{ "data": { "edges": [ { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "Memory", "id": "Memory-8X8Cq", "name": "dataframe", "output_types": [ "DataFrame" ] }, "targetHandle": { "fieldName": "input_data", "id": "TypeConverterComponent-koSIz", "inputTypes": [ "Message", "Data", "DataFrame" ], "type": "other" } }, "id": "xy-edge__Memory-8X8Cq{œdataTypeœ:œMemoryœ,œidœ:œMemory-8X8Cqœ,œnameœ:œdataframeœ,œoutput_typesœ:[œDataFrameœ]}-TypeConverterComponent-koSIz{œfieldNameœ:œinput_dataœ,œidœ:œTypeConverterComponent-koSIzœ,œinputTypesœ:[œMessageœ,œDataœ,œDataFrameœ],œtypeœ:œotherœ}", "selected": false, "source": "Memory-8X8Cq", "sourceHandle": "{œdataTypeœ:œMemoryœ,œidœ:œMemory-8X8Cqœ,œnameœ:œdataframeœ,œoutput_typesœ:[œDataFrameœ]}", "target": "TypeConverterComponent-koSIz", "targetHandle": "{œfieldNameœ:œinput_dataœ,œidœ:œTypeConverterComponent-koSIzœ,œinputTypesœ:[œMessageœ,œDataœ,œDataFrameœ],œtypeœ:œotherœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "TypeConverterComponent", "id": "TypeConverterComponent-koSIz", "name": "message_output", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "context", "id": "Prompt-VSSGR", "inputTypes": [ "Message" ], "type": "str" } }, "id": "xy-edge__TypeConverterComponent-koSIz{œdataTypeœ:œTypeConverterComponentœ,œidœ:œTypeConverterComponent-koSIzœ,œnameœ:œmessage_outputœ,œoutput_typesœ:[œMessageœ]}-Prompt-VSSGR{œfieldNameœ:œcontextœ,œidœ:œPrompt-VSSGRœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "TypeConverterComponent-koSIz", "sourceHandle": "{œdataTypeœ:œTypeConverterComponentœ,œidœ:œTypeConverterComponent-koSIzœ,œnameœ:œmessage_outputœ,œoutput_typesœ:[œMessageœ]}", "target": "Prompt-VSSGR", "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-VSSGRœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "ChatInput", "id": "ChatInput-vsgM1", "name": "message", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "user_message", "id": "Prompt-VSSGR", "inputTypes": [ "Message" ], "type": "str" } }, "id": "xy-edge__ChatInput-vsgM1{œdataTypeœ:œChatInputœ,œidœ:œChatInput-vsgM1œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-VSSGR{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-VSSGRœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "selected": false, "source": "ChatInput-vsgM1", "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-vsgM1œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}", "target": "Prompt-VSSGR", "targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-VSSGRœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}" }, { "animated": false, "className": "", "data": { "sourceHandle": { "dataType": "Prompt", "id": "Prompt-VSSGR", "name": "prompt", "output_types": [ "Message" ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-NAw0P", "inputTypes": [ "Data", "DataFrame", "Message" ], "type": "other" } }, "id": "xy-edge__Prompt-VSSGR{œdataTypeœ:œPromptœ,œidœ:œPrompt-VSSGRœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-NAw0P{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-NAw0Pœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", "selected": false, "source": "Prompt-VSSGR", "sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-VSSGRœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}", "target": "ChatOutput-NAw0P", "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-NAw0Pœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}" } ], "nodes": [ { "data": { "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "id": "Prompt-VSSGR", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": { "template": [ "context", "user_message" ] }, "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, "lf_version": "1.4.2", "metadata": {}, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Prompt", "group_outputs": false, "method": "build_prompt", "name": "prompt", "options": null, "required_inputs": null, "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 lfx.base.prompts.api_utils import process_prompt_template\nfrom lfx.custom import Component\nfrom lfx.inputs.inputs import DefaultPromptField\nfrom lfx.io import MessageTextInput, Output, PromptInput\nfrom lfx.schema.message import Message\nfrom lfx.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" }, "context": { "advanced": false, "display_name": "context", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "context", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "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": "{context}\n\nUser: {user_message}\nAI: " }, "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": "" }, "user_message": { "advanced": false, "display_name": "user_message", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": [ "Message" ], "list": false, "load_from_db": false, "multiline": true, "name": "user_message", "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" } }, "tool_mode": false }, "type": "Prompt" }, "dragging": false, "height": 494, "id": "Prompt-VSSGR", "measured": { "height": 494, "width": 320 }, "position": { "x": 1880.8227904110583, "y": 625.8049209882275 }, "positionAbsolute": { "x": 1880.8227904110583, "y": 625.8049209882275 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "id": "ChatInput-vsgM1", "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, "lf_version": "1.4.2", "metadata": {}, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Chat Message", "group_outputs": false, "method": "message_response", "name": "message", "options": null, "required_inputs": null, "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "background_color": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Background Color", "dynamic": false, "info": "The background color of the icon.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "background_color", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "chat_icon": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Icon", "dynamic": false, "info": "The icon of the message.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "chat_icon", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "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 lfx.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom lfx.base.io.chat import ChatComponent\nfrom lfx.inputs import BoolInput\nfrom lfx.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom lfx.schema.message import Message\nfrom lfx.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 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 MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=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 background_color = self.background_color\n text_color = self.text_color\n icon = self.chat_icon\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=self.files,\n properties={\n \"background_color\": background_color,\n \"text_color\": text_color,\n \"icon\": icon,\n },\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": [ "txt", "md", "mdx", "csv", "json", "yaml", "yml", "xml", "html", "htm", "pdf", "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": "" }, "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 }, "text_color": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Text Color", "dynamic": false, "info": "The text color of the name", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "text_color", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" } }, "tool_mode": false }, "type": "ChatInput" }, "dragging": false, "height": 294, "id": "ChatInput-vsgM1", "measured": { "height": 294, "width": 320 }, "position": { "x": 1275.9262193671882, "y": 836.1228056896347 }, "positionAbsolute": { "x": 1275.9262193671882, "y": 836.1228056896347 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "id": "ChatOutput-NAw0P", "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, "lf_version": "1.4.2", "metadata": {}, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Message", "group_outputs": false, "method": "message_response", "name": "message", "options": null, "required_inputs": null, "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "background_color": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Background Color", "dynamic": false, "info": "The background color of the icon.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "background_color", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "chat_icon": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Icon", "dynamic": false, "info": "The icon of the message.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "chat_icon", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "clean_data": { "_input_type": "BoolInput", "advanced": true, "display_name": "Basic Clean Data", "dynamic": false, "info": "Whether to clean the data", "list": false, "list_add_label": "Add More", "name": "clean_data", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "bool", "value": true }, "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 lfx.base.io.chat import ChatComponent\nfrom lfx.helpers.data import safe_convert\nfrom lfx.inputs import BoolInput\nfrom lfx.inputs.inputs import HandleInput\nfrom lfx.io import DropdownInput, MessageTextInput, Output\nfrom lfx.schema.data import Data\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.schema.properties import Source\nfrom lfx.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 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 MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n info=\"Whether to clean the data\",\n advanced=True,\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 background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\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 message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\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 return \"\\n\".join([safe_convert(item, clean_data=self.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 }, "text_color": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Text Color", "dynamic": false, "info": "The text color of the name", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "text_color", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" } }, "tool_mode": false }, "type": "ChatOutput" }, "dragging": true, "height": 294, "id": "ChatOutput-NAw0P", "measured": { "height": 294, "width": 320 }, "position": { "x": 2487.48936094892, "y": 703.7197762654707 }, "positionAbsolute": { "x": 2487.48936094892, "y": 703.7197762654707 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Retrieves stored chat messages from Langflow tables or an external memory.", "display_name": "Chat Memory", "id": "Memory-8X8Cq", "node": { "base_classes": [ "DataFrame" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Stores or retrieves stored chat messages from Langflow tables or an external memory.", "display_name": "Message History", "documentation": "", "edited": false, "field_order": [ "mode", "message", "memory", "sender", "sender_name", "n_messages", "session_id", "order", "template" ], "frozen": false, "icon": "message-square-more", "legacy": false, "lf_version": "1.4.2", "metadata": {}, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Messages", "group_outputs": false, "hidden": null, "method": "retrieve_messages_dataframe", "name": "dataframe", "options": null, "required_inputs": null, "selected": "DataFrame", "tool_mode": true, "types": [ "DataFrame" ], "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 typing import Any, cast\n\nfrom lfx.custom import Component\nfrom lfx.inputs import HandleInput\nfrom lfx.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output, TabInput\nfrom lfx.memory import aget_messages, astore_message\nfrom lfx.schema import Data, dotdict\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.utils.component_utils import set_current_fields, set_field_display\nfrom lfx.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass MemoryComponent(Component):\n display_name = \"Message History\"\n description = \"Stores or retrieves stored chat messages from Langflow tables or an external memory.\"\n icon = \"message-square-more\"\n name = \"Memory\"\n default_keys = [\"mode\", \"memory\"]\n mode_config = {\n \"Store\": [\"message\", \"memory\", \"sender\", \"sender_name\", \"session_id\"],\n \"Retrieve\": [\"n_messages\", \"order\", \"template\", \"memory\"],\n }\n\n inputs = [\n TabInput(\n name=\"mode\",\n display_name=\"Mode\",\n options=[\"Retrieve\", \"Store\"],\n value=\"Retrieve\",\n info=\"Operation mode: Store messages or Retrieve messages.\",\n real_time_refresh=True,\n ),\n MessageTextInput(\n name=\"message\",\n display_name=\"Message\",\n info=\"The chat message to be stored.\",\n tool_mode=True,\n dynamic=True,\n show=False,\n ),\n HandleInput(\n name=\"memory\",\n display_name=\"External Memory\",\n input_types=[\"Memory\"],\n info=\"Retrieve messages from an external memory. If empty, it will use the Langflow tables.\",\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER, \"Machine and User\"],\n value=\"Machine and User\",\n info=\"Filter by sender type.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Filter by sender name.\",\n advanced=True,\n show=False,\n ),\n IntInput(\n name=\"n_messages\",\n display_name=\"Number of Messages\",\n value=100,\n info=\"Number of messages to retrieve.\",\n advanced=True,\n show=False,\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 DropdownInput(\n name=\"order\",\n display_name=\"Order\",\n options=[\"Ascending\", \"Descending\"],\n value=\"Ascending\",\n info=\"Order of the messages.\",\n advanced=True,\n tool_mode=True,\n required=True,\n show=False,\n ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {sender} or any other key in the message data.\",\n value=\"{sender_name}: {text}\",\n advanced=True,\n show=False,\n ),\n ]\n\n outputs = [Output(display_name=\"Messages\", name=\"dataframe\", method=\"retrieve_messages_dataframe\", dynamic=True)]\n\n def update_outputs(self, frontend_node: dict, field_name: str, field_value: Any) -> dict:\n \"\"\"Dynamically show only the relevant output based on the selected output type.\"\"\"\n if field_name == \"mode\":\n # Start with empty outputs\n frontend_node[\"outputs\"] = []\n if field_value == \"Store\":\n frontend_node[\"outputs\"] = [\n Output(\n display_name=\"Stored Messages\",\n name=\"stored_messages\",\n method=\"store_message\",\n hidden=True,\n dynamic=True,\n )\n ]\n if field_value == \"Retrieve\":\n frontend_node[\"outputs\"] = [\n Output(\n display_name=\"Messages\", name=\"dataframe\", method=\"retrieve_messages_dataframe\", dynamic=True\n )\n ]\n return frontend_node\n\n async def retrieve_messages(self) -> Data:\n sender = self.sender\n sender_name = self.sender_name\n session_id = self.session_id\n n_messages = self.n_messages\n order = \"DESC\" if self.order == \"Descending\" else \"ASC\"\n\n if sender == \"Machine and User\":\n sender = None\n\n if self.memory and not hasattr(self.memory, \"aget_messages\"):\n memory_name = type(self.memory).__name__\n err_msg = f\"External Memory object ({memory_name}) must have 'aget_messages' method.\"\n raise AttributeError(err_msg)\n # Check if n_messages is None or 0\n if n_messages == 0:\n stored = []\n elif self.memory:\n # override session_id\n self.memory.session_id = session_id\n\n stored = await self.memory.aget_messages()\n # langchain memories are supposed to return messages in ascending order\n if order == \"DESC\":\n stored = stored[::-1]\n if n_messages:\n stored = stored[:n_messages]\n stored = [Message.from_lc_message(m) for m in stored]\n if sender:\n expected_type = MESSAGE_SENDER_AI if sender == MESSAGE_SENDER_AI else MESSAGE_SENDER_USER\n stored = [m for m in stored if m.type == expected_type]\n else:\n stored = await aget_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n self.status = stored\n return cast(Data, stored)\n\n async def retrieve_messages_dataframe(self) -> DataFrame:\n \"\"\"Convert the retrieved messages into a DataFrame.\n\n Returns:\n DataFrame: A DataFrame containing the message data.\n \"\"\"\n messages = await self.retrieve_messages()\n return DataFrame(messages)\n\n async def store_message(self) -> Message:\n message = Message(text=self.message) if isinstance(self.message, str) else self.message\n\n message.session_id = self.session_id or message.session_id\n message.sender = self.sender or message.sender or MESSAGE_SENDER_AI\n message.sender_name = self.sender_name or message.sender_name or MESSAGE_SENDER_NAME_AI\n\n stored_messages: list[Message] = []\n\n if self.memory:\n self.memory.session_id = message.session_id\n lc_message = message.to_lc_message()\n await self.memory.aadd_messages([lc_message])\n\n stored_messages = await self.memory.aget_messages() or []\n\n stored_messages = [Message.from_lc_message(m) for m in stored_messages] if stored_messages else []\n\n if message.sender:\n stored_messages = [m for m in stored_messages if m.sender == message.sender]\n else:\n await astore_message(message, flow_id=self.graph.flow_id)\n stored_messages = (\n await aget_messages(\n session_id=message.session_id, sender_name=message.sender_name, sender=message.sender\n )\n or []\n )\n\n if not stored_messages:\n msg = \"No messages were stored. Please ensure that the session ID and sender are properly set.\"\n raise ValueError(msg)\n\n stored_message = stored_messages[0]\n self.status = stored_message\n return stored_message\n\n def update_build_config(\n self,\n build_config: dotdict,\n field_value: Any, # noqa: ARG002\n field_name: str | None = None, # noqa: ARG002\n ) -> dotdict:\n return set_current_fields(\n build_config=build_config,\n action_fields=self.mode_config,\n selected_action=build_config[\"mode\"][\"value\"],\n default_fields=self.default_keys,\n func=set_field_display,\n )\n" }, "memory": { "_input_type": "HandleInput", "advanced": true, "display_name": "External Memory", "dynamic": false, "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", "input_types": [ "Memory" ], "list": false, "list_add_label": "Add More", "name": "memory", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "message": { "_input_type": "MessageTextInput", "advanced": false, "display_name": "Message", "dynamic": true, "info": "The chat message to be stored.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "message", "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "mode": { "_input_type": "TabInput", "advanced": false, "display_name": "Mode", "dynamic": false, "info": "Operation mode: Store messages or Retrieve messages.", "name": "mode", "options": [ "Retrieve", "Store" ], "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "tab", "value": "Retrieve" }, "n_messages": { "_input_type": "IntInput", "advanced": true, "display_name": "Number of Messages", "dynamic": false, "info": "Number of messages to retrieve.", "list": false, "list_add_label": "Add More", "name": "n_messages", "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "int", "value": 100 }, "order": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Order", "dynamic": false, "info": "Order of the messages.", "name": "order", "options": [ "Ascending", "Descending" ], "options_metadata": [], "placeholder": "", "required": true, "show": false, "title_case": false, "toggle": false, "tool_mode": true, "trace_as_metadata": true, "type": "str", "value": "Ascending" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "info": "Filter by sender type.", "name": "sender", "options": [ "Machine", "User", "Machine and User" ], "options_metadata": [], "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "type": "str", "value": "Machine and User" }, "sender_name": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Filter by sender name.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "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": "" }, "template": { "_input_type": "MultilineInput", "advanced": true, "copy_field": false, "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "template", "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "{sender_name}: {text}" } }, "tool_mode": false }, "type": "Memory" }, "dragging": false, "height": 366, "id": "Memory-8X8Cq", "measured": { "height": 366, "width": 320 }, "position": { "x": 1308.5775646859402, "y": 406.95204412025845 }, "positionAbsolute": { "x": 1308.5775646859402, "y": 406.95204412025845 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "id": "TypeConverterComponent-koSIz", "node": { "base_classes": [ "Message" ], "beta": false, "category": "processing", "conditional_paths": [], "custom_fields": {}, "description": "Convert between different types (Message, Data, DataFrame)", "display_name": "Type Convert", "documentation": "", "edited": false, "field_order": [ "input_data", "output_type" ], "frozen": false, "icon": "repeat", "key": "TypeConverterComponent", "legacy": false, "lf_version": "1.4.2", "metadata": {}, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Message Output", "group_outputs": false, "method": "convert_to_message", "name": "message_output", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "score": 0.007568328950209746, "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 typing import Any\n\nfrom lfx.custom import Component\nfrom lfx.io import HandleInput, Output, TabInput\nfrom lfx.schema import Data, DataFrame, Message\n\n\ndef convert_to_message(v) -> Message:\n \"\"\"Convert input to Message type.\n\n Args:\n v: Input to convert (Message, Data, DataFrame, or dict)\n\n Returns:\n Message: Converted Message object\n \"\"\"\n return v if isinstance(v, Message) else v.to_message()\n\n\ndef convert_to_data(v: DataFrame | Data | Message | dict) -> Data:\n \"\"\"Convert input to Data type.\n\n Args:\n v: Input to convert (Message, Data, DataFrame, or dict)\n\n Returns:\n Data: Converted Data object\n \"\"\"\n if isinstance(v, dict):\n return Data(v)\n return v if isinstance(v, Data) else v.to_data()\n\n\ndef convert_to_dataframe(v: DataFrame | Data | Message | dict) -> DataFrame:\n \"\"\"Convert input to DataFrame type.\n\n Args:\n v: Input to convert (Message, Data, DataFrame, or dict)\n\n Returns:\n DataFrame: Converted DataFrame object\n \"\"\"\n if isinstance(v, dict):\n return DataFrame([v])\n return v if isinstance(v, DataFrame) else v.to_dataframe()\n\n\nclass TypeConverterComponent(Component):\n display_name = \"Type Convert\"\n description = \"Convert between different types (Message, Data, DataFrame)\"\n icon = \"repeat\"\n\n inputs = [\n HandleInput(\n name=\"input_data\",\n display_name=\"Input\",\n input_types=[\"Message\", \"Data\", \"DataFrame\"],\n info=\"Accept Message, Data or DataFrame as input\",\n required=True,\n ),\n TabInput(\n name=\"output_type\",\n display_name=\"Output Type\",\n options=[\"Message\", \"Data\", \"DataFrame\"],\n info=\"Select the desired output data type\",\n real_time_refresh=True,\n value=\"Message\",\n ),\n ]\n\n outputs = [Output(display_name=\"Message Output\", name=\"message_output\", method=\"convert_to_message\")]\n\n def update_outputs(self, frontend_node: dict, field_name: str, field_value: Any) -> dict:\n \"\"\"Dynamically show only the relevant output based on the selected output type.\"\"\"\n if field_name == \"output_type\":\n # Start with empty outputs\n frontend_node[\"outputs\"] = []\n\n # Add only the selected output type\n if field_value == \"Message\":\n frontend_node[\"outputs\"].append(\n Output(display_name=\"Message Output\", name=\"message_output\", method=\"convert_to_message\").to_dict()\n )\n elif field_value == \"Data\":\n frontend_node[\"outputs\"].append(\n Output(display_name=\"Data Output\", name=\"data_output\", method=\"convert_to_data\").to_dict()\n )\n elif field_value == \"DataFrame\":\n frontend_node[\"outputs\"].append(\n Output(\n display_name=\"DataFrame Output\", name=\"dataframe_output\", method=\"convert_to_dataframe\"\n ).to_dict()\n )\n\n return frontend_node\n\n def convert_to_message(self) -> Message:\n \"\"\"Convert input to Message type.\"\"\"\n return convert_to_message(self.input_data[0] if isinstance(self.input_data, list) else self.input_data)\n\n def convert_to_data(self) -> Data:\n \"\"\"Convert input to Data type.\"\"\"\n return convert_to_data(self.input_data[0] if isinstance(self.input_data, list) else self.input_data)\n\n def convert_to_dataframe(self) -> DataFrame:\n \"\"\"Convert input to DataFrame type.\"\"\"\n return convert_to_dataframe(self.input_data[0] if isinstance(self.input_data, list) else self.input_data)\n" }, "input_data": { "_input_type": "HandleInput", "advanced": false, "display_name": "Input", "dynamic": false, "info": "Accept Message, Data or DataFrame as input", "input_types": [ "Message", "Data", "DataFrame" ], "list": false, "list_add_label": "Add More", "name": "input_data", "placeholder": "", "required": true, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "output_type": { "_input_type": "TabInput", "advanced": false, "display_name": "Output Type", "dynamic": false, "info": "Select the desired output data type", "name": "output_type", "options": [ "Message", "Data", "DataFrame" ], "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "type": "tab", "value": "Message" } }, "tool_mode": false }, "showNode": true, "type": "TypeConverterComponent" }, "dragging": false, "id": "TypeConverterComponent-koSIz", "measured": { "height": 261, "width": 320 }, "position": { "x": 1680.7884314480486, "y": 378.23790603026777 }, "selected": true, "type": "genericNode" } ], "viewport": { "x": -810.6674739450368, "y": -114.59139005551219, "zoom": 0.6810300764379204 } }, "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.", "endpoint_name": null, "id": "76f4de62-4bb6-4681-b90f-7be832cd9818", "is_component": false, "last_tested_version": "1.4.2", "name": "MemoryChatbotNoLLM", "tags": [] }