848 lines
37 KiB
JSON
848 lines
37 KiB
JSON
{
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"description": "An email reply HITL (human in the loop) agent that can proceed or refine the email with user input",
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"usecases": ["Human In Loop"],
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"nodes": [
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{
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"id": "startAgentflow_0",
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"type": "agentFlow",
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"position": {
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"x": -212.0817769699585,
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"y": 95.2304753249555
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},
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"data": {
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"id": "startAgentflow_0",
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"label": "Start",
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"version": 1,
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"name": "startAgentflow",
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"type": "Start",
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"color": "#7EE787",
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"hideInput": true,
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"baseClasses": ["Start"],
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"category": "Agent Flows",
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"description": "Starting point of the agentflow",
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"inputParams": [
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{
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"label": "Input Type",
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"name": "startInputType",
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"type": "options",
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"options": [
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{
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"label": "Chat Input",
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"name": "chatInput",
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"description": "Start the conversation with chat input"
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},
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{
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"label": "Form Input",
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"name": "formInput",
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"description": "Start the workflow with form inputs"
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}
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],
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"default": "chatInput",
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"id": "startAgentflow_0-input-startInputType-options",
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"display": true
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},
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{
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"label": "Form Title",
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"name": "formTitle",
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"type": "string",
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"placeholder": "Please Fill Out The Form",
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"show": {
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"startInputType": "formInput"
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},
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"id": "startAgentflow_0-input-formTitle-string",
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"display": false
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},
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{
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"label": "Form Description",
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"name": "formDescription",
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"type": "string",
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"placeholder": "Complete all fields below to continue",
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"show": {
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"startInputType": "formInput"
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},
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"id": "startAgentflow_0-input-formDescription-string",
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"display": false
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},
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{
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"label": "Form Input Types",
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"name": "formInputTypes",
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"description": "Specify the type of form input",
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"type": "array",
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"show": {
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"startInputType": "formInput"
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},
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"array": [
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|
{
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|
"label": "Type",
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"name": "type",
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|
"type": "options",
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|
"options": [
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{
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"label": "String",
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"name": "string"
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},
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{
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"label": "Number",
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"name": "number"
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},
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{
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"label": "Boolean",
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"name": "boolean"
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},
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{
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"label": "Options",
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"name": "options"
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}
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],
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"default": "string"
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},
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{
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"label": "Label",
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"name": "label",
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"type": "string",
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"placeholder": "Label for the input"
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},
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{
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"label": "Variable Name",
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"name": "name",
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"type": "string",
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"placeholder": "Variable name for the input (must be camel case)",
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"description": "Variable name must be camel case. For example: firstName, lastName, etc."
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},
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{
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"label": "Add Options",
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"name": "addOptions",
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"type": "array",
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"show": {
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"formInputTypes[$index].type": "options"
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},
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"array": [
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|
{
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"label": "Option",
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"name": "option",
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"type": "string"
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}
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]
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}
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],
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"id": "startAgentflow_0-input-formInputTypes-array",
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"display": false
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},
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{
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"label": "Ephemeral Memory",
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"name": "startEphemeralMemory",
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"type": "boolean",
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"description": "Start fresh for every execution without past chat history",
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"optional": true
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},
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{
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"label": "Flow State",
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"name": "startState",
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"description": "Runtime state during the execution of the workflow",
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"type": "array",
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"optional": true,
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"array": [
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{
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"label": "Key",
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|
"name": "key",
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"type": "string",
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"placeholder": "Foo"
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},
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{
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"label": "Value",
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"name": "value",
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"type": "string",
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"placeholder": "Bar"
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}
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],
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"id": "startAgentflow_0-input-startState-array",
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"display": true
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}
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],
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"inputAnchors": [],
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"inputs": {
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"startInputType": "chatInput",
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"formTitle": "",
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"formDescription": "",
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"formInputTypes": "",
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"startState": ""
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},
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"outputAnchors": [
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{
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"id": "startAgentflow_0-output-startAgentflow",
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"label": "Start",
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"name": "startAgentflow"
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}
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],
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"outputs": {},
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"selected": false
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},
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"width": 101,
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"height": 65,
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"selected": false,
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|
"positionAbsolute": {
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"x": -212.0817769699585,
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"y": 95.2304753249555
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},
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"dragging": false
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},
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{
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"id": "agentAgentflow_0",
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"position": {
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"x": -62.25,
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"y": 76
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},
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"data": {
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"id": "agentAgentflow_0",
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"label": "Email Reply Agent",
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"version": 1,
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"name": "agentAgentflow",
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"type": "Agent",
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"color": "#4DD0E1",
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"baseClasses": ["Agent"],
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"category": "Agent Flows",
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"description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
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"inputParams": [
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{
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"label": "Model",
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"name": "agentModel",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"loadConfig": true,
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"id": "agentAgentflow_0-input-agentModel-asyncOptions",
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"display": true
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},
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{
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"label": "Messages",
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"name": "agentMessages",
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"type": "array",
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"optional": true,
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"acceptVariable": true,
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"array": [
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{
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"label": "Role",
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"name": "role",
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"type": "options",
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"options": [
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{
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"label": "System",
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"name": "system"
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},
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{
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"label": "Assistant",
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"name": "assistant"
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},
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{
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"label": "Developer",
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"name": "developer"
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},
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{
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"label": "User",
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"name": "user"
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}
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]
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},
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{
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"label": "Content",
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"name": "content",
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"type": "string",
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"acceptVariable": true,
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"generateInstruction": true,
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"rows": 4
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}
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],
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"id": "agentAgentflow_0-input-agentMessages-array",
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"display": true
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},
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{
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"label": "Tools",
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"name": "agentTools",
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"type": "array",
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"optional": true,
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"array": [
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{
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"label": "Tool",
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"name": "agentSelectedTool",
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"type": "asyncOptions",
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"loadMethod": "listTools",
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"loadConfig": true
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},
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{
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"label": "Require Human Input",
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"name": "agentSelectedToolRequiresHumanInput",
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"type": "boolean",
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"optional": true
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}
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],
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"id": "agentAgentflow_0-input-agentTools-array",
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"display": true
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},
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{
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"label": "Knowledge (Document Stores)",
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"name": "agentKnowledgeDocumentStores",
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"type": "array",
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"description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
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"array": [
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{
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"label": "Document Store",
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"name": "documentStore",
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"type": "asyncOptions",
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"loadMethod": "listStores"
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},
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{
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"label": "Describe Knowledge",
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"name": "docStoreDescription",
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"type": "string",
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"generateDocStoreDescription": true,
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"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
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"rows": 4
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},
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true
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}
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],
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"optional": true,
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"id": "agentAgentflow_0-input-agentKnowledgeDocumentStores-array",
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"display": true
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},
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{
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"label": "Knowledge (Vector Embeddings)",
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"name": "agentKnowledgeVSEmbeddings",
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"type": "array",
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"description": "Give your agent context about different document sources from existing vector stores and embeddings",
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"array": [
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{
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"label": "Vector Store",
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"name": "vectorStore",
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"type": "asyncOptions",
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"loadMethod": "listVectorStores",
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"loadConfig": true
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},
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{
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"label": "Embedding Model",
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"name": "embeddingModel",
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"type": "asyncOptions",
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"loadMethod": "listEmbeddings",
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"loadConfig": true
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},
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{
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"label": "Knowledge Name",
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"name": "knowledgeName",
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"type": "string",
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"placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
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},
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{
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"label": "Describe Knowledge",
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"name": "knowledgeDescription",
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"type": "string",
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"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
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"rows": 4
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},
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true
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}
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],
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"optional": true,
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"id": "agentAgentflow_0-input-agentKnowledgeVSEmbeddings-array",
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"display": true
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|
},
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|
{
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"label": "Enable Memory",
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"name": "agentEnableMemory",
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"type": "boolean",
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"description": "Enable memory for the conversation thread",
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"default": true,
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|
"optional": true,
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"id": "agentAgentflow_0-input-agentEnableMemory-boolean",
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"display": true
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|
},
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{
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"label": "Memory Type",
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"name": "agentMemoryType",
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|
"type": "options",
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|
"options": [
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{
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"label": "All Messages",
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"name": "allMessages",
|
|
"description": "Retrieve all messages from the conversation"
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|
},
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|
{
|
|
"label": "Window Size",
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|
"name": "windowSize",
|
|
"description": "Uses a fixed window size to surface the last N messages"
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|
},
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{
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|
"label": "Conversation Summary",
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"name": "conversationSummary",
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"description": "Summarizes the whole conversation"
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|
},
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{
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"label": "Conversation Summary Buffer",
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"name": "conversationSummaryBuffer",
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"description": "Summarize conversations once token limit is reached. Default to 2000"
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}
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],
|
|
"optional": true,
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"default": "allMessages",
|
|
"show": {
|
|
"agentEnableMemory": true
|
|
},
|
|
"id": "agentAgentflow_0-input-agentMemoryType-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Window Size",
|
|
"name": "agentMemoryWindowSize",
|
|
"type": "number",
|
|
"default": "20",
|
|
"description": "Uses a fixed window size to surface the last N messages",
|
|
"show": {
|
|
"agentMemoryType": "windowSize"
|
|
},
|
|
"id": "agentAgentflow_0-input-agentMemoryWindowSize-number",
|
|
"display": false
|
|
},
|
|
{
|
|
"label": "Max Token Limit",
|
|
"name": "agentMemoryMaxTokenLimit",
|
|
"type": "number",
|
|
"default": "2000",
|
|
"description": "Summarize conversations once token limit is reached. Default to 2000",
|
|
"show": {
|
|
"agentMemoryType": "conversationSummaryBuffer"
|
|
},
|
|
"id": "agentAgentflow_0-input-agentMemoryMaxTokenLimit-number",
|
|
"display": false
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|
},
|
|
{
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"label": "Input Message",
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|
"name": "agentUserMessage",
|
|
"type": "string",
|
|
"description": "Add an input message as user message at the end of the conversation",
|
|
"rows": 4,
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"show": {
|
|
"agentEnableMemory": true
|
|
},
|
|
"id": "agentAgentflow_0-input-agentUserMessage-string",
|
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"display": true
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|
},
|
|
{
|
|
"label": "Return Response As",
|
|
"name": "agentReturnResponseAs",
|
|
"type": "options",
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|
"options": [
|
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{
|
|
"label": "User Message",
|
|
"name": "userMessage"
|
|
},
|
|
{
|
|
"label": "Assistant Message",
|
|
"name": "assistantMessage"
|
|
}
|
|
],
|
|
"default": "userMessage",
|
|
"id": "agentAgentflow_0-input-agentReturnResponseAs-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Update Flow State",
|
|
"name": "agentUpdateState",
|
|
"description": "Update runtime state during the execution of the workflow",
|
|
"type": "array",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"array": [
|
|
{
|
|
"label": "Key",
|
|
"name": "key",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listRuntimeStateKeys",
|
|
"freeSolo": true
|
|
},
|
|
{
|
|
"label": "Value",
|
|
"name": "value",
|
|
"type": "string",
|
|
"acceptVariable": true,
|
|
"acceptNodeOutputAsVariable": true
|
|
}
|
|
],
|
|
"id": "agentAgentflow_0-input-agentUpdateState-array",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"agentModel": "chatOpenAI",
|
|
"agentMessages": [
|
|
{
|
|
"role": "system",
|
|
"content": "<p>You are a customer support agent working in Flowise Inc. Write a professional email reply to user's query. Use the web search tools to get more details about the prospect.</p>"
|
|
}
|
|
],
|
|
"agentTools": [
|
|
{
|
|
"agentSelectedTool": "googleCustomSearch",
|
|
"agentSelectedToolConfig": {
|
|
"agentSelectedTool": "googleCustomSearch"
|
|
}
|
|
},
|
|
{
|
|
"agentSelectedTool": "currentDateTime",
|
|
"agentSelectedToolConfig": {
|
|
"agentSelectedTool": "currentDateTime"
|
|
}
|
|
}
|
|
],
|
|
"agentKnowledgeDocumentStores": "",
|
|
"agentEnableMemory": true,
|
|
"agentMemoryType": "allMessages",
|
|
"agentUserMessage": "",
|
|
"agentReturnResponseAs": "userMessage",
|
|
"agentUpdateState": "",
|
|
"agentModelConfig": {
|
|
"cache": "",
|
|
"modelName": "gpt-4o-mini",
|
|
"temperature": 0.9,
|
|
"streaming": true,
|
|
"maxTokens": "",
|
|
"topP": "",
|
|
"frequencyPenalty": "",
|
|
"presencePenalty": "",
|
|
"timeout": "",
|
|
"strictToolCalling": "",
|
|
"stopSequence": "",
|
|
"basepath": "",
|
|
"proxyUrl": "",
|
|
"baseOptions": "",
|
|
"allowImageUploads": "",
|
|
"imageResolution": "low",
|
|
"reasoningEffort": "medium",
|
|
"agentModel": "chatOpenAI"
|
|
}
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "agentAgentflow_0-output-agentAgentflow",
|
|
"label": "Agent",
|
|
"name": "agentAgentflow"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 182,
|
|
"height": 103,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": -62.25,
|
|
"y": 76
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "humanInputAgentflow_0",
|
|
"position": {
|
|
"x": 156.05666363734434,
|
|
"y": 86.62266545493773
|
|
},
|
|
"data": {
|
|
"id": "humanInputAgentflow_0",
|
|
"label": "Human Input 0",
|
|
"version": 1,
|
|
"name": "humanInputAgentflow",
|
|
"type": "HumanInput",
|
|
"color": "#6E6EFD",
|
|
"baseClasses": ["HumanInput"],
|
|
"category": "Agent Flows",
|
|
"description": "Request human input, approval or rejection during execution",
|
|
"inputParams": [
|
|
{
|
|
"label": "Description Type",
|
|
"name": "humanInputDescriptionType",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "Fixed",
|
|
"name": "fixed",
|
|
"description": "Specify a fixed description"
|
|
},
|
|
{
|
|
"label": "Dynamic",
|
|
"name": "dynamic",
|
|
"description": "Use LLM to generate a description"
|
|
}
|
|
],
|
|
"id": "humanInputAgentflow_0-input-humanInputDescriptionType-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Description",
|
|
"name": "humanInputDescription",
|
|
"type": "string",
|
|
"placeholder": "Are you sure you want to proceed?",
|
|
"acceptVariable": true,
|
|
"rows": 4,
|
|
"show": {
|
|
"humanInputDescriptionType": "fixed"
|
|
},
|
|
"id": "humanInputAgentflow_0-input-humanInputDescription-string",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Model",
|
|
"name": "humanInputModel",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listModels",
|
|
"loadConfig": true,
|
|
"show": {
|
|
"humanInputDescriptionType": "dynamic"
|
|
},
|
|
"id": "humanInputAgentflow_0-input-humanInputModel-asyncOptions",
|
|
"display": false
|
|
},
|
|
{
|
|
"label": "Prompt",
|
|
"name": "humanInputModelPrompt",
|
|
"type": "string",
|
|
"default": "<p>Summarize the conversation between the user and the assistant, reiterate the last message from the assistant, and ask if user would like to proceed or if they have any feedback. </p>\n<ul>\n<li>Begin by capturing the key points of the conversation, ensuring that you reflect the main ideas and themes discussed.</li>\n<li>Then, clearly reproduce the last message sent by the assistant to maintain continuity. Make sure the whole message is reproduced.</li>\n<li>Finally, ask the user if they would like to proceed, or provide any feedback on the last assistant message</li>\n</ul>\n<h2 id=\"output-format-the-output-should-be-structured-in-three-parts-\">Output Format The output should be structured in three parts in text:</h2>\n<ul>\n<li>A summary of the conversation (1-3 sentences).</li>\n<li>The last assistant message (exactly as it appeared).</li>\n<li>Ask the user if they would like to proceed, or provide any feedback on last assistant message. No other explanation and elaboration is needed.</li>\n</ul>\n",
|
|
"acceptVariable": true,
|
|
"generateInstruction": true,
|
|
"rows": 4,
|
|
"show": {
|
|
"humanInputDescriptionType": "dynamic"
|
|
},
|
|
"id": "humanInputAgentflow_0-input-humanInputModelPrompt-string",
|
|
"display": false
|
|
},
|
|
{
|
|
"label": "Enable Feedback",
|
|
"name": "humanInputEnableFeedback",
|
|
"type": "boolean",
|
|
"default": true,
|
|
"id": "humanInputAgentflow_0-input-humanInputEnableFeedback-boolean",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"humanInputDescriptionType": "fixed",
|
|
"humanInputEnableFeedback": true,
|
|
"humanInputModelConfig": {
|
|
"cache": "",
|
|
"modelName": "gpt-4o-mini",
|
|
"temperature": 0.9,
|
|
"streaming": true,
|
|
"maxTokens": "",
|
|
"topP": "",
|
|
"frequencyPenalty": "",
|
|
"presencePenalty": "",
|
|
"timeout": "",
|
|
"strictToolCalling": "",
|
|
"stopSequence": "",
|
|
"basepath": "",
|
|
"proxyUrl": "",
|
|
"baseOptions": "",
|
|
"allowImageUploads": "",
|
|
"imageResolution": "low",
|
|
"reasoningEffort": "medium",
|
|
"humanInputModel": "chatOpenAI"
|
|
},
|
|
"humanInputDescription": "<p>Are you sure you want to proceed?</p>"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "humanInputAgentflow_0-output-0",
|
|
"label": "Human Input",
|
|
"name": "humanInputAgentflow"
|
|
},
|
|
{
|
|
"id": "humanInputAgentflow_0-output-1",
|
|
"label": "Human Input",
|
|
"name": "humanInputAgentflow"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"humanInputAgentflow": ""
|
|
},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 161,
|
|
"height": 80,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 156.05666363734434,
|
|
"y": 86.62266545493773
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "directReplyAgentflow_0",
|
|
"position": {
|
|
"x": 363.0101864947954,
|
|
"y": 35.15053748988734
|
|
},
|
|
"data": {
|
|
"id": "directReplyAgentflow_0",
|
|
"label": "Direct Reply 0",
|
|
"version": 1,
|
|
"name": "directReplyAgentflow",
|
|
"type": "DirectReply",
|
|
"color": "#4DDBBB",
|
|
"hideOutput": true,
|
|
"baseClasses": ["DirectReply"],
|
|
"category": "Agent Flows",
|
|
"description": "Directly reply to the user with a message",
|
|
"inputParams": [
|
|
{
|
|
"label": "Message",
|
|
"name": "directReplyMessage",
|
|
"type": "string",
|
|
"rows": 4,
|
|
"acceptVariable": true,
|
|
"id": "directReplyAgentflow_0-input-directReplyMessage-string",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"directReplyMessage": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"agentAgentflow_0\" data-label=\"agentAgentflow_0\">{{ agentAgentflow_0 }}</span> </p>"
|
|
},
|
|
"outputAnchors": [],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 155,
|
|
"height": 65,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 363.0101864947954,
|
|
"y": 35.15053748988734
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "loopAgentflow_0",
|
|
"position": {
|
|
"x": 366.5975521223236,
|
|
"y": 130.12266545493773
|
|
},
|
|
"data": {
|
|
"id": "loopAgentflow_0",
|
|
"label": "Loop 0",
|
|
"version": 1,
|
|
"name": "loopAgentflow",
|
|
"type": "Loop",
|
|
"color": "#FFA07A",
|
|
"hideOutput": true,
|
|
"baseClasses": ["Loop"],
|
|
"category": "Agent Flows",
|
|
"description": "Loop back to a previous node",
|
|
"inputParams": [
|
|
{
|
|
"label": "Loop Back To",
|
|
"name": "loopBackToNode",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listPreviousNodes",
|
|
"freeSolo": true,
|
|
"id": "loopAgentflow_0-input-loopBackToNode-asyncOptions",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Max Loop Count",
|
|
"name": "maxLoopCount",
|
|
"type": "number",
|
|
"default": 5,
|
|
"id": "loopAgentflow_0-input-maxLoopCount-number",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"loopBackToNode": "agentAgentflow_0-Email Reply Agent",
|
|
"maxLoopCount": 5
|
|
},
|
|
"outputAnchors": [],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 113,
|
|
"height": 65,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 366.5975521223236,
|
|
"y": 130.12266545493773
|
|
},
|
|
"dragging": false
|
|
}
|
|
],
|
|
"edges": [
|
|
{
|
|
"source": "startAgentflow_0",
|
|
"sourceHandle": "startAgentflow_0-output-startAgentflow",
|
|
"target": "agentAgentflow_0",
|
|
"targetHandle": "agentAgentflow_0",
|
|
"data": {
|
|
"sourceColor": "#7EE787",
|
|
"targetColor": "#4DD0E1",
|
|
"isHumanInput": false
|
|
},
|
|
"type": "agentFlow",
|
|
"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-agentAgentflow_0-agentAgentflow_0"
|
|
},
|
|
{
|
|
"source": "agentAgentflow_0",
|
|
"sourceHandle": "agentAgentflow_0-output-agentAgentflow",
|
|
"target": "humanInputAgentflow_0",
|
|
"targetHandle": "humanInputAgentflow_0",
|
|
"data": {
|
|
"sourceColor": "#4DD0E1",
|
|
"targetColor": "#6E6EFD",
|
|
"isHumanInput": false
|
|
},
|
|
"type": "agentFlow",
|
|
"id": "agentAgentflow_0-agentAgentflow_0-output-agentAgentflow-humanInputAgentflow_0-humanInputAgentflow_0"
|
|
},
|
|
{
|
|
"source": "humanInputAgentflow_0",
|
|
"sourceHandle": "humanInputAgentflow_0-output-0",
|
|
"target": "directReplyAgentflow_0",
|
|
"targetHandle": "directReplyAgentflow_0",
|
|
"data": {
|
|
"sourceColor": "#6E6EFD",
|
|
"targetColor": "#4DDBBB",
|
|
"edgeLabel": "proceed",
|
|
"isHumanInput": true
|
|
},
|
|
"type": "agentFlow",
|
|
"id": "humanInputAgentflow_0-humanInputAgentflow_0-output-0-directReplyAgentflow_0-directReplyAgentflow_0"
|
|
},
|
|
{
|
|
"source": "humanInputAgentflow_0",
|
|
"sourceHandle": "humanInputAgentflow_0-output-1",
|
|
"target": "loopAgentflow_0",
|
|
"targetHandle": "loopAgentflow_0",
|
|
"data": {
|
|
"sourceColor": "#6E6EFD",
|
|
"targetColor": "#FFA07A",
|
|
"edgeLabel": "reject",
|
|
"isHumanInput": true
|
|
},
|
|
"type": "agentFlow",
|
|
"id": "humanInputAgentflow_0-humanInputAgentflow_0-output-1-loopAgentflow_0-loopAgentflow_0"
|
|
}
|
|
]
|
|
}
|