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langflow/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json
Lucas Oliveira ab71e2fa15
 fix: upgraded agent tool mode switch ux, fixed icon color on main page, fixed pagination ui on main page (#4501) 
* Added bg background for icon on Agent

* Changed system prompt description

* Added toggle to node toolbar for tool mode

* Removed copy from node toolbar

* Fixed node last output border

* Removed beta tag from agent

* remove text foreground from grid

* updated paginator style

* Fixed pagination element disposition on main page

* Fixed node icon

* Removed storeComponent from pagination

* removed storeComponent from paginator type

* Fixed canvas dots color

* Changed pagination design

* fixed gap

* Fix minimized state on components that have a custom icon

* Fixed exibition of flow running state to not make the header jump

* Fixed starter flows
2024-11-12 16:31:36 +00:00

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},
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],
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},
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"placeholder": "",
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},
"memory": {
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},
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},
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],
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},
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},
"verbose": {
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"display_name": "Verbose",
"dynamic": false,
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"name": "verbose",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "int",
"value": 0
}
}
},
"type": "HierarchicalCrewComponent"
},
"dragging": false,
"height": 516,
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},
"selected": false,
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},
{
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"id": "OpenAIModel-Yjtpu",
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],
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],
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"icon": "OpenAI",
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"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, FloatInput, IntInput, SecretStrInput, 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 FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\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"
},
"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": "",
"load_from_db": false,
"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": true,
"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": true,
"display_name": "System Message",
"dynamic": false,
"info": "System message to pass to the model.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "system_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"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": 700,
"id": "OpenAIModel-Yjtpu",
"position": {
"x": -1222.8457213471152,
"y": 699.9983009041272
},
"positionAbsolute": {
"x": -1222.8457213471152,
"y": 699.9983009041272
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output",
"id": "ChatOutput-VzVJK",
"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",
"should_store_message",
"sender",
"sender_name",
"session_id",
"data_template"
],
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"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 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\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 = 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": {
"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": 347,
"id": "ChatOutput-VzVJK",
"position": {
"x": 1070.9148596889393,
"y": 499.80777483894144
},
"positionAbsolute": {
"x": 1070.9148596889393,
"y": 499.80777483894144
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Each task must have a description, an expected output and an agent responsible for execution.",
"display_name": "Hierarchical Task",
"id": "HierarchicalTaskComponent-hE8H5",
"node": {
"base_classes": [
"HierarchicalTask"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Each task must have a description, an expected output and an agent responsible for execution.",
"display_name": "Hierarchical Task",
"documentation": "",
"edited": false,
"field_order": [
"task_description",
"expected_output",
"tools"
],
"frozen": false,
"icon": "CrewAI",
"legacy": false,
"metadata": {},
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Task",
"method": "build_task",
"name": "task_output",
"selected": "HierarchicalTask",
"types": [
"HierarchicalTask"
],
"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.agents.crewai.tasks import HierarchicalTask\nfrom langflow.custom import Component\nfrom langflow.io import HandleInput, MultilineInput, Output\n\n\nclass HierarchicalTaskComponent(Component):\n display_name: str = \"Hierarchical Task\"\n description: str = \"Each task must have a description, an expected output and an agent responsible for execution.\"\n icon = \"CrewAI\"\n inputs = [\n MultilineInput(\n name=\"task_description\",\n display_name=\"Description\",\n info=\"Descriptive text detailing task's purpose and execution.\",\n ),\n MultilineInput(\n name=\"expected_output\",\n display_name=\"Expected Output\",\n info=\"Clear definition of expected task outcome.\",\n ),\n HandleInput(\n name=\"tools\",\n display_name=\"Tools\",\n input_types=[\"Tool\"],\n is_list=True,\n info=\"List of tools/resources limited for task execution. Uses the Agent tools by default.\",\n required=False,\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Task\", name=\"task_output\", method=\"build_task\"),\n ]\n\n def build_task(self) -> HierarchicalTask:\n task = HierarchicalTask(\n description=self.task_description,\n expected_output=self.expected_output,\n tools=self.tools or [],\n )\n self.status = task\n return task\n"
},
"expected_output": {
"advanced": false,
"display_name": "Expected Output",
"dynamic": false,
"info": "Clear definition of expected task outcome.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "expected_output",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Succinct response that answers the User's query."
},
"task_description": {
"advanced": false,
"display_name": "Description",
"dynamic": false,
"info": "Descriptive text detailing task's purpose and execution.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "task_description",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": ""
},
"tools": {
"advanced": true,
"display_name": "Tools",
"dynamic": false,
"info": "List of tools/resources limited for task execution. Uses the Agent tools by default.",
"input_types": [
"Tool"
],
"list": true,
"name": "tools",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": ""
}
}
},
"type": "HierarchicalTaskComponent"
},
"dragging": false,
"height": 480,
"id": "HierarchicalTaskComponent-hE8H5",
"position": {
"x": 63.673086094601445,
"y": -375.5883288441139
},
"positionAbsolute": {
"x": 63.673086094601445,
"y": -375.5883288441139
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"id": "CrewAIAgentComponent-EbpXd",
"node": {
"base_classes": [
"Agent"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"documentation": "https://docs.crewai.com/how-to/LLM-Connections/",
"edited": false,
"field_order": [
"role",
"goal",
"backstory",
"tools",
"llm",
"memory",
"verbose",
"allow_delegation",
"allow_code_execution",
"kwargs"
],
"frozen": false,
"icon": "CrewAI",
"legacy": false,
"metadata": {},
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Agent",
"method": "build_output",
"name": "output",
"selected": "Agent",
"types": [
"Agent"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"allow_code_execution": {
"advanced": true,
"display_name": "Allow Code Execution",
"dynamic": false,
"info": "Whether the agent is allowed to execute code.",
"list": false,
"name": "allow_code_execution",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
},
"allow_delegation": {
"advanced": false,
"display_name": "Allow Delegation",
"dynamic": false,
"info": "Whether the agent is allowed to delegate tasks to other agents.",
"list": false,
"name": "allow_delegation",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"backstory": {
"advanced": false,
"display_name": "Backstory",
"dynamic": false,
"info": "The backstory of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "backstory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "You are a reliable researcher and journalist "
},
"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 crewai import Agent\n\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, DictInput, HandleInput, MultilineInput, Output\n\n\nclass CrewAIAgentComponent(Component):\n display_name = \"CrewAI Agent\"\n description = \"Represents an agent of CrewAI.\"\n documentation: str = \"https://docs.crewai.com/how-to/LLM-Connections/\"\n icon = \"CrewAI\"\n\n inputs = [\n MultilineInput(name=\"role\", display_name=\"Role\", info=\"The role of the agent.\"),\n MultilineInput(name=\"goal\", display_name=\"Goal\", info=\"The objective of the agent.\"),\n MultilineInput(name=\"backstory\", display_name=\"Backstory\", info=\"The backstory of the agent.\"),\n HandleInput(\n name=\"tools\",\n display_name=\"Tools\",\n input_types=[\"Tool\"],\n is_list=True,\n info=\"Tools at agents disposal\",\n value=[],\n ),\n HandleInput(\n name=\"llm\",\n display_name=\"Language Model\",\n info=\"Language model that will run the agent.\",\n input_types=[\"LanguageModel\"],\n ),\n BoolInput(\n name=\"memory\",\n display_name=\"Memory\",\n info=\"Whether the agent should have memory or not\",\n advanced=True,\n value=True,\n ),\n BoolInput(\n name=\"verbose\",\n display_name=\"Verbose\",\n advanced=True,\n value=False,\n ),\n BoolInput(\n name=\"allow_delegation\",\n display_name=\"Allow Delegation\",\n info=\"Whether the agent is allowed to delegate tasks to other agents.\",\n value=True,\n ),\n BoolInput(\n name=\"allow_code_execution\",\n display_name=\"Allow Code Execution\",\n info=\"Whether the agent is allowed to execute code.\",\n value=False,\n advanced=True,\n ),\n DictInput(\n name=\"kwargs\",\n display_name=\"kwargs\",\n info=\"kwargs of agent.\",\n is_list=True,\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Agent\", name=\"output\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Agent:\n kwargs = self.kwargs or {}\n agent = Agent(\n role=self.role,\n goal=self.goal,\n backstory=self.backstory,\n llm=self.llm,\n verbose=self.verbose,\n memory=self.memory,\n tools=self.tools or [],\n allow_delegation=self.allow_delegation,\n allow_code_execution=self.allow_code_execution,\n **kwargs,\n )\n self.status = repr(agent)\n return agent\n"
},
"goal": {
"advanced": false,
"display_name": "Goal",
"dynamic": false,
"info": "The objective of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "goal",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Search for information about the User's query and answer as best as you can"
},
"kwargs": {
"advanced": true,
"display_name": "kwargs",
"dynamic": false,
"info": "kwargs of agent.",
"list": true,
"name": "kwargs",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"type": "dict",
"value": {}
},
"llm": {
"advanced": false,
"display_name": "Language Model",
"dynamic": false,
"info": "Language model that will run the agent.",
"input_types": [
"LanguageModel"
],
"list": false,
"name": "llm",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": ""
},
"memory": {
"advanced": true,
"display_name": "Memory",
"dynamic": false,
"info": "Whether the agent should have memory or not",
"list": false,
"name": "memory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"role": {
"advanced": false,
"display_name": "Role",
"dynamic": false,
"info": "The role of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "role",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Research"
},
"tools": {
"advanced": false,
"display_name": "Tools",
"dynamic": false,
"info": "Tools at agents disposal",
"input_types": [
"Tool"
],
"list": true,
"name": "tools",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": []
},
"verbose": {
"advanced": true,
"display_name": "Verbose",
"dynamic": false,
"info": "",
"list": false,
"name": "verbose",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
}
}
},
"type": "CrewAIAgentComponent"
},
"dragging": false,
"height": 746,
"id": "CrewAIAgentComponent-EbpXd",
"position": {
"x": -479.3544836211363,
"y": 184.85118314299666
},
"positionAbsolute": {
"x": -479.3544836211363,
"y": 184.85118314299666
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"id": "CrewAIAgentComponent-9D8ao",
"node": {
"base_classes": [
"Agent"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"documentation": "https://docs.crewai.com/how-to/LLM-Connections/",
"edited": false,
"field_order": [
"role",
"goal",
"backstory",
"tools",
"llm",
"memory",
"verbose",
"allow_delegation",
"allow_code_execution",
"kwargs"
],
"frozen": false,
"icon": "CrewAI",
"legacy": false,
"metadata": {},
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Agent",
"method": "build_output",
"name": "output",
"selected": "Agent",
"types": [
"Agent"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"allow_code_execution": {
"advanced": true,
"display_name": "Allow Code Execution",
"dynamic": false,
"info": "Whether the agent is allowed to execute code.",
"list": false,
"name": "allow_code_execution",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
},
"allow_delegation": {
"advanced": false,
"display_name": "Allow Delegation",
"dynamic": false,
"info": "Whether the agent is allowed to delegate tasks to other agents.",
"list": false,
"name": "allow_delegation",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"backstory": {
"advanced": false,
"display_name": "Backstory",
"dynamic": false,
"info": "The backstory of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "backstory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "You are polite and helpful. You've always been a beacon of politeness."
},
"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 crewai import Agent\n\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, DictInput, HandleInput, MultilineInput, Output\n\n\nclass CrewAIAgentComponent(Component):\n display_name = \"CrewAI Agent\"\n description = \"Represents an agent of CrewAI.\"\n documentation: str = \"https://docs.crewai.com/how-to/LLM-Connections/\"\n icon = \"CrewAI\"\n\n inputs = [\n MultilineInput(name=\"role\", display_name=\"Role\", info=\"The role of the agent.\"),\n MultilineInput(name=\"goal\", display_name=\"Goal\", info=\"The objective of the agent.\"),\n MultilineInput(name=\"backstory\", display_name=\"Backstory\", info=\"The backstory of the agent.\"),\n HandleInput(\n name=\"tools\",\n display_name=\"Tools\",\n input_types=[\"Tool\"],\n is_list=True,\n info=\"Tools at agents disposal\",\n value=[],\n ),\n HandleInput(\n name=\"llm\",\n display_name=\"Language Model\",\n info=\"Language model that will run the agent.\",\n input_types=[\"LanguageModel\"],\n ),\n BoolInput(\n name=\"memory\",\n display_name=\"Memory\",\n info=\"Whether the agent should have memory or not\",\n advanced=True,\n value=True,\n ),\n BoolInput(\n name=\"verbose\",\n display_name=\"Verbose\",\n advanced=True,\n value=False,\n ),\n BoolInput(\n name=\"allow_delegation\",\n display_name=\"Allow Delegation\",\n info=\"Whether the agent is allowed to delegate tasks to other agents.\",\n value=True,\n ),\n BoolInput(\n name=\"allow_code_execution\",\n display_name=\"Allow Code Execution\",\n info=\"Whether the agent is allowed to execute code.\",\n value=False,\n advanced=True,\n ),\n DictInput(\n name=\"kwargs\",\n display_name=\"kwargs\",\n info=\"kwargs of agent.\",\n is_list=True,\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Agent\", name=\"output\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Agent:\n kwargs = self.kwargs or {}\n agent = Agent(\n role=self.role,\n goal=self.goal,\n backstory=self.backstory,\n llm=self.llm,\n verbose=self.verbose,\n memory=self.memory,\n tools=self.tools or [],\n allow_delegation=self.allow_delegation,\n allow_code_execution=self.allow_code_execution,\n **kwargs,\n )\n self.status = repr(agent)\n return agent\n"
},
"goal": {
"advanced": false,
"display_name": "Goal",
"dynamic": false,
"info": "The objective of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "goal",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "You can answer general questions from the User and may call others for help if needed."
},
"kwargs": {
"advanced": true,
"display_name": "kwargs",
"dynamic": false,
"info": "kwargs of agent.",
"list": true,
"name": "kwargs",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"type": "dict",
"value": {}
},
"llm": {
"advanced": false,
"display_name": "Language Model",
"dynamic": false,
"info": "Language model that will run the agent.",
"input_types": [
"LanguageModel"
],
"list": false,
"name": "llm",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": ""
},
"memory": {
"advanced": true,
"display_name": "Memory",
"dynamic": false,
"info": "Whether the agent should have memory or not",
"list": false,
"name": "memory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"role": {
"advanced": false,
"display_name": "Role",
"dynamic": false,
"info": "The role of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "role",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Manager"
},
"tools": {
"advanced": false,
"display_name": "Tools",
"dynamic": false,
"info": "Tools at agents disposal",
"input_types": [
"Tool"
],
"list": true,
"name": "tools",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": []
},
"verbose": {
"advanced": true,
"display_name": "Verbose",
"dynamic": false,
"info": "",
"list": false,
"name": "verbose",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
}
}
},
"type": "CrewAIAgentComponent"
},
"dragging": false,
"height": 746,
"id": "CrewAIAgentComponent-9D8ao",
"position": {
"x": -451.69853654304495,
"y": 1664.003205846104
},
"positionAbsolute": {
"x": -451.69853654304495,
"y": 1664.003205846104
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Generates text using OpenAI LLMs.",
"display_name": "OpenAI",
"id": "OpenAIModel-HgNnu",
"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",
"system_message",
"stream",
"max_tokens",
"model_kwargs",
"json_mode",
"output_schema",
"model_name",
"openai_api_base",
"api_key",
"temperature",
"seed"
],
"frozen": false,
"icon": "OpenAI",
"legacy": false,
"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": {
"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": ""
},
"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, FloatInput, IntInput, SecretStrInput, 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 FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\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"
},
"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": "",
"load_from_db": false,
"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": true,
"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": true,
"display_name": "System Message",
"dynamic": false,
"info": "System message to pass to the model.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "system_message",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"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": 700,
"id": "OpenAIModel-HgNnu",
"position": {
"x": -1157.0105401589535,
"y": 1699.4665001507685
},
"positionAbsolute": {
"x": -1157.0105401589535,
"y": 1699.4665001507685
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"id": "Prompt-eqGhn",
"node": {
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {
"template": [
"query"
]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"documentation": "",
"edited": false,
"error": null,
"field_order": [
"template"
],
"frozen": false,
"full_path": null,
"icon": "prompts",
"is_composition": null,
"is_input": null,
"is_output": null,
"legacy": false,
"metadata": {},
"name": "",
"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 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 ]\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"
},
"query": {
"advanced": false,
"display_name": "query",
"dynamic": false,
"field_type": "str",
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": [
"Message",
"Text"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "query",
"password": false,
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"type": "str",
"value": ""
},
"template": {
"advanced": false,
"display_name": "Template",
"dynamic": false,
"info": "",
"list": false,
"name": "template",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"type": "prompt",
"value": "User's query:\n{query}\n\nRespond to the user with as much as information as you can about the topic. Delete if needed. If it is just a general query (e.g a greeting) you can respond them directly."
}
}
},
"type": "Prompt"
},
"dragging": false,
"height": 475,
"id": "Prompt-eqGhn",
"position": {
"x": -561.9017558579421,
"y": -433.5913161630874
},
"positionAbsolute": {
"x": -561.9017558579421,
"y": -433.5913161630874
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"id": "ChatInput-xgRl9",
"node": {
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input",
"documentation": "",
"edited": false,
"field_order": [
"input_value",
"should_store_message",
"sender",
"sender_name",
"session_id",
"files"
],
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"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.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\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_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\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 FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\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(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n _background_color = self.background_color\n _text_color = self.text_color\n _icon = self.chat_icon\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n properties={\"background_color\": _background_color, \"text_color\": _text_color, \"icon\": _icon},\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = 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"
},
"files": {
"advanced": true,
"display_name": "Files",
"dynamic": false,
"fileTypes": [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
"docx",
"py",
"sh",
"sql",
"js",
"ts",
"tsx",
"jpg",
"jpeg",
"png",
"bmp",
"image"
],
"file_path": "",
"info": "Files to be sent with the message.",
"list": true,
"name": "files",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "file",
"value": ""
},
"input_value": {
"advanced": false,
"display_name": "Text",
"dynamic": false,
"info": "Message 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": "What is Langflow?"
},
"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": "User"
},
"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": "User"
},
"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": {
"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": "ChatInput"
},
"dragging": false,
"height": 347,
"id": "ChatInput-xgRl9",
"position": {
"x": -1227.1161422332996,
"y": -380.26504479310324
},
"positionAbsolute": {
"x": -1227.1161422332996,
"y": -380.26504479310324
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"id": "CrewAIAgentComponent-UMpxO",
"node": {
"base_classes": [
"Agent"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Represents an agent of CrewAI.",
"display_name": "CrewAI Agent",
"documentation": "https://docs.crewai.com/how-to/LLM-Connections/",
"edited": false,
"field_order": [
"role",
"goal",
"backstory",
"tools",
"llm",
"memory",
"verbose",
"allow_delegation",
"allow_code_execution",
"kwargs"
],
"frozen": false,
"icon": "CrewAI",
"legacy": false,
"metadata": {},
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Agent",
"method": "build_output",
"name": "output",
"selected": "Agent",
"types": [
"Agent"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"allow_code_execution": {
"advanced": true,
"display_name": "Allow Code Execution",
"dynamic": false,
"info": "Whether the agent is allowed to execute code.",
"list": false,
"name": "allow_code_execution",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
},
"allow_delegation": {
"advanced": false,
"display_name": "Allow Delegation",
"dynamic": false,
"info": "Whether the agent is allowed to delegate tasks to other agents.",
"list": false,
"name": "allow_delegation",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"backstory": {
"advanced": false,
"display_name": "Backstory",
"dynamic": false,
"info": "The backstory of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "backstory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "You are a reliable researcher and journalist "
},
"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 crewai import Agent\n\nfrom langflow.custom import Component\nfrom langflow.io import BoolInput, DictInput, HandleInput, MultilineInput, Output\n\n\nclass CrewAIAgentComponent(Component):\n display_name = \"CrewAI Agent\"\n description = \"Represents an agent of CrewAI.\"\n documentation: str = \"https://docs.crewai.com/how-to/LLM-Connections/\"\n icon = \"CrewAI\"\n\n inputs = [\n MultilineInput(name=\"role\", display_name=\"Role\", info=\"The role of the agent.\"),\n MultilineInput(name=\"goal\", display_name=\"Goal\", info=\"The objective of the agent.\"),\n MultilineInput(name=\"backstory\", display_name=\"Backstory\", info=\"The backstory of the agent.\"),\n HandleInput(\n name=\"tools\",\n display_name=\"Tools\",\n input_types=[\"Tool\"],\n is_list=True,\n info=\"Tools at agents disposal\",\n value=[],\n ),\n HandleInput(\n name=\"llm\",\n display_name=\"Language Model\",\n info=\"Language model that will run the agent.\",\n input_types=[\"LanguageModel\"],\n ),\n BoolInput(\n name=\"memory\",\n display_name=\"Memory\",\n info=\"Whether the agent should have memory or not\",\n advanced=True,\n value=True,\n ),\n BoolInput(\n name=\"verbose\",\n display_name=\"Verbose\",\n advanced=True,\n value=False,\n ),\n BoolInput(\n name=\"allow_delegation\",\n display_name=\"Allow Delegation\",\n info=\"Whether the agent is allowed to delegate tasks to other agents.\",\n value=True,\n ),\n BoolInput(\n name=\"allow_code_execution\",\n display_name=\"Allow Code Execution\",\n info=\"Whether the agent is allowed to execute code.\",\n value=False,\n advanced=True,\n ),\n DictInput(\n name=\"kwargs\",\n display_name=\"kwargs\",\n info=\"kwargs of agent.\",\n is_list=True,\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Agent\", name=\"output\", method=\"build_output\"),\n ]\n\n def build_output(self) -> Agent:\n kwargs = self.kwargs or {}\n agent = Agent(\n role=self.role,\n goal=self.goal,\n backstory=self.backstory,\n llm=self.llm,\n verbose=self.verbose,\n memory=self.memory,\n tools=self.tools or [],\n allow_delegation=self.allow_delegation,\n allow_code_execution=self.allow_code_execution,\n **kwargs,\n )\n self.status = repr(agent)\n return agent\n"
},
"goal": {
"advanced": false,
"display_name": "Goal",
"dynamic": false,
"info": "The objective of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "goal",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Evaluate the information for misleading or biased data."
},
"kwargs": {
"advanced": true,
"display_name": "kwargs",
"dynamic": false,
"info": "kwargs of agent.",
"list": true,
"name": "kwargs",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"type": "dict",
"value": {}
},
"llm": {
"advanced": false,
"display_name": "Language Model",
"dynamic": false,
"info": "Language model that will run the agent.",
"input_types": [
"LanguageModel"
],
"list": false,
"name": "llm",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": ""
},
"memory": {
"advanced": true,
"display_name": "Memory",
"dynamic": false,
"info": "Whether the agent should have memory or not",
"list": false,
"name": "memory",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": true
},
"role": {
"advanced": false,
"display_name": "Role",
"dynamic": false,
"info": "The role of the agent.",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
"name": "role",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "Editor"
},
"tools": {
"advanced": false,
"display_name": "Tools",
"dynamic": false,
"info": "Tools at agents disposal",
"input_types": [
"Tool"
],
"list": true,
"name": "tools",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "other",
"value": []
},
"verbose": {
"advanced": true,
"display_name": "Verbose",
"dynamic": false,
"info": "",
"list": false,
"name": "verbose",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "bool",
"value": false
}
}
},
"type": "CrewAIAgentComponent"
},
"dragging": false,
"height": 746,
"id": "CrewAIAgentComponent-UMpxO",
"position": {
"x": -397.2627184897183,
"y": 892.6280687419107
},
"positionAbsolute": {
"x": -397.2627184897183,
"y": 892.6280687419107
},
"selected": false,
"type": "genericNode",
"width": 432
},
{
"data": {
"id": "SearchAPI-Yokat",
"node": {
"base_classes": [
"Data",
"Tool"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
"description": "Call the searchapi.io API with result limiting",
"display_name": "Search API",
"documentation": "https://www.searchapi.io/docs/google",
"edited": false,
"field_order": [
"engine",
"api_key",
"input_value",
"search_params"
],
"frozen": false,
"legacy": false,
"metadata": {},
"output_types": [],
"outputs": [
{
"cache": true,
"display_name": "Data",
"method": "run_model",
"name": "api_run_model",
"required_inputs": [
"api_key"
],
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Tool",
"method": "build_tool",
"name": "api_build_tool",
"required_inputs": [
"api_key"
],
"selected": "Tool",
"types": [
"Tool"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
"template": {
"_type": "Component",
"api_key": {
"advanced": false,
"display_name": "SearchAPI API Key",
"dynamic": false,
"info": "",
"input_types": [
"Message"
],
"load_from_db": true,
"name": "api_key",
"password": true,
"placeholder": "",
"required": true,
"show": true,
"title_case": false,
"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 typing import Any\n\nfrom langchain.tools import StructuredTool\nfrom langchain_community.utilities.searchapi import SearchApiAPIWrapper\nfrom pydantic import BaseModel, Field\n\nfrom langflow.base.langchain_utilities.model import LCToolComponent\nfrom langflow.field_typing import Tool\nfrom langflow.inputs import DictInput, IntInput, MessageTextInput, MultilineInput, SecretStrInput\nfrom langflow.schema import Data\n\n\nclass SearchAPIComponent(LCToolComponent):\n display_name: str = \"Search API\"\n description: str = \"Call the searchapi.io API with result limiting\"\n name = \"SearchAPI\"\n documentation: str = \"https://www.searchapi.io/docs/google\"\n\n inputs = [\n MessageTextInput(name=\"engine\", display_name=\"Engine\", value=\"google\"),\n SecretStrInput(name=\"api_key\", display_name=\"SearchAPI API Key\", required=True),\n MultilineInput(\n name=\"input_value\",\n display_name=\"Input\",\n ),\n DictInput(name=\"search_params\", display_name=\"Search parameters\", advanced=True, is_list=True),\n IntInput(name=\"max_results\", display_name=\"Max Results\", value=5, advanced=True),\n IntInput(name=\"max_snippet_length\", display_name=\"Max Snippet Length\", value=100, advanced=True),\n ]\n\n class SearchAPISchema(BaseModel):\n query: str = Field(..., description=\"The search query\")\n params: dict[str, Any] = Field(default_factory=dict, description=\"Additional search parameters\")\n max_results: int = Field(5, description=\"Maximum number of results to return\")\n max_snippet_length: int = Field(100, description=\"Maximum length of each result snippet\")\n\n def _build_wrapper(self):\n return SearchApiAPIWrapper(engine=self.engine, searchapi_api_key=self.api_key)\n\n def build_tool(self) -> Tool:\n wrapper = self._build_wrapper()\n\n def search_func(\n query: str, params: dict[str, Any] | None = None, max_results: int = 5, max_snippet_length: int = 100\n ) -> list[dict[str, Any]]:\n params = params or {}\n full_results = wrapper.results(query=query, **params)\n organic_results = full_results.get(\"organic_results\", [])[:max_results]\n\n limited_results = []\n for result in organic_results:\n limited_result = {\n \"title\": result.get(\"title\", \"\")[:max_snippet_length],\n \"link\": result.get(\"link\", \"\"),\n \"snippet\": result.get(\"snippet\", \"\")[:max_snippet_length],\n }\n limited_results.append(limited_result)\n\n return limited_results\n\n tool = StructuredTool.from_function(\n name=\"search_api\",\n description=\"Search for recent results using searchapi.io with result limiting\",\n func=search_func,\n args_schema=self.SearchAPISchema,\n )\n\n self.status = f\"Search API Tool created with engine: {self.engine}\"\n return tool\n\n def run_model(self) -> list[Data]:\n tool = self.build_tool()\n results = tool.run(\n {\n \"query\": self.input_value,\n \"params\": self.search_params or {},\n \"max_results\": self.max_results,\n \"max_snippet_length\": self.max_snippet_length,\n }\n )\n\n data_list = [Data(data=result, text=result.get(\"snippet\", \"\")) for result in results]\n\n self.status = data_list\n return data_list\n"
},
"engine": {
"advanced": false,
"display_name": "Engine",
"dynamic": false,
"info": "",
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "engine",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": "google"
},
"input_value": {
"advanced": false,
"display_name": "Input",
"dynamic": false,
"info": "",
"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": ""
},
"max_results": {
"_input_type": "IntInput",
"advanced": true,
"display_name": "Max Results",
"dynamic": false,
"info": "",
"list": false,
"name": "max_results",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "int",
"value": 5
},
"max_snippet_length": {
"_input_type": "IntInput",
"advanced": true,
"display_name": "Max Snippet Length",
"dynamic": false,
"info": "",
"list": false,
"name": "max_snippet_length",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_metadata": true,
"type": "int",
"value": 100
},
"search_params": {
"advanced": true,
"display_name": "Search parameters",
"dynamic": false,
"info": "",
"list": true,
"name": "search_params",
"placeholder": "",
"required": false,
"show": true,
"title_case": false,
"trace_as_input": true,
"type": "dict",
"value": {}
}
}
},
"type": "SearchAPI"
},
"dragging": false,
"height": 612,
"id": "SearchAPI-Yokat",
"position": {
"x": -1229.2392382339021,
"y": 59.93107827969652
},
"positionAbsolute": {
"x": -1229.2392382339021,
"y": 59.93107827969652
},
"selected": false,
"type": "genericNode",
"width": 432
}
],
"viewport": {
"x": 538.2178429916559,
"y": 231.5938714083456,
"zoom": 0.25005698994252296
}
},
"description": "This Agentic Flow has a Manager and a couple Workers. The manager can answer the user's question straightaway or delegate the task to other agents.",
"endpoint_name": null,
"icon": "GitFork",
"id": "6302081f-5af2-4b9f-bd19-2baaf7218ba6",
"is_component": false,
"last_tested_version": "1.0.12",
"name": "Hierarchical Tasks Agent",
"tags": [
"agents",
"openai",
"chatbots"
]
}
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