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Update Basic Prompting starter project

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Gabriel Luiz Freitas Almeida 2024-03-23 18:51:59 -03:00
commit 64c4bf0c3c
1 changed files with 143 additions and 142 deletions
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285
src/backend/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
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@ -1,11 +1,11 @@
{ {
"id": "4ac1ae80-b818-4fdf-b72c-f22dace784a5", "id": "8e544e5b-d4a7-487a-afe3-b271e3cb9e5c",
"icon": "📝", "icon": "📝",
"icon_bg_color": "#FFD700", "icon_bg_color": "#FFD700",
"data": { "data": {
"nodes": [ "nodes": [
{ {
"id": "ChatInput-WcFzs", "id": "ChatInput-5Jp60",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 86.66131544226482, "x": 86.66131544226482,
@ -22,12 +22,12 @@
"list": false, "list": false,
"show": true, "show": true,
"multiline": true, "multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Used to get user input from the chat.\"\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Used to get user input from the chat.\"\n icon = \"ChatInput\"\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
"name": "code", "name": "code",
"advanced": false, "advanced": true,
"dynamic": true, "dynamic": true,
"info": "", "info": "",
"title_case": false "title_case": false
@ -164,11 +164,11 @@
"field_order": [], "field_order": [],
"beta": true "beta": true
}, },
"id": "ChatInput-WcFzs" "id": "ChatInput-5Jp60"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
"height": 667, "height": 675,
"positionAbsolute": { "positionAbsolute": {
"x": 86.66131544226482, "x": 86.66131544226482,
"y": 69.51987428063671 "y": 69.51987428063671
@ -176,7 +176,7 @@
"dragging": false "dragging": false
}, },
{ {
"id": "Prompt-QtWOn", "id": "Prompt-adTHU",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 731.5380376186406, "x": 731.5380376186406,
@ -193,7 +193,7 @@
"list": false, "list": false,
"show": true, "show": true,
"multiline": true, "multiline": true,
"value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"A component for creating prompts using templates\"\n beta = True\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n prompt_template = PromptTemplate.from_template(Text(template))\n\n attributes_to_check = [\"text\", \"page_content\"]\n for key, value in kwargs.copy().items():\n for attribute in attributes_to_check:\n if hasattr(value, attribute):\n kwargs[key] = getattr(value, attribute)\n\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt: \"{formated_prompt}\"'\n return formated_prompt\n", "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"A component for creating prompts using templates\"\n icon = \"terminal-square\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n",
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
@ -331,17 +331,17 @@
"beta": true, "beta": true,
"error": null "error": null
}, },
"id": "Prompt-QtWOn", "id": "Prompt-adTHU",
"description": "A component for creating prompts using templates", "description": "A component for creating prompts using templates",
"display_name": "Prompt" "display_name": "Prompt"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
"height": 571, "height": 595,
"dragging": false "dragging": false
}, },
{ {
"id": "TextInput-xUQ9w", "id": "TextInput-fha43",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 91.73477837172948, "x": 91.73477837172948,
@ -412,11 +412,11 @@
], ],
"beta": true "beta": true
}, },
"id": "TextInput-xUQ9w" "id": "TextInput-fha43"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
"height": 289, "height": 297,
"positionAbsolute": { "positionAbsolute": {
"x": 91.73477837172948, "x": 91.73477837172948,
"y": 787.6263883143245 "y": 787.6263883143245
@ -424,7 +424,7 @@
"dragging": false "dragging": false
}, },
{ {
"id": "TextInput-l4zQt", "id": "TextInput-SncwS",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 93.56470545178581, "x": 93.56470545178581,
@ -495,11 +495,11 @@
], ],
"beta": true "beta": true
}, },
"id": "TextInput-l4zQt" "id": "TextInput-SncwS"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
"height": 289, "height": 297,
"positionAbsolute": { "positionAbsolute": {
"x": 93.56470545178581, "x": 93.56470545178581,
"y": 1125.2986229040628 "y": 1125.2986229040628
@ -507,7 +507,7 @@
"dragging": false "dragging": false
}, },
{ {
"id": "TextOutput-fTp5e", "id": "TextOutput-A6XkD",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 1242.6494961686594, "x": 1242.6494961686594,
@ -578,7 +578,7 @@
], ],
"beta": true "beta": true
}, },
"id": "TextOutput-fTp5e" "id": "TextOutput-A6XkD"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
@ -590,7 +590,7 @@
"dragging": false "dragging": false
}, },
{ {
"id": "ChatOutput-AVN8s", "id": "ChatOutput-HgY4l",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 2299.2806014585203, "x": 2299.2806014585203,
@ -607,12 +607,12 @@
"list": false, "list": false,
"show": true, "show": true,
"multiline": true, "multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Used to send a message to the chat.\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Used to send a message to the chat.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
"name": "code", "name": "code",
"advanced": false, "advanced": true,
"dynamic": true, "dynamic": true,
"info": "", "info": "",
"title_case": false "title_case": false
@ -748,11 +748,11 @@
"field_order": [], "field_order": [],
"beta": true "beta": true
}, },
"id": "ChatOutput-AVN8s" "id": "ChatOutput-HgY4l"
}, },
"selected": false, "selected": true,
"width": 384, "width": 384,
"height": 667, "height": 675,
"positionAbsolute": { "positionAbsolute": {
"x": 2299.2806014585203, "x": 2299.2806014585203,
"y": 449.2461295937437 "y": 449.2461295937437
@ -760,11 +760,11 @@
"dragging": false "dragging": false
}, },
{ {
"id": "OpenAIModel-IRzsd", "id": "OpenAIModel-gaDoA",
"type": "genericNode", "type": "genericNode",
"position": { "position": {
"x": 1735.1051821296949, "x": 1726.999321719415,
"y": 246.4955882724468 "y": 349.13963064653507
}, },
"data": { "data": {
"type": "OpenAIModel", "type": "OpenAIModel",
@ -797,12 +797,12 @@
"list": false, "list": false,
"show": true, "show": true,
"multiline": true, "multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.components.models.base.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI Model\"\n description = \"Generates text using OpenAI's models.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": \"Stream the response from the model.\",\n },\n }\n\n def build(\n self,\n input_value: Text,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n stream: bool = False,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n secret_key = SecretStr(openai_api_key)\n else:\n secret_key = None\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=secret_key,\n temperature=temperature,\n )\n\n return self.get_result(output=output, stream=stream, input_value=input_value)\n", "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\n\nfrom langflow.components.models.base.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI's models.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": \"Stream the response from the model.\",\n },\n }\n\n def build(\n self,\n input_value: Text,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n stream: bool = False,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=openai_api_key,\n temperature=temperature,\n )\n\n return self.get_result(output=output, stream=stream, input_value=input_value)\n",
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
"name": "code", "name": "code",
"advanced": false, "advanced": true,
"dynamic": true, "dynamic": true,
"info": "", "info": "",
"title_case": false "title_case": false
@ -910,16 +910,17 @@
"title_case": false, "title_case": false,
"input_types": [ "input_types": [
"Text" "Text"
] ],
"value": ""
}, },
"stream": { "stream": {
"type": "bool", "type": "bool",
"required": true, "required": false,
"placeholder": "", "placeholder": "",
"list": false, "list": false,
"show": true, "show": true,
"multiline": false, "multiline": false,
"value": true, "value": false,
"fileTypes": [], "fileTypes": [],
"file_path": "", "file_path": "",
"password": false, "password": false,
@ -959,10 +960,10 @@
"icon": "OpenAI", "icon": "OpenAI",
"base_classes": [ "base_classes": [
"object", "object",
"Text", "str",
"str" "Text"
], ],
"display_name": "OpenAI Model", "display_name": "OpenAI",
"documentation": "", "documentation": "",
"custom_fields": { "custom_fields": {
"input_value": null, "input_value": null,
@ -980,30 +981,30 @@
"field_formatters": {}, "field_formatters": {},
"frozen": false, "frozen": false,
"field_order": [], "field_order": [],
"beta": true "beta": false
}, },
"id": "OpenAIModel-IRzsd" "id": "OpenAIModel-gaDoA"
}, },
"selected": false, "selected": false,
"width": 384, "width": 384,
"height": 847, "height": 845,
"positionAbsolute": { "positionAbsolute": {
"x": 1735.1051821296949, "x": 1726.999321719415,
"y": 246.4955882724468 "y": 349.13963064653507
}, },
"dragging": false "dragging": false
} }
], ],
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"source": "ChatInput-WcFzs", "source": "ChatInput-5Jp60",
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"target": "Prompt-QtWOn", "target": "Prompt-adTHU",
"targetHandle": "{œfieldNameœ:œrequestœ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}", "targetHandle": "{œfieldNameœ:œrequestœ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
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"fieldName": "request", "fieldName": "request",
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"BaseOutputParser", "BaseOutputParser",
@ -1020,24 +1021,24 @@
"str" "str"
], ],
"dataType": "ChatInput", "dataType": "ChatInput",
"id": "ChatInput-WcFzs" "id": "ChatInput-5Jp60"
} }
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@ -1050,24 +1051,90 @@
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},
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"id": "reactflow__edge-TextInput-SncwS{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-SncwSœ}-Prompt-adTHU{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
},
{
"source": "TextInput-fha43",
"sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-fha43œ}",
"target": "Prompt-adTHU",
"targetHandle": "{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "topic_1",
"id": "Prompt-adTHU",
"inputTypes": [
"Document",
"BaseOutputParser",
"Text",
"Record"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "TextInput",
"id": "TextInput-fha43"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-gray-900 stroke-connection",
"id": "reactflow__edge-TextInput-fha43{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-fha43œ}-Prompt-adTHU{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
},
{
"source": "TextOutput-A6XkD",
"sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-A6XkDœ}",
"target": "OpenAIModel-gaDoA",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gaDoAœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": { "data": {
"targetHandle": { "targetHandle": {
"fieldName": "input_value", "fieldName": "input_value",
"id": "OpenAIModel-IRzsd", "id": "OpenAIModel-gaDoA",
"inputTypes": [ "inputTypes": [
"Text" "Text"
], ],
@ -1080,24 +1147,24 @@
"str" "str"
], ],
"dataType": "TextOutput", "dataType": "TextOutput",
"id": "TextOutput-fTp5e" "id": "TextOutput-A6XkD"
} }
}, },
"style": { "style": {
"stroke": "#555" "stroke": "#555"
}, },
"className": "stroke-foreground stroke-connection", "className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-TextOutput-fTp5e{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-fTp5eœ}-OpenAIModel-IRzsd{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-IRzsdœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" "id": "reactflow__edge-TextOutput-A6XkD{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-A6XkDœ}-OpenAIModel-gaDoA{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gaDoAœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
}, },
{ {
"source": "OpenAIModel-IRzsd", "source": "OpenAIModel-gaDoA",
"sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-IRzsdœ}", "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gaDoAœ}",
"target": "ChatOutput-AVN8s", "target": "ChatOutput-HgY4l",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-AVN8sœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HgY4lœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": { "data": {
"targetHandle": { "targetHandle": {
"fieldName": "input_value", "fieldName": "input_value",
"id": "ChatOutput-AVN8s", "id": "ChatOutput-HgY4l",
"inputTypes": [ "inputTypes": [
"Text" "Text"
], ],
@ -1106,94 +1173,28 @@
"sourceHandle": { "sourceHandle": {
"baseClasses": [ "baseClasses": [
"object", "object",
"Text", "str",
"str" "Text"
], ],
"dataType": "OpenAIModel", "dataType": "OpenAIModel",
"id": "OpenAIModel-IRzsd" "id": "OpenAIModel-gaDoA"
} }
}, },
"style": { "style": {
"stroke": "#555" "stroke": "#555"
}, },
"className": "stroke-foreground stroke-connection", "className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-OpenAIModel-IRzsd{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-IRzsdœ}-ChatOutput-AVN8s{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-AVN8sœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" "id": "reactflow__edge-OpenAIModel-gaDoA{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gaDoAœ}-ChatOutput-HgY4l{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HgY4lœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
},
{
"source": "TextInput-l4zQt",
"sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-l4zQtœ}",
"target": "Prompt-QtWOn",
"targetHandle": "{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "topic_2",
"id": "Prompt-QtWOn",
"inputTypes": [
"Document",
"BaseOutputParser",
"Text",
"Record"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "TextInput",
"id": "TextInput-l4zQt"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-TextInput-l4zQt{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-l4zQtœ}-Prompt-QtWOn{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
},
{
"source": "TextInput-xUQ9w",
"sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-xUQ9wœ}",
"target": "Prompt-QtWOn",
"targetHandle": "{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "topic_1",
"id": "Prompt-QtWOn",
"inputTypes": [
"Document",
"BaseOutputParser",
"Text",
"Record"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": [
"object",
"Text",
"str"
],
"dataType": "TextInput",
"id": "TextInput-xUQ9w"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-TextInput-xUQ9w{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-xUQ9wœ}-Prompt-QtWOn{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
} }
], ],
"viewport": { "viewport": {
"x": 81.87154098468557, "x": -259.90018287199223,
"y": 266.8627952720353, "y": 115.26167092636672,
"zoom": 0.315125847895746 "zoom": 0.4123667743050418
} }
}, },
"description": "Use a language model to generate text based on a prompt. \n\nIn this project, you'll be able to generate text based on a request and some topics.\n\nThe Topic 1 and Topic 2 components are actually Text Input, while the Prompt Output component is a Text Output. Changing the name of the component makes them easier to identify when interacting with them.", "description": "Use a language model to generate text based on a prompt. \n\nIn this project, you'll be able to generate text based on a request and some topics.\n\nThe Topic 1 and Topic 2 components are actually Text Input, while the Prompt Output component is a Text Output. Changing the name of the component makes them easier to identify when interacting with them.",
"name": "Basic Prompting", "name": "Basic Prompting",
"last_tested_version": "0.6.8", "last_tested_version": "1.0.0a0",
"is_component": false "is_component": false
} }