src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json

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    ],
    "nodes": [
      {
        "data": {
          "description": "Define the agent's instructions, then enter a task to complete using tools.",
          "display_name": "Agent",
          "id": "Agent-yGhD2",
          "node": {
            "base_classes": [
              "Message"
            ],
            "beta": false,
            "conditional_paths": [],
            "custom_fields": {},
            "description": "Define the agent's instructions, then enter a task to complete using tools.",
            "display_name": "Agent",
            "documentation": "",
            "edited": false,
            "field_order": [
              "agent_llm",
              "max_tokens",
              "model_kwargs",
              "json_mode",
              "output_schema",
              "model_name",
              "openai_api_base",
              "api_key",
              "temperature",
              "seed",
              "output_parser",
              "system_prompt",
              "tools",
              "input_value",
              "handle_parsing_errors",
              "verbose",
              "max_iterations",
              "agent_description",
              "memory",
              "sender",
              "sender_name",
              "n_messages",
              "session_id",
              "order",
              "template",
              "add_current_date_tool"
            ],
            "frozen": false,
            "icon": "bot",
            "legacy": false,
            "lf_version": "1.1.0.dev4",
            "metadata": {},
            "output_types": [],
            "outputs": [
              {
                "cache": true,
                "display_name": "Response",
                "method": "message_response",
                "name": "response",
                "selected": "Message",
                "types": [
                  "Message"
                ],
                "value": "__UNDEFINED__"
              }
            ],
            "pinned": false,
            "template": {
              "_type": "Component",
              "add_current_date_tool": {
                "_input_type": "BoolInput",
                "advanced": true,
                "display_name": "Current Date",
                "dynamic": false,
                "info": "If true, will add a tool to the agent that returns the current date.",
                "list": false,
                "name": "add_current_date_tool",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "bool",
                "value": true
              },
              "agent_description": {
                "_input_type": "MultilineInput",
                "advanced": true,
                "display_name": "Agent Description",
                "dynamic": false,
                "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically.",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "multiline": true,
                "name": "agent_description",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": "A helpful assistant with access to the following tools:"
              },
              "agent_llm": {
                "_input_type": "DropdownInput",
                "advanced": false,
                "combobox": false,
                "display_name": "Model Provider",
                "dynamic": false,
                "info": "The provider of the language model that the agent will use to generate responses.",
                "input_types": [],
                "name": "agent_llm",
                "options": [
                  "Amazon Bedrock",
                  "Anthropic",
                  "Azure OpenAI",
                  "Groq",
                  "NVIDIA",
                  "OpenAI",
                  "Custom"
                ],
                "placeholder": "",
                "real_time_refresh": true,
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_metadata": true,
                "type": "str",
                "value": "OpenAI"
              },
              "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": false,
                "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": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n    ALL_PROVIDER_FIELDS,\n    MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import (\n    ToolCallingAgentComponent,\n)\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n    component_input.advanced = True\n    return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n    display_name: str = \"Agent\"\n    description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n    icon = \"bot\"\n    beta = False\n    name = \"Agent\"\n\n    memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n    inputs = [\n        DropdownInput(\n            name=\"agent_llm\",\n            display_name=\"Model Provider\",\n            info=\"The provider of the language model that the agent will use to generate responses.\",\n            options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n            value=\"OpenAI\",\n            real_time_refresh=True,\n            input_types=[],\n        ),\n        *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n        MultilineInput(\n            name=\"system_prompt\",\n            display_name=\"Agent Instructions\",\n            info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n            value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n            advanced=False,\n        ),\n        *LCToolsAgentComponent._base_inputs,\n        *memory_inputs,\n        BoolInput(\n            name=\"add_current_date_tool\",\n            display_name=\"Current Date\",\n            advanced=True,\n            info=\"If true, will add a tool to the agent that returns the current date.\",\n            value=True,\n        ),\n    ]\n    outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n    async def message_response(self) -> Message:\n        llm_model, display_name = self.get_llm()\n        self.model_name = get_model_name(llm_model, display_name=display_name)\n        if llm_model is None:\n            msg = \"No language model selected\"\n            raise ValueError(msg)\n        self.chat_history = await self.get_memory_data()\n\n        if self.add_current_date_tool:\n            if not isinstance(self.tools, list):  # type: ignore[has-type]\n                self.tools = []\n            # Convert CurrentDateComponent to a StructuredTool\n            current_date_tool = CurrentDateComponent().to_toolkit()[0]\n            if isinstance(current_date_tool, StructuredTool):\n                self.tools.append(current_date_tool)\n            else:\n                msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n                raise ValueError(msg)\n\n        if not self.tools:\n            msg = \"Tools are required to run the agent.\"\n            raise ValueError(msg)\n        self.set(\n            llm=llm_model,\n            tools=self.tools,\n            chat_history=self.chat_history,\n            input_value=self.input_value,\n            system_prompt=self.system_prompt,\n        )\n        agent = self.create_agent_runnable()\n        return await self.run_agent(agent)\n\n    async def get_memory_data(self):\n        memory_kwargs = {\n            component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n        }\n\n        return await MemoryComponent().set(**memory_kwargs).retrieve_messages()\n\n    def get_llm(self):\n        if isinstance(self.agent_llm, str):\n            try:\n                provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n                if provider_info:\n                    component_class = provider_info.get(\"component_class\")\n                    display_name = component_class.display_name\n                    inputs = provider_info.get(\"inputs\")\n                    prefix = provider_info.get(\"prefix\", \"\")\n                    return (\n                        self._build_llm_model(component_class, inputs, prefix),\n                        display_name,\n                    )\n            except Exception as e:\n                msg = f\"Error building {self.agent_llm} language model\"\n                raise ValueError(msg) from e\n        return self.agent_llm, None\n\n    def _build_llm_model(self, component, inputs, prefix=\"\"):\n        model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n        return component.set(**model_kwargs).build_model()\n\n    def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n        \"\"\"Delete specified fields from build_config.\"\"\"\n        for field in fields:\n            build_config.pop(field, None)\n\n    def update_input_types(self, build_config: dotdict) -> dotdict:\n        \"\"\"Update input types for all fields in build_config.\"\"\"\n        for key, value in build_config.items():\n            if isinstance(value, dict):\n                if value.get(\"input_types\") is None:\n                    build_config[key][\"input_types\"] = []\n            elif hasattr(value, \"input_types\") and value.input_types is None:\n                value.input_types = []\n        return build_config\n\n    def update_build_config(self, build_config: dotdict, field_value: str, field_name: str | None = None) -> dotdict:\n        # Iterate over all providers in the MODEL_PROVIDERS_DICT\n        # Existing logic for updating build_config\n        if field_name == \"agent_llm\":\n            provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n            if provider_info:\n                component_class = provider_info.get(\"component_class\")\n                if component_class and hasattr(component_class, \"update_build_config\"):\n                    # Call the component class's update_build_config method\n                    build_config = component_class.update_build_config(build_config, field_value, field_name)\n\n            provider_configs: dict[str, tuple[dict, list[dict]]] = {\n                provider: (\n                    MODEL_PROVIDERS_DICT[provider][\"fields\"],\n                    [\n                        MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n                        for other_provider in MODEL_PROVIDERS_DICT\n                        if other_provider != provider\n                    ],\n                )\n                for provider in MODEL_PROVIDERS_DICT\n            }\n            if field_value in provider_configs:\n                fields_to_add, fields_to_delete = provider_configs[field_value]\n\n                # Delete fields from other providers\n                for fields in fields_to_delete:\n                    self.delete_fields(build_config, fields)\n\n                # Add provider-specific fields\n                if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n                    build_config.update(fields_to_add)\n                else:\n                    build_config.update(fields_to_add)\n                # Reset input types for agent_llm\n                build_config[\"agent_llm\"][\"input_types\"] = []\n            elif field_value == \"Custom\":\n                # Delete all provider fields\n                self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n                # Update with custom component\n                custom_component = DropdownInput(\n                    name=\"agent_llm\",\n                    display_name=\"Language Model\",\n                    options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n                    value=\"Custom\",\n                    real_time_refresh=True,\n                    input_types=[\"LanguageModel\"],\n                )\n                build_config.update({\"agent_llm\": custom_component.to_dict()})\n            # Update input types for all fields\n            build_config = self.update_input_types(build_config)\n\n            # Validate required keys\n            default_keys = [\n                \"code\",\n                \"_type\",\n                \"agent_llm\",\n                \"tools\",\n                \"input_value\",\n                \"add_current_date_tool\",\n                \"system_prompt\",\n                \"agent_description\",\n                \"max_iterations\",\n                \"handle_parsing_errors\",\n                \"verbose\",\n            ]\n            missing_keys = [key for key in default_keys if key not in build_config]\n            if missing_keys:\n                msg = f\"Missing required keys in build_config: {missing_keys}\"\n                raise ValueError(msg)\n        if isinstance(self.agent_llm, str) and self.agent_llm in MODEL_PROVIDERS_DICT:\n            provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n            if provider_info:\n                component_class = provider_info.get(\"component_class\")\n                prefix = provider_info.get(\"prefix\")\n                if component_class and hasattr(component_class, \"update_build_config\"):\n                    # Call each component class's update_build_config method\n                    # remove the prefix from the field_name\n                    if isinstance(field_name, str) and isinstance(prefix, str):\n                        field_name = field_name.replace(prefix, \"\")\n                    build_config = component_class.update_build_config(build_config, field_value, field_name)\n\n        return build_config\n"
              },
              "handle_parsing_errors": {
                "_input_type": "BoolInput",
                "advanced": true,
                "display_name": "Handle Parse Errors",
                "dynamic": false,
                "info": "Should the Agent fix errors when reading user input for better processing?",
                "list": false,
                "name": "handle_parsing_errors",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "bool",
                "value": true
              },
              "input_value": {
                "_input_type": "MessageTextInput",
                "advanced": false,
                "display_name": "Input",
                "dynamic": false,
                "info": "The input provided by the user for the agent to process.",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "name": "input_value",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": true,
                "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_iterations": {
                "_input_type": "IntInput",
                "advanced": true,
                "display_name": "Max Iterations",
                "dynamic": false,
                "info": "The maximum number of attempts the agent can make to complete its task before it stops.",
                "list": false,
                "name": "max_iterations",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "int",
                "value": 15
              },
              "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": ""
              },
              "memory": {
                "_input_type": "HandleInput",
                "advanced": true,
                "display_name": "External Memory",
                "dynamic": false,
                "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.",
                "input_types": [
                  "BaseChatMessageHistory"
                ],
                "list": false,
                "name": "memory",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "other",
                "value": ""
              },
              "model_kwargs": {
                "_input_type": "DictInput",
                "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": {
                "_input_type": "DropdownInput",
                "advanced": false,
                "combobox": false,
                "display_name": "Model Name",
                "dynamic": false,
                "info": "",
                "name": "model_name",
                "options": [
                  "gpt-4o-mini",
                  "gpt-4o",
                  "gpt-4-turbo",
                  "gpt-4-turbo-preview",
                  "gpt-4",
                  "gpt-3.5-turbo",
                  "gpt-3.5-turbo-0125"
                ],
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_metadata": true,
                "type": "str",
                "value": "gpt-4o-mini"
              },
              "n_messages": {
                "_input_type": "IntInput",
                "advanced": true,
                "display_name": "Number of Messages",
                "dynamic": false,
                "info": "Number of messages to retrieve.",
                "list": false,
                "name": "n_messages",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "int",
                "value": 100
              },
              "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": ""
              },
              "order": {
                "_input_type": "DropdownInput",
                "advanced": true,
                "combobox": false,
                "display_name": "Order",
                "dynamic": false,
                "info": "Order of the messages.",
                "name": "order",
                "options": [
                  "Ascending",
                  "Descending"
                ],
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_metadata": true,
                "type": "str",
                "value": "Ascending"
              },
              "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
              },
              "sender": {
                "_input_type": "DropdownInput",
                "advanced": true,
                "combobox": false,
                "display_name": "Sender Type",
                "dynamic": false,
                "info": "Filter by sender type.",
                "name": "sender",
                "options": [
                  "Machine",
                  "User",
                  "Machine and User"
                ],
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_metadata": true,
                "type": "str",
                "value": "Machine and User"
              },
              "sender_name": {
                "_input_type": "MessageTextInput",
                "advanced": true,
                "display_name": "Sender Name",
                "dynamic": false,
                "info": "Filter by sender name.",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "name": "sender_name",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              },
              "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,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              },
              "system_prompt": {
                "_input_type": "MultilineInput",
                "advanced": false,
                "display_name": "Agent Instructions",
                "dynamic": false,
                "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "multiline": true,
                "name": "system_prompt",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": "You are a helpful assistant that can use tools to answer questions and perform tasks.\nUse markdown to format your answer, properly embedding images and urls."
              },
              "temperature": {
                "_input_type": "FloatInput",
                "advanced": true,
                "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
              },
              "template": {
                "_input_type": "MultilineInput",
                "advanced": true,
                "display_name": "Template",
                "dynamic": false,
                "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "multiline": true,
                "name": "template",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": "{sender_name}: {text}"
              },
              "tools": {
                "_input_type": "HandleInput",
                "advanced": false,
                "display_name": "Tools",
                "dynamic": false,
                "info": "These are the tools that the agent can use to help with tasks.",
                "input_types": [
                  "Tool",
                  "BaseTool",
                  "StructuredTool"
                ],
                "list": true,
                "name": "tools",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "other",
                "value": ""
              },
              "verbose": {
                "_input_type": "BoolInput",
                "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": true
              }
            },
            "tool_mode": false
          },
          "type": "Agent"
        },
        "dragging": false,
        "height": 648,
        "id": "Agent-yGhD2",
        "position": {
          "x": 2306.5155821255557,
          "y": 332.5289520982579
        },
        "positionAbsolute": {
          "x": 2306.5155821255557,
          "y": 332.5289520982579
        },
        "selected": false,
        "type": "genericNode",
        "width": 320
      },
      {
        "data": {
          "id": "ChatInput-sTYr3",
          "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",
              "background_color",
              "chat_icon",
              "text_color"
            ],
            "frozen": false,
            "icon": "MessagesSquare",
            "legacy": false,
            "lf_version": "1.1.0.dev4",
            "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,
                "tool_mode": 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,
                "tool_mode": 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    async def message_response(self) -> Message:\n        background_color = self.background_color\n        text_color = self.text_color\n        icon = self.chat_icon\n\n        message = await Message.create(\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 = await self.send_message(\n                message,\n            )\n            self.message.value = stored_message\n            message = stored_message\n\n        self.status = message\n        return message\n"
              },
              "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,
                "tool_mode": 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,
                "tool_mode": 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,
                "tool_mode": 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,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              },
              "should_store_message": {
                "_input_type": "BoolInput",
                "advanced": true,
                "display_name": "Store Messages",
                "dynamic": false,
                "info": "Store the message in the history.",
                "list": false,
                "name": "should_store_message",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "bool",
                "value": true
              },
              "text_color": {
                "_input_type": "MessageTextInput",
                "advanced": true,
                "display_name": "Text Color",
                "dynamic": false,
                "info": "The text color of the name",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "name": "text_color",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              }
            },
            "tool_mode": false
          },
          "type": "ChatInput"
        },
        "dragging": false,
        "height": 234,
        "id": "ChatInput-sTYr3",
        "position": {
          "x": 1939.9269765193949,
          "y": 965.3667152408464
        },
        "positionAbsolute": {
          "x": 1939.9269765193949,
          "y": 965.3667152408464
        },
        "selected": false,
        "type": "genericNode",
        "width": 320
      },
      {
        "data": {
          "description": "Display a chat message in the Playground.",
          "display_name": "Chat Output",
          "id": "ChatOutput-Tkzec",
          "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",
              "background_color",
              "chat_icon",
              "text_color"
            ],
            "frozen": false,
            "icon": "MessagesSquare",
            "legacy": false,
            "lf_version": "1.1.0.dev4",
            "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,
                "tool_mode": 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,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              },
              "code": {
                "advanced": true,
                "dynamic": true,
                "fileTypes": [],
                "file_path": "",
                "info": "",
                "list": false,
                "load_from_db": false,
                "multiline": true,
                "name": "code",
                "password": false,
                "placeholder": "",
                "required": true,
                "show": true,
                "title_case": false,
                "type": "code",
                "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n    display_name = \"Chat Output\"\n    description = \"Display a chat message in the Playground.\"\n    icon = \"MessagesSquare\"\n    name = \"ChatOutput\"\n\n    inputs = [\n        MessageInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            info=\"Message to be passed as output.\",\n        ),\n        BoolInput(\n            name=\"should_store_message\",\n            display_name=\"Store Messages\",\n            info=\"Store the message in the history.\",\n            value=True,\n            advanced=True,\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n            value=MESSAGE_SENDER_AI,\n            advanced=True,\n            info=\"Type of sender.\",\n        ),\n        MessageTextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=MESSAGE_SENDER_NAME_AI,\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"session_id\",\n            display_name=\"Session ID\",\n            info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"data_template\",\n            display_name=\"Data Template\",\n            value=\"{text}\",\n            advanced=True,\n            info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n        ),\n        MessageTextInput(\n            name=\"background_color\",\n            display_name=\"Background Color\",\n            info=\"The background color of the icon.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"chat_icon\",\n            display_name=\"Icon\",\n            info=\"The icon of the message.\",\n            advanced=True,\n        ),\n        MessageTextInput(\n            name=\"text_color\",\n            display_name=\"Text Color\",\n            info=\"The text color of the name\",\n            advanced=True,\n        ),\n    ]\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"message\",\n            method=\"message_response\",\n        ),\n    ]\n\n    def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n        source_dict = {}\n        if id_:\n            source_dict[\"id\"] = id_\n        if display_name:\n            source_dict[\"display_name\"] = display_name\n        if source:\n            source_dict[\"source\"] = source\n        return Source(**source_dict)\n\n    async def message_response(self) -> Message:\n        source, icon, display_name, source_id = self.get_properties_from_source_component()\n        background_color = self.background_color\n        text_color = self.text_color\n        if self.chat_icon:\n            icon = self.chat_icon\n        message = self.input_value if isinstance(self.input_value, Message) else Message(text=self.input_value)\n        message.sender = self.sender\n        message.sender_name = self.sender_name\n        message.session_id = self.session_id\n        message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n        message.properties.source = self._build_source(source_id, display_name, source)\n        message.properties.icon = icon\n        message.properties.background_color = background_color\n        message.properties.text_color = text_color\n        if self.session_id and isinstance(message, Message) and self.should_store_message:\n            stored_message = await self.send_message(\n                message,\n            )\n            self.message.value = stored_message\n            message = stored_message\n\n        self.status = message\n        return message\n"
              },
              "data_template": {
                "_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,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": "{text}"
              },
              "input_value": {
                "_input_type": "MessageInput",
                "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,
                "tool_mode": 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,
                "tool_mode": 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,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              },
              "should_store_message": {
                "_input_type": "BoolInput",
                "advanced": true,
                "display_name": "Store Messages",
                "dynamic": false,
                "info": "Store the message in the history.",
                "list": false,
                "name": "should_store_message",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "trace_as_metadata": true,
                "type": "bool",
                "value": true
              },
              "text_color": {
                "_input_type": "MessageTextInput",
                "advanced": true,
                "display_name": "Text Color",
                "dynamic": false,
                "info": "The text color of the name",
                "input_types": [
                  "Message"
                ],
                "list": false,
                "load_from_db": false,
                "name": "text_color",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              }
            },
            "tool_mode": false
          },
          "type": "ChatOutput"
        },
        "dragging": false,
        "height": 234,
        "id": "ChatOutput-Tkzec",
        "position": {
          "x": 2683.9938458383212,
          "y": 556.5828467235146
        },
        "positionAbsolute": {
          "x": 2683.9938458383212,
          "y": 556.5828467235146
        },
        "selected": false,
        "type": "genericNode",
        "width": 320
      },
      {
        "data": {
          "id": "URL-FOPyh",
          "node": {
            "base_classes": [
              "Data",
              "Message"
            ],
            "beta": false,
            "conditional_paths": [],
            "custom_fields": {},
            "description": "Fetch content from one or more URLs.",
            "display_name": "URL",
            "documentation": "",
            "edited": false,
            "field_order": [
              "urls",
              "format"
            ],
            "frozen": false,
            "icon": "layout-template",
            "legacy": false,
            "lf_version": "1.1.0.dev4",
            "metadata": {},
            "output_types": [],
            "outputs": [
              {
                "cache": true,
                "display_name": "Toolset",
                "hidden": null,
                "method": "to_toolkit",
                "name": "component_as_tool",
                "required_inputs": null,
                "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 re\n\nfrom langchain_community.document_loaders import AsyncHtmlLoader, WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass URLComponent(Component):\n    display_name = \"URL\"\n    description = \"Fetch content from one or more URLs.\"\n    icon = \"layout-template\"\n    name = \"URL\"\n\n    inputs = [\n        MessageTextInput(\n            name=\"urls\",\n            display_name=\"URLs\",\n            info=\"Enter one or more URLs, by clicking the '+' button.\",\n            is_list=True,\n            tool_mode=True,\n        ),\n        DropdownInput(\n            name=\"format\",\n            display_name=\"Output Format\",\n            info=\"Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.\",\n            options=[\"Text\", \"Raw HTML\"],\n            value=\"Text\",\n        ),\n    ]\n\n    outputs = [\n        Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n        Output(display_name=\"Text\", name=\"text\", method=\"fetch_content_text\"),\n    ]\n\n    def ensure_url(self, string: str) -> str:\n        \"\"\"Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n\n        Raises an error if the string is not a valid URL.\n\n        Parameters:\n            string (str): The string to be checked and possibly modified.\n\n        Returns:\n            str: The modified string that is ensured to be a URL.\n\n        Raises:\n            ValueError: If the string is not a valid URL.\n        \"\"\"\n        if not string.startswith((\"http://\", \"https://\")):\n            string = \"http://\" + string\n\n        # Basic URL validation regex\n        url_regex = re.compile(\n            r\"^(https?:\\/\\/)?\"  # optional protocol\n            r\"(www\\.)?\"  # optional www\n            r\"([a-zA-Z0-9.-]+)\"  # domain\n            r\"(\\.[a-zA-Z]{2,})?\"  # top-level domain\n            r\"(:\\d+)?\"  # optional port\n            r\"(\\/[^\\s]*)?$\",  # optional path\n            re.IGNORECASE,\n        )\n\n        if not url_regex.match(string):\n            msg = f\"Invalid URL: {string}\"\n            raise ValueError(msg)\n\n        return string\n\n    def fetch_content(self) -> list[Data]:\n        urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n        if self.format == \"Raw HTML\":\n            loader = AsyncHtmlLoader(web_path=urls, encoding=\"utf-8\")\n        else:\n            loader = WebBaseLoader(web_paths=urls, encoding=\"utf-8\")\n        docs = loader.load()\n        data = [Data(text=doc.page_content, **doc.metadata) for doc in docs]\n        self.status = data\n        return data\n\n    def fetch_content_text(self) -> Message:\n        data = self.fetch_content()\n\n        result_string = data_to_text(\"{text}\", data)\n        self.status = result_string\n        return Message(text=result_string)\n"
              },
              "format": {
                "_input_type": "DropdownInput",
                "advanced": false,
                "combobox": false,
                "display_name": "Output Format",
                "dynamic": false,
                "info": "Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.",
                "name": "format",
                "options": [
                  "Text",
                  "Raw HTML"
                ],
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": false,
                "trace_as_metadata": true,
                "type": "str",
                "value": "Text"
              },
              "urls": {
                "_input_type": "MessageTextInput",
                "advanced": false,
                "display_name": "URLs",
                "dynamic": false,
                "info": "Enter one or more URLs, by clicking the '+' button.",
                "input_types": [
                  "Message"
                ],
                "list": true,
                "load_from_db": false,
                "name": "urls",
                "placeholder": "",
                "required": false,
                "show": true,
                "title_case": false,
                "tool_mode": true,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              }
            },
            "tool_mode": false
          },
          "type": "URL"
        },
        "dragging": false,
        "height": 320,
        "id": "URL-FOPyh",
        "position": {
          "x": 1942.4405475324484,
          "y": 274.6204436838327
        },
        "positionAbsolute": {
          "x": 1942.4405475324484,
          "y": 274.6204436838327
        },
        "selected": false,
        "type": "genericNode",
        "width": 320
      },
      {
        "data": {
          "id": "CalculatorTool-IfWT1",
          "node": {
            "base_classes": [
              "Data",
              "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",
            "legacy": false,
            "lf_version": "1.1.0.dev4",
            "metadata": {},
            "output_types": [],
            "outputs": [
              {
                "cache": true,
                "display_name": "Data",
                "method": "run_model",
                "name": "api_run_model",
                "required_inputs": [],
                "selected": "Data",
                "types": [
                  "Data"
                ],
                "value": "__UNDEFINED__"
              },
              {
                "cache": true,
                "display_name": "Tool",
                "method": "build_tool",
                "name": "api_build_tool",
                "required_inputs": [],
                "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 langchain_core.tools import ToolException\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._eval_expr_with_error,\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        if isinstance(node, ast.Call):\n            msg = (\n                \"Function calls like sqrt(), sin(), cos() etc. are not supported. \"\n                \"Only basic arithmetic operations (+, -, *, /, **) are allowed.\"\n            )\n            raise TypeError(msg)\n        msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n        raise TypeError(msg)\n\n    def _eval_expr_with_error(self, expression: str) -> list[Data]:\n        try:\n            return self._evaluate_expression(expression)\n        except Exception as e:\n            raise ToolException(str(e)) from e\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, \"input\": expression})]\n        except ZeroDivisionError:\n            error_message = \"Error: Division by zero\"\n            self.status = error_message\n            return [Data(data={\"error\": error_message, \"input\": expression})]\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, \"input\": expression})]\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,
                "tool_mode": true,
                "trace_as_input": true,
                "trace_as_metadata": true,
                "type": "str",
                "value": ""
              }
            },
            "tool_mode": false
          },
          "type": "CalculatorTool"
        },
        "dragging": false,
        "height": 302,
        "id": "CalculatorTool-IfWT1",
        "position": {
          "x": 1938.2271796804105,
          "y": 629.2915039696703
        },
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      },
      {
        "data": {
          "id": "note-QuJAF",
          "node": {
            "description": "# 📖 README\nRun an Agent with URL and Calculator tools available for its use. \nThe Agent decides which tool to use to solve a problem.\n## Quick start\n\n1. Add your OpenAI API key to the Agent.\n2. Open the Playground and chat with the Agent. Request some information about a recipe, and then ask to add two numbers together. In the responses, the Agent will use different tools to solve different problems.\n\n## Next steps\nConnect more tools to the Agent to create your perfect assistant.\n\nFor more, see the [Langflow docs](https://docs.langflow.org/agents-tool-calling-agent-component).",
            "display_name": "",
            "documentation": "",
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            }
          },
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        "id": "note-QuJAF",
        "position": {
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        },
        "type": "noteNode",
        "width": 600
      },
      {
        "data": {
          "id": "note-uxxuk",
          "node": {
            "description": "### 💡 Add your OpenAI API key here👇",
            "display_name": "",
            "documentation": "",
            "template": {
              "backgroundColor": "transparent"
            }
          },
          "type": "note"
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          "x": 2302.9552933034743,
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      }
    ],
    "viewport": {
      "x": -813.150138361608,
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      "zoom": 0.6612152367588026
    }
  },
  "description": "starterProjects.simpleAgent.description",
  "endpoint_name": null,
  "id": "263070d6-3560-4f4d-a6c4-003f4a586e6e",
  "is_component": false,
  "last_tested_version": "1.1.0",
  "name": "starterProjects.simpleAgent.name",
  "tags": [
    "assistants",
    "agents"
  ]
}