{
    "description": "An agent based approach using AgentflowV2 to perform self-correcting question answering over documents",
    "usecases": ["Reflective Agent"],
    "nodes": [
        {
            "id": "startAgentflow_0",
            "type": "agentFlow",
            "position": {
                "x": -261.54516755177303,
                "y": 62.39402454297252
            },
            "data": {
                "id": "startAgentflow_0",
                "label": "Start",
                "version": 1.1,
                "name": "startAgentflow",
                "type": "Start",
                "color": "#7EE787",
                "hideInput": true,
                "baseClasses": ["Start"],
                "category": "Agent Flows",
                "description": "Starting point of the agentflow",
                "inputParams": [
                    {
                        "label": "Input Type",
                        "name": "startInputType",
                        "type": "options",
                        "options": [
                            {
                                "label": "Chat Input",
                                "name": "chatInput",
                                "description": "Start the conversation with chat input"
                            },
                            {
                                "label": "Form Input",
                                "name": "formInput",
                                "description": "Start the workflow with form inputs"
                            }
                        ],
                        "default": "chatInput",
                        "id": "startAgentflow_0-input-startInputType-options",
                        "display": true
                    },
                    {
                        "label": "Form Title",
                        "name": "formTitle",
                        "type": "string",
                        "placeholder": "Please Fill Out The Form",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "id": "startAgentflow_0-input-formTitle-string",
                        "display": false
                    },
                    {
                        "label": "Form Description",
                        "name": "formDescription",
                        "type": "string",
                        "placeholder": "Complete all fields below to continue",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "id": "startAgentflow_0-input-formDescription-string",
                        "display": false
                    },
                    {
                        "label": "Form Input Types",
                        "name": "formInputTypes",
                        "description": "Specify the type of form input",
                        "type": "array",
                        "show": {
                            "startInputType": "formInput"
                        },
                        "array": [
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Options",
                                        "name": "options"
                                    }
                                ],
                                "default": "string"
                            },
                            {
                                "label": "Label",
                                "name": "label",
                                "type": "string",
                                "placeholder": "Label for the input"
                            },
                            {
                                "label": "Variable Name",
                                "name": "name",
                                "type": "string",
                                "placeholder": "Variable name for the input (must be camel case)",
                                "description": "Variable name must be camel case. For example: firstName, lastName, etc."
                            },
                            {
                                "label": "Add Options",
                                "name": "addOptions",
                                "type": "array",
                                "show": {
                                    "formInputTypes[$index].type": "options"
                                },
                                "array": [
                                    {
                                        "label": "Option",
                                        "name": "option",
                                        "type": "string"
                                    }
                                ]
                            }
                        ],
                        "id": "startAgentflow_0-input-formInputTypes-array",
                        "display": false
                    },
                    {
                        "label": "Ephemeral Memory",
                        "name": "startEphemeralMemory",
                        "type": "boolean",
                        "description": "Start fresh for every execution without past chat history",
                        "optional": true
                    },
                    {
                        "label": "Flow State",
                        "name": "startState",
                        "description": "Runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string",
                                "placeholder": "Foo"
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "placeholder": "Bar"
                            }
                        ],
                        "id": "startAgentflow_0-input-startState-array",
                        "display": true
                    },
                    {
                        "label": "Persist State",
                        "name": "startPersistState",
                        "type": "boolean",
                        "description": "Persist the state in the same session",
                        "optional": true,
                        "id": "startAgentflow_0-input-startPersistState-boolean",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "startInputType": "chatInput",
                    "formTitle": "",
                    "formDescription": "",
                    "formInputTypes": "",
                    "startState": [
                        {
                            "key": "query",
                            "value": ""
                        }
                    ]
                },
                "outputAnchors": [
                    {
                        "id": "startAgentflow_0-output-startAgentflow",
                        "label": "Start",
                        "name": "startAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "width": 101,
            "height": 65,
            "selected": false,
            "positionAbsolute": {
                "x": -261.54516755177303,
                "y": 62.39402454297252
            },
            "dragging": false
        },
        {
            "id": "conditionAgentAgentflow_0",
            "position": {
                "x": -114.84790789259606,
                "y": 53.22583468442305
            },
            "data": {
                "id": "conditionAgentAgentflow_0",
                "label": "Check if query valid",
                "version": 1,
                "name": "conditionAgentAgentflow",
                "type": "ConditionAgent",
                "color": "#ff8fab",
                "baseClasses": ["ConditionAgent"],
                "category": "Agent Flows",
                "description": "Utilize an agent to split flows based on dynamic conditions",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "conditionAgentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "conditionAgentAgentflow_0-input-conditionAgentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Instructions",
                        "name": "conditionAgentInstructions",
                        "type": "string",
                        "description": "A general instructions of what the condition agent should do",
                        "rows": 4,
                        "acceptVariable": true,
                        "placeholder": "Determine if the user is interested in learning about AI",
                        "id": "conditionAgentAgentflow_0-input-conditionAgentInstructions-string",
                        "display": true
                    },
                    {
                        "label": "Input",
                        "name": "conditionAgentInput",
                        "type": "string",
                        "description": "Input to be used for the condition agent",
                        "rows": 4,
                        "acceptVariable": true,
                        "default": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p>",
                        "id": "conditionAgentAgentflow_0-input-conditionAgentInput-string",
                        "display": true
                    },
                    {
                        "label": "Scenarios",
                        "name": "conditionAgentScenarios",
                        "description": "Define the scenarios that will be used as the conditions to split the flow",
                        "type": "array",
                        "array": [
                            {
                                "label": "Scenario",
                                "name": "scenario",
                                "type": "string",
                                "placeholder": "User is asking for a pizza"
                            }
                        ],
                        "default": [
                            {
                                "scenario": "AI Related"
                            },
                            {
                                "scenario": "General"
                            }
                        ],
                        "id": "conditionAgentAgentflow_0-input-conditionAgentScenarios-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "conditionAgentModel": "chatOpenAI",
                    "conditionAgentInstructions": "<p>Check if user is asking about AI related topic, or just general query</p>",
                    "conditionAgentInput": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p>",
                    "conditionAgentScenarios": [
                        {
                            "scenario": "AI Related"
                        },
                        {
                            "scenario": "General"
                        }
                    ],
                    "conditionAgentModelConfig": {
                        "credential": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "conditionAgentModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "conditionAgentAgentflow_0-output-0",
                        "label": "Condition Agent",
                        "name": "conditionAgentAgentflow"
                    },
                    {
                        "id": "conditionAgentAgentflow_0-output-1",
                        "label": "Condition Agent",
                        "name": "conditionAgentAgentflow"
                    }
                ],
                "outputs": {
                    "conditionAgentAgentflow": ""
                },
                "selected": false
            },
            "type": "agentFlow",
            "width": 190,
            "height": 80,
            "selected": false,
            "positionAbsolute": {
                "x": -114.84790789259606,
                "y": 53.22583468442305
            },
            "dragging": false
        },
        {
            "id": "llmAgentflow_0",
            "position": {
                "x": 158.29022963739308,
                "y": -20.666608318859062
            },
            "data": {
                "id": "llmAgentflow_0",
                "label": "Generate Query",
                "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",
                                "placeholder": "Description of the key"
                            }
                        ],
                        "id": "llmAgentflow_0-input-llmStructuredOutput-array",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "llmUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "llmAgentflow_0-input-llmUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "llmModel": "chatOpenAI",
                    "llmMessages": [
                        {
                            "role": "system",
                            "content": "<p>Given the user question and history, construct a short string that can be used for searching vector database. Only generate the query, no meta comments, no explanation</p><p><strong>Example</strong>:</p><p>Question: what are the events happening today?</p><p>Query: today's event</p><p></p><p><strong>Example</strong>:</p><p>Question: how about the address?</p><p>Query: business address of the shop</p><p></p><p>Question: <span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span></p><p>Query:</p>"
                        }
                    ],
                    "llmEnableMemory": true,
                    "llmMemoryType": "allMessages",
                    "llmUserMessage": "",
                    "llmReturnResponseAs": "userMessage",
                    "llmStructuredOutput": "",
                    "llmUpdateState": [
                        {
                            "key": "query",
                            "value": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"output\" data-label=\"output\">{{ output }}</span></p>"
                        }
                    ],
                    "llmModelConfig": {
                        "cache": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "llmModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "llmAgentflow_0-output-llmAgentflow",
                        "label": "LLM",
                        "name": "llmAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 168,
            "height": 71,
            "selected": false,
            "positionAbsolute": {
                "x": 158.29022963739308,
                "y": -20.666608318859062
            },
            "dragging": false
        },
        {
            "id": "llmAgentflow_1",
            "position": {
                "x": 165.82871786911647,
                "y": 92.15131805222342
            },
            "data": {
                "id": "llmAgentflow_1",
                "label": "General Answer",
                "version": 1,
                "name": "llmAgentflow",
                "type": "LLM",
                "color": "#64B5F6",
                "baseClasses": ["LLM"],
                "category": "Agent Flows",
                "description": "Large language models to analyze user-provided inputs and generate responses",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "llmModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "llmAgentflow_1-input-llmModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Messages",
                        "name": "llmMessages",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Role",
                                "name": "role",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "System",
                                        "name": "system"
                                    },
                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "llmAgentflow_1-input-llmMessages-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "llmEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "llmAgentflow_1-input-llmEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "llmMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "llmEnableMemory": true
                        },
                        "id": "llmAgentflow_1-input-llmMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "llmMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "llmMemoryType": "windowSize"
                        },
                        "id": "llmAgentflow_1-input-llmMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "llmMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "llmMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "llmAgentflow_1-input-llmMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "llmUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
                        "rows": 4,
                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "llmEnableMemory": true
                        },
                        "id": "llmAgentflow_1-input-llmUserMessage-string",
                        "display": true
                    },
                    {
                        "label": "Return Response As",
                        "name": "llmReturnResponseAs",
                        "type": "options",
                        "options": [
                            {
                                "label": "User Message",
                                "name": "userMessage"
                            },
                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
                            }
                        ],
                        "default": "userMessage",
                        "id": "llmAgentflow_1-input-llmReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "JSON Structured Output",
                        "name": "llmStructuredOutput",
                        "description": "Instruct the LLM to give output in a JSON structured schema",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string"
                            },
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "String Array",
                                        "name": "stringArray"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Enum",
                                        "name": "enum"
                                    },
                                    {
                                        "label": "JSON Array",
                                        "name": "jsonArray"
                                    }
                                ]
                            },
                            {
                                "label": "Enum Values",
                                "name": "enumValues",
                                "type": "string",
                                "placeholder": "value1, value2, value3",
                                "description": "Enum values. Separated by comma",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "enum"
                                }
                            },
                            {
                                "label": "JSON Schema",
                                "name": "jsonSchema",
                                "type": "code",
                                "placeholder": "{\n    \"answer\": {\n        \"type\": \"string\",\n        \"description\": \"Value of the answer\"\n    },\n    \"reason\": {\n        \"type\": \"string\",\n        \"description\": \"Reason for the answer\"\n    },\n    \"optional\": {\n        \"type\": \"boolean\"\n    },\n    \"count\": {\n        \"type\": \"number\"\n    },\n    \"children\": {\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"value\": {\n                    \"type\": \"string\",\n                    \"description\": \"Value of the children's answer\"\n                }\n            }\n        }\n    }\n}",
                                "description": "JSON schema for the structured output",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "jsonArray"
                                }
                            },
                            {
                                "label": "Description",
                                "name": "description",
                                "type": "string",
                                "placeholder": "Description of the key"
                            }
                        ],
                        "id": "llmAgentflow_1-input-llmStructuredOutput-array",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "llmUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "llmAgentflow_1-input-llmUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "llmModel": "chatOpenAI",
                    "llmMessages": [],
                    "llmEnableMemory": true,
                    "llmMemoryType": "allMessages",
                    "llmUserMessage": "",
                    "llmReturnResponseAs": "userMessage",
                    "llmStructuredOutput": "",
                    "llmUpdateState": "",
                    "llmModelConfig": {
                        "credential": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "llmModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "llmAgentflow_1-output-llmAgentflow",
                        "label": "LLM",
                        "name": "llmAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 168,
            "height": 71,
            "selected": false,
            "positionAbsolute": {
                "x": 165.82871786911647,
                "y": 92.15131805222342
            },
            "dragging": false
        },
        {
            "id": "retrieverAgentflow_0",
            "position": {
                "x": 396.87575963946966,
                "y": -17.41189617164227
            },
            "data": {
                "id": "retrieverAgentflow_0",
                "label": "Retriever Vector DB",
                "version": 1,
                "name": "retrieverAgentflow",
                "type": "Retriever",
                "color": "#b8bedd",
                "baseClasses": ["Retriever"],
                "category": "Agent Flows",
                "description": "Retrieve information from vector database",
                "inputParams": [
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "retrieverKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Document stores to retrieve information from. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
                                "type": "asyncOptions",
                                "loadMethod": "listStores"
                            }
                        ],
                        "id": "retrieverAgentflow_0-input-retrieverKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Retriever Query",
                        "name": "retrieverQuery",
                        "type": "string",
                        "placeholder": "Enter your query here",
                        "rows": 4,
                        "acceptVariable": true,
                        "id": "retrieverAgentflow_0-input-retrieverQuery-string",
                        "display": true
                    },
                    {
                        "label": "Output Format",
                        "name": "outputFormat",
                        "type": "options",
                        "options": [
                            {
                                "label": "Text",
                                "name": "text"
                            },
                            {
                                "label": "Text with Metadata",
                                "name": "textWithMetadata"
                            }
                        ],
                        "default": "text",
                        "id": "retrieverAgentflow_0-input-outputFormat-options",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "retrieverUpdateState",
                        "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": "retrieverAgentflow_0-input-retrieverUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "retrieverKnowledgeDocumentStores": [
                        {
                            "documentStore": "570df92b-087b-4d3b-9462-7a11283454a5:ai paper"
                        }
                    ],
                    "retrieverQuery": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.query\" data-label=\"$flow.state.query\">{{ $flow.state.query }}</span> </p>",
                    "outputFormat": "text",
                    "retrieverUpdateState": ""
                },
                "outputAnchors": [
                    {
                        "id": "retrieverAgentflow_0-output-retrieverAgentflow",
                        "label": "Retriever",
                        "name": "retrieverAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 190,
            "height": 65,
            "selected": false,
            "positionAbsolute": {
                "x": 396.87575963946966,
                "y": -17.41189617164227
            },
            "dragging": false
        },
        {
            "id": "conditionAgentAgentflow_1",
            "position": {
                "x": 647.9586712853835,
                "y": -24.93225611691784
            },
            "data": {
                "id": "conditionAgentAgentflow_1",
                "label": "Check if docs relevant",
                "version": 1,
                "name": "conditionAgentAgentflow",
                "type": "ConditionAgent",
                "color": "#ff8fab",
                "baseClasses": ["ConditionAgent"],
                "category": "Agent Flows",
                "description": "Utilize an agent to split flows based on dynamic conditions",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "conditionAgentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "conditionAgentAgentflow_1-input-conditionAgentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Instructions",
                        "name": "conditionAgentInstructions",
                        "type": "string",
                        "description": "A general instructions of what the condition agent should do",
                        "rows": 4,
                        "acceptVariable": true,
                        "placeholder": "Determine if the user is interested in learning about AI",
                        "id": "conditionAgentAgentflow_1-input-conditionAgentInstructions-string",
                        "display": true
                    },
                    {
                        "label": "Input",
                        "name": "conditionAgentInput",
                        "type": "string",
                        "description": "Input to be used for the condition agent",
                        "rows": 4,
                        "acceptVariable": true,
                        "default": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p>",
                        "id": "conditionAgentAgentflow_1-input-conditionAgentInput-string",
                        "display": true
                    },
                    {
                        "label": "Scenarios",
                        "name": "conditionAgentScenarios",
                        "description": "Define the scenarios that will be used as the conditions to split the flow",
                        "type": "array",
                        "array": [
                            {
                                "label": "Scenario",
                                "name": "scenario",
                                "type": "string",
                                "placeholder": "User is asking for a pizza"
                            }
                        ],
                        "default": [
                            {
                                "scenario": "Relevant"
                            },
                            {
                                "scenario": "Irrelevant"
                            }
                        ],
                        "id": "conditionAgentAgentflow_1-input-conditionAgentScenarios-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "conditionAgentModel": "chatOpenAI",
                    "conditionAgentInstructions": "<p>Determine if the document is relevant to user question. User question is <span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span></p>",
                    "conditionAgentInput": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"retrieverAgentflow_0\" data-label=\"retrieverAgentflow_0\">{{ retrieverAgentflow_0 }}</span> </p>",
                    "conditionAgentScenarios": [
                        {
                            "scenario": "Relevant"
                        },
                        {
                            "scenario": "Irrelevant"
                        }
                    ],
                    "conditionAgentModelConfig": {
                        "credential": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "conditionAgentModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "conditionAgentAgentflow_1-output-0",
                        "label": "Condition Agent",
                        "name": "conditionAgentAgentflow"
                    },
                    {
                        "id": "conditionAgentAgentflow_1-output-1",
                        "label": "Condition Agent",
                        "name": "conditionAgentAgentflow"
                    }
                ],
                "outputs": {
                    "conditionAgentAgentflow": ""
                },
                "selected": false
            },
            "type": "agentFlow",
            "width": 206,
            "height": 80,
            "selected": false,
            "positionAbsolute": {
                "x": 647.9586712853835,
                "y": -24.93225611691784
            },
            "dragging": false
        },
        {
            "id": "llmAgentflow_2",
            "position": {
                "x": 920.5416793343077,
                "y": -75.82606372993476
            },
            "data": {
                "id": "llmAgentflow_2",
                "label": "Generate Response",
                "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_2-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_2-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_2-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_2-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_2-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_2-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_2-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_2-input-llmReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "JSON Structured Output",
                        "name": "llmStructuredOutput",
                        "description": "Instruct the LLM to give output in a JSON structured schema",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string"
                            },
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "String Array",
                                        "name": "stringArray"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Enum",
                                        "name": "enum"
                                    },
                                    {
                                        "label": "JSON Array",
                                        "name": "jsonArray"
                                    }
                                ]
                            },
                            {
                                "label": "Enum Values",
                                "name": "enumValues",
                                "type": "string",
                                "placeholder": "value1, value2, value3",
                                "description": "Enum values. Separated by comma",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "enum"
                                }
                            },
                            {
                                "label": "JSON Schema",
                                "name": "jsonSchema",
                                "type": "code",
                                "placeholder": "{\n    \"answer\": {\n        \"type\": \"string\",\n        \"description\": \"Value of the answer\"\n    },\n    \"reason\": {\n        \"type\": \"string\",\n        \"description\": \"Reason for the answer\"\n    },\n    \"optional\": {\n        \"type\": \"boolean\"\n    },\n    \"count\": {\n        \"type\": \"number\"\n    },\n    \"children\": {\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"value\": {\n                    \"type\": \"string\",\n                    \"description\": \"Value of the children's answer\"\n                }\n            }\n        }\n    }\n}",
                                "description": "JSON schema for the structured output",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "jsonArray"
                                }
                            },
                            {
                                "label": "Description",
                                "name": "description",
                                "type": "string",
                                "placeholder": "Description of the key"
                            }
                        ],
                        "id": "llmAgentflow_2-input-llmStructuredOutput-array",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "llmUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "llmAgentflow_2-input-llmUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "llmModel": "chatOpenAI",
                    "llmMessages": "",
                    "llmEnableMemory": true,
                    "llmMemoryType": "allMessages",
                    "llmUserMessage": "<p>Given the question: <span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span></p><p>And the findings: <span class=\"variable\" data-type=\"mention\" data-id=\"retrieverAgentflow_0\" data-label=\"retrieverAgentflow_0\">{{ retrieverAgentflow_0 }}</span></p><p>Output the final response</p>",
                    "llmReturnResponseAs": "userMessage",
                    "llmStructuredOutput": "",
                    "llmUpdateState": "",
                    "llmModelConfig": {
                        "cache": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "llmModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "llmAgentflow_2-output-llmAgentflow",
                        "label": "LLM",
                        "name": "llmAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 190,
            "height": 71,
            "selected": false,
            "positionAbsolute": {
                "x": 920.5416793343077,
                "y": -75.82606372993476
            },
            "dragging": false
        },
        {
            "id": "llmAgentflow_3",
            "position": {
                "x": 921.1014768144131,
                "y": 26.898902739007895
            },
            "data": {
                "id": "llmAgentflow_3",
                "label": "Regenerate Question",
                "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_3-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_3-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_3-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_3-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_3-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_3-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_3-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_3-input-llmReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "JSON Structured Output",
                        "name": "llmStructuredOutput",
                        "description": "Instruct the LLM to give output in a JSON structured schema",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "string"
                            },
                            {
                                "label": "Type",
                                "name": "type",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "String",
                                        "name": "string"
                                    },
                                    {
                                        "label": "String Array",
                                        "name": "stringArray"
                                    },
                                    {
                                        "label": "Number",
                                        "name": "number"
                                    },
                                    {
                                        "label": "Boolean",
                                        "name": "boolean"
                                    },
                                    {
                                        "label": "Enum",
                                        "name": "enum"
                                    },
                                    {
                                        "label": "JSON Array",
                                        "name": "jsonArray"
                                    }
                                ]
                            },
                            {
                                "label": "Enum Values",
                                "name": "enumValues",
                                "type": "string",
                                "placeholder": "value1, value2, value3",
                                "description": "Enum values. Separated by comma",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "enum"
                                }
                            },
                            {
                                "label": "JSON Schema",
                                "name": "jsonSchema",
                                "type": "code",
                                "placeholder": "{\n    \"answer\": {\n        \"type\": \"string\",\n        \"description\": \"Value of the answer\"\n    },\n    \"reason\": {\n        \"type\": \"string\",\n        \"description\": \"Reason for the answer\"\n    },\n    \"optional\": {\n        \"type\": \"boolean\"\n    },\n    \"count\": {\n        \"type\": \"number\"\n    },\n    \"children\": {\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"value\": {\n                    \"type\": \"string\",\n                    \"description\": \"Value of the children's answer\"\n                }\n            }\n        }\n    }\n}",
                                "description": "JSON schema for the structured output",
                                "optional": true,
                                "show": {
                                    "llmStructuredOutput[$index].type": "jsonArray"
                                }
                            },
                            {
                                "label": "Description",
                                "name": "description",
                                "type": "string",
                                "placeholder": "Description of the key"
                            }
                        ],
                        "id": "llmAgentflow_3-input-llmStructuredOutput-array",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "llmUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "llmAgentflow_3-input-llmUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "llmModel": "chatOpenAI",
                    "llmMessages": [
                        {
                            "role": "system",
                            "content": "<p>You are a helpful assistant that can transform the query to produce a better question.</p>"
                        }
                    ],
                    "llmEnableMemory": true,
                    "llmMemoryType": "allMessages",
                    "llmUserMessage": "<p>Look at the input and try to reason about the underlying semantic intent / meaning.</p><p>Here is the initial question:</p><p><span class=\"variable\" data-type=\"mention\" data-id=\"$flow.state.query\" data-label=\"$flow.state.query\">{{ $flow.state.query }}</span> </p><p>Formulate an improved question:</p><p></p>",
                    "llmReturnResponseAs": "userMessage",
                    "llmStructuredOutput": "",
                    "llmUpdateState": [
                        {
                            "key": "query",
                            "value": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"output\" data-label=\"output\">{{ output }}</span> </p>"
                        }
                    ],
                    "llmModelConfig": {
                        "cache": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": "",
                        "imageResolution": "low",
                        "reasoningEffort": "medium",
                        "llmModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "llmAgentflow_3-output-llmAgentflow",
                        "label": "LLM",
                        "name": "llmAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 199,
            "height": 71,
            "selected": false,
            "positionAbsolute": {
                "x": 921.1014768144131,
                "y": 26.898902739007895
            },
            "dragging": false
        },
        {
            "id": "loopAgentflow_0",
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                "x": 1160.0553838519766,
                "y": 30.06685001229809
            },
            "data": {
                "id": "loopAgentflow_0",
                "label": "Loop back to Retriever",
                "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": "retrieverAgentflow_0-Retriever Vector DB",
                    "maxLoopCount": 5
                },
                "outputAnchors": [],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 208,
            "height": 65,
            "selected": false,
            "positionAbsolute": {
                "x": 1160.0553838519766,
                "y": 30.06685001229809
            },
            "dragging": false
        },
        {
            "id": "stickyNoteAgentflow_0",
            "position": {
                "x": 145.5705985486235,
                "y": -116.29641765720946
            },
            "data": {
                "id": "stickyNoteAgentflow_0",
                "label": "Sticky Note",
                "version": 1,
                "name": "stickyNoteAgentflow",
                "type": "StickyNote",
                "color": "#fee440",
                "baseClasses": ["StickyNote"],
                "category": "Agent Flows",
                "description": "Add notes to the agent flow",
                "inputParams": [
                    {
                        "label": "",
                        "name": "note",
                        "type": "string",
                        "rows": 1,
                        "placeholder": "Type something here",
                        "optional": true,
                        "id": "stickyNoteAgentflow_0-input-note-string",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "note": "First update of the state.query"
                },
                "outputAnchors": [
                    {
                        "id": "stickyNoteAgentflow_0-output-stickyNoteAgentflow",
                        "label": "Sticky Note",
                        "name": "stickyNoteAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "stickyNote",
            "width": 189,
            "height": 81,
            "selected": false,
            "positionAbsolute": {
                "x": 145.5705985486235,
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            "dragging": false
        },
        {
            "id": "stickyNoteAgentflow_1",
            "position": {
                "x": 923.4413972289242,
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            "data": {
                "id": "stickyNoteAgentflow_1",
                "label": "Sticky Note (1)",
                "version": 1,
                "name": "stickyNoteAgentflow",
                "type": "StickyNote",
                "color": "#fee440",
                "baseClasses": ["StickyNote"],
                "category": "Agent Flows",
                "description": "Add notes to the agent flow",
                "inputParams": [
                    {
                        "label": "",
                        "name": "note",
                        "type": "string",
                        "rows": 1,
                        "placeholder": "Type something here",
                        "optional": true,
                        "id": "stickyNoteAgentflow_1-input-note-string",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "note": "Second update of state.query"
                },
                "outputAnchors": [
                    {
                        "id": "stickyNoteAgentflow_1-output-stickyNoteAgentflow",
                        "label": "Sticky Note",
                        "name": "stickyNoteAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "stickyNote",
            "width": 189,
            "height": 81,
            "selected": false,
            "positionAbsolute": {
                "x": 923.4413972289242,
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