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Fixed formatting of jsons

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This commit is contained in:
Lucas Oliveira 2024-06-10 08:09:31 -03:00
commit 666815f996
6 changed files with 349 additions and 1222 deletions
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156
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
View file

@ -5,20 +5,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"baseClasses": ["object", "Text", "str"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-k39HS"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-njtka",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -35,22 +29,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-uxBqP"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-k39HS",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -67,24 +53,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Record",
"str",
"Text"
],
"baseClasses": ["object", "Record", "str", "Text"],
"dataType": "ChatInput",
"id": "ChatInput-P3fgL"
},
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-uxBqP",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -105,16 +81,10 @@
"display_name": "Prompt",
"id": "Prompt-uxBqP",
"node": {
"base_classes": [
"object",
"str",
"Text"
],
"base_classes": ["object", "str", "Text"],
"beta": false,
"custom_fields": {
"template": [
"user_input"
]
"template": ["user_input"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -129,9 +99,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"_type": "CustomComponent",
"code": {
@ -159,9 +127,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -225,11 +191,7 @@
"display_name": "OpenAI",
"id": "OpenAIModel-k39HS",
"node": {
"base_classes": [
"object",
"Text",
"str"
],
"base_classes": ["object", "Text", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -259,9 +221,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -280,7 +240,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -289,11 +249,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -350,9 +306,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -379,9 +333,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -400,9 +352,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": true,
"multiline": false,
@ -441,9 +391,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -503,12 +451,7 @@
"data": {
"id": "ChatOutput-njtka",
"node": {
"base_classes": [
"Record",
"Text",
"str",
"object"
],
"base_classes": ["Record", "Text", "str", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -525,9 +468,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -550,14 +491,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -576,17 +515,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -602,9 +536,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -624,9 +556,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -661,12 +591,7 @@
"data": {
"id": "ChatInput-P3fgL",
"node": {
"base_classes": [
"object",
"Record",
"str",
"Text"
],
"base_classes": ["object", "Record", "str", "Text"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -682,9 +607,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatInput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -703,11 +626,11 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Text\",\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
@ -732,17 +655,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -758,9 +676,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -780,9 +696,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -825,4 +739,4 @@
"is_component": false,
"last_tested_version": "1.0.0a4",
"name": "Basic Prompting (Hello, World)"
}
}

194
src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
View file

@ -5,21 +5,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Record"
],
"baseClasses": ["Record"],
"dataType": "URL",
"id": "URL-HYPkR"
},
"targetHandle": {
"fieldName": "reference_2",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -37,20 +30,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-gi29P"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-JPlxl",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -67,21 +54,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Record"
],
"baseClasses": ["Record"],
"dataType": "URL",
"id": "URL-2cX90"
},
"targetHandle": {
"fieldName": "reference_1",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -98,23 +78,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"baseClasses": ["object", "Text", "str"],
"dataType": "TextInput",
"id": "TextInput-og8Or"
},
"targetHandle": {
"fieldName": "instructions",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -131,22 +102,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"baseClasses": ["object", "Text", "str"],
"dataType": "Prompt",
"id": "Prompt-Rse03"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-gi29P",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -168,18 +131,10 @@
"display_name": "Prompt",
"id": "Prompt-Rse03",
"node": {
"base_classes": [
"object",
"Text",
"str"
],
"base_classes": ["object", "Text", "str"],
"beta": false,
"custom_fields": {
"template": [
"reference_1",
"reference_2",
"instructions"
]
"template": ["reference_1", "reference_2", "instructions"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -194,9 +149,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"_type": "CustomComponent",
"code": {
@ -302,9 +255,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -340,9 +291,7 @@
"data": {
"id": "URL-HYPkR",
"node": {
"base_classes": [
"Record"
],
"base_classes": ["Record"],
"beta": false,
"custom_fields": {
"urls": null
@ -354,9 +303,7 @@
"field_order": [],
"frozen": false,
"icon": "layout-template",
"output_types": [
"Record"
],
"output_types": ["Record"],
"template": {
"_type": "CustomComponent",
"code": {
@ -384,9 +331,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -424,12 +369,7 @@
"data": {
"id": "ChatOutput-JPlxl",
"node": {
"base_classes": [
"Text",
"Record",
"object",
"str"
],
"base_classes": ["Text", "Record", "object", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -446,9 +386,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -471,14 +409,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -497,17 +433,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -523,9 +454,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -545,9 +474,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -577,11 +504,7 @@
"data": {
"id": "OpenAIModel-gi29P",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -611,9 +534,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -632,7 +553,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -641,11 +562,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -702,9 +619,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -731,9 +646,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -752,9 +665,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": true,
"multiline": false,
@ -793,9 +704,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -855,9 +764,7 @@
"data": {
"id": "URL-2cX90",
"node": {
"base_classes": [
"Record"
],
"base_classes": ["Record"],
"beta": false,
"custom_fields": {
"urls": null
@ -869,9 +776,7 @@
"field_order": [],
"frozen": false,
"icon": "layout-template",
"output_types": [
"Record"
],
"output_types": ["Record"],
"template": {
"_type": "CustomComponent",
"code": {
@ -899,9 +804,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -912,9 +815,7 @@
"show": true,
"title_case": false,
"type": "str",
"value": [
"https://www.promptingguide.ai/introduction/basics"
]
"value": ["https://www.promptingguide.ai/introduction/basics"]
}
}
},
@ -939,11 +840,7 @@
"data": {
"id": "TextInput-og8Or",
"node": {
"base_classes": [
"object",
"Text",
"str"
],
"base_classes": ["object", "Text", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -956,9 +853,7 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -986,10 +881,7 @@
"fileTypes": [],
"file_path": "",
"info": "Text or Record to be passed as input.",
"input_types": [
"Record",
"Text"
],
"input_types": ["Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1009,9 +901,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -1055,4 +945,4 @@
"is_component": false,
"last_tested_version": "1.0.0a0",
"name": "Blog Writer"
}
}

176
src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
View file

@ -5,24 +5,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Record",
"Text",
"object"
],
"baseClasses": ["str", "Record", "Text", "object"],
"dataType": "ChatInput",
"id": "ChatInput-MsSJ9"
},
"targetHandle": {
"fieldName": "Question",
"id": "Prompt-tHwPf",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -39,21 +29,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Record"
],
"baseClasses": ["Record"],
"dataType": "File",
"id": "File-6TEsD"
},
"targetHandle": {
"fieldName": "Document",
"id": "Prompt-tHwPf",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -70,22 +53,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-tHwPf"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-Bt067",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -102,20 +77,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-Bt067"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-F5Awj",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -136,17 +105,10 @@
"display_name": "Prompt",
"id": "Prompt-tHwPf",
"node": {
"base_classes": [
"object",
"str",
"Text"
],
"base_classes": ["object", "str", "Text"],
"beta": false,
"custom_fields": {
"template": [
"Document",
"Question"
]
"template": ["Document", "Question"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -161,9 +123,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"Document": {
"advanced": false,
@ -243,9 +203,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -281,9 +239,7 @@
"data": {
"id": "File-6TEsD",
"node": {
"base_classes": [
"Record"
],
"base_classes": ["Record"],
"beta": false,
"custom_fields": {
"path": null,
@ -295,9 +251,7 @@
"field_formatters": {},
"field_order": [],
"frozen": false,
"output_types": [
"Record"
],
"output_types": ["Record"],
"template": {
"_type": "CustomComponent",
"code": {
@ -391,12 +345,7 @@
"data": {
"id": "ChatInput-MsSJ9",
"node": {
"base_classes": [
"str",
"Record",
"Text",
"object"
],
"base_classes": ["str", "Record", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -412,9 +361,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatInput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -433,11 +380,11 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Text\",\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
@ -462,17 +409,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -488,9 +430,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -510,9 +450,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -547,12 +485,7 @@
"data": {
"id": "ChatOutput-F5Awj",
"node": {
"base_classes": [
"str",
"Record",
"Text",
"object"
],
"base_classes": ["str", "Record", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -568,9 +501,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -593,14 +524,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -619,17 +548,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -645,9 +569,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -667,9 +589,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -704,11 +624,7 @@
"data": {
"id": "OpenAIModel-Bt067",
"node": {
"base_classes": [
"object",
"str",
"Text"
],
"base_classes": ["object", "str", "Text"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -738,9 +654,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -759,7 +673,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -768,11 +682,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -829,9 +739,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -858,9 +766,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -879,9 +785,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": true,
"multiline": false,
@ -920,9 +824,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -990,4 +892,4 @@
"is_component": false,
"last_tested_version": "1.0.0a0",
"name": "Document QA"
}
}

241
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -5,23 +5,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "MemoryComponent",
"id": "MemoryComponent-cdA1J"
},
"targetHandle": {
"fieldName": "context",
"id": "Prompt-ODkUx",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -39,24 +30,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Text",
"object",
"Record",
"str"
],
"baseClasses": ["Text", "object", "Record", "str"],
"dataType": "ChatInput",
"id": "ChatInput-t7F8v"
},
"targetHandle": {
"fieldName": "user_message",
"id": "Prompt-ODkUx",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -74,22 +55,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Text",
"str",
"object"
],
"baseClasses": ["Text", "str", "object"],
"dataType": "Prompt",
"id": "Prompt-ODkUx"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-9RykF",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -106,20 +79,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"object",
"Text"
],
"baseClasses": ["str", "object", "Text"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-9RykF"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-P1jEe",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -136,21 +103,14 @@
"className": "stroke-foreground stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "MemoryComponent",
"id": "MemoryComponent-cdA1J"
},
"targetHandle": {
"fieldName": "input_value",
"id": "TextOutput-vrs6T",
"inputTypes": [
"Record",
"Text"
],
"inputTypes": ["Record", "Text"],
"type": "str"
}
},
@ -169,12 +129,7 @@
"data": {
"id": "ChatInput-t7F8v",
"node": {
"base_classes": [
"Text",
"object",
"Record",
"str"
],
"base_classes": ["Text", "object", "Record", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -190,9 +145,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatInput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -211,11 +164,11 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
"value": "from typing import Optional\n\nfrom langflow.base.io.chat import ChatComponent\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\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Text\",\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 ) -> Message:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n )\n"
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
@ -240,17 +193,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -266,9 +214,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -288,9 +234,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -326,12 +270,7 @@
"data": {
"id": "ChatOutput-P1jEe",
"node": {
"base_classes": [
"Text",
"object",
"Record",
"str"
],
"base_classes": ["Text", "object", "Record", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -347,9 +286,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -372,14 +309,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -398,17 +333,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -424,9 +354,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -446,9 +374,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -486,11 +412,7 @@
"display_name": "Chat Memory",
"id": "MemoryComponent-cdA1J",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": true,
"custom_fields": {
"n_messages": null,
@ -507,9 +429,7 @@
"field_order": [],
"frozen": false,
"icon": "history",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -556,17 +476,12 @@
"fileTypes": [],
"file_path": "",
"info": "Order of the messages.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "order",
"options": [
"Ascending",
"Descending"
],
"options": ["Ascending", "Descending"],
"password": false,
"placeholder": "",
"required": false,
@ -582,9 +497,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -604,18 +517,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User",
"Machine and User"
],
"options": ["Machine", "User", "Machine and User"],
"password": false,
"placeholder": "",
"required": false,
@ -631,9 +538,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -652,9 +557,7 @@
"fileTypes": [],
"file_path": "",
"info": "Session ID of the chat history.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -692,17 +595,10 @@
"display_name": "Prompt",
"id": "Prompt-ODkUx",
"node": {
"base_classes": [
"Text",
"str",
"object"
],
"base_classes": ["Text", "str", "object"],
"beta": false,
"custom_fields": {
"template": [
"context",
"user_message"
]
"template": ["context", "user_message"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -717,9 +613,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"_type": "CustomComponent",
"code": {
@ -773,9 +667,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -837,11 +729,7 @@
"data": {
"id": "OpenAIModel-9RykF",
"node": {
"base_classes": [
"str",
"object",
"Text"
],
"base_classes": ["str", "object", "Text"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -871,9 +759,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -892,7 +778,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -901,11 +787,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -962,9 +844,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -991,9 +871,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1012,9 +890,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": true,
"multiline": false,
@ -1053,9 +929,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1115,11 +989,7 @@
"data": {
"id": "TextOutput-vrs6T",
"node": {
"base_classes": [
"str",
"object",
"Text"
],
"base_classes": ["str", "object", "Text"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -1132,9 +1002,7 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -1162,10 +1030,7 @@
"fileTypes": [],
"file_path": "",
"info": "Text or Record to be passed as output.",
"input_types": [
"Record",
"Text"
],
"input_types": ["Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1185,9 +1050,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -1233,4 +1096,4 @@
"is_component": false,
"last_tested_version": "1.0.0a0",
"name": "Memory Chatbot"
}
}

327
src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
View file

@ -5,23 +5,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "TextInput",
"id": "TextInput-sptaH"
},
"targetHandle": {
"fieldName": "document",
"id": "Prompt-amqBu",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -38,21 +29,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-amqBu"
},
"targetHandle": {
"fieldName": "input_value",
"id": "TextOutput-2MS4a",
"inputTypes": [
"Record",
"Text"
],
"inputTypes": ["Record", "Text"],
"type": "str"
}
},
@ -69,22 +53,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-amqBu"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-uYXZJ",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -101,23 +77,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-uYXZJ"
},
"targetHandle": {
"fieldName": "summary",
"id": "Prompt-gTNiz",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
@ -134,20 +101,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-uYXZJ"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-EJkG3",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -164,21 +125,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-gTNiz"
},
"targetHandle": {
"fieldName": "input_value",
"id": "TextOutput-MUDOR",
"inputTypes": [
"Record",
"Text"
],
"inputTypes": ["Record", "Text"],
"type": "str"
}
},
@ -195,22 +149,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"str",
"Text"
],
"baseClasses": ["object", "str", "Text"],
"dataType": "Prompt",
"id": "Prompt-gTNiz"
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-XawYB",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
}
},
@ -227,20 +173,14 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"baseClasses": ["str", "Text", "object"],
"dataType": "OpenAIModel",
"id": "OpenAIModel-XawYB"
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-DNmvg",
"inputTypes": [
"Text"
],
"inputTypes": ["Text"],
"type": "str"
}
},
@ -261,16 +201,10 @@
"display_name": "Prompt",
"id": "Prompt-amqBu",
"node": {
"base_classes": [
"object",
"str",
"Text"
],
"base_classes": ["object", "str", "Text"],
"beta": false,
"custom_fields": {
"template": [
"document"
]
"template": ["document"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -285,9 +219,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"_type": "CustomComponent",
"code": {
@ -341,9 +273,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -381,16 +311,10 @@
"display_name": "Prompt",
"id": "Prompt-gTNiz",
"node": {
"base_classes": [
"object",
"str",
"Text"
],
"base_classes": ["object", "str", "Text"],
"beta": false,
"custom_fields": {
"template": [
"summary"
]
"template": ["summary"]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
@ -405,9 +329,7 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
],
"output_types": ["Prompt"],
"template": {
"_type": "CustomComponent",
"code": {
@ -461,9 +383,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -495,12 +415,7 @@
"data": {
"id": "ChatOutput-EJkG3",
"node": {
"base_classes": [
"object",
"Record",
"Text",
"str"
],
"base_classes": ["object", "Record", "Text", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -517,9 +432,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -542,14 +455,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -568,17 +479,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -594,9 +500,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -616,9 +520,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -649,12 +551,7 @@
"data": {
"id": "ChatOutput-DNmvg",
"node": {
"base_classes": [
"object",
"Record",
"Text",
"str"
],
"base_classes": ["object", "Record", "Text", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -671,9 +568,7 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message"
],
"output_types": ["Message"],
"template": {
"_type": "CustomComponent",
"code": {
@ -696,14 +591,12 @@
},
"input_value": {
"advanced": false,
"display_name": "Message",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -722,17 +615,12 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -748,9 +636,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -770,9 +656,7 @@
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -802,11 +686,7 @@
"data": {
"id": "TextInput-sptaH",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -819,9 +699,7 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -840,19 +718,16 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n"
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Text\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n"
},
"input_value": {
"advanced": false,
"display_name": "Value",
"display_name": "Text",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "Text or Record to be passed as input.",
"input_types": [
"Record",
"Text"
],
"input_types": ["Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -872,9 +747,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -910,11 +783,7 @@
"data": {
"id": "TextOutput-2MS4a",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -927,9 +796,7 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -957,10 +824,7 @@
"fileTypes": [],
"file_path": "",
"info": "Text or Record to be passed as output.",
"input_types": [
"Record",
"Text"
],
"input_types": ["Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -980,9 +844,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -1018,11 +880,7 @@
"data": {
"id": "OpenAIModel-uYXZJ",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -1052,9 +910,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -1073,7 +929,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -1082,11 +938,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1143,9 +995,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -1172,9 +1022,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1193,9 +1041,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": true,
"multiline": false,
@ -1234,9 +1080,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1296,11 +1140,7 @@
"data": {
"id": "TextOutput-MUDOR",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -1313,9 +1153,7 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -1343,10 +1181,7 @@
"fileTypes": [],
"file_path": "",
"info": "Text or Record to be passed as output.",
"input_types": [
"Record",
"Text"
],
"input_types": ["Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1366,9 +1201,7 @@
"fileTypes": [],
"file_path": "",
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -1404,11 +1237,7 @@
"data": {
"id": "OpenAIModel-XawYB",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -1438,9 +1267,7 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
],
"output_types": ["Text"],
"template": {
"_type": "CustomComponent",
"code": {
@ -1459,7 +1286,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\", \"Prompt\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-3.5-turbo\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n"
},
"input_value": {
"advanced": false,
@ -1468,11 +1295,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Record", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1529,9 +1352,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -1558,9 +1379,7 @@
"fileTypes": [],
"file_path": "",
"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.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1579,9 +1398,7 @@
"fileTypes": [],
"file_path": "",
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1620,9 +1437,7 @@
"fileTypes": [],
"file_path": "",
"info": "System message to pass to the model.",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -1690,4 +1505,4 @@
"is_component": false,
"last_tested_version": "1.0.0a0",
"name": "Prompt Chaining"
}
}

477
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
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