mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 01:01:11 +03:00
Henry Heng
aea2b184da
- update lc community and openai version - fix chatfireworks - update reasonings for openai models - update openai apikey param
1306 lines
58 KiB
JSON
1306 lines
58 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": -201.62473061824977,
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"y": 92.61621373702832
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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": 1.1,
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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": true
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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": true
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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": true
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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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"display": 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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"label": "Persist State",
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"name": "startPersistState",
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"type": "boolean",
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"description": "Persist the state in the same session",
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"optional": true,
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"id": "startAgentflow_0-input-startPersistState-boolean",
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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": "formInput",
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"formTitle": "Email Inquiry",
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"formDescription": "Incoming email inquiry",
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"formInputTypes": [
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{
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"type": "string",
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"label": "Subject",
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"name": "subject",
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"addOptions": ""
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},
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{
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"type": "string",
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"label": "Body",
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"name": "body",
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"addOptions": ""
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},
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{
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"type": "string",
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"label": "From",
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"name": "from",
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"addOptions": ""
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}
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],
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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": 103,
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"height": 66,
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"selected": false,
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"positionAbsolute": {
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"x": -201.62473061824977,
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"y": 92.61621373702832
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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": -61.56009223078007,
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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",
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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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"agentEnableMemory": true
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},
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"id": "agentAgentflow_0-input-agentMemoryType-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": "agentMemoryWindowSize",
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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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"agentMemoryType": "windowSize"
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},
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"id": "agentAgentflow_0-input-agentMemoryWindowSize-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": "agentMemoryMaxTokenLimit",
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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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"agentMemoryType": "conversationSummaryBuffer"
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},
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"id": "agentAgentflow_0-input-agentMemoryMaxTokenLimit-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": "agentUserMessage",
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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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"agentEnableMemory": true
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|
},
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"id": "agentAgentflow_0-input-agentUserMessage-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": "agentReturnResponseAs",
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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": "agentAgentflow_0-input-agentReturnResponseAs-options",
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"display": true
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|
},
|
|
{
|
|
"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><p>Always reply as Samantha, Customer Support Representative in Flowise. Dont use placeholders.</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": "",
|
|
"agentModel": "chatOpenAI"
|
|
}
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "agentAgentflow_0-output-agentAgentflow",
|
|
"label": "Agent",
|
|
"name": "agentAgentflow"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 189,
|
|
"height": 100,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": -61.56009223078007,
|
|
"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": "",
|
|
"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": 167,
|
|
"height": 80,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 156.05666363734434,
|
|
"y": 86.62266545493773
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "loopAgentflow_0",
|
|
"position": {
|
|
"x": 392.1370040831033,
|
|
"y": 150.41190827718114
|
|
},
|
|
"data": {
|
|
"id": "loopAgentflow_0",
|
|
"label": "Loop back to Agent",
|
|
"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": 198,
|
|
"height": 66,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 392.1370040831033,
|
|
"y": 150.41190827718114
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "toolAgentflow_0",
|
|
"position": {
|
|
"x": 607.0106274902857,
|
|
"y": 44.74028001269521
|
|
},
|
|
"data": {
|
|
"id": "toolAgentflow_0",
|
|
"label": "Send Email",
|
|
"version": 1.1,
|
|
"name": "toolAgentflow",
|
|
"type": "Tool",
|
|
"color": "#d4a373",
|
|
"baseClasses": ["Tool"],
|
|
"category": "Agent Flows",
|
|
"description": "Tools allow LLM to interact with external systems",
|
|
"inputParams": [
|
|
{
|
|
"label": "Tool",
|
|
"name": "toolAgentflowSelectedTool",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listTools",
|
|
"loadConfig": true,
|
|
"id": "toolAgentflow_0-input-toolAgentflowSelectedTool-asyncOptions",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Tool Input Arguments",
|
|
"name": "toolInputArgs",
|
|
"type": "array",
|
|
"acceptVariable": true,
|
|
"refresh": true,
|
|
"array": [
|
|
{
|
|
"label": "Input Argument Name",
|
|
"name": "inputArgName",
|
|
"type": "asyncOptions",
|
|
"loadMethod": "listToolInputArgs",
|
|
"refresh": true
|
|
},
|
|
{
|
|
"label": "Input Argument Value",
|
|
"name": "inputArgValue",
|
|
"type": "string",
|
|
"acceptVariable": true
|
|
}
|
|
],
|
|
"show": {
|
|
"toolAgentflowSelectedTool": ".+"
|
|
},
|
|
"id": "toolAgentflow_0-input-toolInputArgs-array",
|
|
"display": true
|
|
},
|
|
{
|
|
"label": "Update Flow State",
|
|
"name": "toolUpdateState",
|
|
"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": "toolAgentflow_0-input-toolUpdateState-array",
|
|
"display": true
|
|
}
|
|
],
|
|
"inputAnchors": [],
|
|
"inputs": {
|
|
"toolAgentflowSelectedTool": "gmail",
|
|
"toolInputArgs": [
|
|
{
|
|
"inputArgName": "to",
|
|
"inputArgValue": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$form.from\" data-label=\"$form.from\">{{ $form.from }}</span> </p>"
|
|
},
|
|
{
|
|
"inputArgName": "subject",
|
|
"inputArgValue": "<p>{{ llmAgentflow_0.output.subject }}</p>"
|
|
},
|
|
{
|
|
"inputArgName": "body",
|
|
"inputArgValue": "<p>{{ llmAgentflow_0.output.body }}</p>"
|
|
}
|
|
],
|
|
"toolUpdateState": "",
|
|
"toolAgentflowSelectedToolConfig": {
|
|
"gmailType": "messages",
|
|
"messageActions": "[\"sendMessage\"]",
|
|
"toolAgentflowSelectedTool": "gmail"
|
|
},
|
|
"undefined": ""
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"id": "toolAgentflow_0-output-toolAgentflow",
|
|
"label": "Tool",
|
|
"name": "toolAgentflow"
|
|
}
|
|
],
|
|
"outputs": {},
|
|
"selected": false
|
|
},
|
|
"type": "agentFlow",
|
|
"width": 143,
|
|
"height": 68,
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 607.0106274902857,
|
|
"y": 44.74028001269521
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"id": "llmAgentflow_0",
|
|
"position": {
|
|
"x": 368.9022119252032,
|
|
"y": 43.50583396320786
|
|
},
|
|
"data": {
|
|
"id": "llmAgentflow_0",
|
|
"label": "Email Subject & Body",
|
|
"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_0-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_0-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_0-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_0-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_0-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_0-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_0-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_0-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",
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"placeholder": "Description of the key"
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}
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],
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"id": "llmAgentflow_0-input-llmStructuredOutput-array",
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"display": true
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},
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{
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"label": "Update Flow State",
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"name": "llmUpdateState",
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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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{
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"label": "Key",
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"name": "key",
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"type": "asyncOptions",
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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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"id": "llmAgentflow_0-input-llmUpdateState-array",
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{
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"key": "subject",
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"enumValues": "",
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"jsonSchema": "",
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"description": "Subject of the email"
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{
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"key": "body",
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"type": "string",
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"enumValues": "",
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"jsonSchema": "",
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"description": "Body of the email"
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{
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"id": "llmAgentflow_0-output-llmAgentflow",
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"label": "LLM",
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"name": "llmAgentflow"
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}
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],
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"outputs": {},
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},
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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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"source": "agentAgentflow_0",
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{
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"source": "humanInputAgentflow_0",
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"sourceHandle": "humanInputAgentflow_0-output-1",
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"target": "loopAgentflow_0",
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"sourceColor": "#6E6EFD",
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"type": "agentFlow",
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"id": "humanInputAgentflow_0-humanInputAgentflow_0-output-1-loopAgentflow_0-loopAgentflow_0"
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},
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{
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"source": "humanInputAgentflow_0",
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"sourceHandle": "humanInputAgentflow_0-output-0",
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"target": "llmAgentflow_0",
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"targetHandle": "llmAgentflow_0",
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"data": {
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"type": "agentFlow",
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{
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"source": "llmAgentflow_0",
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}
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]
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}
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