//*[@id="showcache"]').click();
     expect(await page.locator('//*[@id="showcache"]').isChecked()).toBeTruthy();
diff --git a/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts b/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts
index 9e4956a08..9d9688410 100644
--- a/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts
+++ b/src/frontend/tests/end-to-end/langflowShortcuts.spec.ts
@@ -23,7 +23,7 @@ test("LangflowShortcuts", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -61,7 +61,7 @@ test("LangflowShortcuts", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]'
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]',
     )
     .click();
   await page.keyboard.press("Backspace");
@@ -84,7 +84,7 @@ test("LangflowShortcuts", async ({ page }) => {
 
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]'
+      '//*[@id="react-flow-id"]/div[1]/div[1]/div[1]/div/div[2]/div[2]/div/div[1]/div/div[1]/div/div/div[1]',
     )
     .click();
   await page.keyboard.press("Backspace");
diff --git a/src/frontend/tests/end-to-end/logs.spec.ts b/src/frontend/tests/end-to-end/logs.spec.ts
new file mode 100644
index 000000000..e430529ac
--- /dev/null
+++ b/src/frontend/tests/end-to-end/logs.spec.ts
@@ -0,0 +1,60 @@
+import { test } from "@playwright/test";
+
+test("should able to see and interact with logs", async ({ page }) => {
+  await page.goto("/");
+  await page.waitForTimeout(2000);
+
+  let modalCount = 0;
+  try {
+    const modalTitleElement = await page?.getByTestId("modal-title");
+    if (modalTitleElement) {
+      modalCount = await modalTitleElement.count();
+    }
+  } catch (error) {
+    modalCount = 0;
+  }
+
+  while (modalCount === 0) {
+    await page.getByText("New Project", { exact: true }).click();
+
+    await page.waitForTimeout(5000);
+    modalCount = await page.getByTestId("modal-title")?.count();
+  }
+  await page.waitForTimeout(1000);
+
+  await page.getByRole("heading", { name: "Basic Prompting" }).click();
+  await page.waitForTimeout(2000);
+
+  await page.getByTestId("icon-ChevronDown").click();
+  await page.getByText("Logs").click();
+  await page.getByText("No Data Available", { exact: true }).isVisible();
+  await page.keyboard.press("Escape");
+
+  await page
+    .getByTestId("popover-anchor-input-openai_api_key")
+    .fill(process.env.OPENAI_API_KEY ?? "");
+  await page.getByTestId("button_run_chat output").first().click();
+
+  await page.waitForTimeout(2000);
+  await page
+    .getByText("Chat Output built successfully", { exact: true })
+    .isVisible();
+  await page.getByTestId("icon-ChevronDown").click();
+  await page.getByText("Logs").click();
+
+  await page.getByText("timestamp").isVisible();
+  await page.getByText("flow_id").isVisible();
+  await page.getByText("source").isVisible();
+  await page.getByText("target", { exact: true }).isVisible();
+  await page.getByText("target_args", { exact: true }).isVisible();
+  await page.getByRole("gridcell").first().isVisible();
+
+  await page.getByText("Messages", { exact: true }).click();
+  await page.getByText("timestamp").isVisible();
+  await page.getByText("sender", { exact: true }).isVisible();
+  await page.getByText("sender_name").isVisible();
+  await page.getByText("session_id", { exact: true }).isVisible();
+  await page.getByText("message", { exact: true }).isVisible();
+  await page.getByText("artifacts", { exact: true }).isVisible();
+  await page.getByRole("gridcell").first().isVisible();
+});
diff --git a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
index 993ebfdd5..631d69549 100644
--- a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts
@@ -15,7 +15,7 @@ test("PromptTemplateComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -138,7 +138,7 @@ test("PromptTemplateComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showtemplate"]').click();
   expect(
-    await page.locator('//*[@id="showtemplate"]').isChecked()
+    await page.locator('//*[@id="showtemplate"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showprompt"]').click();
@@ -158,7 +158,7 @@ test("PromptTemplateComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showtemplate"]').click();
   expect(
-    await page.locator('//*[@id="showtemplate"]').isChecked()
+    await page.locator('//*[@id="showtemplate"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showprompt"]').click();
diff --git a/src/frontend/tests/end-to-end/python_api_generation.spec.ts b/src/frontend/tests/end-to-end/python_api_generation.spec.ts
index 27f08edd0..2857c9eb5 100644
--- a/src/frontend/tests/end-to-end/python_api_generation.spec.ts
+++ b/src/frontend/tests/end-to-end/python_api_generation.spec.ts
@@ -13,7 +13,7 @@ test("python_api_generation", async ({ page, context }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -23,7 +23,7 @@ test("python_api_generation", async ({ page, context }) => {
   await page.getByRole("tab", { name: "Python API" }).click();
   await page.getByRole("button", { name: "Copy Code" }).click();
   const handle = await page.evaluateHandle(() =>
-    navigator.clipboard.readText()
+    navigator.clipboard.readText(),
   );
   const clipboardContent = await handle.jsonValue();
   expect(clipboardContent.length).toBeGreaterThan(0);
diff --git a/src/frontend/tests/end-to-end/saveComponents.spec.ts b/src/frontend/tests/end-to-end/saveComponents.spec.ts
index acd8a61e9..49ec8fd0b 100644
--- a/src/frontend/tests/end-to-end/saveComponents.spec.ts
+++ b/src/frontend/tests/end-to-end/saveComponents.spec.ts
@@ -27,7 +27,7 @@ test.describe("save component tests", () => {
     // Read your file into a buffer.
     const jsonContent = readFileSync(
       "tests/end-to-end/assets/flow_group_test.json",
-      "utf-8"
+      "utf-8",
     );
 
     // Create the DataTransfer and File
@@ -49,7 +49,7 @@ test.describe("save component tests", () => {
       "drop",
       {
         dataTransfer,
-      }
+      },
     );
 
     const genericNoda = page.getByTestId("div-generic-node");
diff --git a/src/frontend/tests/end-to-end/store.spec.ts b/src/frontend/tests/end-to-end/store.spec.ts
index 2eff8879a..ec526c0de 100644
--- a/src/frontend/tests/end-to-end/store.spec.ts
+++ b/src/frontend/tests/end-to-end/store.spec.ts
@@ -257,7 +257,7 @@ test("should share component with share button", async ({ page }) => {
   await page.getByText("Set workflow status to public").isVisible();
   await page
     .getByText(
-      "Attention: API keys in specified fields are automatically removed upon sharing."
+      "Attention: API keys in specified fields are automatically removed upon sharing.",
     )
     .isVisible();
   await page.getByText("Export").first().isVisible();
diff --git a/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts b/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts
index 3473155a5..40443cfa5 100644
--- a/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/textAreaModalComponent.spec.ts
@@ -15,7 +15,7 @@ test("TextAreaModalComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -51,7 +51,7 @@ test("TextAreaModalComponent", async ({ page }) => {
   await page
     .getByTestId("textarea-text")
     .fill(
-      "test test test test test test test test test test test !@#%*)( 123456789101010101010101111111111 !!!!!!!!!!"
+      "test test test test test test test test test test test !@#%*)( 123456789101010101010101111111111 !!!!!!!!!!",
     );
 
   await page.getByTestId("textarea-text-ExternalLink").click();
diff --git a/src/frontend/tests/end-to-end/textInputOutput.spec.ts b/src/frontend/tests/end-to-end/textInputOutput.spec.ts
index 9ac25bd8f..b5aee8fba 100644
--- a/src/frontend/tests/end-to-end/textInputOutput.spec.ts
+++ b/src/frontend/tests/end-to-end/textInputOutput.spec.ts
@@ -22,7 +22,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -60,7 +60,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   // Click and hold on the first element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[1]/div/div[2]/div[6]/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[1]/div/div[2]/div[6]/button/div/div',
     )
     .hover();
   await page.mouse.down();
@@ -68,7 +68,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   // Move to the second element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[9]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[9]/div/button/div/div',
     )
     .hover();
 
@@ -92,7 +92,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   // Click and hold on the first element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[13]/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[2]/div/div[2]/div[13]/button/div/div',
     )
     .hover();
   await page.mouse.down();
@@ -100,7 +100,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   // Move to the second element
   await page
     .locator(
-      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[3]/div/div[2]/div[3]/div/button/div/div'
+      '//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div[3]/div/div[2]/div[3]/div/button/div/div',
     )
     .hover();
 
@@ -112,10 +112,13 @@ test("TextInputOutputComponent", async ({ page }) => {
     expect(false).toBe(true);
   }
 
-  await page.getByTestId("input-input_value").nth(0).fill("This is a test!");
+  await page
+    .getByTestId("popover-anchor-input-input_value")
+    .nth(0)
+    .fill("This is a test!");
 
   await page
-    .getByTestId("input-openai_api_key")
+    .getByTestId("popover-anchor-input-openai_api_key")
     .fill(process.env.OPENAI_API_KEY ?? "");
   await page.getByText("Playground", { exact: true }).click();
   await page.getByText("Run Flow", { exact: true }).click();
@@ -135,7 +138,7 @@ test("TextInputOutputComponent", async ({ page }) => {
   await page.keyboard.press("Escape");
 
   await page
-    .getByTestId("input-input_value")
+    .getByTestId("popover-anchor-input-input_value")
     .nth(0)
     .fill("This is a test, again just to be sure!");
   await page.getByText("Playground", { exact: true }).click();
diff --git a/src/frontend/tests/end-to-end/toggleComponent.spec.ts b/src/frontend/tests/end-to-end/toggleComponent.spec.ts
index e04df9689..63c4d473b 100644
--- a/src/frontend/tests/end-to-end/toggleComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/toggleComponent.spec.ts
@@ -15,7 +15,7 @@ test("ToggleComponent", async ({ page }) => {
   }
 
   while (modalCount === 0) {
-    await page.locator('//*[@id="new-project-btn"]').click();
+    await page.getByText("New Project", { exact: true }).click();
     await page.waitForTimeout(5000);
     modalCount = await page.getByTestId("modal-title")?.count();
   }
@@ -45,7 +45,7 @@ test("ToggleComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showload_hidden"]').click();
   expect(
-    await page.locator('//*[@id="showload_hidden"]').isChecked()
+    await page.locator('//*[@id="showload_hidden"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -81,12 +81,12 @@ test("ToggleComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showload_hidden"]').click();
   expect(
-    await page.locator('//*[@id="showload_hidden"]').isChecked()
+    await page.locator('//*[@id="showload_hidden"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showmax_concurrency"]').click();
   expect(
-    await page.locator('//*[@id="showmax_concurrency"]').isChecked()
+    await page.locator('//*[@id="showmax_concurrency"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showpath"]').click();
@@ -94,22 +94,22 @@ test("ToggleComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showrecursive"]').click();
   expect(
-    await page.locator('//*[@id="showrecursive"]').isChecked()
+    await page.locator('//*[@id="showrecursive"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showsilent_errors"]').click();
   expect(
-    await page.locator('//*[@id="showsilent_errors"]').isChecked()
+    await page.locator('//*[@id="showsilent_errors"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showuse_multithreading"]').click();
   expect(
-    await page.locator('//*[@id="showuse_multithreading"]').isChecked()
+    await page.locator('//*[@id="showuse_multithreading"]').isChecked(),
   ).toBeTruthy();
 
   await page.locator('//*[@id="showmax_concurrency"]').click();
   expect(
-    await page.locator('//*[@id="showmax_concurrency"]').isChecked()
+    await page.locator('//*[@id="showmax_concurrency"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showpath"]').click();
@@ -117,17 +117,17 @@ test("ToggleComponent", async ({ page }) => {
 
   await page.locator('//*[@id="showrecursive"]').click();
   expect(
-    await page.locator('//*[@id="showrecursive"]').isChecked()
+    await page.locator('//*[@id="showrecursive"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showsilent_errors"]').click();
   expect(
-    await page.locator('//*[@id="showsilent_errors"]').isChecked()
+    await page.locator('//*[@id="showsilent_errors"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="showuse_multithreading"]').click();
   expect(
-    await page.locator('//*[@id="showuse_multithreading"]').isChecked()
+    await page.locator('//*[@id="showuse_multithreading"]').isChecked(),
   ).toBeFalsy();
 
   await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -144,38 +144,38 @@ test("ToggleComponent", async ({ page }) => {
 
     await page.locator('//*[@id="showload_hidden"]').click();
     expect(
-      await page.locator('//*[@id="showload_hidden"]').isChecked()
+      await page.locator('//*[@id="showload_hidden"]').isChecked(),
     ).toBeTruthy();
 
     expect(
-      await page.getByTestId("toggle-edit-load_hidden").isChecked()
+      await page.getByTestId("toggle-edit-load_hidden").isChecked(),
     ).toBeTruthy();
 
     await page.locator('//*[@id="saveChangesBtn"]').click();
 
     await page.getByTestId("toggle-load_hidden").click();
     expect(
-      await page.getByTestId("toggle-load_hidden").isChecked()
+      await page.getByTestId("toggle-load_hidden").isChecked(),
     ).toBeFalsy();
 
     await page.getByTestId("toggle-load_hidden").click();
     expect(
-      await page.getByTestId("toggle-load_hidden").isChecked()
+      await page.getByTestId("toggle-load_hidden").isChecked(),
     ).toBeTruthy();
 
     await page.getByTestId("toggle-load_hidden").click();
     expect(
-      await page.getByTestId("toggle-load_hidden").isChecked()
+      await page.getByTestId("toggle-load_hidden").isChecked(),
     ).toBeFalsy();
 
     await page.getByTestId("toggle-load_hidden").click();
     expect(
-      await page.getByTestId("toggle-load_hidden").isChecked()
+      await page.getByTestId("toggle-load_hidden").isChecked(),
     ).toBeTruthy();
 
     await page.getByTestId("toggle-load_hidden").click();
     expect(
-      await page.getByTestId("toggle-load_hidden").isChecked()
+      await page.getByTestId("toggle-load_hidden").isChecked(),
     ).toBeFalsy();
   }
 });
diff --git a/src/frontend/tests/end-to-end/tweaks_test.spec.ts b/src/frontend/tests/end-to-end/tweaks_test.spec.ts
index 7d29f9e4c..e2e4c7c11 100644
--- a/src/frontend/tests/end-to-end/tweaks_test.spec.ts
+++ b/src/frontend/tests/end-to-end/tweaks_test.spec.ts
@@ -24,7 +24,7 @@ test("curl_api_generation", async ({ page, context }) => {
   await page.getByRole("tab", { name: "cURL" }).click();
   await page.getByRole("button", { name: "Copy Code" }).click();
   const handle = await page.evaluateHandle(() =>
-    navigator.clipboard.readText()
+    navigator.clipboard.readText(),
   );
   const clipboardContent = await handle.jsonValue();
   const oldValue = clipboardContent;
@@ -50,7 +50,7 @@ test("curl_api_generation", async ({ page, context }) => {
   await page.getByRole("tab", { name: "cURL" }).click();
   await page.getByRole("button", { name: "Copy Code" }).click();
   const handle2 = await page.evaluateHandle(() =>
-    navigator.clipboard.readText()
+    navigator.clipboard.readText(),
   );
   const clipboardContent2 = await handle2.jsonValue();
   const newValue = clipboardContent2;
@@ -98,14 +98,14 @@ test("check if tweaks are updating when someothing on the flow changes", async (
   await page.getByTitle("zoom out").click();
   await page.getByTitle("zoom out").click();
   await page.getByTitle("zoom out").click();
-  await page.getByTestId("input-collection_name").click();
+  await page.getByTestId("popover-anchor-input-collection_name").click();
   await page
-    .getByTestId("input-collection_name")
+    .getByTestId("popover-anchor-input-collection_name")
     .fill("collection_name_test_123123123!@#$&*(&%$@");
 
-  await page.getByTestId("input-index_directory").click();
+  await page.getByTestId("popover-anchor-input-index_directory").click();
   await page
-    .getByTestId("input-index_directory")
+    .getByTestId("popover-anchor-input-index_directory")
     .fill("index_directory_123123123!@#$&*(&%$@");
 
   await page.getByText("API", { exact: true }).first().click();
diff --git a/test-results/.last-run.json b/test-results/.last-run.json
new file mode 100644
index 000000000..8460acf95
--- /dev/null
+++ b/test-results/.last-run.json
@@ -0,0 +1,4 @@
+{
+    "status": "failed",
+    "failedTests": []
+}

From f7d336b2445b21f6d7a98282f49dde01b370606d Mon Sep 17 00:00:00 2001
From: anovazzi1 <otavio2204@gmail.com>
Date: Wed, 22 May 2024 16:06:21 -0300
Subject: [PATCH 2/3] fix tweaks problem in curl (#1947)

* Refactor getCurlCode function to fix JSON formatting issue

* chore: Update package versions in pyproject.toml files
---
 pyproject.toml                  | 2 +-
 src/backend/base/pyproject.toml | 2 +-
 src/frontend/src/utils/utils.ts | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index a4ca17ca9..486de9ec5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "1.0.0a35"
+version = "1.0.0a36"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml
index 6297fcabd..b59196fa2 100644
--- a/src/backend/base/pyproject.toml
+++ b/src/backend/base/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow-base"
-version = "0.0.46"
+version = "0.0.47"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index 46c802211..6e47adf02 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -398,7 +398,7 @@ export function getCurlCode(
   -d '{"input_value": "message",
   "output_type": "chat",
   "input_type": "chat",
-  "tweaks": ${JSON.stringify(tweaksObject, null, 2)}'
+  "tweaks": ${JSON.stringify(tweaksObject, null, 2)}}'
   `;
 }
 

From c540f00d81e754205b2aad7260707760a6b6256c Mon Sep 17 00:00:00 2001
From: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Date: Wed, 22 May 2024 13:54:37 -0700
Subject: [PATCH 3/3] Refactor import statements for OpenAI conversational
 agent (#1949)

* Refactor import statements for OpenAI conversational agent
---
 .../langflow/components/agents/OpenAIConversationalAgent.py     | 2 +-
 .../base/langflow/components/model_specs/ChatOpenAISpecs.py     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
index 0edf8ea55..032704d9c 100644
--- a/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
+++ b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
@@ -8,7 +8,7 @@ from langchain.prompts import SystemMessagePromptTemplate
 from langchain.prompts.chat import MessagesPlaceholder
 from langchain.schema.memory import BaseMemory
 from langchain.tools import Tool
-from langchain_community.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 
 from langflow.field_typing.range_spec import RangeSpec
 from langflow.interface.custom.custom_component import CustomComponent
diff --git a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
index 5a7d47f04..d6560580b 100644
--- a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
@@ -1,6 +1,6 @@
 from typing import Optional
 
-from langchain_community.chat_models.openai import ChatOpenAI
+from langchain_openai import ChatOpenAI
 
 from langflow.base.models.openai_constants import MODEL_NAMES
 from langflow.field_typing import BaseLanguageModel, NestedDict