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update json formatting

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italojohnny 2024-05-28 15:55:09 -03:00
commit 0bb19d8933
6 changed files with 9405 additions and 8540 deletions
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152
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
View file

@ -45,7 +45,9 @@
"name": "template",
"display_name": "Template",
"advanced": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"dynamic": false,
"info": "",
"load_from_db": false,
@ -84,14 +86,22 @@
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"base_classes": ["object", "str", "Text"],
"base_classes": [
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"Text"
],
"name": "",
"display_name": "Prompt",
"documentation": "",
"custom_fields": {
"template": ["user_input"]
"template": [
"user_input"
]
},
"output_types": ["Text"],
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"Text"
],
"full_path": null,
"field_formatters": {},
"frozen": false,
@ -140,7 +150,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"code": {
"type": "code",
@ -223,7 +235,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"openai_api_base": {
"type": "str",
@ -242,7 +256,9 @@
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
"load_from_db": false,
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"input_types": ["Text"]
"input_types": [
"Text"
]
},
"openai_api_key": {
"type": "str",
@ -261,7 +277,9 @@
"info": "The OpenAI API Key to use for the OpenAI model.",
"load_from_db": true,
"title_case": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"value": "OPENAI_API_KEY"
},
"stream": {
@ -300,7 +318,9 @@
"info": "System message to pass to the model.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"temperature": {
"type": "float",
@ -331,7 +351,11 @@
},
"description": "Generates text using OpenAI LLMs.",
"icon": "OpenAI",
"base_classes": ["object", "Text", "str"],
"base_classes": [
"object",
"Text",
"str"
],
"display_name": "OpenAI",
"documentation": "",
"custom_fields": {
@ -345,7 +369,9 @@
"stream": null,
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},
"output_types": ["Text"],
"output_types": [
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@ -392,7 +418,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -416,7 +442,9 @@
"name": "input_value",
"display_name": "Message",
"advanced": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"dynamic": false,
"info": "",
"load_from_db": false,
@ -440,7 +468,9 @@
"info": "In case of Message being a Record, this template will be used to convert it to text.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"return_record": {
"type": "bool",
@ -472,7 +502,10 @@
"fileTypes": [],
"file_path": "",
"password": false,
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
@ -480,7 +513,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"sender_name": {
"type": "str",
@ -500,7 +535,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"session_id": {
"type": "str",
@ -519,13 +556,20 @@
"info": "If provided, the message will be stored in the memory.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": ["Record", "Text", "str", "object"],
"base_classes": [
"Record",
"Text",
"str",
"object"
],
"display_name": "Chat Output",
"documentation": "",
"custom_fields": {
@ -536,7 +580,10 @@
"return_record": null,
"record_template": null
},
"output_types": ["Text", "Record"],
"output_types": [
"Text",
"Record"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -571,7 +618,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -632,7 +679,10 @@
"fileTypes": [],
"file_path": "",
"password": false,
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
@ -640,7 +690,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"sender_name": {
"type": "str",
@ -660,7 +712,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"session_id": {
"type": "str",
@ -679,13 +733,20 @@
"info": "If provided, the message will be stored in the memory.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": ["object", "Record", "str", "Text"],
"base_classes": [
"object",
"Record",
"str",
"Text"
],
"display_name": "Chat Input",
"documentation": "",
"custom_fields": {
@ -695,7 +756,10 @@
"session_id": null,
"return_record": null
},
"output_types": ["Text", "Record"],
"output_types": [
"Text",
"Record"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -723,11 +787,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-njtka",
"inputTypes": ["Text"],
"inputTypes": [
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "Text", "str"],
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-k39HS"
}
@ -747,11 +817,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-k39HS",
"inputTypes": ["Text"],
"inputTypes": [
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "str", "Text"],
"baseClasses": [
"object",
"str",
"Text"
],
"dataType": "Prompt",
"id": "Prompt-uxBqP"
}
@ -771,11 +847,21 @@
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-uxBqP",
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "Record", "str", "Text"],
"baseClasses": [
"object",
"Record",
"str",
"Text"
],
"dataType": "ChatInput",
"id": "ChatInput-P3fgL"
}

191
src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
View file

@ -45,7 +45,9 @@
"name": "template",
"display_name": "Template",
"advanced": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"dynamic": false,
"info": "",
"load_from_db": false,
@ -136,14 +138,24 @@
"is_input": null,
"is_output": null,
"is_composition": null,
"base_classes": ["object", "Text", "str"],
"base_classes": [
"object",
"Text",
"str"
],
"name": "",
"display_name": "Prompt",
"documentation": "",
"custom_fields": {
"template": ["reference_1", "reference_2", "instructions"]
"template": [
"reference_1",
"reference_2",
"instructions"
]
},
"output_types": ["Text"],
"output_types": [
"Text"
],
"full_path": null,
"field_formatters": {},
"frozen": false,
@ -210,7 +222,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"value": [
"https://www.promptingguide.ai/techniques/prompt_chaining"
]
@ -219,13 +233,17 @@
},
"description": "Fetch content from one or more URLs.",
"icon": "layout-template",
"base_classes": ["Record"],
"base_classes": [
"Record"
],
"display_name": "URL",
"documentation": "",
"custom_fields": {
"urls": null
},
"output_types": ["Record"],
"output_types": [
"Record"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -260,7 +278,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -284,7 +302,9 @@
"name": "input_value",
"display_name": "Message",
"advanced": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"dynamic": false,
"info": "",
"load_from_db": false,
@ -308,7 +328,9 @@
"info": "In case of Message being a Record, this template will be used to convert it to text.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"return_record": {
"type": "bool",
@ -340,7 +362,10 @@
"fileTypes": [],
"file_path": "",
"password": false,
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
@ -348,7 +373,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"sender_name": {
"type": "str",
@ -368,7 +395,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"session_id": {
"type": "str",
@ -387,13 +416,20 @@
"info": "If provided, the message will be stored in the memory.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": ["Text", "Record", "object", "str"],
"base_classes": [
"Text",
"Record",
"object",
"str"
],
"display_name": "Chat Output",
"documentation": "",
"custom_fields": {
@ -404,7 +440,10 @@
"return_record": null,
"record_template": null
},
"output_types": ["Text", "Record"],
"output_types": [
"Text",
"Record"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -444,7 +483,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"code": {
"type": "code",
@ -527,7 +568,9 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"openai_api_base": {
"type": "str",
@ -546,7 +589,9 @@
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"openai_api_key": {
"type": "str",
@ -565,7 +610,9 @@
"info": "The OpenAI API Key to use for the OpenAI model.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"value": "OPENAI_API_KEY"
},
"stream": {
@ -604,7 +651,9 @@
"info": "System message to pass to the model.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"temperature": {
"type": "float",
@ -635,7 +684,11 @@
},
"description": "Generates text using OpenAI LLMs.",
"icon": "OpenAI",
"base_classes": ["str", "Text", "object"],
"base_classes": [
"str",
"Text",
"object"
],
"display_name": "OpenAI",
"documentation": "",
"custom_fields": {
@ -649,7 +702,9 @@
"stream": null,
"system_message": null
},
"output_types": ["Text"],
"output_types": [
"Text"
],
"field_formatters": {},
"frozen": false,
"field_order": [
@ -722,20 +777,28 @@
"info": "",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"],
"value": ["https://www.promptingguide.ai/introduction/basics"]
"input_types": [
"Text"
],
"value": [
"https://www.promptingguide.ai/introduction/basics"
]
},
"_type": "CustomComponent"
},
"description": "Fetch content from one or more URLs.",
"icon": "layout-template",
"base_classes": ["Record"],
"base_classes": [
"Record"
],
"display_name": "URL",
"documentation": "",
"custom_fields": {
"urls": null
},
"output_types": ["Record"],
"output_types": [
"Record"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -795,7 +858,10 @@
"name": "input_value",
"display_name": "Value",
"advanced": false,
"input_types": ["Record", "Text"],
"input_types": [
"Record",
"Text"
],
"dynamic": false,
"info": "Text or Record to be passed as input.",
"load_from_db": false,
@ -819,20 +885,28 @@
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
]
},
"_type": "CustomComponent"
},
"description": "Get text inputs from the Playground.",
"icon": "type",
"base_classes": ["object", "Text", "str"],
"base_classes": [
"object",
"Text",
"str"
],
"display_name": "Instructions",
"documentation": "",
"custom_fields": {
"input_value": null,
"record_template": null
},
"output_types": ["Text"],
"output_types": [
"Text"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
@ -861,11 +935,18 @@
"targetHandle": {
"fieldName": "reference_2",
"id": "Prompt-Rse03",
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["Record"],
"baseClasses": [
"Record"
],
"dataType": "URL",
"id": "URL-HYPkR"
}
@ -885,11 +966,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-JPlxl",
"inputTypes": ["Text"],
"inputTypes": [
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["str", "Text", "object"],
"baseClasses": [
"str",
"Text",
"object"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-gi29P"
}
@ -909,11 +996,18 @@
"targetHandle": {
"fieldName": "reference_1",
"id": "Prompt-Rse03",
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["Record"],
"baseClasses": [
"Record"
],
"dataType": "URL",
"id": "URL-2cX90"
}
@ -933,11 +1027,20 @@
"targetHandle": {
"fieldName": "instructions",
"id": "Prompt-Rse03",
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "Text", "str"],
"baseClasses": [
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"Text",
"str"
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"dataType": "TextInput",
"id": "TextInput-og8Or"
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"targetHandle": {
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"id": "OpenAIModel-gi29P",
"inputTypes": ["Text"],
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"type": "str"
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"str"
],
"dataType": "Prompt",
"id": "Prompt-Rse03"
}

168
src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
View file

@ -45,7 +45,9 @@
"name": "template",
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"input_types": ["Text"],
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@ -110,14 +112,23 @@
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@ -220,14 +231,18 @@
"_type": "CustomComponent"
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@ -262,7 +277,7 @@
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"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
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@ -323,7 +338,10 @@
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@ -331,7 +349,9 @@
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@ -351,7 +371,9 @@
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@ -370,13 +392,20 @@
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@ -386,7 +415,10 @@
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@ -421,7 +453,7 @@
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"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -445,7 +477,9 @@
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@ -481,7 +515,10 @@
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],
"name": "sender",
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@ -489,7 +526,9 @@
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@ -509,7 +548,9 @@
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@ -528,13 +569,20 @@
"info": "If provided, the message will be stored in the memory.",
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"input_types": ["Text"]
"input_types": [
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},
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},
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],
"display_name": "Chat Output",
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@ -544,7 +592,10 @@
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@ -589,7 +640,9 @@
"info": "",
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"input_types": [
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]
},
"code": {
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@ -672,7 +725,9 @@
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"input_types": [
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]
},
"openai_api_base": {
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@ -691,7 +746,9 @@
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
"load_from_db": false,
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"input_types": [
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]
},
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@ -710,7 +767,9 @@
"info": "The OpenAI API Key to use for the OpenAI model.",
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"input_types": [
"Text"
],
"value": "OPENAI_API_KEY"
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@ -749,7 +808,9 @@
"info": "System message to pass to the model.",
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"Text"
]
},
"temperature": {
"type": "float",
@ -780,7 +841,11 @@
},
"description": "Generates text using OpenAI LLMs.",
"icon": "OpenAI",
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],
"display_name": "OpenAI",
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@ -794,7 +859,9 @@
"stream": null,
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@ -832,11 +899,21 @@
"targetHandle": {
"fieldName": "Question",
"id": "Prompt-tHwPf",
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"dataType": "ChatInput",
"id": "ChatInput-MsSJ9"
}
@ -856,11 +933,18 @@
"targetHandle": {
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"type": "str"
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],
"dataType": "File",
"id": "File-6TEsD"
}
@ -880,11 +964,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-Bt067",
"inputTypes": ["Text"],
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"dataType": "Prompt",
"id": "Prompt-tHwPf"
}
@ -904,11 +994,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-F5Awj",
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"Text"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-Bt067"
}

233
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -22,7 +22,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -83,7 +83,10 @@
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@ -91,7 +94,9 @@
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@ -111,7 +116,9 @@
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@ -130,14 +137,21 @@
"info": "If provided, the message will be stored in the memory.",
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"value": "MySessionID"
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},
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
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@ -147,7 +161,10 @@
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@ -182,7 +199,7 @@
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"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -206,7 +223,9 @@
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@ -242,7 +261,10 @@
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"options": ["Machine", "User"],
"options": [
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"display_name": "Sender Type",
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@ -250,7 +272,9 @@
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@ -270,7 +294,9 @@
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@ -289,14 +315,21 @@
"info": "If provided, the message will be stored in the memory.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"],
"input_types": [
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"value": "MySessionID"
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},
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@ -382,7 +418,10 @@
"fileTypes": [],
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"password": false,
"options": ["Ascending", "Descending"],
"options": [
"Ascending",
"Descending"
],
"name": "order",
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"advanced": true,
@ -390,7 +429,9 @@
"info": "Order of the messages.",
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"input_types": ["Text"]
"input_types": [
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},
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@ -410,7 +451,9 @@
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
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"input_types": ["Text"]
"input_types": [
"Text"
]
},
"sender": {
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@ -423,7 +466,11 @@
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"password": false,
"options": ["Machine", "User", "Machine and User"],
"options": [
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"User",
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],
"name": "sender",
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@ -431,7 +478,9 @@
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@ -450,7 +499,9 @@
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"input_types": [
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},
"session_id": {
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@ -465,7 +516,9 @@
"name": "session_id",
"display_name": "Session ID",
"advanced": false,
"input_types": ["Text"],
"input_types": [
"Text"
],
"dynamic": false,
"info": "Session ID of the chat history.",
"load_from_db": false,
@ -476,7 +529,11 @@
},
"description": "Retrieves stored chat messages given a specific Session ID.",
"icon": "history",
"base_classes": ["str", "Text", "object"],
"base_classes": [
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],
"display_name": "Chat Memory",
"documentation": "",
"custom_fields": {
@ -487,7 +544,9 @@
"order": null,
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@ -549,7 +608,9 @@
"name": "template",
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"info": "",
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@ -614,14 +675,23 @@
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"custom_fields": {
"template": ["context", "user_message"]
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"field_formatters": {},
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@ -670,7 +740,9 @@
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"code": {
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@ -753,7 +825,9 @@
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"input_types": [
"Text"
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},
"openai_api_base": {
"type": "str",
@ -772,7 +846,9 @@
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.",
"load_from_db": false,
"title_case": false,
"input_types": ["Text"]
"input_types": [
"Text"
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},
"openai_api_key": {
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@ -791,7 +867,9 @@
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319
src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
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@ -45,7 +45,9 @@
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"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n",
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"inputTypes": [
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "str", "Text"],
"baseClasses": [
"object",
"str",
"Text"
],
"dataType": "Prompt",
"id": "Prompt-gTNiz"
}
@ -1533,11 +1704,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-XawYB",
"inputTypes": ["Text"],
"inputTypes": [
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["object", "str", "Text"],
"baseClasses": [
"object",
"str",
"Text"
],
"dataType": "Prompt",
"id": "Prompt-gTNiz"
}
@ -1557,11 +1734,17 @@
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-DNmvg",
"inputTypes": ["Text"],
"inputTypes": [
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": ["str", "Text", "object"],
"baseClasses": [
"str",
"Text",
"object"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-XawYB"
}

472
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
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