991 lines
60 KiB
JSON
991 lines
60 KiB
JSON
{
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"data": {
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"nodes": [
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{
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"data": {
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"node": {
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"template": {
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"_type": "Component",
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"files": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"file_path": "",
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"fileTypes": [
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"csv",
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"json",
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"pdf",
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"txt",
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"md",
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"mdx",
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"yaml",
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"yml",
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"xml",
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"html",
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"htm",
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"docx",
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"py",
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"sh",
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"sql",
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"js",
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"ts",
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"tsx",
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"jpg",
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"jpeg",
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"png",
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"bmp",
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"image"
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],
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"temp_file": true,
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"list": true,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "files",
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"value": "",
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"display_name": "Files",
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"advanced": true,
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"api_editable": false,
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"dynamic": false,
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"info": "Files to be sent with the message.",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "file",
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"_input_type": "FileInput"
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},
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"code": {
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"type": "code",
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"required": true,
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"placeholder": "",
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"list": false,
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"show": true,
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"multiline": true,
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"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.image import get_file_paths\nfrom lfx.schema.message import Message\nfrom lfx.services.deps import get_settings_service\nfrom lfx.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\nfrom lfx.utils.file_path_security import (\n component_file_access_scopes,\n enforce_local_file_access,\n is_local_file_access_restricted,\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 # Build endpoints inject caller-controlled file references directly into\n # ChatInput. Resolve and validate local references before the Message can\n # later read them while constructing model attachment content.\n if files:\n settings_service = get_settings_service()\n storage_type = getattr(getattr(settings_service, \"settings\", None), \"storage_type\", \"local\")\n # The storage factory falls back to local storage for unsupported\n # values, so only the explicitly configured S3 backend may bypass\n # filesystem containment.\n if str(storage_type).lower() != \"s3\" and is_local_file_access_restricted():\n scope_ids = list(component_file_access_scopes(self))\n # Public executions replace graph.flow_id with a per-visitor\n # virtual ID. Only the server-populated source provenance may\n # restore the already-validated public attachment namespace.\n source_flow_id = getattr(self.graph, \"source_flow_id\", None)\n if source_flow_id:\n scope_ids.append(source_flow_id)\n for file_path in get_file_paths(files):\n enforce_local_file_access(file_path, scope_ids=scope_ids)\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",
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"fileTypes": [],
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"file_path": "",
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"password": false,
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"name": "code",
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"advanced": true,
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"api_editable": false,
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"dynamic": true,
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"info": "",
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"load_from_db": false,
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"title_case": false
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},
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"context_id": {
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "context_id",
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"value": "",
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"display_name": "Context ID",
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"advanced": true,
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"api_editable": false,
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"input_types": [
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"Message"
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],
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"dynamic": false,
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"info": "The context ID of the chat. Adds an extra layer to the local memory.",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "str",
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"_input_type": "MessageTextInput"
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},
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"input_value": {
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"tool_mode": false,
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"trace_as_input": true,
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"multiline": true,
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"ai_enabled": false,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "input_value",
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"value": "",
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"display_name": "Input Text",
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"advanced": false,
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"api_editable": false,
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"input_types": [],
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"dynamic": false,
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"info": "Message to be passed as input.",
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"title_case": false,
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"track_in_telemetry": false,
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"copy_field": false,
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"password": false,
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"type": "str",
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"_input_type": "MultilineInput"
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},
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"sender": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"options": [
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"Machine",
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"User"
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],
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"options_metadata": [],
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"combobox": false,
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"dialog_inputs": {},
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"toggle": false,
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "sender",
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"value": "User",
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"display_name": "Sender Type",
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"advanced": true,
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"api_editable": false,
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"dynamic": false,
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"info": "Type of sender.",
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"title_case": false,
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"track_in_telemetry": true,
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"external_options": {},
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"type": "str",
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"_input_type": "DropdownInput"
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},
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"sender_name": {
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "sender_name",
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"value": "User",
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"display_name": "Sender Name",
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"advanced": true,
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"api_editable": false,
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"input_types": [
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"Message"
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],
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"dynamic": false,
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"info": "Name of the sender.",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "str",
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"_input_type": "MessageTextInput"
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},
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"session_id": {
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "session_id",
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"value": "",
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"display_name": "Session ID",
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"advanced": true,
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"api_editable": false,
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"input_types": [
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"Message"
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],
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"dynamic": false,
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"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "str",
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"_input_type": "MessageTextInput"
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},
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"should_store_message": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "should_store_message",
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"value": true,
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"display_name": "Store Messages",
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"advanced": true,
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"api_editable": false,
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"dynamic": false,
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"info": "Store the message in the history.",
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"title_case": false,
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"track_in_telemetry": true,
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"type": "bool",
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"_input_type": "BoolInput"
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}
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},
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"description": "Get chat inputs from the Playground.",
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"icon": "MessagesSquare",
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"base_classes": [
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"Message"
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],
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"display_name": "Chat Input",
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"documentation": "https://docs.langflow.org/chat-input-and-output",
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"minimized": true,
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"custom_fields": {},
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"output_types": [],
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"pinned": false,
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"conditional_paths": [],
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"frozen": false,
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"outputs": [
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{
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"types": [
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"Message"
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],
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"selected": "Message",
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"name": "message",
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"display_name": "Chat Message",
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"method": "message_response",
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"value": "__UNDEFINED__",
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"cache": true,
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"allows_loop": false,
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"group_outputs": false,
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"tool_mode": true
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}
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],
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"field_order": [],
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"beta": false,
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"legacy": false,
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"edited": false,
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"metadata": {},
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"tool_mode": false
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},
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"type": "ChatInput",
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"id": "ChatInput-entry",
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"showNode": true
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},
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"id": "ChatInput-entry",
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"measured": {
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"width": 320,
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"height": 200
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},
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"position": {
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"x": 0,
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"y": 200
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},
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"type": "genericNode"
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},
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{
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"data": {
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"node": {
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"template": {
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"_type": "Component",
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"attachment": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"file_path": "",
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"fileTypes": [
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"pdf",
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"png",
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"jpg"
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],
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"temp_file": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "attachment",
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"value": "",
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"display_name": "Attachment",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "String reference only for now (no upload yet)",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "file",
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"_input_type": "FileInput"
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},
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"age": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "age",
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"value": 18,
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"display_name": "Age",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "Your age in years",
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"title_case": false,
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"track_in_telemetry": true,
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"type": "int",
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"_input_type": "IntInput"
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},
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"amount": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "amount",
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"value": 0.0,
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"display_name": "Amount",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "Amount in euros",
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"title_case": false,
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"track_in_telemetry": true,
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"type": "float",
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"_input_type": "FloatInput"
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},
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"department": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"options": [
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"Music",
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"Youth",
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"Seniors",
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"Admin"
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],
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"options_metadata": [],
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"combobox": false,
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"dialog_inputs": {},
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"toggle": false,
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "department",
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"value": "Music",
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"display_name": "Department",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "Which team is this for",
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"title_case": false,
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"track_in_telemetry": true,
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"external_options": {},
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"type": "str",
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"_input_type": "DropdownInput"
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},
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"form_values": {
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": false,
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"name": "form_values",
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"value": "",
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"display_name": "Form values (JSON envelope)",
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"advanced": false,
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"api_editable": false,
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"input_types": [
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"Message"
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],
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"dynamic": false,
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"info": "Submitted values as JSON; merged over the defaults",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "str",
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"_input_type": "MessageTextInput"
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},
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"full_name": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": true,
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"placeholder": "",
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"show": true,
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"name": "full_name",
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"value": " ",
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"display_name": "Full name",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "Your first and last name",
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"title_case": false,
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"track_in_telemetry": false,
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"type": "str",
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"_input_type": "StrInput"
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},
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"newsletter": {
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"tool_mode": false,
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"trace_as_metadata": true,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "newsletter",
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"value": false,
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"display_name": "Newsletter",
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"advanced": false,
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"api_editable": false,
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"dynamic": false,
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"info": "Send me the parish newsletter",
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"title_case": false,
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"track_in_telemetry": true,
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"type": "bool",
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"_input_type": "BoolInput"
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},
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"notes": {
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"tool_mode": false,
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"trace_as_input": true,
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"multiline": true,
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"ai_enabled": false,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
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"show": true,
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"name": "notes",
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"value": "",
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"display_name": "Notes",
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"advanced": false,
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"api_editable": false,
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"input_types": [
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"Message"
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],
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"dynamic": false,
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"info": "Anything else we should know",
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"title_case": false,
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"track_in_telemetry": false,
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"copy_field": false,
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"password": false,
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"type": "str",
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"_input_type": "MultilineInput"
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},
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"password": {
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"load_from_db": true,
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"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "password",
|
|
"value": "",
|
|
"display_name": "Password",
|
|
"advanced": false,
|
|
"api_editable": false,
|
|
"input_types": [],
|
|
"dynamic": false,
|
|
"info": "Optional access phrase",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"password": true,
|
|
"type": "str",
|
|
"_input_type": "SecretStrInput"
|
|
},
|
|
"satisfaction": {
|
|
"tool_mode": false,
|
|
"min_label": "",
|
|
"max_label": "",
|
|
"min_label_icon": "",
|
|
"max_label_icon": "",
|
|
"slider_buttons": false,
|
|
"slider_buttons_options": [],
|
|
"slider_input": false,
|
|
"range_spec": {
|
|
"step_type": "float",
|
|
"min": 1.0,
|
|
"max": 5.0,
|
|
"step": 1.0
|
|
},
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "satisfaction",
|
|
"value": 3,
|
|
"display_name": "Satisfaction",
|
|
"advanced": false,
|
|
"api_editable": false,
|
|
"dynamic": false,
|
|
"info": "How satisfied are you (1-5)",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "slider",
|
|
"_input_type": "SliderInput"
|
|
},
|
|
"topics": {
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"options": [
|
|
"Worship",
|
|
"Outreach",
|
|
"Courses"
|
|
],
|
|
"combobox": false,
|
|
"toggle": false,
|
|
"list": true,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "topics",
|
|
"value": [],
|
|
"display_name": "Topics",
|
|
"advanced": false,
|
|
"api_editable": false,
|
|
"dynamic": false,
|
|
"info": "What are you interested in",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "str",
|
|
"_input_type": "MultiselectInput"
|
|
},
|
|
"code": {
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "\"\"\"Structured form-input component for kirche-einfach flows.\n\nA flow that starts with :class:`CustomInputForm` declares the fields of its\nweb form. The API reads the exported node template\n(``template`` minus ``code``) and derives ``{json_schema, ui_schema}`` from\nthe ``lfx.io`` input definitions below — one JSON-Schema property per field,\nkeyed by ``name``. Field metadata maps as follows:\n\n* ``display_name`` → ``title``, ``info`` → ``description``,\n ``value`` → ``default``, ``options`` → ``enum``\n* ``required`` → required array, ``advanced`` → ``ui:collapsed`` hint\n* ``_input_type`` → JSON type + widget (see ``app/flows/input_schema.py``)\n\n``collect()`` is fully dynamic: it emits every input except the plumbing\nones (``form_values``, ``code``), so fields can be renamed, added, or\nremoved in the Langflow code editor without touching this method.\n``name`` is the stable JSON key (freely renamable, must stay unique and\nnon-empty); downstream components read the keys as-is.\n\nWhen the run envelope names the asked fields (``fields`` list, sent by\nthe API from the version's form schema), defaults are emitted only for\nasked fields — the template may declare fields unknown to this code and\nunasked code defaults stay out of the output. Without the list (raw dict,\nLangflow playground), all declared defaults apply.\n\n``collect()`` returns ``Data`` (the LFX JSON type), not ``Message``: the\nvalues travel as a real JSON object. A terminal ``ChatOutput`` renders it\nas a fenced ```json block; components consuming it should read ``.data``\n(or ``get_text()``), not ``.text``.\n\n``FileInput`` is a stub for now: it carries a string reference only, real\nupload comes later.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport json # noqa: F401 -- used by inlined _form_core at runtime\nimport re # noqa: F401 -- used by inlined _form_core at runtime\nfrom typing import ClassVar\n\nfrom lfx.custom import Component\nfrom lfx.field_typing.range_spec import RangeSpec\nfrom lfx.io import (\n BoolInput,\n DropdownInput,\n FileInput,\n FloatInput,\n IntInput,\n MessageTextInput,\n MultilineInput,\n MultiselectInput,\n Output,\n SecretStrInput,\n SliderInput,\n StrInput,\n)\nfrom lfx.schema.data import Data\n\n_VISIBLE_RE = re.compile(r\"\\[visible_if\\s+([^\\]]+)\\]\")\n\n#: Reserved input carrying the run envelope — never a form field name.\nPLUMBING_INPUTS = frozenset({\"form_values\", \"code\"})\n\n\ndef _text(value) -> str:\n if value is None:\n return \"\"\n if hasattr(value, \"text\"):\n return value.text or \"\"\n return str(value)\n\n\ndef _json_safe(value):\n \"\"\"Plain JSON value: unwrap LFX wrappers, keep scalars.\"\"\"\n if value is None or isinstance(value, (bool, int, float, str)):\n return value\n if isinstance(value, list):\n return [_json_safe(item) for item in value]\n if isinstance(value, dict):\n return {str(key): _json_safe(item) for key, item in value.items()}\n text = getattr(value, \"text\", None)\n if isinstance(text, str):\n return text\n data = getattr(value, \"data\", None)\n if isinstance(data, dict):\n return _json_safe(data)\n return str(value)\n\n\ndef _split_conditions(text: str) -> list:\n parts: list = []\n buf: list = []\n quoted = False\n for char in text:\n if char == '\"':\n quoted = not quoted\n buf.append(char)\n elif char == \"&\" and not quoted:\n parts.append(\"\".join(buf))\n buf = []\n else:\n buf.append(char)\n parts.append(\"\".join(buf))\n return [part.strip() for part in parts if part.strip()]\n\n\ndef _parse_condition(token: str):\n field, sep, value = token.partition(\"=\")\n field, value = field.strip(), value.strip()\n if not sep or not field or not value:\n return None\n if len(value) >= 2 and value.startswith('\"') and value.endswith('\"'):\n value = value[1:-1]\n lowered = value.lower()\n if lowered == \"true\":\n return field, True\n if lowered == \"false\":\n return field, False\n try:\n return field, int(value)\n except ValueError:\n pass\n try:\n return field, float(value)\n except ValueError:\n pass\n return field, value\n\n\ndef _field_conditions(info: object, structured=None) -> list:\n \"\"\"[(trigger, value)] from structured key or info markers.\n\n Structured ``visible_if`` (list of ``{field, value}`` or ``{field: value}``\n dict) wins; legacy ``[visible_if ...]`` markers in ``info`` stay as\n deprecated fallback.\n \"\"\"\n if structured:\n conditions: list = []\n items = structured.items() if isinstance(structured, dict) else structured\n for item in items or []:\n if isinstance(item, dict) and \"field\" in item:\n conditions.append((item[\"field\"], item.get(\"value\")))\n elif isinstance(item, (list, tuple)) and len(item) == 2:\n conditions.append((item[0], item[1]))\n if conditions:\n return conditions\n conditions = []\n\n def _collect(match) -> str:\n for token in _split_conditions(match.group(1)):\n parsed = _parse_condition(token)\n if parsed is not None:\n conditions.append(parsed)\n return \"\"\n\n _VISIBLE_RE.sub(_collect, info if isinstance(info, str) else \"\")\n return conditions\n\n\ndef collect_form_data(field_names: list, field_values: dict, payload: dict, asked=None) -> dict:\n \"\"\"Shared collect(): effective values, visibility scope, submitted wins.\"\"\"\n effective = dict(field_values)\n for key, val in payload.items():\n if isinstance(key, str) and key:\n effective[key] = _json_safe(val)\n scope = [n for n in (asked if asked is not None else field_names) if n in field_names]\n return effective, scope\n\n\ndef parse_envelope(text_value) -> tuple[dict, list | None]:\n \"\"\"(payload, asked-fields) from the run envelope text.\"\"\"\n try:\n envelope = json.loads(_text(text_value) or \"{}\")\n except (json.JSONDecodeError, ValueError, AttributeError):\n return {}, None\n if not isinstance(envelope, dict):\n return {}, None\n if isinstance(envelope.get(\"payload\"), dict):\n fields = envelope.get(\"fields\")\n asked = (\n [i for i in fields if i]\n if isinstance(fields, list) and all(isinstance(i, str) for i in fields)\n else None\n )\n return envelope[\"payload\"], asked\n return envelope, None\n\n# (LFX executes embedded source without the kirche package) -->\n\n\nclass CustomInputForm(Component):\n display_name = \"CustomInput Form\"\n description = \"Collects structured form values into a single JSON object.\"\n icon = \"ClipboardList\"\n\n inputs: ClassVar[list] = [\n # Plumbing, not a form field: the API posts submitted web-form\n # values as the run envelope (same {\"payload\": {...}} shape the\n # other kirche components use); they arrive here through a ChatInput\n # entry node and override the defaults below. Hidden in the GUI and\n # skipped by the form parser (show=False).\n MessageTextInput(\n name=\"form_values\",\n display_name=\"Form values (JSON envelope)\",\n info=\"Submitted values as JSON; merged over the defaults\",\n value=\"\",\n show=False,\n ),\n StrInput(\n name=\"full_name\",\n display_name=\"Full name\",\n info=\"Your first and last name\",\n value=\"\",\n required=True,\n ),\n MultilineInput(\n name=\"notes\",\n display_name=\"Notes\",\n info=\"Anything else we should know\",\n value=\"\",\n ),\n SecretStrInput(\n name=\"password\",\n display_name=\"Password\",\n info=\"Optional access phrase\",\n value=\"\",\n ),\n IntInput(\n name=\"age\",\n display_name=\"Age\",\n info=\"Your age in years\",\n value=18,\n ),\n FloatInput(\n name=\"amount\",\n display_name=\"Amount\",\n info=\"Amount in euros\",\n value=0.0,\n ),\n BoolInput(\n name=\"newsletter\",\n display_name=\"Newsletter\",\n info=\"Send me the parish newsletter\",\n value=False,\n ),\n DropdownInput(\n name=\"department\",\n display_name=\"Department\",\n info=\"Which team is this for\",\n options=[\"Music\", \"Youth\", \"Seniors\", \"Admin\"],\n value=\"Music\",\n ),\n MultiselectInput(\n name=\"topics\",\n display_name=\"Topics\",\n info=\"What are you interested in\",\n options=[\"Worship\", \"Outreach\", \"Courses\"],\n value=[],\n ),\n SliderInput(\n name=\"satisfaction\",\n display_name=\"Satisfaction\",\n info=\"How satisfied are you (1-5)\",\n value=3,\n range_spec=RangeSpec(min=1, max=5, step=1),\n ),\n FileInput(\n name=\"attachment\",\n display_name=\"Attachment\",\n info=\"String reference only for now (no upload yet)\",\n file_types=[\"pdf\", \"png\", \"jpg\"],\n ),\n ]\n outputs: ClassVar[list] = [\n Output(display_name=\"Form Data\", name=\"form_data\", method=\"collect\"),\n ]\n\n def _field_names(self) -> list:\n \"\"\"Names of all form fields (every input except the plumbing ones).\"\"\"\n inputs = getattr(self, \"_inputs\", None)\n if isinstance(inputs, dict) and inputs:\n return [name for name in inputs if name not in PLUMBING_INPUTS]\n seen = []\n declared = getattr(self, \"inputs\", None) or getattr(type(self), \"inputs\", None) or []\n for inp in declared:\n name = getattr(inp, \"name\", None)\n if name and name not in PLUMBING_INPUTS and name not in seen:\n seen.append(name)\n return seen\n\n def _field_value(self, name: str):\n \"\"\"Runtime value of one input.\n\n Reads ``_inputs`` directly: a field renamed to e.g. ``name`` would\n otherwise resolve to the component attribute instead of its value.\n \"\"\"\n inputs = getattr(self, \"_inputs\", None)\n if isinstance(inputs, dict) and name in inputs:\n return getattr(inputs[name], \"value\", None)\n try:\n return getattr(self, name, None)\n except (AttributeError, ValueError):\n return None\n\n def _is_visible(self, name: str, effective: dict) -> bool:\n \"\"\"Whether a field's branch conditions hold.\n\n Single pass over effective values (submitted first, code defaults\n after): no recursion, so trigger cycles cannot hang — a stale or\n cyclic marker simply matches or not. Unknown triggers never match.\n \"\"\"\n inputs = getattr(self, \"_inputs\", None)\n info = \"\"\n structured = None\n if isinstance(inputs, dict) and name in inputs:\n info = getattr(inputs[name], \"info\", \"\") or \"\"\n structured = getattr(inputs[name], \"visible_if\", None)\n for trigger, expected in _field_conditions(info, structured):\n if trigger == name or trigger not in effective:\n # Self-reference or unknown trigger: fail open (visible),\n # mirroring the backend parser.\n continue\n actual = effective[trigger]\n if isinstance(actual, list):\n if expected not in actual:\n return False\n elif actual != expected:\n return False\n return True\n\n def collect(self) -> Data:\n payload, asked = parse_envelope(self.form_values)\n # Effective trigger values: submitted first, code defaults after.\n declared = self._field_names()\n field_values = {name: _json_safe(self._field_value(name)) for name in declared}\n effective, scope = collect_form_data(declared, field_values, payload, asked)\n # Defaults only for asked AND visible fields (hidden branch fields\n # stay out, like the frontend never submits them); without an asked\n # list, all visible declared fields (Langflow playground).\n data = {name: effective[name] for name in scope if self._is_visible(name, effective)}\n # Submitted values win over the field defaults. Unknown keys are\n # kept: the frontend may already know renamed fields this code\n # revision does not declare.\n for key, val in payload.items():\n if isinstance(key, str) and key:\n data[key] = _json_safe(val)\n return Data(data=data)"
|
|
}
|
|
},
|
|
"description": "Collects structured form values into a single JSON object.",
|
|
"icon": "ClipboardList",
|
|
"base_classes": [],
|
|
"display_name": "CustomInput Form",
|
|
"documentation": "",
|
|
"minimized": false,
|
|
"custom_fields": {},
|
|
"output_types": [],
|
|
"pinned": false,
|
|
"conditional_paths": [],
|
|
"frozen": false,
|
|
"outputs": [
|
|
{
|
|
"types": [
|
|
"JSON"
|
|
],
|
|
"selected": "JSON",
|
|
"name": "form_data",
|
|
"display_name": "Form Data",
|
|
"method": "collect",
|
|
"value": "__UNDEFINED__",
|
|
"cache": true,
|
|
"allows_loop": false,
|
|
"group_outputs": false,
|
|
"tool_mode": true
|
|
}
|
|
],
|
|
"field_order": [],
|
|
"beta": false,
|
|
"legacy": false,
|
|
"edited": false,
|
|
"metadata": {},
|
|
"tool_mode": false
|
|
},
|
|
"type": "CustomInputForm",
|
|
"id": "CustomInputForm-intake",
|
|
"showNode": true
|
|
},
|
|
"id": "CustomInputForm-intake",
|
|
"measured": {
|
|
"width": 320,
|
|
"height": 200
|
|
},
|
|
"position": {
|
|
"x": 400,
|
|
"y": 200
|
|
},
|
|
"type": "genericNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"node": {
|
|
"template": {
|
|
"_type": "Component",
|
|
"input_value": {
|
|
"trace_as_metadata": true,
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": true,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "input_value",
|
|
"value": "",
|
|
"display_name": "Inputs",
|
|
"advanced": false,
|
|
"api_editable": false,
|
|
"input_types": [
|
|
"Data",
|
|
"JSON",
|
|
"DataFrame",
|
|
"Table",
|
|
"Message"
|
|
],
|
|
"dynamic": false,
|
|
"info": "Message to be passed as output.",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "other",
|
|
"_input_type": "HandleInput"
|
|
},
|
|
"clean_data": {
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "clean_data",
|
|
"value": true,
|
|
"display_name": "Basic Clean Data",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"dynamic": false,
|
|
"info": "Whether to clean data before converting to string.",
|
|
"title_case": false,
|
|
"track_in_telemetry": true,
|
|
"type": "bool",
|
|
"_input_type": "BoolInput"
|
|
},
|
|
"code": {
|
|
"type": "code",
|
|
"required": true,
|
|
"placeholder": "",
|
|
"list": false,
|
|
"show": true,
|
|
"multiline": true,
|
|
"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\", \"JSON\", \"DataFrame\", \"Table\", \"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 # Set accumulated token usage from all upstream LLM vertices.\n # This must happen AFTER send_message() because streaming captures\n # usage from chunks and would overwrite accumulated totals.\n if hasattr(self, \"_vertex\") and self._vertex is not None:\n accumulated_usage = self._vertex._accumulate_upstream_token_usage() # noqa: SLF001\n if accumulated_usage:\n message.properties.usage = accumulated_usage\n if self.should_store_message and message.get_id():\n message = await self._update_stored_message(message)\n await self._send_message_event(message, id_=message.get_id())\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",
|
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"fileTypes": [],
|
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"file_path": "",
|
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"password": false,
|
|
"name": "code",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"dynamic": true,
|
|
"info": "",
|
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"load_from_db": false,
|
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"title_case": false
|
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},
|
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"context_id": {
|
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
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"required": false,
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"placeholder": "",
|
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"show": true,
|
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"name": "context_id",
|
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"value": "",
|
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"display_name": "Context ID",
|
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"advanced": true,
|
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"api_editable": false,
|
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"input_types": [
|
|
"Message"
|
|
],
|
|
"dynamic": false,
|
|
"info": "The context ID of the chat. Adds an extra layer to the local memory.",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "str",
|
|
"_input_type": "MessageTextInput"
|
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},
|
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"data_template": {
|
|
"tool_mode": false,
|
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"trace_as_input": true,
|
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"trace_as_metadata": true,
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"load_from_db": false,
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"list": false,
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"list_add_label": "Add More",
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"override_skip": false,
|
|
"required": false,
|
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"placeholder": "",
|
|
"show": true,
|
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"name": "data_template",
|
|
"value": "{text}",
|
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"display_name": "Data Template",
|
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"advanced": true,
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"api_editable": false,
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"dynamic": false,
|
|
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
|
|
"title_case": false,
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"track_in_telemetry": false,
|
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"type": "str",
|
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"_input_type": "MessageTextInput"
|
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},
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"sender": {
|
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"tool_mode": false,
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"trace_as_metadata": true,
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"options": [
|
|
"Machine",
|
|
"User"
|
|
],
|
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"options_metadata": [],
|
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"combobox": false,
|
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"dialog_inputs": {},
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"toggle": false,
|
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"override_skip": false,
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"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "sender",
|
|
"value": "Machine",
|
|
"display_name": "Sender Type",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"dynamic": false,
|
|
"info": "Type of sender.",
|
|
"title_case": false,
|
|
"track_in_telemetry": true,
|
|
"external_options": {},
|
|
"type": "str",
|
|
"_input_type": "DropdownInput"
|
|
},
|
|
"sender_name": {
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"load_from_db": false,
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "sender_name",
|
|
"value": "AI",
|
|
"display_name": "Sender Name",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"dynamic": false,
|
|
"info": "Name of the sender.",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "str",
|
|
"_input_type": "MessageTextInput"
|
|
},
|
|
"session_id": {
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"load_from_db": false,
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "session_id",
|
|
"value": "",
|
|
"display_name": "Session ID",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"input_types": [
|
|
"Message"
|
|
],
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"title_case": false,
|
|
"track_in_telemetry": false,
|
|
"type": "str",
|
|
"_input_type": "MessageTextInput"
|
|
},
|
|
"should_store_message": {
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"override_skip": false,
|
|
"required": false,
|
|
"placeholder": "",
|
|
"show": true,
|
|
"name": "should_store_message",
|
|
"value": true,
|
|
"display_name": "Store Messages",
|
|
"advanced": true,
|
|
"api_editable": false,
|
|
"dynamic": false,
|
|
"info": "Store the message in the history.",
|
|
"title_case": false,
|
|
"track_in_telemetry": true,
|
|
"type": "bool",
|
|
"_input_type": "BoolInput"
|
|
}
|
|
},
|
|
"description": "Display a chat message in the Playground.",
|
|
"icon": "MessagesSquare",
|
|
"base_classes": [
|
|
"Message"
|
|
],
|
|
"display_name": "Chat Output",
|
|
"documentation": "https://docs.langflow.org/chat-input-and-output",
|
|
"minimized": true,
|
|
"custom_fields": {},
|
|
"output_types": [],
|
|
"pinned": false,
|
|
"conditional_paths": [],
|
|
"frozen": false,
|
|
"outputs": [
|
|
{
|
|
"types": [
|
|
"Message"
|
|
],
|
|
"selected": "Message",
|
|
"name": "message",
|
|
"display_name": "Output Message",
|
|
"method": "message_response",
|
|
"value": "__UNDEFINED__",
|
|
"cache": true,
|
|
"allows_loop": false,
|
|
"group_outputs": false,
|
|
"tool_mode": true
|
|
}
|
|
],
|
|
"field_order": [],
|
|
"beta": false,
|
|
"legacy": false,
|
|
"edited": false,
|
|
"metadata": {},
|
|
"tool_mode": false
|
|
},
|
|
"type": "ChatOutput",
|
|
"id": "ChatOutput-collected",
|
|
"showNode": true
|
|
},
|
|
"id": "ChatOutput-collected",
|
|
"measured": {
|
|
"width": 320,
|
|
"height": 200
|
|
},
|
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"position": {
|
|
"x": 800,
|
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"y": 200
|
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},
|
|
"type": "genericNode"
|
|
}
|
|
],
|
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"edges": [
|
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{
|
|
"animated": false,
|
|
"className": "",
|
|
"data": {
|
|
"sourceHandle": {
|
|
"dataType": "ChatInput",
|
|
"id": "ChatInput-entry",
|
|
"name": "message",
|
|
"output_types": [
|
|
"Message"
|
|
]
|
|
},
|
|
"targetHandle": {
|
|
"fieldName": "form_values",
|
|
"id": "CustomInputForm-intake",
|
|
"inputTypes": [
|
|
"Message"
|
|
],
|
|
"type": "str"
|
|
}
|
|
},
|
|
"id": "xy-edge__{œdataTypeœ: œChatInputœ, œidœ: œChatInput-entryœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}-{œfieldNameœ: œform_valuesœ, œidœ: œCustomInputForm-intakeœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}",
|
|
"selected": false,
|
|
"source": "ChatInput-entry",
|
|
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-entryœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
|
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"target": "CustomInputForm-intake",
|
|
"targetHandle": "{œfieldNameœ: œform_valuesœ, œidœ: œCustomInputForm-intakeœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
|
},
|
|
{
|
|
"animated": false,
|
|
"className": "",
|
|
"data": {
|
|
"sourceHandle": {
|
|
"dataType": "CustomInputForm",
|
|
"id": "CustomInputForm-intake",
|
|
"name": "form_data",
|
|
"output_types": [
|
|
"JSON"
|
|
]
|
|
},
|
|
"targetHandle": {
|
|
"fieldName": "input_value",
|
|
"id": "ChatOutput-collected",
|
|
"inputTypes": [
|
|
"Data",
|
|
"JSON",
|
|
"DataFrame",
|
|
"Table",
|
|
"Message"
|
|
],
|
|
"type": "other"
|
|
}
|
|
},
|
|
"id": "xy-edge__{œdataTypeœ: œCustomInputFormœ, œidœ: œCustomInputForm-intakeœ, œnameœ: œform_dataœ, œoutput_typesœ: [œJSONœ]}-{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-collectedœ, œinputTypesœ: [œDataœ, œJSONœ, œDataFrameœ, œTableœ, œMessageœ], œtypeœ: œotherœ}",
|
|
"selected": false,
|
|
"source": "CustomInputForm-intake",
|
|
"sourceHandle": "{œdataTypeœ: œCustomInputFormœ, œidœ: œCustomInputForm-intakeœ, œnameœ: œform_dataœ, œoutput_typesœ: [œJSONœ]}",
|
|
"target": "ChatOutput-collected",
|
|
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-collectedœ, œinputTypesœ: [œDataœ, œJSONœ, œDataFrameœ, œTableœ, œMessageœ], œtypeœ: œotherœ}"
|
|
}
|
|
],
|
|
"viewport": {
|
|
"x": 0,
|
|
"y": 0,
|
|
"zoom": 1
|
|
}
|
|
},
|
|
"description": "Structured intake via CustomInputForm (parsed into a web form).",
|
|
"endpoint_name": null,
|
|
"icon": null,
|
|
"icon_bg_color": null,
|
|
"id": "ec795b9d-f9d2-5730-b016-16e5f9b3bd3f",
|
|
"is_component": false,
|
|
"locked": false,
|
|
"mcp_enabled": false,
|
|
"name": "intake_form",
|
|
"tags": [],
|
|
"webhook": false
|
|
}
|