diff --git a/pyproject.toml b/pyproject.toml index 1495a6313152..fb2a11c60485 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -105,7 +105,7 @@ dependencies = [ "jq>=1.8.0", "pydantic-settings==2.4.0", "ragstack-ai-knowledge-store>=0.2.1", - "duckduckgo-search>=6.3.0", + "duckduckgo-search>=6.3.1", "langchain-elasticsearch>=0.2.0", "opensearch-py>=2.7.1", ] diff --git a/src/backend/base/langflow/alembic/versions/eb5e72293a8e_add_error_and_edit_flags_to_message.py b/src/backend/base/langflow/alembic/versions/eb5e72293a8e_add_error_and_edit_flags_to_message.py new file mode 100644 index 000000000000..1939cd0496d7 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/eb5e72293a8e_add_error_and_edit_flags_to_message.py @@ -0,0 +1,49 @@ +"""Add error and edit flags to message + +Revision ID: eb5e72293a8e +Revises: 5ace73a7f223 +Create Date: 2024-09-19 16:18:50.828648 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "eb5e72293a8e" +down_revision: Union[str, None] = "5ace73a7f223" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() # noqa + column_names = [column["name"] for column in inspector.get_columns("message")] + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("message", schema=None) as batch_op: + if "error" not in column_names: + batch_op.add_column(sa.Column("error", sa.Boolean(), nullable=False, server_default=sa.false())) + if "edit" not in column_names: + batch_op.add_column(sa.Column("edit", sa.Boolean(), nullable=False, server_default=sa.false())) + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() # noqa + column_names = [column["name"] for column in inspector.get_columns("message")] + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("message", schema=None) as batch_op: + if "edit" in column_names: + batch_op.drop_column("edit") + if "error" in column_names: + batch_op.drop_column("error") + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py index 2a3a38739950..51bc435d62a8 100644 --- a/src/backend/base/langflow/api/v1/chat.py +++ b/src/backend/base/langflow/api/v1/chat.py @@ -155,6 +155,9 @@ async def build_flow( telemetry_service: TelemetryService = Depends(get_telemetry_service), session=Depends(get_session), ): + if not inputs: + inputs = InputValueRequest(session=str(flow_id)) + async def build_graph_and_get_order() -> tuple[list[str], list[str], Graph]: start_time = time.perf_counter() components_count = None diff --git a/src/backend/base/langflow/api/v1/monitor.py b/src/backend/base/langflow/api/v1/monitor.py index 9f6d0742c03d..ac3fabf3e95f 100644 --- a/src/backend/base/langflow/api/v1/monitor.py +++ b/src/backend/base/langflow/api/v1/monitor.py @@ -99,6 +99,7 @@ async def update_message( try: message_dict = message.model_dump(exclude_unset=True, exclude_none=True) + message_dict["edit"] = True db_message.sqlmodel_update(message_dict) session.add(db_message) session.commit() diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py index af931c8a2e14..f986765dd4f4 100644 --- a/src/backend/base/langflow/api/v1/schemas.py +++ b/src/backend/base/langflow/api/v1/schemas.py @@ -297,6 +297,7 @@ class VerticesBuiltResponse(BaseModel): class InputValueRequest(BaseModel): components: list[str] | None = [] input_value: str | None = None + session: str | None = None type: InputType | None = Field( "any", description="Defines on which components the input value should be applied. " @@ -310,9 +311,12 @@ class InputValueRequest(BaseModel): { "components": ["components_id", "Component Name"], "input_value": "input_value", + "session": "session_id", }, {"components": ["Component Name"], "input_value": "input_value"}, {"input_value": "input_value"}, + {"components": ["Component Name"], "input_value": "input_value", "session": "session_id"}, + {"input_value": "input_value", "session": "session_id"}, {"type": "chat", "input_value": "input_value"}, {"type": "json", "input_value": '{"key": "value"}'}, ] diff --git a/src/backend/base/langflow/base/astra_assistants/util.py b/src/backend/base/langflow/base/astra_assistants/util.py index 784880813b01..7f69b8a1b019 100644 --- a/src/backend/base/langflow/base/astra_assistants/util.py +++ b/src/backend/base/langflow/base/astra_assistants/util.py @@ -28,7 +28,7 @@ def get_patched_openai_client(shared_component_cache): data = json.loads(response.text) # Extract the model names into a Python list -litellm_model_names = [model for model, _ in data.items() if model != "sample_spec"] +litellm_model_names = [model for model in data if model != "sample_spec"] # To store the class names that extend ToolInterface diff --git a/src/backend/base/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py index 4c94dbcaee1e..ce21413bf423 100644 --- a/src/backend/base/langflow/base/io/chat.py +++ b/src/backend/base/langflow/base/io/chat.py @@ -1,4 +1,5 @@ from collections.abc import AsyncIterator, Iterator +from typing import cast from langflow.custom import Component from langflow.memory import store_message @@ -12,43 +13,52 @@ class ChatComponent(Component): display_name = "Chat Component" description = "Use as base for chat components." - # Keep this method for backward compatibility - def store_message( - self, - message: Message, - ) -> Message: - messages = store_message( - message, - flow_id=self.graph.flow_id, - ) - if len(messages) > 1: + def store_message(self, message: Message) -> Message: + messages = store_message(message, flow_id=self.graph.flow_id) + if len(messages) != 1: msg = "Only one message can be stored at a time." raise ValueError(msg) + stored_message = messages[0] - if ( - hasattr(self, "_event_manager") - and self._event_manager - and stored_message.id - and not isinstance(message.text, str) - ): + self._send_message_event(stored_message) + + if self._should_stream_message(stored_message, message): complete_message = self._stream_message(message, stored_message.id) - message_table = update_message(message_id=stored_message.id, message={"text": complete_message}) - stored_message = Message(**message_table.model_dump()) - self.vertex._added_message = stored_message + stored_message = self._update_stored_message(stored_message.id, complete_message) + self.status = stored_message return stored_message + def _send_message_event(self, message: Message): + if hasattr(self, "_event_manager") and self._event_manager: + self._event_manager.on_message(data=message.data) + + def _should_stream_message(self, stored_message: Message, original_message: Message) -> bool: + return bool( + hasattr(self, "_event_manager") + and self._event_manager + and stored_message.id + and not isinstance(original_message.text, str) + ) + + def _update_stored_message(self, message_id: str, complete_message: str) -> Message: + message_table = update_message(message_id=message_id, message={"text": complete_message}) + updated_message = Message(**message_table.model_dump()) + self.vertex._added_message = updated_message + return updated_message + def _process_chunk(self, chunk: str, complete_message: str, message: Message, message_id: str) -> str: complete_message += chunk - data = { - "text": complete_message, - "chunk": chunk, - "sender": message.sender, - "sender_name": message.sender_name, - "id": str(message_id), - } if self._event_manager: - self._event_manager.on_token(data=data) + self._event_manager.on_token( + data={ + "text": complete_message, + "chunk": chunk, + "sender": message.sender, + "sender_name": message.sender_name, + "id": str(message_id), + } + ) return complete_message async def _handle_async_iterator(self, iterator: AsyncIterator, message: Message, message_id: str) -> str: @@ -69,7 +79,6 @@ def _stream_message(self, message: Message, message_id: str) -> str: complete_message = "" for chunk in iterator: complete_message = self._process_chunk(chunk.content, complete_message, message, message_id) - return complete_message def build_with_data( @@ -80,22 +89,25 @@ def build_with_data( input_value: str | Data | Message | None = None, files: list[str] | None = None, session_id: str | None = None, - return_message: bool | None = False, - ) -> Message: - if isinstance(input_value, Data): - # Update the data of the record - message = Message.from_data(input_value) - else: - message = Message( - text=input_value, sender=sender, sender_name=sender_name, files=files, session_id=session_id - ) + return_message: bool = False, + ) -> str | Message: + message = self._create_message(input_value, sender, sender_name, files, session_id) message_text = message.text if not return_message else message self.status = message_text if session_id and isinstance(message, Message) and isinstance(message.text, str): - messages = store_message( - message, - flow_id=self.graph.flow_id, - ) + messages = store_message(message, flow_id=self.graph.flow_id) self.status = messages - return message_text # type: ignore[return-value] + self._send_messages_events(messages) + + return cast(str | Message, message_text) + + def _create_message(self, input_value, sender, sender_name, files, session_id) -> Message: + if isinstance(input_value, Data): + return Message.from_data(input_value) + return Message(text=input_value, sender=sender, sender_name=sender_name, files=files, session_id=session_id) + + def _send_messages_events(self, messages): + if hasattr(self, "_event_manager") and self._event_manager: + for stored_message in messages: + self._event_manager.on_message(data=stored_message.data) diff --git a/src/backend/base/langflow/components/inputs/ChatInput.py b/src/backend/base/langflow/components/inputs/ChatInput.py index 54b16681a278..13f0c3000546 100644 --- a/src/backend/base/langflow/components/inputs/ChatInput.py +++ b/src/backend/base/langflow/components/inputs/ChatInput.py @@ -2,7 +2,6 @@ from langflow.base.io.chat import ChatComponent from langflow.inputs import BoolInput from langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output -from langflow.memory import store_message from langflow.schema.message import Message from langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER @@ -69,18 +68,12 @@ def message_response(self) -> Message: session_id=self.session_id, files=self.files, ) - - if ( - self.session_id - and isinstance(message, Message) - and isinstance(message.text, str) - and self.should_store_message - ): - store_message( + if self.session_id and isinstance(message, Message) and self.should_store_message: + stored_message = self.store_message( message, - flow_id=self.graph.flow_id, ) - self.message.value = message + self.message.value = stored_message + message = stored_message self.status = message return message diff --git a/src/backend/base/langflow/components/outputs/ChatOutput.py b/src/backend/base/langflow/components/outputs/ChatOutput.py index a0a9b8eeb666..e8e5e51c0603 100644 --- a/src/backend/base/langflow/components/outputs/ChatOutput.py +++ b/src/backend/base/langflow/components/outputs/ChatOutput.py @@ -1,7 +1,6 @@ from langflow.base.io.chat import ChatComponent from langflow.inputs import BoolInput from langflow.io import DropdownInput, MessageTextInput, Output -from langflow.memory import store_message from langflow.schema.message import Message from langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER @@ -65,17 +64,12 @@ def message_response(self) -> Message: sender_name=self.sender_name, session_id=self.session_id, ) - if ( - self.session_id - and isinstance(message, Message) - and isinstance(message.text, str) - and self.should_store_message - ): - store_message( + if self.session_id and isinstance(message, Message) and self.should_store_message: + stored_message = self.store_message( message, - flow_id=self.graph.flow_id, ) - self.message.value = message + self.message.value = stored_message + message = stored_message self.status = message return message diff --git a/src/backend/base/langflow/events/event_manager.py b/src/backend/base/langflow/events/event_manager.py index 501f73146aa2..6390ca45dfda 100644 --- a/src/backend/base/langflow/events/event_manager.py +++ b/src/backend/base/langflow/events/event_manager.py @@ -5,6 +5,7 @@ import uuid from functools import partial +from fastapi.encoders import jsonable_encoder from typing_extensions import Protocol from langflow.schema.log import LoggableType @@ -52,7 +53,8 @@ def register_event(self, name: str, event_type: str, callback: EventCallback | N self.events[name] = _callback def send_event(self, *, event_type: str, data: LoggableType): - json_data = {"event": event_type, "data": data} + jsonable_data = jsonable_encoder(data) + json_data = {"event": event_type, "data": jsonable_data} event_id = uuid.uuid4() str_data = json.dumps(json_data) + "\n\n" self.queue.put_nowait((event_id, str_data.encode("utf-8"), time.time())) diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py index e9e6b839f20f..75dee5752aef 100644 --- a/src/backend/base/langflow/graph/vertex/base.py +++ b/src/backend/base/langflow/graph/vertex/base.py @@ -793,11 +793,20 @@ async def build( # and we are just getting the result for the requester return await self.get_requester_result(requester) self._reset() - + # inject session_id if it is not None + if inputs is not None and "session" in inputs and inputs["session"] is not None and self.has_session_id: + session_id_value = self.get_value_from_template_dict("session_id") + if session_id_value == "": + self.update_raw_params({"session_id": inputs["session"]}, overwrite=True) if self._is_chat_input() and (inputs or files): chat_input = {} - if inputs: - chat_input.update({"input_value": inputs.get(INPUT_FIELD_NAME, "")}) + if ( + inputs + and isinstance(inputs, dict) + and "input_value" in inputs + and inputs["input_value"] is not None + ): + chat_input.update({"input_value": inputs[INPUT_FIELD_NAME]}) if files: chat_input.update({"files": files}) diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json b/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json index 3514d2db0e48..98f53161d4f5 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Agent Flow.json @@ -8,12 +8,16 @@ "dataType": "ToolCallingAgent", "id": "ToolCallingAgent-mf0BN", "name": "response", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-Ag9YG", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -30,12 +34,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-1ioeW", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "ToolCallingAgent-mf0BN", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -52,12 +60,17 @@ "dataType": "CalculatorTool", "id": "CalculatorTool-Nb4P5", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-mf0BN", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -74,12 +87,16 @@ "dataType": "ChatInput", "id": "ChatInput-X3ARP", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ToolCallingAgent-mf0BN", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -95,12 +112,17 @@ "dataType": "PythonREPLTool", "id": "PythonREPLTool-i922a", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-mf0BN", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -116,7 +138,9 @@ "data": { "id": "ChatInput-X3ARP", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -144,7 +168,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -167,7 +193,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "_input_type": "FileInput", @@ -217,7 +243,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -239,7 +267,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -254,7 +285,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -273,7 +306,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -325,7 +360,9 @@ "data": { "id": "ChatOutput-Ag9YG", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -353,7 +390,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -376,7 +415,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "_input_type": "MessageTextInput", @@ -384,7 +423,9 @@ "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -403,7 +444,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -424,7 +467,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -439,7 +485,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -458,7 +506,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -512,7 +562,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-1ioeW", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -545,9 +598,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -567,7 +626,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -580,7 +641,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -615,7 +678,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -731,7 +796,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -796,7 +863,9 @@ "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "system_message", @@ -848,7 +917,10 @@ "data": { "id": "ToolCallingAgent-mf0BN", "node": { - "base_classes": ["AgentExecutor", "Message"], + "base_classes": [ + "AgentExecutor", + "Message" + ], "beta": true, "conditional_paths": [], "custom_fields": {}, @@ -879,7 +951,9 @@ "method": "build_agent", "name": "agent", "selected": "AgentExecutor", - "types": ["AgentExecutor"], + "types": [ + "AgentExecutor" + ], "value": "__UNDEFINED__" }, { @@ -888,7 +962,9 @@ "method": "message_response", "name": "response", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -901,7 +977,9 @@ "display_name": "Chat History", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "chat_history", "placeholder": "", @@ -953,7 +1031,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -972,7 +1052,9 @@ "display_name": "Language Model", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1005,7 +1087,9 @@ "display_name": "System Prompt", "dynamic": false, "info": "System prompt for the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1025,7 +1109,10 @@ "display_name": "Tools", "dynamic": false, "info": "", - "input_types": ["Tool", "BaseTool"], + "input_types": [ + "Tool", + "BaseTool" + ], "list": true, "load_from_db": false, "name": "tools", @@ -1043,7 +1130,9 @@ "display_name": "Prompt", "dynamic": false, "info": "This prompt must contain 'input' key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1096,7 +1185,12 @@ "data": { "id": "CalculatorTool-Nb4P5", "node": { - "base_classes": ["Data", "list", "Sequence", "Tool"], + "base_classes": [ + "Data", + "list", + "Sequence", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1104,7 +1198,9 @@ "display_name": "Calculator", "documentation": "", "edited": false, - "field_order": ["expression"], + "field_order": [ + "expression" + ], "frozen": false, "icon": "calculator", "lf_version": "1.0.16", @@ -1117,9 +1213,13 @@ "display_name": "Data", "method": "run_model", "name": "api_run_model", - "required_inputs": ["expression"], + "required_inputs": [ + "expression" + ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -1127,9 +1227,13 @@ "display_name": "Tool", "method": "build_tool", "name": "api_build_tool", - "required_inputs": ["expression"], + "required_inputs": [ + "expression" + ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -1160,7 +1264,9 @@ "display_name": "Expression", "dynamic": false, "info": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "expression", @@ -1198,7 +1304,10 @@ "display_name": "Python REPL Tool", "id": "PythonREPLTool-i922a", "node": { - "base_classes": ["Data", "Tool"], + "base_classes": [ + "Data", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1206,7 +1315,12 @@ "display_name": "Python REPL Tool", "documentation": "", "edited": false, - "field_order": ["name", "description", "global_imports", "code"], + "field_order": [ + "name", + "description", + "global_imports", + "code" + ], "frozen": false, "metadata": {}, "output_types": [], @@ -1223,7 +1337,9 @@ "name" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -1238,7 +1354,9 @@ "name" ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json index 08ec53274f39..72a12e7f4896 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, World).json @@ -8,12 +8,17 @@ "dataType": "ChatInput", "id": "ChatInput-AwB1F", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "user_input", "id": "Prompt-bHLxK", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -30,12 +35,16 @@ "dataType": "Prompt", "id": "Prompt-bHLxK", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-tnzXU", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -52,12 +61,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-tnzXU", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-wbcyd", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -75,7 +88,9 @@ "display_name": "Chat Input", "id": "ChatInput-AwB1F", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -102,7 +117,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -125,7 +142,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -173,7 +190,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -193,7 +212,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -207,7 +229,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -225,7 +249,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -279,17 +305,23 @@ "display_name": "Prompt", "id": "Prompt-bHLxK", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["user_input"] + "template": [ + "user_input" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "metadata": {}, @@ -301,7 +333,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -350,7 +384,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -388,7 +425,9 @@ "display_name": "Chat Output", "id": "ChatOutput-wbcyd", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -415,7 +454,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -438,14 +479,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -463,7 +506,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -482,7 +527,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -496,7 +544,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -514,7 +564,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -568,7 +620,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-tnzXU", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -600,9 +655,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -622,7 +683,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -635,7 +698,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -669,7 +734,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -772,7 +839,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json b/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json index ab6184f46ada..1110a5b567be 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json @@ -8,12 +8,16 @@ "dataType": "URL", "id": "URL-46k0m", "name": "data", - "output_types": ["Data"] + "output_types": [ + "Data" + ] }, "targetHandle": { "fieldName": "data", "id": "ParseData-jUQRS", - "inputTypes": ["Data"], + "inputTypes": [ + "Data" + ], "type": "other" } }, @@ -30,12 +34,17 @@ "dataType": "ParseData", "id": "ParseData-jUQRS", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "references", "id": "Prompt-Pf4QQ", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -52,12 +61,17 @@ "dataType": "TextInput", "id": "TextInput-slCbp", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "instructions", "id": "Prompt-Pf4QQ", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -74,12 +88,16 @@ "dataType": "Prompt", "id": "Prompt-Pf4QQ", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-o0Gr0", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -96,12 +114,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-o0Gr0", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-eIVde", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -119,7 +141,9 @@ "display_name": "URL", "id": "URL-46k0m", "node": { - "base_classes": ["Data"], + "base_classes": [ + "Data" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -127,7 +151,9 @@ "display_name": "URL", "documentation": "", "edited": false, - "field_order": ["urls"], + "field_order": [ + "urls" + ], "frozen": false, "icon": "layout-template", "metadata": {}, @@ -139,7 +165,9 @@ "method": "fetch_content", "name": "data", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -148,7 +176,9 @@ "method": "fetch_content_text", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -181,7 +211,10 @@ "dynamic": false, "info": "Output format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.", "name": "format", - "options": ["Text", "Raw HTML"], + "options": [ + "Text", + "Raw HTML" + ], "placeholder": "", "required": false, "show": true, @@ -195,7 +228,9 @@ "display_name": "URLs", "dynamic": false, "info": "Enter one or more URLs, by clicking the '+' button.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": true, "load_from_db": false, "name": "urls", @@ -206,7 +241,10 @@ "trace_as_input": true, "trace_as_metadata": true, "type": "str", - "value": ["langflow.org/", "docs.langflow.org/"] + "value": [ + "langflow.org/", + "docs.langflow.org/" + ] } } }, @@ -233,7 +271,9 @@ "display_name": "Parse Data", "id": "ParseData-jUQRS", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -241,7 +281,11 @@ "display_name": "Parse Data", "documentation": "", "edited": false, - "field_order": ["data", "template", "sep"], + "field_order": [ + "data", + "template", + "sep" + ], "frozen": false, "icon": "braces", "metadata": {}, @@ -253,7 +297,9 @@ "method": "parse_data", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -283,7 +329,9 @@ "display_name": "Data", "dynamic": false, "info": "The data to convert to text.", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": false, "name": "data", "placeholder": "", @@ -316,7 +364,9 @@ "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -355,17 +405,24 @@ "display_name": "Prompt", "id": "Prompt-Pf4QQ", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["references", "instructions"] + "template": [ + "references", + "instructions" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "metadata": {}, @@ -377,7 +434,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -410,7 +469,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -431,7 +493,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -485,7 +550,9 @@ "display_name": "Instructions", "id": "TextInput-slCbp", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -493,7 +560,9 @@ "display_name": "Instructions", "documentation": "", "edited": false, - "field_order": ["input_value"], + "field_order": [ + "input_value" + ], "frozen": false, "icon": "type", "output_types": [], @@ -504,7 +573,9 @@ "method": "text_response", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -535,7 +606,9 @@ "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -574,7 +647,9 @@ "display_name": "Chat Output", "id": "ChatOutput-eIVde", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -601,7 +676,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -624,14 +701,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -649,7 +728,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -668,7 +749,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -682,7 +766,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -700,7 +786,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -754,7 +842,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-o0Gr0", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -786,9 +877,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -808,7 +905,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -821,7 +920,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -855,7 +956,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -958,7 +1061,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Complex Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Complex Agent.json index f67aa36c8422..33cad0af8c69 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Complex Agent.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Complex Agent.json @@ -8,12 +8,16 @@ "dataType": "HierarchicalCrewComponent", "id": "HierarchicalCrewComponent-3JGY1", "name": "output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-8FKry", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -31,12 +35,16 @@ "dataType": "HierarchicalTaskComponent", "id": "HierarchicalTaskComponent-GuXH7", "name": "task_output", - "output_types": ["HierarchicalTask"] + "output_types": [ + "HierarchicalTask" + ] }, "targetHandle": { "fieldName": "tasks", "id": "HierarchicalCrewComponent-3JGY1", - "inputTypes": ["HierarchicalTask"], + "inputTypes": [ + "HierarchicalTask" + ], "type": "other" } }, @@ -54,12 +62,16 @@ "dataType": "CrewAIAgentComponent", "id": "CrewAIAgentComponent-ViX9d", "name": "output", - "output_types": ["Agent"] + "output_types": [ + "Agent" + ] }, "targetHandle": { "fieldName": "agents", "id": "HierarchicalCrewComponent-3JGY1", - "inputTypes": ["Agent"], + "inputTypes": [ + "Agent" + ], "type": "other" } }, @@ -77,12 +89,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-ucjrK", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -100,12 +116,16 @@ "dataType": "CrewAIAgentComponent", "id": "CrewAIAgentComponent-aCLi7", "name": "output", - "output_types": ["Agent"] + "output_types": [ + "Agent" + ] }, "targetHandle": { "fieldName": "manager_agent", "id": "HierarchicalCrewComponent-3JGY1", - "inputTypes": ["Agent"], + "inputTypes": [ + "Agent" + ], "type": "other" } }, @@ -123,12 +143,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-wMVJn", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-aCLi7", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -146,12 +170,16 @@ "dataType": "Prompt", "id": "Prompt-gbnQU", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "task_description", "id": "HierarchicalTaskComponent-GuXH7", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -169,12 +197,17 @@ "dataType": "ChatInput", "id": "ChatInput-1Gki8", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "query", "id": "Prompt-gbnQU", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -192,12 +225,16 @@ "dataType": "YFinanceTool", "id": "YFinanceTool-gzeyq", "name": "tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["Tool"], + "inputTypes": [ + "Tool" + ], "type": "other" } }, @@ -215,12 +252,16 @@ "dataType": "Prompt", "id": "Prompt-qCC5T", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-KnjCY", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -238,12 +279,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-KnjCY", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "role", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -261,12 +306,17 @@ "dataType": "ChatInput", "id": "ChatInput-1Gki8", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "query", "id": "Prompt-5wrVb", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -284,12 +334,17 @@ "dataType": "ChatInput", "id": "ChatInput-1Gki8", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "query", "id": "Prompt-qCC5T", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -307,12 +362,16 @@ "dataType": "Prompt", "id": "Prompt-5wrVb", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-wOSDH", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -330,12 +389,17 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-KnjCY", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "role", "id": "Prompt-5wrVb", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -353,12 +417,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-wOSDH", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "goal", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -376,12 +444,16 @@ "dataType": "Prompt", "id": "Prompt-g5dyc", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-lajm6", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -399,12 +471,17 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-wOSDH", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "goal", "id": "Prompt-g5dyc", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -421,12 +498,17 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-KnjCY", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "role", "id": "Prompt-g5dyc", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -443,12 +525,17 @@ "dataType": "ChatInput", "id": "ChatInput-1Gki8", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "query", "id": "Prompt-g5dyc", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -465,12 +552,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-lajm6", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "backstory", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -487,12 +578,16 @@ "dataType": "SearchAPI", "id": "SearchAPI-1mPpu", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "CrewAIAgentComponent-ViX9d", - "inputTypes": ["Tool"], + "inputTypes": [ + "Tool" + ], "type": "other" } }, @@ -510,7 +605,9 @@ "display_name": "Hierarchical Crew", "id": "HierarchicalCrewComponent-3JGY1", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -542,7 +639,9 @@ "name": "output", "required_inputs": [], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -554,7 +653,9 @@ "display_name": "Agents", "dynamic": false, "info": "", - "input_types": ["Agent"], + "input_types": [ + "Agent" + ], "list": true, "name": "agents", "placeholder": "", @@ -588,7 +689,9 @@ "display_name": "Function Calling LLM", "dynamic": false, "info": "Turns the ReAct CrewAI agent into a function-calling agent", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "function_calling_llm", "placeholder": "", @@ -604,7 +707,9 @@ "display_name": "Manager Agent", "dynamic": false, "info": "", - "input_types": ["Agent"], + "input_types": [ + "Agent" + ], "list": false, "name": "manager_agent", "placeholder": "", @@ -620,7 +725,9 @@ "display_name": "Manager LLM", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "manager_llm", "placeholder": "", @@ -681,7 +788,9 @@ "display_name": "Tasks", "dynamic": false, "info": "", - "input_types": ["HierarchicalTask"], + "input_types": [ + "HierarchicalTask" + ], "list": true, "name": "tasks", "placeholder": "", @@ -740,7 +849,10 @@ "data": { "id": "OpenAIModel-ucjrK", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -772,9 +884,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -794,7 +912,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -807,7 +927,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -841,7 +963,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -944,7 +1068,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -1056,7 +1182,9 @@ "display_name": "Chat Output", "id": "ChatOutput-8FKry", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1083,7 +1211,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1106,14 +1236,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -1131,7 +1263,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1150,7 +1284,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -1164,7 +1301,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -1182,7 +1321,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -1230,7 +1371,9 @@ "display_name": "Hierarchical Task", "id": "HierarchicalTaskComponent-GuXH7", "node": { - "base_classes": ["HierarchicalTask"], + "base_classes": [ + "HierarchicalTask" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1238,7 +1381,11 @@ "display_name": "Hierarchical Task", "documentation": "", "edited": false, - "field_order": ["task_description", "expected_output", "tools"], + "field_order": [ + "task_description", + "expected_output", + "tools" + ], "frozen": false, "icon": "CrewAI", "metadata": {}, @@ -1250,7 +1397,9 @@ "method": "build_task", "name": "task_output", "selected": "HierarchicalTask", - "types": ["HierarchicalTask"], + "types": [ + "HierarchicalTask" + ], "value": "__UNDEFINED__" } ], @@ -1280,7 +1429,9 @@ "display_name": "Expected Output", "dynamic": false, "info": "Clear definition of expected task outcome.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1299,7 +1450,9 @@ "display_name": "Description", "dynamic": false, "info": "Descriptive text detailing task's purpose and execution.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1318,7 +1471,9 @@ "display_name": "Tools", "dynamic": false, "info": "List of tools/resources limited for task execution. Uses the Agent tools by default.", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1349,7 +1504,9 @@ "display_name": "CrewAI Agent", "id": "CrewAIAgentComponent-ViX9d", "node": { - "base_classes": ["Agent"], + "base_classes": [ + "Agent" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1380,7 +1537,9 @@ "method": "build_output", "name": "output", "selected": "Agent", - "types": ["Agent"], + "types": [ + "Agent" + ], "value": "__UNDEFINED__" } ], @@ -1422,7 +1581,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1459,7 +1620,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1493,7 +1656,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1524,7 +1689,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1543,7 +1710,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agents disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1590,7 +1759,9 @@ "display_name": "CrewAI Agent", "id": "CrewAIAgentComponent-aCLi7", "node": { - "base_classes": ["Agent"], + "base_classes": [ + "Agent" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1621,7 +1792,9 @@ "method": "build_output", "name": "output", "selected": "Agent", - "types": ["Agent"], + "types": [ + "Agent" + ], "value": "__UNDEFINED__" } ], @@ -1663,7 +1836,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1700,7 +1875,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1734,7 +1911,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1765,7 +1944,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1784,7 +1965,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agents disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1833,7 +2016,10 @@ "data": { "id": "OpenAIModel-wMVJn", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1865,9 +2051,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -1887,7 +2079,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -1900,7 +2094,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -1934,7 +2130,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -2037,7 +2235,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -2149,18 +2349,24 @@ "display_name": "Prompt", "id": "Prompt-gbnQU", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["query"] + "template": [ + "query" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, "error": null, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "full_path": null, "icon": "prompts", @@ -2177,7 +2383,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -2210,7 +2418,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2257,7 +2468,9 @@ "data": { "id": "ChatInput-1Gki8", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2284,7 +2497,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -2307,7 +2522,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -2355,7 +2570,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2375,7 +2592,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -2389,7 +2609,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -2407,7 +2629,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -2460,7 +2684,9 @@ "display_name": "Yahoo Finance News Tool", "id": "YFinanceTool-gzeyq", "node": { - "base_classes": ["Tool"], + "base_classes": [ + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2479,7 +2705,9 @@ "method": "run_model", "name": "api_run_model", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -2488,7 +2716,9 @@ "method": "build_tool", "name": "tool", "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -2519,7 +2749,9 @@ "display_name": "Query", "dynamic": false, "info": "Input should be a company ticker. For example, AAPL for Apple, MSFT for Microsoft.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -2555,7 +2787,10 @@ "data": { "id": "OpenAIModel-KnjCY", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2587,9 +2822,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -2609,7 +2850,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -2622,7 +2865,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -2656,7 +2901,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -2759,7 +3006,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -2871,17 +3120,23 @@ "display_name": "Role Prompt", "id": "Prompt-qCC5T", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["query"] + "template": [ + "query" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Role Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "output_types": [], @@ -2892,7 +3147,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -2925,7 +3182,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2977,7 +3237,10 @@ "data": { "id": "OpenAIModel-wOSDH", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -3009,9 +3272,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -3031,7 +3300,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -3044,7 +3315,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -3078,7 +3351,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -3181,7 +3456,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -3293,17 +3570,24 @@ "display_name": "Goal Prompt", "id": "Prompt-5wrVb", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["query", "role"] + "template": [ + "query", + "role" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Goal Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "output_types": [], @@ -3314,7 +3598,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -3347,7 +3633,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -3367,7 +3656,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -3419,7 +3711,10 @@ "data": { "id": "OpenAIModel-lajm6", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -3451,9 +3746,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -3473,7 +3774,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -3486,7 +3789,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -3520,7 +3825,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -3623,7 +3930,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -3735,18 +4044,26 @@ "display_name": "Prompt", "id": "Prompt-g5dyc", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["query", "role", "goal"] + "template": [ + "query", + "role", + "goal" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, "error": null, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "full_path": null, "icon": "prompts", @@ -3763,7 +4080,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -3796,7 +4115,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -3817,7 +4139,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -3838,7 +4163,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -3891,7 +4219,10 @@ "display_name": "Search API", "id": "SearchAPI-1mPpu", "node": { - "base_classes": ["Data", "Tool"], + "base_classes": [ + "Data", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -3923,7 +4254,9 @@ "search_params" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -3940,7 +4273,9 @@ "search_params" ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -3952,7 +4287,9 @@ "display_name": "SearchAPI API Key", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -3986,7 +4323,9 @@ "display_name": "Engine", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "engine", @@ -4004,7 +4343,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -4103,4 +4444,5 @@ "openai", "chatbots" ] + } diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json index ce94800c1474..afa9a100d655 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Document QA.json @@ -8,12 +8,17 @@ "dataType": "ChatInput", "id": "ChatInput-Emi4q", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "Question", "id": "Prompt-n8yRL", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -30,12 +35,16 @@ "dataType": "Prompt", "id": "Prompt-n8yRL", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-1hwZ2", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -52,12 +61,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-1hwZ2", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-sD0lp", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -74,12 +87,17 @@ "dataType": "ParseData", "id": "ParseData-qYLes", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "Document", "id": "Prompt-n8yRL", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -96,12 +114,16 @@ "dataType": "File", "id": "File-0oa6O", "name": "data", - "output_types": ["Data"] + "output_types": [ + "Data" + ] }, "targetHandle": { "fieldName": "data", "id": "ParseData-qYLes", - "inputTypes": ["Data"], + "inputTypes": [ + "Data" + ], "type": "other" } }, @@ -119,17 +141,24 @@ "display_name": "Prompt", "id": "Prompt-n8yRL", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["Document", "Question"] + "template": [ + "Document", + "Question" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "metadata": {}, @@ -141,7 +170,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -155,7 +186,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -176,7 +210,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -249,7 +286,9 @@ "display_name": "Chat Input", "id": "ChatInput-Emi4q", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -276,7 +315,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -299,7 +340,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -347,7 +388,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -367,7 +410,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -381,7 +427,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -399,7 +447,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -453,7 +503,9 @@ "display_name": "Chat Output", "id": "ChatOutput-sD0lp", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -480,7 +532,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -503,14 +557,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -528,7 +584,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -547,7 +605,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -561,7 +622,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -579,7 +642,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -633,7 +698,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-1hwZ2", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -665,9 +733,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -687,7 +761,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -700,7 +776,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -734,7 +812,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -837,7 +917,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -949,7 +1031,9 @@ "display_name": "Parse Data", "id": "ParseData-qYLes", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -957,7 +1041,11 @@ "display_name": "Parse Data", "documentation": "", "edited": false, - "field_order": ["data", "template", "sep"], + "field_order": [ + "data", + "template", + "sep" + ], "frozen": false, "icon": "braces", "metadata": {}, @@ -969,7 +1057,9 @@ "method": "parse_data", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -999,7 +1089,9 @@ "display_name": "Data", "dynamic": false, "info": "The data to convert to text.", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": false, "name": "data", "placeholder": "", @@ -1032,7 +1124,9 @@ "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1071,7 +1165,9 @@ "display_name": "File", "id": "File-0oa6O", "node": { - "base_classes": ["Data"], + "base_classes": [ + "Data" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1079,7 +1175,10 @@ "display_name": "File", "documentation": "", "edited": false, - "field_order": ["path", "silent_errors"], + "field_order": [ + "path", + "silent_errors" + ], "frozen": false, "icon": "file-text", "metadata": {}, @@ -1091,7 +1190,9 @@ "method": "load_file", "name": "data", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" } ], diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json index 80fb793f4559..ce8c52f7a3ae 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json @@ -8,12 +8,16 @@ "dataType": "HierarchicalCrewComponent", "id": "HierarchicalCrewComponent-Y0Uvf", "name": "output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-VzVJK", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -31,12 +35,16 @@ "dataType": "HierarchicalTaskComponent", "id": "HierarchicalTaskComponent-hE8H5", "name": "task_output", - "output_types": ["HierarchicalTask"] + "output_types": [ + "HierarchicalTask" + ] }, "targetHandle": { "fieldName": "tasks", "id": "HierarchicalCrewComponent-Y0Uvf", - "inputTypes": ["HierarchicalTask"], + "inputTypes": [ + "HierarchicalTask" + ], "type": "other" } }, @@ -54,12 +62,16 @@ "dataType": "CrewAIAgentComponent", "id": "CrewAIAgentComponent-EbpXd", "name": "output", - "output_types": ["Agent"] + "output_types": [ + "Agent" + ] }, "targetHandle": { "fieldName": "agents", "id": "HierarchicalCrewComponent-Y0Uvf", - "inputTypes": ["Agent"], + "inputTypes": [ + "Agent" + ], "type": "other" } }, @@ -77,12 +89,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-Yjtpu", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-EbpXd", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -100,12 +116,16 @@ "dataType": "CrewAIAgentComponent", "id": "CrewAIAgentComponent-9D8ao", "name": "output", - "output_types": ["Agent"] + "output_types": [ + "Agent" + ] }, "targetHandle": { "fieldName": "manager_agent", "id": "HierarchicalCrewComponent-Y0Uvf", - "inputTypes": ["Agent"], + "inputTypes": [ + "Agent" + ], "type": "other" } }, @@ -123,12 +143,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-HgNnu", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-9D8ao", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -146,12 +170,16 @@ "dataType": "Prompt", "id": "Prompt-eqGhn", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "task_description", "id": "HierarchicalTaskComponent-hE8H5", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -168,12 +196,17 @@ "dataType": "ChatInput", "id": "ChatInput-xgRl9", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "query", "id": "Prompt-eqGhn", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -190,12 +223,16 @@ "dataType": "CrewAIAgentComponent", "id": "CrewAIAgentComponent-UMpxO", "name": "output", - "output_types": ["Agent"] + "output_types": [ + "Agent" + ] }, "targetHandle": { "fieldName": "agents", "id": "HierarchicalCrewComponent-Y0Uvf", - "inputTypes": ["Agent"], + "inputTypes": [ + "Agent" + ], "type": "other" } }, @@ -212,12 +249,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-Yjtpu", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "CrewAIAgentComponent-UMpxO", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -234,12 +275,16 @@ "dataType": "SearchAPI", "id": "SearchAPI-Yokat", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "CrewAIAgentComponent-EbpXd", - "inputTypes": ["Tool"], + "inputTypes": [ + "Tool" + ], "type": "other" } }, @@ -257,7 +302,9 @@ "display_name": "Hierarchical Crew", "id": "HierarchicalCrewComponent-Y0Uvf", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -289,7 +336,9 @@ "name": "output", "required_inputs": [], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -301,7 +350,9 @@ "display_name": "Agents", "dynamic": false, "info": "", - "input_types": ["Agent"], + "input_types": [ + "Agent" + ], "list": true, "name": "agents", "placeholder": "", @@ -335,7 +386,9 @@ "display_name": "Function Calling LLM", "dynamic": false, "info": "Turns the ReAct CrewAI agent into a function-calling agent", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "function_calling_llm", "placeholder": "", @@ -351,7 +404,9 @@ "display_name": "Manager Agent", "dynamic": false, "info": "", - "input_types": ["Agent"], + "input_types": [ + "Agent" + ], "list": false, "name": "manager_agent", "placeholder": "", @@ -367,7 +422,9 @@ "display_name": "Manager LLM", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "manager_llm", "placeholder": "", @@ -428,7 +485,9 @@ "display_name": "Tasks", "dynamic": false, "info": "", - "input_types": ["HierarchicalTask"], + "input_types": [ + "HierarchicalTask" + ], "list": true, "name": "tasks", "placeholder": "", @@ -490,7 +549,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-Yjtpu", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -522,9 +584,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -544,7 +612,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -556,7 +626,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -590,7 +662,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -694,7 +768,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -755,7 +831,9 @@ "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "system_message", @@ -808,7 +886,9 @@ "display_name": "Chat Output", "id": "ChatOutput-VzVJK", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -835,7 +915,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -858,14 +940,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -883,7 +967,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -902,7 +988,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -916,7 +1005,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -934,7 +1025,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -987,7 +1080,9 @@ "display_name": "Hierarchical Task", "id": "HierarchicalTaskComponent-hE8H5", "node": { - "base_classes": ["HierarchicalTask"], + "base_classes": [ + "HierarchicalTask" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -995,7 +1090,11 @@ "display_name": "Hierarchical Task", "documentation": "", "edited": false, - "field_order": ["task_description", "expected_output", "tools"], + "field_order": [ + "task_description", + "expected_output", + "tools" + ], "frozen": false, "icon": "CrewAI", "metadata": {}, @@ -1007,7 +1106,9 @@ "method": "build_task", "name": "task_output", "selected": "HierarchicalTask", - "types": ["HierarchicalTask"], + "types": [ + "HierarchicalTask" + ], "value": "__UNDEFINED__" } ], @@ -1037,7 +1138,9 @@ "display_name": "Expected Output", "dynamic": false, "info": "Clear definition of expected task outcome.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1056,7 +1159,9 @@ "display_name": "Description", "dynamic": false, "info": "Descriptive text detailing task's purpose and execution.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1075,7 +1180,9 @@ "display_name": "Tools", "dynamic": false, "info": "List of tools/resources limited for task execution. Uses the Agent tools by default.", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1111,7 +1218,9 @@ "display_name": "CrewAI Agent", "id": "CrewAIAgentComponent-EbpXd", "node": { - "base_classes": ["Agent"], + "base_classes": [ + "Agent" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1142,7 +1251,9 @@ "method": "build_output", "name": "output", "selected": "Agent", - "types": ["Agent"], + "types": [ + "Agent" + ], "value": "__UNDEFINED__" } ], @@ -1184,7 +1295,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1221,7 +1334,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1255,7 +1370,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1286,7 +1403,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1305,7 +1424,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agents disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1356,7 +1477,9 @@ "display_name": "CrewAI Agent", "id": "CrewAIAgentComponent-9D8ao", "node": { - "base_classes": ["Agent"], + "base_classes": [ + "Agent" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1387,7 +1510,9 @@ "method": "build_output", "name": "output", "selected": "Agent", - "types": ["Agent"], + "types": [ + "Agent" + ], "value": "__UNDEFINED__" } ], @@ -1429,7 +1554,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1466,7 +1593,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1500,7 +1629,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1531,7 +1662,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1550,7 +1683,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agents disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1601,7 +1736,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-HgNnu", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1633,9 +1771,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -1655,7 +1799,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -1667,7 +1813,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -1701,7 +1849,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1805,7 +1955,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -1866,7 +2018,9 @@ "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "system_message", @@ -1919,18 +2073,24 @@ "display_name": "Prompt", "id": "Prompt-eqGhn", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["query"] + "template": [ + "query" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, "error": null, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "full_path": null, "icon": "prompts", @@ -1947,7 +2107,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1980,7 +2142,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2031,7 +2196,9 @@ "data": { "id": "ChatInput-xgRl9", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2058,7 +2225,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -2081,7 +2250,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -2129,7 +2298,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2149,7 +2320,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -2163,7 +2337,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -2181,7 +2357,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -2234,7 +2412,9 @@ "display_name": "CrewAI Agent", "id": "CrewAIAgentComponent-UMpxO", "node": { - "base_classes": ["Agent"], + "base_classes": [ + "Agent" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2265,7 +2445,9 @@ "method": "build_output", "name": "output", "selected": "Agent", - "types": ["Agent"], + "types": [ + "Agent" + ], "value": "__UNDEFINED__" } ], @@ -2307,7 +2489,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2344,7 +2528,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2378,7 +2564,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -2409,7 +2597,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2428,7 +2618,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agents disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -2477,7 +2669,10 @@ "data": { "id": "SearchAPI-Yokat", "node": { - "base_classes": ["Data", "Tool"], + "base_classes": [ + "Data", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2509,7 +2704,9 @@ "search_params" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -2526,7 +2723,9 @@ "search_params" ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -2538,7 +2737,9 @@ "display_name": "SearchAPI API Key", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -2572,7 +2773,9 @@ "display_name": "Engine", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "engine", @@ -2590,7 +2793,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2689,4 +2894,5 @@ "openai", "chatbots" ] + } diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json b/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json index a3770542471a..467f64fc4e7c 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json @@ -8,12 +8,17 @@ "dataType": "ChatInput", "id": "ChatInput-6yuNd", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "user_message", "id": "Prompt-tifRl", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -30,12 +35,16 @@ "dataType": "Prompt", "id": "Prompt-tifRl", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-ZIeE0", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -52,12 +61,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-ZIeE0", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-c3v9q", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -74,12 +87,17 @@ "dataType": "Memory", "id": "Memory-6s5g1", "name": "messages_text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "context", "id": "Prompt-tifRl", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -97,17 +115,24 @@ "display_name": "Prompt", "id": "Prompt-tifRl", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["context", "user_message"] + "template": [ + "context", + "user_message" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "metadata": {}, @@ -119,7 +144,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -152,7 +179,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -189,7 +219,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -227,7 +260,9 @@ "display_name": "Chat Input", "id": "ChatInput-6yuNd", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -254,7 +289,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -277,7 +314,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -325,7 +362,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -345,7 +384,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -359,7 +401,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -377,7 +421,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -431,7 +477,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-ZIeE0", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -463,9 +512,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -485,7 +540,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -498,7 +555,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -532,7 +591,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -635,7 +696,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -747,7 +810,9 @@ "display_name": "Chat Output", "id": "ChatOutput-c3v9q", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -774,7 +839,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -797,14 +864,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -822,7 +891,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -841,7 +912,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -855,7 +929,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -873,7 +949,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -922,7 +1000,11 @@ "display_name": "Chat Memory", "id": "Memory-6s5g1", "node": { - "base_classes": ["BaseChatMemory", "Data", "Message"], + "base_classes": [ + "BaseChatMemory", + "Data", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -950,7 +1032,9 @@ "method": "retrieve_messages", "name": "messages", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -959,7 +1043,9 @@ "method": "retrieve_messages_as_text", "name": "messages_text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -968,7 +1054,9 @@ "method": "build_lc_memory", "name": "lc_memory", "selected": "BaseChatMemory", - "types": ["BaseChatMemory"], + "types": [ + "BaseChatMemory" + ], "value": "__UNDEFINED__" } ], @@ -998,7 +1086,9 @@ "display_name": "External Memory", "dynamic": false, "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", - "input_types": ["BaseChatMessageHistory"], + "input_types": [ + "BaseChatMessageHistory" + ], "list": false, "name": "memory", "placeholder": "", @@ -1030,7 +1120,10 @@ "dynamic": false, "info": "Order of the messages.", "name": "order", - "options": ["Ascending", "Descending"], + "options": [ + "Ascending", + "Descending" + ], "placeholder": "", "required": false, "show": true, @@ -1045,7 +1138,11 @@ "dynamic": false, "info": "Filter by sender type.", "name": "sender", - "options": ["Machine", "User", "Machine and User"], + "options": [ + "Machine", + "User", + "Machine and User" + ], "placeholder": "", "required": false, "show": true, @@ -1059,7 +1156,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Filter by sender name.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -1077,7 +1176,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -1095,7 +1196,9 @@ "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Sequential Agent.json b/src/backend/base/langflow/initial_setup/starter_projects/Sequential Agent.json index b73003b2355d..ca6123e3a037 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Sequential Agent.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Sequential Agent.json @@ -8,12 +8,16 @@ "dataType": "SequentialCrewComponent", "id": "SequentialCrewComponent-3dbbB", "name": "output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-nwCjg", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -30,12 +34,17 @@ "dataType": "TextInput", "id": "TextInput-6QUGr", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "topic", "id": "Prompt-GOdlL", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -52,12 +61,17 @@ "dataType": "TextInput", "id": "TextInput-6QUGr", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "topic", "id": "Prompt-824D7", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -74,12 +88,17 @@ "dataType": "TextInput", "id": "TextInput-6QUGr", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "topic", "id": "Prompt-0vHob", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -96,12 +115,16 @@ "dataType": "Prompt", "id": "Prompt-GOdlL", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "task_description", "id": "SequentialTaskAgentComponent-GWMA1", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -118,12 +141,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-lQ5HF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "SequentialTaskAgentComponent-GWMA1", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -139,12 +166,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-lQ5HF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "SequentialTaskAgentComponent-5i4Wg", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -160,12 +191,16 @@ "dataType": "Prompt", "id": "Prompt-824D7", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "task_description", "id": "SequentialTaskAgentComponent-5i4Wg", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -181,12 +216,16 @@ "dataType": "SequentialTaskAgentComponent", "id": "SequentialTaskAgentComponent-GWMA1", "name": "task_output", - "output_types": ["SequentialTask"] + "output_types": [ + "SequentialTask" + ] }, "targetHandle": { "fieldName": "previous_task", "id": "SequentialTaskAgentComponent-5i4Wg", - "inputTypes": ["SequentialTask"], + "inputTypes": [ + "SequentialTask" + ], "type": "other" } }, @@ -202,12 +241,16 @@ "dataType": "SequentialTaskAgentComponent", "id": "SequentialTaskAgentComponent-5i4Wg", "name": "task_output", - "output_types": ["SequentialTask"] + "output_types": [ + "SequentialTask" + ] }, "targetHandle": { "fieldName": "previous_task", "id": "SequentialTaskAgentComponent-TPEWE", - "inputTypes": ["SequentialTask"], + "inputTypes": [ + "SequentialTask" + ], "type": "other" } }, @@ -223,12 +266,16 @@ "dataType": "Prompt", "id": "Prompt-0vHob", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "task_description", "id": "SequentialTaskAgentComponent-TPEWE", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -244,12 +291,16 @@ "dataType": "SequentialTaskAgentComponent", "id": "SequentialTaskAgentComponent-TPEWE", "name": "task_output", - "output_types": ["SequentialTask"] + "output_types": [ + "SequentialTask" + ] }, "targetHandle": { "fieldName": "tasks", "id": "SequentialCrewComponent-3dbbB", - "inputTypes": ["SequentialTask"], + "inputTypes": [ + "SequentialTask" + ], "type": "other" } }, @@ -265,12 +316,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-lQ5HF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "SequentialTaskAgentComponent-TPEWE", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -286,12 +341,16 @@ "dataType": "YFinanceTool", "id": "YFinanceTool-Asoka", "name": "tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "SequentialTaskAgentComponent-GWMA1", - "inputTypes": ["Tool"], + "inputTypes": [ + "Tool" + ], "type": "other" } }, @@ -309,7 +368,9 @@ "display_name": "Sequential Crew", "id": "SequentialCrewComponent-3dbbB", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -339,7 +400,9 @@ "name": "output", "required_inputs": [], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -369,7 +432,9 @@ "display_name": "Function Calling LLM", "dynamic": false, "info": "Turns the ReAct CrewAI agent into a function-calling agent", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "function_calling_llm", "placeholder": "", @@ -430,7 +495,9 @@ "display_name": "Tasks", "dynamic": false, "info": "", - "input_types": ["SequentialTask"], + "input_types": [ + "SequentialTask" + ], "list": true, "name": "tasks", "placeholder": "", @@ -494,7 +561,10 @@ "data": { "id": "OpenAIModel-lQ5HF", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -527,9 +597,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -549,7 +625,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -562,7 +640,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -596,7 +676,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -699,7 +781,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -811,7 +895,9 @@ "display_name": "Chat Output", "id": "ChatOutput-nwCjg", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -839,7 +925,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -862,14 +950,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -887,7 +977,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -906,7 +998,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -920,7 +1015,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -938,7 +1035,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -985,7 +1084,9 @@ "data": { "id": "TextInput-6QUGr", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -993,7 +1094,9 @@ "display_name": "Topic", "documentation": "", "edited": false, - "field_order": ["input_value"], + "field_order": [ + "input_value" + ], "frozen": false, "icon": "type", "lf_version": "1.0.15", @@ -1005,7 +1108,9 @@ "method": "text_response", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1035,7 +1140,9 @@ "display_name": "Text", "dynamic": false, "info": "Text to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1073,17 +1180,23 @@ "display_name": "Prompt", "id": "Prompt-GOdlL", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["topic"] + "template": [ + "topic" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "lf_version": "1.0.15", @@ -1096,7 +1209,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1145,7 +1260,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1183,17 +1301,23 @@ "display_name": "Prompt", "id": "Prompt-824D7", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["topic"] + "template": [ + "topic" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "lf_version": "1.0.15", @@ -1206,7 +1330,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1255,7 +1381,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1293,17 +1422,23 @@ "display_name": "Prompt", "id": "Prompt-0vHob", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["topic"] + "template": [ + "topic" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "lf_version": "1.0.15", @@ -1316,7 +1451,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1365,7 +1502,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1401,7 +1541,9 @@ "data": { "id": "SequentialTaskAgentComponent-GWMA1", "node": { - "base_classes": ["SequentialTask"], + "base_classes": [ + "SequentialTask" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1437,7 +1579,9 @@ "method": "build_agent_and_task", "name": "task_output", "selected": "SequentialTask", - "types": ["SequentialTask"], + "types": [ + "SequentialTask" + ], "value": "__UNDEFINED__" } ], @@ -1514,7 +1658,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1552,7 +1698,9 @@ "display_name": "Expected Task Output", "dynamic": false, "info": "Clear definition of expected task outcome.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1572,7 +1720,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1592,7 +1742,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1625,7 +1777,9 @@ "display_name": "Previous Task", "dynamic": false, "info": "The previous task in the sequence (for chaining).", - "input_types": ["SequentialTask"], + "input_types": [ + "SequentialTask" + ], "list": false, "name": "previous_task", "placeholder": "", @@ -1642,7 +1796,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1662,7 +1818,9 @@ "display_name": "Task Description", "dynamic": false, "info": "Descriptive text detailing task's purpose and execution.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1682,7 +1840,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agent's disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -1732,7 +1892,9 @@ "data": { "id": "SequentialTaskAgentComponent-5i4Wg", "node": { - "base_classes": ["SequentialTask"], + "base_classes": [ + "SequentialTask" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1768,7 +1930,9 @@ "method": "build_agent_and_task", "name": "task_output", "selected": "SequentialTask", - "types": ["SequentialTask"], + "types": [ + "SequentialTask" + ], "value": "__UNDEFINED__" } ], @@ -1845,7 +2009,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1883,7 +2049,9 @@ "display_name": "Expected Task Output", "dynamic": false, "info": "Clear definition of expected task outcome.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1903,7 +2071,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1923,7 +2093,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1956,7 +2128,9 @@ "display_name": "Previous Task", "dynamic": false, "info": "The previous task in the sequence (for chaining).", - "input_types": ["SequentialTask"], + "input_types": [ + "SequentialTask" + ], "list": false, "name": "previous_task", "placeholder": "", @@ -1973,7 +2147,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1993,7 +2169,9 @@ "display_name": "Task Description", "dynamic": false, "info": "Descriptive text detailing task's purpose and execution.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2013,7 +2191,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agent's disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -2063,7 +2243,9 @@ "data": { "id": "SequentialTaskAgentComponent-TPEWE", "node": { - "base_classes": ["SequentialTask"], + "base_classes": [ + "SequentialTask" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2099,7 +2281,9 @@ "method": "build_agent_and_task", "name": "task_output", "selected": "SequentialTask", - "types": ["SequentialTask"], + "types": [ + "SequentialTask" + ], "value": "__UNDEFINED__" } ], @@ -2176,7 +2360,9 @@ "display_name": "Backstory", "dynamic": false, "info": "The backstory of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2214,7 +2400,9 @@ "display_name": "Expected Task Output", "dynamic": false, "info": "Clear definition of expected task outcome.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2234,7 +2422,9 @@ "display_name": "Goal", "dynamic": false, "info": "The objective of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2254,7 +2444,9 @@ "display_name": "Language Model", "dynamic": false, "info": "Language model that will run the agent.", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -2287,7 +2479,9 @@ "display_name": "Previous Task", "dynamic": false, "info": "The previous task in the sequence (for chaining).", - "input_types": ["SequentialTask"], + "input_types": [ + "SequentialTask" + ], "list": false, "name": "previous_task", "placeholder": "", @@ -2304,7 +2498,9 @@ "display_name": "Role", "dynamic": false, "info": "The role of the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2324,7 +2520,9 @@ "display_name": "Task Description", "dynamic": false, "info": "Descriptive text detailing task's purpose and execution.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2344,7 +2542,9 @@ "display_name": "Tools", "dynamic": false, "info": "Tools at agent's disposal", - "input_types": ["Tool"], + "input_types": [ + "Tool" + ], "list": true, "name": "tools", "placeholder": "", @@ -2394,7 +2594,9 @@ "data": { "id": "YFinanceTool-Asoka", "node": { - "base_classes": ["Tool"], + "base_classes": [ + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2414,7 +2616,9 @@ "method": "run_model", "name": "api_run_model", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -2423,7 +2627,9 @@ "method": "build_tool", "name": "tool", "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -2454,7 +2660,9 @@ "display_name": "Query", "dynamic": false, "info": "Input should be a company ticker. For example, AAPL for Apple, MSFT for Microsoft.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json b/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json index da70e5fb34ca..fb06e377f4e1 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json @@ -8,12 +8,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-gRakF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "ToolCallingAgent-0QzrL", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -30,12 +34,16 @@ "dataType": "ChatInput", "id": "ChatInput-uYdzQ", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ToolCallingAgent-0QzrL", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -52,12 +60,16 @@ "dataType": "ToolCallingAgent", "id": "ToolCallingAgent-KLe5u", "name": "response", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ToolCallingAgent-VYDK9", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -74,12 +86,16 @@ "dataType": "ToolCallingAgent", "id": "ToolCallingAgent-0QzrL", "name": "response", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ToolCallingAgent-KLe5u", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -96,12 +112,17 @@ "dataType": "SearchAPI", "id": "SearchAPI-I4yU0", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-0QzrL", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -118,12 +139,17 @@ "dataType": "url_content_fetcher", "id": "url_content_fetcher-1FugB", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-0QzrL", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -140,12 +166,17 @@ "dataType": "SearchAPI", "id": "SearchAPI-I4yU0", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-KLe5u", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -162,12 +193,17 @@ "dataType": "url_content_fetcher", "id": "url_content_fetcher-1FugB", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-KLe5u", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -184,12 +220,17 @@ "dataType": "url_content_fetcher", "id": "url_content_fetcher-1FugB", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-VYDK9", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -206,12 +247,17 @@ "dataType": "SearchAPI", "id": "SearchAPI-I4yU0", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-VYDK9", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -228,12 +274,16 @@ "dataType": "ToolCallingAgent", "id": "ToolCallingAgent-VYDK9", "name": "response", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-O63dG", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -250,12 +300,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-gRakF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "ToolCallingAgent-VYDK9", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -272,12 +326,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-gRakF", "name": "model_output", - "output_types": ["LanguageModel"] + "output_types": [ + "LanguageModel" + ] }, "targetHandle": { "fieldName": "llm", "id": "ToolCallingAgent-KLe5u", - "inputTypes": ["LanguageModel"], + "inputTypes": [ + "LanguageModel" + ], "type": "other" } }, @@ -294,12 +352,17 @@ "dataType": "CalculatorTool", "id": "CalculatorTool-5S6u9", "name": "api_build_tool", - "output_types": ["Tool"] + "output_types": [ + "Tool" + ] }, "targetHandle": { "fieldName": "tools", "id": "ToolCallingAgent-VYDK9", - "inputTypes": ["Tool", "BaseTool"], + "inputTypes": [ + "Tool", + "BaseTool" + ], "type": "other" } }, @@ -315,7 +378,9 @@ "data": { "id": "ChatInput-uYdzQ", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -343,7 +408,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -366,7 +433,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "_input_type": "FileInput", @@ -416,7 +483,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -438,7 +507,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -453,7 +525,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -472,7 +546,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -524,7 +600,9 @@ "data": { "id": "ChatOutput-O63dG", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -552,7 +630,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -575,7 +655,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "_input_type": "MessageTextInput", @@ -583,7 +663,9 @@ "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -602,7 +684,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -623,7 +707,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -638,7 +725,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -657,7 +746,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -711,7 +802,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-gRakF", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -743,9 +837,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -765,7 +865,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -778,7 +880,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -813,7 +917,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -929,7 +1035,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -994,7 +1102,9 @@ "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "system_message", @@ -1046,7 +1156,10 @@ "data": { "id": "ToolCallingAgent-0QzrL", "node": { - "base_classes": ["AgentExecutor", "Message"], + "base_classes": [ + "AgentExecutor", + "Message" + ], "beta": true, "conditional_paths": [], "custom_fields": {}, @@ -1076,7 +1189,9 @@ "method": "build_agent", "name": "agent", "selected": "AgentExecutor", - "types": ["AgentExecutor"], + "types": [ + "AgentExecutor" + ], "value": "__UNDEFINED__" }, { @@ -1085,7 +1200,9 @@ "method": "message_response", "name": "response", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1098,7 +1215,9 @@ "display_name": "Chat History", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "chat_history", "placeholder": "", @@ -1150,7 +1269,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1169,7 +1290,9 @@ "display_name": "Language Model", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1202,7 +1325,9 @@ "display_name": "System Prompt", "dynamic": false, "info": "System prompt for the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1222,7 +1347,10 @@ "display_name": "Tools", "dynamic": false, "info": "", - "input_types": ["Tool", "BaseTool"], + "input_types": [ + "Tool", + "BaseTool" + ], "list": true, "load_from_db": false, "name": "tools", @@ -1240,7 +1368,9 @@ "display_name": "Prompt", "dynamic": false, "info": "This prompt must contain 'input' key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1293,7 +1423,11 @@ "data": { "id": "SearchAPI-I4yU0", "node": { - "base_classes": ["Data", "list", "Tool"], + "base_classes": [ + "Data", + "list", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1327,7 +1461,9 @@ "search_params" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -1344,7 +1480,9 @@ "search_params" ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -1357,7 +1495,9 @@ "display_name": "SearchAPI API Key", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -1392,7 +1532,9 @@ "display_name": "Engine", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "engine", @@ -1411,7 +1553,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1496,7 +1640,11 @@ "data": { "id": "url_content_fetcher-1FugB", "node": { - "base_classes": ["Data", "list", "Tool"], + "base_classes": [ + "Data", + "list", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1504,7 +1652,10 @@ "display_name": "URL Content Fetcher", "documentation": "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base", "edited": true, - "field_order": ["url", "fetch_params"], + "field_order": [ + "url", + "fetch_params" + ], "frozen": false, "icon": "globe", "lf_version": "1.0.15", @@ -1517,7 +1668,10 @@ "method": "run_model", "name": "api_run_model", "selected": "Data", - "types": ["Data", "list"], + "types": [ + "Data", + "list" + ], "value": "__UNDEFINED__" }, { @@ -1526,7 +1680,9 @@ "method": "build_tool", "name": "api_build_tool", "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -1573,7 +1729,9 @@ "display_name": "URL", "dynamic": false, "info": "Enter a single URL to fetch content from.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "url", @@ -1609,7 +1767,10 @@ "data": { "id": "ToolCallingAgent-KLe5u", "node": { - "base_classes": ["AgentExecutor", "Message"], + "base_classes": [ + "AgentExecutor", + "Message" + ], "beta": true, "conditional_paths": [], "custom_fields": {}, @@ -1639,7 +1800,9 @@ "method": "build_agent", "name": "agent", "selected": "AgentExecutor", - "types": ["AgentExecutor"], + "types": [ + "AgentExecutor" + ], "value": "__UNDEFINED__" }, { @@ -1648,7 +1811,9 @@ "method": "message_response", "name": "response", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1661,7 +1826,9 @@ "display_name": "Chat History", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "chat_history", "placeholder": "", @@ -1713,7 +1880,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1732,7 +1901,9 @@ "display_name": "Language Model", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -1765,7 +1936,9 @@ "display_name": "System Prompt", "dynamic": false, "info": "System prompt for the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1785,7 +1958,10 @@ "display_name": "Tools", "dynamic": false, "info": "", - "input_types": ["Tool", "BaseTool"], + "input_types": [ + "Tool", + "BaseTool" + ], "list": true, "load_from_db": false, "name": "tools", @@ -1803,7 +1979,9 @@ "display_name": "Prompt", "dynamic": false, "info": "This prompt must contain 'input' key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1856,7 +2034,10 @@ "data": { "id": "ToolCallingAgent-VYDK9", "node": { - "base_classes": ["AgentExecutor", "Message"], + "base_classes": [ + "AgentExecutor", + "Message" + ], "beta": true, "conditional_paths": [], "custom_fields": {}, @@ -1886,7 +2067,9 @@ "method": "build_agent", "name": "agent", "selected": "AgentExecutor", - "types": ["AgentExecutor"], + "types": [ + "AgentExecutor" + ], "value": "__UNDEFINED__" }, { @@ -1895,7 +2078,9 @@ "method": "message_response", "name": "response", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1908,7 +2093,9 @@ "display_name": "Chat History", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "chat_history", "placeholder": "", @@ -1960,7 +2147,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1979,7 +2168,9 @@ "display_name": "Language Model", "dynamic": false, "info": "", - "input_types": ["LanguageModel"], + "input_types": [ + "LanguageModel" + ], "list": false, "name": "llm", "placeholder": "", @@ -2012,7 +2203,9 @@ "display_name": "System Prompt", "dynamic": false, "info": "System prompt for the agent.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2032,7 +2225,10 @@ "display_name": "Tools", "dynamic": false, "info": "", - "input_types": ["Tool", "BaseTool"], + "input_types": [ + "Tool", + "BaseTool" + ], "list": true, "load_from_db": false, "name": "tools", @@ -2050,7 +2246,9 @@ "display_name": "Prompt", "dynamic": false, "info": "This prompt must contain 'input' key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2103,7 +2301,12 @@ "data": { "id": "CalculatorTool-5S6u9", "node": { - "base_classes": ["Data", "list", "Sequence", "Tool"], + "base_classes": [ + "Data", + "list", + "Sequence", + "Tool" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2111,7 +2314,9 @@ "display_name": "Calculator", "documentation": "", "edited": false, - "field_order": ["expression"], + "field_order": [ + "expression" + ], "frozen": false, "icon": "calculator", "lf_version": "1.0.15", @@ -2124,9 +2329,13 @@ "display_name": "Data", "method": "run_model", "name": "api_run_model", - "required_inputs": ["expression"], + "required_inputs": [ + "expression" + ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -2134,9 +2343,13 @@ "display_name": "Tool", "method": "build_tool", "name": "api_build_tool", - "required_inputs": ["expression"], + "required_inputs": [ + "expression" + ], "selected": "Tool", - "types": ["Tool"], + "types": [ + "Tool" + ], "value": "__UNDEFINED__" } ], @@ -2167,7 +2380,9 @@ "display_name": "Expression", "dynamic": false, "info": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "expression", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json index 6868c4554716..c2225cdccd46 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json @@ -8,12 +8,16 @@ "dataType": "ChatInput", "id": "ChatInput-jvvNM", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "search_input", "id": "AstraVectorStoreComponent-0WT85", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -30,12 +34,17 @@ "dataType": "ParseData", "id": "ParseData-f6Jhl", "name": "text", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "context", "id": "Prompt-oJ8Eh", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -52,12 +61,17 @@ "dataType": "ChatInput", "id": "ChatInput-jvvNM", "name": "message", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "question", "id": "Prompt-oJ8Eh", - "inputTypes": ["Message", "Text"], + "inputTypes": [ + "Message", + "Text" + ], "type": "str" } }, @@ -74,12 +88,16 @@ "dataType": "File", "id": "File-JZzdd", "name": "data", - "output_types": ["Data"] + "output_types": [ + "Data" + ] }, "targetHandle": { "fieldName": "data_inputs", "id": "SplitText-Kl7VQ", - "inputTypes": ["Data"], + "inputTypes": [ + "Data" + ], "type": "other" } }, @@ -96,12 +114,16 @@ "dataType": "SplitText", "id": "SplitText-Kl7VQ", "name": "chunks", - "output_types": ["Data"] + "output_types": [ + "Data" + ] }, "targetHandle": { "fieldName": "ingest_data", "id": "AstraVectorStoreComponent-EUhWZ", - "inputTypes": ["Data"], + "inputTypes": [ + "Data" + ], "type": "other" } }, @@ -118,12 +140,16 @@ "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-Mf9md", "name": "embeddings", - "output_types": ["Embeddings"] + "output_types": [ + "Embeddings" + ] }, "targetHandle": { "fieldName": "embedding", "id": "AstraVectorStoreComponent-EUhWZ", - "inputTypes": ["Embeddings"], + "inputTypes": [ + "Embeddings" + ], "type": "other" } }, @@ -140,12 +166,16 @@ "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-q2lBh", "name": "embeddings", - "output_types": ["Embeddings"] + "output_types": [ + "Embeddings" + ] }, "targetHandle": { "fieldName": "embedding", "id": "AstraVectorStoreComponent-0WT85", - "inputTypes": ["Embeddings"], + "inputTypes": [ + "Embeddings" + ], "type": "other" } }, @@ -162,12 +192,16 @@ "dataType": "Prompt", "id": "Prompt-oJ8Eh", "name": "prompt", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-3v8LQ", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -184,12 +218,16 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-3v8LQ", "name": "text_output", - "output_types": ["Message"] + "output_types": [ + "Message" + ] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-oPZbw", - "inputTypes": ["Message"], + "inputTypes": [ + "Message" + ], "type": "str" } }, @@ -206,12 +244,16 @@ "dataType": "AstraVectorStoreComponent", "id": "AstraVectorStoreComponent-0WT85", "name": "search_results", - "output_types": ["Data"] + "output_types": [ + "Data" + ] }, "targetHandle": { "fieldName": "data", "id": "ParseData-f6Jhl", - "inputTypes": ["Data"], + "inputTypes": [ + "Data" + ], "type": "other" } }, @@ -229,7 +271,9 @@ "display_name": "Chat Input", "id": "ChatInput-jvvNM", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -256,7 +300,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -279,7 +325,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_USER, MESSAGE_SENDER_USER\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "files": { "advanced": true, @@ -327,7 +373,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -347,7 +395,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -361,7 +412,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -379,7 +432,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -433,7 +488,10 @@ "edited": false, "id": "AstraVectorStoreComponent-0WT85", "node": { - "base_classes": ["Data", "Retriever"], + "base_classes": [ + "Data", + "Retriever" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -476,7 +534,9 @@ "name": "base_retriever", "required_inputs": [], "selected": "Retriever", - "types": ["Retriever"], + "types": [ + "Retriever" + ], "value": "__UNDEFINED__" }, { @@ -508,7 +568,9 @@ "token" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -518,7 +580,9 @@ "name": "vector_store", "required_inputs": [], "selected": "VectorStore", - "types": ["VectorStore"], + "types": [ + "VectorStore" + ], "value": "__UNDEFINED__" } ], @@ -530,7 +594,9 @@ "display_name": "API Endpoint", "dynamic": false, "info": "API endpoint URL for the Astra DB service.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_endpoint", "password": true, @@ -656,7 +722,9 @@ "display_name": "Embedding Model", "dynamic": false, "info": "Allows an embedding model configuration.", - "input_types": ["Embeddings"], + "input_types": [ + "Embeddings" + ], "list": false, "name": "embedding", "placeholder": "", @@ -675,7 +743,10 @@ "dynamic": false, "info": "Determines whether to use Astra Vectorize for the collection.", "name": "embedding_service", - "options": ["Embedding Model", "Astra Vectorize"], + "options": [ + "Embedding Model", + "Astra Vectorize" + ], "placeholder": "", "real_time_refresh": true, "required": false, @@ -690,7 +761,9 @@ "display_name": "Ingest Data", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "ingest_data", "placeholder": "", @@ -740,7 +813,11 @@ "dynamic": false, "info": "Optional distance metric for vector comparisons in the vector store.", "name": "metric", - "options": ["cosine", "dot_product", "euclidean"], + "options": [ + "cosine", + "dot_product", + "euclidean" + ], "placeholder": "", "required": false, "show": true, @@ -815,7 +892,9 @@ "display_name": "Search Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -869,7 +948,11 @@ "dynamic": false, "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.", "name": "setup_mode", - "options": ["Sync", "Async", "Off"], + "options": [ + "Sync", + "Async", + "Off" + ], "placeholder": "", "required": false, "show": true, @@ -883,7 +966,9 @@ "display_name": "Astra DB Application Token", "dynamic": false, "info": "Authentication token for accessing Astra DB.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "token", "password": true, @@ -919,7 +1004,9 @@ "display_name": "Parse Data", "id": "ParseData-f6Jhl", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -927,7 +1014,11 @@ "display_name": "Parse Data", "documentation": "", "edited": false, - "field_order": ["data", "template", "sep"], + "field_order": [ + "data", + "template", + "sep" + ], "frozen": false, "icon": "braces", "metadata": {}, @@ -939,7 +1030,9 @@ "method": "parse_data", "name": "text", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -969,7 +1062,9 @@ "display_name": "Data", "dynamic": false, "info": "The data to convert to text.", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": false, "name": "data", "placeholder": "", @@ -1002,7 +1097,9 @@ "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1041,17 +1138,24 @@ "display_name": "Prompt", "id": "Prompt-oJ8Eh", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": { - "template": ["context", "question"] + "template": [ + "context", + "question" + ] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, - "field_order": ["template"], + "field_order": [ + "template" + ], "frozen": false, "icon": "prompts", "metadata": {}, @@ -1063,7 +1167,9 @@ "method": "build_prompt", "name": "prompt", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1096,7 +1202,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1117,7 +1226,10 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": ["Message", "Text"], + "input_types": [ + "Message", + "Text" + ], "list": false, "load_from_db": false, "multiline": true, @@ -1171,7 +1283,9 @@ "display_name": "Chat Output", "id": "ChatOutput-oPZbw", "node": { - "base_classes": ["Message"], + "base_classes": [ + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1198,7 +1312,9 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" } ], @@ -1221,14 +1337,16 @@ "show": true, "title_case": false, "type": "code", - "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if (\n self.session_id\n and isinstance(message, Message)\n and isinstance(message.text, str)\n and self.should_store_message\n ):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n" + "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_NAME_AI, MESSAGE_SENDER_USER\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = self.store_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "data_template": { "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "data_template", @@ -1246,7 +1364,9 @@ "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -1265,7 +1385,10 @@ "dynamic": false, "info": "Type of sender.", "name": "sender", - "options": ["Machine", "User"], + "options": [ + "Machine", + "User" + ], "placeholder": "", "required": false, "show": true, @@ -1279,7 +1402,9 @@ "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "sender_name", @@ -1297,7 +1422,9 @@ "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "session_id", @@ -1350,7 +1477,9 @@ "display_name": "Split Text", "id": "SplitText-Kl7VQ", "node": { - "base_classes": ["Data"], + "base_classes": [ + "Data" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1375,7 +1504,9 @@ "method": "split_text", "name": "chunks", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" } ], @@ -1435,7 +1566,9 @@ "display_name": "Data Inputs", "dynamic": false, "info": "The data to split.", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "data_inputs", "placeholder": "", @@ -1451,7 +1584,9 @@ "display_name": "Separator", "dynamic": false, "info": "The character to split on. Defaults to newline.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "separator", @@ -1489,7 +1624,9 @@ "display_name": "File", "id": "File-JZzdd", "node": { - "base_classes": ["Data"], + "base_classes": [ + "Data" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1497,7 +1634,10 @@ "display_name": "File", "documentation": "", "edited": false, - "field_order": ["path", "silent_errors"], + "field_order": [ + "path", + "silent_errors" + ], "frozen": false, "icon": "file-text", "metadata": {}, @@ -1509,7 +1649,9 @@ "method": "load_file", "name": "data", "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" } ], @@ -1611,7 +1753,10 @@ "edited": false, "id": "AstraVectorStoreComponent-EUhWZ", "node": { - "base_classes": ["Data", "Retriever"], + "base_classes": [ + "Data", + "Retriever" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -1654,7 +1799,9 @@ "name": "base_retriever", "required_inputs": [], "selected": "Retriever", - "types": ["Retriever"], + "types": [ + "Retriever" + ], "value": "__UNDEFINED__" }, { @@ -1686,7 +1833,9 @@ "token" ], "selected": "Data", - "types": ["Data"], + "types": [ + "Data" + ], "value": "__UNDEFINED__" }, { @@ -1696,7 +1845,9 @@ "name": "vector_store", "required_inputs": [], "selected": "VectorStore", - "types": ["VectorStore"], + "types": [ + "VectorStore" + ], "value": "__UNDEFINED__" } ], @@ -1708,7 +1859,9 @@ "display_name": "API Endpoint", "dynamic": false, "info": "API endpoint URL for the Astra DB service.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_endpoint", "password": true, @@ -1834,7 +1987,9 @@ "display_name": "Embedding Model", "dynamic": false, "info": "Allows an embedding model configuration.", - "input_types": ["Embeddings"], + "input_types": [ + "Embeddings" + ], "list": false, "name": "embedding", "placeholder": "", @@ -1853,7 +2008,10 @@ "dynamic": false, "info": "Determines whether to use Astra Vectorize for the collection.", "name": "embedding_service", - "options": ["Embedding Model", "Astra Vectorize"], + "options": [ + "Embedding Model", + "Astra Vectorize" + ], "placeholder": "", "real_time_refresh": true, "required": false, @@ -1868,7 +2026,9 @@ "display_name": "Ingest Data", "dynamic": false, "info": "", - "input_types": ["Data"], + "input_types": [ + "Data" + ], "list": true, "name": "ingest_data", "placeholder": "", @@ -1918,7 +2078,11 @@ "dynamic": false, "info": "Optional distance metric for vector comparisons in the vector store.", "name": "metric", - "options": ["cosine", "dot_product", "euclidean"], + "options": [ + "cosine", + "dot_product", + "euclidean" + ], "placeholder": "", "required": false, "show": true, @@ -1993,7 +2157,9 @@ "display_name": "Search Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "multiline": true, @@ -2047,7 +2213,11 @@ "dynamic": false, "info": "Configuration mode for setting up the vector store, with options like 'Sync', 'Async', or 'Off'.", "name": "setup_mode", - "options": ["Sync", "Async", "Off"], + "options": [ + "Sync", + "Async", + "Off" + ], "placeholder": "", "required": false, "show": true, @@ -2061,7 +2231,9 @@ "display_name": "Astra DB Application Token", "dynamic": false, "info": "Authentication token for accessing Astra DB.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "token", "password": true, @@ -2097,7 +2269,9 @@ "display_name": "OpenAI Embeddings", "id": "OpenAIEmbeddings-Mf9md", "node": { - "base_classes": ["Embeddings"], + "base_classes": [ + "Embeddings" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2161,7 +2335,9 @@ "tiktoken_model_name" ], "selected": "Embeddings", - "types": ["Embeddings"], + "types": [ + "Embeddings" + ], "value": "__UNDEFINED__" } ], @@ -2188,7 +2364,9 @@ "display_name": "Client", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "client", @@ -2254,7 +2432,9 @@ "display_name": "Deployment", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "deployment", @@ -2351,7 +2531,9 @@ "display_name": "OpenAI API Base", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_base", "password": true, @@ -2367,7 +2549,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_key", "password": true, @@ -2383,7 +2567,9 @@ "display_name": "OpenAI API Type", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_type", "password": true, @@ -2399,7 +2585,9 @@ "display_name": "OpenAI API Version", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_api_version", @@ -2417,7 +2605,9 @@ "display_name": "OpenAI Organization", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_organization", @@ -2435,7 +2625,9 @@ "display_name": "OpenAI Proxy", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_proxy", @@ -2513,7 +2705,9 @@ "display_name": "TikToken Model Name", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "tiktoken_model_name", @@ -2551,7 +2745,9 @@ "display_name": "OpenAI Embeddings", "id": "OpenAIEmbeddings-q2lBh", "node": { - "base_classes": ["Embeddings"], + "base_classes": [ + "Embeddings" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -2615,7 +2811,9 @@ "tiktoken_model_name" ], "selected": "Embeddings", - "types": ["Embeddings"], + "types": [ + "Embeddings" + ], "value": "__UNDEFINED__" } ], @@ -2642,7 +2840,9 @@ "display_name": "Client", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "client", @@ -2708,7 +2908,9 @@ "display_name": "Deployment", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "deployment", @@ -2805,7 +3007,9 @@ "display_name": "OpenAI API Base", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_base", "password": true, @@ -2821,7 +3025,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_key", "password": true, @@ -2837,7 +3043,9 @@ "display_name": "OpenAI API Type", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "openai_api_type", "password": true, @@ -2853,7 +3061,9 @@ "display_name": "OpenAI API Version", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_api_version", @@ -2871,7 +3081,9 @@ "display_name": "OpenAI Organization", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_organization", @@ -2889,7 +3101,9 @@ "display_name": "OpenAI Proxy", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "openai_proxy", @@ -2967,7 +3181,9 @@ "display_name": "TikToken Model Name", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "tiktoken_model_name", @@ -3005,7 +3221,10 @@ "display_name": "OpenAI", "id": "OpenAIModel-3v8LQ", "node": { - "base_classes": ["LanguageModel", "Message"], + "base_classes": [ + "LanguageModel", + "Message" + ], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -3037,9 +3256,15 @@ "display_name": "Text", "method": "text_response", "name": "text_output", - "required_inputs": ["input_value", "stream", "system_message"], + "required_inputs": [ + "input_value", + "stream", + "system_message" + ], "selected": "Message", - "types": ["Message"], + "types": [ + "Message" + ], "value": "__UNDEFINED__" }, { @@ -3059,7 +3284,9 @@ "temperature" ], "selected": "LanguageModel", - "types": ["LanguageModel"], + "types": [ + "LanguageModel" + ], "value": "__UNDEFINED__" } ], @@ -3071,7 +3298,9 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "load_from_db": true, "name": "api_key", "password": true, @@ -3105,7 +3334,9 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "input_value", @@ -3209,7 +3440,9 @@ "display_name": "Output Parser", "dynamic": false, "info": "The parser to use to parse the output of the model", - "input_types": ["OutputParser"], + "input_types": [ + "OutputParser" + ], "list": false, "name": "output_parser", "placeholder": "", @@ -3270,7 +3503,9 @@ "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", - "input_types": ["Message"], + "input_types": [ + "Message" + ], "list": false, "load_from_db": false, "name": "system_message", diff --git a/src/backend/base/langflow/memory.py b/src/backend/base/langflow/memory.py index f9600128d6ab..72d81e16ccf2 100644 --- a/src/backend/base/langflow/memory.py +++ b/src/backend/base/langflow/memory.py @@ -36,7 +36,7 @@ def get_messages( List[Data]: A list of Data objects representing the retrieved messages. """ with session_scope() as session: - stmt = select(MessageTable) + stmt = select(MessageTable).where(MessageTable.error == False) # noqa: E712 if sender: stmt = stmt.where(MessageTable.sender == sender) if sender_name: @@ -142,7 +142,7 @@ def messages(self) -> list[BaseMessage]: messages = get_messages( session_id=self.session_id, ) - return [m.to_lc_message() for m in messages] + return [m.to_lc_message() for m in messages if not m.error] # Exclude error messages def add_messages(self, messages: Sequence[BaseMessage]) -> None: for lc_message in messages: diff --git a/src/backend/base/langflow/schema/message.py b/src/backend/base/langflow/schema/message.py index 52587b0c91cc..6d9e398adfe6 100644 --- a/src/backend/base/langflow/schema/message.py +++ b/src/backend/base/langflow/schema/message.py @@ -54,6 +54,8 @@ class Message(Data): default_factory=lambda: datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S") ) flow_id: str | UUID | None = None + error: bool = Field(default=False) + edit: bool = Field(default=False) @field_validator("flow_id", mode="before") @classmethod @@ -64,10 +66,14 @@ def validate_flow_id(cls, value): @field_serializer("flow_id") def serialize_flow_id(value): - if isinstance(value, str): - return UUID(value) + if isinstance(value, UUID): + return str(value) return value + @field_serializer("timestamp") + def serialize_timestamp(value): + return datetime.strptime(value, "%Y-%m-%d %H:%M:%S").astimezone(timezone.utc) + @field_validator("files", mode="before") @classmethod def validate_files(cls, value): @@ -154,6 +160,8 @@ def from_data(cls, data: Data) -> Message: session_id=data.session_id, timestamp=data.timestamp, flow_id=data.flow_id, + error=data.error, + edit=data.edit, ) @field_serializer("text", mode="plain") diff --git a/src/backend/base/langflow/services/database/models/message/crud.py b/src/backend/base/langflow/services/database/models/message/crud.py index 9b408da809b1..840d015ba528 100644 --- a/src/backend/base/langflow/services/database/models/message/crud.py +++ b/src/backend/base/langflow/services/database/models/message/crud.py @@ -4,7 +4,7 @@ from langflow.services.deps import session_scope -def update_message(message_id: UUID, message: MessageUpdate | dict): +def update_message(message_id: UUID | str, message: MessageUpdate | dict): if not isinstance(message, MessageUpdate): message = MessageUpdate(**message) with session_scope() as session: diff --git a/src/backend/base/langflow/services/database/models/message/model.py b/src/backend/base/langflow/services/database/models/message/model.py index 52237b985801..89d26bab65cb 100644 --- a/src/backend/base/langflow/services/database/models/message/model.py +++ b/src/backend/base/langflow/services/database/models/message/model.py @@ -18,6 +18,8 @@ class MessageBase(SQLModel): session_id: str text: str = Field(sa_column=Column(Text)) files: list[str] = Field(default_factory=list) + error: bool = Field(default=False) + edit: bool = Field(default=False) @field_validator("files", mode="before") @classmethod @@ -100,3 +102,5 @@ class MessageUpdate(SQLModel): sender_name: str | None = None session_id: str | None = None files: list[str] | None = None + edit: bool | None = None + error: bool | None = None diff --git a/src/frontend/src/components/renderIconComponent/index.tsx b/src/frontend/src/components/renderIconComponent/index.tsx index d64426b402bc..60ba498a7aa7 100644 --- a/src/frontend/src/components/renderIconComponent/index.tsx +++ b/src/frontend/src/components/renderIconComponent/index.tsx @@ -3,7 +3,7 @@ import { addPlusSignes, cn, sortShortcuts } from "@/utils/utils"; import RenderKey from "./components/renderKey"; export default function RenderIcons({ - filteredShortcut, + filteredShortcut = [], tableRender = false, }: { filteredShortcut: string[]; diff --git a/src/frontend/src/controllers/API/queries/messages/use-get-messages.ts b/src/frontend/src/controllers/API/queries/messages/use-get-messages.ts index 380d22ed71d6..c0be11627fd9 100644 --- a/src/frontend/src/controllers/API/queries/messages/use-get-messages.ts +++ b/src/frontend/src/controllers/API/queries/messages/use-get-messages.ts @@ -40,7 +40,6 @@ export const useGetMessagesQuery: useQueryFunctionType< const data = await getMessagesFn(id, params); const columns = extractColumnsFromRows(data.data, mode, excludedFields); useMessagesStore.getState().setMessages(data.data); - useMessagesStore.getState().setColumns(columns); return { rows: data, columns }; }; diff --git a/src/frontend/src/controllers/API/queries/messages/use-put-update-messages.ts b/src/frontend/src/controllers/API/queries/messages/use-put-update-messages.ts index 9f931e35a357..1ea24cda5197 100644 --- a/src/frontend/src/controllers/API/queries/messages/use-put-update-messages.ts +++ b/src/frontend/src/controllers/API/queries/messages/use-put-update-messages.ts @@ -1,3 +1,4 @@ +import useFlowsManagerStore from "@/stores/flowsManagerStore"; import { useMutationFunctionType } from "@/types/api"; import { Message } from "@/types/messages"; import { UseMutationResult } from "@tanstack/react-query"; @@ -6,28 +7,45 @@ import { getURL } from "../../helpers/constants"; import { UseRequestProcessor } from "../../services/request-processor"; interface UpdateMessageParams { - message: Message; + message: Partial; + refetch?: boolean; } export const useUpdateMessage: useMutationFunctionType< undefined, UpdateMessageParams > = (options?) => { - const { mutate } = UseRequestProcessor(); + const { mutate, queryClient } = UseRequestProcessor(); - const updateMessageApi = async (data: Message) => { - if (data.files && typeof data.files === "string") { - data.files = JSON.parse(data.files); + const updateMessageApi = async (data: UpdateMessageParams) => { + const message = data.message; + if (message.files && typeof message.files === "string") { + message.files = JSON.parse(message.files); } - const result = await api.put(`${getURL("MESSAGES")}/${data.id}`, data); + const result = await api.put( + `${getURL("MESSAGES")}/${message.id}`, + message, + ); return result.data; }; - const mutation: UseMutationResult< - UpdateMessageParams, - any, - UpdateMessageParams - > = mutate(["useUpdateMessages"], updateMessageApi, options); + const mutation: UseMutationResult = mutate( + ["useUpdateMessages"], + updateMessageApi, + { + ...options, + onSettled: (_, __, params, ___) => { + const flowId = useFlowsManagerStore.getState().currentFlowId; + //@ts-ignore + if (params?.refetch && flowId) { + queryClient.refetchQueries({ + queryKey: ["useGetMessagesQuery", { id: flowId }], + exact: true, + }); + } + }, + }, + ); return mutation; }; diff --git a/src/frontend/src/controllers/API/queries/messages/use-rename-session.ts b/src/frontend/src/controllers/API/queries/messages/use-rename-session.ts new file mode 100644 index 000000000000..51f088eda79b --- /dev/null +++ b/src/frontend/src/controllers/API/queries/messages/use-rename-session.ts @@ -0,0 +1,42 @@ +import { useMutationFunctionType } from "@/types/api"; +import { Message } from "@/types/messages"; +import { UseMutationResult } from "@tanstack/react-query"; +import { api } from "../../api"; +import { getURL } from "../../helpers/constants"; +import { UseRequestProcessor } from "../../services/request-processor"; + +interface UpdateSessionParams { + old_session_id: string; + new_session_id: string; +} + +export const useUpdateSessionName: useMutationFunctionType< + undefined, + UpdateSessionParams +> = (options?) => { + const { mutate, queryClient } = UseRequestProcessor(); + + const updateSessionApi = async (data: UpdateSessionParams) => { + const result = await api.patch( + `${getURL("MESSAGES")}/session/${data.old_session_id}`, + null, + { + params: { new_session_id: data.new_session_id }, + }, + ); + return result.data; + }; + + const mutation: UseMutationResult = + mutate(["useUpdateSessionName"], updateSessionApi, { + ...options, + onSettled: (data, variables, context) => { + // Invalidate and refetch relevant queries + queryClient.refetchQueries({ + queryKey: ["useGetMessagesQuery"], + }); + }, + }); + + return mutation; +}; diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/sessionSelector/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/sessionSelector/index.tsx new file mode 100644 index 000000000000..0e489737b4ec --- /dev/null +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/sessionSelector/index.tsx @@ -0,0 +1,214 @@ +import IconComponent from "@/components/genericIconComponent"; +import ShadTooltip from "@/components/shadTooltipComponent"; +import { Badge } from "@/components/ui/badge"; +import { Input } from "@/components/ui/input"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, +} from "@/components/ui/select-custom"; +import { useUpdateSessionName } from "@/controllers/API/queries/messages/use-rename-session"; +import useFlowStore from "@/stores/flowStore"; +import { cn } from "@/utils/utils"; +import React, { useEffect, useRef, useState } from "react"; + +export default function SessionSelector({ + deleteSession, + session, + toggleVisibility, + isVisible, + inspectSession, + updateVisibleSession, + selectedView, + setSelectedView, +}: { + deleteSession: (session: string) => void; + session: string; + toggleVisibility: () => void; + isVisible: boolean; + inspectSession: (session: string) => void; + updateVisibleSession: (session: string) => void; + selectedView?: { type: string; id: string }; + setSelectedView: (view: { type: string; id: string } | undefined) => void; +}) { + const currentFlowId = useFlowStore((state) => state.currentFlow?.id); + const [isEditing, setIsEditing] = useState(false); + const [editedSession, setEditedSession] = useState(session); + const { mutate: updateSessionName } = useUpdateSessionName(); + const inputRef = useRef(null); + + useEffect(() => { + setEditedSession(session); + }, [session]); + + const handleEditClick = (e?: React.MouseEvent) => { + e?.stopPropagation(); + setIsEditing(true); + }; + + const handleInputChange = (e: React.ChangeEvent) => { + setEditedSession(e.target.value); + }; + + const handleConfirm = () => { + setIsEditing(false); + if (editedSession.trim() !== session) { + updateSessionName( + { old_session_id: session, new_session_id: editedSession.trim() }, + { + onSuccess: () => { + if (isVisible) { + updateVisibleSession(editedSession); + } + if ( + selectedView?.type === "Session" && + selectedView?.id === session + ) { + setSelectedView({ type: "Session", id: editedSession }); + } + }, + }, + ); + } + }; + + const handleCancel = () => { + setIsEditing(false); + setEditedSession(session); + }; + + const handleSelectChange = (value: string) => { + switch (value) { + case "rename": + handleEditClick(); + break; + case "messageLogs": + inspectSession(session); + break; + case "delete": + deleteSession(session); + break; + } + }; + + return ( +
{ + if (isEditing) e.stopPropagation(); + else toggleVisibility(); + }} + className={cn( + "file-component-accordion-div group cursor-pointer rounded-md hover:bg-muted-foreground/30", + isVisible ? "bg-muted-foreground/15" : "", + )} + > +
+
+ {isEditing ? ( +
+ { + if (e.key === "Enter") { + e.preventDefault(); + e.stopPropagation(); + handleConfirm(); + } + }} + onChange={handleInputChange} + onBlur={(e) => { + console.log(e.relatedTarget); + if ( + !e.relatedTarget || + e.relatedTarget.getAttribute("data-confirm") !== "true" + ) { + handleCancel(); + } + }} + autoFocus + className="h-6 flex-grow px-1 py-0" + /> + + +
+ ) : ( + +
+ + {session === currentFlowId ? "Default Session" : session} + +
+ + )} +
+ +
+
+ ); +} diff --git a/src/frontend/src/modals/IOModal/components/SessionView/index.tsx b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx index 9dc3002828cb..e3212b690d8e 100644 --- a/src/frontend/src/modals/IOModal/components/SessionView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx @@ -10,7 +10,10 @@ import { useMemo, useState } from "react"; import TableComponent from "../../../../components/tableComponent"; import useAlertStore from "../../../../stores/alertStore"; import { useMessagesStore } from "../../../../stores/messagesStore"; -import { messagesSorter } from "../../../../utils/utils"; +import { + extractColumnsFromRows, + messagesSorter, +} from "../../../../utils/utils"; export default function SessionView({ session, @@ -19,12 +22,12 @@ export default function SessionView({ session?: string; id?: string; }) { - const columns = useMessagesStore((state) => state.columns); const messages = useMessagesStore((state) => state.messages); const setErrorData = useAlertStore((state) => state.setErrorData); const setSuccessData = useAlertStore((state) => state.setSuccessData); const updateMessage = useMessagesStore((state) => state.updateMessage); const deleteMessagesStore = useMessagesStore((state) => state.removeMessages); + const columns = extractColumnsFromRows(messages, "intersection"); const isFetching = useIsFetching({ queryKey: ["useGetMessagesQuery"], exact: false, @@ -56,22 +59,25 @@ export default function SessionView({ ...row, [field]: newValue, }; - updateMessageMutation(data, { - onSuccess: () => { - updateMessage(data); - // Set success message - setSuccessData({ - title: "Messages updated successfully.", - }); - }, - onError: () => { - setErrorData({ - title: "Error updating messages.", - }); - event.data[field] = event.oldValue; - event.api.refreshCells(); + updateMessageMutation( + { message: data }, + { + onSuccess: () => { + updateMessage(data); + // Set success message + setSuccessData({ + title: "Messages updated successfully.", + }); + }, + onError: () => { + setErrorData({ + title: "Error updating messages.", + }); + event.data[field] = event.oldValue; + event.api.refreshCells(); + }, }, - }); + ); } const filteredMessages = useMemo(() => { diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx index 8876c4517d4b..d91ef8bad42c 100644 --- a/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx +++ b/src/frontend/src/modals/IOModal/components/chatView/chatInput/components/uploadFileButton/index.tsx @@ -18,7 +18,7 @@ const UploadFileButton = ({ /> + ); +} diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/editMessageField/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/editMessageField/index.tsx new file mode 100644 index 000000000000..1b257668c906 --- /dev/null +++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/editMessageField/index.tsx @@ -0,0 +1,75 @@ +import { Button } from "@/components/ui/button"; +import { Textarea } from "@/components/ui/textarea"; +import { useEffect, useRef, useState } from "react"; + +export default function EditMessageField({ + message: initialMessage, + onEdit, + onCancel, +}: { + message: string; + onEdit: (message: string) => void; + onCancel: () => void; +}) { + const [message, setMessage] = useState(initialMessage); + const textareaRef = useRef(null); + const [isButtonClicked, setIsButtonClicked] = useState(false); + const adjustTextareaHeight = () => { + if (textareaRef.current) { + textareaRef.current.style.height = "auto"; + textareaRef.current.style.height = `${textareaRef.current.scrollHeight + 3}px`; + } + }; + useEffect(() => { + adjustTextareaHeight(); + }, []); + + return ( +
+