refactor: Remove PromptComponent and update langflow components to use Prompt field type
This commit is contained in:
ogabrielluiz
parent
c40188f6b6
commit
c3e2ad670e
9 changed files with 598 additions and 225 deletions
|
|
@ -1,38 +0,0 @@
|
|||
from langflow.custom import Component
|
||||
from langflow.field_typing import Input, Output
|
||||
from langflow.field_typing.prompt import Prompt
|
||||
from langflow.schema.record import Record
|
||||
|
||||
|
||||
class PromptComponent(Component):
|
||||
display_name: str = "Prompt"
|
||||
description: str = "Create a prompt template with dynamic variables."
|
||||
icon = "prompts"
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"template": Input(display_name="Template"),
|
||||
}
|
||||
|
||||
inputs = [
|
||||
Input(name="template", field_type=Prompt, display_name="Template"),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Prompt", name="prompt", method="build_prompt"),
|
||||
Output(display_name="Text", name="text", method="format_prompt"),
|
||||
]
|
||||
|
||||
async def format_prompt(self) -> str:
|
||||
prompt = await self.build_prompt()
|
||||
formatted_text = prompt.format_text()
|
||||
self.status = formatted_text
|
||||
return formatted_text
|
||||
|
||||
async def build_prompt(
|
||||
self,
|
||||
) -> Prompt:
|
||||
kwargs = {k: v for k, v in self._arguments.items() if k != "template"}
|
||||
prompt = await Prompt.from_template_and_variables(self.template, kwargs)
|
||||
self.status = [Record.from_lc_message(message) for message in prompt.messages]
|
||||
return prompt
|
||||
|
|
@ -1,5 +1,4 @@
|
|||
from .ChatInput import ChatInput
|
||||
from .Prompt import PromptComponent
|
||||
from .TextInput import TextInput
|
||||
|
||||
__all__ = ["ChatInput", "PromptComponent", "TextInput"]
|
||||
__all__ = ["ChatInput", "TextInput"]
|
||||
|
|
|
|||
|
|
@ -1,24 +1,37 @@
|
|||
from langflow.custom import CustomComponent
|
||||
from langflow.field_typing import TemplateField
|
||||
from langflow.custom import Component
|
||||
from langflow.field_typing import Input, Output
|
||||
from langflow.field_typing.prompt import Prompt
|
||||
|
||||
|
||||
class PromptComponent(CustomComponent):
|
||||
display_name: str = "Empty Prompt"
|
||||
class PromptComponent(Component):
|
||||
display_name: str = "Prompt"
|
||||
description: str = "Create a prompt template with dynamic variables."
|
||||
icon = "prompts"
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"template": TemplateField(display_name="Template"),
|
||||
"code": TemplateField(advanced=True),
|
||||
"template": Input(display_name="Template"),
|
||||
}
|
||||
|
||||
async def build(
|
||||
inputs = [
|
||||
Input(name="template", type=Prompt, display_name="Template"),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Prompt", name="prompt", method="build_prompt"),
|
||||
Output(display_name="Text", name="text", method="format_prompt"),
|
||||
]
|
||||
|
||||
async def format_prompt(self) -> str:
|
||||
prompt = await self.build_prompt()
|
||||
formatted_text = prompt.format_text()
|
||||
self.status = formatted_text
|
||||
return formatted_text
|
||||
|
||||
async def build_prompt(
|
||||
self,
|
||||
template: Prompt,
|
||||
**kwargs,
|
||||
) -> Prompt:
|
||||
prompt = await Prompt.from_template_and_variables(template, kwargs) # type: ignore
|
||||
kwargs = {k: v for k, v in self._arguments.items() if k != "template"}
|
||||
prompt = await Prompt.from_template_and_variables(self.template, kwargs)
|
||||
self.status = prompt.format_text()
|
||||
return prompt
|
||||
|
|
|
|||
|
|
@ -168,7 +168,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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,
|
||||
|
|
|
|||
|
|
@ -8,12 +8,19 @@
|
|||
"dataType": "URL",
|
||||
"id": "URL-HYPkR",
|
||||
"name": "record",
|
||||
"output_types": ["Record"]
|
||||
"output_types": [
|
||||
"Record"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "reference_2",
|
||||
"id": "Prompt-Rse03",
|
||||
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
|
|
@ -34,12 +41,16 @@
|
|||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-gi29P",
|
||||
"name": "text",
|
||||
"output_types": ["Text"]
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
"id": "ChatOutput-JPlxl",
|
||||
"inputTypes": ["Text"],
|
||||
"inputTypes": [
|
||||
"Text"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
|
|
@ -59,12 +70,19 @@
|
|||
"dataType": "URL",
|
||||
"id": "URL-2cX90",
|
||||
"name": "record",
|
||||
"output_types": ["Record"]
|
||||
"output_types": [
|
||||
"Record"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "reference_1",
|
||||
"id": "Prompt-Rse03",
|
||||
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
|
|
@ -84,12 +102,19 @@
|
|||
"dataType": "TextInput",
|
||||
"id": "TextInput-og8Or",
|
||||
"name": "Text",
|
||||
"output_types": ["Text"]
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "instructions",
|
||||
"id": "Prompt-Rse03",
|
||||
"inputTypes": ["Document", "BaseOutputParser", "Record", "Text"],
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
|
|
@ -109,12 +134,18 @@
|
|||
"dataType": "Prompt",
|
||||
"id": "Prompt-Rse03",
|
||||
"name": "prompt",
|
||||
"output_types": ["Prompt"]
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
"id": "OpenAIModel-gi29P",
|
||||
"inputTypes": ["Text", "Record", "Prompt"],
|
||||
"inputTypes": [
|
||||
"Text",
|
||||
"Record",
|
||||
"Prompt"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
|
|
@ -136,10 +167,18 @@
|
|||
"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",
|
||||
|
|
@ -162,7 +201,9 @@
|
|||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": ["Prompt"],
|
||||
"types": [
|
||||
"Prompt"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
|
|
@ -171,7 +212,9 @@
|
|||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": ["Text"],
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
|
|
@ -193,7 +236,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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,
|
||||
|
|
@ -280,7 +323,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -316,7 +361,9 @@
|
|||
"data": {
|
||||
"id": "URL-HYPkR",
|
||||
"node": {
|
||||
"base_classes": ["Record"],
|
||||
"base_classes": [
|
||||
"Record"
|
||||
],
|
||||
"beta": false,
|
||||
"custom_fields": {
|
||||
"urls": null
|
||||
|
|
@ -328,7 +375,9 @@
|
|||
"field_order": [],
|
||||
"frozen": false,
|
||||
"icon": "layout-template",
|
||||
"output_types": ["Record"],
|
||||
"output_types": [
|
||||
"Record"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
|
|
@ -336,7 +385,9 @@
|
|||
"method": null,
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": ["Record"],
|
||||
"types": [
|
||||
"Record"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
|
|
@ -367,7 +418,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": true,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -405,7 +458,12 @@
|
|||
"data": {
|
||||
"id": "ChatOutput-JPlxl",
|
||||
"node": {
|
||||
"base_classes": ["Text", "Record", "object", "str"],
|
||||
"base_classes": [
|
||||
"Text",
|
||||
"Record",
|
||||
"object",
|
||||
"str"
|
||||
],
|
||||
"beta": false,
|
||||
"custom_fields": {
|
||||
"input_value": null,
|
||||
|
|
@ -430,7 +488,9 @@
|
|||
"method": "text_response",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": ["Text"],
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
|
|
@ -439,7 +499,9 @@
|
|||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": ["Message"],
|
||||
"types": [
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
|
|
@ -470,7 +532,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "Message to be passed as output.",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
|
|
@ -490,7 +554,9 @@
|
|||
"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": false,
|
||||
|
|
@ -510,12 +576,17 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "Type of sender.",
|
||||
"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,
|
||||
|
|
@ -531,7 +602,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "Name of the sender.",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -551,7 +624,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "Session ID for the message.",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -582,7 +657,11 @@
|
|||
"data": {
|
||||
"id": "OpenAIModel-gi29P",
|
||||
"node": {
|
||||
"base_classes": ["str", "Text", "object"],
|
||||
"base_classes": [
|
||||
"str",
|
||||
"Text",
|
||||
"object"
|
||||
],
|
||||
"beta": false,
|
||||
"custom_fields": {
|
||||
"input_value": null,
|
||||
|
|
@ -612,7 +691,9 @@
|
|||
],
|
||||
"frozen": false,
|
||||
"icon": "OpenAI",
|
||||
"output_types": ["Text"],
|
||||
"output_types": [
|
||||
"Text"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
|
|
@ -620,7 +701,9 @@
|
|||
"method": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": ["Text"],
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
|
|
@ -651,7 +734,11 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": ["Text", "Record", "Prompt"],
|
||||
"input_types": [
|
||||
"Text",
|
||||
"Record",
|
||||
"Prompt"
|
||||
],
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -708,7 +795,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": true,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -735,7 +824,9 @@
|
|||
"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,
|
||||
|
|
@ -754,7 +845,9 @@
|
|||
"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,
|
||||
|
|
@ -793,7 +886,9 @@
|
|||
"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,
|
||||
|
|
@ -853,7 +948,9 @@
|
|||
"data": {
|
||||
"id": "URL-2cX90",
|
||||
"node": {
|
||||
"base_classes": ["Record"],
|
||||
"base_classes": [
|
||||
"Record"
|
||||
],
|
||||
"beta": false,
|
||||
"custom_fields": {
|
||||
"urls": null
|
||||
|
|
@ -865,7 +962,9 @@
|
|||
"field_order": [],
|
||||
"frozen": false,
|
||||
"icon": "layout-template",
|
||||
"output_types": ["Record"],
|
||||
"output_types": [
|
||||
"Record"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
|
|
@ -873,7 +972,9 @@
|
|||
"method": null,
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": ["Record"],
|
||||
"types": [
|
||||
"Record"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
|
|
@ -904,7 +1005,9 @@
|
|||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"input_types": ["Text"],
|
||||
"input_types": [
|
||||
"Text"
|
||||
],
|
||||
"list": true,
|
||||
"load_from_db": false,
|
||||
"multiline": false,
|
||||
|
|
@ -915,7 +1018,9 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ["https://www.promptingguide.ai/introduction/basics"]
|
||||
"value": [
|
||||
"https://www.promptingguide.ai/introduction/basics"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
|
|
@ -940,7 +1045,11 @@
|
|||
"data": {
|
||||
"id": "TextInput-og8Or",
|
||||
"node": {
|
||||
"base_classes": ["object", "Text", "str"],
|
||||
"base_classes": [
|
||||
"object",
|
||||
"Text",
|
||||
"str"
|
||||
],
|
||||
"beta": false,
|
||||
"custom_fields": {
|
||||
"input_value": null,
|
||||
|
|
@ -953,12 +1062,16 @@
|
|||
"field_order": [],
|
||||
"frozen": false,
|
||||
"icon": "type",
|
||||
"output_types": ["Text"],
|
||||
"output_types": [
|
||||
"Text"
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "Text",
|
||||
"selected": "Text",
|
||||
"types": ["Text"]
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -988,7 +1101,10 @@
|
|||
"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,
|
||||
|
|
@ -1008,7 +1124,9 @@
|
|||
"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,
|
||||
|
|
@ -1052,4 +1170,4 @@
|
|||
"is_component": false,
|
||||
"last_tested_version": "1.0.0a0",
|
||||
"name": "Blog Writer"
|
||||
}
|
||||
}
|
||||
|
|
@ -253,7 +253,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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,
|
||||
|
|
|
|||
|
|
@ -834,7 +834,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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"
|
||||
},
|
||||
"context": {
|
||||
"advanced": false,
|
||||
|
|
|
|||
|
|
@ -320,7 +320,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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"
|
||||
},
|
||||
"document": {
|
||||
"advanced": false,
|
||||
|
|
@ -462,7 +462,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\nfrom langflow.schema.record import Record\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", field_type=Prompt, 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 = [Record.from_lc_message(message) for message in prompt.messages]\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\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 def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, 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"
|
||||
},
|
||||
"summary": {
|
||||
"advanced": false,
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
Loading…
Add table
Add a link
Reference in a new issue