This workflow follows the Agent → Datatable 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": "bebo-chat",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "chat",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
-80,
32
],
"id": "3ca3b52f-6b88-4600-984c-72a2d005b116",
"name": "Webhook"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "0ff87862-a531-4c00-8f18-78b29c16fdbe",
"name": "body",
"value": "={{ $json.body }}",
"type": "object"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
144,
32
],
"id": "9e00a8db-3f6b-49a8-8181-02fb7ff56f6d",
"name": "Edit Fields"
},
{
"parameters": {
"promptType": "define",
"text": "=User Prompt: {{ $json.body['text-prompt'] }}\nUser uploaded this image: {{ $json.body['image-prompt-url'] }}",
"hasOutputParser": true,
"options": {
"systemMessage": "You are an AI visual assistant on birebiro.com.\nYou always return only one JSON object and nothing else.\nDo not include explanations, extra text, or formatting outside the JSON.\n\nDefault conversation language is Turkish, unless the user writes in another language.\n\nYour job is to understand if the user intends to create an image.\n\t\u2022\tIf the user wants to generate an image, set user_generation_intent to true.\n\t\u2022\tIf the user\u2019s message contains enough information, create a clear, detailed English prompt and put it in improved_generation_prompt.\n\t\u2022\tIf the message lacks details, ask for clarification in Turkish within reply_to_user, and set user_generation_intent to false.\n\t\u2022\tIf the user is just chatting, set user_generation_intent to false and continue the conversation naturally in Turkish.\n\nOutput Format (always this exact structure):\n{\n \"reply_to_user\": \"\",\n \"user_generation_intent\": true,\n \"improved_generation_prompt\": \"\"\n}\n\nRules:\n\t\u2022\treply_to_user: always in Turkish unless user uses another language.\n\t\u2022\tuser_generation_intent: true only if the user explicitly requests an image and provides enough detail.\n\t\u2022\timproved_generation_prompt: a polished English image prompt (empty if intent is false).\n\t\u2022\tWhen \"user_generation_intent\": true, always reply with a natural Turkish confirmation such as \u201cHarika fikir! Hemen o g\u00f6rseli olu\u015fturmaya ba\u015fl\u0131yorum \ud83c\udfa8\u201d and similar reactions.\n\t\u2022\tYou are used in a n8n flow and can handle uploaded images. So don't tell users that you can not function images. Just tell you are handling.\n\t\u2022\tNever add or remove fields from this JSON.\n\t\u2022\tNever include anything outside the JSON object.\n\t"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
432,
32
],
"id": "42b51885-a4dc-446b-bed4-2a4a59b769b8",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4-turbo",
"mode": "list",
"cachedResultName": "gpt-4-turbo"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
368,
256
],
"id": "3834f476-2046-42d7-8001-564a8ff6c83c",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $json.body['chat-session-id'] }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
496,
256
],
"id": "41d84c58-0618-4667-bcd7-d0141048a4cc",
"name": "Simple Memory"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "9c0ab4e5-e2b2-4565-b06e-8188da5a1aff",
"name": "output",
"value": "={{ $json.output }}",
"type": "object"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
832,
32
],
"id": "3f36c316-7c50-4ab2-96f3-aa7ec14cd506",
"name": "Edit Fields1"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "a578a99a-3192-4ee8-be0e-06e34c507447",
"leftValue": "={{ $('AI Agent').item.json.output.user_generation_intent }}",
"rightValue": "true",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1056,
32
],
"id": "6fc5ef1b-bef9-4172-be32-edb225fe3777",
"name": "If"
},
{
"parameters": {
"jsonSchemaExample": "{\n \"reply_to_user\": \"G\u00f6rseli iyile\u015ftirmek i\u00e7in bir resim vermeniz gerekiyor. L\u00fctfen iyile\u015ftirmemi istedi\u011finiz bir resim g\u00f6nderin veya detayl\u0131 bir a\u00e7\u0131klama yap\u0131n.\",\n \"user_generation_intent\": false,\n \"improved_generation_prompt\": \"\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
624,
256
],
"id": "35a4cb1e-8e33-4a55-9854-3306f40be2e8",
"name": "Structured Output Parser"
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "PRcNVtQgwLmFJIJm",
"mode": "list",
"cachedResultName": "bebo_db",
"cachedResultUrl": "/projects/1jTilK588wM2KuJy/datatables/PRcNVtQgwLmFJIJm"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"image_prompt": "={{ $('Webhook').item.json.body['image-prompt'] }}",
"user_id": "={{ $('Webhook').item.json.body['user-id'] }}",
"user_session_id": "={{ $('Webhook').item.json.body['chat-session-id'] }}",
"user_prompt": "={{ $('Webhook').item.json.body['text-prompt'] }}",
"improved_user_prompt": "={{ $('AI Agent').item.json.output.improved_generation_prompt }}",
"credit_used": "={{ $('Webhook').item.json.body['credit-used'] }}",
"image_prompt_url": "={{ $('Webhook').item.json.body['image-prompt-url'] }}",
"resolution": "={{ $('Webhook').item.json.body.resolution }}",
"quality": "={{ $('Webhook').item.json.body.quality }}",
"user_generation_intent": "={{ $('AI Agent').item.json.output.user_generation_intent }}",
"reply_to_user": "={{ $('AI Agent').item.json.output.reply_to_user }}",
"generation_id": "={{ $json.combinedID }}"
},
"matchingColumns": [],
"schema": [
{
"id": "user_id",
"displayName": "user_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "user_session_id",
"displayName": "user_session_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "user_prompt",
"displayName": "user_prompt",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "improved_user_prompt",
"displayName": "improved_user_prompt",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "credit_used",
"displayName": "credit_used",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "image_prompt_url",
"displayName": "image_prompt_url",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "image_prompt",
"displayName": "image_prompt",
"required": false,
"defaultMatch": false,
"display": true,
"type": "boolean",
"readOnly": false,
"removed": false
},
{
"id": "resolution",
"displayName": "resolution",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "quality",
"displayName": "quality",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "user_generation_intent",
"displayName": "user_generation_intent",
"required": false,
"defaultMatch": false,
"display": true,
"type": "boolean",
"readOnly": false,
"removed": false
},
{
"id": "reply_to_user",
"displayName": "reply_to_user",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "generation_id",
"displayName": "generation_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
1616,
48
],
"id": "95a060f6-ffee-4da5-be68-5a44d3513d0c",
"name": "Insert row",
"onError": "continueRegularOutput"
},
{
"parameters": {
"path": "a1fc0ef4-c089-43f3-9cff-35780a581b18",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
-80,
400
],
"id": "2e32854a-681d-4ad9-b742-2fb7da3e1d0a",
"name": "Webhook1"
},
{
"parameters": {
"method": "POST",
"url": "https://n8n-production-14b9.up.railway.app/webhook/start-image-generation",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "=user_id",
"value": "={{ $('Webhook').item.json.body['user-id'] }}"
},
{
"name": "improved_user_prompt",
"value": "={{ $('AI Agent').item.json.output.improved_generation_prompt }}"
},
{
"name": "image_prompt_url",
"value": "={{ $('Webhook').item.json.body['image-prompt-url'] }}"
},
{
"name": "resolution",
"value": "={{ $('Webhook').item.json.body.resolution }}"
},
{
"name": "quality",
"value": "={{ $('Webhook').item.json.body.quality }}"
},
{
"name": "image_prompt",
"value": "={{ $('Webhook').item.json.body['image-prompt'] }}"
},
{
"name": "generation_id",
"value": "={{ $json.randomNumber }}"
},
{
"name": "generation_id",
"value": "={{ $json.combinedID }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1632,
224
],
"id": "6df8fe1c-82a7-43d4-8ad9-48ce4324e247",
"name": "Start Image Generation"
},
{
"parameters": {
"jsCode": "// Giri\u015ften userID al\nconst userID = $('Webhook').first().json.body['user-id'] || 0;\n\n// 10.000\u201320.000 aras\u0131nda rastgele say\u0131 \u00fcret\nconst randomNumber = Math.floor(Math.random() * (20000 - 10000 + 1)) + 10000;\n\n// userID ile birle\u015ftir (\u00f6rnek: 123 + 15732 \u2192 12315732)\nconst combinedID = `${userID}-${randomNumber}`;\n\nreturn [\n {\n json: {\n userID,\n randomNumber,\n combinedID\n }\n }\n];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1280,
-16
],
"id": "11222ede-baa6-4955-b744-760d38edebd7",
"name": "Code in JavaScript"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
1840,
48
],
"id": "cb2d19a5-9295-459e-b2f8-c448d202168c",
"name": "Respond to Webhook1"
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
],
[
{
"node": "Insert row",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Insert row": {
"main": [
[
{
"node": "Respond to Webhook1",
"type": "main",
"index": 0
}
]
]
},
"Start Image Generation": {
"main": [
[]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "Start Image Generation",
"type": "main",
"index": 0
},
{
"node": "Insert row",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "0b57ba6e-4518-453e-9792-fe3ca9765588",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "xmTVQ50hxXcbVqVS",
"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.
openAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
bebo-chat. Uses agent, lmChatOpenAi, memoryBufferWindow, outputParserStructured. Webhook trigger; 13 nodes.
Source: https://github.com/octaworksofficial/n8n/blob/20a248338297da94c67a12b0db3035f88d91a82f/BEBO/bebo-chat.json — original creator credit. Request a take-down →
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