mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 23:01:09 +03:00
Henry Heng
a107aa7a77
* Enhancement: Update issue templates and add new tools - Updated bug report template to include a default label of 'bug'. - Updated feature request template to include a default label of 'enhancement'. - Added new credential class for Agentflow API. - Enhanced Agent and HTTP nodes to improve tool management and error handling. - Added deprecation badges to several agent and chain classes. - Introduced new tools for handling requests (GET, POST, DELETE, PUT) with improved error handling. - Added new chatflows and agentflows for various use cases, including document QnA and translation. - Updated UI components for better handling of agent flows and marketplace interactions. - Refactored utility functions for improved functionality and clarity. * Refactor: Remove beta badge and streamline template title assignment - Removed the 'BETA' badge from the ExtractMetadataRetriever class. - Simplified the title assignment in the agentflowv2 generator by using a variable instead of inline string manipulation.
545 lines
24 KiB
JSON
545 lines
24 KiB
JSON
{
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"description": "Translate text from one language to another",
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"usecases": ["Basic"],
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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": 64,
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"y": 98.5
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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": 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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"id": "startAgentflow_0-input-startEphemeralMemory-boolean",
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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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"optional": true
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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": "chatInput",
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"formTitle": "",
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"formDescription": "",
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"formInputTypes": "",
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"startEphemeralMemory": "",
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"startState": "",
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"startPersistState": ""
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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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"positionAbsolute": {
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"x": 64,
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"y": 98.5
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},
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"selected": false,
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"dragging": 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": 234.5,
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"y": 96.25
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},
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"data": {
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"id": "llmAgentflow_0",
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"label": "Translator",
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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": false
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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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},
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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": false
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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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{
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"label": "JSON Structured Output",
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"name": "llmStructuredOutput",
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"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",
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"name": "key",
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"type": "string"
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},
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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": "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",
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"name": "jsonArray"
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}
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]
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},
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{
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"label": "Enum Values",
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"name": "enumValues",
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"type": "string",
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"placeholder": "value1, value2, value3",
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"description": "Enum values. Separated by comma",
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"optional": true,
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"show": {
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"llmStructuredOutput[$index].type": "enum"
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}
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},
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{
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"label": "JSON Schema",
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"name": "jsonSchema",
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"type": "code",
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"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}",
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"description": "JSON schema for the structured output",
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"optional": true,
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"show": {
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"llmStructuredOutput[$index].type": "jsonArray"
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}
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},
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{
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"label": "Description",
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"name": "description",
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"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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"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": "llmAgentflow_0-input-llmUpdateState-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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"llmModel": "chatGoogleGenerativeAI",
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"llmMessages": [
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{
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"role": "system",
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"content": "<p>You are a helpful assistant that translates English to Japanese language. Return only Japanese language</p>"
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},
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{
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"role": "user",
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"content": "<p>English:</p><p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p><p>Japanese:</p><p></p>"
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}
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],
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"llmEnableMemory": false,
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"llmReturnResponseAs": "userMessage",
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"llmStructuredOutput": "",
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"llmUpdateState": "",
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"llmModelConfig": {
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"cache": "",
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"contextCache": "",
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"modelName": "gemini-2.0-flash",
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"customModelName": "",
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"temperature": 0.9,
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"streaming": true,
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"maxOutputTokens": "",
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"topP": "",
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"topK": "",
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"harmCategory": "",
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"harmBlockThreshold": "",
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"baseUrl": "",
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"allowImageUploads": "",
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"llmModel": "chatGoogleGenerativeAI"
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}
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},
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"outputAnchors": [
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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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"selected": false
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},
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"type": "agentFlow",
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"width": 200,
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"height": 72,
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"selected": false,
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"positionAbsolute": {
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"x": 234.5,
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"y": 96.25
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},
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"dragging": false
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}
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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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"target": "llmAgentflow_0",
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"targetHandle": "llmAgentflow_0",
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"data": {
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"sourceColor": "#7EE787",
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"targetColor": "#64B5F6",
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"isHumanInput": false
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},
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"type": "agentFlow",
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"id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-llmAgentflow_0-llmAgentflow_0"
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}
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]
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}
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