28c4e7365c* add outdated starter projects tests * add api keys loaded from db values * ✨ (Custom Component Generator.spec.ts): add initialGPTsetup function to setup GPT integration 📝 (Custom Component Generator.spec.ts): update test to handle existing API key and log a message if API key is already added
1661 lines
86 KiB
JSON
1661 lines
86 KiB
JSON
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"dataType": "ChatInput",
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}
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"id": "reactflow__edge-Agent-EPjLx{œdataTypeœ:œAgentœ,œidœ:œAgent-EPjLxœ,œnameœ:œresponseœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-x6tZi{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-x6tZiœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
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"source": "Agent-EPjLx",
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"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-x6tZiœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
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{
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"className": "",
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"data": {
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"sourceHandle": {
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"dataType": "CalculatorComponent",
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"id": "CalculatorComponent-zxpIu",
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"name": "component_as_tool",
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"output_types": ["Tool"]
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},
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"fieldName": "tools",
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"id": "Agent-EPjLx",
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"inputTypes": ["Tool"],
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"type": "other"
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}
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"id": "reactflow__edge-CalculatorComponent-zxpIu{œdataTypeœ:œCalculatorComponentœ,œidœ:œCalculatorComponent-zxpIuœ,œnameœ:œcomponent_as_toolœ,œoutput_typesœ:[œToolœ]}-Agent-EPjLx{œfieldNameœ:œtoolsœ,œidœ:œAgent-EPjLxœ,œinputTypesœ:[œToolœ],œtypeœ:œotherœ}",
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"source": "CalculatorComponent-zxpIu",
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"sourceHandle": "{œdataTypeœ: œCalculatorComponentœ, œidœ: œCalculatorComponent-zxpIuœ, œnameœ: œcomponent_as_toolœ, œoutput_typesœ: [œToolœ]}",
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"target": "Agent-EPjLx",
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"targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œAgent-EPjLxœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}"
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},
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{
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"className": "",
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"data": {
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"sourceHandle": {
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"dataType": "URL",
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"id": "URL-yM3pY",
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"name": "component_as_tool",
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"output_types": ["Tool"]
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},
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"targetHandle": {
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"fieldName": "tools",
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"id": "Agent-EPjLx",
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"inputTypes": ["Tool"],
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"type": "other"
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}
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},
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"id": "reactflow__edge-URL-yM3pY{œdataTypeœ:œURLœ,œidœ:œURL-yM3pYœ,œnameœ:œcomponent_as_toolœ,œoutput_typesœ:[œToolœ]}-Agent-EPjLx{œfieldNameœ:œtoolsœ,œidœ:œAgent-EPjLxœ,œinputTypesœ:[œToolœ],œtypeœ:œotherœ}",
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"source": "URL-yM3pY",
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"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-yM3pYœ, œnameœ: œcomponent_as_toolœ, œoutput_typesœ: [œToolœ]}",
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"target": "Agent-EPjLx",
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"targetHandle": "{œfieldNameœ: œtoolsœ, œidœ: œAgent-EPjLxœ, œinputTypesœ: [œToolœ], œtypeœ: œotherœ}"
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}
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],
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"nodes": [
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{
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"data": {
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"description": "Define the agent's instructions, then enter a task to complete using tools.",
|
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"display_name": "Agent",
|
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"id": "Agent-EPjLx",
|
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"node": {
|
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"base_classes": ["Message"],
|
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"beta": false,
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"conditional_paths": [],
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"custom_fields": {},
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"description": "Define the agent's instructions, then enter a task to complete using tools.",
|
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"display_name": "Agent",
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"documentation": "",
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"edited": false,
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"field_order": [
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"agent_llm",
|
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"max_tokens",
|
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"model_kwargs",
|
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"json_mode",
|
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"output_schema",
|
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"model_name",
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"openai_api_base",
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"api_key",
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"temperature",
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"seed",
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"output_parser",
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"system_prompt",
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"tools",
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"input_value",
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"handle_parsing_errors",
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"verbose",
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"max_iterations",
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"agent_description",
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"memory",
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"sender",
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"sender_name",
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"n_messages",
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"session_id",
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"order",
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"template",
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"add_current_date_tool"
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],
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"frozen": false,
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"icon": "bot",
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"legacy": false,
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"lf_version": "1.1.1",
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"metadata": {},
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"output_types": [],
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"outputs": [
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{
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"allows_loop": false,
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"cache": true,
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"display_name": "Response",
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"method": "message_response",
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"name": "response",
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"selected": "Message",
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"tool_mode": true,
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"types": ["Message"],
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"value": "__UNDEFINED__"
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}
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],
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"pinned": false,
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"template": {
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"_type": "Component",
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"add_current_date_tool": {
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"_input_type": "BoolInput",
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"advanced": true,
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"display_name": "Current Date",
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"dynamic": false,
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"info": "If true, will add a tool to the agent that returns the current date.",
|
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"list": false,
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"name": "add_current_date_tool",
|
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"placeholder": "",
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"required": false,
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"show": true,
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"title_case": false,
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"trace_as_metadata": true,
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"type": "bool",
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"value": true
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},
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"agent_description": {
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"_input_type": "MultilineInput",
|
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"advanced": true,
|
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"display_name": "Agent Description [Deprecated]",
|
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"dynamic": false,
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"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.",
|
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"input_types": ["Message"],
|
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"list": false,
|
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"load_from_db": false,
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"multiline": true,
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"name": "agent_description",
|
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"placeholder": "",
|
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"required": false,
|
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"show": true,
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"title_case": false,
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"tool_mode": false,
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"trace_as_input": true,
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"trace_as_metadata": true,
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"type": "str",
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"value": "A helpful assistant with access to the following tools:"
|
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},
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"agent_llm": {
|
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"_input_type": "DropdownInput",
|
|
"advanced": false,
|
|
"combobox": false,
|
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"display_name": "Model Provider",
|
|
"dynamic": false,
|
|
"info": "The provider of the language model that the agent will use to generate responses.",
|
|
"input_types": [],
|
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"name": "agent_llm",
|
|
"options": [
|
|
"Amazon Bedrock",
|
|
"Anthropic",
|
|
"Azure OpenAI",
|
|
"Google Generative AI",
|
|
"Groq",
|
|
"NVIDIA",
|
|
"OpenAI",
|
|
"SambaNova",
|
|
"Custom"
|
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],
|
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"placeholder": "",
|
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"real_time_refresh": true,
|
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"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "OpenAI"
|
|
},
|
|
"api_key": {
|
|
"_input_type": "SecretStrInput",
|
|
"advanced": false,
|
|
"display_name": "OpenAI API Key",
|
|
"dynamic": false,
|
|
"info": "The OpenAI API Key to use for the OpenAI model.",
|
|
"input_types": ["Message"],
|
|
"load_from_db": true,
|
|
"name": "api_key",
|
|
"password": true,
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|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "str",
|
|
"value": "OPENAI_API_KEY"
|
|
},
|
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"code": {
|
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"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
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"file_path": "",
|
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"info": "",
|
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"list": false,
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|
"load_from_db": false,
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"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "from langchain_core.tools import StructuredTool\n\nfrom langflow.base.agents.agent import LCToolsAgentComponent\nfrom langflow.base.agents.events import ExceptionWithMessageError\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 # Get LLM model and validate\n llm_model, display_name = self.get_llm()\n if llm_model is None:\n msg = \"No language model selected. Please choose a model to proceed.\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n\n # Get memory data\n self.chat_history = await self.get_memory_data()\n\n # Add current date tool if enabled\n if self.add_current_date_tool:\n if not isinstance(self.tools, list): # type: ignore[has-type]\n self.tools = []\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if not isinstance(current_date_tool, StructuredTool):\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n self.tools.append(current_date_tool)\n\n # Validate tools\n if not self.tools:\n msg = \"Tools are required to run the agent. Please add at least one tool.\"\n raise ValueError(msg)\n\n # Set up and run agent\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 return await self.run_agent(agent)\n\n except (ValueError, TypeError, KeyError) as e:\n logger.error(f\"{type(e).__name__}: {e!s}\")\n raise\n except ExceptionWithMessageError as e:\n logger.error(f\"ExceptionWithMessageError occurred: {e}\")\n raise\n except Exception as e:\n logger.error(f\"Unexpected error: {e!s}\")\n raise\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 not isinstance(self.agent_llm, str):\n return self.agent_llm, None\n\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if not provider_info:\n msg = f\"Invalid model provider: {self.agent_llm}\"\n raise ValueError(msg)\n\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\n return self._build_llm_model(component_class, inputs, prefix), display_name\n\n except Exception as e:\n logger.error(f\"Error building {self.agent_llm} language model: {e!s}\")\n msg = f\"Failed to initialize language model: {e!s}\"\n raise ValueError(msg) from e\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"
|
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},
|
|
"handle_parsing_errors": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Handle Parse Errors",
|
|
"dynamic": false,
|
|
"info": "Should the Agent fix errors when reading user input for better processing?",
|
|
"list": false,
|
|
"name": "handle_parsing_errors",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
},
|
|
"input_value": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": false,
|
|
"display_name": "Input",
|
|
"dynamic": false,
|
|
"info": "The input provided by the user for the agent to process.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": true,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"json_mode": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "JSON Mode",
|
|
"dynamic": false,
|
|
"info": "If True, it will output JSON regardless of passing a schema.",
|
|
"list": false,
|
|
"name": "json_mode",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": false
|
|
},
|
|
"max_iterations": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Iterations",
|
|
"dynamic": false,
|
|
"info": "The maximum number of attempts the agent can make to complete its task before it stops.",
|
|
"list": false,
|
|
"name": "max_iterations",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 15
|
|
},
|
|
"max_retries": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Retries",
|
|
"dynamic": false,
|
|
"info": "The maximum number of retries to make when generating.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "max_retries",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 5
|
|
},
|
|
"max_tokens": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Max Tokens",
|
|
"dynamic": false,
|
|
"info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
|
|
"list": false,
|
|
"name": "max_tokens",
|
|
"placeholder": "",
|
|
"range_spec": {
|
|
"max": 128000,
|
|
"min": 0,
|
|
"step": 0.1,
|
|
"step_type": "float"
|
|
},
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": ""
|
|
},
|
|
"memory": {
|
|
"_input_type": "HandleInput",
|
|
"advanced": true,
|
|
"display_name": "External Memory",
|
|
"dynamic": false,
|
|
"info": "Retrieve messages from an external memory. If empty, it will use the Langflow tables.",
|
|
"input_types": ["Memory"],
|
|
"list": false,
|
|
"name": "memory",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "other",
|
|
"value": ""
|
|
},
|
|
"model_kwargs": {
|
|
"_input_type": "DictInput",
|
|
"advanced": true,
|
|
"display_name": "Model Kwargs",
|
|
"dynamic": false,
|
|
"info": "Additional keyword arguments to pass to the model.",
|
|
"list": false,
|
|
"name": "model_kwargs",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_input": true,
|
|
"type": "dict",
|
|
"value": {}
|
|
},
|
|
"model_name": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": false,
|
|
"combobox": true,
|
|
"display_name": "Model Name",
|
|
"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.",
|
|
"name": "model_name",
|
|
"options": [
|
|
"gpt-4o-mini",
|
|
"gpt-4o",
|
|
"gpt-4-turbo",
|
|
"gpt-4-turbo-preview",
|
|
"gpt-4",
|
|
"gpt-3.5-turbo",
|
|
"gpt-3.5-turbo-0125"
|
|
],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "gpt-4o-mini"
|
|
},
|
|
"n_messages": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Number of Messages",
|
|
"dynamic": false,
|
|
"info": "Number of messages to retrieve.",
|
|
"list": false,
|
|
"name": "n_messages",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 100
|
|
},
|
|
"openai_api_base": {
|
|
"_input_type": "StrInput",
|
|
"advanced": true,
|
|
"display_name": "OpenAI API Base",
|
|
"dynamic": false,
|
|
"info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "openai_api_base",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"order": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"display_name": "Order",
|
|
"dynamic": false,
|
|
"info": "Order of the messages.",
|
|
"name": "order",
|
|
"options": ["Ascending", "Descending"],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Ascending"
|
|
},
|
|
"seed": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Seed",
|
|
"dynamic": false,
|
|
"info": "The seed controls the reproducibility of the job.",
|
|
"list": false,
|
|
"name": "seed",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 1
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Filter by sender type.",
|
|
"name": "sender",
|
|
"options": ["Machine", "User", "Machine and User"],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Machine and User"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Filter by sender name.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"system_prompt": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": false,
|
|
"display_name": "Agent Instructions",
|
|
"dynamic": false,
|
|
"info": "System Prompt: Initial instructions and context provided to guide the agent's behavior.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "system_prompt",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "You are a helpful assistant that can use tools to answer questions and perform tasks.\nUse markdown to format your answer, properly embedding images and urls."
|
|
},
|
|
"temperature": {
|
|
"_input_type": "FloatInput",
|
|
"advanced": true,
|
|
"display_name": "Temperature",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"list": false,
|
|
"name": "temperature",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "float",
|
|
"value": 0.1
|
|
},
|
|
"template": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": true,
|
|
"display_name": "Template",
|
|
"dynamic": false,
|
|
"info": "The template to use for formatting the data. It can contain the keys {text}, {sender} or any other key in the message data.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "template",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "{sender_name}: {text}"
|
|
},
|
|
"timeout": {
|
|
"_input_type": "IntInput",
|
|
"advanced": true,
|
|
"display_name": "Timeout",
|
|
"dynamic": false,
|
|
"info": "The timeout for requests to OpenAI completion API.",
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"name": "timeout",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "int",
|
|
"value": 700
|
|
},
|
|
"tools": {
|
|
"_input_type": "HandleInput",
|
|
"advanced": false,
|
|
"display_name": "Tools",
|
|
"dynamic": false,
|
|
"info": "These are the tools that the agent can use to help with tasks.",
|
|
"input_types": ["Tool"],
|
|
"list": true,
|
|
"name": "tools",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "other",
|
|
"value": ""
|
|
},
|
|
"verbose": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Verbose",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"list": false,
|
|
"name": "verbose",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
}
|
|
},
|
|
"tool_mode": false
|
|
},
|
|
"type": "Agent"
|
|
},
|
|
"dragging": false,
|
|
"id": "Agent-EPjLx",
|
|
"measured": {
|
|
"height": 621,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 1652.2479633316434,
|
|
"y": 297.9085084144251
|
|
},
|
|
"selected": false,
|
|
"type": "genericNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"id": "ChatInput-vSKY8",
|
|
"node": {
|
|
"base_classes": ["Message"],
|
|
"beta": false,
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
|
"description": "Get chat inputs from the Playground.",
|
|
"display_name": "Chat Input",
|
|
"documentation": "",
|
|
"edited": false,
|
|
"field_order": [
|
|
"input_value",
|
|
"should_store_message",
|
|
"sender",
|
|
"sender_name",
|
|
"session_id",
|
|
"files",
|
|
"background_color",
|
|
"chat_icon",
|
|
"text_color"
|
|
],
|
|
"frozen": false,
|
|
"icon": "MessagesSquare",
|
|
"legacy": false,
|
|
"lf_version": "1.1.1",
|
|
"metadata": {},
|
|
"output_types": [],
|
|
"outputs": [
|
|
{
|
|
"allows_loop": false,
|
|
"cache": true,
|
|
"display_name": "Message",
|
|
"method": "message_response",
|
|
"name": "message",
|
|
"selected": "Message",
|
|
"tool_mode": true,
|
|
"types": ["Message"],
|
|
"value": "__UNDEFINED__"
|
|
}
|
|
],
|
|
"pinned": false,
|
|
"template": {
|
|
"_type": "Component",
|
|
"background_color": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Background Color",
|
|
"dynamic": false,
|
|
"info": "The background color of the icon.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "background_color",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"chat_icon": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Icon",
|
|
"dynamic": false,
|
|
"info": "The icon of the message.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "chat_icon",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "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"
|
|
},
|
|
"files": {
|
|
"_input_type": "FileInput",
|
|
"advanced": true,
|
|
"display_name": "Files",
|
|
"dynamic": false,
|
|
"fileTypes": [
|
|
"txt",
|
|
"md",
|
|
"mdx",
|
|
"csv",
|
|
"json",
|
|
"yaml",
|
|
"yml",
|
|
"xml",
|
|
"html",
|
|
"htm",
|
|
"pdf",
|
|
"docx",
|
|
"py",
|
|
"sh",
|
|
"sql",
|
|
"js",
|
|
"ts",
|
|
"tsx",
|
|
"jpg",
|
|
"jpeg",
|
|
"png",
|
|
"bmp",
|
|
"image"
|
|
],
|
|
"file_path": "",
|
|
"info": "Files to be sent with the message.",
|
|
"list": true,
|
|
"name": "files",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "file",
|
|
"value": ""
|
|
},
|
|
"input_value": {
|
|
"_input_type": "MultilineInput",
|
|
"advanced": false,
|
|
"display_name": "Text",
|
|
"dynamic": false,
|
|
"info": "Message to be passed as input.",
|
|
"input_types": [],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Type of sender.",
|
|
"name": "sender",
|
|
"options": ["Machine", "User"],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "User"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Name of the sender.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "User"
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"should_store_message": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Store Messages",
|
|
"dynamic": false,
|
|
"info": "Store the message in the history.",
|
|
"list": false,
|
|
"name": "should_store_message",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
},
|
|
"text_color": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Text Color",
|
|
"dynamic": false,
|
|
"info": "The text color of the name",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "text_color",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
}
|
|
},
|
|
"tool_mode": false
|
|
},
|
|
"type": "ChatInput"
|
|
},
|
|
"dragging": false,
|
|
"id": "ChatInput-vSKY8",
|
|
"measured": {
|
|
"height": 229,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 1241.9566260691947,
|
|
"y": 930.7462715570136
|
|
},
|
|
"selected": false,
|
|
"type": "genericNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"description": "Display a chat message in the Playground.",
|
|
"display_name": "Chat Output",
|
|
"id": "ChatOutput-x6tZi",
|
|
"node": {
|
|
"base_classes": ["Message"],
|
|
"beta": false,
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
|
"description": "Display a chat message in the Playground.",
|
|
"display_name": "Chat Output",
|
|
"documentation": "",
|
|
"edited": false,
|
|
"field_order": [
|
|
"input_value",
|
|
"should_store_message",
|
|
"sender",
|
|
"sender_name",
|
|
"session_id",
|
|
"data_template",
|
|
"background_color",
|
|
"chat_icon",
|
|
"text_color"
|
|
],
|
|
"frozen": false,
|
|
"icon": "MessagesSquare",
|
|
"legacy": false,
|
|
"lf_version": "1.1.1",
|
|
"metadata": {},
|
|
"output_types": [],
|
|
"outputs": [
|
|
{
|
|
"allows_loop": false,
|
|
"cache": true,
|
|
"display_name": "Message",
|
|
"method": "message_response",
|
|
"name": "message",
|
|
"selected": "Message",
|
|
"tool_mode": true,
|
|
"types": ["Message"],
|
|
"value": "__UNDEFINED__"
|
|
}
|
|
],
|
|
"pinned": false,
|
|
"template": {
|
|
"_type": "Component",
|
|
"background_color": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Background Color",
|
|
"dynamic": false,
|
|
"info": "The background color of the icon.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "background_color",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"chat_icon": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Icon",
|
|
"dynamic": false,
|
|
"info": "The icon of the message.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "chat_icon",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "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"
|
|
},
|
|
"data_template": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Data Template",
|
|
"dynamic": false,
|
|
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "data_template",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "{text}"
|
|
},
|
|
"input_value": {
|
|
"_input_type": "MessageInput",
|
|
"advanced": false,
|
|
"display_name": "Text",
|
|
"dynamic": false,
|
|
"info": "Message to be passed as output.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "input_value",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"sender": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": true,
|
|
"combobox": false,
|
|
"display_name": "Sender Type",
|
|
"dynamic": false,
|
|
"info": "Type of sender.",
|
|
"name": "sender",
|
|
"options": ["Machine", "User"],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Machine"
|
|
},
|
|
"sender_name": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Sender Name",
|
|
"dynamic": false,
|
|
"info": "Name of the sender.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "sender_name",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "AI"
|
|
},
|
|
"session_id": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Session ID",
|
|
"dynamic": false,
|
|
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "session_id",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"should_store_message": {
|
|
"_input_type": "BoolInput",
|
|
"advanced": true,
|
|
"display_name": "Store Messages",
|
|
"dynamic": false,
|
|
"info": "Store the message in the history.",
|
|
"list": false,
|
|
"name": "should_store_message",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"trace_as_metadata": true,
|
|
"type": "bool",
|
|
"value": true
|
|
},
|
|
"text_color": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": true,
|
|
"display_name": "Text Color",
|
|
"dynamic": false,
|
|
"info": "The text color of the name",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"name": "text_color",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
}
|
|
},
|
|
"tool_mode": false
|
|
},
|
|
"type": "ChatOutput"
|
|
},
|
|
"id": "ChatOutput-x6tZi",
|
|
"measured": {
|
|
"height": 229,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 2029.726227044409,
|
|
"y": 521.9624030396819
|
|
},
|
|
"selected": false,
|
|
"type": "genericNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"description": "Load and retrive data from specified URLs.",
|
|
"display_name": "URL",
|
|
"id": "URL-yM3pY",
|
|
"node": {
|
|
"base_classes": ["Data", "DataFrame", "Message"],
|
|
"beta": false,
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
|
"description": "Load and retrive data from specified URLs.",
|
|
"display_name": "URL",
|
|
"documentation": "",
|
|
"edited": false,
|
|
"field_order": ["urls", "format"],
|
|
"frozen": false,
|
|
"icon": "layout-template",
|
|
"legacy": false,
|
|
"metadata": {},
|
|
"minimized": false,
|
|
"output_types": [],
|
|
"outputs": [
|
|
{
|
|
"cache": true,
|
|
"display_name": "Toolset",
|
|
"hidden": null,
|
|
"method": "to_toolkit",
|
|
"name": "component_as_tool",
|
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"required_inputs": null,
|
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"selected": "Tool",
|
|
"types": ["Tool"],
|
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"value": "__UNDEFINED__"
|
|
}
|
|
],
|
|
"pinned": false,
|
|
"template": {
|
|
"_type": "Component",
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "import re\n\nfrom langchain_community.document_loaders import AsyncHtmlLoader, WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema import Data\nfrom langflow.schema.dataframe import DataFrame\nfrom langflow.schema.message import Message\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Load and retrive data from specified URLs.\"\n icon = \"layout-template\"\n name = \"URL\"\n\n inputs = [\n MessageTextInput(\n name=\"urls\",\n display_name=\"URLs\",\n is_list=True,\n tool_mode=True,\n placeholder=\"Enter a URL...\",\n list_add_label=\"Add URL\",\n ),\n DropdownInput(\n name=\"format\",\n display_name=\"Output Format\",\n info=\"Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.\",\n options=[\"Text\", \"Raw HTML\"],\n value=\"Text\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n Output(display_name=\"Message\", name=\"text\", method=\"fetch_content_text\"),\n Output(display_name=\"DataFrame\", name=\"dataframe\", method=\"as_dataframe\"),\n ]\n\n def ensure_url(self, string: str) -> str:\n \"\"\"Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n\n Raises an error if the string is not a valid URL.\n\n Parameters:\n string (str): The string to be checked and possibly modified.\n\n Returns:\n str: The modified string that is ensured to be a URL.\n\n Raises:\n ValueError: If the string is not a valid URL.\n \"\"\"\n if not string.startswith((\"http://\", \"https://\")):\n string = \"http://\" + string\n\n # Basic URL validation regex\n url_regex = re.compile(\n r\"^(https?:\\/\\/)?\" # optional protocol\n r\"(www\\.)?\" # optional www\n r\"([a-zA-Z0-9.-]+)\" # domain\n r\"(\\.[a-zA-Z]{2,})?\" # top-level domain\n r\"(:\\d+)?\" # optional port\n r\"(\\/[^\\s]*)?$\", # optional path\n re.IGNORECASE,\n )\n\n if not url_regex.match(string):\n msg = f\"Invalid URL: {string}\"\n raise ValueError(msg)\n\n return string\n\n def fetch_content(self) -> list[Data]:\n urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n if self.format == \"Raw HTML\":\n loader = AsyncHtmlLoader(web_path=urls, encoding=\"utf-8\")\n else:\n loader = WebBaseLoader(web_paths=urls, encoding=\"utf-8\")\n docs = loader.load()\n data = [Data(text=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n\n def fetch_content_text(self) -> Message:\n data = self.fetch_content()\n\n result_string = data_to_text(\"{text}\", data)\n self.status = result_string\n return Message(text=result_string)\n\n def as_dataframe(self) -> DataFrame:\n return DataFrame(self.fetch_content())\n"
|
|
},
|
|
"format": {
|
|
"_input_type": "DropdownInput",
|
|
"advanced": false,
|
|
"combobox": false,
|
|
"display_name": "Output Format",
|
|
"dynamic": false,
|
|
"info": "Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.",
|
|
"name": "format",
|
|
"options": ["Text", "Raw HTML"],
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": "Text"
|
|
},
|
|
"tools_metadata": {
|
|
"_input_type": "TableInput",
|
|
"advanced": false,
|
|
"display_name": "Edit tools",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"is_list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "tools_metadata",
|
|
"placeholder": "",
|
|
"real_time_refresh": true,
|
|
"required": false,
|
|
"show": true,
|
|
"table_icon": "Hammer",
|
|
"table_options": {
|
|
"block_add": true,
|
|
"block_delete": true,
|
|
"block_edit": true,
|
|
"block_filter": true,
|
|
"block_hide": true,
|
|
"block_select": true,
|
|
"block_sort": true,
|
|
"description": "Modify tool names and descriptions to help agents understand when to use each tool.",
|
|
"field_parsers": {
|
|
"commands": "commands",
|
|
"name": ["snake_case", "no_blank"]
|
|
},
|
|
"hide_options": true
|
|
},
|
|
"table_schema": {
|
|
"columns": [
|
|
{
|
|
"description": "Specify the name of the tool.",
|
|
"disable_edit": false,
|
|
"display_name": "Tool Name",
|
|
"edit_mode": "inline",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "name",
|
|
"sortable": false,
|
|
"type": "text"
|
|
},
|
|
{
|
|
"description": "Describe the purpose of the tool.",
|
|
"disable_edit": false,
|
|
"display_name": "Tool Description",
|
|
"edit_mode": "popover",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "description",
|
|
"sortable": false,
|
|
"type": "text"
|
|
},
|
|
{
|
|
"description": "The default identifiers for the tools and cannot be changed.",
|
|
"disable_edit": true,
|
|
"display_name": "Tool Identifiers",
|
|
"edit_mode": "inline",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "tags",
|
|
"sortable": false,
|
|
"type": "text"
|
|
}
|
|
]
|
|
},
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"trigger_icon": "Hammer",
|
|
"trigger_text": "",
|
|
"type": "table",
|
|
"value": [
|
|
{
|
|
"description": "fetch_content() - Load and retrive data from specified URLs.",
|
|
"name": "URL-fetch_content",
|
|
"tags": ["URL-fetch_content"]
|
|
},
|
|
{
|
|
"description": "fetch_content_text() - Load and retrive data from specified URLs.",
|
|
"name": "URL-fetch_content_text",
|
|
"tags": ["URL-fetch_content_text"]
|
|
},
|
|
{
|
|
"description": "as_dataframe() - Load and retrive data from specified URLs.",
|
|
"name": "URL-as_dataframe",
|
|
"tags": ["URL-as_dataframe"]
|
|
}
|
|
]
|
|
},
|
|
"urls": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": false,
|
|
"display_name": "URLs",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"input_types": ["Message"],
|
|
"list": true,
|
|
"list_add_label": "Add URL",
|
|
"load_from_db": false,
|
|
"name": "urls",
|
|
"placeholder": "Enter a URL...",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": true,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
}
|
|
},
|
|
"tool_mode": true
|
|
},
|
|
"type": "URL"
|
|
},
|
|
"dragging": false,
|
|
"id": "URL-yM3pY",
|
|
"measured": {
|
|
"height": 403,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 1225.8773509111968,
|
|
"y": 27.333577318641687
|
|
},
|
|
"selected": false,
|
|
"type": "genericNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"id": "note-Zo71g",
|
|
"node": {
|
|
"description": "# 📖 README\nRun an Agent with URL and Calculator tools available for its use. \nThe Agent decides which tool to use to solve a problem.\n## Quick start\n\n1. Add your OpenAI API key to the Agent.\n2. Open the Playground and chat with the Agent. Request some information about a recipe, and then ask to add two numbers together. In the responses, the Agent will use different tools to solve different problems.\n\n## Next steps\nConnect more tools to the Agent to create your perfect assistant.\n\nFor more, see the [Langflow docs](https://docs.langflow.org/agents-tool-calling-agent-component).",
|
|
"display_name": "",
|
|
"documentation": "",
|
|
"template": {
|
|
"backgroundColor": "neutral"
|
|
}
|
|
},
|
|
"type": "note"
|
|
},
|
|
"dragging": false,
|
|
"id": "note-Zo71g",
|
|
"measured": {
|
|
"height": 324,
|
|
"width": 324
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|
},
|
|
"position": {
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|
"x": 775.5268622081468,
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"y": 27.927425537464444
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},
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"selected": true,
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"type": "noteNode"
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|
},
|
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{
|
|
"data": {
|
|
"id": "note-enlN0",
|
|
"node": {
|
|
"description": "### 💡 Add your OpenAI API key here👇",
|
|
"display_name": "",
|
|
"documentation": "",
|
|
"template": {
|
|
"backgroundColor": "transparent"
|
|
}
|
|
},
|
|
"type": "note"
|
|
},
|
|
"id": "note-enlN0",
|
|
"measured": {
|
|
"height": 698,
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"width": 324
|
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},
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"position": {
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|
"x": 1648.6876745095624,
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"y": 253.8646618156497
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},
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"selected": false,
|
|
"type": "noteNode"
|
|
},
|
|
{
|
|
"data": {
|
|
"id": "CalculatorComponent-zxpIu",
|
|
"node": {
|
|
"base_classes": ["Data"],
|
|
"beta": false,
|
|
"category": "tools",
|
|
"conditional_paths": [],
|
|
"custom_fields": {},
|
|
"description": "Perform basic arithmetic operations on a given expression.",
|
|
"display_name": "Calculator",
|
|
"documentation": "",
|
|
"edited": false,
|
|
"field_order": ["expression"],
|
|
"frozen": false,
|
|
"icon": "calculator",
|
|
"key": "CalculatorComponent",
|
|
"legacy": false,
|
|
"lf_version": "1.1.1",
|
|
"metadata": {},
|
|
"minimized": false,
|
|
"output_types": [],
|
|
"outputs": [
|
|
{
|
|
"allows_loop": false,
|
|
"cache": true,
|
|
"display_name": "Toolset",
|
|
"hidden": null,
|
|
"method": "to_toolkit",
|
|
"name": "component_as_tool",
|
|
"required_inputs": null,
|
|
"selected": "Tool",
|
|
"types": ["Tool"],
|
|
"value": "__UNDEFINED__"
|
|
}
|
|
],
|
|
"pinned": false,
|
|
"score": 0.001,
|
|
"template": {
|
|
"_type": "Component",
|
|
"code": {
|
|
"advanced": true,
|
|
"dynamic": true,
|
|
"fileTypes": [],
|
|
"file_path": "",
|
|
"info": "",
|
|
"list": false,
|
|
"load_from_db": false,
|
|
"multiline": true,
|
|
"name": "code",
|
|
"password": false,
|
|
"placeholder": "",
|
|
"required": true,
|
|
"show": true,
|
|
"title_case": false,
|
|
"type": "code",
|
|
"value": "import ast\nimport operator\nfrom collections.abc import Callable\n\nfrom langflow.custom import Component\nfrom langflow.inputs import MessageTextInput\nfrom langflow.io import Output\nfrom langflow.schema import Data\n\n\nclass CalculatorComponent(Component):\n display_name = \"Calculator\"\n description = \"Perform basic arithmetic operations on a given expression.\"\n icon = \"calculator\"\n\n # Cache operators dictionary as a class variable\n OPERATORS: dict[type[ast.operator], Callable] = {\n ast.Add: operator.add,\n ast.Sub: operator.sub,\n ast.Mult: operator.mul,\n ast.Div: operator.truediv,\n ast.Pow: operator.pow,\n }\n\n inputs = [\n MessageTextInput(\n name=\"expression\",\n display_name=\"Expression\",\n info=\"The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').\",\n tool_mode=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"result\", type_=Data, method=\"evaluate_expression\"),\n ]\n\n def _eval_expr(self, node: ast.AST) -> float:\n \"\"\"Evaluate an AST node recursively.\"\"\"\n if isinstance(node, ast.Constant):\n if isinstance(node.value, int | float):\n return float(node.value)\n error_msg = f\"Unsupported constant type: {type(node.value).__name__}\"\n raise TypeError(error_msg)\n if isinstance(node, ast.Num): # For backwards compatibility\n if isinstance(node.n, int | float):\n return float(node.n)\n error_msg = f\"Unsupported number type: {type(node.n).__name__}\"\n raise TypeError(error_msg)\n\n if isinstance(node, ast.BinOp):\n op_type = type(node.op)\n if op_type not in self.OPERATORS:\n error_msg = f\"Unsupported binary operator: {op_type.__name__}\"\n raise TypeError(error_msg)\n\n left = self._eval_expr(node.left)\n right = self._eval_expr(node.right)\n return self.OPERATORS[op_type](left, right)\n\n error_msg = f\"Unsupported operation or expression type: {type(node).__name__}\"\n raise TypeError(error_msg)\n\n def evaluate_expression(self) -> Data:\n \"\"\"Evaluate the mathematical expression and return the result.\"\"\"\n try:\n tree = ast.parse(self.expression, mode=\"eval\")\n result = self._eval_expr(tree.body)\n\n formatted_result = f\"{float(result):.6f}\".rstrip(\"0\").rstrip(\".\")\n self.log(f\"Calculation result: {formatted_result}\")\n\n self.status = formatted_result\n return Data(data={\"result\": formatted_result})\n\n except ZeroDivisionError:\n error_message = \"Error: Division by zero\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:\n error_message = f\"Invalid expression: {e!s}\"\n self.status = error_message\n return Data(data={\"error\": error_message, \"input\": self.expression})\n\n def build(self):\n \"\"\"Return the main evaluation function.\"\"\"\n return self.evaluate_expression\n"
|
|
},
|
|
"expression": {
|
|
"_input_type": "MessageTextInput",
|
|
"advanced": false,
|
|
"display_name": "Expression",
|
|
"dynamic": false,
|
|
"info": "The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').",
|
|
"input_types": ["Message"],
|
|
"list": false,
|
|
"list_add_label": "Add More",
|
|
"load_from_db": false,
|
|
"name": "expression",
|
|
"placeholder": "",
|
|
"required": false,
|
|
"show": true,
|
|
"title_case": false,
|
|
"tool_mode": true,
|
|
"trace_as_input": true,
|
|
"trace_as_metadata": true,
|
|
"type": "str",
|
|
"value": ""
|
|
},
|
|
"tools_metadata": {
|
|
"_input_type": "TableInput",
|
|
"advanced": false,
|
|
"display_name": "Edit tools",
|
|
"dynamic": false,
|
|
"info": "",
|
|
"is_list": true,
|
|
"list_add_label": "Add More",
|
|
"name": "tools_metadata",
|
|
"placeholder": "",
|
|
"real_time_refresh": true,
|
|
"required": false,
|
|
"show": true,
|
|
"table_icon": "Hammer",
|
|
"table_options": {
|
|
"block_add": true,
|
|
"block_delete": true,
|
|
"block_edit": true,
|
|
"block_filter": true,
|
|
"block_hide": true,
|
|
"block_select": true,
|
|
"block_sort": true,
|
|
"description": "Modify tool names and descriptions to help agents understand when to use each tool.",
|
|
"field_parsers": {
|
|
"commands": "commands",
|
|
"name": ["snake_case", "no_blank"]
|
|
},
|
|
"hide_options": true
|
|
},
|
|
"table_schema": {
|
|
"columns": [
|
|
{
|
|
"description": "Specify the name of the tool.",
|
|
"disable_edit": false,
|
|
"display_name": "Tool Name",
|
|
"edit_mode": "inline",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "name",
|
|
"sortable": false,
|
|
"type": "text"
|
|
},
|
|
{
|
|
"description": "Describe the purpose of the tool.",
|
|
"disable_edit": false,
|
|
"display_name": "Tool Description",
|
|
"edit_mode": "popover",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "description",
|
|
"sortable": false,
|
|
"type": "text"
|
|
},
|
|
{
|
|
"description": "The default identifiers for the tools and cannot be changed.",
|
|
"disable_edit": true,
|
|
"display_name": "Tool Identifiers",
|
|
"edit_mode": "inline",
|
|
"filterable": false,
|
|
"formatter": "text",
|
|
"name": "tags",
|
|
"sortable": false,
|
|
"type": "text"
|
|
}
|
|
]
|
|
},
|
|
"title_case": false,
|
|
"tool_mode": false,
|
|
"trace_as_metadata": true,
|
|
"trigger_icon": "Hammer",
|
|
"trigger_text": "",
|
|
"type": "table",
|
|
"value": [
|
|
{
|
|
"description": "evaluate_expression() - Perform basic arithmetic operations on a given expression.",
|
|
"name": "None-evaluate_expression",
|
|
"tags": ["None-evaluate_expression"]
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"tool_mode": true
|
|
},
|
|
"showNode": true,
|
|
"type": "CalculatorComponent"
|
|
},
|
|
"dragging": false,
|
|
"id": "CalculatorComponent-zxpIu",
|
|
"measured": {
|
|
"height": 333,
|
|
"width": 320
|
|
},
|
|
"position": {
|
|
"x": 1233.166256931297,
|
|
"y": 514.7544001650839
|
|
},
|
|
"selected": false,
|
|
"type": "genericNode"
|
|
}
|
|
],
|
|
"viewport": {
|
|
"x": 528.5325055091846,
|
|
"y": 51.2172319875898,
|
|
"zoom": 0.12508906569071757
|
|
}
|
|
},
|
|
"description": "A simple but powerful starter agent.",
|
|
"endpoint_name": null,
|
|
"id": "263070d6-3560-4f4d-a6c4-003f4a586e6e",
|
|
"is_component": false,
|
|
"last_tested_version": "1.1.1",
|
|
"name": "Simple Agent",
|
|
"tags": ["assistants", "agents"]
|
|
}
|