This workflow follows the Agent → Google Gemini Chat 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 →
{
"name": "chatbot_persona",
"nodes": [
{
"parameters": {
"promptType": "define",
"text": "={{ $json.body.chatInput }}",
"options": {
"systemMessage": "Tu es Persona, un assistant amical. Ton r\u00f4le est d'aider l'utilisateur \u00e0 configurer ses int\u00e9r\u00eats et son heure de newsletter.\nD\u00e8s que l'utilisateur te donne une information (ses int\u00e9r\u00eats ou son heure), utilise IMMEDIATEMENT ton outil de mise \u00e0 jour pour l'enregistrer.\n\nCONTRAINTE DE FORMATAGE : Tu ne dois JAMAIS utiliser de syntaxe Markdown (comme les doubles ast\u00e9risques ** pour le gras) dans tes r\u00e9ponses au chat. \u00c9cris uniquement en texte brut ou utilise des balises HTML si n\u00e9cessaire."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
208,
160
],
"id": "7ac3ca62-8869-4bdd-954d-958faaf7b7f9",
"name": "AI Agent"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "session_globale"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.4,
"position": [
304,
352
],
"id": "1d0b1322-59ea-433a-acc6-f1349d9dc5b3",
"name": "Simple Memory"
},
{
"parameters": {
"modelName": "models/gemini-3.1-flash-lite",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1.1,
"position": [
176,
352
],
"id": "bed21df5-10c9-4ac8-adfb-b47b36ea3baa",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"path": "chat-page",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
0,
0
],
"id": "73bcbd44-ece6-49fe-a95c-5d640de14f75",
"name": "catch for form"
},
{
"parameters": {
"respondWith": "text",
"responseBody": "<!DOCTYPE html>\n<html lang=\"fr\">\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <title>Persona Chat</title>\n <style>\n body {\n background-color: #f8fafc;\n font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Helvetica, Arial, sans-serif;\n color: #1e293b;\n display: flex;\n justify-content: center;\n align-items: center;\n min-height: 100vh;\n }\n\n .chat-container {\n width: 100%;\n max-width: 900px;\n background-color: #ffffff;\n border-radius: 12px;\n box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.05), 0 8px 4px -1px rgba(0, 0, 0, 0.03);\n border: 1px solid #e2e8f0;\n display: flex;\n flex-direction: column;\n overflow: hidden;\n }\n\n .chat-header {\n padding: 20px;\n border-bottom: 1px solid #e2e8f0;\n background-color: #ffffff;\n text-align: center;\n }\n\n .chat-header h2 {\n font-size: 1.5rem;\n font-weight: 700;\n color: #0f172a;\n }\n\n .messages-box {\n height: 450px;\n overflow-y: auto;\n padding: 20px;\n background-color: #f8fafc;\n display: flex;\n flex-direction: column;\n gap: 12px;\n }\n\n .message {\n max-width: 85%;\n padding: 12px 16px;\n border-radius: 12px;\n font-size: 0.95rem;\n line-height: 1.5;\n white-space: pre-wrap;\n word-break: break-word;\n }\n\n .message.user {\n background-color: #ffffff;\n color: #1e293b;\n align-self: flex-end;\n border-bottom-right-radius: 4px;\n border: 1px solid #e2e8f0;\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.02);\n }\n\n .message.persona {\n background-color: #2563eb;\n color: #ffffff;\n align-self: flex-start;\n border-bottom-left-radius: 4px;\n }\n\n .message.system {\n background-color: #fee2e2;\n color: #ef4444;\n align-self: center;\n font-size: 0.85rem;\n text-align: center;\n border: 1px solid #fca5a5;\n }\n\n .chat-input-area {\n padding: 16px;\n background-color: #ffffff;\n border-top: 1px solid #e2e8f0;\n display: flex;\n gap: 10px;\n }\n\n .chat-input-area input {\n flex: 1;\n padding: 12px 16px;\n border: 1px solid #cbd5e1;\n border-radius: 8px;\n font-size: 0.95rem;\n color: #1e293b;\n outline: none;\n transition: border-color 0.2s ease;\n }\n\n .chat-input-area input:focus {\n border-color: #2563eb;\n }\n\n .chat-input-area button {\n background-color: #2563eb;\n color: #ffffff;\n border: none;\n padding: 12px 24px;\n border-radius: 8px;\n font-size: 0.95rem;\n font-weight: 600;\n cursor: pointer;\n transition: background-color 0.2s ease;\n }\n\n .chat-input-area button:hover {\n background-color: #1d4ed8;\n }\n </style>\n</head>\n<body>\n\n<div class=\"chat-container\">\n <div class=\"chat-header\">\n <h2>Persona</h2>\n </div>\n <div id=\"messages\" class=\"messages-box\"></div>\n <div class=\"chat-input-area\">\n <input id=\"input\" type=\"text\" placeholder=\"Tapez votre message...\" onkeypress=\"handleKeyPress(event)\">\n <button onclick=\"send()\">Envoyer</button>\n </div>\n</div>\n\n<script>\n const token = new URLSearchParams(window.location.search).get('token');\n window.onload = function() {\n addMessage('persona', \"Bonjour, c'est Persona ! Je suis l\u00e0 pour t'aider. Donne-moi un sujet que tu aimes ainsi qu'une horaire, et je t'enverrai une newsletter tous les jours \u00e0 cette heure sur ce th\u00e8me.\");\n };\n\n function handleKeyPress(event) {\n if (event.key === 'Enter') {\n send();\n }\n }\n\n function send() {\n const input = document.getElementById('input');\n sendMessage(input.value);\n input.value = '';\n }\n\n async function sendMessage(text) {\n if (!text || text.trim() === \"\")\n return;\n addMessage('user', text);\n try {\n const res = await fetch(`http://localhost:5678/webhook/talk-to-persona?token=${encodeURIComponent(token)}`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({ chatInput: text })\n });\n const data = await res.json();\n const actualData = Array.isArray(data) ? data[0] : data;\n const reply = actualData.output || actualData.text || (typeof actualData === 'string' ? actualData : JSON.stringify(actualData));\n addMessage('persona', reply);\n } catch (error) {\n console.error(\"Erreur d'envoi :\", error);\n addMessage('system', 'Erreur de connexion avec le Persona.');\n }\n }\n\n function addMessage(type, text) {\n const div = document.getElementById('messages');\n const messageElement = document.createElement('div');\n messageElement.classList.add('message', type);\n messageElement.textContent = text;\n div.appendChild(messageElement);\n div.scrollTop = div.scrollHeight;\n }\n</script>\n</body>\n</html>",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [
224,
0
],
"id": "b080be89-f9f4-4b45-be17-dd5bad80a50d",
"name": "html page"
},
{
"parameters": {
"httpMethod": "POST",
"path": "talk-to-persona",
"responseMode": "responseNode",
"options": {
"allowedOrigins": "*"
}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
-16,
160
],
"id": "74cdac0d-4969-43e0-a36c-82952e6b4d47",
"name": "catch response from html page"
},
{
"parameters": {
"descriptionType": "manual",
"toolDescription": "Cet outil permet d'ajouter ou de modifier les lignes dans la table 'users'. Tu DOIS obligatoirement fournir les 2 champs suivants : 'Interests' et 'ProgrammedAt'.\nCONTRAINTES STRICTES :\n- 'ProgrammedAt' doit TOUJOURS \u00eatre au format strict 24h (HH:MM), par exemple \"08:00\" ou \"14:30\". Interdiction d'\u00e9crire \"11h\" ou \"14h00\".\n- 'Interests' ne doit contenir qu'UN SEUL ET UNIQUE centre d'int\u00e9r\u00eat. Si l'utilisateur en donne plusieurs, ne garde que le premier ou le principal. \u00bb",
"operation": "update",
"dataTableId": {
"__rl": true,
"value": "users",
"mode": "name"
},
"filters": {
"conditions": [
{
"keyName": "=tokenAuth",
"keyValue": "={{ $('catch response from html page').item.json.query.token }}"
}
]
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"programmedAt": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('programmedAt', `ici j'aimerai que tu r\u00e9cup\u00e8re seulement l'heure ou il doit recevoir \u00e7a newsletter au format (hh:00)`, 'string') }}",
"Interests": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Interests', `ici tu r\u00e9cup\u00e8res les centre d'int\u00e9rets du user, tu ne dois avoir qu'un seul centre d'int\u00e9r\u00eat`, 'string') }}"
},
"matchingColumns": [],
"schema": [
{
"id": "programmedAt",
"displayName": "programmedAt",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Interests",
"displayName": "Interests",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Email",
"displayName": "Email",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Password",
"displayName": "Password",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "tokenAuth",
"displayName": "tokenAuth",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.dataTableTool",
"typeVersion": 1.1,
"position": [
448,
352
],
"id": "c8786e06-99cc-40c6-8889-cf8d02f79fad",
"name": "get interests and programmedAt"
},
{
"parameters": {
"respondWith": "allIncomingItems",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [
560,
160
],
"id": "bff145e7-029e-4ff2-a15c-c31b5ba29a3e",
"name": "share response from AI agent"
}
],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "share response from AI agent",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"catch for form": {
"main": [
[
{
"node": "html page",
"type": "main",
"index": 0
}
]
]
},
"catch response from html page": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"get interests and programmedAt": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"versionId": "7e688183-28ca-450e-95cc-6a2942eeccff",
"meta": {
"templateCredsSetupCompleted": true
},
"nodeGroups": [],
"id": "wXEplX54Jzt3UDib",
"tags": []
}
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.
googlePalmApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
chatbot_persona. Uses agent, memoryBufferWindow, lmChatGoogleGemini, dataTableTool. Webhook trigger; 8 nodes.
Source: https://github.com/ETHANSAINTOT/persona-epitech/blob/ee7973c8e559e6c2469ebcf240295a0dd088760c/workflows/chatbot_persona.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow automates real-time energy grid telemetry ingestion, compliance validation, and multi-channel reporting for grid operators, energy managers, and compliance teams. Telemetry data arrives
Agent, OpenAI Chat, Memory Buffer Window +7
This workflow automates Identity and Access Management (IAM) event governance using an AI agent, targeting security operations teams, compliance officers, and IT governance teams managing cloud or ent
Agent, OpenAI Chat, Memory Buffer Window +7
nl2sql. Uses stickyNote, agent, lmChatDeepSeek, respondToWebhook. Webhook trigger; 25 nodes.
Agent, Lm Chat Deep Seek, Memory Manager +3
主播招募智能体系统v2. Uses memoryBufferWindow, agent, lmChatDeepSeek, lmChatGoogleGemini. Webhook trigger; 25 nodes.
Memory Buffer Window, Agent, Lm Chat Deep Seek +1
This webhook-based customer support workflow uses Google Gemini and a Google Docs knowledge base to answer chat messages, remembers conversation context, and escalates unresolved issues by summarizing
Output Parser Structured, Gmail, Google Gemini Chat +3