{ "id": "cb35184a-3446-4074-9ec7-8a935e980114", "data": { "edges": [ { "className": "", "data": { "sourceHandle": { "dataType": "ChatInput", "id": "ChatInput-KovKB", "name": "message", "output_types": ["Message"] }, "targetHandle": { "fieldName": "user_message", "id": "Prompt-Xz9bN", "inputTypes": ["Message", "Text"], "type": "str" } }, "id": "reactflow__edge-ChatInput-KovKB{œdataTypeœ:œChatInputœ,œidœ:œChatInput-KovKBœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-Xz9bN{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-Xz9bNœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}", "source": "ChatInput-KovKB", "sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-KovKBœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}", "target": "Prompt-Xz9bN", "targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-Xz9bNœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}" }, { "className": "", "data": { "sourceHandle": { "dataType": "Prompt", "id": "Prompt-Xz9bN", "name": "prompt", "output_types": ["Message"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-pqHDB", "inputTypes": ["Message"], "type": "str" } }, "id": "reactflow__edge-Prompt-Xz9bN{œdataTypeœ:œPromptœ,œidœ:œPrompt-Xz9bNœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-OpenAIModel-pqHDB{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-pqHDBœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "source": "Prompt-Xz9bN", "sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-Xz9bNœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}", "target": "OpenAIModel-pqHDB", "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-pqHDBœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}" }, { "className": "", "data": { "sourceHandle": { "dataType": "OpenAIModel", "id": "OpenAIModel-pqHDB", "name": "text_output", "output_types": ["Message"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-NasE4", "inputTypes": ["Message"], "type": "str" } }, "id": "reactflow__edge-OpenAIModel-pqHDB{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-pqHDBœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-NasE4{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-NasE4œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}", "source": "OpenAIModel-pqHDB", "sourceHandle": "{œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-pqHDBœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}", "target": "ChatOutput-NasE4", "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-NasE4œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}" }, { "className": "", "data": { "sourceHandle": { "dataType": "Memory", "id": "Memory-x4ENQ", "name": "messages_text", "output_types": ["Message"] }, "targetHandle": { "fieldName": "context", "id": "Prompt-Xz9bN", "inputTypes": ["Message", "Text"], "type": "str" } }, "id": "reactflow__edge-Memory-x4ENQ{œdataTypeœ:œMemoryœ,œidœ:œMemory-x4ENQœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-Xz9bN{œfieldNameœ:œcontextœ,œidœ:œPrompt-Xz9bNœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}", "source": "Memory-x4ENQ", "sourceHandle": "{œdataTypeœ:œMemoryœ,œidœ:œMemory-x4ENQœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}", "target": "Prompt-Xz9bN", "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-Xz9bNœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}" } ], "nodes": [ { "data": { "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "id": "Prompt-Xz9bN", "node": { "base_classes": ["Message"], "beta": false, "conditional_paths": [], "custom_fields": { "template": ["context", "user_message"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", "documentation": "", "edited": false, "field_order": ["template"], "frozen": false, "icon": "prompts", "output_types": [], "outputs": [ { "cache": true, "display_name": "Prompt Message", "method": "build_prompt", "name": "prompt", "selected": "Message", "types": ["Message"], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(\n self,\n ) -> Message:\n prompt = await Message.from_template_and_variables(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n def post_code_processing(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"\n This function is called after the code validation is done.\n \"\"\"\n frontend_node = super().post_code_processing(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n" }, "context": { "advanced": false, "display_name": "context", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": ["Message", "Text"], "list": false, "load_from_db": false, "multiline": true, "name": "context", "password": false, "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "template": { "advanced": false, "display_name": "Template", "dynamic": false, "info": "", "list": false, "load_from_db": false, "name": "template", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "type": "prompt", "value": "{context}\n\nUser: {user_message}\nAI: " }, "user_message": { "advanced": false, "display_name": "user_message", "dynamic": false, "field_type": "str", "fileTypes": [], "file_path": "", "info": "", "input_types": ["Message", "Text"], "list": false, "load_from_db": false, "multiline": true, "name": "user_message", "password": false, "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" } } }, "type": "Prompt" }, "dragging": false, "height": 517, "id": "Prompt-Xz9bN", "position": { "x": 1880.8227904110583, "y": 625.8049209882275 }, "positionAbsolute": { "x": 1880.8227904110583, "y": 625.8049209882275 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "id": "ChatInput-KovKB", "node": { "base_classes": ["Message"], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "documentation": "", "edited": false, "field_order": [ "input_value", "store_message", "sender", "sender_name", "session_id", "files" ], "frozen": false, "icon": "ChatInput", "output_types": [], "outputs": [ { "cache": true, "display_name": "Message", "method": "message_response", "name": "message", "selected": "Message", "types": ["Message"], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from 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_USER, MESSAGE_SENDER_NAME_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" }, "files": { "advanced": true, "display_name": "Files", "dynamic": false, "fileTypes": [ "txt", "md", "mdx", "csv", "json", "yaml", "yml", "xml", "html", "htm", "pdf", "docx", "py", "sh", "sql", "js", "ts", "tsx", "jpg", "jpeg", "png", "bmp", "image" ], "file_path": "", "info": "Files to be sent with the message.", "list": true, "name": "files", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "file", "value": "" }, "input_value": { "advanced": false, "display_name": "Text", "dynamic": false, "info": "Message to be passed as input.", "input_types": ["Message"], "list": false, "load_from_db": false, "multiline": true, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "sender": { "advanced": true, "display_name": "Sender Type", "dynamic": false, "info": "Type of sender.", "name": "sender", "options": ["Machine", "User"], "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "User" }, "sender_name": { "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "User" }, "session_id": { "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "session_id", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "name": "should_store_message", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": true } } }, "type": "ChatInput" }, "dragging": false, "height": 309, "id": "ChatInput-KovKB", "position": { "x": 1275.9262193671882, "y": 836.1228056896347 }, "positionAbsolute": { "x": 1275.9262193671882, "y": 836.1228056896347 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Generates text using OpenAI LLMs.", "display_name": "OpenAI", "id": "OpenAIModel-pqHDB", "node": { "base_classes": ["LanguageModel", "Message"], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Generates text using OpenAI LLMs.", "display_name": "OpenAI", "documentation": "", "edited": false, "field_order": [ "input_value", "max_tokens", "model_kwargs", "json_mode", "output_schema", "model_name", "openai_api_base", "openai_api_key", "temperature", "stream", "system_message", "seed" ], "frozen": false, "icon": "OpenAI", "output_types": [], "outputs": [ { "cache": true, "display_name": "Text", "method": "text_response", "name": "text_output", "selected": "Message", "types": ["Message"], "value": "__UNDEFINED__" }, { "cache": true, "display_name": "Language Model", "method": "build_model", "name": "model_output", "selected": "LanguageModel", "types": ["LanguageModel"], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "api_key": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", "input_types": ["Message"], "load_from_db": true, "name": "api_key", "password": true, "placeholder": "", "required": false, "show": true, "title_case": false, "type": "str", "value": "" }, "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "import operator\nfrom functools import reduce\n\nfrom langflow.field_typing.range_spec import RangeSpec\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import OPENAI_MODEL_NAMES\nfrom langflow.field_typing import LanguageModel\nfrom langflow.inputs import (\n BoolInput,\n DictInput,\n DropdownInput,\n FloatInput,\n IntInput,\n SecretStrInput,\n StrInput,\n)\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n name = \"OpenAIModel\"\n\n inputs = LCModelComponent._base_inputs + [\n IntInput(\n name=\"max_tokens\",\n display_name=\"Max Tokens\",\n advanced=True,\n info=\"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n range_spec=RangeSpec(min=0, max=128000),\n ),\n DictInput(name=\"model_kwargs\", display_name=\"Model Kwargs\", advanced=True),\n BoolInput(\n name=\"json_mode\",\n display_name=\"JSON Mode\",\n advanced=True,\n info=\"If True, it will output JSON regardless of passing a schema.\",\n ),\n DictInput(\n name=\"output_schema\",\n is_list=True,\n display_name=\"Schema\",\n advanced=True,\n info=\"The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.\",\n ),\n DropdownInput(\n name=\"model_name\",\n display_name=\"Model Name\",\n advanced=False,\n options=OPENAI_MODEL_NAMES,\n value=OPENAI_MODEL_NAMES[0],\n ),\n StrInput(\n name=\"openai_api_base\",\n display_name=\"OpenAI API Base\",\n advanced=True,\n info=\"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.\",\n ),\n SecretStrInput(\n name=\"api_key\",\n display_name=\"OpenAI API Key\",\n info=\"The OpenAI API Key to use for the OpenAI model.\",\n advanced=False,\n value=\"OPENAI_API_KEY\",\n ),\n FloatInput(name=\"temperature\", display_name=\"Temperature\", value=0.1),\n IntInput(\n name=\"seed\",\n display_name=\"Seed\",\n info=\"The seed controls the reproducibility of the job.\",\n advanced=True,\n value=1,\n ),\n ]\n\n def build_model(self) -> LanguageModel: # type: ignore[type-var]\n # self.output_schema is a list of dictionaries\n # let's convert it to a dictionary\n output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})\n openai_api_key = self.api_key\n temperature = self.temperature\n model_name: str = self.model_name\n max_tokens = self.max_tokens\n model_kwargs = self.model_kwargs or {}\n openai_api_base = self.openai_api_base or \"https://api.openai.com/v1\"\n json_mode = bool(output_schema_dict) or self.json_mode\n seed = self.seed\n\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature or 0.1,\n seed=seed,\n )\n if json_mode:\n if output_schema_dict:\n output = output.with_structured_output(schema=output_schema_dict, method=\"json_mode\") # type: ignore\n else:\n output = output.bind(response_format={\"type\": \"json_object\"}) # type: ignore\n\n return output # type: ignore\n\n def _get_exception_message(self, e: Exception):\n \"\"\"\n Get a message from an OpenAI exception.\n\n Args:\n exception (Exception): The exception to get the message from.\n\n Returns:\n str: The message from the exception.\n \"\"\"\n\n try:\n from openai import BadRequestError\n except ImportError:\n return\n if isinstance(e, BadRequestError):\n message = e.body.get(\"message\") # type: ignore\n if message:\n return message\n return\n" }, "input_value": { "advanced": false, "display_name": "Input", "dynamic": false, "info": "", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "json_mode": { "advanced": true, "display_name": "JSON Mode", "dynamic": false, "info": "If True, it will output JSON regardless of passing a schema.", "list": false, "name": "json_mode", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": false }, "max_tokens": { "advanced": true, "display_name": "Max Tokens", "dynamic": false, "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", "list": false, "name": "max_tokens", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "int", "value": "" }, "model_kwargs": { "advanced": true, "display_name": "Model Kwargs", "dynamic": false, "info": "", "list": false, "name": "model_kwargs", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "type": "dict", "value": {} }, "model_name": { "advanced": false, "display_name": "Model Name", "dynamic": false, "info": "", "name": "model_name", "options": [ "gpt-4o-mini", "gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-4", "gpt-3.5-turbo", "gpt-3.5-turbo-0125" ], "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "gpt-4o" }, "openai_api_base": { "advanced": true, "display_name": "OpenAI API Base", "dynamic": false, "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.", "list": false, "load_from_db": false, "name": "openai_api_base", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "" }, "output_schema": { "advanced": true, "display_name": "Schema", "dynamic": false, "info": "The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.", "list": true, "name": "output_schema", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "type": "dict", "value": {} }, "seed": { "advanced": true, "display_name": "Seed", "dynamic": false, "info": "The seed controls the reproducibility of the job.", "list": false, "name": "seed", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "int", "value": 1 }, "stream": { "advanced": true, "display_name": "Stream", "dynamic": false, "info": "Stream the response from the model. Streaming works only in Chat.", "list": false, "name": "stream", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": false }, "system_message": { "advanced": true, "display_name": "System Message", "dynamic": false, "info": "System message to pass to the model.", "list": false, "load_from_db": false, "name": "system_message", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "" }, "temperature": { "advanced": false, "display_name": "Temperature", "dynamic": false, "info": "", "list": false, "name": "temperature", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "float", "value": 0.1 } } }, "type": "OpenAIModel" }, "dragging": false, "height": 623, "id": "OpenAIModel-pqHDB", "position": { "x": 2468.968379487559, "y": 560.0689522326683 }, "positionAbsolute": { "x": 2468.968379487559, "y": 560.0689522326683 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "id": "ChatOutput-NasE4", "node": { "base_classes": ["Message"], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "documentation": "", "edited": false, "field_order": [ "input_value", "store_message", "sender", "sender_name", "session_id", "data_template" ], "frozen": false, "icon": "ChatOutput", "output_types": [], "outputs": [ { "cache": true, "display_name": "Message", "method": "message_response", "name": "message", "selected": "Message", "types": ["Message"], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from 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_NAME_AI, MESSAGE_SENDER_USER, MESSAGE_SENDER_AI\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" }, "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"], "list": false, "load_from_db": false, "name": "data_template", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "{text}" }, "input_value": { "advanced": false, "display_name": "Text", "dynamic": false, "info": "Message to be passed as output.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "input_value", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "sender": { "advanced": true, "display_name": "Sender Type", "dynamic": false, "info": "Type of sender.", "name": "sender", "options": ["Machine", "User"], "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "Machine" }, "sender_name": { "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "AI" }, "session_id": { "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "session_id", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "name": "should_store_message", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "bool", "value": true } } }, "type": "ChatOutput" }, "height": 385, "id": "ChatOutput-NasE4", "position": { "x": 3083.1710516244116, "y": 701.521688846004 }, "selected": false, "type": "genericNode", "width": 384 }, { "data": { "description": "Retrieves stored chat messages from Langflow tables or an external memory.", "display_name": "Chat Memory", "id": "Memory-x4ENQ", "node": { "base_classes": ["BaseChatMemory", "Data", "Message"], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Retrieves stored chat messages from Langflow tables or an external memory.", "display_name": "Chat Memory", "documentation": "", "edited": false, "field_order": [ "memory", "sender", "sender_name", "n_messages", "session_id", "order", "template" ], "frozen": false, "icon": "message-square-more", "output_types": [], "outputs": [ { "cache": true, "display_name": "Messages (Data)", "method": "retrieve_messages", "name": "messages", "selected": "Data", "types": ["Data"], "value": "__UNDEFINED__" }, { "cache": true, "display_name": "Messages (Text)", "method": "retrieve_messages_as_text", "name": "messages_text", "selected": "Message", "types": ["Message"], "value": "__UNDEFINED__" }, { "cache": true, "display_name": "Memory", "method": "build_lc_memory", "name": "lc_memory", "selected": "BaseChatMemory", "types": ["BaseChatMemory"], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from langchain.memory import ConversationBufferMemory\n\nfrom langflow.custom import Component\nfrom langflow.field_typing import BaseChatMemory\nfrom langflow.helpers.data import data_to_text\nfrom langflow.inputs import HandleInput\nfrom langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import LCBuiltinChatMemory, get_messages\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import MESSAGE_SENDER_AI, MESSAGE_SENDER_USER\n\n\nclass MemoryComponent(Component):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages from Langflow tables or an external memory.\"\n icon = \"message-square-more\"\n name = \"Memory\"\n\n inputs = [\n HandleInput(\n name=\"memory\",\n display_name=\"External Memory\",\n input_types=[\"BaseChatMessageHistory\"],\n info=\"Retrieve messages from an external memory. If empty, it will use the Langflow tables.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER, \"Machine and User\"],\n value=\"Machine and User\",\n info=\"Filter by sender type.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Filter by sender name.\",\n advanced=True,\n ),\n IntInput(\n name=\"n_messages\",\n display_name=\"Number of Messages\",\n value=100,\n info=\"Number of messages to retrieve.\",\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 DropdownInput(\n name=\"order\",\n display_name=\"Order\",\n options=[\"Ascending\", \"Descending\"],\n value=\"Ascending\",\n info=\"Order of the messages.\",\n advanced=True,\n ),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.\",\n value=\"{sender_name}: {text}\",\n advanced=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Messages (Data)\", name=\"messages\", method=\"retrieve_messages\"),\n Output(display_name=\"Messages (Text)\", name=\"messages_text\", method=\"retrieve_messages_as_text\"),\n Output(display_name=\"Memory\", name=\"lc_memory\", method=\"build_lc_memory\"),\n ]\n\n def retrieve_messages(self) -> Data:\n sender = self.sender\n sender_name = self.sender_name\n session_id = self.session_id\n n_messages = self.n_messages\n order = \"DESC\" if self.order == \"Descending\" else \"ASC\"\n\n if sender == \"Machine and User\":\n sender = None\n\n if self.memory:\n # override session_id\n self.memory.session_id = session_id\n\n stored = self.memory.messages\n # langchain memories are supposed to return messages in ascending order\n if order == \"DESC\":\n stored = stored[::-1]\n if n_messages:\n stored = stored[:n_messages]\n stored = [Message.from_lc_message(m) for m in stored]\n if sender:\n expected_type = MESSAGE_SENDER_AI if sender == MESSAGE_SENDER_AI else MESSAGE_SENDER_USER\n stored = [m for m in stored if m.type == expected_type]\n else:\n stored = get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n self.status = stored\n return stored\n\n def retrieve_messages_as_text(self) -> Message:\n stored_text = data_to_text(self.template, self.retrieve_messages())\n self.status = stored_text\n return Message(text=stored_text)\n\n def build_lc_memory(self) -> BaseChatMemory:\n if self.memory:\n chat_memory = self.memory\n else:\n chat_memory = LCBuiltinChatMemory(flow_id=self.flow_id, session_id=self.session_id)\n return ConversationBufferMemory(chat_memory=chat_memory)\n" }, "memory": { "advanced": false, "display_name": "External Memory", "dynamic": false, "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", "input_types": ["BaseChatMessageHistory"], "list": false, "name": "memory", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "other", "value": "" }, "n_messages": { "advanced": true, "display_name": "Number of Messages", "dynamic": false, "info": "Number of messages to retrieve.", "list": false, "name": "n_messages", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "int", "value": 100 }, "order": { "advanced": true, "display_name": "Order", "dynamic": false, "info": "Order of the messages.", "name": "order", "options": ["Ascending", "Descending"], "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "Ascending" }, "sender": { "advanced": true, "display_name": "Sender Type", "dynamic": false, "info": "Filter by sender type.", "name": "sender", "options": ["Machine", "User", "Machine and User"], "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "type": "str", "value": "Machine and User" }, "sender_name": { "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Filter by sender name.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "sender_name", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "session_id": { "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": ["Message"], "list": false, "load_from_db": false, "name": "session_id", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "" }, "template": { "advanced": true, "display_name": "Template", "dynamic": false, "info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.", "input_types": ["Message"], "list": false, "load_from_db": false, "multiline": true, "name": "template", "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_input": true, "trace_as_metadata": true, "type": "str", "value": "{sender_name}: {text}" } } }, "type": "Memory" }, "dragging": false, "height": 387, "id": "Memory-x4ENQ", "position": { "x": 1301.98330242754, "y": 422.33865605652574 }, "positionAbsolute": { "x": 1301.98330242754, "y": 422.33865605652574 }, "selected": false, "type": "genericNode", "width": 384 } ], "viewport": { "x": -377.45799796990354, "y": 18.161555190942522, "zoom": 0.45494095964690673 } }, "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.", "name": "Memory Chatbot (1)", "last_tested_version": "1.0.15", "endpoint_name": null, "is_component": false }