From d5f03a2159e1edd82a8069b1726a4ca6240a9bc9 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 25 Oct 2024 11:48:28 -0300 Subject: [PATCH] remove agent flow --- .../starter_projects/Agent Flow.json | 1466 ----------------- 1 file changed, 1466 deletions(-) delete mode 100644 src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json b/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json deleted file mode 100644 index 05219f2ea53..00000000000 --- a/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json +++ /dev/null @@ -1,1466 +0,0 @@ -{ - "data": { - "edges": [ - { - "className": "", - "data": { - "sourceHandle": { - "dataType": "ToolCallingAgent", - "id": "ToolCallingAgent-mf0BN", - "name": "response", - "output_types": [ - "Message" - ] - }, - "targetHandle": { - "fieldName": "input_value", - "id": "ChatOutput-Ag9YG", - "inputTypes": [ - "Message" - ], - "type": "str" - } - }, - "id": "reactflow__edge-ToolCallingAgent-mf0BN{œdataTypeœ:œToolCallingAgentœ,œidœ:œToolCallingAgent-mf0BNœ,œnameœ:œresponseœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-Ag9YG{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-Ag9YGœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "source": "ToolCallingAgent-mf0BN", - "sourceHandle": "{œdataTypeœ: œToolCallingAgentœ, œidœ: œToolCallingAgent-mf0BNœ, œnameœ: œresponseœ, œoutput_typesœ: [œMessageœ]}", - "target": "ChatOutput-Ag9YG", - "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-Ag9YGœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" - }, - { - "className": "", - "data": { - "sourceHandle": { - "dataType": "OpenAIModel", - "id": "OpenAIModel-1ioeW", - "name": "model_output", - "output_types": [ - "LanguageModel" - ] - }, - "targetHandle": { - "fieldName": "llm", - "id": "ToolCallingAgent-mf0BN", - "inputTypes": [ - "LanguageModel" - ], - "type": "other" - } - }, - "id": "reactflow__edge-OpenAIModel-1ioeW{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-1ioeWœ,œnameœ:œmodel_outputœ,œoutput_typesœ:[œLanguageModelœ]}-ToolCallingAgent-mf0BN{œfieldNameœ:œllmœ,œidœ:œToolCallingAgent-mf0BNœ,œinputTypesœ:[œLanguageModelœ],œtypeœ:œotherœ}", - "source": "OpenAIModel-1ioeW", - "sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-1ioeWœ, œnameœ: œmodel_outputœ, œoutput_typesœ: [œLanguageModelœ]}", - "target": "ToolCallingAgent-mf0BN", - "targetHandle": "{œfieldNameœ: œllmœ, œidœ: œToolCallingAgent-mf0BNœ, œinputTypesœ: [œLanguageModelœ], œtypeœ: œotherœ}" - }, - { - "className": "", - "data": { - "sourceHandle": { - "dataType": "CalculatorTool", - "id": "CalculatorTool-Nb4P5", - "name": "api_build_tool", - "output_types": [ - "Tool" - ] - }, - "targetHandle": { - "fieldName": "tools", - "id": "ToolCallingAgent-mf0BN", - "inputTypes": [ - "Tool" - ], - "type": "other" - } - }, - "id": "reactflow__edge-CalculatorTool-Nb4P5{œdataTypeœ:œCalculatorToolœ,œidœ:œCalculatorTool-Nb4P5œ,œnameœ:œapi_build_toolœ,œoutput_typesœ:[œToolœ]}-ToolCallingAgent-mf0BN{œfieldNameœ:œtoolsœ,œidœ:œToolCallingAgent-mf0BNœ,œinputTypesœ:[œToolœ,œBaseToolœ],œtypeœ:œotherœ}", - "source": "CalculatorTool-Nb4P5", - "sourceHandle": "{œdataTypeœ: œCalculatorToolœ, œidœ: œCalculatorTool-Nb4P5œ, œnameœ: œapi_build_toolœ, œoutput_typesœ: [œToolœ]}", - "target": "ToolCallingAgent-mf0BN", - "targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œToolCallingAgent-mf0BNœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}" - }, - { - "className": "", - "data": { - "sourceHandle": { - "dataType": "ChatInput", - "id": "ChatInput-X3ARP", - "name": "message", - "output_types": [ - "Message" - ] - }, - "targetHandle": { - "fieldName": "input_value", - "id": "ToolCallingAgent-mf0BN", - "inputTypes": [ - "Message" - ], - "type": "str" - } - }, - "id": "reactflow__edge-ChatInput-X3ARP{œdataTypeœ:œChatInputœ,œidœ:œChatInput-X3ARPœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-ToolCallingAgent-mf0BN{œfieldNameœ:œinput_valueœ,œidœ:œToolCallingAgent-mf0BNœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", - "source": "ChatInput-X3ARP", - "sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-X3ARPœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}", - "target": "ToolCallingAgent-mf0BN", - "targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œToolCallingAgent-mf0BNœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}" - }, - { - "data": { - "sourceHandle": { - "dataType": "PythonREPLTool", - "id": "PythonREPLTool-i922a", - "name": "api_build_tool", - "output_types": [ - "Tool" - ] - }, - "targetHandle": { - "fieldName": "tools", - "id": "ToolCallingAgent-mf0BN", - "inputTypes": [ - "Tool" - ], - "type": "other" - } - }, - "id": "reactflow__edge-PythonREPLTool-i922a{œdataTypeœ:œPythonREPLToolœ,œidœ:œPythonREPLTool-i922aœ,œnameœ:œapi_build_toolœ,œoutput_typesœ:[œToolœ]}-ToolCallingAgent-mf0BN{œfieldNameœ:œtoolsœ,œidœ:œToolCallingAgent-mf0BNœ,œinputTypesœ:[œToolœ,œBaseToolœ],œtypeœ:œotherœ}", - "source": "PythonREPLTool-i922a", - "sourceHandle": "{œdataTypeœ: œPythonREPLToolœ, œidœ: œPythonREPLTool-i922aœ, œnameœ: œapi_build_toolœ, œoutput_typesœ: [œToolœ]}", - "target": "ToolCallingAgent-mf0BN", - "targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œToolCallingAgent-mf0BNœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}" - } - ], - "nodes": [ - { - "data": { - "id": "ChatInput-X3ARP", - "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": "ChatInput", - "lf_version": "1.0.16", - "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", - "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 = \"ChatInput\"\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 ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\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 )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" - }, - "files": { - "_input_type": "FileInput", - "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": { - "_input_type": "MultilineInput", - "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": "Write a short python script to calculate 4+4, run it and display the result by printing it." - }, - "sender": { - "_input_type": "DropdownInput", - "advanced": true, - "combobox": false, - "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": { - "_input_type": "MessageTextInput", - "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": { - "_input_type": "MessageTextInput", - "advanced": true, - "display_name": "Session ID", - "dynamic": false, - "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "name": "session_id", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "" - }, - "should_store_message": { - "_input_type": "BoolInput", - "advanced": true, - "display_name": "Store Messages", - "dynamic": false, - "info": "Store the message in the history.", - "list": false, - "name": "should_store_message", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "bool", - "value": true - } - } - }, - "type": "ChatInput" - }, - "dragging": false, - "height": 302, - "id": "ChatInput-X3ARP", - "position": { - "x": 1760.192972923414, - "y": -191.51901724049213 - }, - "positionAbsolute": { - "x": 1760.192972923414, - "y": -191.51901724049213 - }, - "selected": false, - "type": "genericNode", - "width": 384 - }, - { - "data": { - "id": "ChatOutput-Ag9YG", - "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": "ChatOutput", - "lf_version": "1.0.16", - "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", - "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, MessageTextInput, Output\nfrom langflow.schema.message import Message\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 = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\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 ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\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 )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_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": { - "_input_type": "MessageTextInput", - "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": { - "_input_type": "MessageTextInput", - "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": { - "_input_type": "DropdownInput", - "advanced": true, - "combobox": false, - "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": { - "_input_type": "MessageTextInput", - "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": { - "_input_type": "MessageTextInput", - "advanced": true, - "display_name": "Session ID", - "dynamic": false, - "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "name": "session_id", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "" - }, - "should_store_message": { - "_input_type": "BoolInput", - "advanced": true, - "display_name": "Store Messages", - "dynamic": false, - "info": "Store the message in the history.", - "list": false, - "name": "should_store_message", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "bool", - "value": true - } - } - }, - "type": "ChatOutput" - }, - "dragging": false, - "height": 302, - "id": "ChatOutput-Ag9YG", - "position": { - "x": 3968.8870036313238, - "y": 627.770746142633 - }, - "positionAbsolute": { - "x": 3968.8870036313238, - "y": 627.770746142633 - }, - "selected": false, - "type": "genericNode", - "width": 384 - }, - { - "data": { - "description": "Generates text using OpenAI LLMs.", - "display_name": "OpenAI", - "id": "OpenAIModel-1ioeW", - "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", - "lf_version": "1.0.16", - "metadata": {}, - "output_types": [], - "outputs": [ - { - "cache": true, - "display_name": "Text", - "method": "text_response", - "name": "text_output", - "required_inputs": [ - "input_value", - "stream", - "system_message" - ], - "selected": "Message", - "types": [ - "Message" - ], - "value": "__UNDEFINED__" - }, - { - "cache": true, - "display_name": "Language Model", - "method": "build_model", - "name": "model_output", - "required_inputs": [ - "api_key", - "json_mode", - "max_tokens", - "model_kwargs", - "model_name", - "openai_api_base", - "output_schema", - "seed", - "temperature" - ], - "selected": "LanguageModel", - "types": [ - "LanguageModel" - ], - "value": "__UNDEFINED__" - } - ], - "pinned": false, - "template": { - "_type": "Component", - "api_key": { - "_input_type": "SecretStrInput", - "advanced": false, - "display_name": "OpenAI API Key", - "dynamic": false, - "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Message" - ], - "load_from_db": true, - "name": "api_key", - "password": true, - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "type": "str", - "value": "OPENAI_API_KEY" - }, - "code": { - "advanced": true, - "dynamic": true, - "fileTypes": [], - "file_path": "", - "info": "", - "list": false, - "load_from_db": false, - "multiline": true, - "name": "code", - "password": false, - "placeholder": "", - "required": true, - "show": true, - "title_case": false, - "type": "code", - "value": "import operator\nfrom functools import reduce\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langflow.inputs import BoolInput, DictInput, DropdownInput, 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(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\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": { - "_input_type": "MessageInput", - "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": { - "_input_type": "BoolInput", - "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": { - "_input_type": "IntInput", - "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": "", - "range_spec": { - "max": 128000, - "min": 0, - "step": 0.1, - "step_type": "float" - }, - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "int", - "value": "" - }, - "model_kwargs": { - "_input_type": "DictInput", - "advanced": true, - "display_name": "Model Kwargs", - "dynamic": false, - "info": "", - "list": false, - "name": "model_kwargs", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "type": "dict", - "value": {} - }, - "model_name": { - "_input_type": "DropdownInput", - "advanced": false, - "combobox": 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-mini" - }, - "openai_api_base": { - "_input_type": "StrInput", - "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": { - "_input_type": "DictInput", - "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": { - "_input_type": "IntInput", - "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": { - "_input_type": "BoolInput", - "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": { - "_input_type": "MessageTextInput", - "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": { - "_input_type": "FloatInput", - "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": 605, - "id": "OpenAIModel-1ioeW", - "position": { - "x": 2538.9919009235173, - "y": 1206.8619086167491 - }, - "positionAbsolute": { - "x": 2538.9919009235173, - "y": 1206.8619086167491 - }, - "selected": false, - "type": "genericNode", - "width": 384 - }, - { - "data": { - "id": "ToolCallingAgent-mf0BN", - "node": { - "base_classes": [ - "AgentExecutor", - "Message" - ], - "beta": false, - "conditional_paths": [], - "custom_fields": {}, - "description": "Agent that uses tools to perform the given task.", - "display_name": "Agent", - "documentation": "", - "edited": false, - "field_order": [ - "input_value", - "handle_parsing_errors", - "verbose", - "max_iterations", - "tools", - "llm", - "system_prompt", - "user_prompt", - "chat_history" - ], - "frozen": false, - "icon": "bot-message-square", - "lf_version": "1.0.16", - "metadata": {}, - "output_types": [], - "outputs": [ - { - "cache": true, - "display_name": "Response", - "method": "get_response", - "name": "response", - "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 loguru import logger\n\nfrom langflow.components.agents.agent_action_router import AgentActionRouter\nfrom langflow.components.agents.agent_context import AgentContextBuilder\nfrom langflow.components.agents.decide_action import DecideActionComponent\nfrom langflow.components.agents.execute_action import ExecuteActionComponent\nfrom langflow.components.agents.generate_thought import GenerateThoughtComponent\nfrom langflow.components.agents.write_final_answer import ProvideFinalAnswerComponent\nfrom langflow.components.inputs.chat import ChatInput\nfrom langflow.components.outputs import ChatOutput\nfrom langflow.components.prompts import PromptComponent\nfrom langflow.custom import Component\nfrom langflow.graph.graph.base import Graph\nfrom langflow.graph.state.model import create_state_model\nfrom langflow.io import BoolInput, HandleInput, IntInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass Agent(Component):\n display_name = \"Agent\"\n description = \"Customizable Agent component\"\n\n inputs = [\n HandleInput(name=\"llm\", display_name=\"Language Model\", input_types=[\"LanguageModel\"], required=True),\n HandleInput(name=\"tools\", display_name=\"Tools\", input_types=[\"Tool\"], is_list=True, required=True),\n IntInput(name=\"max_iterations\", display_name=\"Max Iterations\", value=5),\n BoolInput(name=\"verbose\", display_name=\"Verbose\", value=False),\n MultilineInput(name=\"system_prompt\", display_name=\"System Prompt\", value=\"You are a helpful assistant.\"),\n MultilineInput(name=\"user_prompt\", display_name=\"User Prompt\", value=\"{input}\"),\n MultilineInput(\n name=\"loop_prompt\",\n display_name=\"Loop Prompt\",\n value=\"Last Action Result: {last_action_result}\\nBased on the actions taken, here's the final answer:\",\n ),\n MessageTextInput(\n name=\"decide_action_prompt\",\n display_name=\"Decide Action Prompt\",\n value=\"Based on your thought, decide the best action to take next.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"final_answer_prompt\",\n display_name=\"Final Answer Prompt\",\n value=\"Considering all observations, provide the final answer to the user's query.\",\n advanced=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"get_response\")]\n\n async def get_response(self) -> Message:\n # Chat input initialization\n chat_input = ChatInput().set(input_value=self.user_prompt)\n\n # Agent Context Builder\n agent_context = AgentContextBuilder().set(\n initial_context=chat_input.message_response,\n tools=self.tools,\n llm=self.llm,\n max_iterations=self.max_iterations,\n )\n\n # Generate Thought\n generate_thought = GenerateThoughtComponent().set(\n agent_context=agent_context.build_context,\n )\n\n # Decide Action\n decide_action = DecideActionComponent().set(\n agent_context=generate_thought.generate_thought,\n prompt=self.decide_action_prompt,\n )\n\n # Agent Action Router\n action_router = AgentActionRouter().set(\n agent_context=decide_action.decide_action,\n max_iterations=self.max_iterations,\n )\n\n # Execute Action\n execute_action = ExecuteActionComponent().set(agent_context=action_router.route_to_execute_tool)\n # Loop Prompt\n loop_prompt = PromptComponent().set(\n template=self.loop_prompt,\n answer=execute_action.execute_action,\n )\n\n generate_thought.set(prompt=loop_prompt.build_prompt)\n\n # Final Answer\n final_answer = ProvideFinalAnswerComponent().set(\n agent_context=action_router.route_to_final_answer,\n prompt=self.final_answer_prompt,\n )\n\n # Chat output\n chat_output = ChatOutput().set(input_value=final_answer.get_final_answer)\n output_model = create_state_model(\"AgentOutput\", output=chat_output.message_response)\n\n # Build the graph\n graph = Graph(chat_input, chat_output)\n async for result in graph.async_start(max_iterations=self.max_iterations):\n if self.verbose:\n logger.info(result)\n\n return output_model.output\n" - }, - "decide_action_prompt": { - "_input_type": "MessageTextInput", - "advanced": true, - "display_name": "Decide Action Prompt", - "dynamic": false, - "info": "", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "name": "decide_action_prompt", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "Based on your thought, decide the best action to take next." - }, - "final_answer_prompt": { - "_input_type": "MessageTextInput", - "advanced": true, - "display_name": "Final Answer Prompt", - "dynamic": false, - "info": "", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "name": "final_answer_prompt", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "Considering all observations, provide the final answer to the user's query." - }, - "llm": { - "_input_type": "HandleInput", - "advanced": false, - "display_name": "Language Model", - "dynamic": false, - "info": "", - "input_types": [ - "LanguageModel" - ], - "list": false, - "name": "llm", - "placeholder": "", - "required": true, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "other", - "value": "" - }, - "loop_prompt": { - "_input_type": "MultilineInput", - "advanced": false, - "display_name": "Loop Prompt", - "dynamic": false, - "info": "", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "multiline": true, - "name": "loop_prompt", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "Last Action Result: {last_action_result}\nBased on the actions taken, here's the final answer:" - }, - "max_iterations": { - "_input_type": "IntInput", - "advanced": false, - "display_name": "Max Iterations", - "dynamic": false, - "info": "", - "list": false, - "name": "max_iterations", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "int", - "value": 15 - }, - "system_prompt": { - "_input_type": "MultilineInput", - "advanced": false, - "display_name": "System Prompt", - "dynamic": false, - "info": "", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "multiline": true, - "name": "system_prompt", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "You are an Amazing Agent that can use the tools provided to you and answer the question " - }, - "tools": { - "_input_type": "HandleInput", - "advanced": false, - "display_name": "Tools", - "dynamic": false, - "info": "", - "input_types": [ - "Tool" - ], - "list": true, - "load_from_db": false, - "name": "tools", - "placeholder": "", - "required": true, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "other", - "value": "" - }, - "user_prompt": { - "_input_type": "MultilineInput", - "advanced": false, - "display_name": "User Prompt", - "dynamic": false, - "info": "", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "multiline": true, - "name": "user_prompt", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "{input}" - }, - "verbose": { - "_input_type": "BoolInput", - "advanced": false, - "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": true - } - } - }, - "type": "ToolCallingAgent" - }, - "dragging": false, - "height": 598, - "id": "ToolCallingAgent-mf0BN", - "position": { - "x": 3276.3854573966964, - "y": 516.3304705434241 - }, - "positionAbsolute": { - "x": 3276.3854573966964, - "y": 516.3304705434241 - }, - "selected": false, - "type": "genericNode", - "width": 384 - }, - { - "data": { - "id": "CalculatorTool-Nb4P5", - "node": { - "base_classes": [ - "Data", - "list", - "Sequence", - "Tool" - ], - "beta": false, - "conditional_paths": [], - "custom_fields": {}, - "description": "Perform basic arithmetic operations on a given expression.", - "display_name": "Calculator", - "documentation": "", - "edited": false, - "field_order": [ - "expression" - ], - "frozen": false, - "icon": "calculator", - "lf_version": "1.0.16", - "metadata": {}, - "official": false, - "output_types": [], - "outputs": [ - { - "cache": true, - "display_name": "Data", - "method": "run_model", - "name": "api_run_model", - "required_inputs": [ - "expression" - ], - "selected": "Data", - "types": [ - "Data" - ], - "value": "__UNDEFINED__" - }, - { - "cache": true, - "display_name": "Tool", - "method": "build_tool", - "name": "api_build_tool", - "required_inputs": [ - "expression" - ], - "selected": "Tool", - "types": [ - "Tool" - ], - "value": "__UNDEFINED__" - } - ], - "pinned": false, - "template": { - "_type": "Component", - "code": { - "advanced": true, - "dynamic": true, - "fileTypes": [], - "file_path": "", - "info": "", - "list": false, - "load_from_db": false, - "multiline": true, - "name": "code", - "password": false, - "placeholder": "", - "required": true, - "show": true, - "title_case": false, - "type": "code", - "value": "import ast\nimport operator\n\nfrom langchain.tools import StructuredTool\nfrom loguru import logger\nfrom pydantic import BaseModel, Field\n\nfrom langflow.base.langchain_utilities.model import LCToolComponent\nfrom langflow.field_typing import Tool\nfrom langflow.inputs import MessageTextInput\nfrom langflow.schema import Data\n\n\nclass CalculatorToolComponent(LCToolComponent):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n icon = \"calculator\"\n name = \"CalculatorTool\"\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n ),\n ]\n\n class CalculatorToolSchema(BaseModel):\n expression: str = Field(..., description=\"The arithmetic expression to evaluate.\")\n\n def run_model(self) -> list[Data]:\n return self._evaluate_expression(self.expression)\n\n def build_tool(self) -> Tool:\n return StructuredTool.from_function(\n name=\"calculator\",\n description=\"Evaluate basic arithmetic expressions. Input should be a string containing the expression.\",\n func=self._evaluate_expression,\n args_schema=self.CalculatorToolSchema,\n )\n\n def _eval_expr(self, node):\n # Define the allowed operators\n operators = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n if isinstance(node, ast.Num):\n return node.n\n if isinstance(node, ast.BinOp):\n return operators[type(node.op)](self._eval_expr(node.left), self._eval_expr(node.right))\n if isinstance(node, ast.UnaryOp):\n return operators[type(node.op)](self._eval_expr(node.operand))\n raise TypeError(node)\n\n def _evaluate_expression(self, expression: str) -> list[Data]:\n try:\n # Parse the expression and evaluate it\n tree = ast.parse(expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n # Format the result to a reasonable number of decimal places\n formatted_result = f\"{result:.6f}\".rstrip(\"0\").rstrip(\".\")\n\n self.status = formatted_result\n return [Data(data={\"result\": formatted_result})]\n\n except (SyntaxError, TypeError, KeyError) as e:\n error_message = f\"Invalid expression: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message})]\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return [Data(data={\"error\": error_message})]\n except Exception as e: # noqa: BLE001\n logger.opt(exception=True).debug(\"Error evaluating expression\")\n error_message = f\"Error: {e}\"\n self.status = error_message\n return [Data(data={\"error\": error_message})]\n" - }, - "expression": { - "_input_type": "MessageTextInput", - "advanced": false, - "display_name": "Expression", - "dynamic": false, - "info": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').", - "input_types": [ - "Message" - ], - "list": false, - "load_from_db": false, - "name": "expression", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_input": true, - "trace_as_metadata": true, - "type": "str", - "value": "2+2" - } - } - }, - "type": "CalculatorTool" - }, - "dragging": false, - "height": 375, - "id": "CalculatorTool-Nb4P5", - "position": { - "x": 2330.062076024461, - "y": 429.6717346334192 - }, - "positionAbsolute": { - "x": 2330.062076024461, - "y": 429.6717346334192 - }, - "selected": false, - "type": "genericNode", - "width": 384 - }, - { - "data": { - "description": "A tool for running Python code in a REPL environment.", - "display_name": "Python REPL Tool", - "id": "PythonREPLTool-i922a", - "node": { - "base_classes": [ - "Data", - "Tool" - ], - "beta": false, - "conditional_paths": [], - "custom_fields": {}, - "description": "A tool for running Python code in a REPL environment.", - "display_name": "Python REPL Tool", - "documentation": "", - "edited": false, - "field_order": [ - "name", - "description", - "global_imports", - "code" - ], - "frozen": false, - "metadata": {}, - "output_types": [], - "outputs": [ - { - "cache": true, - "display_name": "Data", - "method": "run_model", - "name": "api_run_model", - "required_inputs": [ - "code", - "description", - "global_imports", - "name" - ], - "selected": "Data", - "types": [ - "Data" - ], - "value": "__UNDEFINED__" - }, - { - "cache": true, - "display_name": "Tool", - "method": "build_tool", - "name": "api_build_tool", - "required_inputs": [ - "code", - "description", - "global_imports", - "name" - ], - "selected": "Tool", - "types": [ - "Tool" - ], - "value": "__UNDEFINED__" - } - ], - "pinned": false, - "template": { - "_type": "Component", - "code": { - "advanced": true, - "dynamic": true, - "fileTypes": [], - "file_path": "", - "info": "", - "list": false, - "load_from_db": false, - "multiline": true, - "name": "code", - "password": false, - "placeholder": "", - "required": true, - "show": true, - "title_case": false, - "type": "code", - "value": "import importlib\n\nfrom langchain.tools import StructuredTool\nfrom langchain_experimental.utilities import PythonREPL\nfrom loguru import logger\nfrom pydantic import BaseModel, Field\n\nfrom langflow.base.langchain_utilities.model import LCToolComponent\nfrom langflow.field_typing import Tool\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\n\n\nclass PythonREPLToolComponent(LCToolComponent):\n display_name = \"Python REPL Tool\"\n description = \"A tool for running Python code in a REPL environment.\"\n name = \"PythonREPLTool\"\n\n inputs = [\n StrInput(\n name=\"name\",\n display_name=\"Tool Name\",\n info=\"The name of the tool.\",\n value=\"python_repl\",\n ),\n StrInput(\n name=\"description\",\n display_name=\"Tool Description\",\n info=\"A description of the tool.\",\n value=\"A Python shell. Use this to execute python commands. \"\n \"Input should be a valid python command. \"\n \"If you want to see the output of a value, you should print it out with `print(...)`.\",\n ),\n StrInput(\n name=\"global_imports\",\n display_name=\"Global Imports\",\n info=\"A comma-separated list of modules to import globally, e.g. 'math,numpy'.\",\n value=\"math\",\n ),\n StrInput(\n name=\"code\",\n display_name=\"Python Code\",\n info=\"The Python code to execute.\",\n value=\"print('Hello, World!')\",\n ),\n ]\n\n class PythonREPLSchema(BaseModel):\n code: str = Field(..., description=\"The Python code to execute.\")\n\n def get_globals(self, global_imports: str | list[str]) -> dict:\n global_dict = {}\n if isinstance(global_imports, str):\n modules = [module.strip() for module in global_imports.split(\",\")]\n elif isinstance(global_imports, list):\n modules = global_imports\n else:\n msg = \"global_imports must be either a string or a list\"\n raise TypeError(msg)\n\n for module in modules:\n try:\n imported_module = importlib.import_module(module)\n global_dict[imported_module.__name__] = imported_module\n except ImportError as e:\n msg = f\"Could not import module {module}\"\n raise ImportError(msg) from e\n return global_dict\n\n def build_tool(self) -> Tool:\n _globals = self.get_globals(self.global_imports)\n python_repl = PythonREPL(_globals=_globals)\n\n def run_python_code(code: str) -> str:\n try:\n return python_repl.run(code)\n except Exception as e: # noqa: BLE001\n logger.opt(exception=True).debug(\"Error running Python code\")\n return f\"Error: {e}\"\n\n tool = StructuredTool.from_function(\n name=self.name,\n description=self.description,\n func=run_python_code,\n args_schema=self.PythonREPLSchema,\n )\n\n self.status = f\"Python REPL Tool created with global imports: {self.global_imports}\"\n return tool\n\n def run_model(self) -> list[Data]:\n tool = self.build_tool()\n result = tool.run(self.code)\n return [Data(data={\"result\": result})]\n" - }, - "description": { - "_input_type": "StrInput", - "advanced": false, - "display_name": "Tool Description", - "dynamic": false, - "info": "A description of the tool.", - "list": false, - "load_from_db": false, - "name": "description", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "str", - "value": "A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`." - }, - "global_imports": { - "_input_type": "StrInput", - "advanced": false, - "display_name": "Global Imports", - "dynamic": false, - "info": "A comma-separated list of modules to import globally, e.g. 'math,numpy'.", - "list": false, - "load_from_db": false, - "name": "global_imports", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "str", - "value": "math" - }, - "name": { - "_input_type": "StrInput", - "advanced": false, - "display_name": "Tool Name", - "dynamic": false, - "info": "The name of the tool.", - "list": false, - "load_from_db": false, - "name": "name", - "placeholder": "", - "required": false, - "show": true, - "title_case": false, - "trace_as_metadata": true, - "type": "str", - "value": "python_repl" - } - } - }, - "type": "PythonREPLTool" - }, - "dragging": false, - "height": 547, - "id": "PythonREPLTool-i922a", - "position": { - "x": 1763.1630547496572, - "y": 791.8164465037205 - }, - "positionAbsolute": { - "x": 1763.1630547496572, - "y": 791.8164465037205 - }, - "selected": true, - "type": "genericNode", - "width": 384 - } - ], - "viewport": { - "x": -796.2952218140445, - "y": 174.7919632061971, - "zoom": 0.6144692758797546 - } - }, - "description": "Single Agent Flow to get you started. This flow contains a calculator and a Python REPL tool, that could be used by our tool calling agent.", - "endpoint_name": null, - "icon": "Users", - "id": "beda74a3-7e03-4c14-a148-a7740e810dbf", - "is_component": false, - "last_tested_version": "1.0.17", - "name": "Simple Agent", - "tags": [ - "agents", - "openai", - "chatbots" - ] -} \ No newline at end of file