| { |
| "id": "66747dc4-fc29-491b-833a-5d5d031d680f", |
| "data": { |
| "nodes": [ |
| { |
| "id": "ChatInput-2x8vF", |
| "type": "genericNode", |
| "position": { |
| "x": 250, |
| "y": 453 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "files": { |
| "trace_as_metadata": true, |
| "file_path": "", |
| "fileTypes": [ |
| "txt", |
| "md", |
| "mdx", |
| "csv", |
| "json", |
| "yaml", |
| "yml", |
| "xml", |
| "html", |
| "htm", |
| "pdf", |
| "docx", |
| "py", |
| "sh", |
| "sql", |
| "js", |
| "ts", |
| "tsx", |
| "jpg", |
| "jpeg", |
| "png", |
| "bmp", |
| "image" |
| ], |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "files", |
| "value": "", |
| "display_name": "Files", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Files to be sent with the message.", |
| "title_case": false, |
| "type": "file", |
| "_input_type": "FileInput" |
| }, |
| "background_color": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "background_color", |
| "value": "", |
| "display_name": "Background Color", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The background color of the icon.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "chat_icon": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "chat_icon", |
| "value": "", |
| "display_name": "Icon", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The icon of the message.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "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 (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom langflow.schema.message import Message\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n 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 MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n background_color = self.background_color\n text_color = self.text_color\n icon = self.chat_icon\n\n message = await Message.create(\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 properties={\n \"background_color\": background_color,\n \"text_color\": text_color,\n \"icon\": icon,\n },\n )\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false |
| }, |
| "input_value": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Text", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "Message to be passed as input.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Type of sender.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "User", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Name of the sender.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "should_store_message": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "should_store_message", |
| "value": true, |
| "display_name": "Store Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Store the message in the history.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput" |
| }, |
| "text_color": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "text_color", |
| "value": "", |
| "display_name": "Text Color", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The text color of the name", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| } |
| }, |
| "description": "Get chat inputs from the Playground.", |
| "icon": "MessagesSquare", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Chat Input", |
| "documentation": "", |
| "minimized": true, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "message", |
| "display_name": "Message", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "input_value", |
| "should_store_message", |
| "sender", |
| "sender_name", |
| "session_id", |
| "files", |
| "background_color", |
| "chat_icon", |
| "text_color" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": false, |
| "type": "ChatInput", |
| "id": "ChatInput-2x8vF" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 192, |
| "height": 66 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "Prompt-CLQNW", |
| "type": "genericNode", |
| "position": { |
| "x": 417, |
| "y": 114 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "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 MessageTextInput, 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 MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n tool_mode=True,\n advanced=True,\n info=\"A placeholder input for tool mode.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(self) -> Message:\n prompt = Message.from_template(**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 async def update_frontend_node(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"This function is called after the code validation is done.\"\"\"\n frontend_node = await super().update_frontend_node(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", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "Generate the learning objectives for the topic that will be given by the user. Imagine that is for K-12 education.", |
| "display_name": "Template", |
| "advanced": false, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "prompt", |
| "_input_type": "PromptInput" |
| }, |
| "tool_placeholder": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_placeholder", |
| "value": "", |
| "display_name": "Tool Placeholder", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "A placeholder input for tool mode.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| } |
| }, |
| "description": "Create a prompt template with dynamic variables.", |
| "icon": "prompts", |
| "is_input": null, |
| "is_output": null, |
| "is_composition": null, |
| "base_classes": [ |
| "Message" |
| ], |
| "name": "", |
| "display_name": "Prompt", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": { |
| "template": [] |
| }, |
| "output_types": [], |
| "full_path": null, |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "prompt", |
| "hidden": null, |
| "display_name": "Prompt Message", |
| "method": "build_prompt", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "template", |
| "tool_placeholder" |
| ], |
| "beta": false, |
| "legacy": false, |
| "error": null, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Prompt", |
| "id": "Prompt-CLQNW" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 255 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "Agent-6ilGB", |
| "type": "genericNode", |
| "position": { |
| "x": 856, |
| "y": 104 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "memory": { |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "memory", |
| "value": "", |
| "display_name": "External Memory", |
| "advanced": true, |
| "input_types": [ |
| "Memory" |
| ], |
| "dynamic": false, |
| "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "tools": { |
| "trace_as_metadata": true, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tools", |
| "value": "", |
| "display_name": "Tools", |
| "advanced": false, |
| "input_types": [ |
| "Tool" |
| ], |
| "dynamic": false, |
| "info": "These are the tools that the agent can use to help with tasks.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "add_current_date_tool": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "add_current_date_tool", |
| "value": true, |
| "display_name": "Current Date", |
| "advanced": true, |
| "dynamic": false, |
| "info": "If true, will add a tool to the agent that returns the current date.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "agent_description": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_description", |
| "value": "A helpful assistant with access to the following tools:", |
| "display_name": "Agent Description [Deprecated]", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "agent_llm": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Amazon Bedrock", |
| "Anthropic", |
| "Azure OpenAI", |
| "Google Generative AI", |
| "Groq", |
| "NVIDIA", |
| "OpenAI", |
| "Custom" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_llm", |
| "value": "Google Generative AI", |
| "display_name": "Model Provider", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "The provider of the language model that the agent will use to generate responses.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n except Exception as e:\n # Log the error for debugging purposes\n logger.error(f\"Error retrieving language model: {e}\")\n raise\n\n try:\n self.chat_history = await self.get_memory_data()\n except Exception as e:\n logger.error(f\"Error retrieving chat history: {e}\")\n raise\n\n if self.add_current_date_tool:\n try:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n # Convert CurrentDateComponent to a StructuredTool\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if isinstance(current_date_tool, StructuredTool):\n self.tools.append(current_date_tool)\n else:\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n except Exception as e:\n logger.error(f\"Error adding current date tool: {e}\")\n raise\n\n if not self.tools:\n msg = \"Tools are required to run the agent.\"\n logger.error(msg)\n raise ValueError(msg)\n\n try:\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n except Exception as e:\n logger.error(f\"Error setting up the agent: {e}\")\n raise\n\n return await self.run_agent(agent)\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if isinstance(self.agent_llm, str):\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n return (\n self._build_llm_model(component_class, inputs, prefix),\n display_name,\n )\n except Exception as e:\n msg = f\"Error building {self.agent_llm} language model\"\n raise ValueError(msg) from e\n return self.agent_llm, None\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "input_types": [] |
| }, |
| "handle_parsing_errors": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "handle_parsing_errors", |
| "value": true, |
| "display_name": "Handle Parse Errors", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Should the Agent fix errors when reading user input for better processing?", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "input_value": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Input", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The input provided by the user for the agent to process.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "max_iterations": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_iterations", |
| "value": 15, |
| "display_name": "Max Iterations", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum number of attempts the agent can make to complete its task before it stops.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "n_messages": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n_messages", |
| "value": 100, |
| "display_name": "Number of Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of messages to retrieve.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "order": { |
| "tool_mode": true, |
| "trace_as_metadata": true, |
| "options": [ |
| "Ascending", |
| "Descending" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "order", |
| "value": "Ascending", |
| "display_name": "Order", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Order of the messages.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User", |
| "Machine and User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine and User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Filter by sender type.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Filter by sender name.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "system_prompt": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "system_prompt", |
| "value": "You are a helpful assistant that can use tools to answer questions and perform tasks.", |
| "display_name": "Agent Instructions", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "{sender_name}: {text}", |
| "display_name": "Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "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.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "verbose": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "verbose", |
| "value": true, |
| "display_name": "Verbose", |
| "advanced": true, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "max_output_tokens": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_output_tokens", |
| "value": "", |
| "display_name": "Max Output Tokens", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The maximum number of tokens to generate.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "model_name": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "learnlm-1.5-pro-experimental", |
| "gemini-pro-vision", |
| "gemini-pro", |
| "gemini-exp-1206", |
| "gemini-2.0-pro-exp-02-05", |
| "gemini-2.0-pro-exp", |
| "gemini-2.0-flash-thinking-exp-1219", |
| "gemini-2.0-flash-thinking-exp-01-21", |
| "gemini-2.0-flash-thinking-exp", |
| "gemini-2.0-flash-lite-preview-02-05", |
| "gemini-2.0-flash-lite-preview", |
| "gemini-2.0-flash-exp", |
| "gemini-2.0-flash-001", |
| "gemini-2.0-flash", |
| "gemini-1.5-pro-latest", |
| "gemini-1.5-pro-002", |
| "gemini-1.5-pro-001", |
| "gemini-1.5-pro", |
| "gemini-1.5-flash-latest", |
| "gemini-1.5-flash-8b-latest", |
| "gemini-1.5-flash-8b-exp-0924", |
| "gemini-1.5-flash-8b-exp-0827", |
| "gemini-1.5-flash-8b-001", |
| "gemini-1.5-flash-8b", |
| "gemini-1.5-flash-002", |
| "gemini-1.5-flash-001-tuning", |
| "gemini-1.5-flash-001", |
| "gemini-1.5-flash", |
| "gemini-1.0-pro-vision-latest", |
| "gemini-1.0-pro-latest", |
| "gemini-1.0-pro-001", |
| "gemini-1.0-pro" |
| ], |
| "options_metadata": [], |
| "combobox": true, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "model_name", |
| "value": "gemini-2.0-flash", |
| "display_name": "Model", |
| "advanced": false, |
| "dynamic": false, |
| "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", |
| "real_time_refresh": false, |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Google API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The Google API Key to use for the Google Generative AI.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "top_p": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_p", |
| "value": "", |
| "display_name": "Top P", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum cumulative probability of tokens to consider when sampling.", |
| "title_case": false, |
| "type": "float", |
| "_input_type": "FloatInput", |
| "input_types": [] |
| }, |
| "temperature": { |
| "tool_mode": false, |
| "min_label": "", |
| "max_label": "", |
| "min_label_icon": "", |
| "max_label_icon": "", |
| "slider_buttons": false, |
| "slider_buttons_options": [], |
| "slider_input": false, |
| "range_spec": { |
| "step_type": "float", |
| "min": 0, |
| "max": 2, |
| "step": 0.01 |
| }, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "temperature", |
| "value": 0.1, |
| "display_name": "Temperature", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Controls randomness. Lower values are more deterministic, higher values are more creative.", |
| "title_case": false, |
| "type": "slider", |
| "_input_type": "SliderInput", |
| "input_types": [] |
| }, |
| "n": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n", |
| "value": "", |
| "display_name": "N", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "top_k": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_k", |
| "value": "", |
| "display_name": "Top K", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "tool_model_enabled": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_model_enabled", |
| "value": false, |
| "display_name": "Tool Model Enabled", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Whether to use the tool model.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| } |
| }, |
| "description": "Define the agent's instructions, then enter a task to complete using tools.", |
| "icon": "bot", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Objectives Agent", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "response", |
| "hidden": null, |
| "display_name": "Response", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "agent_llm", |
| "max_tokens", |
| "model_kwargs", |
| "json_mode", |
| "model_name", |
| "openai_api_base", |
| "api_key", |
| "temperature", |
| "seed", |
| "system_prompt", |
| "tools", |
| "input_value", |
| "handle_parsing_errors", |
| "verbose", |
| "max_iterations", |
| "agent_description", |
| "memory", |
| "sender", |
| "sender_name", |
| "n_messages", |
| "session_id", |
| "order", |
| "template", |
| "add_current_date_tool" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Agent", |
| "id": "Agent-6ilGB" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 703 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "Agent-e7sUF", |
| "type": "genericNode", |
| "position": { |
| "x": 1365, |
| "y": 105 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "memory": { |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "memory", |
| "value": "", |
| "display_name": "External Memory", |
| "advanced": true, |
| "input_types": [ |
| "Memory" |
| ], |
| "dynamic": false, |
| "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "tools": { |
| "trace_as_metadata": true, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tools", |
| "value": "", |
| "display_name": "Tools", |
| "advanced": false, |
| "input_types": [ |
| "Tool" |
| ], |
| "dynamic": false, |
| "info": "These are the tools that the agent can use to help with tasks.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "add_current_date_tool": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "add_current_date_tool", |
| "value": true, |
| "display_name": "Current Date", |
| "advanced": true, |
| "dynamic": false, |
| "info": "If true, will add a tool to the agent that returns the current date.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "agent_description": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_description", |
| "value": "A helpful assistant with access to the following tools:", |
| "display_name": "Agent Description [Deprecated]", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "agent_llm": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Amazon Bedrock", |
| "Anthropic", |
| "Azure OpenAI", |
| "Google Generative AI", |
| "Groq", |
| "NVIDIA", |
| "OpenAI", |
| "Custom" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_llm", |
| "value": "Google Generative AI", |
| "display_name": "Model Provider", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "The provider of the language model that the agent will use to generate responses.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n except Exception as e:\n # Log the error for debugging purposes\n logger.error(f\"Error retrieving language model: {e}\")\n raise\n\n try:\n self.chat_history = await self.get_memory_data()\n except Exception as e:\n logger.error(f\"Error retrieving chat history: {e}\")\n raise\n\n if self.add_current_date_tool:\n try:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n # Convert CurrentDateComponent to a StructuredTool\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if isinstance(current_date_tool, StructuredTool):\n self.tools.append(current_date_tool)\n else:\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n except Exception as e:\n logger.error(f\"Error adding current date tool: {e}\")\n raise\n\n if not self.tools:\n msg = \"Tools are required to run the agent.\"\n logger.error(msg)\n raise ValueError(msg)\n\n try:\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n except Exception as e:\n logger.error(f\"Error setting up the agent: {e}\")\n raise\n\n return await self.run_agent(agent)\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if isinstance(self.agent_llm, str):\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n return (\n self._build_llm_model(component_class, inputs, prefix),\n display_name,\n )\n except Exception as e:\n msg = f\"Error building {self.agent_llm} language model\"\n raise ValueError(msg) from e\n return self.agent_llm, None\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "input_types": [] |
| }, |
| "handle_parsing_errors": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "handle_parsing_errors", |
| "value": true, |
| "display_name": "Handle Parse Errors", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Should the Agent fix errors when reading user input for better processing?", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "input_value": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Input", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The input provided by the user for the agent to process.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "max_iterations": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_iterations", |
| "value": 15, |
| "display_name": "Max Iterations", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum number of attempts the agent can make to complete its task before it stops.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "n_messages": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n_messages", |
| "value": 100, |
| "display_name": "Number of Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of messages to retrieve.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "order": { |
| "tool_mode": true, |
| "trace_as_metadata": true, |
| "options": [ |
| "Ascending", |
| "Descending" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "order", |
| "value": "Ascending", |
| "display_name": "Order", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Order of the messages.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User", |
| "Machine and User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine and User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Filter by sender type.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Filter by sender name.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "system_prompt": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "system_prompt", |
| "value": "Based on the learning objectives created by the previous agent, generate a basic lesson plan. If it is too extensive, divide it into several days. For lenght considerations, think about 1 hour class per day.", |
| "display_name": "Agent Instructions", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "{sender_name}: {text}", |
| "display_name": "Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "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.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "verbose": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "verbose", |
| "value": true, |
| "display_name": "Verbose", |
| "advanced": true, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "max_output_tokens": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_output_tokens", |
| "value": "", |
| "display_name": "Max Output Tokens", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The maximum number of tokens to generate.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "model_name": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "learnlm-1.5-pro-experimental", |
| "gemini-pro-vision", |
| "gemini-pro", |
| "gemini-exp-1206", |
| "gemini-2.0-pro-exp-02-05", |
| "gemini-2.0-pro-exp", |
| "gemini-2.0-flash-thinking-exp-1219", |
| "gemini-2.0-flash-thinking-exp-01-21", |
| "gemini-2.0-flash-thinking-exp", |
| "gemini-2.0-flash-lite-preview-02-05", |
| "gemini-2.0-flash-lite-preview", |
| "gemini-2.0-flash-exp", |
| "gemini-2.0-flash-001", |
| "gemini-2.0-flash", |
| "gemini-1.5-pro-latest", |
| "gemini-1.5-pro-002", |
| "gemini-1.5-pro-001", |
| "gemini-1.5-pro", |
| "gemini-1.5-flash-latest", |
| "gemini-1.5-flash-8b-latest", |
| "gemini-1.5-flash-8b-exp-0924", |
| "gemini-1.5-flash-8b-exp-0827", |
| "gemini-1.5-flash-8b-001", |
| "gemini-1.5-flash-8b", |
| "gemini-1.5-flash-002", |
| "gemini-1.5-flash-001-tuning", |
| "gemini-1.5-flash-001", |
| "gemini-1.5-flash", |
| "gemini-1.0-pro-vision-latest", |
| "gemini-1.0-pro-latest", |
| "gemini-1.0-pro-001", |
| "gemini-1.0-pro" |
| ], |
| "options_metadata": [], |
| "combobox": true, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "model_name", |
| "value": "gemini-2.0-flash", |
| "display_name": "Model", |
| "advanced": false, |
| "dynamic": false, |
| "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", |
| "real_time_refresh": false, |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Google API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The Google API Key to use for the Google Generative AI.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "top_p": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_p", |
| "value": "", |
| "display_name": "Top P", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum cumulative probability of tokens to consider when sampling.", |
| "title_case": false, |
| "type": "float", |
| "_input_type": "FloatInput", |
| "input_types": [] |
| }, |
| "temperature": { |
| "tool_mode": false, |
| "min_label": "", |
| "max_label": "", |
| "min_label_icon": "", |
| "max_label_icon": "", |
| "slider_buttons": false, |
| "slider_buttons_options": [], |
| "slider_input": false, |
| "range_spec": { |
| "step_type": "float", |
| "min": 0, |
| "max": 2, |
| "step": 0.01 |
| }, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "temperature", |
| "value": 0.1, |
| "display_name": "Temperature", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Controls randomness. Lower values are more deterministic, higher values are more creative.", |
| "title_case": false, |
| "type": "slider", |
| "_input_type": "SliderInput", |
| "input_types": [] |
| }, |
| "n": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n", |
| "value": "", |
| "display_name": "N", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "top_k": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_k", |
| "value": "", |
| "display_name": "Top K", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "tool_model_enabled": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_model_enabled", |
| "value": false, |
| "display_name": "Tool Model Enabled", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Whether to use the tool model.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| } |
| }, |
| "description": "Define the agent's instructions, then enter a task to complete using tools.", |
| "icon": "bot", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Plan Agent", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "response", |
| "hidden": null, |
| "display_name": "Response", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "agent_llm", |
| "max_tokens", |
| "model_kwargs", |
| "json_mode", |
| "model_name", |
| "openai_api_base", |
| "api_key", |
| "temperature", |
| "seed", |
| "system_prompt", |
| "tools", |
| "input_value", |
| "handle_parsing_errors", |
| "verbose", |
| "max_iterations", |
| "agent_description", |
| "memory", |
| "sender", |
| "sender_name", |
| "n_messages", |
| "session_id", |
| "order", |
| "template", |
| "add_current_date_tool" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Agent", |
| "id": "Agent-e7sUF" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 703 |
| } |
| }, |
| { |
| "id": "Agent-womuY", |
| "type": "genericNode", |
| "position": { |
| "x": 1867.4884290294667, |
| "y": 21.107154581322682 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "memory": { |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "memory", |
| "value": "", |
| "display_name": "External Memory", |
| "advanced": true, |
| "input_types": [ |
| "Memory" |
| ], |
| "dynamic": false, |
| "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "tools": { |
| "trace_as_metadata": true, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tools", |
| "value": "", |
| "display_name": "Tools", |
| "advanced": false, |
| "input_types": [ |
| "Tool" |
| ], |
| "dynamic": false, |
| "info": "These are the tools that the agent can use to help with tasks.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "add_current_date_tool": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "add_current_date_tool", |
| "value": true, |
| "display_name": "Current Date", |
| "advanced": true, |
| "dynamic": false, |
| "info": "If true, will add a tool to the agent that returns the current date.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "agent_description": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_description", |
| "value": "A helpful assistant with access to the following tools:", |
| "display_name": "Agent Description [Deprecated]", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "agent_llm": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Amazon Bedrock", |
| "Anthropic", |
| "Azure OpenAI", |
| "Google Generative AI", |
| "Groq", |
| "NVIDIA", |
| "OpenAI", |
| "Custom" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_llm", |
| "value": "Google Generative AI", |
| "display_name": "Model Provider", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "The provider of the language model that the agent will use to generate responses.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n except Exception as e:\n # Log the error for debugging purposes\n logger.error(f\"Error retrieving language model: {e}\")\n raise\n\n try:\n self.chat_history = await self.get_memory_data()\n except Exception as e:\n logger.error(f\"Error retrieving chat history: {e}\")\n raise\n\n if self.add_current_date_tool:\n try:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n # Convert CurrentDateComponent to a StructuredTool\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if isinstance(current_date_tool, StructuredTool):\n self.tools.append(current_date_tool)\n else:\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n except Exception as e:\n logger.error(f\"Error adding current date tool: {e}\")\n raise\n\n if not self.tools:\n msg = \"Tools are required to run the agent.\"\n logger.error(msg)\n raise ValueError(msg)\n\n try:\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n except Exception as e:\n logger.error(f\"Error setting up the agent: {e}\")\n raise\n\n return await self.run_agent(agent)\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if isinstance(self.agent_llm, str):\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n return (\n self._build_llm_model(component_class, inputs, prefix),\n display_name,\n )\n except Exception as e:\n msg = f\"Error building {self.agent_llm} language model\"\n raise ValueError(msg) from e\n return self.agent_llm, None\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "input_types": [] |
| }, |
| "handle_parsing_errors": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "handle_parsing_errors", |
| "value": true, |
| "display_name": "Handle Parse Errors", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Should the Agent fix errors when reading user input for better processing?", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "input_value": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Input", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The input provided by the user for the agent to process.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "max_iterations": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_iterations", |
| "value": 15, |
| "display_name": "Max Iterations", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum number of attempts the agent can make to complete its task before it stops.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "n_messages": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n_messages", |
| "value": 100, |
| "display_name": "Number of Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of messages to retrieve.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "order": { |
| "tool_mode": true, |
| "trace_as_metadata": true, |
| "options": [ |
| "Ascending", |
| "Descending" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "order", |
| "value": "Ascending", |
| "display_name": "Order", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Order of the messages.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User", |
| "Machine and User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine and User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Filter by sender type.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Filter by sender name.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "system_prompt": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "system_prompt", |
| "value": "Complement the lesson plan with a list of videos (obtained from YouTube) that students should watch before the class. As response give the updated lesson plan. Make sure that the videos are age appropriate.", |
| "display_name": "Agent Instructions", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "{sender_name}: {text}", |
| "display_name": "Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "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.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "verbose": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "verbose", |
| "value": true, |
| "display_name": "Verbose", |
| "advanced": true, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "max_output_tokens": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_output_tokens", |
| "value": "", |
| "display_name": "Max Output Tokens", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The maximum number of tokens to generate.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "model_name": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "learnlm-1.5-pro-experimental", |
| "gemini-pro-vision", |
| "gemini-pro", |
| "gemini-exp-1206", |
| "gemini-2.0-pro-exp-02-05", |
| "gemini-2.0-pro-exp", |
| "gemini-2.0-flash-thinking-exp-1219", |
| "gemini-2.0-flash-thinking-exp-01-21", |
| "gemini-2.0-flash-thinking-exp", |
| "gemini-2.0-flash-lite-preview-02-05", |
| "gemini-2.0-flash-lite-preview", |
| "gemini-2.0-flash-exp", |
| "gemini-2.0-flash-001", |
| "gemini-2.0-flash", |
| "gemini-1.5-pro-latest", |
| "gemini-1.5-pro-002", |
| "gemini-1.5-pro-001", |
| "gemini-1.5-pro", |
| "gemini-1.5-flash-latest", |
| "gemini-1.5-flash-8b-latest", |
| "gemini-1.5-flash-8b-exp-0924", |
| "gemini-1.5-flash-8b-exp-0827", |
| "gemini-1.5-flash-8b-001", |
| "gemini-1.5-flash-8b", |
| "gemini-1.5-flash-002", |
| "gemini-1.5-flash-001-tuning", |
| "gemini-1.5-flash-001", |
| "gemini-1.5-flash", |
| "gemini-1.0-pro-vision-latest", |
| "gemini-1.0-pro-latest", |
| "gemini-1.0-pro-001", |
| "gemini-1.0-pro" |
| ], |
| "options_metadata": [], |
| "combobox": true, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "model_name", |
| "value": "gemini-2.0-flash", |
| "display_name": "Model", |
| "advanced": false, |
| "dynamic": false, |
| "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", |
| "real_time_refresh": false, |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Google API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The Google API Key to use for the Google Generative AI.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "top_p": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_p", |
| "value": "", |
| "display_name": "Top P", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum cumulative probability of tokens to consider when sampling.", |
| "title_case": false, |
| "type": "float", |
| "_input_type": "FloatInput", |
| "input_types": [] |
| }, |
| "temperature": { |
| "tool_mode": false, |
| "min_label": "", |
| "max_label": "", |
| "min_label_icon": "", |
| "max_label_icon": "", |
| "slider_buttons": false, |
| "slider_buttons_options": [], |
| "slider_input": false, |
| "range_spec": { |
| "step_type": "float", |
| "min": 0, |
| "max": 2, |
| "step": 0.01 |
| }, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "temperature", |
| "value": 0.1, |
| "display_name": "Temperature", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Controls randomness. Lower values are more deterministic, higher values are more creative.", |
| "title_case": false, |
| "type": "slider", |
| "_input_type": "SliderInput", |
| "input_types": [] |
| }, |
| "n": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n", |
| "value": "", |
| "display_name": "N", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "top_k": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_k", |
| "value": "", |
| "display_name": "Top K", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "tool_model_enabled": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_model_enabled", |
| "value": false, |
| "display_name": "Tool Model Enabled", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Whether to use the tool model.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| } |
| }, |
| "description": "Define the agent's instructions, then enter a task to complete using tools.", |
| "icon": "bot", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Video Agent", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "response", |
| "hidden": null, |
| "display_name": "Response", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "agent_llm", |
| "max_tokens", |
| "model_kwargs", |
| "json_mode", |
| "model_name", |
| "openai_api_base", |
| "api_key", |
| "temperature", |
| "seed", |
| "system_prompt", |
| "tools", |
| "input_value", |
| "handle_parsing_errors", |
| "verbose", |
| "max_iterations", |
| "agent_description", |
| "memory", |
| "sender", |
| "sender_name", |
| "n_messages", |
| "session_id", |
| "order", |
| "template", |
| "add_current_date_tool" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Agent", |
| "id": "Agent-womuY" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 703 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "ComposioAPI-RfpkY", |
| "type": "genericNode", |
| "position": { |
| "x": 1433.0873769261334, |
| "y": -425.0395643971953 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "auth_link": { |
| "required": false, |
| "placeholder": "Click to authenticate", |
| "show": false, |
| "name": "auth_link", |
| "value": "", |
| "display_name": "Authentication Link", |
| "advanced": true, |
| "dynamic": true, |
| "info": "Click to authenticate with OAuth2", |
| "title_case": false, |
| "type": "link", |
| "_input_type": "LinkInput", |
| "load_from_db": false |
| }, |
| "action_names": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "YOUTUBE_LIST_USER_PLAYLISTS", |
| "YOUTUBE_VIDEO_DETAILS", |
| "YOUTUBE_UPDATE_THUMBNAIL", |
| "YOUTUBE_SEARCH_YOU_TUBE", |
| "YOUTUBE_LIST_CAPTION_TRACK", |
| "YOUTUBE_SUBSCRIBE_CHANNEL", |
| "YOUTUBE_LIST_USER_SUBSCRIPTIONS", |
| "YOUTUBE_LIST_CHANNEL_VIDEOS", |
| "YOUTUBE_UPDATE_VIDEO", |
| "YOUTUBE_LOAD_CAPTIONS" |
| ], |
| "combobox": false, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "action_names", |
| "value": [ |
| "YOUTUBE_SEARCH_YOU_TUBE" |
| ], |
| "display_name": "Actions to use", |
| "advanced": false, |
| "dynamic": true, |
| "info": "The actions to pass to agent to execute", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultiselectInput" |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Composio API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Refer to https://docs.composio.dev/faq/api_key/api_key", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "app_credentials": { |
| "load_from_db": false, |
| "required": false, |
| "placeholder": "", |
| "show": false, |
| "name": "app_credentials", |
| "value": "", |
| "display_name": "App Credentials", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": true, |
| "info": "Credentials for app authentication (API Key, Password, etc)", |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "app_names": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "ACCELO", |
| "AIRTABLE", |
| "AMAZON", |
| "APALEO", |
| "ASANA", |
| "ATLASSIAN", |
| "ATTIO", |
| "AUTH0", |
| "BATTLENET", |
| "BITBUCKET", |
| "BLACKBAUD", |
| "BLACKBOARD", |
| "BOLDSIGN", |
| "BORNEO", |
| "BOX", |
| "BRAINTREE", |
| "BREX", |
| "BREX_STAGING", |
| "BRIGHTPEARL", |
| "CALENDLY", |
| "CANVA", |
| "CANVAS", |
| "CHATWORK", |
| "CLICKUP", |
| "CONFLUENCE", |
| "CONTENTFUL", |
| "D2LBRIGHTSPACE", |
| "DEEL", |
| "DISCORD", |
| "DISCORDBOT", |
| "DOCUSIGN", |
| "DROPBOX", |
| "DROPBOX_SIGN", |
| "DYNAMICS365", |
| "EPIC_GAMES", |
| "EVENTBRITE", |
| "EXIST", |
| "FACEBOOK", |
| "FIGMA", |
| "FITBIT", |
| "FRESHBOOKS", |
| "FRONT", |
| "GITHUB", |
| "GMAIL", |
| "GMAIL_BETA", |
| "GO_TO_WEBINAR", |
| "GOOGLE_ANALYTICS", |
| "GOOGLE_DRIVE_BETA", |
| "GOOGLE_MAPS", |
| "GOOGLECALENDAR", |
| "GOOGLEDOCS", |
| "GOOGLEDRIVE", |
| "GOOGLEMEET", |
| "GOOGLEPHOTOS", |
| "GOOGLESHEETS", |
| "GOOGLETASKS", |
| "GORGIAS", |
| "GUMROAD", |
| "HARVEST", |
| "HIGHLEVEL", |
| "HUBSPOT", |
| "ICIMS_TALENT_CLOUD", |
| "INTERCOM", |
| "JIRA", |
| "KEAP", |
| "KLAVIYO", |
| "LASTPASS", |
| "LEVER", |
| "LEVER_SANDBOX", |
| "LINEAR", |
| "LINKEDIN", |
| "LINKHUT", |
| "MAILCHIMP", |
| "MICROSOFT_TEAMS", |
| "MICROSOFT_TENANT", |
| "MIRO", |
| "MONDAY", |
| "MURAL", |
| "NETSUITE", |
| "NOTION", |
| "ONE_DRIVE", |
| "OUTLOOK", |
| "PAGERDUTY", |
| "PIPEDRIVE", |
| "PRODUCTBOARD", |
| "REDDIT", |
| "RING_CENTRAL", |
| "RIPPLING", |
| "SAGE", |
| "SALESFORCE", |
| "SEISMIC", |
| "SERVICEM8", |
| "SHARE_POINT", |
| "SHOPIFY", |
| "SLACK", |
| "SLACKBOT", |
| "SMARTRECRUITERS", |
| "SPOTIFY", |
| "SQUARE", |
| "STACK_EXCHANGE", |
| "SURVEY_MONKEY", |
| "TIMELY", |
| "TODOIST", |
| "TONEDEN", |
| "TRELLO", |
| "TWITCH", |
| "TWITTER", |
| "TWITTER_MEDIA", |
| "WAKATIME", |
| "WAVE_ACCOUNTING", |
| "WEBEX", |
| "WIZ", |
| "WRIKE", |
| "XERO", |
| "YANDEX", |
| "YNAB", |
| "YOUTUBE", |
| "ZENDESK", |
| "ZOHO", |
| "ZOHO_BIGIN", |
| "ZOHO_BOOKS", |
| "ZOHO_DESK", |
| "ZOHO_INVENTORY", |
| "ZOHO_INVOICE", |
| "ZOHO_MAIL", |
| "ZOOM" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "app_names", |
| "value": "YOUTUBE", |
| "display_name": "App Name", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The app name to use. Please refresh after selecting app name", |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "auth_status": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "auth_status", |
| "value": "✅", |
| "display_name": "Auth Status", |
| "advanced": false, |
| "dynamic": true, |
| "info": "Current authentication status", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "StrInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "# Standard library imports\nfrom collections.abc import Sequence\nfrom typing import Any\n\nimport requests\n\n# Third-party imports\nfrom composio.client.collections import AppAuthScheme\nfrom composio.client.exceptions import NoItemsFound\nfrom composio_langchain import Action, ComposioToolSet\nfrom langchain_core.tools import Tool\nfrom loguru import logger\n\n# Local imports\nfrom langflow.base.langchain_utilities.model import LCToolComponent\nfrom langflow.inputs import DropdownInput, LinkInput, MessageTextInput, MultiselectInput, SecretStrInput, StrInput\nfrom langflow.io import Output\n\n\nclass ComposioAPIComponent(LCToolComponent):\n display_name: str = \"Composio Tools\"\n description: str = \"Use Composio toolset to run actions with your agent\"\n name = \"ComposioAPI\"\n icon = \"Composio\"\n documentation: str = \"https://docs.composio.dev\"\n\n inputs = [\n # Basic configuration inputs\n MessageTextInput(name=\"entity_id\", display_name=\"Entity ID\", value=\"default\", advanced=True),\n SecretStrInput(\n name=\"api_key\",\n display_name=\"Composio API Key\",\n required=True,\n info=\"Refer to https://docs.composio.dev/faq/api_key/api_key\",\n real_time_refresh=True,\n ),\n DropdownInput(\n name=\"app_names\",\n display_name=\"App Name\",\n options=[],\n value=\"\",\n info=\"The app name to use. Please refresh after selecting app name\",\n refresh_button=True,\n required=True,\n ),\n # Authentication-related inputs (initially hidden)\n SecretStrInput(\n name=\"app_credentials\",\n display_name=\"App Credentials\",\n required=False,\n dynamic=True,\n show=False,\n info=\"Credentials for app authentication (API Key, Password, etc)\",\n load_from_db=False,\n ),\n MessageTextInput(\n name=\"username\",\n display_name=\"Username\",\n required=False,\n dynamic=True,\n show=False,\n info=\"Username for Basic authentication\",\n ),\n LinkInput(\n name=\"auth_link\",\n display_name=\"Authentication Link\",\n value=\"\",\n info=\"Click to authenticate with OAuth2\",\n dynamic=True,\n show=False,\n placeholder=\"Click to authenticate\",\n ),\n StrInput(\n name=\"auth_status\",\n display_name=\"Auth Status\",\n value=\"Not Connected\",\n info=\"Current authentication status\",\n dynamic=True,\n show=False,\n ),\n MultiselectInput(\n name=\"action_names\",\n display_name=\"Actions to use\",\n required=True,\n options=[],\n value=[],\n info=\"The actions to pass to agent to execute\",\n dynamic=True,\n show=False,\n ),\n ]\n\n outputs = [\n Output(name=\"tools\", display_name=\"Tools\", method=\"build_tool\"),\n ]\n\n def _check_for_authorization(self, app: str) -> str:\n \"\"\"Checks if the app is authorized.\n\n Args:\n app (str): The app name to check authorization for.\n\n Returns:\n str: The authorization status or URL.\n \"\"\"\n toolset = self._build_wrapper()\n entity = toolset.client.get_entity(id=self.entity_id)\n try:\n # Check if user is already connected\n entity.get_connection(app=app)\n except NoItemsFound:\n # Get auth scheme for the app\n auth_scheme = self._get_auth_scheme(app)\n return self._handle_auth_by_scheme(entity, app, auth_scheme)\n except Exception: # noqa: BLE001\n logger.exception(\"Authorization error\")\n return \"Error checking authorization\"\n else:\n return f\"{app} CONNECTED\"\n\n def _get_auth_scheme(self, app_name: str) -> AppAuthScheme:\n \"\"\"Get the primary auth scheme for an app.\n\n Args:\n app_name (str): The name of the app to get auth scheme for.\n\n Returns:\n AppAuthScheme: The auth scheme details.\n \"\"\"\n toolset = self._build_wrapper()\n try:\n return toolset.get_auth_scheme_for_app(app=app_name.lower())\n except Exception: # noqa: BLE001\n logger.exception(f\"Error getting auth scheme for {app_name}\")\n return None\n\n def _get_oauth_apps(self, api_key: str) -> list[str]:\n \"\"\"Fetch OAuth-enabled apps from Composio API.\n\n Args:\n api_key (str): The Composio API key.\n\n Returns:\n list[str]: A list containing OAuth-enabled app names.\n \"\"\"\n oauth_apps = []\n try:\n url = \"https://backend.composio.dev/api/v1/apps\"\n headers = {\"x-api-key\": api_key}\n params = {\n \"includeLocal\": \"true\",\n \"additionalFields\": \"auth_schemes\",\n \"sortBy\": \"alphabet\",\n }\n\n response = requests.get(url, headers=headers, params=params, timeout=20)\n data = response.json()\n\n for item in data.get(\"items\", []):\n for auth_scheme in item.get(\"auth_schemes\", []):\n if auth_scheme.get(\"mode\") in [\"OAUTH1\", \"OAUTH2\"]:\n oauth_apps.append(item[\"key\"].upper())\n break\n except requests.RequestException as e:\n logger.error(f\"Error fetching OAuth apps: {e}\")\n return []\n else:\n return oauth_apps\n\n def _handle_auth_by_scheme(self, entity: Any, app: str, auth_scheme: AppAuthScheme) -> str:\n \"\"\"Handle authentication based on the auth scheme.\n\n Args:\n entity (Any): The entity instance.\n app (str): The app name.\n auth_scheme (AppAuthScheme): The auth scheme details.\n\n Returns:\n str: The authentication status or URL.\n \"\"\"\n auth_mode = auth_scheme.auth_mode\n\n try:\n # First check if already connected\n entity.get_connection(app=app)\n except NoItemsFound:\n # If not connected, handle new connection based on auth mode\n if auth_mode == \"API_KEY\":\n if hasattr(self, \"app_credentials\") and self.app_credentials:\n try:\n entity.initiate_connection(\n app_name=app,\n auth_mode=\"API_KEY\",\n auth_config={\"api_key\": self.app_credentials},\n use_composio_auth=False,\n force_new_integration=True,\n )\n except Exception as e: # noqa: BLE001\n logger.error(f\"Error connecting with API Key: {e}\")\n return \"Invalid API Key\"\n else:\n return f\"{app} CONNECTED\"\n return \"Enter API Key\"\n\n if (\n auth_mode == \"BASIC\"\n and hasattr(self, \"username\")\n and hasattr(self, \"app_credentials\")\n and self.username\n and self.app_credentials\n ):\n try:\n entity.initiate_connection(\n app_name=app,\n auth_mode=\"BASIC\",\n auth_config={\"username\": self.username, \"password\": self.app_credentials},\n use_composio_auth=False,\n force_new_integration=True,\n )\n except Exception as e: # noqa: BLE001\n logger.error(f\"Error connecting with Basic Auth: {e}\")\n return \"Invalid credentials\"\n else:\n return f\"{app} CONNECTED\"\n elif auth_mode == \"BASIC\":\n return \"Enter Username and Password\"\n\n if auth_mode == \"OAUTH2\":\n try:\n return self._initiate_default_connection(entity, app)\n except Exception as e: # noqa: BLE001\n logger.error(f\"Error initiating OAuth2: {e}\")\n return \"OAuth2 initialization failed\"\n\n return \"Unsupported auth mode\"\n except Exception as e: # noqa: BLE001\n logger.error(f\"Error checking connection status: {e}\")\n return f\"Error: {e!s}\"\n else:\n return f\"{app} CONNECTED\"\n\n def _initiate_default_connection(self, entity: Any, app: str) -> str:\n connection = entity.initiate_connection(app_name=app, use_composio_auth=True, force_new_integration=True)\n return connection.redirectUrl\n\n def _get_connected_app_names_for_entity(self) -> list[str]:\n toolset = self._build_wrapper()\n connections = toolset.client.get_entity(id=self.entity_id).get_connections()\n return list({connection.appUniqueId for connection in connections})\n\n def _get_normalized_app_name(self) -> str:\n \"\"\"Get app name without connection status suffix.\n\n Returns:\n str: Normalized app name.\n \"\"\"\n return self.app_names.replace(\" ✅\", \"\").replace(\"_connected\", \"\")\n\n def update_build_config(self, build_config: dict, field_value: Any, field_name: str | None = None) -> dict: # noqa: ARG002\n # Update the available apps options from the API\n if hasattr(self, \"api_key\") and self.api_key != \"\":\n toolset = self._build_wrapper()\n build_config[\"app_names\"][\"options\"] = self._get_oauth_apps(api_key=self.api_key)\n\n # First, ensure all dynamic fields are hidden by default\n dynamic_fields = [\"app_credentials\", \"username\", \"auth_link\", \"auth_status\", \"action_names\"]\n for field in dynamic_fields:\n if field in build_config:\n if build_config[field][\"value\"] is None or build_config[field][\"value\"] == \"\":\n build_config[field][\"show\"] = False\n build_config[field][\"advanced\"] = True\n build_config[field][\"load_from_db\"] = False\n else:\n build_config[field][\"show\"] = True\n build_config[field][\"advanced\"] = False\n\n if field_name == \"app_names\" and (not hasattr(self, \"app_names\") or not self.app_names):\n build_config[\"auth_status\"][\"show\"] = True\n build_config[\"auth_status\"][\"value\"] = \"Please select an app first\"\n return build_config\n\n if field_name == \"app_names\" and hasattr(self, \"api_key\") and self.api_key != \"\":\n # app_name = self._get_normalized_app_name()\n app_name = self.app_names\n try:\n toolset = self._build_wrapper()\n entity = toolset.client.get_entity(id=self.entity_id)\n\n # Always show auth_status when app is selected\n build_config[\"auth_status\"][\"show\"] = True\n build_config[\"auth_status\"][\"advanced\"] = False\n\n try:\n # Check if already connected\n entity.get_connection(app=app_name)\n build_config[\"auth_status\"][\"value\"] = \"✅\"\n build_config[\"auth_link\"][\"show\"] = False\n # Show action selection for connected apps\n build_config[\"action_names\"][\"show\"] = True\n build_config[\"action_names\"][\"advanced\"] = False\n\n except NoItemsFound:\n # Get auth scheme and show relevant fields\n auth_scheme = self._get_auth_scheme(app_name)\n auth_mode = auth_scheme.auth_mode\n logger.info(f\"Auth mode for {app_name}: {auth_mode}\")\n\n if auth_mode == \"API_KEY\":\n build_config[\"app_credentials\"][\"show\"] = True\n build_config[\"app_credentials\"][\"advanced\"] = False\n build_config[\"app_credentials\"][\"display_name\"] = \"API Key\"\n build_config[\"auth_status\"][\"value\"] = \"Enter API Key\"\n\n elif auth_mode == \"BASIC\":\n build_config[\"username\"][\"show\"] = True\n build_config[\"username\"][\"advanced\"] = False\n build_config[\"app_credentials\"][\"show\"] = True\n build_config[\"app_credentials\"][\"advanced\"] = False\n build_config[\"app_credentials\"][\"display_name\"] = \"Password\"\n build_config[\"auth_status\"][\"value\"] = \"Enter Username and Password\"\n\n elif auth_mode == \"OAUTH2\":\n build_config[\"auth_link\"][\"show\"] = True\n build_config[\"auth_link\"][\"advanced\"] = False\n auth_url = self._initiate_default_connection(entity, app_name)\n build_config[\"auth_link\"][\"value\"] = auth_url\n build_config[\"auth_status\"][\"value\"] = \"Click link to authenticate\"\n\n else:\n build_config[\"auth_status\"][\"value\"] = \"Unsupported auth mode\"\n\n # Update action names if connected\n if build_config[\"auth_status\"][\"value\"] == \"✅\":\n all_action_names = [str(action).replace(\"Action.\", \"\") for action in Action.all()]\n app_action_names = [\n action_name\n for action_name in all_action_names\n if action_name.lower().startswith(app_name.lower() + \"_\")\n ]\n if build_config[\"action_names\"][\"options\"] != app_action_names:\n build_config[\"action_names\"][\"options\"] = app_action_names\n build_config[\"action_names\"][\"value\"] = [app_action_names[0]] if app_action_names else [\"\"]\n\n except Exception as e: # noqa: BLE001\n logger.error(f\"Error checking auth status: {e}, app: {app_name}\")\n build_config[\"auth_status\"][\"value\"] = f\"Error: {e!s}\"\n\n return build_config\n\n def build_tool(self) -> Sequence[Tool]:\n \"\"\"Build Composio tools based on selected actions.\n\n Returns:\n Sequence[Tool]: List of configured Composio tools.\n \"\"\"\n composio_toolset = self._build_wrapper()\n return composio_toolset.get_tools(actions=self.action_names)\n\n def _build_wrapper(self) -> ComposioToolSet:\n \"\"\"Build the Composio toolset wrapper.\n\n Returns:\n ComposioToolSet: The initialized toolset.\n\n Raises:\n ValueError: If the API key is not found or invalid.\n \"\"\"\n try:\n if not self.api_key:\n msg = \"Composio API Key is required\"\n raise ValueError(msg)\n return ComposioToolSet(api_key=self.api_key)\n except ValueError as e:\n logger.error(f\"Error building Composio wrapper: {e}\")\n msg = \"Please provide a valid Composio API Key in the component settings\"\n raise ValueError(msg) from e\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false |
| }, |
| "entity_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "entity_id", |
| "value": "default", |
| "display_name": "Entity ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "username": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": false, |
| "name": "username", |
| "value": "", |
| "display_name": "Username", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": true, |
| "info": "Username for Basic authentication", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| } |
| }, |
| "description": "Use Composio toolset to run actions with your agent", |
| "icon": "Composio", |
| "base_classes": [ |
| "Tool" |
| ], |
| "display_name": "Composio Tools", |
| "documentation": "https://docs.composio.dev", |
| "minimized": false, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Tool" |
| ], |
| "selected": "Tool", |
| "name": "tools", |
| "hidden": null, |
| "display_name": "Tools", |
| "method": "build_tool", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "entity_id", |
| "api_key", |
| "app_names", |
| "app_credentials", |
| "username", |
| "auth_link", |
| "auth_status", |
| "action_names" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "ComposioAPI", |
| "id": "ComposioAPI-RfpkY" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 495 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "Agent-g9eV8", |
| "type": "genericNode", |
| "position": { |
| "x": 2445, |
| "y": 30 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "memory": { |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "memory", |
| "value": "", |
| "display_name": "External Memory", |
| "advanced": true, |
| "input_types": [ |
| "Memory" |
| ], |
| "dynamic": false, |
| "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "tools": { |
| "trace_as_metadata": true, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tools", |
| "value": "", |
| "display_name": "Tools", |
| "advanced": false, |
| "input_types": [ |
| "Tool" |
| ], |
| "dynamic": false, |
| "info": "These are the tools that the agent can use to help with tasks.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "add_current_date_tool": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "add_current_date_tool", |
| "value": true, |
| "display_name": "Current Date", |
| "advanced": true, |
| "dynamic": false, |
| "info": "If true, will add a tool to the agent that returns the current date.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "agent_description": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_description", |
| "value": "A helpful assistant with access to the following tools:", |
| "display_name": "Agent Description [Deprecated]", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "agent_llm": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Amazon Bedrock", |
| "Anthropic", |
| "Azure OpenAI", |
| "Google Generative AI", |
| "Groq", |
| "NVIDIA", |
| "OpenAI", |
| "Custom" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_llm", |
| "value": "Google Generative AI", |
| "display_name": "Model Provider", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "The provider of the language model that the agent will use to generate responses.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n except Exception as e:\n # Log the error for debugging purposes\n logger.error(f\"Error retrieving language model: {e}\")\n raise\n\n try:\n self.chat_history = await self.get_memory_data()\n except Exception as e:\n logger.error(f\"Error retrieving chat history: {e}\")\n raise\n\n if self.add_current_date_tool:\n try:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n # Convert CurrentDateComponent to a StructuredTool\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if isinstance(current_date_tool, StructuredTool):\n self.tools.append(current_date_tool)\n else:\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n except Exception as e:\n logger.error(f\"Error adding current date tool: {e}\")\n raise\n\n if not self.tools:\n msg = \"Tools are required to run the agent.\"\n logger.error(msg)\n raise ValueError(msg)\n\n try:\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n except Exception as e:\n logger.error(f\"Error setting up the agent: {e}\")\n raise\n\n return await self.run_agent(agent)\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if isinstance(self.agent_llm, str):\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n return (\n self._build_llm_model(component_class, inputs, prefix),\n display_name,\n )\n except Exception as e:\n msg = f\"Error building {self.agent_llm} language model\"\n raise ValueError(msg) from e\n return self.agent_llm, None\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "input_types": [] |
| }, |
| "handle_parsing_errors": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "handle_parsing_errors", |
| "value": true, |
| "display_name": "Handle Parse Errors", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Should the Agent fix errors when reading user input for better processing?", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "input_value": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Input", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The input provided by the user for the agent to process.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "max_iterations": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_iterations", |
| "value": 15, |
| "display_name": "Max Iterations", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum number of attempts the agent can make to complete its task before it stops.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "n_messages": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n_messages", |
| "value": 100, |
| "display_name": "Number of Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of messages to retrieve.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "order": { |
| "tool_mode": true, |
| "trace_as_metadata": true, |
| "options": [ |
| "Ascending", |
| "Descending" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "order", |
| "value": "Ascending", |
| "display_name": "Order", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Order of the messages.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User", |
| "Machine and User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine and User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Filter by sender type.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Filter by sender name.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "system_prompt": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "system_prompt", |
| "value": "Please evaluate the lesson plan and check if it meets the Common Core standards. As output give original plan plus the recommendations to make it complies with Common Core.", |
| "display_name": "Agent Instructions", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "{sender_name}: {text}", |
| "display_name": "Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "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.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "verbose": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "verbose", |
| "value": true, |
| "display_name": "Verbose", |
| "advanced": true, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "max_output_tokens": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_output_tokens", |
| "value": "", |
| "display_name": "Max Output Tokens", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The maximum number of tokens to generate.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "model_name": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "learnlm-1.5-pro-experimental", |
| "gemini-pro-vision", |
| "gemini-pro", |
| "gemini-exp-1206", |
| "gemini-2.0-pro-exp-02-05", |
| "gemini-2.0-pro-exp", |
| "gemini-2.0-flash-thinking-exp-1219", |
| "gemini-2.0-flash-thinking-exp-01-21", |
| "gemini-2.0-flash-thinking-exp", |
| "gemini-2.0-flash-lite-preview-02-05", |
| "gemini-2.0-flash-lite-preview", |
| "gemini-2.0-flash-exp", |
| "gemini-2.0-flash-001", |
| "gemini-2.0-flash", |
| "gemini-1.5-pro-latest", |
| "gemini-1.5-pro-002", |
| "gemini-1.5-pro-001", |
| "gemini-1.5-pro", |
| "gemini-1.5-flash-latest", |
| "gemini-1.5-flash-8b-latest", |
| "gemini-1.5-flash-8b-exp-0924", |
| "gemini-1.5-flash-8b-exp-0827", |
| "gemini-1.5-flash-8b-001", |
| "gemini-1.5-flash-8b", |
| "gemini-1.5-flash-002", |
| "gemini-1.5-flash-001-tuning", |
| "gemini-1.5-flash-001", |
| "gemini-1.5-flash", |
| "gemini-1.0-pro-vision-latest", |
| "gemini-1.0-pro-latest", |
| "gemini-1.0-pro-001", |
| "gemini-1.0-pro" |
| ], |
| "options_metadata": [], |
| "combobox": true, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "model_name", |
| "value": "learnlm-1.5-pro-experimental", |
| "display_name": "Model", |
| "advanced": false, |
| "dynamic": false, |
| "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", |
| "real_time_refresh": false, |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Google API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The Google API Key to use for the Google Generative AI.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "top_p": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_p", |
| "value": "", |
| "display_name": "Top P", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum cumulative probability of tokens to consider when sampling.", |
| "title_case": false, |
| "type": "float", |
| "_input_type": "FloatInput", |
| "input_types": [] |
| }, |
| "temperature": { |
| "tool_mode": false, |
| "min_label": "", |
| "max_label": "", |
| "min_label_icon": "", |
| "max_label_icon": "", |
| "slider_buttons": false, |
| "slider_buttons_options": [], |
| "slider_input": false, |
| "range_spec": { |
| "step_type": "float", |
| "min": 0, |
| "max": 2, |
| "step": 0.01 |
| }, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "temperature", |
| "value": 0.1, |
| "display_name": "Temperature", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Controls randomness. Lower values are more deterministic, higher values are more creative.", |
| "title_case": false, |
| "type": "slider", |
| "_input_type": "SliderInput", |
| "input_types": [] |
| }, |
| "n": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n", |
| "value": "", |
| "display_name": "N", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "top_k": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_k", |
| "value": "", |
| "display_name": "Top K", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "tool_model_enabled": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_model_enabled", |
| "value": false, |
| "display_name": "Tool Model Enabled", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Whether to use the tool model.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| } |
| }, |
| "description": "Define the agent's instructions, then enter a task to complete using tools.", |
| "icon": "bot", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Evaluation Agent", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "response", |
| "hidden": null, |
| "display_name": "Response", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "agent_llm", |
| "max_tokens", |
| "model_kwargs", |
| "json_mode", |
| "model_name", |
| "openai_api_base", |
| "api_key", |
| "temperature", |
| "seed", |
| "system_prompt", |
| "tools", |
| "input_value", |
| "handle_parsing_errors", |
| "verbose", |
| "max_iterations", |
| "agent_description", |
| "memory", |
| "sender", |
| "sender_name", |
| "n_messages", |
| "session_id", |
| "order", |
| "template", |
| "add_current_date_tool" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Agent", |
| "id": "Agent-g9eV8" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 703 |
| } |
| }, |
| { |
| "id": "ChatOutput-IIhYR", |
| "type": "genericNode", |
| "position": { |
| "x": 3986.305321446119, |
| "y": 102.20276783452312 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "background_color": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "background_color", |
| "value": "", |
| "display_name": "Background Color", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The background color of the icon.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "chat_icon": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "chat_icon", |
| "value": "", |
| "display_name": "Icon", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The icon of the message.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\nfrom langflow.schema.properties import Source\nfrom langflow.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n MessageInput(\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 MessageTextInput(\n name=\"background_color\",\n display_name=\"Background Color\",\n info=\"The background color of the icon.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"chat_icon\",\n display_name=\"Icon\",\n info=\"The icon of the message.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"text_color\",\n display_name=\"Text Color\",\n info=\"The text color of the name\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(\n display_name=\"Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n source_dict[\"source\"] = source\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n source, icon, display_name, source_id = self.get_properties_from_source_component()\n background_color = self.background_color\n text_color = self.text_color\n if self.chat_icon:\n icon = self.chat_icon\n message = self.input_value if isinstance(self.input_value, Message) else Message(text=self.input_value)\n message.sender = self.sender\n message.sender_name = self.sender_name\n message.session_id = self.session_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n message.properties.icon = icon\n message.properties.background_color = background_color\n message.properties.text_color = text_color\n if self.session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false |
| }, |
| "data_template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "data_template", |
| "value": "{text}", |
| "display_name": "Data Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "input_value": { |
| "trace_as_input": true, |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Text", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Message to be passed as output.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageInput" |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Type of sender.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "AI", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Name of the sender.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "should_store_message": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "should_store_message", |
| "value": true, |
| "display_name": "Store Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Store the message in the history.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput" |
| }, |
| "text_color": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "text_color", |
| "value": "", |
| "display_name": "Text Color", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The text color of the name", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| } |
| }, |
| "description": "Display a chat message in the Playground.", |
| "icon": "MessagesSquare", |
| "base_classes": [ |
| "Message" |
| ], |
| "display_name": "Chat Output", |
| "documentation": "", |
| "minimized": true, |
| "custom_fields": {}, |
| "output_types": [], |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "message", |
| "display_name": "Message", |
| "method": "message_response", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "input_value", |
| "should_store_message", |
| "sender", |
| "sender_name", |
| "session_id", |
| "data_template", |
| "background_color", |
| "chat_icon", |
| "text_color" |
| ], |
| "beta": false, |
| "legacy": false, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": false, |
| "type": "ChatOutput", |
| "id": "ChatOutput-IIhYR" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 192, |
| "height": 66 |
| }, |
| "dragging": false |
| }, |
| { |
| "id": "Prompt-Od4Ay", |
| "type": "genericNode", |
| "position": { |
| "x": 2951.58883903118, |
| "y": 215.00737440103808 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "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 MessageTextInput, 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 MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n tool_mode=True,\n advanced=True,\n info=\"A placeholder input for tool mode.\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(self) -> Message:\n prompt = Message.from_template(**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 async def update_frontend_node(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"This function is called after the code validation is done.\"\"\"\n frontend_node = await super().update_frontend_node(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", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "Original Plan:\n{original}\n\nRecommendations:\n{recommendations}", |
| "display_name": "Template", |
| "advanced": false, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "prompt", |
| "_input_type": "PromptInput" |
| }, |
| "tool_placeholder": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tool_placeholder", |
| "value": "", |
| "display_name": "Tool Placeholder", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "A placeholder input for tool mode.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "original": { |
| "field_type": "str", |
| "required": false, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "", |
| "fileTypes": [], |
| "file_path": "", |
| "name": "original", |
| "display_name": "original", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "type": "str" |
| }, |
| "recommendations": { |
| "field_type": "str", |
| "required": false, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "", |
| "fileTypes": [], |
| "file_path": "", |
| "name": "recommendations", |
| "display_name": "recommendations", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "type": "str" |
| } |
| }, |
| "description": "Create a prompt template with dynamic variables.", |
| "icon": "prompts", |
| "is_input": null, |
| "is_output": null, |
| "is_composition": null, |
| "base_classes": [ |
| "Message" |
| ], |
| "name": "", |
| "display_name": "Prompt", |
| "documentation": "", |
| "minimized": false, |
| "custom_fields": { |
| "template": [ |
| "original", |
| "recommendations" |
| ] |
| }, |
| "output_types": [], |
| "full_path": null, |
| "pinned": false, |
| "conditional_paths": [], |
| "frozen": false, |
| "outputs": [ |
| { |
| "types": [ |
| "Message" |
| ], |
| "selected": "Message", |
| "name": "prompt", |
| "hidden": null, |
| "display_name": "Prompt Message", |
| "method": "build_prompt", |
| "value": "__UNDEFINED__", |
| "cache": true, |
| "required_inputs": null, |
| "allows_loop": false, |
| "tool_mode": true |
| } |
| ], |
| "field_order": [ |
| "template", |
| "tool_placeholder" |
| ], |
| "beta": false, |
| "legacy": false, |
| "error": null, |
| "edited": false, |
| "metadata": {}, |
| "tool_mode": false, |
| "lf_version": "1.1.4.post1" |
| }, |
| "showNode": true, |
| "type": "Prompt", |
| "id": "Prompt-Od4Ay" |
| }, |
| "selected": false, |
| "measured": { |
| "width": 320, |
| "height": 419 |
| } |
| }, |
| { |
| "id": "Agent-CjuzA", |
| "type": "genericNode", |
| "position": { |
| "x": 3491.1889286619075, |
| "y": 106.2214267618471 |
| }, |
| "data": { |
| "node": { |
| "template": { |
| "_type": "Component", |
| "memory": { |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "memory", |
| "value": "", |
| "display_name": "External Memory", |
| "advanced": true, |
| "input_types": [ |
| "Memory" |
| ], |
| "dynamic": false, |
| "info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "tools": { |
| "trace_as_metadata": true, |
| "list": true, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "tools", |
| "value": "", |
| "display_name": "Tools", |
| "advanced": false, |
| "input_types": [ |
| "Tool" |
| ], |
| "dynamic": false, |
| "info": "These are the tools that the agent can use to help with tasks.", |
| "title_case": false, |
| "type": "other", |
| "_input_type": "HandleInput" |
| }, |
| "add_current_date_tool": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "add_current_date_tool", |
| "value": true, |
| "display_name": "Current Date", |
| "advanced": true, |
| "dynamic": false, |
| "info": "If true, will add a tool to the agent that returns the current date.", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "agent_description": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_description", |
| "value": "A helpful assistant with access to the following tools:", |
| "display_name": "Agent Description [Deprecated]", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "agent_llm": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Amazon Bedrock", |
| "Anthropic", |
| "Azure OpenAI", |
| "Google Generative AI", |
| "Groq", |
| "NVIDIA", |
| "OpenAI", |
| "Custom" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "agent_llm", |
| "value": "Google Generative AI", |
| "display_name": "Model Provider", |
| "advanced": false, |
| "input_types": [], |
| "dynamic": false, |
| "info": "The provider of the language model that the agent will use to generate responses.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput" |
| }, |
| "code": { |
| "type": "code", |
| "required": true, |
| "placeholder": "", |
| "list": false, |
| "show": true, |
| "multiline": true, |
| "value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS_DICT,\n)\nfrom langflow.base.models.model_utils import get_model_name\nfrom langflow.components.helpers import CurrentDateComponent\nfrom langflow.components.helpers.memory import MemoryComponent\nfrom langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom langflow.custom.custom_component.component import _get_component_toolkit\nfrom langflow.custom.utils import update_component_build_config\nfrom langflow.field_typing import Tool\nfrom langflow.io import BoolInput, DropdownInput, MultilineInput, Output\nfrom langflow.logging import logger\nfrom langflow.schema.dotdict import dotdict\nfrom langflow.schema.message import Message\n\n\ndef set_advanced_true(component_input):\n component_input.advanced = True\n return component_input\n\n\nclass AgentComponent(ToolCallingAgentComponent):\n display_name: str = \"Agent\"\n description: str = \"Define the agent's instructions, then enter a task to complete using tools.\"\n icon = \"bot\"\n beta = False\n name = \"Agent\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"system_prompt\",\n display_name=\"Agent Instructions\",\n info=\"System Prompt: Initial instructions and context provided to guide the agent's behavior.\",\n value=\"You are a helpful assistant that can use tools to answer questions and perform tasks.\",\n advanced=False,\n ),\n *LCToolsAgentComponent._base_inputs,\n *memory_inputs,\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n ]\n outputs = [Output(name=\"response\", display_name=\"Response\", method=\"message_response\")]\n\n async def message_response(self) -> Message:\n try:\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n except Exception as e:\n # Log the error for debugging purposes\n logger.error(f\"Error retrieving language model: {e}\")\n raise\n\n try:\n self.chat_history = await self.get_memory_data()\n except Exception as e:\n logger.error(f\"Error retrieving chat history: {e}\")\n raise\n\n if self.add_current_date_tool:\n try:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n # Convert CurrentDateComponent to a StructuredTool\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if isinstance(current_date_tool, StructuredTool):\n self.tools.append(current_date_tool)\n else:\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n except Exception as e:\n logger.error(f\"Error adding current date tool: {e}\")\n raise\n\n if not self.tools:\n msg = \"Tools are required to run the agent.\"\n logger.error(msg)\n raise ValueError(msg)\n\n try:\n self.set(\n llm=llm_model,\n tools=self.tools,\n chat_history=self.chat_history,\n input_value=self.input_value,\n system_prompt=self.system_prompt,\n )\n agent = self.create_agent_runnable()\n except Exception as e:\n logger.error(f\"Error setting up the agent: {e}\")\n raise\n\n return await self.run_agent(agent)\n\n async def get_memory_data(self):\n memory_kwargs = {\n component_input.name: getattr(self, f\"{component_input.name}\") for component_input in self.memory_inputs\n }\n # filter out empty values\n memory_kwargs = {k: v for k, v in memory_kwargs.items() if v}\n\n return await MemoryComponent(**self.get_base_args()).set(**memory_kwargs).retrieve_messages()\n\n def get_llm(self):\n if isinstance(self.agent_llm, str):\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n return (\n self._build_llm_model(component_class, inputs, prefix),\n display_name,\n )\n except Exception as e:\n msg = f\"Error building {self.agent_llm} language model\"\n raise ValueError(msg) from e\n return self.agent_llm, None\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {input_.name: getattr(self, f\"{prefix}{input_.name}\") for input_ in inputs}\n\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n # Iterate over all providers in the MODEL_PROVIDERS_DICT\n # Existing logic for updating build_config\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call the component class's update_build_config method\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n # Reset input types for agent_llm\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS_DICT.keys()), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"system_prompt\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n # Call each component class's update_build_config method\n # remove the prefix from the field_name\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def to_toolkit(self) -> list[Tool]:\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n # TODO: Agent Description Depreciated Feature to be removed\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n return tools\n", |
| "fileTypes": [], |
| "file_path": "", |
| "password": false, |
| "name": "code", |
| "advanced": true, |
| "dynamic": true, |
| "info": "", |
| "load_from_db": false, |
| "title_case": false, |
| "input_types": [] |
| }, |
| "handle_parsing_errors": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "handle_parsing_errors", |
| "value": true, |
| "display_name": "Handle Parse Errors", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Should the Agent fix errors when reading user input for better processing?", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "input_value": { |
| "tool_mode": true, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "input_value", |
| "value": "", |
| "display_name": "Input", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The input provided by the user for the agent to process.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "max_iterations": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_iterations", |
| "value": 15, |
| "display_name": "Max Iterations", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum number of attempts the agent can make to complete its task before it stops.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "n_messages": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n_messages", |
| "value": 100, |
| "display_name": "Number of Messages", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of messages to retrieve.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "order": { |
| "tool_mode": true, |
| "trace_as_metadata": true, |
| "options": [ |
| "Ascending", |
| "Descending" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "order", |
| "value": "Ascending", |
| "display_name": "Order", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Order of the messages.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "Machine", |
| "User", |
| "Machine and User" |
| ], |
| "options_metadata": [], |
| "combobox": false, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender", |
| "value": "Machine and User", |
| "display_name": "Sender Type", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Filter by sender type.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "sender_name": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "sender_name", |
| "value": "", |
| "display_name": "Sender Name", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "Filter by sender name.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "session_id": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "session_id", |
| "value": "", |
| "display_name": "Session ID", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MessageTextInput" |
| }, |
| "system_prompt": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "system_prompt", |
| "value": "Use the recommendations to improve upon the original plan. Make sure to include constructivist activities.", |
| "display_name": "Agent Instructions", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "template": { |
| "tool_mode": false, |
| "trace_as_input": true, |
| "multiline": true, |
| "trace_as_metadata": true, |
| "load_from_db": false, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "template", |
| "value": "{sender_name}: {text}", |
| "display_name": "Template", |
| "advanced": true, |
| "input_types": [ |
| "Message" |
| ], |
| "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.", |
| "title_case": false, |
| "type": "str", |
| "_input_type": "MultilineInput" |
| }, |
| "verbose": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "verbose", |
| "value": true, |
| "display_name": "Verbose", |
| "advanced": true, |
| "dynamic": false, |
| "info": "", |
| "title_case": false, |
| "type": "bool", |
| "_input_type": "BoolInput", |
| "input_types": [] |
| }, |
| "max_output_tokens": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "max_output_tokens", |
| "value": "", |
| "display_name": "Max Output Tokens", |
| "advanced": false, |
| "dynamic": false, |
| "info": "The maximum number of tokens to generate.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
| }, |
| "model_name": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "options": [ |
| "learnlm-1.5-pro-experimental", |
| "gemini-pro-vision", |
| "gemini-pro", |
| "gemini-exp-1206", |
| "gemini-2.0-pro-exp-02-05", |
| "gemini-2.0-pro-exp", |
| "gemini-2.0-flash-thinking-exp-1219", |
| "gemini-2.0-flash-thinking-exp-01-21", |
| "gemini-2.0-flash-thinking-exp", |
| "gemini-2.0-flash-lite-preview-02-05", |
| "gemini-2.0-flash-lite-preview", |
| "gemini-2.0-flash-exp", |
| "gemini-2.0-flash-001", |
| "gemini-2.0-flash", |
| "gemini-1.5-pro-latest", |
| "gemini-1.5-pro-002", |
| "gemini-1.5-pro-001", |
| "gemini-1.5-pro", |
| "gemini-1.5-flash-latest", |
| "gemini-1.5-flash-8b-latest", |
| "gemini-1.5-flash-8b-exp-0924", |
| "gemini-1.5-flash-8b-exp-0827", |
| "gemini-1.5-flash-8b-001", |
| "gemini-1.5-flash-8b", |
| "gemini-1.5-flash-002", |
| "gemini-1.5-flash-001-tuning", |
| "gemini-1.5-flash-001", |
| "gemini-1.5-flash", |
| "gemini-1.0-pro-vision-latest", |
| "gemini-1.0-pro-latest", |
| "gemini-1.0-pro-001", |
| "gemini-1.0-pro" |
| ], |
| "options_metadata": [], |
| "combobox": true, |
| "dialog_inputs": {}, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "model_name", |
| "value": "gemini-2.0-flash", |
| "display_name": "Model", |
| "advanced": false, |
| "dynamic": false, |
| "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", |
| "real_time_refresh": false, |
| "refresh_button": true, |
| "title_case": false, |
| "type": "str", |
| "_input_type": "DropdownInput", |
| "input_types": [] |
| }, |
| "api_key": { |
| "load_from_db": false, |
| "required": true, |
| "placeholder": "", |
| "show": true, |
| "name": "api_key", |
| "value": "", |
| "display_name": "Google API Key", |
| "advanced": false, |
| "input_types": [ |
| "Message" |
| ], |
| "dynamic": false, |
| "info": "The Google API Key to use for the Google Generative AI.", |
| "real_time_refresh": true, |
| "title_case": false, |
| "password": true, |
| "type": "str", |
| "_input_type": "SecretStrInput" |
| }, |
| "top_p": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "top_p", |
| "value": "", |
| "display_name": "Top P", |
| "advanced": true, |
| "dynamic": false, |
| "info": "The maximum cumulative probability of tokens to consider when sampling.", |
| "title_case": false, |
| "type": "float", |
| "_input_type": "FloatInput", |
| "input_types": [] |
| }, |
| "temperature": { |
| "tool_mode": false, |
| "min_label": "", |
| "max_label": "", |
| "min_label_icon": "", |
| "max_label_icon": "", |
| "slider_buttons": false, |
| "slider_buttons_options": [], |
| "slider_input": false, |
| "range_spec": { |
| "step_type": "float", |
| "min": 0, |
| "max": 2, |
| "step": 0.01 |
| }, |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "temperature", |
| "value": 0.1, |
| "display_name": "Temperature", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Controls randomness. Lower values are more deterministic, higher values are more creative.", |
| "title_case": false, |
| "type": "slider", |
| "_input_type": "SliderInput", |
| "input_types": [] |
| }, |
| "n": { |
| "tool_mode": false, |
| "trace_as_metadata": true, |
| "list": false, |
| "list_add_label": "Add More", |
| "required": false, |
| "placeholder": "", |
| "show": true, |
| "name": "n", |
| "value": "", |
| "display_name": "N", |
| "advanced": true, |
| "dynamic": false, |
| "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", |
| "title_case": false, |
| "type": "int", |
| "_input_type": "IntInput", |
| "input_types": [] |
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