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langflow/example.har
anovazzi1 dd5bad0926
 Feature: Folders, Logs, Records Output and more (#1938) 
* 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>
2024-05-21 19:19:47 -03:00

710 lines
1.2 MiB
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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 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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 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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\":\"\",\"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 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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 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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 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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,\"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. 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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 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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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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 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{\\\"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\",\"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 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 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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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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 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(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 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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 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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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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 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 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math.\",\"base_classes\":[\"Chain\",\"LLMMathChain\",\"Callable\"],\"display_name\":\"LLMMathChain\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/additional/llm_math\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQA\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"query\",\"fileTypes\":[],\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"result\",\"fileTypes\":[],\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"BaseRetrievalQA\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQA\",\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RetrievalQAWithSourcesChain\":{\"template\":{\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"combine_documents_chain\":{\"type\":\"BaseCombineDocumentsChain\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"answer\",\"fileTypes\":[],\"password\":false,\"name\":\"answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_docs_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"docs\",\"fileTypes\":[],\"password\":false,\"name\":\"input_docs_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_tokens_limit\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3375,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"question_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"question\",\"fileTypes\":[],\"password\":false,\"name\":\"question_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"reduce_k_below_max_tokens\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"reduce_k_below_max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"return_source_documents\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"sources_answer_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"sources\",\"fileTypes\":[],\"password\":false,\"name\":\"sources_answer_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RetrievalQAWithSourcesChain\"},\"description\":\"Question-answering with sources over an index.\",\"base_classes\":[\"RetrievalQAWithSourcesChain\",\"BaseQAWithSourcesChain\",\"Chain\",\"Callable\"],\"display_name\":\"RetrievalQAWithSourcesChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabaseChain\":{\"template\":{\"db\":{\"type\":\"SQLDatabase\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"db\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabaseChain\"},\"description\":\"Create a SQLDatabaseChain from an LLM and a database connection.\",\"base_classes\":[\"SQLDatabaseChain\",\"Chain\",\"Callable\"],\"display_name\":\"SQLDatabaseChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CombineDocsChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chain_type\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"Callable\"],\"display_name\":\"CombineDocsChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SeriesCharacterChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"character\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"character\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"series\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"series\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SeriesCharacterChain\"},\"description\":\"SeriesCharacterChain is a chain you can use to have a conversation with a character from a series.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"SeriesCharacterChain\",\"Callable\"],\"display_name\":\"SeriesCharacterChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MidJourneyPromptChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MidJourneyPromptChain\"},\"description\":\"MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"Chain\",\"ConversationChain\",\"MidJourneyPromptChain\"],\"display_name\":\"MidJourneyPromptChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"TimeTravelGuideChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TimeTravelGuideChain\"},\"description\":\"Time travel guide chain.\",\"base_classes\":[\"LLMChain\",\"BaseCustomChain\",\"TimeTravelGuideChain\",\"Chain\",\"ConversationChain\"],\"display_name\":\"TimeTravelGuideChain\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"LLMChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"BasePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"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\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"field_formatters\":{},\"beta\":true},\"ConversationChain\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.chains import ConversationChain\\nfrom typing import Optional, Union, Callable\\nfrom langflow.field_typing import BaseLanguageModel, BaseMemory, Chain\\n\\n\\nclass ConversationChainComponent(CustomComponent):\\n display_name = \\\"ConversationChain\\\"\\n description = \\\"Chain to have a conversation and load context from memory.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\n \\\"display_name\\\": \\\"Memory\\\",\\n \\\"info\\\": \\\"Memory to load context from. If none is provided, a ConversationBufferMemory will be used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n if memory is None:\\n return ConversationChain(llm=llm)\\n return ConversationChain(llm=llm, memory=memory)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\",\"custom_fields\":{\"llm\":null,\"memory\":null},\"output_types\":[\"ConversationChain\"],\"field_formatters\":{},\"beta\":true},\"PromptRunner\":{\"template\":{\"llm\":{\"type\":\"BaseLLM\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prompt\":{\"type\":\"PromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"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\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"inputs\":{\"type\":\"dict\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"documentation\":\"\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"field_formatters\":{},\"beta\":true}},\"agents\":{\"ZeroShotAgent\":{\"template\":{\"callback_manager\":{\"type\":\"BaseCallbackManager\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callback_manager\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_parser\":{\"type\":\"AgentOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"BaseTool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"format_instructions\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"Use the following format:\\n\\nQuestion: the input question you must answer\\nThought: you should always think about what to do\\nAction: the action to take, should be one of [{tool_names}]\\nAction Input: the input to the action\\nObservation: the result of the action\\n... (this Thought/Action/Action Input/Observation can repeat N times)\\nThought: I now know the final answer\\nFinal Answer: the final answer to the original input question\",\"fileTypes\":[],\"password\":false,\"name\":\"format_instructions\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Answer the following questions as best you can. You have access to the following tools:\",\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"Begin!\\n\\nQuestion: {input}\\nThought:{agent_scratchpad}\",\"fileTypes\":[],\"password\":false,\"name\":\"suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ZeroShotAgent\"},\"description\":\"Construct an agent from an LLM and tools.\",\"base_classes\":[\"ZeroShotAgent\",\"BaseSingleActionAgent\",\"Agent\",\"Callable\"],\"display_name\":\"ZeroShotAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"JsonAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"toolkit\":{\"type\":\"BaseToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"json_agent\"},\"description\":\"Construct a json agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"JsonAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/openapi\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CSVAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreinfo\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreinfo\",\"display_name\":\"Vector Store Info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstore_agent\"},\"description\":\"Construct an agent from a Vector Store.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstoreroutertoolkit\":{\"type\":\"VectorStoreRouterToolkit\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectorstoreroutertoolkit\",\"display_name\":\"Vector Store Router Toolkit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"vectorstorerouter_agent\"},\"description\":\"Construct an agent from a Vector Store Router.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"VectorStoreRouterAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLAgent\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"sql_agent\"},\"description\":\"Construct an SQL agent from an LLM and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"SQLAgent\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AgentInitializer\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory\":{\"type\":\"BaseChatMemory\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"agent\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"fileTypes\":[],\"file_path\":\"\",\"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\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"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\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_iterations\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"AgentExecutor\",\"Chain\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"field_formatters\":{},\"beta\":true},\"OpenAIConversationalAgent\":{\"template\":{\"memory\":{\"type\":\"BaseMemory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"system_message\":{\"type\":\"SystemMessagePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"system_message\",\"display_name\":\"System Message\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tools\":{\"type\":\"Tool\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\n\\nfrom langchain.agents.agent import AgentExecutor\\nfrom langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message\\nfrom langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent\\nfrom langchain.chat_models import ChatOpenAI\\nfrom langchain.memory.token_buffer import ConversationTokenBufferMemory\\nfrom langchain.prompts import SystemMessagePromptTemplate\\nfrom langchain.prompts.chat import MessagesPlaceholder\\nfrom langchain.schema.memory import BaseMemory\\nfrom langchain.tools import Tool\\nfrom langflow import CustomComponent\\n\\n\\nclass ConversationalAgent(CustomComponent):\\n display_name: str = \\\"OpenAI Conversational Agent\\\"\\n description: str = \\\"Conversational Agent that can use OpenAI's function calling API\\\"\\n\\n def build_config(self):\\n openai_function_models = [\\n \\\"gpt-4-1106-preview\\\",\\n \\\"gpt-3.5-turbo\\\",\\n \\\"gpt-3.5-turbo-16k\\\",\\n \\\"gpt-4\\\",\\n \\\"gpt-4-32k\\\",\\n ]\\n return {\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"system_message\\\": {\\\"display_name\\\": \\\"System Message\\\"},\\n \\\"max_token_limit\\\": {\\\"display_name\\\": \\\"Max Token Limit\\\"},\\n \\\"model_name\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": openai_function_models,\\n \\\"value\\\": openai_function_models[0],\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_name: str,\\n openai_api_key: str,\\n tools: List[Tool],\\n openai_api_base: Optional[str] = None,\\n memory: Optional[BaseMemory] = None,\\n system_message: Optional[SystemMessagePromptTemplate] = None,\\n max_token_limit: int = 2000,\\n ) -> AgentExecutor:\\n llm = ChatOpenAI(\\n model=model_name,\\n api_key=openai_api_key,\\n base_url=openai_api_base,\\n )\\n if not memory:\\n memory_key = \\\"chat_history\\\"\\n memory = ConversationTokenBufferMemory(\\n memory_key=memory_key,\\n return_messages=True,\\n output_key=\\\"output\\\",\\n llm=llm,\\n max_token_limit=max_token_limit,\\n )\\n else:\\n memory_key = memory.memory_key # type: ignore\\n\\n _system_message = system_message or _get_default_system_message()\\n prompt = OpenAIFunctionsAgent.create_prompt(\\n system_message=_system_message, # type: ignore\\n extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)],\\n )\\n agent = OpenAIFunctionsAgent(\\n llm=llm,\\n tools=tools,\\n prompt=prompt, # type: ignore\\n )\\n return AgentExecutor(\\n agent=agent,\\n tools=tools, # type: ignore\\n memory=memory,\\n verbose=True,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_token_limit\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2000,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_token_limit\",\"display_name\":\"Max Token Limit\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"openai_api_base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"openai_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Conversational Agent that can use OpenAI's function calling API\",\"base_classes\":[\"AgentExecutor\",\"Chain\"],\"display_name\":\"OpenAI Conversational Agent\",\"documentation\":\"\",\"custom_fields\":{\"max_token_limit\":null,\"memory\":null,\"model_name\":null,\"openai_api_base\":null,\"openai_api_key\":null,\"system_message\":null,\"tools\":null},\"output_types\":[\"OpenAIConversationalAgent\"],\"field_formatters\":{},\"beta\":true}},\"prompts\":{\"ChatMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"role\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"role\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatMessagePromptTemplate\"},\"description\":\"Chat message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"ChatMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"ChatMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatPromptTemplate\":{\"template\":{\"messages\":{\"type\":\"BaseMessagePromptTemplate\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"BaseChatPromptTemplate\",\"BasePromptTemplate\",\"ChatPromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HumanMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"HumanMessagePromptTemplate\"},\"description\":\"Human message prompt template. This is a message sent from the user.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"HumanMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"HumanMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"PromptTemplate\":{\"template\":{\"output_parser\":{\"type\":\"BaseOutputParser\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_types\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"input_variables\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"partial_variables\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"template_format\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"fileTypes\":[],\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"validate_template\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"PromptTemplate\"},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"PromptTemplate\",\"StringPromptTemplate\"],\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SystemMessagePromptTemplate\":{\"template\":{\"additional_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"additional_kwargs\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"prompt\":{\"type\":\"prompt\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"\\nYou are a helpful assistant that talks casually about life in general.\\nYou are a good listener and you can talk about anything.\\n\",\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"SystemMessagePromptTemplate\"},\"description\":\"System message prompt template.\",\"base_classes\":[\"BaseStringMessagePromptTemplate\",\"SystemMessagePromptTemplate\",\"BaseMessagePromptTemplate\"],\"display_name\":\"SystemMessagePromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"llms\":{\"Anthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], 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Vertex AI large language models.\",\"base_classes\":[\"BaseLanguageModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"BaseLLM\",\"VertexAI\"],\"display_name\":\"VertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ChatAnthropic\":{\"template\":{\"anthropic_api_key\":{\"type\":\"SecretStr\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"anthropic_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"count_tokens\":{\"type\":\"Callable[[str], int]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"count_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"AI_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"AI_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"HUMAN_PROMPT\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"HUMAN_PROMPT\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"anthropic_api_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"anthropic_api_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"cache\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"default_request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"max_tokens_to_sample\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"password\":false,\"name\":\"max_tokens_to_sample\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"claude-2\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatAnthropic\"},\"description\":\"`Anthropic` chat large language 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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\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"verbose\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models 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AI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseChatModel\",\"_VertexAIBase\",\"_VertexAICommon\",\"ChatVertexAI\",\"BaseLLM\"],\"display_name\":\"ChatVertexAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrock\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.bedrock import Bedrock\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass AmazonBedrockComponent(CustomComponent):\\n display_name: str = \\\"Amazon Bedrock\\\"\\n description: str = \\\"LLM model from Amazon Bedrock.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\n \\\"ai21.j2-grande-instruct\\\",\\n \\\"ai21.j2-jumbo-instruct\\\",\\n \\\"ai21.j2-mid\\\",\\n \\\"ai21.j2-mid-v1\\\",\\n \\\"ai21.j2-ultra\\\",\\n \\\"ai21.j2-ultra-v1\\\",\\n \\\"anthropic.claude-instant-v1\\\",\\n \\\"anthropic.claude-v1\\\",\\n \\\"anthropic.claude-v2\\\",\\n \\\"cohere.command-text-v14\\\",\\n ],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"streaming\\\": {\\\"display_name\\\": \\\"Streaming\\\", \\\"field_type\\\": \\\"bool\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"anthropic.claude-instant-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = Bedrock(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"anthropic.claude-instant-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ai21.j2-grande-instruct\",\"ai21.j2-jumbo-instruct\",\"ai21.j2-mid\",\"ai21.j2-mid-v1\",\"ai21.j2-ultra\",\"ai21.j2-ultra-v1\",\"anthropic.claude-instant-v1\",\"anthropic.claude-v1\",\"anthropic.claude-v2\",\"cohere.command-text-v14\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Amazon Bedrock.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Amazon Bedrock\",\"documentation\":\"\",\"custom_fields\":{\"credentials_profile_name\":null,\"model_id\":null},\"output_types\":[\"AmazonBedrock\"],\"field_formatters\":{},\"beta\":true},\"AnthropicLLM\":{\"template\":{\"anthropic_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"anthropic_api_key\",\"display_name\":\"Anthropic API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"Your Anthropic API key.\"},\"api_endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_endpoint\",\"display_name\":\"API Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.anthropic import ChatAnthropic\\nfrom langchain.llms.base import BaseLanguageModel\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass AnthropicLLM(CustomComponent):\\n display_name: str = \\\"AnthropicLLM\\\"\\n description: str = \\\"Anthropic Chat&Completion large language models.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"claude-2.1\\\",\\n \\\"claude-2.0\\\",\\n \\\"claude-instant-1.2\\\",\\n \\\"claude-instant-1\\\",\\n # Add more models as needed\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/anthropic\\\",\\n \\\"required\\\": True,\\n \\\"value\\\": \\\"claude-2.1\\\",\\n },\\n \\\"anthropic_api_key\\\": {\\n \\\"display_name\\\": \\\"Anthropic API Key\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"Your Anthropic API key.\\\",\\n },\\n \\\"max_tokens\\\": {\\n \\\"display_name\\\": \\\"Max Tokens\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 256,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"value\\\": 0.7,\\n },\\n \\\"api_endpoint\\\": {\\n \\\"display_name\\\": \\\"API Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str,\\n anthropic_api_key: Optional[str] = None,\\n max_tokens: Optional[int] = None,\\n temperature: Optional[float] = None,\\n api_endpoint: Optional[str] = None,\\n ) -> BaseLanguageModel:\\n # Set default API endpoint if not provided\\n if not api_endpoint:\\n api_endpoint = \\\"https://api.anthropic.com\\\"\\n\\n try:\\n output = ChatAnthropic(\\n model_name=model,\\n anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None,\\n max_tokens_to_sample=max_tokens, # type: ignore\\n temperature=temperature,\\n anthropic_api_url=api_endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Anthropic API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"max_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":256,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"max_tokens\",\"display_name\":\"Max Tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"claude-2.1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"claude-2.1\",\"claude-2.0\",\"claude-instant-1.2\",\"claude-instant-1\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/anthropic\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.7,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Anthropic Chat&Completion large language models.\",\"base_classes\":[\"BaseLanguageModel\"],\"display_name\":\"AnthropicLLM\",\"documentation\":\"\",\"custom_fields\":{\"anthropic_api_key\":null,\"api_endpoint\":null,\"max_tokens\":null,\"model\":null,\"temperature\":null},\"output_types\":[\"AnthropicLLM\"],\"field_formatters\":{},\"beta\":true},\"HuggingFaceEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.huggingface_endpoint import HuggingFaceEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass HuggingFaceEndpointsComponent(CustomComponent):\\n display_name: str = \\\"Hugging Face Inference API\\\"\\n description: str = \\\"LLM model from Hugging Face Inference API.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Endpoint URL\\\", \\\"password\\\": True},\\n \\\"task\\\": {\\n \\\"display_name\\\": \\\"Task\\\",\\n \\\"options\\\": [\\\"text2text-generation\\\", \\\"text-generation\\\", \\\"summarization\\\"],\\n },\\n \\\"huggingfacehub_api_token\\\": {\\\"display_name\\\": \\\"API token\\\", \\\"password\\\": True},\\n \\\"model_kwargs\\\": {\\n \\\"display_name\\\": \\\"Model Keyword Arguments\\\",\\n \\\"field_type\\\": \\\"code\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n endpoint_url: str,\\n task: str = \\\"text2text-generation\\\",\\n huggingfacehub_api_token: Optional[str] = None,\\n model_kwargs: Optional[dict] = None,\\n ) -> BaseLLM:\\n try:\\n output = HuggingFaceEndpoint(\\n endpoint_url=endpoint_url,\\n task=task,\\n huggingfacehub_api_token=huggingfacehub_api_token,\\n model_kwargs=model_kwargs,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to HuggingFace Endpoints API.\\\") from e\\n return output\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"endpoint_url\",\"display_name\":\"Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"huggingfacehub_api_token\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"huggingfacehub_api_token\",\"display_name\":\"API token\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"model_kwargs\",\"display_name\":\"Model Keyword Arguments\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"task\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"text2text-generation\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"text2text-generation\",\"text-generation\",\"summarization\"],\"name\":\"task\",\"display_name\":\"Task\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"LLM model from Hugging Face Inference API.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"Hugging Face Inference API\",\"documentation\":\"\",\"custom_fields\":{\"endpoint_url\":null,\"huggingfacehub_api_token\":null,\"model_kwargs\":null,\"task\":null},\"output_types\":[\"HuggingFaceEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanChatEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint\\nfrom langchain.llms.base import BaseLLM\\nfrom pydantic.v1 import SecretStr\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass QianfanChatEndpointComponent(CustomComponent):\\n display_name: str = \\\"QianfanChatEndpoint\\\"\\n description: str = (\\n \\\"Baidu Qianfan chat models. Get more detail from \\\"\\n \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\\\"\\n )\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"ERNIE-Bot\\\",\\n \\\"ERNIE-Bot-turbo\\\",\\n \\\"BLOOMZ-7B\\\",\\n \\\"Llama-2-7b-chat\\\",\\n \\\"Llama-2-13b-chat\\\",\\n \\\"Llama-2-70b-chat\\\",\\n \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n \\\"ChatGLM2-6B-32K\\\",\\n \\\"AquilaChat-7B\\\",\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n \\\"required\\\": True,\\n },\\n \\\"qianfan_ak\\\": {\\n \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"qianfan_sk\\\": {\\n \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"top_p\\\": {\\n \\\"display_name\\\": \\\"Top p\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.8,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.95,\\n },\\n \\\"penalty_score\\\": {\\n \\\"display_name\\\": \\\"Penalty Score\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 1.0,\\n },\\n \\\"endpoint\\\": {\\n \\\"display_name\\\": \\\"Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str = \\\"ERNIE-Bot-turbo\\\",\\n qianfan_ak: Optional[str] = None,\\n qianfan_sk: Optional[str] = None,\\n top_p: Optional[float] = None,\\n temperature: Optional[float] = None,\\n penalty_score: Optional[float] = None,\\n endpoint: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = QianfanChatEndpoint( # type: ignore\\n model=model,\\n qianfan_ak=SecretStr(qianfan_ak) if qianfan_ak else None,\\n qianfan_sk=SecretStr(qianfan_sk) if qianfan_sk else None,\\n top_p=top_p,\\n temperature=temperature,\\n penalty_score=penalty_score,\\n endpoint=endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n return output # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan chat models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint.\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanChatEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanChatEndpoints\"],\"field_formatters\":{},\"beta\":true},\"BaiduQianfanLLMEndpoints\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint\\nfrom langchain.llms.base import BaseLLM\\n\\n\\nclass QianfanLLMEndpointComponent(CustomComponent):\\n display_name: str = \\\"QianfanLLMEndpoint\\\"\\n description: str = (\\n \\\"Baidu Qianfan hosted open source or customized models. \\\"\\n \\\"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\"\\n )\\n\\n def build_config(self):\\n return {\\n \\\"model\\\": {\\n \\\"display_name\\\": \\\"Model Name\\\",\\n \\\"options\\\": [\\n \\\"ERNIE-Bot\\\",\\n \\\"ERNIE-Bot-turbo\\\",\\n \\\"BLOOMZ-7B\\\",\\n \\\"Llama-2-7b-chat\\\",\\n \\\"Llama-2-13b-chat\\\",\\n \\\"Llama-2-70b-chat\\\",\\n \\\"Qianfan-BLOOMZ-7B-compressed\\\",\\n \\\"Qianfan-Chinese-Llama-2-7B\\\",\\n \\\"ChatGLM2-6B-32K\\\",\\n \\\"AquilaChat-7B\\\",\\n ],\\n \\\"info\\\": \\\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\\\",\\n \\\"required\\\": True,\\n },\\n \\\"qianfan_ak\\\": {\\n \\\"display_name\\\": \\\"Qianfan Ak\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"qianfan_sk\\\": {\\n \\\"display_name\\\": \\\"Qianfan Sk\\\",\\n \\\"required\\\": True,\\n \\\"password\\\": True,\\n \\\"info\\\": \\\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\\\",\\n },\\n \\\"top_p\\\": {\\n \\\"display_name\\\": \\\"Top p\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.8,\\n },\\n \\\"temperature\\\": {\\n \\\"display_name\\\": \\\"Temperature\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 0.95,\\n },\\n \\\"penalty_score\\\": {\\n \\\"display_name\\\": \\\"Penalty Score\\\",\\n \\\"field_type\\\": \\\"float\\\",\\n \\\"info\\\": \\\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\\\",\\n \\\"value\\\": 1.0,\\n },\\n \\\"endpoint\\\": {\\n \\\"display_name\\\": \\\"Endpoint\\\",\\n \\\"info\\\": \\\"Endpoint of the Qianfan LLM, required if custom model used.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model: str = \\\"ERNIE-Bot-turbo\\\",\\n qianfan_ak: Optional[str] = None,\\n qianfan_sk: Optional[str] = None,\\n top_p: Optional[float] = None,\\n temperature: Optional[float] = None,\\n penalty_score: Optional[float] = None,\\n endpoint: Optional[str] = None,\\n ) -> BaseLLM:\\n try:\\n output = QianfanLLMEndpoint( # type: ignore\\n model=model,\\n qianfan_ak=qianfan_ak,\\n qianfan_sk=qianfan_sk,\\n top_p=top_p,\\n temperature=temperature,\\n penalty_score=penalty_score,\\n endpoint=endpoint,\\n )\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Baidu Qianfan API.\\\") from e\\n return output # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"endpoint\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint\",\"display_name\":\"Endpoint\",\"advanced\":false,\"dynamic\":false,\"info\":\"Endpoint of the Qianfan LLM, required if custom model used.\"},\"model\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"ERNIE-Bot-turbo\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"ERNIE-Bot\",\"ERNIE-Bot-turbo\",\"BLOOMZ-7B\",\"Llama-2-7b-chat\",\"Llama-2-13b-chat\",\"Llama-2-70b-chat\",\"Qianfan-BLOOMZ-7B-compressed\",\"Qianfan-Chinese-Llama-2-7B\",\"ChatGLM2-6B-32K\",\"AquilaChat-7B\"],\"name\":\"model\",\"display_name\":\"Model Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\"},\"penalty_score\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1.0,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"penalty_score\",\"display_name\":\"Penalty Score\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"qianfan_ak\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_ak\",\"display_name\":\"Qianfan Ak\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"qianfan_sk\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"qianfan_sk\",\"display_name\":\"Qianfan Sk\",\"advanced\":false,\"dynamic\":false,\"info\":\"which you could get from https://cloud.baidu.com/product/wenxinworkshop\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"temperature\",\"display_name\":\"Temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":0.8,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"top_p\",\"display_name\":\"Top p\",\"advanced\":false,\"dynamic\":false,\"info\":\"Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"CustomComponent\"},\"description\":\"Baidu Qianfan hosted open source or customized models. Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint\",\"base_classes\":[\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"QianfanLLMEndpoint\",\"documentation\":\"\",\"custom_fields\":{\"endpoint\":null,\"model\":null,\"penalty_score\":null,\"qianfan_ak\":null,\"qianfan_sk\":null,\"temperature\":null,\"top_p\":null},\"output_types\":[\"BaiduQianfanLLMEndpoints\"],\"field_formatters\":{},\"beta\":true}},\"memories\":{\"ConversationBufferMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"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.\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationBufferWindowMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"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.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationBufferWindowMemory\"},\"description\":\"Buffer for storing conversation memory inside a limited size window.\",\"base_classes\":[\"BaseChatMemory\",\"ConversationBufferWindowMemory\",\"BaseMemory\"],\"display_name\":\"ConversationBufferWindowMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer_window\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationEntityMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_store\":{\"type\":\"BaseEntityStore\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_store\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_summarization_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_summarization_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chat_history_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"history\",\"fileTypes\":[],\"password\":false,\"name\":\"chat_history_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_cache\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"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.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationEntityMemory\"},\"description\":\"Entity extractor & summarizer memory.\",\"base_classes\":[\"BaseChatMemory\",\"BaseMemory\",\"ConversationEntityMemory\"],\"display_name\":\"ConversationEntityMemory\",\"documentation\":\"https://python.langchain.com/docs/modules/memory/integrations/entity_memory_with_sqlite\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"ConversationKGMemory\":{\"template\":{\"chat_memory\":{\"type\":\"BaseChatMessageHistory\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"entity_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"entity_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"kg\":{\"type\":\"NetworkxEntityGraph\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"kg\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"knowledge_extraction_prompt\":{\"type\":\"BasePromptTemplate\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"knowledge_extraction_prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"summary_message_cls\":{\"type\":\"Type[langchain_core.messages.base.BaseMessage]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"summary_message_cls\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ai_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"AI\",\"fileTypes\":[],\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"human_prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"Human\",\"fileTypes\":[],\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"input_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"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.\"},\"k\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"display_name\":\"Memory Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"memory_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"fileTypes\":[],\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"output_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\"},\"return_messages\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"ConversationKGMemory\"},\"description\":\"Knowledge graph conversation 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"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPostTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"RequestsPostTool\",\"BaseRequestsTool\",\"BaseTool\"],\"display_name\":\"RequestsPostTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"RequestsPutTool\":{\"template\":{\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"RequestsPutTool\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseRequestsTool\",\"BaseTool\",\"RequestsPutTool\"],\"display_name\":\"RequestsPutTool\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WikipediaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"WikipediaQueryRun\",\"BaseTool\"],\"display_name\":\"WikipediaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaQueryRun\":{\"template\":{\"api_wrapper\":{\"type\":\"WolframAlphaAPIWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"api_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"args_schema\":{\"type\":\"Type[pydantic.v1.main.BaseModel]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"args_schema\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"callbacks\":{\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"handle_tool_error\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"handle_tool_error\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tags\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaQueryRun\"},\"description\":\"\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseTool\",\"WolframAlphaQueryRun\"],\"display_name\":\"WolframAlphaQueryRun\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"toolkits\":{\"JsonToolkit\":{\"template\":{\"spec\":{\"type\":\"JsonSpec\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"spec\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"JsonToolkit\"},\"description\":\"Toolkit for interacting with a JSON spec.\",\"base_classes\":[\"JsonToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"JsonToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"OpenAPIToolkit\":{\"template\":{\"json_agent\":{\"type\":\"AgentExecutor\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"json_agent\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"requests_wrapper\":{\"type\":\"TextRequestsWrapper\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"requests_wrapper\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAPIToolkit\"},\"description\":\"Toolkit for interacting with an OpenAPI API.\",\"base_classes\":[\"OpenAPIToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"OpenAPIToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreInfo\":{\"template\":{\"vectorstore\":{\"type\":\"VectorStore\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"description\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"description\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreInfo\"},\"description\":\"Information about a VectorStore.\",\"base_classes\":[\"VectorStoreInfo\"],\"display_name\":\"VectorStoreInfo\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreRouterToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstores\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstores\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreRouterToolkit\"},\"description\":\"Toolkit for routing between Vector Stores.\",\"base_classes\":[\"VectorStoreRouterToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreRouterToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VectorStoreToolkit\":{\"template\":{\"llm\":{\"type\":\"BaseLanguageModel\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectorstore_info\":{\"type\":\"VectorStoreInfo\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vectorstore_info\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"VectorStoreToolkit\"},\"description\":\"Toolkit for interacting with a Vector Store.\",\"base_classes\":[\"VectorStoreToolkit\",\"BaseToolkit\",\"Tool\"],\"display_name\":\"VectorStoreToolkit\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Metaphor\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Union\\n\\nfrom langchain.agents import tool\\nfrom langchain.agents.agent_toolkits.base import BaseToolkit\\nfrom langchain.tools import Tool\\nfrom metaphor_python import Metaphor # type: ignore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass MetaphorToolkit(CustomComponent):\\n display_name: str = \\\"Metaphor\\\"\\n description: str = \\\"Metaphor Toolkit\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/tools/metaphor_search\\\"\\n beta: bool = True\\n # api key should be password = True\\n field_config = {\\n \\\"metaphor_api_key\\\": {\\\"display_name\\\": \\\"Metaphor API Key\\\", \\\"password\\\": True},\\n \\\"code\\\": {\\\"advanced\\\": True},\\n }\\n\\n def build(\\n self,\\n metaphor_api_key: str,\\n use_autoprompt: bool = True,\\n search_num_results: int = 5,\\n similar_num_results: int = 5,\\n ) -> Union[Tool, BaseToolkit]:\\n # If documents, then we need to create a Vectara instance using .from_documents\\n client = Metaphor(api_key=metaphor_api_key)\\n\\n @tool\\n def search(query: str):\\n \\\"\\\"\\\"Call search engine with a query.\\\"\\\"\\\"\\n return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results)\\n\\n @tool\\n def get_contents(ids: List[str]):\\n \\\"\\\"\\\"Get contents of a webpage.\\n\\n The ids passed in should be a list of ids as fetched from `search`.\\n \\\"\\\"\\\"\\n return client.get_contents(ids)\\n\\n @tool\\n def find_similar(url: str):\\n \\\"\\\"\\\"Get search results similar to a given URL.\\n\\n The url passed in should be a URL returned from `search`\\n \\\"\\\"\\\"\\n return client.find_similar(url, num_results=similar_num_results)\\n\\n return [search, get_contents, find_similar] # type: ignore\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":true,\"dynamic\":true,\"info\":\"\"},\"metaphor_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"metaphor_api_key\",\"display_name\":\"Metaphor API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"search_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"similar_num_results\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"similar_num_results\",\"display_name\":\"similar_num_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"use_autoprompt\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"use_autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Metaphor Toolkit\",\"base_classes\":[\"Tool\",\"BaseTool\",\"BaseToolkit\"],\"display_name\":\"Metaphor\",\"documentation\":\"https://python.langchain.com/docs/integrations/tools/metaphor_search\",\"custom_fields\":{\"metaphor_api_key\":null,\"search_num_results\":null,\"similar_num_results\":null,\"use_autoprompt\":null},\"output_types\":[\"Metaphor\"],\"field_formatters\":{},\"beta\":true}},\"wrappers\":{\"TextRequestsWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"auth\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"auth\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"TextRequestsWrapper\"},\"description\":\"Lightweight wrapper around requests library.\",\"base_classes\":[\"TextRequestsWrapper\"],\"display_name\":\"TextRequestsWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SQLDatabase\":{\"template\":{\"database_uri\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"database_uri\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engine_args\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"engine_args\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SQLDatabase\"},\"description\":\"Construct a SQLAlchemy engine from URI.\",\"base_classes\":[\"SQLDatabase\",\"Callable\"],\"display_name\":\"SQLDatabase\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false}},\"embeddings\":{\"OpenAIEmbeddings\":{\"template\":{\"allowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"default_query\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"deployment\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"disallowed_special\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"all\",\"fileTypes\":[],\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"embedding_ctx_length\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":8191,\"fileTypes\":[],\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"http_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":2,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_base\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"openai_api_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_api_version\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_organization\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"openai_proxy\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"retry_max_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":20,\"fileTypes\":[],\"password\":false,\"name\":\"retry_max_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"retry_min_seconds\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"retry_min_seconds\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"show_progress_bar\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"skip_empty\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"tiktoken_enabled\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":true,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tiktoken_model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"CohereEmbeddings\":{\"template\":{\"async_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"cohere_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"fileTypes\":[],\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"truncate\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"user_agent\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"fileTypes\":[],\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"Embeddings\",\"CohereEmbeddings\"],\"display_name\":\"CohereEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"HuggingFaceEmbeddings\":{\"template\":{\"cache_folder\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"cache_folder\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"encode_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"encode_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"sentence-transformers/all-mpnet-base-v2\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"multi_process\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"multi_process\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"HuggingFaceEmbeddings\"},\"description\":\"HuggingFace sentence_transformers embedding models.\",\"base_classes\":[\"Embeddings\",\"HuggingFaceEmbeddings\"],\"display_name\":\"HuggingFaceEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"VertexAIEmbeddings\":{\"template\":{\"client\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"client_preview\":{\"type\":\"ForwardRef(\\\"'_LanguageModel'\\\")\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client_preview\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"credentials\":{\"type\":\"file\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"credentials\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"us-central1\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"max_output_tokens\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":128,\"fileTypes\":[],\"password\":true,\"name\":\"max_output_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"max_retries\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6,\"fileTypes\":[],\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"model_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"textembedding-gecko\",\"fileTypes\":[],\"password\":false,\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"n\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1,\"fileTypes\":[],\"password\":false,\"name\":\"n\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"project\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"project\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"request_parallelism\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"password\":false,\"name\":\"request_parallelism\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"stop\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"stop\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"streaming\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"streaming\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"temperature\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.0,\"fileTypes\":[],\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"top_k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":40,\"fileTypes\":[],\"password\":false,\"name\":\"top_k\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"top_p\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":0.95,\"fileTypes\":[],\"password\":false,\"name\":\"top_p\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"_type\":\"VertexAIEmbeddings\"},\"description\":\"Google Cloud VertexAI embedding models.\",\"base_classes\":[\"_VertexAIBase\",\"_VertexAICommon\",\"Embeddings\",\"VertexAIEmbeddings\"],\"display_name\":\"VertexAIEmbeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonBedrockEmbeddings\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"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\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"credentials_profile_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"endpoint_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"model_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"region_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"field_formatters\":{},\"beta\":true}},\"vectorstores\":{\"FAISS\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"folder_path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"folder_path\",\"display_name\":\"Local Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"FAISS\"},\"description\":\"Construct FAISS wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"FAISS\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"FAISS\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"MongoDBAtlasVectorSearch\":{\"template\":{\"collection\":{\"type\":\"Collection[MongoDBDocumentType]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"db_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"db_name\",\"display_name\":\"Database Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_name\",\"display_name\":\"Index Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"mongodb_atlas_cluster_uri\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"mongodb_atlas_cluster_uri\",\"display_name\":\"MongoDB Atlas Cluster URI\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MongoDBAtlasVectorSearch\"},\"description\":\"Construct a `MongoDB Atlas Vector Search` vector store from raw documents.\",\"base_classes\":[\"VectorStore\",\"MongoDBAtlasVectorSearch\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"MongoDB Atlas\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Pinecone\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":32,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"namespace\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"namespace\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pinecone_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_api_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pinecone_env\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pinecone_env\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"pool_threads\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4,\"fileTypes\":[],\"password\":false,\"name\":\"pool_threads\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"upsert_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"upsert_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Pinecone\"},\"description\":\"Construct Pinecone wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Pinecone\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Pinecone\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Qdrant\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hnsw_config\":{\"type\":\"common_types.HnswConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"hnsw_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"init_from\":{\"type\":\"common_types.InitFrom\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"init_from\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"optimizers_config\":{\"type\":\"common_types.OptimizersConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"optimizers_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"quantization_config\":{\"type\":\"common_types.QuantizationConfig\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"quantization_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wal_config\":{\"type\":\"common_types.WalConfigDiff\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wal_config\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"api_key\",\"display_name\":\"API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":64,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"content_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"page_content\",\"fileTypes\":[],\"password\":false,\"name\":\"content_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"distance_func\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"Cosine\",\"fileTypes\":[],\"password\":false,\"name\":\"distance_func\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"force_recreate\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"force_recreate\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6334,\"fileTypes\":[],\"password\":false,\"name\":\"grpc_port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"https\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"https\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"location\":{\"type\":\"str\",\"required\":false,\"placeholder\":\":memory:\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\":memory:\",\"fileTypes\":[],\"password\":false,\"name\":\"location\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata_payload_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"metadata\",\"fileTypes\":[],\"password\":false,\"name\":\"metadata_payload_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"on_disk_payload\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"on_disk_payload\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"path\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"path\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":6333,\"fileTypes\":[],\"password\":false,\"name\":\"port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefer_grpc\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"prefer_grpc\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"prefix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"fileTypes\":[],\"password\":false,\"name\":\"prefix\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"replication_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"replication_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"shard_number\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"shard_number\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"timeout\":{\"type\":\"float\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"rangeSpec\":{\"min\":-1.0,\"max\":1.0,\"step\":0.1}},\"url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"url\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"vector_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"vector_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"write_consistency_factor\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"write_consistency_factor\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Qdrant\"},\"description\":\"Construct Qdrant wrapper from a list of texts.\",\"base_classes\":[\"VectorStore\",\"Qdrant\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Qdrant\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SupabaseVectorStore\":{\"template\":{\"client\":{\"type\":\"supabase.client.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":500,\"fileTypes\":[],\"password\":false,\"name\":\"chunk_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"ids\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"query_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"supabase_service_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"supabase_service_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"supabase_url\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"supabase_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"table_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"table_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SupabaseVectorStore\"},\"description\":\"Return VectorStore initialized from texts and embeddings.\",\"base_classes\":[\"VectorStore\",\"SupabaseVectorStore\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Supabase\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Weaviate\":{\"template\":{\"client\":{\"type\":\"weaviate.Client\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"relevance_score_fn\":{\"type\":\"Callable[[float], float]\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"password\":false,\"name\":\"relevance_score_fn\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"batch_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"by_text\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"by_text\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"client_kwargs\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"client_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"index_name\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"index_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadatas\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"text_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"text\",\"fileTypes\":[],\"password\":true,\"name\":\"text_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"weaviate_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"weaviate_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"http://localhost:8080\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"http://localhost:8080\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"weaviate_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"Weaviate\"},\"description\":\"Construct Weaviate wrapper from raw documents.\",\"base_classes\":[\"VectorStore\",\"Weaviate\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Weaviate\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"Redis\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.redis import Redis\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass RedisComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using Redis.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Redis\\\"\\n description: str = \\\"Implementation of Vector Store using Redis\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/redis\\\"\\n beta = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"redis_server_url\\\": {\\n \\\"display_name\\\": \\\"Redis Server Connection String\\\",\\n \\\"advanced\\\": False,\\n },\\n \\\"redis_index_name\\\": {\\\"display_name\\\": \\\"Redis Index\\\", \\\"advanced\\\": False},\\n }\\n\\n def build(\\n self,\\n embedding: Embeddings,\\n redis_server_url: str,\\n redis_index_name: str,\\n documents: Optional[Document] = None,\\n ) -> VectorStore:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - embedding (Embeddings): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - redis_index_name (str): The name of the Redis index.\\n - redis_server_url (str): The URL for the Redis server.\\n\\n Returns:\\n - VectorStore: The Vector Store object.\\n \\\"\\\"\\\"\\n\\n return Redis.from_documents(\\n documents=documents, # type: ignore\\n embedding=embedding,\\n redis_url=redis_server_url,\\n index_name=redis_index_name,\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"redis_index_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_index_name\",\"display_name\":\"Redis Index\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"redis_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"redis_server_url\",\"display_name\":\"Redis Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Redis\",\"base_classes\":[\"VectorStore\"],\"display_name\":\"Redis\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/redis\",\"custom_fields\":{\"documents\":null,\"embedding\":null,\"redis_index_name\":null,\"redis_server_url\":null},\"output_types\":[\"Redis\"],\"field_formatters\":{},\"beta\":true},\"Chroma\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chroma_server_cors_allow_origins\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_grpc_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Server gRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_port\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_port\",\"display_name\":\"Server Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"chroma_server_ssl_enabled\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores import Chroma\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.schema import BaseRetriever\\nfrom langchain.embeddings.base import Embeddings\\nimport chromadb # type: ignore\\n\\n\\nclass ChromaComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using Chroma.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Chroma\\\"\\n description: str = \\\"Implementation of Vector Store using Chroma\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/chroma\\\"\\n beta: bool = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"collection_name\\\": {\\\"display_name\\\": \\\"Collection Name\\\", \\\"value\\\": \\\"langflow\\\"},\\n \\\"persist\\\": {\\\"display_name\\\": \\\"Persist\\\"},\\n \\\"persist_directory\\\": {\\\"display_name\\\": \\\"Persist Directory\\\"},\\n \\\"code\\\": {\\\"show\\\": False, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"chroma_server_cors_allow_origins\\\": {\\n \\\"display_name\\\": \\\"Server CORS Allow Origins\\\",\\n \\\"advanced\\\": True,\\n },\\n \\\"chroma_server_host\\\": {\\\"display_name\\\": \\\"Server Host\\\", \\\"advanced\\\": True},\\n \\\"chroma_server_port\\\": {\\\"display_name\\\": \\\"Server Port\\\", \\\"advanced\\\": True},\\n \\\"chroma_server_grpc_port\\\": {\\n \\\"display_name\\\": \\\"Server gRPC Port\\\",\\n \\\"advanced\\\": True,\\n },\\n \\\"chroma_server_ssl_enabled\\\": {\\n \\\"display_name\\\": \\\"Server SSL Enabled\\\",\\n \\\"advanced\\\": True,\\n },\\n }\\n\\n def build(\\n self,\\n collection_name: str,\\n persist: bool,\\n chroma_server_ssl_enabled: bool,\\n persist_directory: Optional[str] = None,\\n embedding: Optional[Embeddings] = None,\\n documents: Optional[Document] = None,\\n chroma_server_cors_allow_origins: Optional[str] = None,\\n chroma_server_host: Optional[str] = None,\\n chroma_server_port: Optional[int] = None,\\n chroma_server_grpc_port: Optional[int] = None,\\n ) -> Union[VectorStore, BaseRetriever]:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - collection_name (str): The name of the collection.\\n - persist_directory (Optional[str]): The directory to persist the Vector Store to.\\n - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\\n - persist (bool): Whether to persist the Vector Store or not.\\n - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\\n - chroma_server_host (Optional[str]): The host for the Chroma server.\\n - chroma_server_port (Optional[int]): The port for the Chroma server.\\n - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\\n\\n Returns:\\n - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\\n \\\"\\\"\\\"\\n\\n # Chroma settings\\n chroma_settings = None\\n\\n if chroma_server_host is not None:\\n chroma_settings = chromadb.config.Settings(\\n chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None,\\n chroma_server_host=chroma_server_host,\\n chroma_server_port=chroma_server_port or None,\\n chroma_server_grpc_port=chroma_server_grpc_port or None,\\n chroma_server_ssl_enabled=chroma_server_ssl_enabled,\\n )\\n\\n # If documents, then we need to create a Chroma instance using .from_documents\\n if documents is not None and embedding is not None:\\n return Chroma.from_documents(\\n documents=documents, # type: ignore\\n persist_directory=persist_directory if persist else None,\\n collection_name=collection_name,\\n embedding=embedding,\\n client_settings=chroma_settings,\\n )\\n\\n return Chroma(persist_directory=persist_directory, client_settings=chroma_settings)\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"langflow\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Collection Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist\":{\"type\":\"bool\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"persist_directory\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"persist_directory\",\"display_name\":\"Persist Directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Chroma\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Chroma\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/chroma\",\"custom_fields\":{\"chroma_server_cors_allow_origins\":null,\"chroma_server_grpc_port\":null,\"chroma_server_host\":null,\"chroma_server_port\":null,\"chroma_server_ssl_enabled\":null,\"collection_name\":null,\"documents\":null,\"embedding\":null,\"persist\":null,\"persist_directory\":null},\"output_types\":[\"Chroma\"],\"field_formatters\":{},\"beta\":true},\"pgvector\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"embedding\":{\"type\":\"Embeddings\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, List\\nfrom langflow import CustomComponent\\n\\nfrom langchain.vectorstores.pgvector import PGVector\\nfrom langchain.schema import Document\\nfrom langchain.vectorstores.base import VectorStore\\nfrom langchain.embeddings.base import Embeddings\\n\\n\\nclass PostgresqlVectorComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing a Vector Store using PostgreSQL.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"PGVector\\\"\\n description: str = \\\"Implementation of Vector Store using PostgreSQL\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\\\"\\n beta = True\\n\\n def build_config(self):\\n \\\"\\\"\\\"\\n Builds the configuration for the component.\\n\\n Returns:\\n - dict: A dictionary containing the configuration options for the component.\\n \\\"\\\"\\\"\\n return {\\n \\\"index_name\\\": {\\\"display_name\\\": \\\"Index Name\\\", \\\"value\\\": \\\"your_index\\\"},\\n \\\"code\\\": {\\\"show\\\": True, \\\"display_name\\\": \\\"Code\\\"},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\", \\\"is_list\\\": True},\\n \\\"embedding\\\": {\\\"display_name\\\": \\\"Embedding\\\"},\\n \\\"pg_server_url\\\": {\\n \\\"display_name\\\": \\\"PostgreSQL Server Connection String\\\",\\n \\\"advanced\\\": False,\\n },\\n \\\"collection_name\\\": {\\\"display_name\\\": \\\"Table\\\", \\\"advanced\\\": False},\\n }\\n\\n def build(\\n self,\\n embedding: Embeddings,\\n pg_server_url: str,\\n collection_name: str,\\n documents: Optional[List[Document]] = None,\\n ) -> VectorStore:\\n \\\"\\\"\\\"\\n Builds the Vector Store or BaseRetriever object.\\n\\n Args:\\n - embedding (Embeddings): The embeddings to use for the Vector Store.\\n - documents (Optional[Document]): The documents to use for the Vector Store.\\n - collection_name (str): The name of the PG table.\\n - pg_server_url (str): The URL for the PG server.\\n\\n Returns:\\n - VectorStore: The Vector Store object.\\n \\\"\\\"\\\"\\n\\n try:\\n if documents is None:\\n return PGVector.from_existing_index(\\n embedding=embedding,\\n collection_name=collection_name,\\n connection_string=pg_server_url,\\n )\\n\\n return PGVector.from_documents(\\n embedding=embedding,\\n documents=documents,\\n collection_name=collection_name,\\n connection_string=pg_server_url,\\n )\\n except Exception as e:\\n raise RuntimeError(f\\\"Failed to build PGVector: {e}\\\")\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"collection_name\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"collection_name\",\"display_name\":\"Table\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"pg_server_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"pg_server_url\",\"display_name\":\"PostgreSQL Server Connection String\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using PostgreSQL\",\"base_classes\":[],\"display_name\":\"PGVector\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/pgvector\",\"custom_fields\":{\"collection_name\":null,\"documents\":null,\"embedding\":null,\"pg_server_url\":null},\"output_types\":[\"pgvector\"],\"field_formatters\":{},\"beta\":true},\"Vectara\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional, Union\\n\\nfrom langchain.schema import BaseRetriever, Document\\nfrom langchain.vectorstores import Vectara\\nfrom langchain.vectorstores.base import VectorStore\\n\\nfrom langflow import CustomComponent\\n\\n\\nclass VectaraComponent(CustomComponent):\\n display_name: str = \\\"Vectara\\\"\\n description: str = \\\"Implementation of Vector Store using Vectara\\\"\\n documentation = \\\"https://python.langchain.com/docs/integrations/vectorstores/vectara\\\"\\n beta = True\\n # api key should be password = True\\n field_config = {\\n \\\"vectara_customer_id\\\": {\\\"display_name\\\": \\\"Vectara Customer ID\\\"},\\n \\\"vectara_corpus_id\\\": {\\\"display_name\\\": \\\"Vectara Corpus ID\\\"},\\n \\\"vectara_api_key\\\": {\\\"display_name\\\": \\\"Vectara API Key\\\", \\\"password\\\": True},\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"documents\\\": {\\\"display_name\\\": \\\"Documents\\\"},\\n }\\n\\n def build(\\n self,\\n vectara_customer_id: str,\\n vectara_corpus_id: str,\\n vectara_api_key: str,\\n documents: Optional[Document] = None,\\n ) -> Union[VectorStore, BaseRetriever]:\\n # If documents, then we need to create a Vectara instance using .from_documents\\n if documents is not None:\\n return Vectara.from_documents(\\n documents=documents, # type: ignore\\n vectara_customer_id=vectara_customer_id,\\n vectara_corpus_id=vectara_corpus_id,\\n vectara_api_key=vectara_api_key,\\n source=\\\"langflow\\\",\\n )\\n\\n return Vectara(\\n vectara_customer_id=vectara_customer_id,\\n vectara_corpus_id=vectara_corpus_id,\\n vectara_api_key=vectara_api_key,\\n source=\\\"langflow\\\",\\n )\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"vectara_api_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"vectara_api_key\",\"display_name\":\"Vectara API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_corpus_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_corpus_id\",\"display_name\":\"Vectara Corpus ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"vectara_customer_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"vectara_customer_id\",\"display_name\":\"Vectara Customer ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Implementation of Vector Store using Vectara\",\"base_classes\":[\"VectorStore\",\"BaseRetriever\"],\"display_name\":\"Vectara\",\"documentation\":\"https://python.langchain.com/docs/integrations/vectorstores/vectara\",\"custom_fields\":{\"documents\":null,\"vectara_api_key\":null,\"vectara_corpus_id\":null,\"vectara_customer_id\":null},\"output_types\":[\"Vectara\"],\"field_formatters\":{},\"beta\":true}},\"documentloaders\":{\"AZLyricsLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AZLyricsLoader\"},\"description\":\"Load `AZLyrics` webpages.\",\"base_classes\":[\"Document\"],\"display_name\":\"AZLyricsLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"AirbyteJSONLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".json\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"BSHTMLLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".html\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BSHTMLLoader\"},\"description\":\"Load `HTML` files and parse them with `beautiful soup`.\",\"base_classes\":[\"Document\"],\"display_name\":\"BSHTMLLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CSVLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"CoNLLULoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".csv\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CoNLLULoader\"},\"description\":\"Load `CoNLL-U` 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`Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredMarkdownLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredPowerPointLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".pptx\",\".ppt\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredPowerPointLoader\"},\"description\":\"Load `Microsoft PowerPoint` files using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredPowerPointLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"UnstructuredWordDocumentLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[\".docx\",\".doc\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"UnstructuredWordDocumentLoader\"},\"description\":\"Load `Microsoft Word` file using `Unstructured`.\",\"base_classes\":[\"Document\"],\"display_name\":\"UnstructuredWordDocumentLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"WebBaseLoader\":{\"template\":{\"metadata\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":{},\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Web Page\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WebBaseLoader\"},\"description\":\"Load HTML pages using `urllib` and parse them with `BeautifulSoup'.\",\"base_classes\":[\"Document\"],\"display_name\":\"WebBaseLoader\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"FileLoader\":{\"template\":{\"file_path\":{\"type\":\"file\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[\"json\",\"txt\",\"csv\",\"jsonl\",\"html\",\"htm\",\"conllu\",\"enex\",\"msg\",\"pdf\",\"srt\",\"eml\",\"md\",\"pptx\",\"docx\"],\"file_path\":\"\",\"password\":false,\"name\":\"file_path\",\"display_name\":\"File Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langchain.schema import Document\\n\\nfrom langflow import CustomComponent\\nfrom langflow.utils.constants import LOADERS_INFO\\n\\n\\nclass FileLoaderComponent(CustomComponent):\\n display_name: str = \\\"File Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [loader_info[\\\"name\\\"] for loader_info in LOADERS_INFO]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in 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 \\\"file_path\\\": {\\n \\\"display_name\\\": \\\"File Path\\\",\\n \\\"required\\\": True,\\n \\\"field_type\\\": \\\"file\\\",\\n \\\"file_types\\\": [\\n \\\"json\\\",\\n \\\"txt\\\",\\n \\\"csv\\\",\\n \\\"jsonl\\\",\\n \\\"html\\\",\\n \\\"htm\\\",\\n \\\"conllu\\\",\\n \\\"enex\\\",\\n \\\"msg\\\",\\n \\\"pdf\\\",\\n \\\"srt\\\",\\n \\\"eml\\\",\\n \\\"md\\\",\\n \\\"pptx\\\",\\n \\\"docx\\\",\\n ],\\n \\\"suffixes\\\": [\\n \\\".json\\\",\\n \\\".txt\\\",\\n \\\".csv\\\",\\n \\\".jsonl\\\",\\n \\\".html\\\",\\n \\\".htm\\\",\\n \\\".conllu\\\",\\n \\\".enex\\\",\\n \\\".msg\\\",\\n \\\".pdf\\\",\\n \\\".srt\\\",\\n \\\".eml\\\",\\n \\\".md\\\",\\n \\\".pptx\\\",\\n \\\".docx\\\",\\n ],\\n # \\\"file_types\\\" : file_types,\\n # \\\"suffixes\\\": suffixes,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, file_path: str, loader: str) -> Document:\\n file_type = file_path.split(\\\".\\\")[-1]\\n\\n # Mapeie o nome do loader selecionado para suas informações\\n selected_loader_info = None\\n for loader_info in LOADERS_INFO:\\n if loader_info[\\\"name\\\"] == loader:\\n selected_loader_info = loader_info\\n break\\n\\n if selected_loader_info is None and loader != \\\"Automatic\\\":\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n if loader == \\\"Automatic\\\":\\n # Determine o loader automaticamente com base na extensão do arquivo\\n default_loader_info = None\\n for info in LOADERS_INFO:\\n if \\\"defaultFor\\\" in info and file_type in info[\\\"defaultFor\\\"]:\\n default_loader_info = info\\n break\\n\\n if default_loader_info is None:\\n raise ValueError(f\\\"No default loader found for file type: {file_type}\\\")\\n\\n selected_loader_info = default_loader_info\\n if isinstance(selected_loader_info, dict):\\n loader_import: str = selected_loader_info[\\\"import\\\"]\\n else:\\n raise ValueError(f\\\"Loader info for {loader} is not a dict\\\\nLoader info:\\\\n{selected_loader_info}\\\")\\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(f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{selected_loader_info}\\\") from e\\n\\n result = loader_instance(file_path=file_path)\\n return result.load()\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"fileTypes\":[],\"file_path\":\"\",\"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\":\"CustomComponent\"},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"File Loader\",\"documentation\":\"\",\"custom_fields\":{\"file_path\":null,\"loader\":null},\"output_types\":[\"FileLoader\"],\"field_formatters\":{},\"beta\":true},\"UrlLoader\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List\\n\\nfrom langchain import document_loaders\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\n\\n\\nclass UrlLoaderComponent(CustomComponent):\\n display_name: str = \\\"Url Loader\\\"\\n description: str = \\\"Generic Url Loader Component\\\"\\n\\n def build_config(self):\\n return {\\n \\\"web_path\\\": {\\n \\\"display_name\\\": \\\"Url\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": [\\n \\\"AZLyricsLoader\\\",\\n \\\"CollegeConfidentialLoader\\\",\\n \\\"GitbookLoader\\\",\\n \\\"HNLoader\\\",\\n \\\"IFixitLoader\\\",\\n \\\"IMSDbLoader\\\",\\n \\\"WebBaseLoader\\\",\\n ],\\n \\\"value\\\": \\\"WebBaseLoader\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, web_path: str, loader: str) -> List[Document]:\\n try:\\n loader_instance = getattr(document_loaders, loader)(web_path=web_path)\\n except Exception as e:\\n raise ValueError(f\\\"No loader found for: {web_path}\\\") from e\\n docs = loader_instance.load()\\n avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, \\\"page_content\\\")) / len(docs)\\n self.status = f\\\"\\\"\\\"{len(docs)} documents)\\n \\\\nAvg. Document Length (characters): {int(avg_length)}\\n Documents: {docs[:3]}...\\\"\\\"\\\"\\n return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"loader\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"WebBaseLoader\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"AZLyricsLoader\",\"CollegeConfidentialLoader\",\"GitbookLoader\",\"HNLoader\",\"IFixitLoader\",\"IMSDbLoader\",\"WebBaseLoader\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"web_path\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"web_path\",\"display_name\":\"Url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Generic Url Loader Component\",\"base_classes\":[\"Document\"],\"display_name\":\"Url Loader\",\"documentation\":\"\",\"custom_fields\":{\"loader\":null,\"web_path\":null},\"output_types\":[\"UrlLoader\"],\"field_formatters\":{},\"beta\":true}},\"textsplitters\":{\"CharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"chunk_size\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"separator\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"\\\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"separator\",\"display_name\":\"Separator\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CharacterTextSplitter\"},\"description\":\"Splitting text that looks at characters.\",\"base_classes\":[\"Document\"],\"display_name\":\"CharacterTextSplitter\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"field_formatters\":{},\"beta\":false},\"LanguageRecursiveTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.text_splitter import Language\\nfrom langchain.schema import Document\\n\\n\\nclass LanguageRecursiveTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Language Recursive Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length based on language.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\\\"\\n\\n def build_config(self):\\n options = [x.value for x in Language]\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separator_type\\\": {\\n \\\"display_name\\\": \\\"Separator Type\\\",\\n \\\"info\\\": \\\"The type of separator to use.\\\",\\n \\\"field_type\\\": \\\"str\\\",\\n \\\"options\\\": options,\\n \\\"value\\\": \\\"Python\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": \\\"The characters to split on.\\\",\\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 chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n separator_type: Optional[str] = \\\"Python\\\",\\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 # 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\\n splitter = RecursiveCharacterTextSplitter.from_language(\\n language=Language(separator_type),\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n return docs\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separator_type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":\"Python\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"cpp\",\"go\",\"java\",\"kotlin\",\"js\",\"ts\",\"php\",\"proto\",\"python\",\"rst\",\"ruby\",\"rust\",\"scala\",\"swift\",\"markdown\",\"latex\",\"html\",\"sol\",\"csharp\",\"cobol\"],\"name\":\"separator_type\",\"display_name\":\"Separator Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"The type of separator to use.\"},\"_type\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length based on language.\",\"base_classes\":[\"Document\"],\"display_name\":\"Language Recursive Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#languagerecursivetextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separator_type\":null},\"output_types\":[\"LanguageRecursiveTextSplitter\"],\"field_formatters\":{},\"beta\":true},\"RecursiveCharacterTextSplitter\":{\"template\":{\"documents\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\"},\"chunk_overlap\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":200,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\"},\"chunk_size\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":1000,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"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\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"separators\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"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\":\"CustomComponent\"},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"field_formatters\":{},\"beta\":true}},\"utilities\":{\"BingSearchAPIWrapper\":{\"template\":{\"bing_search_url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"bing_search_url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"bing_subscription_key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"bing_subscription_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_kwargs\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\"},\"_type\":\"BingSearchAPIWrapper\"},\"description\":\"Wrapper for Bing Search API.\",\"base_classes\":[\"BingSearchAPIWrapper\"],\"display_name\":\"BingSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSearchAPIWrapper\":{\"template\":{\"google_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"google_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"google_cse_id\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"google_cse_id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"siterestrict\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"siterestrict\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSearchAPIWrapper\"},\"description\":\"Wrapper for Google Search API.\",\"base_classes\":[\"GoogleSearchAPIWrapper\"],\"display_name\":\"GoogleSearchAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GoogleSerperAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"gl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"us\",\"fileTypes\":[],\"password\":false,\"name\":\"gl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"hl\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"hl\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"result_key_for_type\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"{\\n \\\"news\\\": \\\"news\\\",\\n \\\"places\\\": \\\"places\\\",\\n \\\"images\\\": \\\"images\\\",\\n \\\"search\\\": \\\"organic\\\"\\n}\",\"fileTypes\":[],\"password\":true,\"name\":\"result_key_for_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serper_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serper_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"tbs\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"tbs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"type\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"search\",\"fileTypes\":[],\"password\":false,\"name\":\"type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"GoogleSerperAPIWrapper\"},\"description\":\"Wrapper around the Serper.dev Google Search API.\",\"base_classes\":[\"GoogleSerperAPIWrapper\"],\"display_name\":\"GoogleSerperAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SearxSearchWrapper\":{\"template\":{\"aiosession\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"categories\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"categories\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"engines\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":true,\"show\":false,\"multiline\":false,\"value\":[],\"fileTypes\":[],\"password\":false,\"name\":\"engines\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"password\":false,\"name\":\"headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"k\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":10,\"fileTypes\":[],\"password\":false,\"name\":\"k\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"query_suffix\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"query_suffix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"searx_host\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"\",\"fileTypes\":[],\"password\":false,\"name\":\"searx_host\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"unsecure\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"unsecure\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SearxSearchWrapper\"},\"description\":\"Wrapper for Searx API.\",\"base_classes\":[\"SearxSearchWrapper\"],\"display_name\":\"SearxSearchWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"SerpAPIWrapper\":{\"template\":{\"aiosession\":{\"type\":\"ClientSession\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"aiosession\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"{\\n \\\"engine\\\": \\\"google\\\",\\n \\\"google_domain\\\": \\\"google.com\\\",\\n \\\"gl\\\": \\\"us\\\",\\n \\\"hl\\\": \\\"en\\\"\\n}\",\"fileTypes\":[],\"password\":false,\"name\":\"params\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"search_engine\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"search_engine\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"serpapi_api_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":true,\"name\":\"serpapi_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"SerpAPIWrapper\"},\"description\":\"Wrapper around SerpAPI.\",\"base_classes\":[\"SerpAPIWrapper\"],\"display_name\":\"SerpAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WikipediaAPIWrapper\":{\"template\":{\"doc_content_chars_max\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":4000,\"fileTypes\":[],\"password\":false,\"name\":\"doc_content_chars_max\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"lang\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":\"en\",\"fileTypes\":[],\"password\":false,\"name\":\"lang\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"load_all_available_meta\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"load_all_available_meta\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"top_k_results\":{\"type\":\"int\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"value\":3,\"fileTypes\":[],\"password\":false,\"name\":\"top_k_results\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wiki_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wiki_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WikipediaAPIWrapper\"},\"description\":\"Wrapper around WikipediaAPI.\",\"base_classes\":[\"WikipediaAPIWrapper\"],\"display_name\":\"WikipediaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"WolframAlphaAPIWrapper\":{\"template\":{\"wolfram_alpha_appid\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_alpha_appid\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"wolfram_client\":{\"type\":\"Any\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"wolfram_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"WolframAlphaAPIWrapper\"},\"description\":\"Wrapper for Wolfram Alpha.\",\"base_classes\":[\"WolframAlphaAPIWrapper\"],\"display_name\":\"WolframAlphaAPIWrapper\",\"documentation\":\"\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"GetRequest\":{\"template\":{\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass GetRequest(CustomComponent):\\n display_name: str = \\\"GET Request\\\"\\n description: str = \\\"Make a GET request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#get-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\n \\\"display_name\\\": \\\"URL\\\",\\n \\\"info\\\": \\\"The URL to make the request to\\\",\\n \\\"is_list\\\": True,\\n },\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"timeout\\\": {\\n \\\"display_name\\\": \\\"Timeout\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"info\\\": \\\"The timeout to use for the request.\\\",\\n \\\"value\\\": 5,\\n },\\n }\\n\\n def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document:\\n try:\\n response = session.get(url, headers=headers, timeout=int(timeout))\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response.status_code,\\n },\\n )\\n except requests.Timeout:\\n return Document(\\n page_content=\\\"Request Timed Out\\\",\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 408},\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n )\\n\\n def build(\\n self,\\n url: str,\\n headers: Optional[dict] = None,\\n timeout: int = 5,\\n ) -> list[Document]:\\n if headers is None:\\n headers = {}\\n urls = url if isinstance(url, list) else [url]\\n with requests.Session() as session:\\n documents = [self.get_document(session, u, headers, timeout) for u in urls]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"timeout\":{\"type\":\"int\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":5,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"timeout\",\"display_name\":\"Timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"The timeout to use for the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a GET request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"GET Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#get-request\",\"custom_fields\":{\"headers\":null,\"timeout\":null,\"url\":null},\"output_types\":[\"GetRequest\"],\"field_formatters\":{},\"beta\":true},\"JSONDocumentBuilder\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"### JSON Document Builder\\n\\n# Build a Document containing a JSON object using a key and another Document page content.\\n\\n# **Params**\\n\\n# - **Key:** The key to use for the JSON object.\\n# - **Document:** The Document page to use for the JSON object.\\n\\n# **Output**\\n\\n# - **Document:** The Document containing the JSON object.\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass JSONDocumentBuilder(CustomComponent):\\n display_name: str = \\\"JSON Document Builder\\\"\\n description: str = \\\"Build a Document containing a JSON object using a key and another Document page content.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n beta = True\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#json-document-builder\\\"\\n\\n field_config = {\\n \\\"key\\\": {\\\"display_name\\\": \\\"Key\\\"},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n }\\n\\n def build(\\n self,\\n key: str,\\n document: Document,\\n ) -> Document:\\n documents = None\\n if isinstance(document, list):\\n documents = [\\n Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document\\n ]\\n elif isinstance(document, Document):\\n documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False))\\n else:\\n raise TypeError(f\\\"Expected Document or list of Documents, got {type(document)}\\\")\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"key\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":true,\"name\":\"key\",\"display_name\":\"Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Build a Document containing a JSON object using a key and another Document page content.\",\"base_classes\":[\"Document\"],\"display_name\":\"JSON Document Builder\",\"documentation\":\"https://docs.langflow.org/components/utilities#json-document-builder\",\"custom_fields\":{\"document\":null,\"key\":null},\"output_types\":[\"JSONDocumentBuilder\"],\"field_formatters\":{},\"beta\":true},\"UpdateRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import List, Optional\\nimport requests\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\n\\n\\nclass UpdateRequest(CustomComponent):\\n display_name: str = \\\"Update Request\\\"\\n description: str = \\\"Make a PATCH request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#update-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"field_type\\\": \\\"NestedDict\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n \\\"method\\\": {\\n \\\"display_name\\\": \\\"Method\\\",\\n \\\"field_type\\\": \\\"str\\\",\\n \\\"info\\\": \\\"The HTTP method to use.\\\",\\n \\\"options\\\": [\\\"PATCH\\\", \\\"PUT\\\"],\\n \\\"value\\\": \\\"PATCH\\\",\\n },\\n }\\n\\n def update_document(\\n self,\\n session: requests.Session,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n method: str = \\\"PATCH\\\",\\n ) -> Document:\\n try:\\n if method == \\\"PATCH\\\":\\n response = session.patch(url, headers=headers, data=document.page_content)\\n elif method == \\\"PUT\\\":\\n response = session.put(url, headers=headers, data=document.page_content)\\n else:\\n raise ValueError(f\\\"Unsupported method: {method}\\\")\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response.status_code,\\n },\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\\"source\\\": url, \\\"headers\\\": headers, \\\"status_code\\\": 500},\\n )\\n\\n def build(\\n self,\\n method: str,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> List[Document]:\\n if headers is None:\\n headers = {}\\n\\n if not isinstance(document, list) and isinstance(document, Document):\\n documents: list[Document] = [document]\\n elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n documents = document\\n else:\\n raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n with requests.Session() as session:\\n documents = [self.update_document(session, doc, url, headers, method) for doc in documents]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"NestedDict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"method\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":true,\"show\":true,\"multiline\":false,\"value\":\"PATCH\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"options\":[\"PATCH\",\"PUT\"],\"name\":\"method\",\"display_name\":\"Method\",\"advanced\":false,\"dynamic\":false,\"info\":\"The HTTP method to use.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a PATCH request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"Update Request\",\"documentation\":\"https://docs.langflow.org/components/utilities#update-request\",\"custom_fields\":{\"document\":null,\"headers\":null,\"method\":null,\"url\":null},\"output_types\":[\"UpdateRequest\"],\"field_formatters\":{},\"beta\":true},\"PostRequest\":{\"template\":{\"document\":{\"type\":\"Document\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"document\",\"display_name\":\"Document\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.services.database.models.base import orjson_dumps\\nimport requests\\nfrom typing import Optional\\n\\n\\nclass PostRequest(CustomComponent):\\n display_name: str = \\\"POST Request\\\"\\n description: str = \\\"Make a POST request to the given URL.\\\"\\n output_types: list[str] = [\\\"Document\\\"]\\n documentation: str = \\\"https://docs.langflow.org/components/utilities#post-request\\\"\\n beta: bool = True\\n field_config = {\\n \\\"url\\\": {\\\"display_name\\\": \\\"URL\\\", \\\"info\\\": \\\"The URL to make the request to.\\\"},\\n \\\"headers\\\": {\\n \\\"display_name\\\": \\\"Headers\\\",\\n \\\"info\\\": \\\"The headers to send with the request.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n \\\"document\\\": {\\\"display_name\\\": \\\"Document\\\"},\\n }\\n\\n def post_document(\\n self,\\n session: requests.Session,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> Document:\\n try:\\n response = session.post(url, headers=headers, data=document.page_content)\\n try:\\n response_json = response.json()\\n result = orjson_dumps(response_json, indent_2=False)\\n except Exception:\\n result = response.text\\n self.repr_value = result\\n return Document(\\n page_content=result,\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": response,\\n },\\n )\\n except Exception as exc:\\n return Document(\\n page_content=str(exc),\\n metadata={\\n \\\"source\\\": url,\\n \\\"headers\\\": headers,\\n \\\"status_code\\\": 500,\\n },\\n )\\n\\n def build(\\n self,\\n document: Document,\\n url: str,\\n headers: Optional[dict] = None,\\n ) -> list[Document]:\\n if headers is None:\\n headers = {}\\n\\n if not isinstance(document, list) and isinstance(document, Document):\\n documents: list[Document] = [document]\\n elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document):\\n documents = document\\n else:\\n raise ValueError(\\\"document must be a Document or a list of Documents\\\")\\n\\n with requests.Session() as session:\\n documents = [self.post_document(session, doc, url, headers) for doc in documents]\\n self.repr_value = documents\\n return documents\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"headers\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer <token>\\\"}\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"headers\",\"display_name\":\"Headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"The headers to send with the request.\"},\"url\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"The URL to make the request to.\"},\"_type\":\"CustomComponent\"},\"description\":\"Make a POST request to the given URL.\",\"base_classes\":[\"Document\"],\"display_name\":\"POST 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Original question: {question}\",\"template_format\":\"f-string\",\"validate_template\":false},\"fileTypes\":[],\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"retriever\":{\"type\":\"BaseRetriever\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"include_original\":{\"type\":\"bool\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":false,\"fileTypes\":[],\"password\":false,\"name\":\"include_original\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"parser_key\":{\"type\":\"str\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"value\":\"lines\",\"fileTypes\":[],\"password\":false,\"name\":\"parser_key\",\"display_name\":\"Parser Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"MultiQueryRetriever\"},\"description\":\"Initialize from llm using default template.\",\"base_classes\":[\"MultiQueryRetriever\",\"BaseRetriever\"],\"display_name\":\"MultiQueryRetriever\",\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/retrievers/how_to/MultiQueryRetriever\",\"custom_fields\":{},\"output_types\":[],\"field_formatters\":{},\"beta\":false},\"AmazonKendra\":{\"template\":{\"attribute_filter\":{\"type\":\"code\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"attribute_filter\",\"display_name\":\"Attribute Filter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.retrievers import AmazonKendraRetriever\\nfrom langchain.schema import BaseRetriever\\n\\n\\nclass AmazonKendraRetrieverComponent(CustomComponent):\\n display_name: str = \\\"Amazon Kendra Retriever\\\"\\n description: str = \\\"Retriever that uses the Amazon Kendra API.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"Region Name\\\"},\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"attribute_filter\\\": {\\n \\\"display_name\\\": \\\"Attribute Filter\\\",\\n \\\"field_type\\\": \\\"code\\\",\\n },\\n \\\"top_k\\\": {\\\"display_name\\\": \\\"Top K\\\", \\\"field_type\\\": \\\"int\\\"},\\n \\\"user_context\\\": {\\n \\\"display_name\\\": \\\"User Context\\\",\\n \\\"field_type\\\": \\\"code\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n index_id: str,\\n top_k: int = 3,\\n region_name: Optional[str] = None,\\n credentials_profile_name: Optional[str] = None,\\n attribute_filter: Optional[dict] = None,\\n user_context: Optional[dict] = None,\\n ) -> BaseRetriever:\\n try:\\n output = AmazonKendraRetriever(\\n index_id=index_id,\\n top_k=top_k,\\n region_name=region_name,\\n credentials_profile_name=credentials_profile_name,\\n attribute_filter=attribute_filter,\\n user_context=user_context,\\n ) # 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type: ignore\\n\\n\\nclass MetalRetrieverComponent(CustomComponent):\\n display_name: str = \\\"Metal Retriever\\\"\\n description: str = \\\"Retriever that uses the Metal API.\\\"\\n\\n def build_config(self):\\n return {\\n \\\"api_key\\\": {\\\"display_name\\\": \\\"API Key\\\", \\\"password\\\": True},\\n \\\"client_id\\\": {\\\"display_name\\\": \\\"Client ID\\\", \\\"password\\\": True},\\n \\\"index_id\\\": {\\\"display_name\\\": \\\"Index ID\\\"},\\n \\\"params\\\": {\\\"display_name\\\": \\\"Parameters\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever:\\n try:\\n metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id)\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to Metal API.\\\") from e\\n return MetalRetriever(client=metal, params=params or {})\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"index_id\":{\"type\":\"str\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"index_id\",\"display_name\":\"Index ID\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"params\":{\"type\":\"dict\",\"required\":false,\"placeholder\":\"\",\"list\":false,\"show\":false,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"params\",\"display_name\":\"Parameters\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"description\":\"Retriever that uses the Metal API.\",\"base_classes\":[\"BaseRetriever\"],\"display_name\":\"Metal Retriever\",\"documentation\":\"\",\"custom_fields\":{\"api_key\":null,\"client_id\":null,\"index_id\":null,\"params\":null},\"output_types\":[\"MetalRetriever\"],\"field_formatters\":{},\"beta\":true}},\"custom_components\":{\"CustomComponent\":{\"template\":{\"param\":{\"type\":\"Data\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":false,\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\"},\"code\":{\"type\":\"code\",\"required\":true,\"placeholder\":\"\",\"list\":false,\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\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: Data) -> Data:\\n return param\\n\",\"fileTypes\":[],\"file_path\":\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"dynamic\":true,\"info\":\"\"},\"_type\":\"CustomComponent\"},\"base_classes\":[\"Data\"],\"display_name\":\"CustomComponent\",\"documentation\":\"http://docs.langflow.org/components/custom\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"field_formatters\":{},\"beta\":true}}}"
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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 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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 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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\":\"\",\"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 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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 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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 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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,\"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. 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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 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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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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 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{\\\"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\",\"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 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 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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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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 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(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 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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 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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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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 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 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