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fix .json files after merge conflict

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italojohnny 2024-06-14 09:14:27 -03:00
commit 81be804eee
6 changed files with 1630 additions and 2043 deletions
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src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
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@ -2,73 +2,79 @@
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"sourceHandle": {
"baseClasses": ["object", "Text", "str"],
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"id": "OpenAIModel-k39HS",
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}
},
"id": "reactflow__edge-OpenAIModel-NDBjF{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-NDBjFœ}-ChatOutput-JkVmc{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JkVmcœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
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{
"className": "",
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"baseClasses": ["object", "str", "Text"],
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},
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"fieldName": "input_value",
"id": "OpenAIModel-NDBjF",
"inputTypes": ["Text", "Record", "Prompt"],
"type": "str"
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"id": "reactflow__edge-Prompt-WSII4{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-WSII4œ}-OpenAIModel-NDBjF{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-NDBjFœ,œinputTypesœ:[œTextœ,œRecordœ,œPromptœ],œtypeœ:œstrœ}",
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"style": {
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"target": "OpenAIModel-NDBjF",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-NDBjFœ, œinputTypesœ: [œTextœ, œRecordœ, œPromptœ], œtypeœ: œstrœ}"
"target": "ChatOutput-njtka",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-njtkaœ, œinputTypesœ: [œTextœ, œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": ["Message", "object", "str", "Text"],
"dataType": "ChatInput",
"id": "ChatInput-kltLA"
"dataType": "Prompt",
"id": "Prompt-uxBqP",
"name": "prompt",
"output_types": ["Prompt"]
},
"targetHandle": {
"fieldName": "user_input",
"id": "Prompt-WSII4",
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"fieldName": "input_value",
"id": "OpenAIModel-k39HS",
"inputTypes": ["Text", "Data", "Prompt"],
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-kltLA{œbaseClassesœ:[œMessageœ,œobjectœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-kltLAœ}-Prompt-WSII4{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-WSII4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
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"id": "reactflow__edge-Prompt-uxBqP{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-uxBqPœ}-OpenAIModel-k39HS{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-k39HSœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
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"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-k39HSœ, œinputTypesœ: [œTextœ, œDataœ, œPromptœ], œtypeœ: œstrœ}"
},
{
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},
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"fieldName": "user_input",
"id": "Prompt-uxBqP",
"inputTypes": ["Document", "Message", "Record", "Text"],
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},
"id": "reactflow__edge-ChatInput-P3fgL{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-P3fgLœ}-Prompt-uxBqP{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-uxBqPœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
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"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-uxBqPœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
}
],
"nodes": [
@ -76,7 +82,7 @@
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-WSII4",
"id": "Prompt-uxBqP",
"node": {
"base_classes": ["object", "str", "Text"],
"beta": false,
@ -96,9 +102,29 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": ["Prompt"],
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Prompt",
"method": "build_prompt",
"name": "prompt",
"selected": "Prompt",
"types": ["Prompt"],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Text",
"method": "format_prompt",
"name": "text",
"selected": "Text",
"types": ["Text"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -115,7 +141,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import TemplateField\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
"value": "from langflow.custom import Component\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.inputs import PromptInput\nfrom langflow.template import Output\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
},
"template": {
"advanced": false,
@ -145,12 +171,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"input_types": ["Document", "Message", "Record", "Text"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -168,17 +189,17 @@
"type": "Prompt"
},
"dragging": false,
"height": 419,
"id": "Prompt-WSII4",
"height": 383,
"id": "Prompt-uxBqP",
"position": {
"x": 18.562420355453696,
"y": -284.15095348876025
"x": 53.588791333410654,
"y": -107.07318910019967
},
"positionAbsolute": {
"x": 18.562420355453696,
"y": -284.15095348876025
"x": 53.588791333410654,
"y": -107.07318910019967
},
"selected": false,
"selected": true,
"type": "genericNode",
"width": 384
},
@ -186,7 +207,7 @@
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-NDBjF",
"id": "OpenAIModel-k39HS",
"node": {
"base_classes": ["object", "Text", "str"],
"beta": false,
@ -218,9 +239,29 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": ["Text"],
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Text",
"method": "text_response",
"name": "text_output",
"selected": "Text",
"types": ["Text"],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Language Model",
"method": "build_model",
"name": "model_output",
"selected": "BaseLanguageModel",
"types": ["BaseLanguageModel"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -237,7 +278,7 @@
"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-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"
"value": "from 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 BaseLanguageModel, Text\nfrom langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, SecretStrInput, StrInput\nfrom langflow.inputs.inputs import IntInput\nfrom langflow.template import Output\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n inputs = [\n StrInput(name=\"input_value\", display_name=\"Input\", input_types=[\"Text\", \"Data\", \"Prompt\"]),\n IntInput(\n name=\"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 DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n DropdownInput(\n name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n ),\n StrInput(\n name=\"openai_api_base\",\n display_name=\"OpenAI API Base\",\n advanced=True,\n 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.\",\n ),\n SecretStrInput(\n name=\"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 value=\"OPENAI_API_KEY\",\n ),\n FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n StrInput(\n name=\"system_message\",\n display_name=\"System Message\",\n info=\"System message to pass to the model.\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text_output\", method=\"text_response\"),\n Output(display_name=\"Language Model\", name=\"model_output\", method=\"build_model\"),\n ]\n\n def text_response(self) -> Text:\n input_value = self.input_value\n stream = self.stream\n system_message = self.system_message\n output = self.build_model()\n result = self.get_chat_result(output, stream, input_value, system_message)\n self.status = result\n return result\n\n def build_model(self) -> BaseLanguageModel:\n openai_api_key = self.openai_api_key\n temperature = self.temperature\n model_name = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n\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 or {},\n model=model_name or None,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature or 0.1,\n )\n return output\n"
},
"input_value": {
"advanced": false,
@ -246,17 +287,18 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text", "Record", "Prompt"],
"input_types": ["Text", "Data", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
"name": "input_value",
"password": false,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"max_tokens": {
"advanced": true,
@ -265,6 +307,7 @@
"fileTypes": [],
"file_path": "",
"info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -274,8 +317,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "int",
"value": 256
"type": "str",
"value": ""
},
"model_kwargs": {
"advanced": true,
@ -284,6 +327,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -293,8 +337,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "NestedDict",
"value": {}
"type": "str",
"value": ""
},
"model_name": {
"advanced": false,
@ -340,7 +384,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"openai_api_key": {
"advanced": false,
@ -351,16 +396,16 @@
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"load_from_db": true,
"multiline": false,
"name": "openai_api_key",
"password": true,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str",
"value": ""
"value": "OPENAI_API_KEY"
},
"stream": {
"advanced": true,
@ -369,6 +414,7 @@
"fileTypes": [],
"file_path": "",
"info": "Stream the response from the model. Streaming works only in Chat.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -378,7 +424,7 @@
"required": false,
"show": true,
"title_case": false,
"type": "bool",
"type": "str",
"value": false
},
"system_message": {
@ -398,7 +444,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"temperature": {
"advanced": false,
@ -407,22 +454,17 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
"name": "temperature",
"password": false,
"placeholder": "",
"rangeSpec": {
"max": 1,
"min": -1,
"step": 0.1,
"step_type": "float"
},
"required": false,
"show": true,
"title_case": false,
"type": "float",
"type": "str",
"value": 0.1
}
}
@ -430,8 +472,8 @@
"type": "OpenAIModel"
},
"dragging": false,
"height": 571,
"id": "OpenAIModel-NDBjF",
"height": 563,
"id": "OpenAIModel-k39HS",
"position": {
"x": 634.8148772766217,
"y": 27.035057029045305
@ -446,7 +488,7 @@
},
{
"data": {
"id": "ChatOutput-JkVmc",
"id": "ChatOutput-njtka",
"node": {
"base_classes": ["Record", "Text", "str", "object"],
"beta": false,
@ -465,9 +507,20 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": ["Message", "Text"],
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Message",
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -484,7 +537,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\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 files: Optional[list[str]] = None,\n return_message: Optional[bool] = False,\n ) -> Union[Message, Text]:\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 files=files,\n return_message=return_message,\n )\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput, DropdownInput, MultilineInput, StrInput\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n input_types=[\"Text\", \"Message\"],\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n StrInput(name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True),\n StrInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n BoolInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n if isinstance(self.input_value, Message):\n message = self.input_value\n else:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.status = message\n return message\n"
},
"input_value": {
"advanced": false,
@ -492,8 +545,8 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text"],
"info": "Message to be passed as output.",
"input_types": ["Text", "Message"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -503,7 +556,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"sender": {
"advanced": true,
@ -511,7 +565,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"info": "Type of sender.",
"input_types": ["Text"],
"list": true,
"load_from_db": false,
@ -527,12 +581,12 @@
"value": "Machine"
},
"sender_name": {
"advanced": false,
"advanced": true,
"display_name": "Sender Name",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"info": "Name of the sender.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
@ -552,7 +606,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"info": "Session ID for the message.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
@ -563,22 +617,23 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
}
}
},
"type": "ChatOutput"
},
"dragging": false,
"height": 391,
"id": "ChatOutput-JkVmc",
"height": 383,
"id": "ChatOutput-njtka",
"position": {
"x": 1183.52086970399,
"y": -21.518887039580306
"x": 1193.250417197867,
"y": 71.88476890163852
},
"positionAbsolute": {
"x": 1183.52086970399,
"y": -21.518887039580306
"x": 1193.250417197867,
"y": 71.88476890163852
},
"selected": false,
"type": "genericNode",
@ -586,14 +641,13 @@
},
{
"data": {
"id": "ChatInput-kltLA",
"id": "ChatInput-P3fgL",
"node": {
"base_classes": ["Message", "object", "str", "Text"],
"base_classes": ["object", "Record", "str", "Text"],
"beta": false,
"custom_fields": {
"files": null,
"input_value": null,
"return_message": null,
"return_record": null,
"sender": null,
"sender_name": null,
"session_id": null
@ -605,9 +659,20 @@
"field_order": [],
"frozen": false,
"icon": "ChatInput",
"output_types": ["Message", "Text"],
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Message",
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -624,49 +689,7 @@
"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\nfrom langflow.field_typing import Text\nfrom typing import Union\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 build_config[\"return_message\"] = {\n \"display_name\": \"Return Record\",\n \"advanced\": 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_message: Optional[bool] = True,\n ) -> Union[Message, Text]:\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 return_message=return_message,\n )\n"
},
"files": {
"advanced": true,
"display_name": "Files",
"dynamic": false,
"fileTypes": [
".txt",
".md",
".mdx",
".csv",
".json",
".yaml",
".yml",
".xml",
".html",
".htm",
".pdf",
".docx",
".py",
".sh",
".sql",
".js",
".ts",
".tsx",
".jpg",
".jpeg",
".png",
".bmp"
],
"file_path": "",
"info": "Files to be sent with the message.",
"list": false,
"load_from_db": false,
"multiline": false,
"name": "files",
"password": false,
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"type": "file",
"value": ""
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import DropdownInput, StrInput\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n StrInput(\n name=\"input_value\",\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n StrInput(\n name=\"sender_name\",\n type=str,\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n StrInput(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)) and isinstance(message.text, str):\n self.store_message(message)\n self.status = message\n return message\n"
},
"input_value": {
"advanced": false,
@ -674,7 +697,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"info": "Message to be passed as input.",
"input_types": [],
"list": false,
"load_from_db": false,
@ -686,26 +709,7 @@
"show": true,
"title_case": false,
"type": "str",
"value": "what do you see?"
},
"return_message": {
"advanced": true,
"display_name": "Return Record",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"list": false,
"load_from_db": false,
"multiline": false,
"name": "return_message",
"password": false,
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"type": "bool",
"value": true
"value": ""
},
"sender": {
"advanced": true,
@ -713,7 +717,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"info": "Type of sender.",
"input_types": ["Text"],
"list": true,
"load_from_db": false,
@ -734,7 +738,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"info": "Name of the sender.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
@ -754,7 +758,7 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"info": "Session ID for the message.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
@ -765,37 +769,38 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
}
}
},
"type": "ChatInput"
},
"dragging": false,
"height": 289,
"id": "ChatInput-kltLA",
"height": 375,
"id": "ChatInput-P3fgL",
"position": {
"x": -560.3246254009209,
"y": -435.0506368105706
"x": -495.2223093083827,
"y": -232.56998443685862
},
"positionAbsolute": {
"x": -560.3246254009209,
"y": -435.0506368105706
"x": -495.2223093083827,
"y": -232.56998443685862
},
"selected": true,
"selected": false,
"type": "genericNode",
"width": 384
}
],
"viewport": {
"x": 223.38563623650703,
"y": 271.96191180648566,
"zoom": 0.5138985141032123
"x": 260.58251815500563,
"y": 318.2261172111936,
"zoom": 0.43514115784696294
}
},
"description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
"id": "ad43b14f-6ec7-496f-9564-aad928603084",
"id": "c091a57f-43a7-4a5e-b352-035ae8d8379c",
"is_component": false,
"last_tested_version": "1.0.0a52",
"last_tested_version": "1.0.0a4",
"name": "Basic Prompting (Hello, World)"
}

383
src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
View file

@ -5,28 +5,22 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Record"
],
"dataType": "URL",
"id": "URL-HYPkR"
"id": "URL-HYPkR",
"name": "record",
"output_types": []
},
"targetHandle": {
"fieldName": "reference_2",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
"id": "reactflow__edge-URL-HYPkR{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}-Prompt-Rse03{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "URL-HYPkR",
"sourceHandle": "{œbaseClassesœ: [œRecordœ], œdataTypeœ: œURLœ, œidœ: œURL-HYPkRœ}",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-HYPkRœ, œoutput_typesœ: [], œnameœ: œrecordœ}",
"style": {
"stroke": "#555"
},
@ -37,57 +31,46 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-gi29P"
"id": "OpenAIModel-gi29P",
"name": "text_output",
"output_types": ["Text"]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-JPlxl",
"inputTypes": [
"Text"
],
"inputTypes": ["Text", "Message"],
"type": "str"
}
},
"id": "reactflow__edge-OpenAIModel-gi29P{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}-ChatOutput-JPlxl{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-gi29P",
"sourceHandle": "{œbaseClassesœ: [œstrœ, œTextœ, œobjectœ], œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-gi29Pœ}",
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-gi29Pœ, œoutput_typesœ: [œTextœ], œnameœ: œtext_outputœ}",
"style": {
"stroke": "#555"
},
"target": "ChatOutput-JPlxl",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-JPlxlœ, œinputTypesœ: [œTextœ], œtypeœ: œstrœ}"
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-JPlxlœ, œinputTypesœ: [œTextœ, œMessageœ], œtypeœ: œstrœ}"
},
{
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"Record"
],
"dataType": "URL",
"id": "URL-2cX90"
"id": "URL-2cX90",
"name": "record",
"output_types": []
},
"targetHandle": {
"fieldName": "reference_1",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
"id": "reactflow__edge-URL-2cX90{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}-Prompt-Rse03{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-2cX90",
"sourceHandle": "{œbaseClassesœ: [œRecordœ], œdataTypeœ: œURLœ, œidœ: œURL-2cX90œ}",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-2cX90œ, œoutput_typesœ: [], œnameœ: œrecordœ}",
"style": {
"stroke": "#555"
},
@ -98,29 +81,21 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "TextInput",
"id": "TextInput-og8Or"
"id": "TextInput-og8Or",
"name": "Text",
"output_types": ["Text"]
},
"targetHandle": {
"fieldName": "instructions",
"id": "Prompt-Rse03",
"inputTypes": [
"Document",
"BaseOutputParser",
"Record",
"Text"
],
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
"type": "str"
}
},
"id": "reactflow__edge-TextInput-og8Or{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-og8Orœ}-Prompt-Rse03{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"source": "TextInput-og8Or",
"sourceHandle": "{œbaseClassesœ: [œobjectœ, œTextœ, œstrœ], œdataTypeœ: œTextInputœ, œidœ: œTextInput-og8Orœ}",
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-og8Orœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
"style": {
"stroke": "#555"
},
@ -131,34 +106,27 @@
"className": "stroke-gray-900 stroke-connection",
"data": {
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "Prompt",
"id": "Prompt-Rse03"
"id": "Prompt-Rse03",
"name": "prompt",
"output_types": ["Prompt"]
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-gi29P",
"inputTypes": [
"Text",
"Record",
"Prompt"
],
"inputTypes": ["Text", "Data", "Prompt"],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-Rse03{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}-OpenAIModel-gi29P{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "Prompt-Rse03",
"sourceHandle": "{œbaseClassesœ: [œobjectœ, œTextœ, œstrœ], œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ}",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
"style": {
"stroke": "#555"
},
"target": "OpenAIModel-gi29P",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-gi29Pœ, œinputTypesœ: [œTextœ, œRecordœ, œPromptœ], œtypeœ: œstrœ}"
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-gi29Pœ, œinputTypesœ: [œTextœ, œDataœ, œPromptœ], œtypeœ: œstrœ}"
}
],
"nodes": [
@ -168,18 +136,10 @@
"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",
@ -194,11 +154,29 @@
"is_input": null,
"is_output": null,
"name": "",
"output_types": [
"Prompt"
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Prompt",
"method": "build_prompt",
"name": "prompt",
"selected": "Prompt",
"types": ["Prompt"],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Text",
"method": "format_prompt",
"name": "text",
"selected": "Text",
"types": ["Text"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -215,7 +193,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import TemplateField\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
"value": "from langflow.custom import Component\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.inputs import PromptInput\nfrom langflow.template import Output\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
},
"instructions": {
"advanced": false,
@ -302,9 +280,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -340,9 +316,7 @@
"data": {
"id": "URL-HYPkR",
"node": {
"base_classes": [
"Record"
],
"base_classes": ["Record"],
"beta": false,
"custom_fields": {
"urls": null
@ -354,11 +328,20 @@
"field_order": [],
"frozen": false,
"icon": "layout-template",
"output_types": [
"Record"
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Data",
"method": "fetch_content",
"name": "data",
"selected": "Data",
"types": ["Data"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -375,31 +358,22 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=[url for url in urls if url])\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n"
"value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def fetch_content(self) -> Data:\n urls = [url.strip() for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n"
},
"urls": {
"advanced": false,
"display_name": "URL",
"display_name": "URLs",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"info": "Enter one or more URLs, separated by commas.",
"list": true,
"load_from_db": false,
"multiline": false,
"name": "urls",
"password": false,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str",
"value": [
"https://www.promptingguide.ai/techniques/prompt_chaining"
]
"value": ""
}
}
},
@ -424,12 +398,7 @@
"data": {
"id": "ChatOutput-JPlxl",
"node": {
"base_classes": [
"Text",
"Record",
"object",
"str"
],
"base_classes": ["Text", "Record", "object", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -446,12 +415,20 @@
"field_order": [],
"frozen": false,
"icon": "ChatOutput",
"output_types": [
"Message",
"Text"
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Message",
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -468,7 +445,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\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 files: Optional[list[str]] = None,\n return_message: Optional[bool] = False,\n ) -> Union[Message, Text]:\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 files=files,\n return_message=return_message,\n )\n"
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput, DropdownInput, MultilineInput, StrInput\nfrom langflow.schema.message import Message\nfrom langflow.template import Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n input_types=[\"Text\", \"Message\"],\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n StrInput(name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True),\n StrInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n BoolInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n if isinstance(self.input_value, Message):\n message = self.input_value\n else:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.status = message\n return message\n"
},
"input_value": {
"advanced": false,
@ -476,10 +453,8 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"info": "Message to be passed as output.",
"input_types": ["Text", "Message"],
"list": false,
"load_from_db": false,
"multiline": true,
@ -489,7 +464,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"sender": {
"advanced": true,
@ -497,18 +473,13 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"info": "Type of sender.",
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
"name": "sender",
"options": [
"Machine",
"User"
],
"options": ["Machine", "User"],
"password": false,
"placeholder": "",
"required": false,
@ -518,15 +489,13 @@
"value": "Machine"
},
"sender_name": {
"advanced": false,
"advanced": true,
"display_name": "Sender Name",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"info": "Name of the sender.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -545,10 +514,8 @@
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "If provided, the message will be stored in the memory.",
"input_types": [
"Text"
],
"info": "Session ID for the message.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -558,7 +525,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
}
}
},
@ -578,11 +546,7 @@
"data": {
"id": "OpenAIModel-gi29P",
"node": {
"base_classes": [
"str",
"Text",
"object"
],
"base_classes": ["str", "Text", "object"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -612,11 +576,29 @@
],
"frozen": false,
"icon": "OpenAI",
"output_types": [
"Text"
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Text",
"method": "text_response",
"name": "text_output",
"selected": "Text",
"types": ["Text"],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Language Model",
"method": "build_model",
"name": "model_output",
"selected": "BaseLanguageModel",
"types": ["BaseLanguageModel"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -633,7 +615,7 @@
"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-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"
"value": "from 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 BaseLanguageModel, Text\nfrom langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, SecretStrInput, StrInput\nfrom langflow.inputs.inputs import IntInput\nfrom langflow.template import Output\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n inputs = [\n StrInput(name=\"input_value\", display_name=\"Input\", input_types=[\"Text\", \"Data\", \"Prompt\"]),\n IntInput(\n name=\"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 DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n DropdownInput(\n name=\"model_name\", display_name=\"Model Name\", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]\n ),\n StrInput(\n name=\"openai_api_base\",\n display_name=\"OpenAI API Base\",\n advanced=True,\n 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.\",\n ),\n SecretStrInput(\n name=\"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 value=\"OPENAI_API_KEY\",\n ),\n FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n BoolInput(name=\"stream\", display_name=\"Stream\", info=STREAM_INFO_TEXT, advanced=True),\n StrInput(\n name=\"system_message\",\n display_name=\"System Message\",\n info=\"System message to pass to the model.\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text_output\", method=\"text_response\"),\n Output(display_name=\"Language Model\", name=\"model_output\", method=\"build_model\"),\n ]\n\n def text_response(self) -> Text:\n input_value = self.input_value\n stream = self.stream\n system_message = self.system_message\n output = self.build_model()\n result = self.get_chat_result(output, stream, input_value, system_message)\n self.status = result\n return result\n\n def build_model(self) -> BaseLanguageModel:\n openai_api_key = self.openai_api_key\n temperature = self.temperature\n model_name = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n\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 or {},\n model=model_name or None,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature or 0.1,\n )\n return output\n"
},
"input_value": {
"advanced": false,
@ -642,21 +624,18 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text",
"Record",
"Prompt"
],
"input_types": ["Text", "Data", "Prompt"],
"list": false,
"load_from_db": false,
"multiline": false,
"name": "input_value",
"password": false,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"max_tokens": {
"advanced": true,
@ -665,6 +644,7 @@
"fileTypes": [],
"file_path": "",
"info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -674,8 +654,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "int",
"value": "1024"
"type": "str",
"value": ""
},
"model_kwargs": {
"advanced": true,
@ -684,6 +664,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -693,8 +674,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "NestedDict",
"value": {}
"type": "str",
"value": ""
},
"model_name": {
"advanced": false,
@ -703,9 +684,7 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"input_types": ["Text"],
"list": true,
"load_from_db": false,
"multiline": false,
@ -732,9 +711,7 @@
"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,
@ -744,7 +721,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"openai_api_key": {
"advanced": false,
@ -753,16 +731,14 @@
"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,
"name": "openai_api_key",
"password": true,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str",
@ -775,6 +751,7 @@
"fileTypes": [],
"file_path": "",
"info": "Stream the response from the model. Streaming works only in Chat.",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
@ -784,8 +761,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "bool",
"value": true
"type": "str",
"value": false
},
"system_message": {
"advanced": true,
@ -794,9 +771,7 @@
"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,
@ -806,7 +781,8 @@
"required": false,
"show": true,
"title_case": false,
"type": "str"
"type": "str",
"value": ""
},
"temperature": {
"advanced": false,
@ -815,23 +791,18 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Text"],
"list": false,
"load_from_db": false,
"multiline": false,
"name": "temperature",
"password": false,
"placeholder": "",
"rangeSpec": {
"max": 1,
"min": -1,
"step": 0.1,
"step_type": "float"
},
"required": false,
"show": true,
"title_case": false,
"type": "float",
"value": "0.1"
"type": "str",
"value": 0.1
}
}
},
@ -856,9 +827,7 @@
"data": {
"id": "URL-2cX90",
"node": {
"base_classes": [
"Record"
],
"base_classes": ["Record"],
"beta": false,
"custom_fields": {
"urls": null
@ -870,11 +839,20 @@
"field_order": [],
"frozen": false,
"icon": "layout-template",
"output_types": [
"Record"
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Data",
"method": "fetch_content",
"name": "data",
"selected": "Data",
"types": ["Data"],
"value": "__UNDEFINED__"
}
],
"template": {
"_type": "CustomComponent",
"_type": "Component",
"code": {
"advanced": true,
"dynamic": true,
@ -891,31 +869,22 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=[url for url in urls if url])\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n"
"value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def fetch_content(self) -> Data:\n urls = [url.strip() for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n"
},
"urls": {
"advanced": false,
"display_name": "URL",
"display_name": "URLs",
"dynamic": false,
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Text"
],
"info": "Enter one or more URLs, separated by commas.",
"list": true,
"load_from_db": false,
"multiline": false,
"name": "urls",
"password": false,
"placeholder": "",
"required": true,
"required": false,
"show": true,
"title_case": false,
"type": "str",
"value": [
"https://www.promptingguide.ai/introduction/basics"
]
"value": ""
}
}
},
@ -940,11 +909,7 @@
"data": {
"id": "TextInput-og8Or",
"node": {
"base_classes": [
"object",
"Text",
"str"
],
"base_classes": ["object", "Text", "str"],
"beta": false,
"custom_fields": {
"input_value": null,
@ -957,8 +922,13 @@
"field_order": [],
"frozen": false,
"icon": "type",
"output_types": [
"Text"
"output_types": ["Text"],
"outputs": [
{
"name": "Text",
"selected": "Text",
"types": ["Text"]
}
],
"template": {
"_type": "CustomComponent",
@ -987,10 +957,7 @@
"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,
@ -1010,9 +977,7 @@
"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,

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