{
    "description": "A customer support agent that can handoff tasks to different agents based on scenarios",
    "usecases": ["Customer Support"],
    "nodes": [
        {
            "id": "startAgentflow_0",
            "type": "agentFlow",
            "position": {
                "x": -162.58207424380598,
                "y": 117.81335679543406
            },
            "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": ""
                },
                "outputAnchors": [
                    {
                        "id": "startAgentflow_0-output-startAgentflow",
                        "label": "Start",
                        "name": "startAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "width": 101,
            "height": 65,
            "selected": false,
            "positionAbsolute": {
                "x": -162.58207424380598,
                "y": 117.81335679543406
            },
            "dragging": false
        },
        {
            "id": "conditionAgentAgentflow_0",
            "position": {
                "x": -11.580228601760105,
                "y": 99.42548336780041
            },
            "data": {
                "id": "conditionAgentAgentflow_0",
                "label": "Detect User Intention",
                "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": "User is asking for refund"
                            },
                            {
                                "scenario": "User is looking for item"
                            }
                        ],
                        "id": "conditionAgentAgentflow_0-input-conditionAgentScenarios-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "conditionAgentModel": "chatOpenAI",
                    "conditionAgentInstructions": "<p>You are a customer support agent for ACME Inc.</p><p>Follow the following routine with the user:</p><p>1. First, greet the user and see how you can help the user</p><p>2. If user is looking for items, handoff to the Sales Agent</p><p>3. If user is looking for refund, handoff to Refund Agent</p><p>4. If user is asking general query, be helpful and answer the query</p><p>Note: Transfers between agents are handled seamlessly in the background; do not mention or draw attention to these transfers in your conversation with the user</p>",
                    "conditionAgentInput": "<p><span class=\"variable\" data-type=\"mention\" data-id=\"question\" data-label=\"question\">{{ question }}</span> </p>",
                    "conditionAgentScenarios": [
                        {
                            "scenario": "User is asking for refund"
                        },
                        {
                            "scenario": "User is looking for item"
                        },
                        {
                            "scenario": "User is chatting casually or asking general question"
                        }
                    ],
                    "conditionAgentModelConfig": {
                        "cache": "",
                        "modelName": "gpt-4o-mini",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxTokens": "",
                        "topP": "",
                        "frequencyPenalty": "",
                        "presencePenalty": "",
                        "timeout": "",
                        "strictToolCalling": "",
                        "stopSequence": "",
                        "basepath": "",
                        "proxyUrl": "",
                        "baseOptions": "",
                        "allowImageUploads": true,
                        "reasoningEffort": "medium",
                        "conditionAgentModel": "chatOpenAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "conditionAgentAgentflow_0-output-0",
                        "label": 0,
                        "name": 0,
                        "description": "Condition 0"
                    },
                    {
                        "id": "conditionAgentAgentflow_0-output-1",
                        "label": 1,
                        "name": 1,
                        "description": "Condition 1"
                    },
                    {
                        "id": "conditionAgentAgentflow_0-output-2",
                        "label": 2,
                        "name": 2,
                        "description": "Condition 2"
                    }
                ],
                "outputs": {
                    "conditionAgentAgentflow": ""
                },
                "selected": false
            },
            "type": "agentFlow",
            "width": 200,
            "height": 100,
            "selected": false,
            "positionAbsolute": {
                "x": -11.580228601760105,
                "y": 99.42548336780041
            },
            "dragging": false
        },
        {
            "id": "agentAgentflow_0",
            "position": {
                "x": 253.4811075082052,
                "y": 17.0330403645183
            },
            "data": {
                "id": "agentAgentflow_0",
                "label": "Refund Agent",
                "version": 1,
                "name": "agentAgentflow",
                "type": "Agent",
                "color": "#4DD0E1",
                "baseClasses": ["Agent"],
                "category": "Agent Flows",
                "description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "agentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "agentAgentflow_0-input-agentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Messages",
                        "name": "agentMessages",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Role",
                                "name": "role",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "System",
                                        "name": "system"
                                    },
                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "agentAgentflow_0-input-agentMessages-array",
                        "display": true
                    },
                    {
                        "label": "Tools",
                        "name": "agentTools",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Tool",
                                "name": "agentSelectedTool",
                                "type": "asyncOptions",
                                "loadMethod": "listTools",
                                "loadConfig": true
                            },
                            {
                                "label": "Require Human Input",
                                "name": "agentSelectedToolRequiresHumanInput",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "id": "agentAgentflow_0-input-agentTools-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "agentKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
                                "type": "asyncOptions",
                                "loadMethod": "listStores"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
                                "type": "string",
                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_0-input-agentKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Vector Embeddings)",
                        "name": "agentKnowledgeVSEmbeddings",
                        "type": "array",
                        "description": "Give your agent context about different document sources from existing vector stores and embeddings",
                        "array": [
                            {
                                "label": "Vector Store",
                                "name": "vectorStore",
                                "type": "asyncOptions",
                                "loadMethod": "listVectorStores",
                                "loadConfig": true
                            },
                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
                                "type": "asyncOptions",
                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
                            },
                            {
                                "label": "Knowledge Name",
                                "name": "knowledgeName",
                                "type": "string",
                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
                                "type": "string",
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_0-input-agentKnowledgeVSEmbeddings-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_0-input-agentEnableMemory-boolean",
                        "display": true
                    },
                    {
                        "label": "Memory Type",
                        "name": "agentMemoryType",
                        "type": "options",
                        "options": [
                            {
                                "label": "All Messages",
                                "name": "allMessages",
                                "description": "Retrieve all messages from the conversation"
                            },
                            {
                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
                            },
                            {
                                "label": "Conversation Summary",
                                "name": "conversationSummary",
                                "description": "Summarizes the whole conversation"
                            },
                            {
                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
                                "description": "Summarize conversations once token limit is reached. Default to 2000"
                            }
                        ],
                        "optional": true,
                        "default": "allMessages",
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_0-input-agentMemoryType-options",
                        "display": true
                    },
                    {
                        "label": "Window Size",
                        "name": "agentMemoryWindowSize",
                        "type": "number",
                        "default": "20",
                        "description": "Uses a fixed window size to surface the last N messages",
                        "show": {
                            "agentMemoryType": "windowSize"
                        },
                        "id": "agentAgentflow_0-input-agentMemoryWindowSize-number",
                        "display": false
                    },
                    {
                        "label": "Max Token Limit",
                        "name": "agentMemoryMaxTokenLimit",
                        "type": "number",
                        "default": "2000",
                        "description": "Summarize conversations once token limit is reached. Default to 2000",
                        "show": {
                            "agentMemoryType": "conversationSummaryBuffer"
                        },
                        "id": "agentAgentflow_0-input-agentMemoryMaxTokenLimit-number",
                        "display": false
                    },
                    {
                        "label": "Input Message",
                        "name": "agentUserMessage",
                        "type": "string",
                        "description": "Add an input message as user message at the end of the conversation",
                        "rows": 4,
                        "optional": true,
                        "acceptVariable": true,
                        "show": {
                            "agentEnableMemory": true
                        },
                        "id": "agentAgentflow_0-input-agentUserMessage-string",
                        "display": true
                    },
                    {
                        "label": "Return Response As",
                        "name": "agentReturnResponseAs",
                        "type": "options",
                        "options": [
                            {
                                "label": "User Message",
                                "name": "userMessage"
                            },
                            {
                                "label": "Assistant Message",
                                "name": "assistantMessage"
                            }
                        ],
                        "default": "userMessage",
                        "id": "agentAgentflow_0-input-agentReturnResponseAs-options",
                        "display": true
                    },
                    {
                        "label": "Update Flow State",
                        "name": "agentUpdateState",
                        "description": "Update runtime state during the execution of the workflow",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Key",
                                "name": "key",
                                "type": "asyncOptions",
                                "loadMethod": "listRuntimeStateKeys",
                                "freeSolo": true
                            },
                            {
                                "label": "Value",
                                "name": "value",
                                "type": "string",
                                "acceptVariable": true,
                                "acceptNodeOutputAsVariable": true
                            }
                        ],
                        "id": "agentAgentflow_0-input-agentUpdateState-array",
                        "display": true
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "agentModel": "chatGoogleGenerativeAI",
                    "agentMessages": [
                        {
                            "role": "system",
                            "content": "<p>You are a refund agent. Help the user with refunds.</p>"
                        }
                    ],
                    "agentTools": "",
                    "agentKnowledgeDocumentStores": "",
                    "agentEnableMemory": true,
                    "agentMemoryType": "allMessages",
                    "agentUserMessage": "",
                    "agentReturnResponseAs": "userMessage",
                    "agentUpdateState": "",
                    "agentModelConfig": {
                        "credential": "",
                        "modelName": "gemini-2.0-flash",
                        "customModelName": "",
                        "temperature": 0.9,
                        "streaming": true,
                        "maxOutputTokens": "",
                        "topP": "",
                        "topK": "",
                        "harmCategory": "",
                        "harmBlockThreshold": "",
                        "allowImageUploads": "",
                        "agentModel": "chatGoogleGenerativeAI"
                    }
                },
                "outputAnchors": [
                    {
                        "id": "agentAgentflow_0-output-agentAgentflow",
                        "label": "Agent",
                        "name": "agentAgentflow"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "type": "agentFlow",
            "width": 191,
            "height": 71,
            "selected": false,
            "positionAbsolute": {
                "x": 253.4811075082052,
                "y": 17.0330403645183
            },
            "dragging": false
        },
        {
            "id": "agentAgentflow_1",
            "position": {
                "x": 253.74384888466125,
                "y": 113.94007038630222
            },
            "data": {
                "id": "agentAgentflow_1",
                "label": "Sales Agent",
                "version": 1,
                "name": "agentAgentflow",
                "type": "Agent",
                "color": "#4DD0E1",
                "baseClasses": ["Agent"],
                "category": "Agent Flows",
                "description": "Dynamically choose and utilize tools during runtime, enabling multi-step reasoning",
                "inputParams": [
                    {
                        "label": "Model",
                        "name": "agentModel",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "loadConfig": true,
                        "id": "agentAgentflow_1-input-agentModel-asyncOptions",
                        "display": true
                    },
                    {
                        "label": "Messages",
                        "name": "agentMessages",
                        "type": "array",
                        "optional": true,
                        "acceptVariable": true,
                        "array": [
                            {
                                "label": "Role",
                                "name": "role",
                                "type": "options",
                                "options": [
                                    {
                                        "label": "System",
                                        "name": "system"
                                    },
                                    {
                                        "label": "Assistant",
                                        "name": "assistant"
                                    },
                                    {
                                        "label": "Developer",
                                        "name": "developer"
                                    },
                                    {
                                        "label": "User",
                                        "name": "user"
                                    }
                                ]
                            },
                            {
                                "label": "Content",
                                "name": "content",
                                "type": "string",
                                "acceptVariable": true,
                                "generateInstruction": true,
                                "rows": 4
                            }
                        ],
                        "id": "agentAgentflow_1-input-agentMessages-array",
                        "display": true
                    },
                    {
                        "label": "Tools",
                        "name": "agentTools",
                        "type": "array",
                        "optional": true,
                        "array": [
                            {
                                "label": "Tool",
                                "name": "agentSelectedTool",
                                "type": "asyncOptions",
                                "loadMethod": "listTools",
                                "loadConfig": true
                            },
                            {
                                "label": "Require Human Input",
                                "name": "agentSelectedToolRequiresHumanInput",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "id": "agentAgentflow_1-input-agentTools-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Document Stores)",
                        "name": "agentKnowledgeDocumentStores",
                        "type": "array",
                        "description": "Give your agent context about different document sources. Document stores must be upserted in advance.",
                        "array": [
                            {
                                "label": "Document Store",
                                "name": "documentStore",
                                "type": "asyncOptions",
                                "loadMethod": "listStores"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
                                "type": "string",
                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_1-input-agentKnowledgeDocumentStores-array",
                        "display": true
                    },
                    {
                        "label": "Knowledge (Vector Embeddings)",
                        "name": "agentKnowledgeVSEmbeddings",
                        "type": "array",
                        "description": "Give your agent context about different document sources from existing vector stores and embeddings",
                        "array": [
                            {
                                "label": "Vector Store",
                                "name": "vectorStore",
                                "type": "asyncOptions",
                                "loadMethod": "listVectorStores",
                                "loadConfig": true
                            },
                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
                                "type": "asyncOptions",
                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
                            },
                            {
                                "label": "Knowledge Name",
                                "name": "knowledgeName",
                                "type": "string",
                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
                            {
                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
                                "type": "string",
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
                                "rows": 4
                            },
                            {
                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
                                "type": "boolean",
                                "optional": true
                            }
                        ],
                        "optional": true,
                        "id": "agentAgentflow_1-input-agentKnowledgeVSEmbeddings-array",
                        "display": true
                    },
                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
                        "type": "boolean",
                        "description": "Enable memory for the conversation thread",
                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_1-input-agentEnableMemory-boolean",
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                        "label": "Memory Type",
                        "name": "agentMemoryType",
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                                "label": "All Messages",
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                                "description": "Retrieve all messages from the conversation"
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                                "label": "Window Size",
                                "name": "windowSize",
                                "description": "Uses a fixed window size to surface the last N messages"
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                                "label": "Conversation Summary",
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                                "label": "Conversation Summary Buffer",
                                "name": "conversationSummaryBuffer",
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                        "label": "Max Token Limit",
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                    ],
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                        "modelName": "claude-3-7-sonnet-latest",
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                        "budgetTokens": 1024,
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                "baseClasses": ["Agent"],
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                        "label": "Model",
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                        "label": "Messages",
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                                "label": "Role",
                                "name": "role",
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                                        "label": "System",
                                        "name": "system"
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                                        "label": "Assistant",
                                        "name": "assistant"
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                                    {
                                        "label": "Developer",
                                        "name": "developer"
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                                    {
                                        "label": "User",
                                        "name": "user"
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                                ]
                            },
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                                "label": "Content",
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                                "generateInstruction": true,
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                                "label": "Tool",
                                "name": "agentSelectedTool",
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                                "label": "Require Human Input",
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                        ],
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                        "label": "Knowledge (Document Stores)",
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                                "label": "Document Store",
                                "name": "documentStore",
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                                "loadMethod": "listStores"
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                                "label": "Describe Knowledge",
                                "name": "docStoreDescription",
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                                "generateDocStoreDescription": true,
                                "placeholder": "Describe what the knowledge base is about, this is useful for the AI to know when and how to search for correct information",
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                                "label": "Return Source Documents",
                                "name": "returnSourceDocuments",
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                        "label": "Knowledge (Vector Embeddings)",
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                                "label": "Vector Store",
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                                "loadMethod": "listVectorStores",
                                "loadConfig": true
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                            {
                                "label": "Embedding Model",
                                "name": "embeddingModel",
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                                "loadMethod": "listEmbeddings",
                                "loadConfig": true
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                                "label": "Knowledge Name",
                                "name": "knowledgeName",
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                                "placeholder": "A short name for the knowledge base, this is useful for the AI to know when and how to search for correct information"
                            },
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                                "label": "Describe Knowledge",
                                "name": "knowledgeDescription",
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                                "label": "Return Source Documents",
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                    {
                        "label": "Enable Memory",
                        "name": "agentEnableMemory",
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                        "default": true,
                        "optional": true,
                        "id": "agentAgentflow_2-input-agentEnableMemory-boolean",
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                    },
                    {
                        "label": "Memory Type",
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                                "label": "All Messages",
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                                "label": "Window Size",
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                                "label": "Conversation Summary",
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                                "label": "Conversation Summary Buffer",
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                        "id": "agentAgentflow_2-input-agentMemoryType-options",
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                        "label": "Window Size",
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                        "label": "Max Token Limit",
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                        "label": "Update Flow State",
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                        "id": "agentAgentflow_2-input-agentUpdateState-array",
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                ],
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