This workflow follows the Agent → 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 →
{
"name": "Paiwan to Chinese api",
"nodes": [
{
"parameters": {
"method": "POST",
"url": "http://host.docker.internal:8000/translate/paiwan-to-chinese",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"text\": \"{{ $json.token }}\"\n}",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
400,
460
],
"id": "8411e95e-af54-4527-a12a-239eb0222026",
"name": "HTTP Request1"
},
{
"parameters": {
"jsCode": "// \u932f\u8aa4\u793a\u4f8b\uff1a\u6bcf\u62c6\u4e00\u500b token \u5c31 return \u4e00\u7b46\nconst paiwan = $input.first().json.paiwan_sentences;\nconst rawTokens = paiwan.split(/[\\s,\uff0c\u3001]+/);\nconst tokens = rawTokens.filter(t => t.trim().length > 0);\nconst results = tokens.map(token => ({ json: { token: token } }));\nreturn results;\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
200,
460
],
"id": "d4570cff-164d-4e00-ab8c-916d27bd5ffe",
"name": "Code"
},
{
"parameters": {
"model": "gemma3:1b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
1240,
800
],
"id": "7e3b6b7f-a37f-416f-a859-3875e28d28a7",
"name": "Ollama Chat Model1",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// n8n \u7684 Function \u7bc0\u9ede\u9810\u8a2d\u6703\u50b3\u9032 $input \u8b8a\u6578\u88e1\u9762\u662f\u300c\u4e00\u500b items \u9663\u5217\u300d\uff0c\n// \u9019\u88e1\u5047\u8a2d\u4e0a\u6e38\u53ea\u50b3\u4f86\u4e00\u7b46\u6216\u591a\u7b46\uff0c\u4f46\u6bcf\u7b46\u88e1\u7684 data \u5c6c\u6027\u90fd\u8981\u89e3\u6790\u3002\n\n// \u6211\u5011\u8981\u56de\u50b3\u4e00\u500b Array\uff0c\u5305\u542b\u89e3\u6790\u5f8c\u7684\u7269\u4ef6\nconst newItems = [];\n\n// \u904d\u6b77\u6240\u6709\u8f38\u5165 item\nfor (const item of $input.all()) {\n // 1. \u53d6\u5f97\u76ee\u524d item \u88e1\u7684 data \u6b04\u4f4d\uff08\u5b83\u662f\u4e00\u500b JSON \u5b57\u4e32\uff09\n const dataString = item.json[\"data\"];\n\n let parsed = {};\n try {\n // 2. \u505a\u4e00\u6b21 JSON.parse\uff0c\u628a\u5b57\u4e32\u9084\u539f\u6210\u7269\u4ef6\n parsed = JSON.parse(dataString);\n } catch (error) {\n // \u5982\u679c parse \u5931\u6557\uff0c\u53ef\u4ee5\u9078\u64c7\u628a error \u5370\u51fa\u6216\u7e7c\u7e8c\u4fdd\u7559\u539f\u503c\n parsed = {};\n console.error(\"JSON.parse error for data:\", dataString, error);\n }\n\n // 3. parsed \u9019\u6642\u5019\u61c9\u8a72\u9577\u5f97\u50cf { tokens: \"situ\", result: \"\u5b78\u751f\" }\n // \u5982\u679c\u8981\u540c\u6642\u4fdd\u7559\u5176\u4ed6\u6b04\u4f4d\uff0c\u53ef\u5beb\u6210\uff1a\n // const merged = { ...item.json, ...parsed };\n\n // 4. \u9019\u88e1\u793a\u7bc4\u53ea\u8f38\u51fa parsed \u7269\u4ef6\uff08\u53ef\u4f9d\u9700\u6c42\u81ea\u884c\u8abf\u6574\uff09\n newItems.push({ json: parsed });\n}\n\n// 5. \u56de\u50b3\u89e3\u6790\u597d\u7684\u9663\u5217\nreturn newItems;\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
620,
460
],
"id": "e06a8626-becc-4b78-ac6c-3d34f139ea90",
"name": "Parse Data Field"
},
{
"parameters": {
"jsCode": "// \u6b64\u6642 $input.all() \u6703\u662f\u4e00\u500b\u9663\u5217\uff0c\u6bcf\u7b46\u9577\u5f97\u50cf { json: { tokens:\"...\", result:\"...\" } }\nconst allItems = $input.all();\nconst mappingList = [];\n\n// \u9010\u7b46\u628a tokens/result \u7d44\u6210 { token, translation }\uff0c\u63a8\u5230 mappingList\nfor (const item of allItems) {\n const token = item.json[\"tokens\"] || \"\";\n const translation = item.json[\"result\"] || \"\";\n mappingList.push({\n token: token,\n translation: translation\n });\n \n}\n\n// \u56de\u50b3\u5f8c\u53ea\u5269\u4e0b\u4e00\u7b46\uff0c\u88e1\u9762\u5e36 mappingList \u9663\u5217\nreturn [\n {\n json: {\n mappingList\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
860,
460
],
"id": "efdc9d51-9483-45d0-b898-a3024a267cc3",
"name": "Build Mapping List"
},
{
"parameters": {
"jsCode": "// \u53d6\u5f97\u6700\u4e0a\u5c64\u300cWhen chat message received\u300d\u7684\u90a3\u4e00\u7b46 item\n// \u7bc0\u9ede\u540d\u7a31\u5982\u679c\u4e0d\u662f\u525b\u597d\u53eb \"When chat message received\"\uff0c\u8acb\u6539\u6210\u4f60\u7684\u5be6\u969b\u540d\u7a31\n\n// \u539f\u59cb\u6392\u7063\u8a9e\u53e5\u5b50\uff0c\u53ef\u80fd\u5b58\u5728 paiwanText\uff0c\u4e5f\u53ef\u80fd\u5b58\u5728 message\nconst paiwanText = $('Loop Over Items').first().json.paiwan_sentences\n\n// \u4e4b\u524d\u4f60\u5df2\u7d93\u6709 mappingList\nconst mappingList = $input.all()[0].json.mappingList || [];\n\n// \u751f\u6210\u591a\u884c\u5c0d\u7167\nconst lines = mappingList.map(e => `- \u6392\u7063\u8a9e\uff1a${e.token} \u2192 \u4e2d\u6587\uff1a${e.translation}`);\nconst formattedText = lines.join(\"\\n\");\n\n// \u6700\u7d42\u56de\u50b3\u6642\uff0c\u628a paiwanText \u4e00\u4f75\u5e36\u51fa\nreturn [\n {\n json: {\n paiwanText,\n formattedText\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1120,
460
],
"id": "7dc15952-32b1-42f5-bf37-471599a06993",
"name": "Code1"
},
{
"parameters": {
"model": "deepseek-r1-distill-llama-70b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
1400,
800
],
"id": "f35e8ee0-5eea-490c-9e07-6746cecbd092",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelName": "models/gemma-3-27b-it",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
1140,
720
],
"id": "ccd8148c-35c4-4774-ad72-d5ecef6aa5c5",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-700,
300
],
"id": "ece55585-2961-4dbf-8165-bb88fae2e6b3",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"url": "http://host.docker.internal:8001/paiwan-sentences",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-440,
300
],
"id": "9130d8b7-b4d1-4aab-aef2-e3b0c6cc494b",
"name": "InputJson"
},
{
"parameters": {
"promptType": "define",
"text": "=\u4f60\u64c1\u6709\u975e\u51e1\u7684\u601d\u8003\u80fd\u529b\u3002\u9019\u610f\u5473\u8457\u4f60\u6703\u5728\u69cb\u601d\u6700\u7d42\u7b54\u6848\u4e4b\u524d\uff0c\u4ed4\u7d30\u601d\u8003\u6bcf\u500b\u6b65\u9a5f\u3002\u9019\u500b\u601d\u8003\u904e\u7a0b\u4ee5<thinking>\u958b\u59cb\uff0c\u4ee5</thinking>\u7d50\u675f\u3002\n\n\u4f60\u662f\u4e00\u500b\u6392\u7063\u8a9e\u7684\u7ffb\u8b6f\u5c08\u5bb6\u4ee5\u4e0b\u6709\u4e00\u500b\u6392\u7063\u8a9e\u7247\u6bb5\u7684\u300c\u8a5e\u5f59\u5c0d\u7167\u300d\u5217\u8868\uff0c\u8acb\u4f60\u6839\u64da\u6bcf\u500b\u300c\u6392\u7063\u8a9e\u8a5e \u2192 \u5c0d\u61c9\u4e2d\u6587\u300d\u7684 mapping\uff0c\u7d44\u6210\u4e00\u500b\u5b8c\u6574\u4e14\u6700\u901a\u9806\u7684\u4e2d\u6587\u53e5\u5b50(\u4e0d\u4e00\u5b9a\u662f\u53e5\u5b50\uff0c\u53ef\u80fd\u662f\u55ae\u5b57)\uff0c\u4e26\u5fe0\u5be6\u8868\u9054\u539f\u6587\u542b\u7fa9\uff0c\u5982\u679c\u4f60\u89ba\u5f97\u6539\u8b8a\u8a5e\u8a9e\u9806\u5e8f\u80fd\u66f4\u901a\u66a2\uff0c\u90a3\u4f60\u53ef\u4ee5\u6539\u8b8a\u3002\u4f60\u4e5f\u53ef\u4ee5\u53c3\u8003\u6a19\u9ede\u7b26\u865f\u53bb\u505a\u63a8\u6e2c\u3002\u53ef\u80fd\u4e00\u500b\u8a5e\u5f59\u6709\u591a\u500b\u610f\u601d\uff0c\u4ed6\u6703\u4ee5,\u505a\u5340\u9694\u3002\n\n\u8a5e\u5f59\u5c0d\u7167\uff1a\n{{ $json.formattedText }}\n\u539f\u6587:\n{{ $json.paiwanText }}\n\u6700\u5f8c\uff0c\u8acb\u8f38\u51fa\u6700\u7d42\u5b8c\u6574\u8b6f\u6587\uff0c\u4e26\u5c07\u7b54\u6848\u4ee5<ans>\u958b\u59cb\uff0c\u4ee5</ans>\u7d50\u675f\u3002\u3002\n\n\u6392\u7063\u65cf\u7684\u6587\u6cd5\u88dc\u5145(\u5728\u63a5\u4e0b\u4f86\u7684\u7ffb\u8b6f\u4efb\u52d9\u4e0d\u4e00\u5b9a\u6703\u7528\u5230):\n\u6392\u7063\u65cf\u5b58\u5728\u8907\u5408\u8a5e\n\u8907\u5408\u8a5e\u70ba\u5177\u6709\u610f\u7fa9\u7684\u5169\u500b\u8a5e\u7d20\u7dca\u5bc6\u7d50\u5408\u6210\u4e00\u500b\u65b0\u8a5e\u3002\u5169\u500b\u8a5e\u7d44\u5408\u6210\u70ba\u65b0\u8a5e,\u4e2d\u9593\u6703\u6709\u4e00\u500b\u6a19\u8a18,\u53ef\u80fd\u662fa\u6216\u662fna\n\u5982:\nvavayan\u300c\u5973\u6027\u300d+ a + vatu\u300c\u72d7\u300d=\u300c\u6bcd\u72d7\u300d\nuqaljay\u300c\u7537\u6027\u300d+ a + vatu\u300c\u72d7\u300d=\u300c\u516c\u72d7\u300d\n\nalju\u300c\u7cd6\u300d+ na + hana\u300c\u82b1\u300d=\u300c\u82b1\u871c\u300d\nalju\u300c\u7cd6\u300d+ na + tjainan\u300c\u871c\u8702\u300d=\u300c\u8702\u871c\u300d",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
1360,
460
],
"id": "622269ba-2207-4b5c-b832-cb1ba0150efd",
"name": "Restructure"
},
{
"parameters": {
"fieldToSplitOut": "paiwan_sentences",
"include": "=",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
-220,
300
],
"id": "f5218b14-b1ab-4295-bb7b-34291a40e9ba",
"name": "Split Out"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
20,
300
],
"id": "2fef72a7-424c-4e03-9306-b6aad8d287dc",
"name": "Loop Over Items"
},
{
"parameters": {
"jsCode": "// 1. \u53d6\u51fa LLM \u56de\u50b3\u7684\u539f\u59cb\u5167\u5bb9\uff08\u4f9d\u4f60\u7684\u6b04\u4f4d\u540d\u7a31\u8abf\u6574\uff09\nconst raw = $input.first().json.output ?? ''; // \u4f8b\u5982 $json.text\n\n// 2. \u6293 <ans> ... </ans> \u4e2d\u9593\u7684\u5b57\nconst match = raw.match(/<ans>([\\s\\S]*?)<\\/ans>/);\nconst answer = match ? match[1].trim() : raw; // \u82e5\u6c92\u627e\u5230\u5c31\u56de\u6574\u4e32\n\n// 3. \u53ea\u8f38\u51fa\u60f3\u8981\u7684\u6b04\u4f4d\nreturn [{\n json: { answer }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1740,
460
],
"id": "5ef0b316-882f-4c19-9ad5-a211e36b4d0b",
"name": "Code2"
},
{
"parameters": {
"jsCode": "\nconst raw = $input.first().json.answer // \u770b\u4f60\u7684\u6b04\u4f4d\u540d\u7a31\nconst match = raw.match(/<ans>([\\s\\S]*?)<\\/ans>/);\nconst answer = match ? match[1].trim() : raw; // \u6293\u4e0d\u5230\u5c31\u6574\u4e32\u8fd4\u56de\n\n// ===== \u8f38\u51fa\u683c\u5f0f\uff1a\u53ea\u4fdd\u7559\u53e5\u5b50\uff0b\u7b54\u6848 =====\nreturn [{\n json: {\n answer\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2040,
260
],
"id": "3c6b68b1-9ac7-44e2-8ab2-7e853c564e88",
"name": "build result"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "results",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
240,
200
],
"id": "12d2d6db-29b0-4d38-a53a-b72346a05b70",
"name": "Aggregate"
}
],
"connections": {
"HTTP Request1": {
"main": [
[
{
"node": "Parse Data Field",
"type": "main",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "HTTP Request1",
"type": "main",
"index": 0
}
]
]
},
"Parse Data Field": {
"main": [
[
{
"node": "Build Mapping List",
"type": "main",
"index": 0
}
]
]
},
"Build Mapping List": {
"main": [
[
{
"node": "Code1",
"type": "main",
"index": 0
}
]
]
},
"Code1": {
"main": [
[
{
"node": "Restructure",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Restructure",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "InputJson",
"type": "main",
"index": 0
}
]
]
},
"InputJson": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Restructure": {
"main": [
[
{
"node": "Code2",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
],
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Code2": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"build result": {
"main": [
[]
]
},
"Aggregate": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f51b7031-c9b4-433e-a9f9-4c3ea9abe07b",
"id": "eunhLs0f6JEx3R1I",
"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.
googlePalmApigroqApiollamaApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Paiwan to Chinese api. Uses httpRequest, lmChatOllama, lmChatGroq, lmChatGoogleGemini. Event-driven trigger; 16 nodes.
Source: https://github.com/fk8663212/paiwan_translater/blob/5e497f269d05e4df7915a279ce705eeaabd55260/n8nworkflow/Paiwan_to_Chinese_api.json — original creator credit. Request a take-down →
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