{ "data": { "edges": [ { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-i5Z2Y", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "CONTENT_GUIDELINES", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-i5Z2Y{œdataTypeœ:œTextInputœ,œidœ:œTextInput-i5Z2Yœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œCONTENT_GUIDELINESœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-i5Z2Y", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-i5Z2Yœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œCONTENT_GUIDELINESœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-OAt8o", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "OUTPUT_FORMAT", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-OAt8o{œdataTypeœ:œTextInputœ,œidœ:œTextInput-OAt8oœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œOUTPUT_FORMATœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-OAt8o", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-OAt8oœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œOUTPUT_FORMATœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-58oH9", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "OUTPUT_LANGUAGE", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-58oH9{œdataTypeœ:œTextInputœ,œidœ:œTextInput-58oH9œ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œOUTPUT_LANGUAGEœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-58oH9", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-58oH9œ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œOUTPUT_LANGUAGEœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-3nKXg", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "PROFILE_DETAILS", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-3nKXg{œdataTypeœ:œTextInputœ,œidœ:œTextInput-3nKXgœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œPROFILE_DETAILSœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-3nKXg", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-3nKXgœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œPROFILE_DETAILSœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-MlxGC", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "PROFILE_TYPE", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-MlxGC{œdataTypeœ:œTextInputœ,œidœ:œTextInput-MlxGCœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œPROFILE_TYPEœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-MlxGC", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-MlxGCœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œPROFILE_TYPEœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TextInput", "id": "TextInput-rIJMY", "name": "text", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "TONE_AND_STYLE", "id": "Prompt-JXzxV", "inputTypes": [ "Message" ], "type": "str" } }, "id": "reactflow__edge-TextInput-rIJMY{œdataTypeœ:œTextInputœ,œidœ:œTextInput-rIJMYœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-JXzxV{œfieldNameœ:œTONE_AND_STYLEœ,œidœ:œPrompt-JXzxVœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TextInput-rIJMY", "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-rIJMYœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", "target": "Prompt-JXzxV", "targetHandle": "{œfieldNameœ: œTONE_AND_STYLEœ, œidœ: œPrompt-JXzxVœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "data": { "sourceHandle": { "dataType": "Prompt", "id": "Prompt-JXzxV", "name": "prompt", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "system_message", "id": "LanguageModelComponent-URKKz", "inputTypes": [ "Message" ], "type": "str" } }, "id": "xy-edge__Prompt-JXzxV{œdataTypeœ:œPromptœ,œidœ:œPrompt-JXzxVœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-LanguageModelComponent-URKKz{œfieldNameœ:œsystem_messageœ,œidœ:œLanguageModelComponent-URKKzœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "Prompt-JXzxV", "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-JXzxVœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}", "target": "LanguageModelComponent-URKKz", "targetHandle": "{œfieldNameœ: œsystem_messageœ, œidœ: œLanguageModelComponent-URKKzœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "data": { "sourceHandle": { "dataType": "ChatInput", "id": "ChatInput-JpNZb", "name": "message", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "input_value", "id": "LanguageModelComponent-URKKz", "inputTypes": [ "Message" ], "type": "str" } }, "id": "xy-edge__ChatInput-JpNZb{œdataTypeœ:œChatInputœ,œidœ:œChatInput-JpNZbœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-LanguageModelComponent-URKKz{œfieldNameœ:œinput_valueœ,œidœ:œLanguageModelComponent-URKKzœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "ChatInput-JpNZb", "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-JpNZbœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}", "target": "LanguageModelComponent-URKKz", "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œLanguageModelComponent-URKKzœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" }, { "animated": false, "data": { "sourceHandle": { "dataType": "LanguageModelComponent", "id": "LanguageModelComponent-URKKz", "name": "text_output", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-GgTGu", "inputTypes": [ "Data", "DataFrame", "Message" ], "type": "other" } }, "id": "xy-edge__LanguageModelComponent-URKKz{œdataTypeœ:œLanguageModelComponentœ,œidœ:œLanguageModelComponent-URKKzœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-GgTGu{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-GgTGuœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", "selected": false, "source": "LanguageModelComponent-URKKz", "sourceHandle": "{œdataTypeœ: œLanguageModelComponentœ, œidœ: œLanguageModelComponent-URKKzœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}", "target": "ChatOutput-GgTGu", "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-GgTGuœ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œotherœ}" } ], "nodes": [ { "data": { "id": "ChatInput-JpNZb", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "documentation": "", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "files", "background_color", "chat_icon", "text_color" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "metadata": {}, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Chat Message", "group_outputs": false, "method": "message_response", "name": "message", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs.inputs import BoolInput\nfrom langflow.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n documentation: str = \"https://docs.langflow.org/components-io#chat-input\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Input Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n temp_file=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Chat Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n # Ensure files is a list and filter out empty/None values\n files = self.files if self.files else []\n if files and not isinstance(files, list):\n files = [files]\n files = [f for f in files if f is not None and f != \"\"]\n\n message = await Message.create(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "_input_type": "FileInput", "advanced": true, "display_name": "Files", "dynamic": false, "fileTypes": [ "csv", "json", "pdf", "txt", "md", "mdx", "yaml", "yml", "xml", "html", "htm", "docx", "py", "sh", "sql", "js", "ts", "tsx", "jpg", "jpeg", "png", "bmp", "image" ], "file_path": "", "info": "Files to be sent with the message.", "list": true, "list_add_label": "Add More", "name": "files", "placeholder": "", "required": false, "show": true, "temp_file": true, "title_case": false, "trace_as_metadata": true, "type": "file", "value": "" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "copy_field": false, "display_name": "Input Text", "dynamic": false, "info": "Message to be passed as input.", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "*Objective:* Create an engaging Twitter thread that narrates the innovative journey of our LangFlow project, highlighting how we created a specialized flow for generating dynamic prompts for other flows, culminating in a model specialized in writing tweets/threads. *Project Stages:* 1. *Development in LangFlow:* - Created a flow focused on generating dynamic prompts - System serves as foundation for optimizing prompt generation in other flows 2. *Template Creation:* - Developed specific templates for tweets/threads - Focus on engagement and message clarity 3. *Results:* - 60% reduction in content creation time - Greater message consistency - Better social media engagement - Fully automated process *Thread Objectives:* - Educate about LangFlow's capabilities in content creation - Demonstrate the development process step by step - Inspire other developers to explore LangFlow - Strengthen the developer community" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "type": "str", "value": "User" }, "sender_name": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "User" }, "session_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "list_add_label": "Add More", "name": "should_store_message", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "bool", "value": true } }, "tool_mode": false }, "type": "ChatInput" }, "dragging": false, "height": 234, "id": "ChatInput-JpNZb", "measured": { "height": 234, "width": 320 }, "position": { "x": 863.3241377184722, "y": 1053.9324095084933 }, "positionAbsolute": { "x": 863.3241377184722, "y": 1053.9324095084933 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-i5Z2Y", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Content Guidelines", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "- Thread must be 5-7 tweets long - Each tweet should be self-contained but flow naturally to the next - Include relevant technical details while keeping language accessible - Use emojis sparingly but effectively - Include a clear call-to-action in the final tweet - Highlight key benefits and innovative aspects - Maintain professional but engaging tone" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-i5Z2Y", "measured": { "height": 234, "width": 320 }, "position": { "x": 1300.291760633212, "y": 417.7819626108867 }, "positionAbsolute": { "x": 1300.291760633212, "y": 417.7819626108867 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "id": "ChatOutput-GgTGu", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "documentation": "", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "data_template", "background_color", "chat_icon", "text_color", "clean_data" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "metadata": {}, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Message", "group_outputs": false, "method": "message_response", "name": "message", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from collections.abc import Generator\nfrom typing import Any\n\nimport orjson\nfrom fastapi.encoders import jsonable_encoder\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.helpers.data import safe_convert\nfrom langflow.inputs.inputs import BoolInput, DropdownInput, HandleInput, MessageTextInput\nfrom langflow.schema.data import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.template.field.base import Output\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n documentation: str = \"https://docs.langflow.org/components-io#chat-output\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Inputs\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(\n display_name=\"Output Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n\n # Get source properties\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message):\n message = self.input_value\n # Update message properties\n message.text = text\n else:\n message = Message(text=text)\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n\n # Store message if needed\n if self.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _serialize_data(self, data: Data) -> str:\n \"\"\"Serialize Data object to JSON string.\"\"\"\n # Convert data.data to JSON-serializable format\n serializable_data = jsonable_encoder(data.data)\n # Serialize with orjson, enabling pretty printing with indentation\n json_bytes = orjson.dumps(serializable_data, option=orjson.OPT_INDENT_2)\n # Convert bytes to string and wrap in Markdown code blocks\n return \"```json\\n\" + json_bytes.decode(\"utf-8\") + \"\\n```\"\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n clean_data: bool = getattr(self, \"clean_data\", False)\n return \"\\n\".join([safe_convert(item, clean_data=clean_data) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return safe_convert(self.input_value)\n" }, "data_template": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "data_template", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "{text}" }, "input_value": { "_input_type": "HandleInput", "advanced": false, "display_name": "Inputs", "dynamic": false, "info": "Message to be passed as output.", "input_types": [ "Data", "DataFrame", "Message" ], "list": false, "list_add_label": "Add More", "name": "input_value", "placeholder": "", "required": true, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "type": "str", "value": "Machine" }, "sender_name": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "AI" }, "session_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "list_add_label": "Add More", "name": "should_store_message", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "bool", "value": true } }, "tool_mode": false }, "showNode": false, "type": "ChatOutput" }, "dragging": false, "height": 234, "id": "ChatOutput-GgTGu", "measured": { "height": 234, "width": 192 }, "position": { "x": 2663.1409807478503, "y": 1049.1470151171268 }, "positionAbsolute": { "x": 2470.223353127597, "y": 1055.4039338762416 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-OAt8o", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Output Format", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "thread" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-OAt8o", "measured": { "height": 234, "width": 320 }, "position": { "x": 1300.639277084099, "y": 665.0274048594538 }, "positionAbsolute": { "x": 1300.639277084099, "y": 665.0274048594538 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-58oH9", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Output Language", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "English" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-58oH9", "measured": { "height": 234, "width": 320 }, "position": { "x": 1302.1321888373375, "y": 910.3592488005739 }, "positionAbsolute": { "x": 1302.1321888373375, "y": 910.3592488005739 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-3nKXg", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Profile Details", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "- Tech startup focused on AI/ML innovation - Active in open-source community - Experienced in building developer tools - Known for clear technical communication - Engaged audience of developers and AI enthusiasts" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-3nKXg", "measured": { "height": 234, "width": 320 }, "position": { "x": 1302.0774628387737, "y": 1167.3244357663511 }, "positionAbsolute": { "x": 1302.0774628387737, "y": 1167.3244357663511 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-rIJMY", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Tone And Style", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "- Professional yet approachable - Technical but accessible - Enthusiastic about innovation - Educational and informative - Collaborative and community-focused - Clear and concise - Solution-oriented" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-rIJMY", "measured": { "height": 234, "width": 320 }, "position": { "x": 1301.68182643676, "y": 1699.978793221378 }, "positionAbsolute": { "x": 1301.68182643676, "y": 1699.978793221378 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "TextInput-MlxGC", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get user text inputs.", "display_name": "Profile Type", "documentation": "", "edited": false, "field_order": [ "input_value" ], "frozen": false, "icon": "type", "legacy": false, "lf_version": "1.0.19.post2", "metadata": {}, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Text", "group_outputs": false, "method": "text_response", "name": "text", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get user text inputs.\"\n documentation: str = \"https://docs.langflow.org/components-io#text-input\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Output Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "Tech Company / AI Developer Platform" } } }, "type": "TextInput" }, "dragging": false, "height": 234, "id": "TextInput-MlxGC", "measured": { "height": 234, "width": 320 }, "position": { "x": 1301.4778537945892, "y": 1428.1749742780207 }, "positionAbsolute": { "x": 1301.4778537945892, "y": 1428.1749742780207 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "note-RMLbR", "node": { "description": "# Twitter Thread Generator\n\nWelcome to the Twitter Thread Generator! This flow helps you create compelling Twitter threads by transforming your structured inputs into engaging content.\n\n## Instructions\n\n1. Prepare Your Inputs\n - Fill in the \"Context\" with your main message or story\n - Define \"Content Guidelines\" for thread structure and style\n - Specify \"Profile Type\" and \"Profile Details\" to reflect your brand identity\n - Set \"Tone and Style\" to guide the communication approach\n - Choose \"Output Format\" (thread) and desired language\n\n2. Configure the Prompt\n - The flow uses a specialized prompt template to generate content\n - Ensure all input fields are connected to the prompt node\n\n3. Run the Generation\n - Execute the flow to process your inputs\n - The OpenAI model will create the thread based on your specifications\n\n4. Review and Refine\n - Examine the output in the Chat Output node\n - If needed, adjust your inputs and re-run for better results\n\n5. Finalize and Post\n - Once satisfied, copy the generated thread\n - Post to Twitter, maintaining the structure and flow\n\nRemember: Be specific in your context and guidelines for the best results! 🚀\n", "display_name": "", "documentation": "", "template": { "backgroundColor": "amber" } }, "type": "note" }, "dragging": false, "height": 800, "id": "note-RMLbR", "measured": { "height": 800, "width": 325 }, "position": { "x": 675.0099418843004, "y": 233.23451233469402 }, "positionAbsolute": { "x": 675.0099418843004, "y": 233.23451233469402 }, "resizing": false, "selected": false, "style": { "height": 800, "width": 324 }, "type": "noteNode", "width": 324 }, { "data": { "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "id": "Prompt-JXzxV", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": { "template": [ "PROFILE_TYPE", "PROFILE_DETAILS", "CONTENT_GUIDELINES", "TONE_AND_STYLE", "OUTPUT_FORMAT", "OUTPUT_LANGUAGE" ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, "field_order": [ "template", "tool_placeholder" ], "frozen": false, "icon": "braces", "legacy": false, "metadata": { "code_hash": "3bf0b511e227", "module": "langflow.components.prompts.prompt.PromptComponent" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Prompt", "group_outputs": false, "method": "build_prompt", "name": "prompt", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "CONTENT_GUIDELINES": { "advanced": false, "display_name": "CONTENT_GUIDELINES", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "CONTENT_GUIDELINES", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "OUTPUT_FORMAT": { "advanced": false, "display_name": "OUTPUT_FORMAT", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "OUTPUT_FORMAT", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "OUTPUT_LANGUAGE": { "advanced": false, "display_name": "OUTPUT_LANGUAGE", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "OUTPUT_LANGUAGE", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "PROFILE_DETAILS": { "advanced": false, "display_name": "PROFILE_DETAILS", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "PROFILE_DETAILS", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "PROFILE_TYPE": { "advanced": false, "display_name": "PROFILE_TYPE", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "PROFILE_TYPE", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "TONE_AND_STYLE": { "advanced": false, "display_name": "TONE_AND_STYLE", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "TONE_AND_STYLE", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom.custom_component.component import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import MessageTextInput, Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"braces\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n tool_mode=True,\n advanced=True,\n info=\"A placeholder input for tool mode.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(self) -> Message:\n prompt = Message.from_template(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n async def update_frontend_node(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"This function is called after the code validation is done.\"\"\"\n frontend_node = await super().update_frontend_node(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n" }, "template": { "_input_type": "PromptInput", "advanced": false, "display_name": "Template", "dynamic": false, "info": "", "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "template", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "type": "prompt", "value": "\nIntroduce the task of generating tweets or tweet threads based on the provided inputs\n\nExplain each input variable:\n\n{{PROFILE_TYPE}}\n\n{{PROFILE_DETAILS}}\n\n{{CONTENT_GUIDELINES}}\n\n{{TONE_AND_STYLE}}\n\n{{CONTEXT}}\n\n{{OUTPUT_FORMAT}}\n\n{{OUTPUT_LANGUAGE}}\n\nProvide step-by-step instructions on how to analyze the inputs to determine if a single tweet or thread is appropriate\n\nGive guidance on generating tweet content that aligns with the profile, guidelines, tone, style, and context\n\nExplain how to format the output based on the {{OUTPUT_FORMAT}} value\n\nProvide tips for creating engaging, coherent tweet content\n\n\n\n\nYou are an AI tweet generator that can create standalone tweets or multi-tweet threads based on a variety of inputs about the desired content. Here are the key inputs you will use to generate the tweet(s):\n\n\n\n{PROFILE_TYPE}\n\n\n\n\n\n{PROFILE_DETAILS}\n\n\n\n\n\n{CONTENT_GUIDELINES}\n\n\n\n\n\n{TONE_AND_STYLE}\n\n\n\n\n\n{OUTPUT_FORMAT}\n\n\n\n\n\n\n{OUTPUT_LANGUAGE}\n\n\n\nTo generate the appropriate tweet(s), follow these steps:\n\n\n\nCarefully analyze the {{PROFILE_TYPE}}, {{PROFILE_DETAILS}}, {{CONTENT_GUIDELINES}}, {{TONE_AND_STYLE}}, and {{CONTEXT}} to determine the depth and breadth of content needed.\n\nIf the {{OUTPUT_FORMAT}} is \"single_tweet\", plan to convey the key information in a concise, standalone tweet.\n\nIf the {{OUTPUT_FORMAT}} is \"thread\" or if the content seems too complex for a single tweet, outline a series of connected tweets that flow together to cover the topic.\n\n\n\n\n\nBrainstorm tweet content that aligns with the {{PROFILE_TYPE}} and {{PROFILE_DETAILS}}, adheres to the {{CONTENT_GUIDELINES}}, matches the {{TONE_AND_STYLE}}, and incorporates the {{CONTEXT}}.\n\nFor a single tweet, craft the most engaging, informative message possible within the 280 character limit.\n\nFor a thread, break down the content into distinct yet connected tweet-sized chunks. Ensure each tweet flows logically into the next to maintain reader engagement. Use transitional phrases as needed to link tweets.\n\n\n\n\nFormat the output based on the {{OUTPUT_FORMAT}}:\n\nFor a single tweet, provide the content.\n\nFor a thread, include each tweet inside numbered markdown list.\n\n \nFocus on creating original, engaging content that provides value to the intended audience.\n\nOptimize the tweet(s) for the 280 character limit. Be concise yet impactful.\n\nMaintain a consistent voice that matches the {{TONE_AND_STYLE}} throughout the tweet(s).\n\nInclude calls-to-action or questions to drive engagement when appropriate.\n\nDouble check that the final output aligns with the {{PROFILE_DETAILS}} and {{CONTENT_GUIDELINES}}.\n\n\n\nNow create a Tweet or Twitter Thread for this context:\n\n" }, "tool_placeholder": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Tool Placeholder", "dynamic": false, "info": "A placeholder input for tool mode.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "tool_placeholder", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" } }, "tool_mode": false }, "type": "Prompt" }, "dragging": false, "height": 779, "id": "Prompt-JXzxV", "measured": { "height": 779, "width": 320 }, "position": { "x": 1697.1682096049744, "y": 675.4022940880462 }, "positionAbsolute": { "x": 1697.1682096049744, "y": 675.4022940880462 }, "selected": false, "type": "genericNode", "width": 320 }, { "data": { "id": "LanguageModelComponent-URKKz", "node": { "base_classes": [ "LanguageModel", "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Runs a language model given a specified provider. ", "display_name": "Language Model", "documentation": "", "edited": false, "field_order": [ "provider", "model_name", "api_key", "input_value", "system_message", "stream", "temperature" ], "frozen": false, "icon": "brain-circuit", "legacy": false, "metadata": { "keywords": [ "model", "llm", "language model", "large language model" ] }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Model Response", "group_outputs": false, "method": "text_response", "name": "text_output", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" }, { "allows_loop": false, "cache": true, "display_name": "Language Model", "group_outputs": false, "method": "build_model", "name": "model_output", "selected": "LanguageModel", "tool_mode": true, "types": [ "LanguageModel" ], "value": "__UNDEFINED__" } ], "pinned": false, "priority": 0, "template": { "_type": "Component", "api_key": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "OpenAI API Key", "dynamic": false, "info": "Model Provider API key", "input_types": [], "load_from_db": true, "name": "api_key", "password": true, "placeholder": "OPENAI_API_KEY", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "type": "str", "value": "OPENAI_API_KEY" }, "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from typing import Any\n\nfrom langchain_anthropic import ChatAnthropic\nfrom langchain_google_genai import ChatGoogleGenerativeAI\nfrom langchain_openai import ChatOpenAI\n\nfrom langflow.base.models.anthropic_constants import ANTHROPIC_MODELS\nfrom langflow.base.models.google_generative_ai_constants import GOOGLE_GENERATIVE_AI_MODELS\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_CHAT_MODEL_NAMES, OPENAI_REASONING_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langflow.inputs.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageInput, MultilineInput, SecretStrInput, SliderInput\nfrom langflow.schema.dotdict import dotdict\n\n\nclass LanguageModelComponent(LCModelComponent):\n display_name = \"Language Model\"\n description = \"Runs a language model given a specified provider.\"\n documentation: str = \"https://docs.langflow.org/components-models\"\n icon = \"brain-circuit\"\n category = \"models\"\n priority = 0 # Set priority to 0 to make it appear first\n\n inputs = [\n DropdownInput(\n name=\"provider\",\n display_name=\"Model Provider\",\n options=[\"OpenAI\", \"Anthropic\", \"Google\"],\n value=\"OpenAI\",\n info=\"Select the model provider\",\n real_time_refresh=True,\n options_metadata=[{\"icon\": \"OpenAI\"}, {\"icon\": \"Anthropic\"}, {\"icon\": \"GoogleGenerativeAI\"}],\n ),\n DropdownInput(\n name=\"model_name\",\n display_name=\"Model Name\",\n options=OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES,\n value=OPENAI_CHAT_MODEL_NAMES[0],\n info=\"Select the model to use\",\n real_time_refresh=True,\n ),\n SecretStrInput(\n name=\"api_key\",\n display_name=\"OpenAI API Key\",\n info=\"Model Provider API key\",\n required=False,\n show=True,\n real_time_refresh=True,\n ),\n MessageInput(\n name=\"input_value\",\n display_name=\"Input\",\n info=\"The input text to send to the model\",\n ),\n MultilineInput(\n name=\"system_message\",\n display_name=\"System Message\",\n info=\"A system message that helps set the behavior of the assistant\",\n advanced=False,\n ),\n BoolInput(\n name=\"stream\",\n display_name=\"Stream\",\n info=\"Whether to stream the response\",\n value=False,\n advanced=True,\n ),\n SliderInput(\n name=\"temperature\",\n display_name=\"Temperature\",\n value=0.1,\n info=\"Controls randomness in responses\",\n range_spec=RangeSpec(min=0, max=1, step=0.01),\n advanced=True,\n ),\n ]\n\n def build_model(self) -> LanguageModel:\n provider = self.provider\n model_name = self.model_name\n temperature = self.temperature\n stream = self.stream\n\n if provider == \"OpenAI\":\n if not self.api_key:\n msg = \"OpenAI API key is required when using OpenAI provider\"\n raise ValueError(msg)\n\n if model_name in OPENAI_REASONING_MODEL_NAMES:\n # reasoning models do not support temperature (yet)\n temperature = None\n\n return ChatOpenAI(\n model_name=model_name,\n temperature=temperature,\n streaming=stream,\n openai_api_key=self.api_key,\n )\n if provider == \"Anthropic\":\n if not self.api_key:\n msg = \"Anthropic API key is required when using Anthropic provider\"\n raise ValueError(msg)\n return ChatAnthropic(\n model=model_name,\n temperature=temperature,\n streaming=stream,\n anthropic_api_key=self.api_key,\n )\n if provider == \"Google\":\n if not self.api_key:\n msg = \"Google API key is required when using Google provider\"\n raise ValueError(msg)\n return ChatGoogleGenerativeAI(\n model=model_name,\n temperature=temperature,\n streaming=stream,\n google_api_key=self.api_key,\n )\n msg = f\"Unknown provider: {provider}\"\n raise ValueError(msg)\n\n def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None) -> dotdict:\n if field_name == \"provider\":\n if field_value == \"OpenAI\":\n build_config[\"model_name\"][\"options\"] = OPENAI_CHAT_MODEL_NAMES + OPENAI_REASONING_MODEL_NAMES\n build_config[\"model_name\"][\"value\"] = OPENAI_CHAT_MODEL_NAMES[0]\n build_config[\"api_key\"][\"display_name\"] = \"OpenAI API Key\"\n elif field_value == \"Anthropic\":\n build_config[\"model_name\"][\"options\"] = ANTHROPIC_MODELS\n build_config[\"model_name\"][\"value\"] = ANTHROPIC_MODELS[0]\n build_config[\"api_key\"][\"display_name\"] = \"Anthropic API Key\"\n elif field_value == \"Google\":\n build_config[\"model_name\"][\"options\"] = GOOGLE_GENERATIVE_AI_MODELS\n build_config[\"model_name\"][\"value\"] = GOOGLE_GENERATIVE_AI_MODELS[0]\n build_config[\"api_key\"][\"display_name\"] = \"Google API Key\"\n elif field_name == \"model_name\" and field_value.startswith(\"o1\") and self.provider == \"OpenAI\":\n # Hide system_message for o1 models - currently unsupported\n if \"system_message\" in build_config:\n build_config[\"system_message\"][\"show\"] = False\n elif field_name == \"model_name\" and not field_value.startswith(\"o1\") and \"system_message\" in build_config:\n build_config[\"system_message\"][\"show\"] = True\n return build_config\n" }, "input_value": { "_input_type": "MessageInput", "advanced": false, "display_name": "Input", "dynamic": false, "info": "The input text to send to the model", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "model_name": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "Model Name", "dynamic": false, "info": "Select the model to use", "name": "model_name", "options": [ "gpt-4o-mini", "gpt-4o", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", "gpt-4.5-preview", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-4", "gpt-3.5-turbo" ], "options_metadata": [], "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "type": "str", "value": "gpt-4.1" }, "provider": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "Model Provider", "dynamic": false, "info": "Select the model provider", "name": "provider", "options": [ "OpenAI", "Anthropic", "Google" ], "options_metadata": [ { "icon": "OpenAI" }, { "icon": "Anthropic" }, { "icon": "Google" } ], "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "type": "str", "value": "OpenAI" }, "stream": { "_input_type": "BoolInput", "advanced": true, "display_name": "Stream", "dynamic": false, "info": "Whether to stream the response", "list": false, "list_add_label": "Add More", "name": "stream", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "bool", "value": false }, "system_message": { "_input_type": "MultilineInput", "advanced": false, "copy_field": false, "display_name": "System Message", "dynamic": false, "info": "A system message that helps set the behavior of the assistant", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "system_message", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "temperature": { "_input_type": "SliderInput", "advanced": true, "display_name": "Temperature", "dynamic": false, "info": "Controls randomness in responses", "max_label": "", "max_label_icon": "", "min_label": "", "min_label_icon": "", "name": "temperature", "placeholder": "", "range_spec": { "max": 1, "min": 0, "step": 0.01, "step_type": "float" }, "required": false, "show": true, "slider_buttons": false, "slider_buttons_options": [], "slider_input": false, "title_case": false, "tool_mode": false, "type": "slider", "value": 0.1 } }, "tool_mode": false }, "showNode": true, "type": "LanguageModelComponent" }, "dragging": false, "id": "LanguageModelComponent-URKKz", "measured": { "height": 534, "width": 320 }, "position": { "x": 2182.7940856919763, "y": 761.5508208654511 }, "selected": false, "type": "genericNode" } ], "viewport": { "x": -575.4285404980087, "y": -63.90852790656527, "zoom": 0.5526991979710968 } }, "description": "Transform structured inputs into engaging Twitter threads with this prompt-based flow, maintaining brand voice and technical accuracy.", "endpoint_name": null, "id": "0c3995a1-e452-43cf-8fc9-a3d3338e5eca", "is_component": false, "last_tested_version": "1.4.3", "name": "Twitter Thread Generator", "tags": [ "chatbots", "content-generation" ] }