1279 lines
57 KiB
JSON
1279 lines
57 KiB
JSON
{
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"description": "An agent that can iterate over a list of items and perform actions on each item",
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"usecases": ["Agent"],
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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": -157.7434917749852,
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"y": 100.77695246750446
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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": -157.7434917749852,
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"y": 100.77695246750446
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},
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"dragging": false
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},
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{
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"id": "iterationAgentflow_0",
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"position": {
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"x": -13.75,
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"y": 8.5
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},
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"data": {
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"id": "iterationAgentflow_0",
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"label": "Iteration 0",
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"version": 1,
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"name": "iterationAgentflow",
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"type": "Iteration",
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"color": "#9C89B8",
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"baseClasses": ["Iteration"],
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"category": "Agent Flows",
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"description": "Execute the nodes within the iteration block through N iterations",
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"inputParams": [
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{
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"label": "Array Input",
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"name": "iterationInput",
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"type": "string",
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"description": "The input array to iterate over",
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"acceptVariable": true,
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"rows": 4,
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"id": "iterationAgentflow_0-input-iterationInput-string",
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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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"iterationInput": "<p>[{\"item\": \"abc\"}, {\"item\": \"def\"}]</p>"
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},
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"outputAnchors": [
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{
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"id": "iterationAgentflow_0-output-iterationAgentflow",
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"label": "Iteration",
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"name": "iterationAgentflow"
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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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"type": "iteration",
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"width": 481,
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"height": 250,
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"selected": false,
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"positionAbsolute": {
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"x": -13.75,
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"y": 8.5
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},
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"dragging": false,
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"style": {
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"width": 481,
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"height": 250
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},
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"resizing": false
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},
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{
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"id": "llmAgentflow_0",
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"position": {
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"x": 56,
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"y": 92
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},
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"data": {
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"id": "llmAgentflow_0",
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"label": "Gemini Agent",
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"version": 1,
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"name": "llmAgentflow",
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"type": "LLM",
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"color": "#64B5F6",
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"baseClasses": ["LLM"],
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"category": "Agent Flows",
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"description": "Large language models to analyze user-provided inputs and generate responses",
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"inputParams": [
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{
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"label": "Model",
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"name": "llmModel",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"loadConfig": true,
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"id": "llmAgentflow_0-input-llmModel-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": "llmMessages",
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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": "llmAgentflow_0-input-llmMessages-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": "llmEnableMemory",
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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": "llmAgentflow_0-input-llmEnableMemory-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": "llmMemoryType",
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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",
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"description": "Retrieve all messages from the conversation"
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},
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{
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"label": "Window Size",
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"name": "windowSize",
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"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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],
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"optional": true,
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"default": "allMessages",
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"show": {
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"llmEnableMemory": true
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},
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|
"id": "llmAgentflow_0-input-llmMemoryType-options",
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|
"display": true
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|
},
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{
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"label": "Window Size",
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"name": "llmMemoryWindowSize",
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"type": "number",
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"default": "20",
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"description": "Uses a fixed window size to surface the last N messages",
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"show": {
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"llmMemoryType": "windowSize"
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},
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"id": "llmAgentflow_0-input-llmMemoryWindowSize-number",
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"display": false
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|
},
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|
{
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"label": "Max Token Limit",
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"name": "llmMemoryMaxTokenLimit",
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|
"type": "number",
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|
"default": "2000",
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|
"description": "Summarize conversations once token limit is reached. Default to 2000",
|
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"show": {
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"llmMemoryType": "conversationSummaryBuffer"
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|
},
|
|
"id": "llmAgentflow_0-input-llmMemoryMaxTokenLimit-number",
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"display": false
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|
},
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{
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"label": "Input Message",
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"name": "llmUserMessage",
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"type": "string",
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"description": "Add an input message as user message at the end of the conversation",
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"rows": 4,
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"optional": true,
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"acceptVariable": true,
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"show": {
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"llmEnableMemory": true
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|
},
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"id": "llmAgentflow_0-input-llmUserMessage-string",
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"display": true
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},
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{
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"label": "Return Response As",
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"name": "llmReturnResponseAs",
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"type": "options",
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"options": [
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{
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"label": "User Message",
|
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"name": "userMessage"
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},
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{
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"label": "Assistant Message",
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|
"name": "assistantMessage"
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}
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|
],
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"default": "userMessage",
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"id": "llmAgentflow_0-input-llmReturnResponseAs-options",
|
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"display": true
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|
},
|
|
{
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"label": "JSON Structured Output",
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"name": "llmStructuredOutput",
|
|
"description": "Instruct the LLM to give output in a JSON structured schema",
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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": "Key",
|
|
"name": "key",
|
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"type": "string"
|
|
},
|
|
{
|
|
"label": "Type",
|
|
"name": "type",
|
|
"type": "options",
|
|
"options": [
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{
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"label": "String",
|
|
"name": "string"
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|
},
|
|
{
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"label": "String Array",
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"name": "stringArray"
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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": "Enum",
|
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"name": "enum"
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|
},
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|
{
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|
"label": "JSON Array",
|
|
"name": "jsonArray"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"label": "Enum Values",
|
|
"name": "enumValues",
|
|
"type": "string",
|
|
"placeholder": "value1, value2, value3",
|
|
"description": "Enum values. Separated by comma",
|
|
"optional": true,
|
|
"show": {
|
|
"llmStructuredOutput[$index].type": "enum"
|
|
}
|
|
},
|
|
{
|
|
"label": "JSON Schema",
|
|
"name": "jsonSchema",
|
|
"type": "code",
|
|
"placeholder": "{\n \"answer\": {\n \"type\": \"string\",\n \"description\": \"Value of the answer\"\n },\n \"reason\": {\n \"type\": \"string\",\n \"description\": \"Reason for the answer\"\n },\n \"optional\": {\n \"type\": \"boolean\"\n },\n \"count\": {\n \"type\": \"number\"\n },\n \"children\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"value\": {\n \"type\": \"string\",\n \"description\": \"Value of the children's answer\"\n }\n }\n }\n }\n}",
|
|
"description": "JSON schema for the structured output",
|
|
"optional": true,
|
|
"show": {
|
|
"llmStructuredOutput[$index].type": "jsonArray"
|
|
}
|
|
},
|
|
{
|
|
"label": "Description",
|
|
"name": "description",
|
|
"type": "string",
|
|
"placeholder": "Description of the key"
|
|
}
|
|
],
|
|
"id": "llmAgentflow_0-input-llmStructuredOutput-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Update Flow State",
|
|
"name": "llmUpdateState",
|
|
"description": "Update runtime state during the execution of the workflow",
|
|
"type": "array",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"array": [
|
|
{
|
|
"label": "Key",
|
|
"name": "key",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listRuntimeStateKeys",
|
|
"freeSolo": true
|
|
},
|
|
{
|
|
"label": "Value",
|
|
"name": "value",
|
|
"type": "string",
|
|
"acceptVariable": true,
|
|
"acceptNodeOutputAsVariable": true
|
|
}
|
|
],
|
|
"id": "llmAgentflow_0-input-llmUpdateState-array",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"llmModel": "chatGoogleGenerativeAI",
|
|
"llmMessages": "",
|
|
"llmEnableMemory": true,
|
|
"llmMemoryType": "allMessages",
|
|
"llmUserMessage": "<p>Reply only:</p><p>{{$iteration.item}}</p>",
|
|
"llmReturnResponseAs": "userMessage",
|
|
"llmStructuredOutput": "",
|
|
"llmUpdateState": "",
|
|
"llmModelConfig": {
|
|
"credential": "",
|
|
"modelName": "gemini-2.0-flash",
|
|
"customModelName": "",
|
|
"temperature": 0.9,
|
|
"streaming": true,
|
|
"maxOutputTokens": "",
|
|
"topP": "",
|
|
"topK": "",
|
|
"harmCategory": "",
|
|
"harmBlockThreshold": "",
|
|
"allowImageUploads": "",
|
|
"llmModel": "chatGoogleGenerativeAI"
|
|
}
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "llmAgentflow_0-output-llmAgentflow",
|
|
"label": "LLM",
|
|
"name": "llmAgentflow"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"parentNode": "iterationAgentflow_0",
|
|
"extent": "parent",
|
|
"width": 191,
|
|
"height": 71,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 42.25,
|
|
"y": 100.5
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "llmAgentflow_1",
|
|
"position": {
|
|
"x": 287.9621736478904,
|
|
"y": 92.25785828325522
|
|
},
|
|
"data": {
|
|
"id": "llmAgentflow_1",
|
|
"label": "Ollama Agent",
|
|
"version": 1,
|
|
"name": "llmAgentflow",
|
|
"type": "LLM",
|
|
"color": "#64B5F6",
|
|
"baseClasses": ["LLM"],
|
|
"category": "Agent Flows",
|
|
"description": "Large language models to analyze user-provided inputs and generate responses",
|
|
"inputParams": [
|
|
{
|
|
"label": "Model",
|
|
"name": "llmModel",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listModels",
|
|
"loadConfig": true,
|
|
"id": "llmAgentflow_1-input-llmModel-asyncOptions",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Messages",
|
|
"name": "llmMessages",
|
|
"type": "array",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"array": [
|
|
{
|
|
"label": "Role",
|
|
"name": "role",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "System",
|
|
"name": "system"
|
|
},
|
|
{
|
|
"label": "Assistant",
|
|
"name": "assistant"
|
|
},
|
|
{
|
|
"label": "Developer",
|
|
"name": "developer"
|
|
},
|
|
{
|
|
"label": "User",
|
|
"name": "user"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"label": "Content",
|
|
"name": "content",
|
|
"type": "string",
|
|
"acceptVariable": true,
|
|
"generateInstruction": true,
|
|
"rows": 4
|
|
}
|
|
],
|
|
"id": "llmAgentflow_1-input-llmMessages-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Enable Memory",
|
|
"name": "llmEnableMemory",
|
|
"type": "boolean",
|
|
"description": "Enable memory for the conversation thread",
|
|
"default": true,
|
|
"optional": true,
|
|
"id": "llmAgentflow_1-input-llmEnableMemory-boolean",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Memory Type",
|
|
"name": "llmMemoryType",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "All Messages",
|
|
"name": "allMessages",
|
|
"description": "Retrieve all messages from the conversation"
|
|
},
|
|
{
|
|
"label": "Window Size",
|
|
"name": "windowSize",
|
|
"description": "Uses a fixed window size to surface the last N messages"
|
|
},
|
|
{
|
|
"label": "Conversation Summary",
|
|
"name": "conversationSummary",
|
|
"description": "Summarizes the whole conversation"
|
|
},
|
|
{
|
|
"label": "Conversation Summary Buffer",
|
|
"name": "conversationSummaryBuffer",
|
|
"description": "Summarize conversations once token limit is reached. Default to 2000"
|
|
}
|
|
],
|
|
"optional": true,
|
|
"default": "allMessages",
|
|
"show": {
|
|
"llmEnableMemory": true
|
|
},
|
|
"id": "llmAgentflow_1-input-llmMemoryType-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Window Size",
|
|
"name": "llmMemoryWindowSize",
|
|
"type": "number",
|
|
"default": "20",
|
|
"description": "Uses a fixed window size to surface the last N messages",
|
|
"show": {
|
|
"llmMemoryType": "windowSize"
|
|
},
|
|
"id": "llmAgentflow_1-input-llmMemoryWindowSize-number",
|
|
"display": false
|
|
},
|
|
{
|
|
"label": "Max Token Limit",
|
|
"name": "llmMemoryMaxTokenLimit",
|
|
"type": "number",
|
|
"default": "2000",
|
|
"description": "Summarize conversations once token limit is reached. Default to 2000",
|
|
"show": {
|
|
"llmMemoryType": "conversationSummaryBuffer"
|
|
},
|
|
"id": "llmAgentflow_1-input-llmMemoryMaxTokenLimit-number",
|
|
"display": false
|
|
},
|
|
{
|
|
"label": "Input Message",
|
|
"name": "llmUserMessage",
|
|
"type": "string",
|
|
"description": "Add an input message as user message at the end of the conversation",
|
|
"rows": 4,
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"show": {
|
|
"llmEnableMemory": true
|
|
},
|
|
"id": "llmAgentflow_1-input-llmUserMessage-string",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Return Response As",
|
|
"name": "llmReturnResponseAs",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "User Message",
|
|
"name": "userMessage"
|
|
},
|
|
{
|
|
"label": "Assistant Message",
|
|
"name": "assistantMessage"
|
|
}
|
|
],
|
|
"default": "userMessage",
|
|
"id": "llmAgentflow_1-input-llmReturnResponseAs-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "JSON Structured Output",
|
|
"name": "llmStructuredOutput",
|
|
"description": "Instruct the LLM to give output in a JSON structured schema",
|
|
"type": "array",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"array": [
|
|
{
|
|
"label": "Key",
|
|
"name": "key",
|
|
"type": "string"
|
|
},
|
|
{
|
|
"label": "Type",
|
|
"name": "type",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "String",
|
|
"name": "string"
|
|
},
|
|
{
|
|
"label": "String Array",
|
|
"name": "stringArray"
|
|
},
|
|
{
|
|
"label": "Number",
|
|
"name": "number"
|
|
},
|
|
{
|
|
"label": "Boolean",
|
|
"name": "boolean"
|
|
},
|
|
{
|
|
"label": "Enum",
|
|
"name": "enum"
|
|
},
|
|
{
|
|
"label": "JSON Array",
|
|
"name": "jsonArray"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"label": "Enum Values",
|
|
"name": "enumValues",
|
|
"type": "string",
|
|
"placeholder": "value1, value2, value3",
|
|
"description": "Enum values. Separated by comma",
|
|
"optional": true,
|
|
"show": {
|
|
"llmStructuredOutput[$index].type": "enum"
|
|
}
|
|
},
|
|
{
|
|
"label": "JSON Schema",
|
|
"name": "jsonSchema",
|
|
"type": "code",
|
|
"placeholder": "{\n \"answer\": {\n \"type\": \"string\",\n \"description\": \"Value of the answer\"\n },\n \"reason\": {\n \"type\": \"string\",\n \"description\": \"Reason for the answer\"\n },\n \"optional\": {\n \"type\": \"boolean\"\n },\n \"count\": {\n \"type\": \"number\"\n },\n \"children\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"value\": {\n \"type\": \"string\",\n \"description\": \"Value of the children's answer\"\n }\n }\n }\n }\n}",
|
|
"description": "JSON schema for the structured output",
|
|
"optional": true,
|
|
"show": {
|
|
"llmStructuredOutput[$index].type": "jsonArray"
|
|
}
|
|
},
|
|
{
|
|
"label": "Description",
|
|
"name": "description",
|
|
"type": "string",
|
|
"placeholder": "Description of the key"
|
|
}
|
|
],
|
|
"id": "llmAgentflow_1-input-llmStructuredOutput-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Update Flow State",
|
|
"name": "llmUpdateState",
|
|
"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": "llmAgentflow_1-input-llmUpdateState-array",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"llmModel": "chatOllama",
|
|
"llmMessages": "",
|
|
"llmEnableMemory": true,
|
|
"llmMemoryType": "allMessages",
|
|
"llmUserMessage": "<p>Reply only:</p><p>{{$iteration.item}}</p>",
|
|
"llmReturnResponseAs": "userMessage",
|
|
"llmStructuredOutput": "",
|
|
"llmUpdateState": "",
|
|
"llmModelConfig": {
|
|
"baseUrl": "http://localhost:11434",
|
|
"modelName": "llama3.2",
|
|
"temperature": 0.9,
|
|
"allowImageUploads": "",
|
|
"streaming": true,
|
|
"jsonMode": "",
|
|
"keepAlive": "5m",
|
|
"topP": "",
|
|
"topK": "",
|
|
"mirostat": "",
|
|
"mirostatEta": "",
|
|
"mirostatTau": "",
|
|
"numCtx": "",
|
|
"numGpu": "",
|
|
"numThread": "",
|
|
"repeatLastN": "",
|
|
"repeatPenalty": "",
|
|
"stop": "",
|
|
"tfsZ": "",
|
|
"llmModel": "chatOllama"
|
|
}
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "llmAgentflow_1-output-llmAgentflow",
|
|
"label": "LLM",
|
|
"name": "llmAgentflow"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"parentNode": "iterationAgentflow_0",
|
|
"extent": "parent",
|
|
"width": 154,
|
|
"height": 71,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 274.2121736478904,
|
|
"y": 100.75785828325522
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "agentAgentflow_0",
|
|
"position": {
|
|
"x": 509.27738295829977,
|
|
"y": 97.28505776122253
|
|
},
|
|
"data": {
|
|
"id": "agentAgentflow_0",
|
|
"label": "Agent",
|
|
"version": 1,
|
|
"name": "agentAgentflow",
|
|
"type": "Agent",
|
|
"color": "#4DD0E1",
|
|
"baseClasses": ["Agent"],
|
|
"category": "Agent Flows",
|
|
"description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
|
|
"inputParams": [
|
|
{
|
|
"label": "Model",
|
|
"name": "agentModel",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listModels",
|
|
"loadConfig": true,
|
|
"id": "agentAgentflow_0-input-agentModel-asyncOptions",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Messages",
|
|
"name": "agentMessages",
|
|
"type": "array",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"array": [
|
|
{
|
|
"label": "Role",
|
|
"name": "role",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "System",
|
|
"name": "system"
|
|
},
|
|
{
|
|
"label": "Assistant",
|
|
"name": "assistant"
|
|
},
|
|
{
|
|
"label": "Developer",
|
|
"name": "developer"
|
|
},
|
|
{
|
|
"label": "User",
|
|
"name": "user"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"label": "Content",
|
|
"name": "content",
|
|
"type": "string",
|
|
"acceptVariable": true,
|
|
"generateInstruction": true,
|
|
"rows": 4
|
|
}
|
|
],
|
|
"id": "agentAgentflow_0-input-agentMessages-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Tools",
|
|
"name": "agentTools",
|
|
"type": "array",
|
|
"optional": true,
|
|
"array": [
|
|
{
|
|
"label": "Tool",
|
|
"name": "agentSelectedTool",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listTools",
|
|
"loadConfig": true
|
|
},
|
|
{
|
|
"label": "Require Human Input",
|
|
"name": "agentSelectedToolRequiresHumanInput",
|
|
"type": "boolean",
|
|
"optional": true
|
|
}
|
|
],
|
|
"id": "agentAgentflow_0-input-agentTools-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Knowledge (Document Stores)",
|
|
"name": "agentKnowledgeDocumentStores",
|
|
"type": "array",
|
|
"description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
|
|
"array": [
|
|
{
|
|
"label": "Document Store",
|
|
"name": "documentStore",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listStores"
|
|
},
|
|
{
|
|
"label": "Describe Knowledge",
|
|
"name": "docStoreDescription",
|
|
"type": "string",
|
|
"generateDocStoreDescription": true,
|
|
"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
|
|
"rows": 4
|
|
},
|
|
{
|
|
"label": "Return Source Documents",
|
|
"name": "returnSourceDocuments",
|
|
"type": "boolean",
|
|
"optional": true
|
|
}
|
|
],
|
|
"optional": true,
|
|
"id": "agentAgentflow_0-input-agentKnowledgeDocumentStores-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Knowledge (Vector Embeddings)",
|
|
"name": "agentKnowledgeVSEmbeddings",
|
|
"type": "array",
|
|
"description": "Give your agent context about different document sources from existing vector stores and embeddings",
|
|
"array": [
|
|
{
|
|
"label": "Vector Store",
|
|
"name": "vectorStore",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listVectorStores",
|
|
"loadConfig": true
|
|
},
|
|
{
|
|
"label": "Embedding Model",
|
|
"name": "embeddingModel",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listEmbeddings",
|
|
"loadConfig": true
|
|
},
|
|
{
|
|
"label": "Knowledge Name",
|
|
"name": "knowledgeName",
|
|
"type": "string",
|
|
"placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
|
|
},
|
|
{
|
|
"label": "Describe Knowledge",
|
|
"name": "knowledgeDescription",
|
|
"type": "string",
|
|
"placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
|
|
"rows": 4
|
|
},
|
|
{
|
|
"label": "Return Source Documents",
|
|
"name": "returnSourceDocuments",
|
|
"type": "boolean",
|
|
"optional": true
|
|
}
|
|
],
|
|
"optional": true,
|
|
"id": "agentAgentflow_0-input-agentKnowledgeVSEmbeddings-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Enable Memory",
|
|
"name": "agentEnableMemory",
|
|
"type": "boolean",
|
|
"description": "Enable memory for the conversation thread",
|
|
"default": true,
|
|
"optional": true,
|
|
"id": "agentAgentflow_0-input-agentEnableMemory-boolean",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Memory Type",
|
|
"name": "agentMemoryType",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "All Messages",
|
|
"name": "allMessages",
|
|
"description": "Retrieve all messages from the conversation"
|
|
},
|
|
{
|
|
"label": "Window Size",
|
|
"name": "windowSize",
|
|
"description": "Uses a fixed window size to surface the last N messages"
|
|
},
|
|
{
|
|
"label": "Conversation Summary",
|
|
"name": "conversationSummary",
|
|
"description": "Summarizes the whole conversation"
|
|
},
|
|
{
|
|
"label": "Conversation Summary Buffer",
|
|
"name": "conversationSummaryBuffer",
|
|
"description": "Summarize conversations once token limit is reached. Default to 2000"
|
|
}
|
|
],
|
|
"optional": true,
|
|
"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
|
|
},
|
|
{
|
|
"label": "Input Message",
|
|
"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",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Return Response As",
|
|
"name": "agentReturnResponseAs",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"label": "User Message",
|
|
"name": "userMessage"
|
|
},
|
|
{
|
|
"label": "Assistant Message",
|
|
"name": "assistantMessage"
|
|
}
|
|
],
|
|
"default": "userMessage",
|
|
"id": "agentAgentflow_0-input-agentReturnResponseAs-options",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Update Flow State",
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"name": "agentUpdateState",
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"description": "Update runtime state during the execution of the workflow",
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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": "Key",
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"name": "key",
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"type": "asyncOptions",
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"loadMethod": "listRuntimeStateKeys",
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"freeSolo": true
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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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"acceptVariable": true,
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"acceptNodeOutputAsVariable": true
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}
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],
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"id": "agentAgentflow_0-input-agentUpdateState-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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"agentModel": "chatOpenAI",
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"agentUserMessage": "",
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"agentReturnResponseAs": "userMessage",
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"agentUpdateState": "",
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"agentModelConfig": {
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"cache": "",
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"modelName": "gpt-4o-mini",
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"temperature": 0.9,
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"streaming": true,
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"basepath": "",
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"proxyUrl": "",
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"baseOptions": "",
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"allowImageUploads": "",
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"imageResolution": "low",
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"agentModel": "chatOpenAI"
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{
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"id": "agentAgentflow_0-output-agentAgentflow",
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"label": "Agent",
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"name": "agentAgentflow"
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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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"type": "agentFlow",
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"width": 168,
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"edges": [
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{
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"source": "startAgentflow_0",
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"sourceHandle": "startAgentflow_0-output-startAgentflow",
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"data": {
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"sourceColor": "#7EE787",
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"targetColor": "#9C89B8",
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},
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"type": "agentFlow",
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"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-iterationAgentflow_0-iterationAgentflow_0"
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},
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{
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"source": "llmAgentflow_0",
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"sourceHandle": "llmAgentflow_0-output-llmAgentflow",
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"target": "llmAgentflow_1",
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"targetHandle": "llmAgentflow_1",
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"data": {
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"sourceColor": "#64B5F6",
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"targetColor": "#64B5F6",
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"type": "agentFlow",
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"id": "llmAgentflow_0-llmAgentflow_0-output-llmAgentflow-llmAgentflow_1-llmAgentflow_1"
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},
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{
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"source": "iterationAgentflow_0",
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"sourceHandle": "iterationAgentflow_0-output-iterationAgentflow",
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"target": "agentAgentflow_0",
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"targetHandle": "agentAgentflow_0",
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"data": {
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"sourceColor": "#9C89B8",
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"targetColor": "#4DD0E1",
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"isHumanInput": false
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},
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"type": "agentFlow",
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"id": "iterationAgentflow_0-iterationAgentflow_0-output-iterationAgentflow-agentAgentflow_0-agentAgentflow_0"
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}
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]
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}
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