This workflow follows the Chainllm → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "LINE AI Sales Bot",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "line-sales-bot",
"responseMode": "responseNode",
"options": {}
},
"id": "webhook-1",
"name": "LINE Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
1080,
1400
]
},
{
"parameters": {
"jsCode": "const input = $input.first().json;\nconst body = input.body || input;\nconst events = body.events || [];\nconst event = events[0] || null;\nif (!event || !event.replyToken || (event.type !== 'message' && event.type !== 'postback')) return [{ json: { replyable: false } }];\nconst message = event.message || {};\nconst text = event.type === 'message' && message.type === 'text' ? String(message.text || '').trim() : '';\nreturn [{ json: { replyable: true, replyToken: event.replyToken, lineUserId: event.source?.userId || 'unknown', chatInput: text || 'Show me the help menu' } }];"
},
"id": "code-parse",
"name": "Parse LINE Event",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1320,
1400
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.replyable }}",
"operator": {
"type": "boolean",
"operation": "true"
},
"rightValue": true
}
],
"combinator": "and"
},
"options": {}
},
"id": "if-1",
"name": "Is Replyable LINE Event?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1560,
1400
]
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.chatInput }}",
"hasOutputParser": true,
"messages": {
"messageValues": [
{
"message": "Classify the customer message into exactly one action: product_search, order_track, support_ticket, or hang_to_human. Detect language as Eng or Th. Return only the structured result."
}
]
},
"batching": {}
},
"id": "llm-chain",
"name": "Classify Customer Message",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1820,
1300
]
},
{
"parameters": {
"model": "qwen3:8b",
"options": {
"temperature": 0,
"keepAlive": "30m"
}
},
"id": "model-1",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
2020,
1600
]
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"action\": { \"type\": \"string\", \"enum\": [\"product_search\", \"order_track\", \"support_ticket\", \"hang_to_human\"] },\n \"language\": { \"type\": \"string\", \"enum\": [\"Eng\", \"Th\"] }\n },\n \"required\": [\"action\", \"language\"],\n \"additionalProperties\": false\n}"
},
"id": "parser-1",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
2200,
1600
]
},
{
"parameters": {
"jsCode": "const line = $('Parse LINE Event').first().json;\nconst result = $input.first().json.output || {};\nreturn [{ json: Object.assign({}, line, result) }];"
},
"id": "combine-1",
"name": "Combine Context + Classification",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2060,
1300
]
},
{
"parameters": {
"mode": "expression",
"output": "={{ ['product_search','order_track','support_ticket','hang_to_human'].indexOf($json.action) }}",
"looseTypeValidation": true
},
"id": "switch-1",
"name": "Route by Action",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.4,
"position": [
2300,
1300
]
},
{
"parameters": {
"jsCode": "const th = $json.language === 'Th';\nreturn [{ json: { ...$json, replyText: th ? '\u0e44\u0e14\u0e49\u0e40\u0e25\u0e22\u0e04\u0e23\u0e31\u0e1a \u0e2a\u0e48\u0e07\u0e0a\u0e37\u0e48\u0e2d\u0e2a\u0e34\u0e19\u0e04\u0e49\u0e32 \u0e23\u0e38\u0e48\u0e19 \u0e2b\u0e23\u0e37\u0e2d\u0e2a\u0e34\u0e48\u0e07\u0e17\u0e35\u0e48\u0e01\u0e33\u0e25\u0e31\u0e07\u0e21\u0e2d\u0e07\u0e2b\u0e32\u0e21\u0e32\u0e44\u0e14\u0e49\u0e40\u0e25\u0e22' : 'Please send the product name, model, or what you are looking for.' } }];"
},
"id": "reply-1",
"name": "Product Search Reply",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2580,
1060
]
},
{
"parameters": {
"jsCode": "const th = $json.language === 'Th';\nreturn [{ json: { ...$json, replyText: th ? '\u0e01\u0e23\u0e38\u0e13\u0e32\u0e2a\u0e48\u0e07\u0e40\u0e25\u0e02\u0e04\u0e33\u0e2a\u0e31\u0e48\u0e07\u0e0b\u0e37\u0e49\u0e2d\u0e2b\u0e23\u0e37\u0e2d\u0e2b\u0e21\u0e32\u0e22\u0e40\u0e25\u0e02\u0e15\u0e34\u0e14\u0e15\u0e32\u0e21\u0e1e\u0e31\u0e2a\u0e14\u0e38' : 'Please send your order number or tracking number.' } }];"
},
"id": "reply-2",
"name": "Order Tracking Reply",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2580,
1220
]
},
{
"parameters": {
"jsCode": "const th = $json.language === 'Th';\nreturn [{ json: { ...$json, replyText: th ? '\u0e22\u0e34\u0e19\u0e14\u0e35\u0e0a\u0e48\u0e27\u0e22\u0e04\u0e23\u0e31\u0e1a \u0e01\u0e23\u0e38\u0e13\u0e32\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e1b\u0e31\u0e0d\u0e2b\u0e32\u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21' : 'I am happy to help. Please describe your issue in more detail.' } }];"
},
"id": "reply-3",
"name": "Support Reply",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2580,
1380
]
},
{
"parameters": {
"jsCode": "const th = $json.language === 'Th';\nreturn [{ json: { ...$json, replyText: th ? '\u0e17\u0e35\u0e21\u0e07\u0e32\u0e19\u0e08\u0e30\u0e40\u0e02\u0e49\u0e32\u0e21\u0e32\u0e14\u0e39\u0e41\u0e25\u0e15\u0e48\u0e2d \u0e01\u0e23\u0e38\u0e13\u0e32\u0e1d\u0e32\u0e01\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e44\u0e27\u0e49\u0e44\u0e14\u0e49\u0e40\u0e25\u0e22' : 'A human agent will assist you shortly. Please leave the details here.' } }];"
},
"id": "reply-4",
"name": "Human Handoff Reply",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2580,
1540
]
},
{
"parameters": {
"method": "POST",
"url": "https://api.line.me/v2/bot/message/reply",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_LINE_CHANNEL_ACCESS_TOKEN"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ { replyToken: $json.replyToken, messages: [{ type: 'text', text: $json.replyText }] } }}",
"options": {
"response": {
"response": {
"neverError": true,
"responseFormat": "json"
}
}
}
},
"id": "http-reply",
"name": "Send LINE Reply",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
2860,
1300
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": {
"ok": true
},
"options": {
"responseCode": 200
}
},
"id": "respond-1",
"name": "Respond to LINE",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [
3120,
1300
]
}
],
"connections": {
"LINE Webhook": {
"main": [
[
{
"node": "Parse LINE Event",
"type": "main",
"index": 0
}
]
]
},
"Parse LINE Event": {
"main": [
[
{
"node": "Is Replyable LINE Event?",
"type": "main",
"index": 0
}
]
]
},
"Is Replyable LINE Event?": {
"main": [
[
{
"node": "Classify Customer Message",
"type": "main",
"index": 0
}
],
[]
]
},
"Classify Customer Message": {
"main": [
[
{
"node": "Combine Context + Classification",
"type": "main",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "Classify Customer Message",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Classify Customer Message",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Combine Context + Classification": {
"main": [
[
{
"node": "Route by Action",
"type": "main",
"index": 0
}
]
]
},
"Route by Action": {
"main": [
[
{
"node": "Product Search Reply",
"type": "main",
"index": 0
}
],
[
{
"node": "Order Tracking Reply",
"type": "main",
"index": 0
}
],
[
{
"node": "Support Reply",
"type": "main",
"index": 0
}
],
[
{
"node": "Human Handoff Reply",
"type": "main",
"index": 0
}
]
]
},
"Product Search Reply": {
"main": [
[
{
"node": "Send LINE Reply",
"type": "main",
"index": 0
}
]
]
},
"Order Tracking Reply": {
"main": [
[
{
"node": "Send LINE Reply",
"type": "main",
"index": 0
}
]
]
},
"Support Reply": {
"main": [
[
{
"node": "Send LINE Reply",
"type": "main",
"index": 0
}
]
]
},
"Human Handoff Reply": {
"main": [
[
{
"node": "Send LINE Reply",
"type": "main",
"index": 0
}
]
]
},
"Send LINE Reply": {
"main": [
[
{
"node": "Respond to LINE",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": false
}
}
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About this workflow
LINE AI Sales Bot. Uses chainLlm, lmChatOllama, outputParserStructured, httpRequest. Webhook trigger; 14 nodes.
Source: https://github.com/mobizmad/n8n-workflow-templates/blob/main/chatbots/line-ai-sales-bot/workflow.json — original creator credit. Request a take-down →
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