{ "description": "An email reply HITL (human in the loop) agent that can proceed or refine the email with user input", "usecases": ["Human In Loop"], "nodes": [ { "id": "startAgentflow_0", "type": "agentFlow", "position": { "x": -212.0817769699585, "y": 95.2304753249555 }, "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": -212.0817769699585, "y": 95.2304753249555 }, "dragging": false }, { "id": "agentAgentflow_0", "position": { "x": -62.25, "y": 76 }, "data": { "id": "agentAgentflow_0", "label": "Email Reply 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": "chatOpenAI", "agentMessages": [ { "role": "system", "content": "

You are a customer support agent working in Flowise Inc. Write a professional email reply to user's query. Use the web search tools to get more details about the prospect.

" } ], "agentTools": [ { "agentSelectedTool": "googleCustomSearch", "agentSelectedToolConfig": { "agentSelectedTool": "googleCustomSearch" } }, { "agentSelectedTool": "currentDateTime", "agentSelectedToolConfig": { "agentSelectedTool": "currentDateTime" } } ], "agentKnowledgeDocumentStores": "", "agentEnableMemory": true, "agentMemoryType": "allMessages", "agentUserMessage": "", "agentReturnResponseAs": "userMessage", "agentUpdateState": "", "agentModelConfig": { "cache": "", "modelName": "gpt-4o-mini", "temperature": 0.9, "streaming": true, "maxTokens": "", "topP": "", "frequencyPenalty": "", "presencePenalty": "", "timeout": "", "strictToolCalling": "", "stopSequence": "", "basepath": "", "proxyUrl": "", "baseOptions": "", "allowImageUploads": "", "imageResolution": "low", "reasoningEffort": "medium", "agentModel": "chatOpenAI" } }, "outputAnchors": [ { "id": "agentAgentflow_0-output-agentAgentflow", "label": "Agent", "name": "agentAgentflow" } ], "outputs": {}, "selected": false }, "type": "agentFlow", "width": 182, "height": 103, "selected": false, "positionAbsolute": { "x": -62.25, "y": 76 }, "dragging": false }, { "id": "humanInputAgentflow_0", "position": { "x": 156.05666363734434, "y": 86.62266545493773 }, "data": { "id": "humanInputAgentflow_0", "label": "Human Input 0", "version": 1, "name": "humanInputAgentflow", "type": "HumanInput", "color": "#6E6EFD", "baseClasses": ["HumanInput"], "category": "Agent Flows", "description": "Request human input, approval or rejection during execution", "inputParams": [ { "label": "Description Type", "name": "humanInputDescriptionType", "type": "options", "options": [ { "label": "Fixed", "name": "fixed", "description": "Specify a fixed description" }, { "label": "Dynamic", "name": "dynamic", "description": "Use LLM to generate a description" } ], "id": "humanInputAgentflow_0-input-humanInputDescriptionType-options", "display": true }, { "label": "Description", "name": "humanInputDescription", "type": "string", "placeholder": "Are you sure you want to proceed?", "acceptVariable": true, "rows": 4, "show": { "humanInputDescriptionType": "fixed" }, "id": "humanInputAgentflow_0-input-humanInputDescription-string", "display": true }, { "label": "Model", "name": "humanInputModel", "type": "asyncOptions", "loadMethod": "listModels", "loadConfig": true, "show": { "humanInputDescriptionType": "dynamic" }, "id": "humanInputAgentflow_0-input-humanInputModel-asyncOptions", "display": false }, { "label": "Prompt", "name": "humanInputModelPrompt", "type": "string", "default": "

Summarize the conversation between the user and the assistant, reiterate the last message from the assistant, and ask if user would like to proceed or if they have any feedback.

\n\n

Output Format The output should be structured in three parts in text:

\n\n", "acceptVariable": true, "generateInstruction": true, "rows": 4, "show": { "humanInputDescriptionType": "dynamic" }, "id": "humanInputAgentflow_0-input-humanInputModelPrompt-string", "display": false }, { "label": "Enable Feedback", "name": "humanInputEnableFeedback", "type": "boolean", "default": true, "id": "humanInputAgentflow_0-input-humanInputEnableFeedback-boolean", "display": true } ], "inputAnchors": [], "inputs": { "humanInputDescriptionType": "fixed", "humanInputEnableFeedback": true, "humanInputModelConfig": { "cache": "", "modelName": "gpt-4o-mini", "temperature": 0.9, "streaming": true, "maxTokens": "", "topP": "", "frequencyPenalty": "", "presencePenalty": "", "timeout": "", "strictToolCalling": "", "stopSequence": "", "basepath": "", "proxyUrl": "", "baseOptions": "", "allowImageUploads": "", "imageResolution": "low", "reasoningEffort": "medium", "humanInputModel": "chatOpenAI" }, "humanInputDescription": "

Are you sure you want to proceed?

" }, "outputAnchors": [ { "id": "humanInputAgentflow_0-output-0", "label": "Human Input", "name": "humanInputAgentflow" }, { "id": "humanInputAgentflow_0-output-1", "label": "Human Input", "name": "humanInputAgentflow" } ], "outputs": { "humanInputAgentflow": "" }, "selected": false }, "type": "agentFlow", "width": 161, "height": 80, "selected": false, "positionAbsolute": { "x": 156.05666363734434, "y": 86.62266545493773 }, "dragging": false }, { "id": "directReplyAgentflow_0", "position": { "x": 363.0101864947954, "y": 35.15053748988734 }, "data": { "id": "directReplyAgentflow_0", "label": "Direct Reply 0", "version": 1, "name": "directReplyAgentflow", "type": "DirectReply", "color": "#4DDBBB", "hideOutput": true, "baseClasses": ["DirectReply"], "category": "Agent Flows", "description": "Directly reply to the user with a message", "inputParams": [ { "label": "Message", "name": "directReplyMessage", "type": "string", "rows": 4, "acceptVariable": true, "id": "directReplyAgentflow_0-input-directReplyMessage-string", "display": true } ], "inputAnchors": [], "inputs": { "directReplyMessage": "

{{ agentAgentflow_0 }}

" }, "outputAnchors": [], "outputs": {}, "selected": false }, "type": "agentFlow", "width": 155, "height": 65, "selected": false, "positionAbsolute": { "x": 363.0101864947954, "y": 35.15053748988734 }, "dragging": false }, { "id": "loopAgentflow_0", "position": { "x": 366.5975521223236, "y": 130.12266545493773 }, "data": { "id": "loopAgentflow_0", "label": "Loop 0", "version": 1, "name": "loopAgentflow", "type": "Loop", "color": "#FFA07A", "hideOutput": true, "baseClasses": ["Loop"], "category": "Agent Flows", "description": "Loop back to a previous node", "inputParams": [ { "label": "Loop Back To", "name": "loopBackToNode", "type": "asyncOptions", "loadMethod": "listPreviousNodes", "freeSolo": true, "id": "loopAgentflow_0-input-loopBackToNode-asyncOptions", "display": true }, { "label": "Max Loop Count", "name": "maxLoopCount", "type": "number", "default": 5, "id": "loopAgentflow_0-input-maxLoopCount-number", "display": true } ], "inputAnchors": [], "inputs": { "loopBackToNode": "agentAgentflow_0-Email Reply Agent", "maxLoopCount": 5 }, "outputAnchors": [], "outputs": {}, "selected": false }, "type": "agentFlow", "width": 113, "height": 65, "selected": false, "positionAbsolute": { "x": 366.5975521223236, "y": 130.12266545493773 }, "dragging": false } ], "edges": [ { "source": "startAgentflow_0", "sourceHandle": "startAgentflow_0-output-startAgentflow", "target": "agentAgentflow_0", "targetHandle": "agentAgentflow_0", "data": { "sourceColor": "#7EE787", "targetColor": "#4DD0E1", "isHumanInput": false }, "type": "agentFlow", "id": "startAgentflow_0-startAgentflow_0-output-startAgentflow-agentAgentflow_0-agentAgentflow_0" }, { "source": "agentAgentflow_0", "sourceHandle": "agentAgentflow_0-output-agentAgentflow", "target": "humanInputAgentflow_0", "targetHandle": "humanInputAgentflow_0", "data": { "sourceColor": "#4DD0E1", "targetColor": "#6E6EFD", "isHumanInput": false }, "type": "agentFlow", "id": "agentAgentflow_0-agentAgentflow_0-output-agentAgentflow-humanInputAgentflow_0-humanInputAgentflow_0" }, { "source": "humanInputAgentflow_0", "sourceHandle": "humanInputAgentflow_0-output-0", "target": "directReplyAgentflow_0", "targetHandle": "directReplyAgentflow_0", "data": { "sourceColor": "#6E6EFD", "targetColor": "#4DDBBB", "edgeLabel": "proceed", "isHumanInput": true }, "type": "agentFlow", "id": "humanInputAgentflow_0-humanInputAgentflow_0-output-0-directReplyAgentflow_0-directReplyAgentflow_0" }, { "source": "humanInputAgentflow_0", "sourceHandle": "humanInputAgentflow_0-output-1", "target": "loopAgentflow_0", "targetHandle": "loopAgentflow_0", "data": { "sourceColor": "#6E6EFD", "targetColor": "#FFA07A", "edgeLabel": "reject", "isHumanInput": true }, "type": "agentFlow", "id": "humanInputAgentflow_0-humanInputAgentflow_0-output-1-loopAgentflow_0-loopAgentflow_0" } ] }