{
  "data": {
    "nodes": [
      {
        "data": {
          "node": {
            "template": {
              "_type": "Component",
              "files": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "file_path": "",
                "fileTypes": [
                  "csv",
                  "json",
                  "pdf",
                  "txt",
                  "md",
                  "mdx",
                  "yaml",
                  "yml",
                  "xml",
                  "html",
                  "htm",
                  "docx",
                  "py",
                  "sh",
                  "sql",
                  "js",
                  "ts",
                  "tsx",
                  "jpg",
                  "jpeg",
                  "png",
                  "bmp",
                  "image"
                ],
                "temp_file": true,
                "list": true,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "files",
                "value": "",
                "display_name": "Files",
                "advanced": true,
                "api_editable": false,
                "dynamic": false,
                "info": "Files to be sent with the message.",
                "title_case": false,
                "track_in_telemetry": false,
                "type": "file",
                "_input_type": "FileInput"
              },
              "code": {
                "type": "code",
                "required": true,
                "placeholder": "",
                "list": false,
                "show": true,
                "multiline": true,
                "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",
                "fileTypes": [],
                "file_path": "",
                "password": false,
                "name": "code",
                "advanced": true,
                "api_editable": false,
                "dynamic": true,
                "info": "",
                "load_from_db": false,
                "title_case": false
              },
              "context_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": "context_id",
                "value": "",
                "display_name": "Context ID",
                "advanced": true,
                "api_editable": false,
                "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"
              },
              "input_value": {
                "tool_mode": false,
                "trace_as_input": true,
                "multiline": true,
                "ai_enabled": false,
                "trace_as_metadata": true,
                "load_from_db": false,
                "list": false,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "input_value",
                "value": "",
                "display_name": "Input Text",
                "advanced": false,
                "api_editable": false,
                "input_types": [],
                "dynamic": false,
                "info": "Message to be passed as input.",
                "title_case": false,
                "track_in_telemetry": false,
                "copy_field": false,
                "password": false,
                "type": "str",
                "_input_type": "MultilineInput"
              },
              "sender": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Machine",
                  "User"
                ],
                "options_metadata": [],
                "combobox": false,
                "dialog_inputs": {},
                "toggle": false,
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "sender",
                "value": "User",
                "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": "User",
                "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": "Get chat inputs from the Playground.",
            "icon": "MessagesSquare",
            "base_classes": [
              "Message"
            ],
            "display_name": "Chat Input",
            "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": "Chat 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": "ChatInput",
          "id": "ChatInput-entry",
          "showNode": true
        },
        "id": "ChatInput-entry",
        "measured": {
          "width": 320,
          "height": 200
        },
        "position": {
          "x": 0,
          "y": 200
        },
        "type": "genericNode"
      },
      {
        "data": {
          "node": {
            "template": {
              "form_values": {
                "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": false,
                "name": "form_values",
                "value": "",
                "display_name": "Form values (JSON envelope)",
                "advanced": false,
                "api_editable": false,
                "input_types": [
                  "Message"
                ],
                "dynamic": false,
                "info": "Submitted values as JSON; merged over the defaults",
                "title_case": false,
                "track_in_telemetry": false,
                "type": "str",
                "_input_type": "MessageTextInput"
              },
              "gebaeude": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Kirche",
                  "Anderes Gebäude"
                ],
                "options_metadata": [],
                "combobox": false,
                "dialog_inputs": {},
                "toggle": false,
                "override_skip": false,
                "required": true,
                "placeholder": "",
                "show": true,
                "name": "gebaeude",
                "value": " ",
                "display_name": "Welches Gebäude soll verändert werden?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "",
                "title_case": false,
                "track_in_telemetry": true,
                "external_options": {},
                "type": "str",
                "_input_type": "DropdownInput"
              },
              "bestandteil": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Glocke",
                  "Orgel",
                  "Innenraum",
                  "Fenster",
                  "Fassade"
                ],
                "combobox": false,
                "toggle": false,
                "list": true,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": true,
                "placeholder": "",
                "show": true,
                "name": "bestandteil",
                "value": [
                  " "
                ],
                "display_name": "Welcher Bestandteil der Kirche?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "Mehrfachauswahl möglich [visible_if gebaeude=Kirche]",
                "title_case": false,
                "track_in_telemetry": false,
                "type": "str",
                "_input_type": "MultiselectInput"
              },
              "glockenmassnahme": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Reinigung",
                  "Reparatur",
                  "Neuguss"
                ],
                "options_metadata": [],
                "combobox": false,
                "dialog_inputs": {},
                "toggle": false,
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "glockenmassnahme",
                "value": "Reinigung",
                "display_name": "Welche Maßnahme an der Glocke?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "[visible_if bestandteil=Glocke]",
                "title_case": false,
                "track_in_telemetry": true,
                "external_options": {},
                "type": "str",
                "_input_type": "DropdownInput"
              },
              "gussjahr": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "list": false,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "gussjahr",
                "value": 0,
                "display_name": "Gussjahr (nur bei Neuguss)?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "[visible_if glockenmassnahme=Neuguss]",
                "title_case": false,
                "track_in_telemetry": true,
                "type": "int",
                "_input_type": "IntInput"
              },
              "gebaeudeart": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Wohnhaus",
                  "Scheune",
                  "Sonstiges"
                ],
                "options_metadata": [],
                "combobox": false,
                "dialog_inputs": {},
                "toggle": false,
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "gebaeudeart",
                "value": "Wohnhaus",
                "display_name": "Art des anderen Gebäudes?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "[visible_if gebaeude=\"Anderes Gebäude\"]",
                "title_case": false,
                "track_in_telemetry": true,
                "external_options": {},
                "type": "str",
                "_input_type": "DropdownInput"
              },
              "denkmalschutz": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "list": false,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": false,
                "placeholder": "",
                "show": true,
                "name": "denkmalschutz",
                "value": false,
                "display_name": "Steht das Gebäude unter Denkmalschutz?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "",
                "title_case": false,
                "track_in_telemetry": true,
                "type": "bool",
                "_input_type": "BoolInput"
              },
              "denkmalnummer": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "load_from_db": false,
                "list": false,
                "list_add_label": "Add More",
                "override_skip": false,
                "required": true,
                "placeholder": "",
                "show": true,
                "name": "denkmalnummer",
                "value": " ",
                "display_name": "Aktenzeichen Denkmalschutz?",
                "advanced": false,
                "api_editable": false,
                "dynamic": false,
                "info": "[visible_if denkmalschutz=true]",
                "title_case": false,
                "track_in_telemetry": false,
                "type": "str",
                "_input_type": "StrInput"
              },
              "_type": "Component",
              "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": "\"\"\"Bauvorhaben form component for kirche-einfach flows.\n\nStandalone by design: this module shares NO code with ``form_inputs``\n(no imports from it). The LFX runtime executes the embedded module\nsource without our ``kirche`` package, so every form component must be\nself-contained (stdlib + ``lfx`` only). Do NOT refactor the duplicated\nmachinery below into a shared import — it would break flow execution.\nCopy this file as the starting point for future forms.\n\nA flow that starts with :class:`CustomInputBauvorhaben` declares the\nfields of its web form. The API reads the exported node template\n(``template`` minus ``code``) and derives ``{json_schema, ui_schema}``\nfrom the ``lfx.io`` input definitions below — one JSON-Schema property\nper field, keyed by ``name``:\n\n* ``display_name`` → ``title``, ``info`` → ``description``\n  (``[visible_if ...]`` markers declare conditional branches, see below),\n  ``value`` → ``default``, ``options`` → ``enum``\n* ``required`` → required array (branch-required applies only while visible)\n\n``collect()`` is fully dynamic: it emits every input except the plumbing\none (``form_values``), so fields can be renamed, added, or removed in\nthe Langflow code editor without touching this method.\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 AND currently visible fields. Without the list (raw dict,\nLangflow playground), all visible declared defaults apply.\n\n``collect()`` returns ``Data`` (the LFX JSON type), not ``Message``.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport json\nimport re\nfrom typing import ClassVar\n\nfrom lfx.custom import Component\nfrom lfx.io import (\n    BoolInput,\n    DropdownInput,\n    IntInput,\n    MessageTextInput,\n    MultiselectInput,\n    Output,\n    StrInput,\n)\nfrom lfx.schema.data import Data\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 for one field: 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) -> list:\n    \"\"\"``[(trigger, value)]`` from a field's ``info`` markers.\"\"\"\n    conditions: list = []\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\n#: Reserved input carrying the run envelope — a real runtime input, so it\n#: must stay out of the output. Never name a form field ``form_values``.\nPLUMBING_INPUTS = frozenset({\"form_values\"})\n\n#: ``[visible_if ...]`` marker (same syntax as the backend parser in\n#: ``app/flows/input_schema.py`` — keep the two in sync).\n_VISIBLE_RE = re.compile(r\"\\[visible_if\\s+([^\\]]+)\\]\")\n\n\nclass CustomInputBauvorhaben(Component):\n    display_name = \"Bauvorhaben Form\"\n    description = \"Collects Bauvorhaben form values into a single JSON object.\"\n    icon = \"Church\"\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        DropdownInput(\n            name=\"gebaeude\",\n            display_name=\"Welches Gebäude soll verändert werden?\",\n            info=\"\",\n            options=[\"Kirche\", \"Anderes Gebäude\"],\n            value=\"\",\n            required=True,\n        ),\n        MultiselectInput(\n            name=\"bestandteil\",\n            display_name=\"Welcher Bestandteil der Kirche?\",\n            info=\"Mehrfachauswahl möglich [visible_if gebaeude=Kirche]\",\n            options=[\"Glocke\", \"Orgel\", \"Innenraum\", \"Fenster\", \"Fassade\"],\n            value=[],\n            required=True,\n        ),\n        DropdownInput(\n            name=\"glockenmassnahme\",\n            display_name=\"Welche Maßnahme an der Glocke?\",\n            info=\"[visible_if bestandteil=Glocke]\",\n            options=[\"Reinigung\", \"Reparatur\", \"Neuguss\"],\n            value=\"Reinigung\",\n        ),\n        IntInput(\n            name=\"gussjahr\",\n            display_name=\"Gussjahr (nur bei Neuguss)?\",\n            info=\"[visible_if glockenmassnahme=Neuguss]\",\n            value=0,\n        ),\n        DropdownInput(\n            name=\"gebaeudeart\",\n            display_name=\"Art des anderen Gebäudes?\",\n            info='[visible_if gebaeude=\"Anderes Gebäude\"]',\n            options=[\"Wohnhaus\", \"Scheune\", \"Sonstiges\"],\n            value=\"Wohnhaus\",\n        ),\n        BoolInput(\n            name=\"denkmalschutz\",\n            display_name=\"Steht das Gebäude unter Denkmalschutz?\",\n            info=\"\",\n            value=False,\n        ),\n        StrInput(\n            name=\"denkmalnummer\",\n            display_name=\"Aktenzeichen Denkmalschutz?\",\n            info=\"[visible_if denkmalschutz=true]\",\n            value=\"\",\n            required=True,\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        if isinstance(inputs, dict) and name in inputs:\n            info = getattr(inputs[name], \"info\", \"\") or \"\"\n        for trigger, expected in _field_conditions(info):\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        try:\n            envelope = json.loads(_text(self.form_values) or \"{}\")\n        except (json.JSONDecodeError, ValueError, AttributeError):\n            envelope = {}\n        payload: dict = {}\n        asked: list | None = None\n        if isinstance(envelope, dict):\n            # Asked-field list counts only in true envelope shape\n            # ({\"payload\": {...}, \"fields\": [...]}); a raw dict or a form\n            # field literally named \"fields\" must not confuse it.\n            if isinstance(envelope.get(\"payload\"), dict):\n                payload = envelope[\"payload\"]\n                fields = envelope.get(\"fields\")\n                if isinstance(fields, list) and all(isinstance(item, str) for item in fields):\n                    asked = [item for item in fields if item]\n            else:\n                payload = envelope\n        # Effective trigger values: submitted first, code defaults after.\n        declared = self._field_names()\n        effective = {name: _json_safe(self._field_value(name)) for name in declared}\n        for key, val in payload.items():\n            if isinstance(key, str) and key:\n                effective[key] = _json_safe(val)\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        scope = [name for name in (asked if asked is not None else declared) if name in declared]\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)\n"
              }
            },
            "description": "Collects Bauvorhaben form values into a single JSON object.",
            "icon": "Church",
            "base_classes": [],
            "display_name": "Bauvorhaben 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": "CustomInputBauvorhaben",
          "id": "CustomInputBauvorhaben-bauvorhaben",
          "showNode": true
        },
        "id": "CustomInputBauvorhaben-bauvorhaben",
        "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",
                "fileTypes": [],
                "file_path": "",
                "password": false,
                "name": "code",
                "advanced": true,
                "api_editable": false,
                "dynamic": true,
                "info": "",
                "load_from_db": false,
                "title_case": false
              },
              "context_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": "context_id",
                "value": "",
                "display_name": "Context ID",
                "advanced": true,
                "api_editable": false,
                "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"
              },
              "data_template": {
                "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": "data_template",
                "value": "{text}",
                "display_name": "Data Template",
                "advanced": true,
                "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,
                "track_in_telemetry": false,
                "type": "str",
                "_input_type": "MessageTextInput"
              },
              "sender": {
                "tool_mode": false,
                "trace_as_metadata": true,
                "options": [
                  "Machine",
                  "User"
                ],
                "options_metadata": [],
                "combobox": false,
                "dialog_inputs": {},
                "toggle": false,
                "override_skip": false,
                "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
        },
        "position": {
          "x": 800,
          "y": 200
        },
        "type": "genericNode"
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