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fix: update starter projects (#2665)

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anovazzi1 2024-07-12 15:55:00 -03:00 • committed by GitHub
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5 changed files with 459 additions and 310 deletions
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104
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json
View file

@ -6,7 +6,7 @@
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"name": "message",
"output_types": [
"Message"
@ -14,7 +14,7 @@
},
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"inputTypes": [
"Message",
"Text"
@ -22,18 +22,18 @@
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-GBI4i{œdataTypeœ:œChatInputœ,œidœ:œChatInput-GBI4iœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-vrft7{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-vrft7œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-GBI4i",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-GBI4iœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-vrft7",
"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-vrft7œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ChatInput-jbtaD{œdataTypeœ:œChatInputœ,œidœ:œChatInput-jbtaDœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-0SBd6{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-0SBd6œ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-jbtaD",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-jbtaDœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-0SBd6",
"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-0SBd6œ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"name": "prompt",
"output_types": [
"Message"
@ -41,25 +41,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-vrft7{œdataTypeœ:œPromptœ,œidœ:œPrompt-vrft7œ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-Y1Uvp{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Y1Uvpœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-vrft7",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-vrft7œ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-Y1Uvp",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-Y1Uvpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Prompt-0SBd6{œdataTypeœ:œPromptœ,œidœ:œPrompt-0SBd6œ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-HBuxy{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-HBuxyœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-0SBd6",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-0SBd6œ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-HBuxy",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-HBuxyœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"name": "text_output",
"output_types": [
"Message"
@ -67,18 +67,18 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-Y1Uvp{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Y1Uvpœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-QRfK5{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-QRfK5œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-Y1Uvp",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-Y1Uvpœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-QRfK5",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-QRfK5œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-OpenAIModel-HBuxy{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-HBuxyœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-WG5tg{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-WG5tgœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-HBuxy",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-HBuxyœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-WG5tg",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-WG5tgœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
}
],
"nodes": [
@ -86,7 +86,7 @@
"data": {
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"node": {
"base_classes": [
"Message"
@ -100,6 +100,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
@ -140,7 +141,7 @@
"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.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"files": {
"advanced": true,
@ -261,6 +262,21 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
@ -268,7 +284,7 @@
},
"dragging": false,
"height": 309,
"id": "ChatInput-GBI4i",
"id": "ChatInput-jbtaD",
"position": {
"x": -493.6459512396177,
"y": 1083.200545525551
@ -285,7 +301,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"node": {
"base_classes": [
"Message"
@ -387,7 +403,7 @@
},
"dragging": false,
"height": 423,
"id": "Prompt-vrft7",
"id": "Prompt-0SBd6",
"position": {
"x": 56.354011530798516,
"y": 1157.2005405164796
@ -404,7 +420,7 @@
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"node": {
"base_classes": [
"Message"
@ -418,6 +434,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
@ -458,7 +475,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"data_template": {
"advanced": true,
@ -557,6 +574,21 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
@ -564,7 +596,7 @@
},
"dragging": false,
"height": 309,
"id": "ChatOutput-QRfK5",
"id": "ChatOutput-WG5tg",
"position": {
"x": 1219.477374823274,
"y": 1200.950216973985
@ -581,7 +613,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"node": {
"base_classes": [
"LanguageModel",
@ -857,7 +889,7 @@
},
"dragging": false,
"height": 623,
"id": "OpenAIModel-Y1Uvp",
"id": "OpenAIModel-HBuxy",
"position": {
"x": 664.0296638933031,
"y": 1026.5966174731725
@ -872,15 +904,15 @@
}
],
"viewport": {
"x": 283.5782991180689,
"y": -288.9547032063149,
"zoom": 0.43809300423581504
"x": 427.12410642709614,
"y": -361.39815091467085,
"zoom": 0.5562299357713679
}
},
"description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
"endpoint_name": null,
"id": "f672da95-a7e3-41d2-942d-7ceabe1c0daa",
"id": "b0e19aab-2095-41ee-b91c-1168790cc68b",
"is_component": false,
"last_tested_version": "1.0.7",
"last_tested_version": "1.0.9",
"name": "Basic Prompting (Hello, World)"
}

122
src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json
View file

@ -6,7 +6,7 @@
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-9mY8k",
"id": "URL-76lwY",
"name": "data",
"output_types": [
"Data"
@ -14,25 +14,25 @@
},
"targetHandle": {
"fieldName": "data",
"id": "ParseData-qtEJg",
"id": "ParseData-jYhXf",
"inputTypes": [
"Data"
],
"type": "other"
}
},
"id": "reactflow__edge-URL-9mY8k{œdataTypeœ:œURLœ,œidœ:œURL-9mY8kœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-qtEJg{œfieldNameœ:œdataœ,œidœ:œParseData-qtEJgœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
"source": "URL-9mY8k",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-9mY8kœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
"target": "ParseData-qtEJg",
"targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-qtEJgœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
"id": "reactflow__edge-URL-76lwY{œdataTypeœ:œURLœ,œidœ:œURL-76lwYœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-jYhXf{œfieldNameœ:œdataœ,œidœ:œParseData-jYhXfœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
"source": "URL-76lwY",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-76lwYœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
"target": "ParseData-jYhXf",
"targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-jYhXfœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "ParseData",
"id": "ParseData-qtEJg",
"id": "ParseData-jYhXf",
"name": "text",
"output_types": [
"Message"
@ -40,7 +40,7 @@
},
"targetHandle": {
"fieldName": "references",
"id": "Prompt-LvBLt",
"id": "Prompt-ABI8S",
"inputTypes": [
"Message",
"Text"
@ -48,18 +48,18 @@
"type": "str"
}
},
"id": "reactflow__edge-ParseData-qtEJg{œdataTypeœ:œParseDataœ,œidœ:œParseData-qtEJgœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-LvBLt{œfieldNameœ:œreferencesœ,œidœ:œPrompt-LvBLtœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ParseData-qtEJg",
"sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-qtEJgœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-LvBLt",
"targetHandle": "{œfieldNameœ: œreferencesœ, œidœ: œPrompt-LvBLtœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ParseData-jYhXf{œdataTypeœ:œParseDataœ,œidœ:œParseData-jYhXfœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-ABI8S{œfieldNameœ:œreferencesœ,œidœ:œPrompt-ABI8Sœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ParseData-jYhXf",
"sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-jYhXfœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-ABI8S",
"targetHandle": "{œfieldNameœ: œreferencesœ, œidœ: œPrompt-ABI8Sœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "TextInput",
"id": "TextInput-uN09a",
"id": "TextInput-jiXJB",
"name": "text",
"output_types": [
"Message"
@ -67,7 +67,7 @@
},
"targetHandle": {
"fieldName": "instructions",
"id": "Prompt-LvBLt",
"id": "Prompt-ABI8S",
"inputTypes": [
"Message",
"Text"
@ -75,18 +75,18 @@
"type": "str"
}
},
"id": "reactflow__edge-TextInput-uN09a{œdataTypeœ:œTextInputœ,œidœ:œTextInput-uN09aœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-LvBLt{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-LvBLtœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "TextInput-uN09a",
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-uN09aœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-LvBLt",
"targetHandle": "{œfieldNameœ: œinstructionsœ, œidœ: œPrompt-LvBLtœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-TextInput-jiXJB{œdataTypeœ:œTextInputœ,œidœ:œTextInput-jiXJBœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-ABI8S{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-ABI8Sœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "TextInput-jiXJB",
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-jiXJBœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-ABI8S",
"targetHandle": "{œfieldNameœ: œinstructionsœ, œidœ: œPrompt-ABI8Sœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-LvBLt",
"id": "Prompt-ABI8S",
"name": "prompt",
"output_types": [
"Message"
@ -94,25 +94,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-5Kl3e",
"id": "OpenAIModel-JBO2p",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-LvBLt{œdataTypeœ:œPromptœ,œidœ:œPrompt-LvBLtœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-5Kl3e{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-5Kl3eœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-LvBLt",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-LvBLtœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-5Kl3e",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-5Kl3eœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Prompt-ABI8S{œdataTypeœ:œPromptœ,œidœ:œPrompt-ABI8Sœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-JBO2p{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-JBO2pœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-ABI8S",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-ABI8Sœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-JBO2p",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-JBO2pœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-5Kl3e",
"id": "OpenAIModel-JBO2p",
"name": "text_output",
"output_types": [
"Message"
@ -120,18 +120,18 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-HyN2e",
"id": "ChatOutput-uaX6T",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-5Kl3e{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-5Kl3eœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-HyN2e{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HyN2eœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-5Kl3e",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-5Kl3eœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-HyN2e",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-HyN2eœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-OpenAIModel-JBO2p{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-JBO2pœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-uaX6T{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-uaX6Tœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-JBO2p",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-JBO2pœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-uaX6T",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-uaX6Tœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
}
],
"nodes": [
@ -139,7 +139,7 @@
"data": {
"description": "Fetch content from one or more URLs.",
"display_name": "URL",
"id": "URL-9mY8k",
"id": "URL-76lwY",
"node": {
"base_classes": [
"Data"
@ -220,7 +220,7 @@
},
"dragging": false,
"height": 359,
"id": "URL-9mY8k",
"id": "URL-76lwY",
"position": {
"x": 220.79156431407534,
"y": 498.8186168722667
@ -237,7 +237,7 @@
"data": {
"description": "Convert Data into plain text following a specified template.",
"display_name": "Parse Data",
"id": "ParseData-qtEJg",
"id": "ParseData-jYhXf",
"node": {
"base_classes": [
"Message"
@ -353,7 +353,7 @@
},
"dragging": false,
"height": 385,
"id": "ParseData-qtEJg",
"id": "ParseData-jYhXf",
"position": {
"x": 754.3607306709101,
"y": 736.8516961537598
@ -370,7 +370,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-LvBLt",
"id": "Prompt-ABI8S",
"node": {
"base_classes": [
"Message"
@ -497,7 +497,7 @@
},
"dragging": false,
"height": 517,
"id": "Prompt-LvBLt",
"id": "Prompt-ABI8S",
"position": {
"x": 1368.0633591447076,
"y": 467.19448061224284
@ -514,7 +514,7 @@
"data": {
"description": "Get text inputs from the Playground.",
"display_name": "Instructions",
"id": "TextInput-uN09a",
"id": "TextInput-jiXJB",
"node": {
"base_classes": [
"Message"
@ -592,7 +592,7 @@
},
"dragging": false,
"height": 309,
"id": "TextInput-uN09a",
"id": "TextInput-jiXJB",
"position": {
"x": 743.7338453293725,
"y": 301.58775454952183
@ -609,7 +609,7 @@
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-HyN2e",
"id": "ChatOutput-uaX6T",
"node": {
"base_classes": [
"Message"
@ -623,6 +623,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
@ -663,7 +664,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"data_template": {
"advanced": true,
@ -762,6 +763,21 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
@ -769,7 +785,7 @@
},
"dragging": false,
"height": 309,
"id": "ChatOutput-HyN2e",
"id": "ChatOutput-uaX6T",
"position": {
"x": 2449.3489426461606,
"y": 571.2449700910389
@ -786,7 +802,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-5Kl3e",
"id": "OpenAIModel-JBO2p",
"node": {
"base_classes": [
"LanguageModel",
@ -1062,7 +1078,7 @@
},
"dragging": false,
"height": 623,
"id": "OpenAIModel-5Kl3e",
"id": "OpenAIModel-JBO2p",
"position": {
"x": 1950.3830456413473,
"y": 380.8161704718418
@ -1077,15 +1093,15 @@
}
],
"viewport": {
"x": 13.218836373936256,
"y": 51.81084733415963,
"zoom": 0.3400188154942784
"x": -52.959712994147594,
"y": 41.95510708899229,
"zoom": 0.5873729194514925
}
},
"description": "This flow can be used to create a blog post following instructions from the user, using two other blogs as reference.",
"endpoint_name": null,
"id": "5572261c-afd4-41d1-971e-12b3b7577a24",
"id": "6b576678-66cd-4d6e-ab40-af1104f02c37",
"is_component": false,
"last_tested_version": "1.0.7",
"last_tested_version": "1.0.9",
"name": "Blog Writer"
}

140
src/backend/base/langflow/initial_setup/starter_projects/Document QA.json
View file

@ -6,7 +6,7 @@
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-0DUC7",
"id": "ChatInput-Emi4q",
"name": "message",
"output_types": [
"Message"
@ -14,7 +14,7 @@
},
"targetHandle": {
"fieldName": "Question",
"id": "Prompt-LciEH",
"id": "Prompt-n8yRL",
"inputTypes": [
"Message",
"Text"
@ -22,18 +22,18 @@
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-0DUC7{œdataTypeœ:œChatInputœ,œidœ:œChatInput-0DUC7œ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-LciEH{œfieldNameœ:œQuestionœ,œidœ:œPrompt-LciEHœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-0DUC7",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-0DUC7œ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-LciEH",
"targetHandle": "{œfieldNameœ: œQuestionœ, œidœ: œPrompt-LciEHœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ChatInput-Emi4q{œdataTypeœ:œChatInputœ,œidœ:œChatInput-Emi4qœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-n8yRL{œfieldNameœ:œQuestionœ,œidœ:œPrompt-n8yRLœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-Emi4q",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-Emi4qœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-n8yRL",
"targetHandle": "{œfieldNameœ: œQuestionœ, œidœ: œPrompt-n8yRLœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-LciEH",
"id": "Prompt-n8yRL",
"name": "prompt",
"output_types": [
"Message"
@ -41,25 +41,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-ip5dm",
"id": "OpenAIModel-1hwZ2",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-LciEH{œdataTypeœ:œPromptœ,œidœ:œPrompt-LciEHœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-ip5dm{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-ip5dmœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-LciEH",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-LciEHœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-ip5dm",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-ip5dmœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Prompt-n8yRL{œdataTypeœ:œPromptœ,œidœ:œPrompt-n8yRLœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-1hwZ2{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-1hwZ2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-n8yRL",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-n8yRLœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-1hwZ2",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-1hwZ2œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-ip5dm",
"id": "OpenAIModel-1hwZ2",
"name": "text_output",
"output_types": [
"Message"
@ -67,25 +67,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-IP9p0",
"id": "ChatOutput-sD0lp",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-ip5dm{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-ip5dmœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-IP9p0{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-IP9p0œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-ip5dm",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-ip5dmœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-IP9p0",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-IP9p0œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-OpenAIModel-1hwZ2{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-1hwZ2œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-sD0lp{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-sD0lpœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-1hwZ2",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-1hwZ2œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-sD0lp",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-sD0lpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "ParseData",
"id": "ParseData-FchNf",
"id": "ParseData-qYLes",
"name": "text",
"output_types": [
"Message"
@ -93,7 +93,7 @@
},
"targetHandle": {
"fieldName": "Document",
"id": "Prompt-LciEH",
"id": "Prompt-n8yRL",
"inputTypes": [
"Message",
"Text"
@ -101,18 +101,18 @@
"type": "str"
}
},
"id": "reactflow__edge-ParseData-FchNf{œdataTypeœ:œParseDataœ,œidœ:œParseData-FchNfœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-LciEH{œfieldNameœ:œDocumentœ,œidœ:œPrompt-LciEHœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ParseData-FchNf",
"sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-FchNfœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-LciEH",
"targetHandle": "{œfieldNameœ: œDocumentœ, œidœ: œPrompt-LciEHœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ParseData-qYLes{œdataTypeœ:œParseDataœ,œidœ:œParseData-qYLesœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-n8yRL{œfieldNameœ:œDocumentœ,œidœ:œPrompt-n8yRLœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ParseData-qYLes",
"sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-qYLesœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-n8yRL",
"targetHandle": "{œfieldNameœ: œDocumentœ, œidœ: œPrompt-n8yRLœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "File",
"id": "File-2kzl4",
"id": "File-0oa6O",
"name": "data",
"output_types": [
"Data"
@ -120,18 +120,18 @@
},
"targetHandle": {
"fieldName": "data",
"id": "ParseData-FchNf",
"id": "ParseData-qYLes",
"inputTypes": [
"Data"
],
"type": "other"
}
},
"id": "reactflow__edge-File-2kzl4{œdataTypeœ:œFileœ,œidœ:œFile-2kzl4œ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-FchNf{œfieldNameœ:œdataœ,œidœ:œParseData-FchNfœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
"source": "File-2kzl4",
"sourceHandle": "{œdataTypeœ: œFileœ, œidœ: œFile-2kzl4œ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
"target": "ParseData-FchNf",
"targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-FchNfœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
"id": "reactflow__edge-File-0oa6O{œdataTypeœ:œFileœ,œidœ:œFile-0oa6Oœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-qYLes{œfieldNameœ:œdataœ,œidœ:œParseData-qYLesœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}",
"source": "File-0oa6O",
"sourceHandle": "{œdataTypeœ: œFileœ, œidœ: œFile-0oa6Oœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
"target": "ParseData-qYLes",
"targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-qYLesœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}"
}
],
"nodes": [
@ -139,7 +139,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-LciEH",
"id": "Prompt-n8yRL",
"node": {
"base_classes": [
"Message"
@ -266,7 +266,7 @@
},
"dragging": false,
"height": 517,
"id": "Prompt-LciEH",
"id": "Prompt-n8yRL",
"position": {
"x": 637.3518652087848,
"y": 47.191730368560215
@ -283,7 +283,7 @@
"data": {
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"id": "ChatInput-0DUC7",
"id": "ChatInput-Emi4q",
"node": {
"base_classes": [
"Message"
@ -297,6 +297,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
@ -337,7 +338,7 @@
"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.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"files": {
"advanced": true,
@ -458,6 +459,21 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
@ -465,7 +481,7 @@
},
"dragging": false,
"height": 309,
"id": "ChatInput-0DUC7",
"id": "ChatInput-Emi4q",
"position": {
"x": 50.08709924122684,
"y": 320.88186720121615
@ -482,7 +498,7 @@
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-IP9p0",
"id": "ChatOutput-sD0lp",
"node": {
"base_classes": [
"Message"
@ -496,6 +512,7 @@
"edited": false,
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
@ -536,7 +553,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"data_template": {
"advanced": true,
@ -635,6 +652,21 @@
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"store_message": {
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
"list": false,
"name": "store_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
}
}
},
@ -642,7 +674,7 @@
},
"dragging": false,
"height": 309,
"id": "ChatOutput-IP9p0",
"id": "ChatOutput-sD0lp",
"position": {
"x": 1831.1359796346408,
"y": 139.5174517327903
@ -659,7 +691,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-ip5dm",
"id": "OpenAIModel-1hwZ2",
"node": {
"base_classes": [
"LanguageModel",
@ -935,7 +967,7 @@
},
"dragging": false,
"height": 623,
"id": "OpenAIModel-ip5dm",
"id": "OpenAIModel-1hwZ2",
"position": {
"x": 1264.0039093582332,
"y": -67.93731748926709
@ -952,7 +984,7 @@
"data": {
"description": "Convert Data into plain text following a specified template.",
"display_name": "Parse Data",
"id": "ParseData-FchNf",
"id": "ParseData-qYLes",
"node": {
"base_classes": [
"Message"
@ -1068,7 +1100,7 @@
},
"dragging": false,
"height": 385,
"id": "ParseData-FchNf",
"id": "ParseData-qYLes",
"position": {
"x": 87.26129917199853,
"y": -181.46350622708565
@ -1085,7 +1117,7 @@
"data": {
"description": "A generic file loader.",
"display_name": "File",
"id": "File-2kzl4",
"id": "File-0oa6O",
"node": {
"base_classes": [
"Data"
@ -1162,7 +1194,7 @@
"ts",
"tsx"
],
"file_path": "",
"file_path": "049e2133-b45d-44a3-906a-1e8be93d9d7b/Prompt Engineering Guide 3ff66c517bff423c863bbb1c0eb21be8.md",
"info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
"list": false,
"name": "path",
@ -1195,7 +1227,7 @@
},
"dragging": false,
"height": 301,
"id": "File-2kzl4",
"id": "File-0oa6O",
"position": {
"x": -462.90407701896845,
"y": -316.82165433756165
@ -1210,15 +1242,15 @@
}
],
"viewport": {
"x": 188.5057346133326,
"y": 210.35779755360858,
"x": 338.5057346133326,
"y": 271.3577975536086,
"zoom": 0.36856730432277524
}
},
"description": "This flow integrates PDF reading with a language model to answer document-specific questions. Ideal for small-scale texts, it facilitates direct queries with immediate insights.",
"endpoint_name": null,
"id": "cb65817a-dfdf-4df2-9bb0-16654bf3f3b3",
"id": "6fb449a7-563c-446e-82d2-36f3defb9a48",
"is_component": false,
"last_tested_version": "1.0.7",
"last_tested_version": "1.0.9",
"name": "Document QA"
}

96
src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json
View file

@ -6,7 +6,7 @@
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-NFUUk",
"id": "ChatInput-6yuNd",
"name": "message",
"output_types": [
"Message"
@ -14,7 +14,7 @@
},
"targetHandle": {
"fieldName": "user_message",
"id": "Prompt-qeJau",
"id": "Prompt-tifRl",
"inputTypes": [
"Message",
"Text"
@ -22,18 +22,18 @@
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-NFUUk{œdataTypeœ:œChatInputœ,œidœ:œChatInput-NFUUkœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-qeJau{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-qeJauœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-NFUUk",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-NFUUkœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-qeJau",
"targetHandle": "{œfieldNameœ: œuser_messageœ, œidœ: œPrompt-qeJauœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-ChatInput-6yuNd{œdataTypeœ:œChatInputœ,œidœ:œChatInput-6yuNdœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-tifRl{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-tifRlœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-6yuNd",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-6yuNdœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-tifRl",
"targetHandle": "{œfieldNameœ: œuser_messageœ, œidœ: œPrompt-tifRlœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-qeJau",
"id": "Prompt-tifRl",
"name": "prompt",
"output_types": [
"Message"
@ -41,25 +41,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-gGnwp",
"id": "OpenAIModel-ZIeE0",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-qeJau{œdataTypeœ:œPromptœ,œidœ:œPrompt-qeJauœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-gGnwp{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gGnwpœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-qeJau",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-qeJauœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-gGnwp",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-gGnwpœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Prompt-tifRl{œdataTypeœ:œPromptœ,œidœ:œPrompt-tifRlœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-ZIeE0{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-ZIeE0œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-tifRl",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-tifRlœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "OpenAIModel-ZIeE0",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-ZIeE0œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "OpenAIModel",
"id": "OpenAIModel-gGnwp",
"id": "OpenAIModel-ZIeE0",
"name": "text_output",
"output_types": [
"Message"
@ -67,25 +67,25 @@
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-yJml1",
"id": "ChatOutput-c3v9q",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-gGnwp{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gGnwpœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-yJml1{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-yJml1œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-gGnwp",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-gGnwpœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-yJml1",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-yJml1œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-OpenAIModel-ZIeE0{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-ZIeE0œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-c3v9q{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-c3v9qœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-ZIeE0",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-ZIeE0œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-c3v9q",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-c3v9qœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "",
"data": {
"sourceHandle": {
"dataType": "Memory",
"id": "Memory-1cBNz",
"id": "Memory-6s5g1",
"name": "messages_text",
"output_types": [
"Message"
@ -93,7 +93,7 @@
},
"targetHandle": {
"fieldName": "context",
"id": "Prompt-qeJau",
"id": "Prompt-tifRl",
"inputTypes": [
"Message",
"Text"
@ -101,11 +101,11 @@
"type": "str"
}
},
"id": "reactflow__edge-Memory-1cBNz{œdataTypeœ:œMemoryœ,œidœ:œMemory-1cBNzœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-qeJau{œfieldNameœ:œcontextœ,œidœ:œPrompt-qeJauœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "Memory-1cBNz",
"sourceHandle": "{œdataTypeœ: œMemoryœ, œidœ: œMemory-1cBNzœ, œnameœ: œmessages_textœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-qeJau",
"targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-qeJauœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
"id": "reactflow__edge-Memory-6s5g1{œdataTypeœ:œMemoryœ,œidœ:œMemory-6s5g1œ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-tifRl{œfieldNameœ:œcontextœ,œidœ:œPrompt-tifRlœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "Memory-6s5g1",
"sourceHandle": "{œdataTypeœ: œMemoryœ, œidœ: œMemory-6s5g1œ, œnameœ: œmessages_textœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-tifRl",
"targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-tifRlœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
}
],
"nodes": [
@ -113,7 +113,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-qeJau",
"id": "Prompt-tifRl",
"node": {
"base_classes": [
"Message"
@ -240,7 +240,7 @@
},
"dragging": false,
"height": 517,
"id": "Prompt-qeJau",
"id": "Prompt-tifRl",
"position": {
"x": 1880.8227904110583,
"y": 625.8049209882275
@ -257,7 +257,7 @@
"data": {
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"id": "ChatInput-NFUUk",
"id": "ChatInput-6yuNd",
"node": {
"base_classes": [
"Message"
@ -312,7 +312,7 @@
"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 import HandleInput, BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"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=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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 ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\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 )\n\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"files": {
"advanced": true,
@ -435,7 +435,7 @@
"value": ""
},
"store_message": {
"advanced": false,
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
@ -454,8 +454,8 @@
"type": "ChatInput"
},
"dragging": false,
"height": 385,
"id": "ChatInput-NFUUk",
"height": 309,
"id": "ChatInput-6yuNd",
"position": {
"x": 1275.9262193671882,
"y": 836.1228056896347
@ -472,7 +472,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-gGnwp",
"id": "OpenAIModel-ZIeE0",
"node": {
"base_classes": [
"LanguageModel",
@ -748,7 +748,7 @@
},
"dragging": false,
"height": 623,
"id": "OpenAIModel-gGnwp",
"id": "OpenAIModel-ZIeE0",
"position": {
"x": 2468.968379487559,
"y": 560.0689522326683
@ -757,7 +757,7 @@
"x": 2468.968379487559,
"y": 560.0689522326683
},
"selected": true,
"selected": false,
"type": "genericNode",
"width": 384
},
@ -765,7 +765,7 @@
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-yJml1",
"id": "ChatOutput-c3v9q",
"node": {
"base_classes": [
"Message"
@ -820,7 +820,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import HandleInput, BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"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=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", 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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n"
},
"data_template": {
"advanced": true,
@ -921,7 +921,7 @@
"value": ""
},
"store_message": {
"advanced": false,
"advanced": true,
"display_name": "Store Messages",
"dynamic": false,
"info": "Store the message in the history.",
@ -940,7 +940,7 @@
"type": "ChatOutput"
},
"height": 385,
"id": "ChatOutput-yJml1",
"id": "ChatOutput-c3v9q",
"position": {
"x": 3083.1710516244116,
"y": 701.521688846004
@ -953,7 +953,7 @@
"data": {
"description": "Retrieves stored chat messages from Langflow tables or an external memory.",
"display_name": "Chat Memory",
"id": "Memory-1cBNz",
"id": "Memory-6s5g1",
"node": {
"base_classes": [
"BaseChatMemory",
@ -1033,7 +1033,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import List, Sequence\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.inputs import HandleInput\nfrom langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import get_messages, LCBuiltinChatMemory\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\nfrom langflow.field_typing import BaseChatMemory\nfrom langchain.memory import ConversationBufferMemory\n\n\nclass MemoryComponent(Component):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages from Langflow tables or an external memory.\"\n icon = \"message-square-more\"\n name = \"Memory\"\n\n inputs = [\n HandleInput(\n name=\"memory\",\n display_name=\"External Memory\",\n input_types=[\"BaseChatMessageHistory\"],\n info=\"Retrieve messages from an external memory. If empty, it will use the Langflow tables.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\", \"Machine and User\"],\n value=\"Machine and 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 advanced=True,\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 ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"Session ID of the chat history.\",\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 ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.\",\n value=\"{sender_name}: {text}\",\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Messages (Data)\", name=\"messages\", method=\"retrieve_messages\"),\n Output(display_name=\"Messages (Text)\", name=\"messages_text\", method=\"retrieve_messages_as_text\"),\n Output(display_name=\"Memory\", name=\"lc_memory\", method=\"build_lc_memory\"),\n ]\n\n 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:\n # override session_id\n self.memory.session_id = session_id\n\n stored = self.memory.messages\n if sender:\n expected_type = \"Machine\" if sender == \"Machine\" else \"User\"\n stored = [m for m in stored if m.type == expected_type]\n if order == \"ASC\":\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 else:\n stored = get_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 stored\n\n def retrieve_messages_as_text(self) -> Message:\n stored_text = data_to_text(self.template, self.retrieve_messages())\n self.status = stored_text\n return Message(text=stored_text)\n\n def build_lc_memory(self) -> BaseChatMemory:\n if self.memory:\n chat_memory = self.memory\n else:\n chat_memory = LCBuiltinChatMemory(flow_id=self.graph.flow_id, session_id=self.session_id)\n return ConversationBufferMemory(chat_memory=chat_memory)"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.inputs import HandleInput\nfrom langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import get_messages, LCBuiltinChatMemory\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\nfrom langflow.field_typing import BaseChatMemory\nfrom langchain.memory import ConversationBufferMemory\n\n\nclass MemoryComponent(Component):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages from Langflow tables or an external memory.\"\n icon = \"message-square-more\"\n name = \"Memory\"\n\n inputs = [\n HandleInput(\n name=\"memory\",\n display_name=\"External Memory\",\n input_types=[\"BaseChatMessageHistory\"],\n info=\"Retrieve messages from an external memory. If empty, it will use the Langflow tables.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\", \"Machine and User\"],\n value=\"Machine and 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 advanced=True,\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 ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"Session ID of the chat history.\",\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 ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.\",\n value=\"{sender_name}: {text}\",\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Messages (Data)\", name=\"messages\", method=\"retrieve_messages\"),\n Output(display_name=\"Messages (Text)\", name=\"messages_text\", method=\"retrieve_messages_as_text\"),\n Output(display_name=\"Memory\", name=\"lc_memory\", method=\"build_lc_memory\"),\n ]\n\n 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:\n # override session_id\n self.memory.session_id = session_id\n\n stored = self.memory.messages\n if sender:\n expected_type = \"Machine\" if sender == \"Machine\" else \"User\"\n stored = [m for m in stored if m.type == expected_type]\n if order == \"ASC\":\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 else:\n stored = get_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 stored\n\n def retrieve_messages_as_text(self) -> Message:\n stored_text = data_to_text(self.template, self.retrieve_messages())\n self.status = stored_text\n return Message(text=stored_text)\n\n def build_lc_memory(self) -> BaseChatMemory:\n if self.memory:\n chat_memory = self.memory\n else:\n chat_memory = LCBuiltinChatMemory(flow_id=self.graph.flow_id, session_id=self.session_id)\n return ConversationBufferMemory(chat_memory=chat_memory)\n"
},
"memory": {
"advanced": false,
@ -1172,7 +1172,7 @@
},
"dragging": false,
"height": 387,
"id": "Memory-1cBNz",
"id": "Memory-6s5g1",
"position": {
"x": 1301.98330242754,
"y": 422.33865605652574
@ -1194,8 +1194,8 @@
},
"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": "9570a502-34bb-44bf-aa15-9f92e7d10efe",
"id": "ff6810d0-1d7b-4455-9b35-c9f54f7d63b6",
"is_component": false,
"last_tested_version": "1.0.7",
"name": "memory_good"
"last_tested_version": "1.0.9",
"name": "Memory Chatbot"
}

307
src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json
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