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"reactflow__edge-CrewAIAgentComponent-UMpxO{œdataTypeœ:œCrewAIAgentComponentœ,œidœ:œCrewAIAgentComponent-UMpxOœ,œnameœ:œoutputœ,œoutput_typesœ:[œAgentœ]}-HierarchicalCrewComponent-Y0Uvf{œfieldNameœ:œagentsœ,œidœ:œHierarchicalCrewComponent-Y0Uvfœ,œinputTypesœ:[œAgentœ],œtypeœ:œotherœ}", "source": "CrewAIAgentComponent-UMpxO", "sourceHandle": "{œdataTypeœ: œCrewAIAgentComponentœ, œidœ: œCrewAIAgentComponent-UMpxOœ, œnameœ: œoutputœ, œoutput_typesœ: [œAgentœ]}", "target": "HierarchicalCrewComponent-Y0Uvf", "targetHandle": "{œfieldNameœ: œagentsœ, œidœ: œHierarchicalCrewComponent-Y0Uvfœ, œinputTypesœ: [œAgentœ], œtypeœ: œotherœ}" }, { "className": "", "data": { "sourceHandle": { "dataType": "OpenAIModel", "id": "OpenAIModel-Yjtpu", "name": "model_output", "output_types": [ "LanguageModel" ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-UMpxO", "inputTypes": [ "LanguageModel" ], "type": "other" } }, "id": "reactflow__edge-OpenAIModel-Yjtpu{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Yjtpuœ,œnameœ:œmodel_outputœ,œoutput_typesœ:[œLanguageModelœ]}-CrewAIAgentComponent-UMpxO{œfieldNameœ:œllmœ,œidœ:œCrewAIAgentComponent-UMpxOœ,œinputTypesœ:[œLanguageModelœ],œtypeœ:œotherœ}", "source": "OpenAIModel-Yjtpu", "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-Yjtpuœ, œnameœ: œmodel_outputœ, œoutput_typesœ: [œLanguageModelœ]}", "target": "CrewAIAgentComponent-UMpxO", "targetHandle": "{œfieldNameœ: œllmœ, œidœ: œCrewAIAgentComponent-UMpxOœ, œinputTypesœ: [œLanguageModelœ], œtypeœ: œotherœ}" }, { "className": "", "data": { "sourceHandle": { "dataType": "SearchAPI", "id": "SearchAPI-Yokat", "name": "api_build_tool", "output_types": [ "Tool" ] }, "targetHandle": { "fieldName": "tools", "id": "CrewAIAgentComponent-EbpXd", "inputTypes": [ "Tool" ], "type": "other" } }, "id": "reactflow__edge-SearchAPI-Yokat{œdataTypeœ:œSearchAPIœ,œidœ:œSearchAPI-Yokatœ,œnameœ:œapi_build_toolœ,œoutput_typesœ:[œToolœ]}-CrewAIAgentComponent-EbpXd{œfieldNameœ:œtoolsœ,œidœ:œCrewAIAgentComponent-EbpXdœ,œinputTypesœ:[œToolœ],œtypeœ:œotherœ}", "source": "SearchAPI-Yokat", "sourceHandle": "{œdataTypeœ: œSearchAPIœ, œidœ: œSearchAPI-Yokatœ, œnameœ: œapi_build_toolœ, œoutput_typesœ: [œToolœ]}", "target": "CrewAIAgentComponent-EbpXd", "targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œCrewAIAgentComponent-EbpXdœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}" } ], "nodes": [ { "data": { "description": "Represents a group of agents, defining how they should collaborate and the tasks they should perform.", "display_name": "Hierarchical Crew", "id": "HierarchicalCrewComponent-Y0Uvf", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Represents a group of agents, defining how they should collaborate and the tasks they should perform.", "display_name": "Hierarchical Crew", "documentation": "", "edited": false, "field_order": [ "verbose", "memory", "use_cache", "max_rpm", "share_crew", "function_calling_llm", "agents", "tasks", "manager_llm", "manager_agent" ], "frozen": false, "icon": "CrewAI", "legacy": false, "metadata": {}, "output_types": [], "outputs": [ { "cache": true, "display_name": "Output", "method": "build_output", "name": "output", "required_inputs": [], "selected": "Message", "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "agents": { "advanced": false, "display_name": "Agents", "dynamic": false, "info": "", "input_types": [ "Agent" ], "list": true, "name": "agents", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "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 crewai import Crew, Process\n\nfrom langflow.base.agents.crewai.crew import BaseCrewComponent\nfrom langflow.io import HandleInput\n\n\nclass HierarchicalCrewComponent(BaseCrewComponent):\n display_name: str = \"Hierarchical Crew\"\n description: str = (\n \"Represents a group of agents, defining how they should collaborate and the tasks they should perform.\"\n )\n documentation: str = \"https://docs.crewai.com/how-to/Hierarchical/\"\n icon = \"CrewAI\"\n\n inputs = [\n *BaseCrewComponent._base_inputs,\n HandleInput(name=\"agents\", display_name=\"Agents\", input_types=[\"Agent\"], is_list=True),\n HandleInput(name=\"tasks\", display_name=\"Tasks\", input_types=[\"HierarchicalTask\"], is_list=True),\n HandleInput(name=\"manager_llm\", display_name=\"Manager LLM\", input_types=[\"LanguageModel\"], required=False),\n HandleInput(name=\"manager_agent\", display_name=\"Manager Agent\", input_types=[\"Agent\"], required=False),\n ]\n\n def build_crew(self) -> Crew:\n tasks, agents = self.get_tasks_and_agents()\n return Crew(\n agents=agents,\n tasks=tasks,\n process=Process.hierarchical,\n verbose=self.verbose,\n memory=self.memory,\n cache=self.use_cache,\n max_rpm=self.max_rpm,\n share_crew=self.share_crew,\n function_calling_llm=self.function_calling_llm,\n manager_agent=self.manager_agent,\n manager_llm=self.manager_llm,\n step_callback=self.get_step_callback(),\n task_callback=self.get_task_callback(),\n )\n" }, "function_calling_llm": { "advanced": true, "display_name": "Function Calling LLM", "dynamic": false, "info": "Turns the ReAct CrewAI agent into a function-calling agent", "input_types": [ "LanguageModel" ], "list": false, "name": "function_calling_llm", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "manager_agent": { "advanced": false, "display_name": "Manager Agent", "dynamic": false, "info": "", "input_types": [ "Agent" ], "list": false, "name": "manager_agent", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "manager_llm": { "advanced": false, "display_name": "Manager LLM", "dynamic": false, "info": "", "input_types": [ "LanguageModel" ], "list": false, "name": "manager_llm", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "max_rpm": { "advanced": true, "display_name": "Max RPM", "dynamic": false, "info": "", "list": false, "name": "max_rpm", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "int", "value": 100 }, "memory": { "advanced": true, "display_name": "Memory", "dynamic": false, "info": "", "list": false, "name": "memory", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": false }, "share_crew": { "advanced": true, "display_name": "Share Crew", "dynamic": false, "info": "", "list": false, "name": "share_crew", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": false }, "tasks": { "advanced": false, "display_name": "Tasks", "dynamic": false, "info": "", "input_types": [ "HierarchicalTask" ], "list": true, "name": "tasks", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "use_cache": { "advanced": true, "display_name": "Cache", "dynamic": false, "info": "", "list": false, "name": "use_cache", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": true }, "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": "int", "value": 0 } } }, "type": "HierarchicalCrewComponent" }, "dragging": false, "height": 516, "id": "HierarchicalCrewComponent-Y0Uvf", "position": { "x": 568, "y": 352.296875 }, "selected": false, "type": "genericNode", "width": 432 }, { "data": { "description": "Generates text using OpenAI LLMs.", "display_name": "OpenAI", "id": "OpenAIModel-Yjtpu", "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-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" ] }