This workflow follows the Emailsend → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "cond1",
"leftValue": "={{ $json.intent }}",
"rightValue": "tax",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "tax"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "cond2",
"leftValue": "={{ $json.intent }}",
"rightValue": "rag",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "rag"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "a97836a5-3a45-4888-8d3e-c9fcf85dc772",
"leftValue": "={{ $json.intent }}",
"rightValue": "general",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "general"
}
]
},
"options": {}
},
"id": "b0080663-eace-489c-82d0-5ef0ff63e6ff",
"name": "Router by Intent",
"type": "n8n-nodes-base.switch",
"typeVersion": 3,
"position": [
-2048,
1696
]
},
{
"parameters": {
"operation": "getAll",
"tableId": "tax_calculator_params",
"returnAll": true
},
"id": "b0e30044-9cbb-4dde-b76c-94d4a88310d1",
"name": "Get Tax Params",
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
-1824,
1520
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "getAll",
"tableId": "tax_scale_brackets",
"returnAll": true
},
"id": "f3055947-8d40-42c0-aaa6-ebffcfe46452",
"name": "Get Tax Brackets",
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
-1600,
1520
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const params = $('Get Tax Params').first().json;\nconst brackets = $('Get Tax Brackets').all().map(i => i.json);\nconst webhookData = $('Webhook Trigger').first().json;\nconst lastMsg = webhookData.body.messages.filter(m => m.role === 'user').pop().content;\n\n// 1. Detecci\u00f3n de Monto Bruto\nconst amountMatch = lastMsg.match(/(\\d+[\\d\\.,]*)/);\nif (!amountMatch) return { json: { ...webhookData, tax_calc: null } };\n\nlet bruteMsg = parseFloat(amountMatch[0].replace(/\\./g, '').replace(',', '.'));\nif (bruteMsg < 100) bruteMsg *= 1000000;\nelse if (bruteMsg < 10000) bruteMsg *= 1000;\n\n// 2. Detecci\u00f3n de Bono / Extra / Aguinaldo\nlet bonusMsg = 0;\nconst bonusMatch = lastMsg.match(/(?:bono|extra|aguinaldo).*?(\\d+[\\d\\.,]*)/i);\nif (bonusMatch) {\n bonusMsg = parseFloat(bonusMatch[1].replace(/\\./g, '').replace(',', '.'));\n if (bonusMsg < 1000) bonusMsg *= 1000; // Caso para \"bono de 500k\"\n}\n\n// 3. Cargas Familiares (Hijos y C\u00f3nyuge)\nlet hijos = 0;\nconst hMatch = lastMsg.match(/(\\d+)\\s*hijo/i);\nif (hMatch) {\n hijos = parseInt(hMatch[1]);\n} else if (lastMsg.includes('un hijo')) {\n hijos = 1;\n}\n\nconst conyuge = lastMsg.toLowerCase().includes('conyuge') || lastMsg.toLowerCase().includes('pareja');\n\n// 4. Par\u00e1metros de Deducciones\nconst gni = parseFloat(params.gni);\nconst especial = parseFloat(params.deduccion_especial);\nconst aportesPct = parseFloat(params.aportes_pct);\n\n// 5. C\u00e1lculo de Base Imponible\nconst netoAnual = (bruteMsg * 13 + bonusMsg) * (1 - aportesPct);\nlet deducciones = gni + especial;\ndeducciones += hijos * parseFloat(params.hijo);\nif (conyuge) deducciones += parseFloat(params.conyuge);\n\nconst base = Math.max(0, netoAnual - deducciones);\n\n// 6. C\u00e1lculo del Impuesto seg\u00fan Escalas (Brackets)\nlet impuestoAnual = 0;\nif (base > 0) {\n let bracket = brackets[0];\n for (const b of brackets) {\n if (base > parseFloat(b.limit_amount)) {\n bracket = b;\n } else {\n break;\n }\n }\n const exceso = base - parseFloat(bracket.limit_amount);\n impuestoAnual = parseFloat(bracket.fixed_amount) + (exceso * parseFloat(bracket.pct));\n}\n\n// 7. Resultado\nreturn [{\n json: {\n ...webhookData,\n tax_calc: {\n bruto: bruteMsg,\n bonus: bonusMsg,\n netoMensual: (netoAnual - impuestoAnual) / 13,\n impuestoMensual: impuestoAnual / 12,\n base,\n hijos,\n conyuge\n }\n }\n}];"
},
"id": "cb4d8bcf-6a74-4b1e-8c22-9ec4fdf99630",
"name": "Tax Calculator Logic",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1376,
1520
]
},
{
"parameters": {
"method": "POST",
"url": "https://router.huggingface.co/v1/chat/completions",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ \n JSON.stringify({ \n messages: (function() { \n const data = $input.first().json; \n const history = data.body.messages; \n const calc = data.tax_calc; \n const systemMsg = history.find(m => m.role === 'system'); \n const otherMsgs = history.filter(m => m.role !== 'system'); \n \n let taxContext = \"\";\n\n if (calc) {\n taxContext = `\n \\n\\nCALCULATION RESULT:\n Sueldo Bruto Mensual: $${Math.round(calc.bruto).toLocaleString()}\n Bono/Extras Anuales: $${Math.round(calc.bonus).toLocaleString()}\n Neto Estimado (promedio mensual): $${Math.round(calc.netoMensual).toLocaleString()}\n Retenci\u00f3n promedio mensual: $${Math.round(calc.impuestoMensual).toLocaleString()}\n Deducciones: ${calc.hijos} hijos, ${calc.conyuge ? 'C\u00f3nyuge' : 'Sin c\u00f3nyuge'}.\n Explica que es Ganancias 2026 y que el c\u00e1lculo incluye el aguinaldo (factor 13) m\u00e1s los extras informados. Ofrece contactar a Mariano por WhatsApp o email para optimizaci\u00f3n financiera [ACTION:CONTACT]. No menciones Calendly ni agendar reuniones: el contacto se hace por un formulario r\u00e1pido que env\u00eda WhatsApp o email.`;\n } else {\n taxContext = \"\\n\\nINSTRUCCI\u00d3N: P\u00eddele el sueldo bruto mensual, bonos/extras anuales y si tiene hijos/c\u00f3nyuge para calcular.\";\n }\n\n return [ \n { \n role: 'system', \n content: (systemMsg?.content || '') + taxContext \n }, \n ...otherMsgs \n ]; \n })(), \n model: 'zai-org/GLM-4.7-Flash:novita', \n stream: false \n }) \n}}",
"options": {}
},
"id": "2a693685-eb01-4a42-8299-d41256eb3ab8",
"name": "Call HF Tax Response",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
-1152,
1520
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"jsCode": "const webhookData = $input.first().json;\nconst messages = webhookData.body?.messages || [];\nconst lastUserMsg = messages.filter(m => m.role === 'user').pop()?.content || '';\nconst text = lastUserMsg.toLowerCase();\n\n// Intent: Tax Calculation\nconst taxKeywords = [\n 'ganancias', 'sueldo', 'bruto', 'neto', 'impuesto', \n 'calculadora', 'deducciones', 'pago de', 'bono', \n 'aguinaldo', 'extra'\n];\nconst isTaxQuery = taxKeywords.some(kw => text.includes(kw));\n\n// Intent: Knowledge Base / RAG\nconst isShort = text.length < 60;\nconst hasQuestion = text.includes('?');\nconst isJustEmail = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}/.test(text) && text.length < 80;\n\nlet requires_rag = true;\nlet intent = 'general';\n\nif (isTaxQuery) {\n intent = 'tax';\n requires_rag = false;\n} else if (\n (isShort && !hasQuestion && isJustEmail) || \n ['hola', 'hi', 'hello', 'buenos d\u00edas', 'gracias', 'thanks'].includes(text.trim())\n) {\n requires_rag = false;\n intent = 'greeting';\n} else {\n intent = 'rag';\n}\n\nreturn [{\n json: {\n ...webhookData,\n requires_rag,\n intent\n }\n}];"
},
"id": "b8eda9d0-1871-431a-ad01-2454e7727bdc",
"name": "Analyze Intent1",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-2272,
1712
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "mga-ai-agent",
"responseMode": "responseNode",
"options": {
"allowedOrigins": "https://www.mgatc.com,https://mgatc.pages.dev,http://localhost:3000,http://localhost:3001,https://mgatc.com"
}
},
"id": "c716369f-3a45-4669-8285-16655a726c72",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-2496,
1712
]
},
{
"parameters": {
"jsCode": "const response = $input.first().json;\nconst error = response.error;\nconst assistantMessage = error ? '' : (response.choices?.[0]?.message?.content || '');\n\nconst webhookBody = $('Webhook Trigger').first().json.body;\nconst allMessages = webhookBody.messages || [];\nconst conversationStr = JSON.stringify(allMessages);\n\nlet email = webhookBody.user_info?.email || null;\nlet name = webhookBody.user_info?.name || null;\n\nif (!email) {\n const emailRegex = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}/g;\n const emails = conversationStr.match(emailRegex) || [];\n email = emails[0] || null;\n}\n\nconst systemMsg = allMessages.find(m => m.role === 'system');\nconst sourceLang = systemMsg?.content?.includes('currently set to English') ? 'en' : 'es';\n\nlet chatHtml = \"\";\ntry {\n const chatMessages = allMessages.filter(m => m.role !== 'system').slice(-6);\n if (chatMessages.length > 0) {\n chatHtml = chatMessages.map(msg => {\n const isUser = msg.role === 'user';\n const label = isUser ? 'Usuario' : 'Asistente';\n const bgColor = isUser ? '#f8fafc' : '#ffffff';\n const borderColor = isUser ? '#2563eb' : '#10b981';\n return `<div style=\"margin-bottom: 12px; padding: 12px; border-radius: 8px; background-color: ${bgColor}; border-left: 4px solid ${borderColor}; font-family: sans-serif;\"><strong style=\"display: block; font-size: 11px; color: #64748b; text-transform: uppercase; margin-bottom: 4px;\">${label}</strong><div style=\"font-size: 14px; color: #1e293b; line-height: 1.5;\">${msg.content}</div></div>`;\n }).join('');\n } else {\n chatHtml = \"<p>No hay mensajes recientes.</p>\";\n }\n} catch (e) { chatHtml = \"<p>Error.</p>\"; }\n\nreturn [{\n json: {\n error,\n assistantMessage,\n email,\n name,\n sourceLang,\n hasLead: !!(email || name),\n chatHtml,\n conversation: allMessages.slice(-6)\n }\n}];"
},
"id": "8d713019-a1ea-41bb-a291-e1cee95712d5",
"name": "Extract Lead Data",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-928,
1712
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ { content: $json.assistantMessage || ($json.error ? 'Error: ' + $json.error.message : 'No se pudo obtener respuesta de la IA.') } }}",
"options": {}
},
"id": "1702db24-3976-4687-9863-3fd6f160ba0c",
"name": "Respond to Frontend",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
-704,
1616
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "e5fda4e4-0e70-4b06-a9d7-5664090c13ea",
"leftValue": "={{ $json.hasLead }}",
"rightValue": "={{ true }}",
"operator": {
"type": "boolean",
"operation": "true"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "16542d74-aeb9-47e4-af3e-dbaee2208c3f",
"name": "Has Lead Info?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-704,
1808
]
},
{
"parameters": {
"tableId": "leads",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "name",
"fieldValue": "={{ $json.name || null }}"
},
{
"fieldId": "email",
"fieldValue": "={{ $json.email || null }}"
},
{
"fieldId": "interest",
"fieldValue": "={{ $json.assistantMessage.substring(0, 300) }}"
},
{
"fieldId": "source_lang",
"fieldValue": "={{ $json.sourceLang }}"
},
{
"fieldId": "source_page",
"fieldValue": "={{ $('Webhook Trigger').first().json.body.source_page || 'unknown' }}"
},
{
"fieldId": "conversation",
"fieldValue": "={{ JSON.stringify($json.conversation) }}"
},
{
"fieldId": "status",
"fieldValue": "new"
}
]
}
},
"id": "67047469-5d1f-42bd-a063-02a800ca64f0",
"name": "Save Lead to Supabase",
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
-480,
1712
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"html": "<!DOCTYPE html>\n<html>\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 0; background-color: #f4f4f4; }\n .container { max-width: 600px; margin: 20px auto; background: #ffffff; border-radius: 8px; overflow: hidden; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }\n .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 40px 20px; text-align: center; }\n .logo { max-width: 200px; height: auto; margin-bottom: 20px; }\n .header h1 { color: #ffffff; margin: 0; font-size: 24px; }\n .content { padding: 40px 30px; }\n .content h2 { color: #667eea; margin-top: 0; font-size: 20px; }\n .content p { margin: 15px 0; }\n .highlight { background-color: #f8f9ff; padding: 20px; border-left: 4px solid #667eea; margin: 20px 0; }\n .chat-box { background-color: #f8f9fa; border: 1px solid #e9ecef; border-radius: 4px; padding: 15px; margin-top: 15px; font-size: 14px; color: #555; white-space: pre-line; }\n .footer { background-color: #f8f9fa; padding: 20px; text-align: center; font-size: 12px; color: #666; }\n </style>\n</head>\n<body>\n <div class=\"container\">\n <div class=\"header\">\n <img src=\"https://raw.githubusercontent.com/Mgobeaalcoba/Mgobeaalcoba.github.io/6e7c26232117f9e2d85828b6477192e1e89f34b4/assets/images/logo_claro.png\" alt=\"MGA Tech\" class=\"logo\">\n <h1>\u00a1Nuevo Lead Detectado!</h1>\n </div>\n <div class=\"content\">\n <h2>Alerta del Agente IA</h2>\n <p>Se ha detectado un nuevo lead interactuando con el chat del Agente IA. A continuaci\u00f3n tienes los detalles:</p>\n \n <div class=\"highlight\">\n <p style=\"margin: 5px 0;\"><strong>Nombre:</strong> {{ $json.name || 'No detectado' }}</p>\n <p style=\"margin: 5px 0;\"><strong>Email:</strong> {{ $json.email || 'No detectado' }}</p>\n <p style=\"margin: 5px 0;\"><strong>Idioma:</strong> {{ $json.sourceLang === 'en' ? 'Ingl\u00e9s' : 'Espa\u00f1ol' }}</p>\n </div>\n\n <h2 style=\"margin-top: 30px; font-size: 18px;\">\u00daltimos mensajes de la conversaci\u00f3n:</h2>\n <div class=\"chat-box\">\n {{ $('Extract Lead Data').item.json.chatHtml }}\n </div>\n \n </div>\n <div class=\"footer\">\n <p>Esta es una notificaci\u00f3n autom\u00e1tica interna del sistema.</p>\n <p>© 2026 MGA Tech Consulting. Todos los derechos reservados.</p>\n </div>\n </div>\n</body>\n</html>"
},
"id": "c181bfe1-79eb-4893-9a0a-624e15addffc",
"name": "HTML",
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
-256,
1712
]
},
{
"parameters": {},
"id": "d0b641ba-9ef1-49a7-b31e-9679272b0812",
"name": "No Operation, do nothing",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
-480,
1904
]
},
{
"parameters": {
"method": "POST",
"url": "https://router.huggingface.co/v1/chat/completions",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ \n JSON.stringify({ \n messages: (function() { \n const webhookData = $('Webhook Trigger').first().json; \n const history = (webhookData.body && webhookData.body.messages) ? webhookData.body.messages : []; \n const knowledgeData = $('Search Knowledge Supabase1').first().json; \n const contextChunks = Array.isArray(knowledgeData) ? knowledgeData.map(r => r.content).join('\\n---\\n') : (knowledgeData.content || ''); \n const systemMsg = history.find(m => m.role === 'system'); \n const otherMsgs = history.filter(m => m.role !== 'system'); \n return [ \n { \n role: 'system', \n content: (systemMsg?.content || 'You are a helpful assistant.') + '\\n\\nKNOWLEDGE BASE CONTEXT (Usa esto para responder solo si es relevante):\\n' + contextChunks \n }, \n ...otherMsgs \n ]; \n })(), \n model: 'zai-org/GLM-4.7-Flash:novita', \n stream: false \n }) \n}}",
"options": {}
},
"id": "69e886fa-2c10-46c0-b5d5-9d41bfe892ce",
"name": "Call Hugging Face RAG1",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
-1152,
1712
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"method": "POST",
"url": "https://router.huggingface.co/v1/chat/completions",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "=={{ \n JSON.stringify({ \n messages: $('Webhook Trigger').first().json.body.messages, \n model: 'zai-org/GLM-4.7-Flash:novita', \n stream: false \n }) \n}}",
"options": {}
},
"id": "97cd7b68-fd3f-4eb8-bc63-5f4417f9cb78",
"name": "Call Hugging Face General1",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
-1152,
1904
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"method": "POST",
"url": "https://router.huggingface.co/hf-inference/models/intfloat/multilingual-e5-small/pipeline/feature-extraction",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ $json.body.messages.filter(m => m.role === 'user').pop().content }}"
}
]
},
"options": {
"response": {
"response": {
"fullResponse": true
}
}
}
},
"id": "5eb9b7b9-eb8f-4c0a-b9f0-085c5638a633",
"name": "Hugging Face Embedding Model1",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
-1600,
1712
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "={{ $vars.NEXT_PUBLIC_SUPABASE_URL }}/rest/v1/rpc/match_knowledge",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "apikey",
"value": "={{ $vars.NEXT_PUBLIC_SUPABASE_ANON_KEY }}"
},
{
"name": "Authorization",
"value": "=Bearer {{ $vars.NEXT_PUBLIC_SUPABASE_ANON_KEY }}"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"query_embedding\": {{ JSON.stringify($json.body) }},\n \"match_threshold\": 0.5,\n \"match_count\": 3\n}",
"options": {}
},
"id": "d8a384e4-8ae1-4e59-8b61-90ed9879c866",
"name": "Search Knowledge Supabase1",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.1,
"position": [
-1376,
1712
]
},
{
"parameters": {
"fromEmail": "mariano@mgatc.com",
"toEmail": "gobeamariano@gmail.com",
"subject": "Nuevo Lead Detectado",
"html": "={{ $json.html }}",
"options": {}
},
"id": "20e1f164-e916-4330-9633-fc0a6f1d0334",
"name": "Send an Email1",
"type": "n8n-nodes-base.emailSend",
"typeVersion": 2.1,
"position": [
-32,
1712
],
"credentials": {
"smtp": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Router by Intent": {
"main": [
[
{
"node": "Get Tax Params",
"type": "main",
"index": 0
}
],
[
{
"node": "Hugging Face Embedding Model1",
"type": "main",
"index": 0
}
],
[
{
"node": "Call Hugging Face General1",
"type": "main",
"index": 0
}
]
]
},
"Get Tax Params": {
"main": [
[
{
"node": "Get Tax Brackets",
"type": "main",
"index": 0
}
]
]
},
"Get Tax Brackets": {
"main": [
[
{
"node": "Tax Calculator Logic",
"type": "main",
"index": 0
}
]
]
},
"Tax Calculator Logic": {
"main": [
[
{
"node": "Call HF Tax Response",
"type": "main",
"index": 0
}
]
]
},
"Call HF Tax Response": {
"main": [
[
{
"node": "Extract Lead Data",
"type": "main",
"index": 0
}
]
]
},
"Analyze Intent1": {
"main": [
[
{
"node": "Router by Intent",
"type": "main",
"index": 0
}
]
]
},
"Webhook Trigger": {
"main": [
[
{
"node": "Analyze Intent1",
"type": "main",
"index": 0
}
]
]
},
"Extract Lead Data": {
"main": [
[
{
"node": "Respond to Frontend",
"type": "main",
"index": 0
},
{
"node": "Has Lead Info?",
"type": "main",
"index": 0
}
]
]
},
"Has Lead Info?": {
"main": [
[
{
"node": "Save Lead to Supabase",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Save Lead to Supabase": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
]
]
},
"HTML": {
"main": [
[
{
"node": "Send an Email1",
"type": "main",
"index": 0
}
]
]
},
"Call Hugging Face RAG1": {
"main": [
[
{
"node": "Extract Lead Data",
"type": "main",
"index": 0
}
]
]
},
"Call Hugging Face General1": {
"main": [
[
{
"node": "Extract Lead Data",
"type": "main",
"index": 0
}
]
]
},
"Hugging Face Embedding Model1": {
"main": [
[
{
"node": "Search Knowledge Supabase1",
"type": "main",
"index": 0
}
]
]
},
"Search Knowledge Supabase1": {
"main": [
[
{
"node": "Call Hugging Face RAG1",
"type": "main",
"index": 0
}
]
]
}
},
"meta": {
"templateCredsSetupCompleted": true
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuthsmtpsupabaseApi
Pro
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About this workflow
Ai Assistant Agent Full Workflow. Uses supabase, httpRequest, emailSend. Webhook trigger; 18 nodes.
Source: https://github.com/Mgobeaalcoba/Mgobeaalcoba.github.io/blob/main/docs/automations/ai_assistant_agent_full_workflow.json — original creator credit. Request a take-down →
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