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| { | |
| "data": { | |
| "edges": [ | |
| { | |
| "animated": false, | |
| "className": "", | |
| "data": { | |
| "sourceHandle": { | |
| "dataType": "URL", | |
| "id": "URL-ewId1", | |
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| "id": "ParseData-Zwm0z", | |
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| "id": "reactflow__edge-URL-ewId1{œdataTypeœ:œURLœ,œidœ:œURL-ewId1œ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-ParseData-Zwm0z{œfieldNameœ:œdataœ,œidœ:œParseData-Zwm0zœ,œinputTypesœ:[œDataœ],œtypeœ:œotherœ}", | |
| "source": "URL-ewId1", | |
| "sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-ewId1œ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}", | |
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| "targetHandle": "{œfieldNameœ: œdataœ, œidœ: œParseData-Zwm0zœ, œinputTypesœ: [œDataœ], œtypeœ: œotherœ}" | |
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| "animated": false, | |
| "className": "", | |
| "data": { | |
| "sourceHandle": { | |
| "dataType": "ParseData", | |
| "id": "ParseData-Zwm0z", | |
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| ] | |
| }, | |
| "targetHandle": { | |
| "fieldName": "references", | |
| "id": "Prompt-WTVXx", | |
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| }, | |
| "id": "reactflow__edge-ParseData-Zwm0z{œdataTypeœ:œParseDataœ,œidœ:œParseData-Zwm0zœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-WTVXx{œfieldNameœ:œreferencesœ,œidœ:œPrompt-WTVXxœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}", | |
| "source": "ParseData-Zwm0z", | |
| "sourceHandle": "{œdataTypeœ: œParseDataœ, œidœ: œParseData-Zwm0zœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", | |
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| "targetHandle": "{œfieldNameœ: œreferencesœ, œidœ: œPrompt-WTVXxœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}" | |
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| { | |
| "animated": false, | |
| "className": "", | |
| "data": { | |
| "sourceHandle": { | |
| "dataType": "TextInput", | |
| "id": "TextInput-PAceh", | |
| "name": "text", | |
| "output_types": [ | |
| "Message" | |
| ] | |
| }, | |
| "targetHandle": { | |
| "fieldName": "instructions", | |
| "id": "Prompt-WTVXx", | |
| "inputTypes": [ | |
| "Message", | |
| "Text" | |
| ], | |
| "type": "str" | |
| } | |
| }, | |
| "id": "reactflow__edge-TextInput-PAceh{œdataTypeœ:œTextInputœ,œidœ:œTextInput-PAcehœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-WTVXx{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-WTVXxœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}", | |
| "source": "TextInput-PAceh", | |
| "sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-PAcehœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}", | |
| "target": "Prompt-WTVXx", | |
| "targetHandle": "{œfieldNameœ: œinstructionsœ, œidœ: œPrompt-WTVXxœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}" | |
| }, | |
| { | |
| "animated": false, | |
| "className": "", | |
| "data": { | |
| "sourceHandle": { | |
| "dataType": "Prompt", | |
| "id": "Prompt-WTVXx", | |
| "name": "prompt", | |
| "output_types": [ | |
| "Message" | |
| ] | |
| }, | |
| "targetHandle": { | |
| "fieldName": "input_value", | |
| "id": "OpenAIModel-s4uQ3", | |
| "inputTypes": [ | |
| "Message" | |
| ], | |
| "type": "str" | |
| } | |
| }, | |
| "id": "reactflow__edge-Prompt-WTVXx{œdataTypeœ:œPromptœ,œidœ:œPrompt-WTVXxœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-s4uQ3{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-s4uQ3œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", | |
| "source": "Prompt-WTVXx", | |
| "sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-WTVXxœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}", | |
| "target": "OpenAIModel-s4uQ3", | |
| "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œOpenAIModel-s4uQ3œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" | |
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| { | |
| "animated": false, | |
| "className": "", | |
| "data": { | |
| "sourceHandle": { | |
| "dataType": "OpenAIModel", | |
| "id": "OpenAIModel-s4uQ3", | |
| "name": "text_output", | |
| "output_types": [ | |
| "Message" | |
| ] | |
| }, | |
| "targetHandle": { | |
| "fieldName": "input_value", | |
| "id": "ChatOutput-uL64L", | |
| "inputTypes": [ | |
| "Message" | |
| ], | |
| "type": "str" | |
| } | |
| }, | |
| "id": "reactflow__edge-OpenAIModel-s4uQ3{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-s4uQ3œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-uL64L{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-uL64Lœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", | |
| "source": "OpenAIModel-s4uQ3", | |
| "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-s4uQ3œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}", | |
| "target": "ChatOutput-uL64L", | |
| "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-uL64Lœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" | |
| } | |
| ], | |
| "nodes": [ | |
| { | |
| "data": { | |
| "description": "Fetch content from one or more URLs.", | |
| "display_name": "URL", | |
| "id": "URL-ewId1", | |
| "node": { | |
| "base_classes": [ | |
| "Data" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": {}, | |
| "description": "Fetch content from one or more URLs.", | |
| "display_name": "URL", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "urls" | |
| ], | |
| "frozen": false, | |
| "icon": "layout-template", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Data", | |
| "method": "fetch_content", | |
| "name": "data", | |
| "selected": "Data", | |
| "types": [ | |
| "Data" | |
| ], | |
| "value": "__UNDEFINED__" | |
| }, | |
| { | |
| "cache": true, | |
| "display_name": "Text", | |
| "method": "fetch_content_text", | |
| "name": "text", | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "import re\n\nfrom langchain_community.document_loaders import AsyncHtmlLoader, WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n name = \"URL\"\n\n inputs = [\n MessageTextInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, by clicking the '+' button.\",\n is_list=True,\n tool_mode=True,\n ),\n DropdownInput(\n name=\"format\",\n display_name=\"Output Format\",\n info=\"Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.\",\n options=[\"Text\", \"Raw HTML\"],\n value=\"Text\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n Output(display_name=\"Text\", name=\"text\", method=\"fetch_content_text\"),\n ]\n\n def ensure_url(self, string: str) -> str:\n \"\"\"Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n\n Raises an error if the string is not a valid URL.\n\n Parameters:\n string (str): The string to be checked and possibly modified.\n\n Returns:\n str: The modified string that is ensured to be a URL.\n\n Raises:\n ValueError: If the string is not a valid URL.\n \"\"\"\n if not string.startswith((\"http://\", \"https://\")):\n string = \"http://\" + string\n\n # Basic URL validation regex\n url_regex = re.compile(\n r\"^(https?:\\/\\/)?\" # optional protocol\n r\"(www\\.)?\" # optional www\n r\"([a-zA-Z0-9.-]+)\" # domain\n r\"(\\.[a-zA-Z]{2,})?\" # top-level domain\n r\"(:\\d+)?\" # optional port\n r\"(\\/[^\\s]*)?$\", # optional path\n re.IGNORECASE,\n )\n\n if not url_regex.match(string):\n msg = f\"Invalid URL: {string}\"\n raise ValueError(msg)\n\n return string\n\n def fetch_content(self) -> list[Data]:\n urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n if self.format == \"Raw HTML\":\n loader = AsyncHtmlLoader(web_path=urls, encoding=\"utf-8\")\n else:\n loader = WebBaseLoader(web_paths=urls, encoding=\"utf-8\")\n docs = loader.load()\n data = [Data(text=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n\n def fetch_content_text(self) -> Message:\n data = self.fetch_content()\n\n result_string = data_to_text(\"{text}\", data)\n self.status = result_string\n return Message(text=result_string)\n" | |
| }, | |
| "format": { | |
| "_input_type": "DropdownInput", | |
| "advanced": false, | |
| "combobox": false, | |
| "display_name": "Output Format", | |
| "dynamic": false, | |
| "info": "Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.", | |
| "name": "format", | |
| "options": [ | |
| "Text", | |
| "Raw HTML" | |
| ], | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "Text" | |
| }, | |
| "urls": { | |
| "advanced": false, | |
| "display_name": "URLs", | |
| "dynamic": false, | |
| "info": "Enter one or more URLs, by clicking the '+' button.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": true, | |
| "load_from_db": false, | |
| "name": "urls", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": [ | |
| "https://langflow.org/", | |
| "https://docs.langflow.org/" | |
| ] | |
| } | |
| } | |
| }, | |
| "type": "URL" | |
| }, | |
| "dragging": false, | |
| "height": 418, | |
| "id": "URL-ewId1", | |
| "position": { | |
| "x": 544.3302626182673, | |
| "y": 495.2237424466647 | |
| }, | |
| "positionAbsolute": { | |
| "x": 544.3302626182673, | |
| "y": 495.2237424466647 | |
| }, | |
| "selected": false, | |
| "type": "genericNode", | |
| "width": 320 | |
| }, | |
| { | |
| "data": { | |
| "description": "Convert Data into plain text following a specified template.", | |
| "display_name": "Parse Data", | |
| "id": "ParseData-Zwm0z", | |
| "node": { | |
| "base_classes": [ | |
| "Message" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": {}, | |
| "description": "Convert Data into plain text following a specified template.", | |
| "display_name": "Parse Data", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "data", | |
| "template", | |
| "sep" | |
| ], | |
| "frozen": false, | |
| "icon": "braces", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Text", | |
| "method": "parse_data", | |
| "name": "text", | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| }, | |
| { | |
| "cache": true, | |
| "display_name": "Data List", | |
| "method": "parse_data_as_list", | |
| "name": "data_list", | |
| "selected": "Data", | |
| "types": [ | |
| "Data" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n" | |
| }, | |
| "data": { | |
| "advanced": false, | |
| "display_name": "Data", | |
| "dynamic": false, | |
| "info": "The data to convert to text.", | |
| "input_types": [ | |
| "Data" | |
| ], | |
| "list": true, | |
| "name": "data", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "other", | |
| "value": "" | |
| }, | |
| "sep": { | |
| "advanced": true, | |
| "display_name": "Separator", | |
| "dynamic": false, | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "sep", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "\n" | |
| }, | |
| "template": { | |
| "advanced": false, | |
| "display_name": "Template", | |
| "dynamic": false, | |
| "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "template", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "{text}" | |
| } | |
| } | |
| }, | |
| "type": "ParseData" | |
| }, | |
| "dragging": false, | |
| "height": 302, | |
| "id": "ParseData-Zwm0z", | |
| "position": { | |
| "x": 955.6736985046297, | |
| "y": 702.7003891105396 | |
| }, | |
| "positionAbsolute": { | |
| "x": 955.6736985046297, | |
| "y": 702.7003891105396 | |
| }, | |
| "selected": false, | |
| "type": "genericNode", | |
| "width": 320 | |
| }, | |
| { | |
| "data": { | |
| "description": "Create a prompt template with dynamic variables.", | |
| "display_name": "Prompt", | |
| "id": "Prompt-WTVXx", | |
| "node": { | |
| "base_classes": [ | |
| "Message" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": { | |
| "template": [ | |
| "references", | |
| "instructions" | |
| ] | |
| }, | |
| "description": "Create a prompt template with dynamic variables.", | |
| "display_name": "Prompt", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "template" | |
| ], | |
| "frozen": false, | |
| "icon": "prompts", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Prompt Message", | |
| "method": "build_prompt", | |
| "name": "prompt", | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import MessageTextInput, Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n tool_mode=True,\n advanced=True,\n info=\"A placeholder input for tool mode.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(self) -> Message:\n prompt = Message.from_template(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n def post_code_processing(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"This function is called after the code validation is done.\"\"\"\n frontend_node = super().post_code_processing(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n" | |
| }, | |
| "instructions": { | |
| "advanced": false, | |
| "display_name": "instructions", | |
| "dynamic": false, | |
| "field_type": "str", | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "input_types": [ | |
| "Message", | |
| "Text" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "instructions", | |
| "password": false, | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "references": { | |
| "advanced": false, | |
| "display_name": "references", | |
| "dynamic": false, | |
| "field_type": "str", | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "input_types": [ | |
| "Message", | |
| "Text" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "references", | |
| "password": false, | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "template": { | |
| "advanced": false, | |
| "display_name": "Template", | |
| "dynamic": false, | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "template", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "type": "prompt", | |
| "value": "Reference 1:\n\n{references}\n\n---\n\n{instructions}\n\nBlog: \n\n" | |
| }, | |
| "tool_placeholder": { | |
| "_input_type": "MessageTextInput", | |
| "advanced": true, | |
| "display_name": "Tool Placeholder", | |
| "dynamic": false, | |
| "info": "A placeholder input for tool mode.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "tool_placeholder", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "tool_mode": true, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| } | |
| } | |
| }, | |
| "type": "Prompt" | |
| }, | |
| "dragging": false, | |
| "height": 433, | |
| "id": "Prompt-WTVXx", | |
| "position": { | |
| "x": 1341.1018009526915, | |
| "y": 456.4098573354365 | |
| }, | |
| "positionAbsolute": { | |
| "x": 1341.1018009526915, | |
| "y": 456.4098573354365 | |
| }, | |
| "selected": false, | |
| "type": "genericNode", | |
| "width": 320 | |
| }, | |
| { | |
| "data": { | |
| "description": "Get text inputs from the Playground.", | |
| "display_name": "Instructions", | |
| "id": "TextInput-PAceh", | |
| "node": { | |
| "base_classes": [ | |
| "Message" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": {}, | |
| "description": "Get text inputs from the Playground.", | |
| "display_name": "Instructions", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "input_value" | |
| ], | |
| "frozen": false, | |
| "icon": "type", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Text", | |
| "method": "text_response", | |
| "name": "text", | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n return Message(\n text=self.input_value,\n )\n" | |
| }, | |
| "input_value": { | |
| "_input_type": "MultilineInput", | |
| "advanced": false, | |
| "display_name": "Text", | |
| "dynamic": false, | |
| "info": "Text to be passed as input.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "input_value", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "Use the references above for style to write a new blog/tutorial about Langflow and AI. Suggest non-covered topics." | |
| } | |
| } | |
| }, | |
| "type": "TextInput" | |
| }, | |
| "dragging": false, | |
| "height": 234, | |
| "id": "TextInput-PAceh", | |
| "position": { | |
| "x": 955.8314364398983, | |
| "y": 402.24423846638155 | |
| }, | |
| "positionAbsolute": { | |
| "x": 955.8314364398983, | |
| "y": 402.24423846638155 | |
| }, | |
| "selected": false, | |
| "type": "genericNode", | |
| "width": 320 | |
| }, | |
| { | |
| "data": { | |
| "description": "Display a chat message in the Playground.", | |
| "display_name": "Chat Output", | |
| "id": "ChatOutput-uL64L", | |
| "node": { | |
| "base_classes": [ | |
| "Message" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": {}, | |
| "description": "Display a chat message in the Playground.", | |
| "display_name": "Chat Output", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "input_value", | |
| "store_message", | |
| "sender", | |
| "sender_name", | |
| "session_id", | |
| "data_template" | |
| ], | |
| "frozen": false, | |
| "icon": "MessagesSquare", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Message", | |
| "method": "message_response", | |
| "name": "message", | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "background_color": { | |
| "_input_type": "MessageTextInput", | |
| "advanced": true, | |
| "display_name": "Background Color", | |
| "dynamic": false, | |
| "info": "The background color of the icon.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "background_color", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "chat_icon": { | |
| "_input_type": "MessageTextInput", | |
| "advanced": true, | |
| "display_name": "Icon", | |
| "dynamic": false, | |
| "info": "The icon of the message.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "chat_icon", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\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 MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n source_dict[\"source\"] = source\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\n message = self.input_value if isinstance(self.input_value, Message) else Message(text=self.input_value)\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" | |
| }, | |
| "data_template": { | |
| "advanced": true, | |
| "display_name": "Data Template", | |
| "dynamic": false, | |
| "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "data_template", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "{text}" | |
| }, | |
| "input_value": { | |
| "advanced": false, | |
| "display_name": "Text", | |
| "dynamic": false, | |
| "info": "Message to be passed as output.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "input_value", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "sender": { | |
| "advanced": true, | |
| "display_name": "Sender Type", | |
| "dynamic": false, | |
| "info": "Type of sender.", | |
| "name": "sender", | |
| "options": [ | |
| "Machine", | |
| "User" | |
| ], | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "Machine" | |
| }, | |
| "sender_name": { | |
| "advanced": true, | |
| "display_name": "Sender Name", | |
| "dynamic": false, | |
| "info": "Name of the sender.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "sender_name", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "AI" | |
| }, | |
| "session_id": { | |
| "advanced": true, | |
| "display_name": "Session ID", | |
| "dynamic": false, | |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "session_id", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "should_store_message": { | |
| "_input_type": "BoolInput", | |
| "advanced": true, | |
| "display_name": "Store Messages", | |
| "dynamic": false, | |
| "info": "Store the message in the history.", | |
| "list": false, | |
| "name": "should_store_message", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "bool", | |
| "value": true | |
| }, | |
| "text_color": { | |
| "_input_type": "MessageTextInput", | |
| "advanced": true, | |
| "display_name": "Text Color", | |
| "dynamic": false, | |
| "info": "The text color of the name", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "text_color", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| } | |
| } | |
| }, | |
| "type": "ChatOutput" | |
| }, | |
| "dragging": false, | |
| "height": 234, | |
| "id": "ChatOutput-uL64L", | |
| "position": { | |
| "x": 2113.228183852361, | |
| "y": 594.6116538574528 | |
| }, | |
| "positionAbsolute": { | |
| "x": 2113.228183852361, | |
| "y": 594.6116538574528 | |
| }, | |
| "selected": false, | |
| "type": "genericNode", | |
| "width": 320 | |
| }, | |
| { | |
| "data": { | |
| "description": "Generates text using OpenAI LLMs.", | |
| "display_name": "OpenAI", | |
| "id": "OpenAIModel-s4uQ3", | |
| "node": { | |
| "base_classes": [ | |
| "LanguageModel", | |
| "Message" | |
| ], | |
| "beta": false, | |
| "conditional_paths": [], | |
| "custom_fields": {}, | |
| "description": "Generates text using OpenAI LLMs.", | |
| "display_name": "OpenAI", | |
| "documentation": "", | |
| "edited": false, | |
| "field_order": [ | |
| "input_value", | |
| "max_tokens", | |
| "model_kwargs", | |
| "json_mode", | |
| "output_schema", | |
| "model_name", | |
| "openai_api_base", | |
| "openai_api_key", | |
| "temperature", | |
| "stream", | |
| "system_message", | |
| "seed" | |
| ], | |
| "frozen": false, | |
| "icon": "OpenAI", | |
| "legacy": false, | |
| "lf_version": "1.0.19.post2", | |
| "metadata": {}, | |
| "output_types": [], | |
| "outputs": [ | |
| { | |
| "cache": true, | |
| "display_name": "Text", | |
| "method": "text_response", | |
| "name": "text_output", | |
| "required_inputs": [], | |
| "selected": "Message", | |
| "types": [ | |
| "Message" | |
| ], | |
| "value": "__UNDEFINED__" | |
| }, | |
| { | |
| "cache": true, | |
| "display_name": "Language Model", | |
| "method": "build_model", | |
| "name": "model_output", | |
| "required_inputs": [], | |
| "selected": "LanguageModel", | |
| "types": [ | |
| "LanguageModel" | |
| ], | |
| "value": "__UNDEFINED__" | |
| } | |
| ], | |
| "pinned": false, | |
| "template": { | |
| "_type": "Component", | |
| "api_key": { | |
| "_input_type": "SecretStrInput", | |
| "advanced": false, | |
| "display_name": "OpenAI API Key", | |
| "dynamic": false, | |
| "info": "The OpenAI API Key to use for the OpenAI model.", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "load_from_db": true, | |
| "name": "api_key", | |
| "password": true, | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "type": "str", | |
| "value": "OPENAI_API_KEY" | |
| }, | |
| "code": { | |
| "advanced": true, | |
| "dynamic": true, | |
| "fileTypes": [], | |
| "file_path": "", | |
| "info": "", | |
| "list": false, | |
| "load_from_db": false, | |
| "multiline": true, | |
| "name": "code", | |
| "password": false, | |
| "placeholder": "", | |
| "required": true, | |
| "show": true, | |
| "title_case": false, | |
| "type": "code", | |
| "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langflow.inputs import BoolInput, DictInput, DropdownInput, IntInput, SecretStrInput, SliderInput, StrInput\nfrom langflow.inputs.inputs import HandleInput\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n name = \"OpenAIModel\"\n\n inputs = [\n *LCModelComponent._base_inputs,\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 range_spec=RangeSpec(min=0, max=128000),\n ),\n DictInput(\n name=\"model_kwargs\",\n display_name=\"Model Kwargs\",\n advanced=True,\n info=\"Additional keyword arguments to pass to the model.\",\n ),\n BoolInput(\n name=\"json_mode\",\n display_name=\"JSON Mode\",\n advanced=True,\n info=\"If True, it will output JSON regardless of passing a schema.\",\n ),\n DictInput(\n name=\"output_schema\",\n is_list=True,\n display_name=\"Schema\",\n advanced=True,\n info=\"The schema for the Output of the model. \"\n \"You must pass the word JSON in the prompt. \"\n \"If left blank, JSON mode will be disabled. [DEPRECATED]\",\n ),\n DropdownInput(\n name=\"model_name\",\n display_name=\"Model Name\",\n advanced=False,\n options=OPENAI_MODEL_NAMES,\n value=OPENAI_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. \"\n \"Defaults to https://api.openai.com/v1. \"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n ),\n SecretStrInput(\n name=\"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 SliderInput(\n name=\"temperature\", display_name=\"Temperature\", value=0.1, range_spec=RangeSpec(min=0, max=2, step=0.01)\n ),\n IntInput(\n name=\"seed\",\n display_name=\"Seed\",\n info=\"The seed controls the reproducibility of the job.\",\n advanced=True,\n value=1,\n ),\n HandleInput(\n name=\"output_parser\",\n display_name=\"Output Parser\",\n info=\"The parser to use to parse the output of the model\",\n advanced=True,\n input_types=[\"OutputParser\"],\n ),\n ]\n\n def build_model(self) -> LanguageModel: # type: ignore[type-var]\n # self.output_schema is a list of dictionaries\n # let's convert it to a dictionary\n output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n openai_api_key = self.api_key\n temperature = self.temperature\n model_name: str = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs or {}\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n json_mode = bool(output_schema_dict) or self.json_mode\n seed = self.seed\n\n api_key = SecretStr(openai_api_key).get_secret_value() if openai_api_key else None\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 if temperature is not None else 0.1,\n seed=seed,\n )\n if json_mode:\n if output_schema_dict:\n output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\")\n else:\n output = output.bind(response_format={\"type\": \"json_object\"})\n\n return output\n\n def _get_exception_message(self, e: Exception):\n \"\"\"Get a message from an OpenAI exception.\n\n Args:\n e (Exception): The exception to get the message from.\n\n Returns:\n str: The message from the exception.\n \"\"\"\n try:\n from openai import BadRequestError\n except ImportError:\n return None\n if isinstance(e, BadRequestError):\n message = e.body.get(\"message\")\n if message:\n return message\n return None\n" | |
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| "input_value": { | |
| "advanced": false, | |
| "display_name": "Input", | |
| "dynamic": false, | |
| "info": "", | |
| "input_types": [ | |
| "Message" | |
| ], | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "input_value", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "json_mode": { | |
| "advanced": true, | |
| "display_name": "JSON Mode", | |
| "dynamic": false, | |
| "info": "If True, it will output JSON regardless of passing a schema.", | |
| "list": false, | |
| "name": "json_mode", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "bool", | |
| "value": false | |
| }, | |
| "max_tokens": { | |
| "advanced": true, | |
| "display_name": "Max Tokens", | |
| "dynamic": false, | |
| "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", | |
| "list": false, | |
| "name": "max_tokens", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "int", | |
| "value": "" | |
| }, | |
| "model_kwargs": { | |
| "advanced": true, | |
| "display_name": "Model Kwargs", | |
| "dynamic": false, | |
| "info": "Additional keyword arguments to pass to the model.", | |
| "list": false, | |
| "name": "model_kwargs", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "type": "dict", | |
| "value": {} | |
| }, | |
| "model_name": { | |
| "advanced": false, | |
| "display_name": "Model Name", | |
| "dynamic": false, | |
| "info": "", | |
| "name": "model_name", | |
| "options": [ | |
| "gpt-4o-mini", | |
| "gpt-4o", | |
| "gpt-4-turbo", | |
| "gpt-4-turbo-preview", | |
| "gpt-4", | |
| "gpt-3.5-turbo", | |
| "gpt-3.5-turbo-0125" | |
| ], | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "gpt-4o" | |
| }, | |
| "openai_api_base": { | |
| "advanced": true, | |
| "display_name": "OpenAI API Base", | |
| "dynamic": false, | |
| "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.", | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "openai_api_base", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "output_parser": { | |
| "_input_type": "HandleInput", | |
| "advanced": true, | |
| "display_name": "Output Parser", | |
| "dynamic": false, | |
| "info": "The parser to use to parse the output of the model", | |
| "input_types": [ | |
| "OutputParser" | |
| ], | |
| "list": false, | |
| "name": "output_parser", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "other", | |
| "value": "" | |
| }, | |
| "output_schema": { | |
| "advanced": true, | |
| "display_name": "Schema", | |
| "dynamic": false, | |
| "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled. [DEPRECATED]", | |
| "list": true, | |
| "name": "output_schema", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_input": true, | |
| "type": "dict", | |
| "value": {} | |
| }, | |
| "seed": { | |
| "advanced": true, | |
| "display_name": "Seed", | |
| "dynamic": false, | |
| "info": "The seed controls the reproducibility of the job.", | |
| "list": false, | |
| "name": "seed", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "int", | |
| "value": 1 | |
| }, | |
| "stream": { | |
| "advanced": false, | |
| "display_name": "Stream", | |
| "dynamic": false, | |
| "info": "Stream the response from the model. Streaming works only in Chat.", | |
| "list": false, | |
| "name": "stream", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "bool", | |
| "value": false | |
| }, | |
| "system_message": { | |
| "advanced": false, | |
| "display_name": "System Message", | |
| "dynamic": false, | |
| "info": "System message to pass to the model.", | |
| "list": false, | |
| "load_from_db": false, | |
| "name": "system_message", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "str", | |
| "value": "" | |
| }, | |
| "temperature": { | |
| "advanced": false, | |
| "display_name": "Temperature", | |
| "dynamic": false, | |
| "info": "", | |
| "list": false, | |
| "name": "temperature", | |
| "placeholder": "", | |
| "required": false, | |
| "show": true, | |
| "title_case": false, | |
| "trace_as_metadata": true, | |
| "type": "float", | |
| "value": 0.1 | |
| } | |
| } | |
| }, | |
| "type": "OpenAIModel" | |
| }, | |
| "dragging": false, | |
| "height": 495, | |
| "id": "OpenAIModel-s4uQ3", | |
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| "description": "## URL Component Setup\n\n**Purpose:**\nFetch and process content from the web to use as reference material for creating a blog post.\n\n**Instructions:**\n1. **Input URLs**: List the URLs of web pages whose content you want to fetch. Ensure the URLs start with `http://` or `https://`.\n2. **Select Output Format**:\n - **Text**: To extract plain text from the pages.\n - **Raw HTML**: To retrieve the raw HTML content for advanced uses.\n\n**Tips**:\n- Double-check URL formats to prevent any data fetching errors.\n- Use the '+' button to add multiple URLs as needed for comprehensive references.\n", | |
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| "documentation": "", | |
| "template": { | |
| "backgroundColor": "blue" | |
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| "type": "note" | |
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| "id": "note-5zVjK", | |
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| "x": 484.73635938598477, | |
| "y": 153.29803159918163 | |
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| "positionAbsolute": { | |
| "x": 484.73635938598477, | |
| "y": 153.29803159918163 | |
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| { | |
| "data": { | |
| "id": "note-TrHJa", | |
| "node": { | |
| "description": "# Blog Writing Flow Overview\n\n**Workflow Description:**\nThis flow assists in creating a blog post by using content fetched from URLs and user-provided instructions. It combines external references and user inputs to generate coherent and context-rich text.\n\n**Components**:\n1. **URL Component**: Fetches reference content from specified web pages.\n2. **Parse Data**: Converts the fetched content into a text format.\n3. **Text Input**: Accepts user-specific instructions for the blog post.\n4. **Prompt with Variables**: Merges references and instructions into a dynamic writing prompt.\n5. **OpenAI Model**: Generates the blog post using an AI language model.\n6. **Chat Output**: Displays the final blog text for user review and further refinement.\n\n**Steps to Execute**:\n1. Enter the relevant URLs and specify the output format in the **URL Component**.\n2. Provide detailed writing **Instructions** for AI to follow.\n3. Run the flow to generate the blog and view the result in **Chat Output**.\n\n**Benefits**:\n- Simplifies blog creation by using AI to structure and write content.\n- Incorporates comprehensive reference material to enhance post depth and accuracy.", | |
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| "id": "note-TrHJa", | |
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| "x": -78.41970365609802, | |
| "y": 405.04114164010207 | |
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| "positionAbsolute": { | |
| "x": -78.41970365609802, | |
| "y": 405.04114164010207 | |
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| "resizing": false, | |
| "selected": false, | |
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| "width": 562 | |
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| { | |
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| "description": "## Get Your OpenAI API Key\n**Steps**:\n1. **Visit** [OpenAI's API Key Page](https://platform.openai.com/api-keys).\n\n2. **Log In/Sign Up**:\n - Log in or create a new OpenAI account.\n\n3. **Generate API Key**:\n - Click \"Create New Secret Key\" to obtain your key.\n\n4. **Store Your Key Securely**:\n - Note it down as it will only display once.\n\n5. **Enter API Key**:\n - Input your key in the OpenAI API Key field within the component setup.\n\nKeep your key safe and manage it responsibly!", | |
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| "documentation": "", | |
| "template": { | |
| "backgroundColor": "rose" | |
| } | |
| }, | |
| "type": "note" | |
| }, | |
| "dragging": false, | |
| "height": 324, | |
| "id": "note-b1YaN", | |
| "position": { | |
| "x": 1703.974189852056, | |
| "y": 125.15366878585462 | |
| }, | |
| "positionAbsolute": { | |
| "x": 1703.974189852056, | |
| "y": 125.15366878585462 | |
| }, | |
| "resizing": false, | |
| "selected": false, | |
| "style": { | |
| "height": 324, | |
| "width": 343 | |
| }, | |
| "type": "noteNode", | |
| "width": 343 | |
| } | |
| ], | |
| "viewport": { | |
| "x": 94.80835919355627, | |
| "y": 105.45081997045315, | |
| "zoom": 0.5284811262210728 | |
| } | |
| }, | |
| "description": "starterProjects.blogWriter.description", | |
| "endpoint_name": null, | |
| "gradient": "4", | |
| "icon": "NotebookPen", | |
| "id": "8b12aa0f-8b59-4806-a01f-5e545b5b1688", | |
| "is_component": false, | |
| "last_tested_version": "1.0.19.post2", | |
| "name": "starterProjects.blogWriter.name", | |
| "tags": [ | |
| "chatbots", | |
| "content-generation" | |
| ] | |
| } |