This workflow follows the Airtable → 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": "inoreader_AI->196267257",
"nodes": [
{
"parameters": {
"url": "={{ $json.link }}",
"sendBody": true,
"contentType": "raw",
"rawContentType": "JSON",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-3568,
160
],
"id": "ed349a58-39e1-4d05-8bfb-aca51d42d7d5",
"name": "HTTP Request"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "Content",
"cssSelector": "*"
}
]
},
"options": {
"trimValues": true,
"cleanUpText": true
}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
-3152,
160
],
"id": "20504b53-b9bf-4d31-b3cf-7e7bde8e62a7",
"name": "HTML"
},
{
"parameters": {
"jsCode": "return [\n {\n json: {\n prompt: items[0].json.Content.join('\\n\\n')\n }\n }\n];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-3040,
-112
],
"id": "0524a433-b906-4209-84bb-4c417aa328aa",
"name": "\u0424\u043e\u0440\u043c\u0430\u0442 \u0434\u043b\u044f AI",
"notesInFlow": false
},
{
"parameters": {
"method": "POST",
"url": "https://api.telegra.ph/createAccount",
"sendBody": true,
"contentType": "form-urlencoded",
"bodyParameters": {
"parameters": [
{
"name": "short_name",
"value": "Trinity AI"
},
{
"name": "author_name",
"value": "Trinity AI"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-2864,
704
],
"id": "7d16ce85-7752-4a4b-a896-c002cd6f1e08",
"name": "\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0442\u043e\u043a\u0435\u043d\u0430"
},
{
"parameters": {
"method": "POST",
"url": "https://api.telegra.ph/createPage",
"sendBody": true,
"contentType": "form-urlencoded",
"bodyParameters": {
"parameters": [
{
"name": "access_token",
"value": "={{ $json.result.access_token }}"
},
{
"name": "title",
"value": "={{ $('3. \u0410\u043d\u043e\u043d\u0441').item.json.choices[0].message.content }}"
},
{
"name": "author_name",
"value": "Trinity AI"
},
{
"name": "author_url",
"value": "https://alexeykrol.com/trinityai/"
},
{
"name": "content",
"value": "={{ $('\u0424\u043e\u0440\u043c\u0430\u0442 telegra.ph').item.json.formatted }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-2640,
704
],
"id": "d25bba9f-3f8c-42c8-a6f1-d88e49f24202",
"name": "\u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f telegra.ph"
},
{
"parameters": {
"jsCode": "const content = items[0].json.choices[0].message.content;\n\n// \u0412\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u043c \u043f\u0435\u0440\u0435\u0432\u043e\u0434 \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u043e\u0441\u043b\u0435 \u0442\u043e\u0447\u043a\u0438, \u0435\u0441\u043b\u0438 \u0434\u0430\u043b\u0435\u0435 \u043f\u0440\u043e\u0431\u0435\u043b \u0438 \u0437\u0430\u0433\u043b\u0430\u0432\u043d\u0430\u044f \u0431\u0443\u043a\u0432\u0430 \u0438\u043b\u0438 \u0446\u0438\u0444\u0440\u0430\nconst formatted = content.replace(/([.?!])\\s+(?=\\p{Lu}|\\d)/gu, '$1\\n');\n\nreturn [{\n json: {\n formatted\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1312,
416
],
"id": "fcd98716-8c63-4d74-87ec-07aaf9947852",
"name": "\u0420\u0430\u0437\u0431\u0438\u0432\u0430\u0435\u0442 \u0442\u0435\u043a\u0441\u0442"
},
{
"parameters": {
"jsCode": "const formatted = items[0].json.formatted;\n\nconst paragraphs = formatted.split('\\n').map(s => s.trim()).filter(Boolean);\n\nconst telegraphNodes = paragraphs.map(text => ({\n tag: \"p\",\n children: [text]\n}));\n\nreturn [\n {\n json: {\n formatted: JSON.stringify(telegraphNodes) // \u0433\u043e\u0442\u043e\u0432\u043e \u0434\u043b\u044f \u043e\u0442\u043f\u0440\u0430\u0432\u043a\u0438 \u0432 Telegra.ph\n }\n }\n];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1088,
416
],
"id": "36480a95-4af2-4d5e-9fdc-35798ab8a3d3",
"name": "\u0424\u043e\u0440\u043c\u0430\u0442 telegra.ph",
"notes": "\u0420\u0430\u0437\u0431\u0435\u0440\u0451\u043c \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e \u0438 \u043f\u043e-\u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u0438, \u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 \u044d\u0442\u043e\u0442 \u043a\u043e\u0434, \u043f\u043e\u0441\u0442\u0440\u043e\u0447\u043d\u043e, \u0441\u043b\u043e\u0432\u0430\u043c\u0438 \u0434\u043b\u044f \u0447\u0430\u0439\u043d\u0438\u043a\u0430. \u042d\u0442\u043e \u043a\u043e\u0434 \u0438\u0437 n8n, \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 JavaScript, \u0438 \u043e\u043d \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442 \u0432 \u043c\u0430\u0441\u0441\u0438\u0432 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432, \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u0434\u043b\u044f \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438 \u043d\u0430 Telegra.ph.\n\n\u2e3b\n\n\ud83d\udd22 \u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435:\n\n\u0422\u044b \u043f\u043e\u0434\u0430\u0451\u0448\u044c \u043d\u0430 \u0432\u0445\u043e\u0434 \u0442\u0435\u043a\u0441\u0442, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0430\u0431\u0437\u0430\u0446\u044b \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u044b \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0430\u043c\u0438 \u0441\u0442\u0440\u043e\u043a (\\n).\n\n\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:\n\n\u041f\u0435\u0440\u0432\u044b\u0439 \u0430\u0431\u0437\u0430\u0446.\n\n\u0412\u0442\u043e\u0440\u043e\u0439 \u0430\u0431\u0437\u0430\u0446.\n\n\u0422\u0440\u0435\u0442\u0438\u0439 \u0430\u0431\u0437\u0430\u0446.\n\n\n\u2e3b\n\n\ud83e\udde0 \u041f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u0440\u0430\u0437\u0431\u043e\u0440:\n\nconst formatted = items[0].json.formatted;\n\n\ud83d\udccc \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442:\n\t\u2022\t\u0411\u0435\u0440\u0451\u0442 \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430 \u0432\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u043c\u0430\u0441\u0441\u0438\u0432\u0430 items[0] \u043f\u043e\u043b\u0435 json.formatted \u2014 \u0432 \u043d\u0451\u043c \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0442\u0432\u043e\u0439 \u0442\u0435\u043a\u0441\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0442\u044b \u0437\u0430\u0440\u0430\u043d\u0435\u0435 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b (\u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u0438\u0437 GPT).\n\n\ud83d\udc40 \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0442\u0430\u043c \u0442\u0430\u043a\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430:\n\n\u042d\u0442\u043e \u043f\u0435\u0440\u0432\u044b\u0439 \u0430\u0431\u0437\u0430\u0446.\\n\\n\u042d\u0442\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0430\u0431\u0437\u0430\u0446.\\n\\n\u042d\u0442\u043e \u0442\u0440\u0435\u0442\u0438\u0439 \u0430\u0431\u0437\u0430\u0446.\n\n\n\u2e3b\n\n\nconst paragraphs = formatted\n .split('\\n') // \u0440\u0430\u0437\u0440\u0435\u0437\u0430\u0435\u043c \u043f\u043e \u043a\u0430\u0436\u0434\u043e\u0439 \u043d\u043e\u0432\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0435\n .map(s => s.trim()) // \u0443\u0431\u0438\u0440\u0430\u0435\u043c \u043b\u0438\u0448\u043d\u0438\u0435 \u043f\u0440\u043e\u0431\u0435\u043b\u044b \u0432\u043e\u043a\u0440\u0443\u0433 \u0441\u0442\u0440\u043e\u043a\n .filter(Boolean); // \u0443\u0434\u0430\u043b\u044f\u0435\u043c \u043f\u0443\u0441\u0442\u044b\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 (\u0432\u0440\u043e\u0434\u0435 \"\")\n\n\ud83d\udccc \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442:\n\t1.\t.split('\\n') \u2014 \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0441\u0442\u0440\u043e\u043a\u0443 \u0432 \u043c\u0430\u0441\u0441\u0438\u0432 \u0441\u0442\u0440\u043e\u043a, \u0440\u0430\u0437\u0434\u0435\u043b\u044f\u044f \u043f\u043e \\n.\n\t2.\t.map(s => s.trim()) \u2014 \u0443\u0431\u0438\u0440\u0430\u0435\u0442 \u043f\u0440\u043e\u0431\u0435\u043b\u044b \u0443 \u043d\u0430\u0447\u0430\u043b\u0430 \u0438 \u043a\u043e\u043d\u0446\u0430 \u043a\u0430\u0436\u0434\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438.\n\t3.\t.filter(Boolean) \u2014 \u0443\u0434\u0430\u043b\u044f\u0435\u0442 \u043f\u0443\u0441\u0442\u044b\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0435\u0441\u043b\u0438 \u0431\u044b\u043b\u043e \u0434\u0432\u0435 \u043f\u0443\u0441\u0442\u044b\u0445 \u0441\u0442\u0440\u043e\u043a\u0438 \u043f\u043e\u0434\u0440\u044f\u0434).\n\n\ud83d\udc40 \u0427\u0442\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u0441\u044f:\n\n[\n \"\u042d\u0442\u043e \u043f\u0435\u0440\u0432\u044b\u0439 \u0430\u0431\u0437\u0430\u0446.\",\n \"\u042d\u0442\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0430\u0431\u0437\u0430\u0446.\",\n \"\u042d\u0442\u043e \u0442\u0440\u0435\u0442\u0438\u0439 \u0430\u0431\u0437\u0430\u0446.\"\n]\n\n\n\u2e3b\n\n\nconst telegraphNodes = paragraphs.map(text => ({\n tag: \"p\",\n children: [text]\n}));\n\n\ud83d\udccc \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442:\n\t\u2022\t\u041f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0438\u0437 \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0432 \u043e\u0431\u044a\u0435\u043a\u0442, \u043f\u043e\u043d\u044f\u0442\u043d\u044b\u0439 API Telegra.ph.\n\n\ud83d\udc40 \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442:\n\n[\n { tag: \"p\", children: [\"\u042d\u0442\u043e \u043f\u0435\u0440\u0432\u044b\u0439 \u0430\u0431\u0437\u0430\u0446.\"] },\n { tag: \"p\", children: [\"\u042d\u0442\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0430\u0431\u0437\u0430\u0446.\"] },\n { tag: \"p\", children: [\"\u042d\u0442\u043e \u0442\u0440\u0435\u0442\u0438\u0439 \u0430\u0431\u0437\u0430\u0446.\"] }\n]\n\n\u042d\u0442\u043e \u0443\u0436\u0435 \u0444\u043e\u0440\u043c\u0430\u0442 Telegra.ph, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0442\u044b \u043f\u043e\u0442\u043e\u043c \u043c\u043e\u0436\u0435\u0448\u044c \u043e\u0442\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u0432 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044e.\n\n\u2e3b\n\n\nreturn [\n {\n json: {\n formatted: JSON.stringify(telegraphNodes)\n }\n }\n];\n\n\ud83d\udccc \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442:\n\t\u2022\t\u0412\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043e\u0434\u0438\u043d \u043e\u0431\u044a\u0435\u043a\u0442 \u0432 return, \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 n8n.\n\t\u2022\t\u0412\u043d\u0443\u0442\u0440\u0438 \u043d\u0435\u0433\u043e \u043f\u043e\u043b\u0435 formatted \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0441\u0442\u0440\u043e\u043a\u0443 \u2014 \u0441\u0435\u0440\u0438\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0439 (JSON.stringify) \u043c\u0430\u0441\u0441\u0438\u0432 \u043f\u0430\u0440\u0430\u0433\u0440\u0430\u0444\u043e\u0432, \u0433\u043e\u0442\u043e\u0432\u044b\u0439 \u043a \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0435 \u0432 Telegra.ph API.\n\n\ud83d\udc40 \u041f\u0440\u0438\u043c\u0435\u0440 \u0444\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e JSON:\n\n{\n \"formatted\": \"[{\\\"tag\\\":\\\"p\\\",\\\"children\\\":[\\\"\u042d\u0442\u043e \u043f\u0435\u0440\u0432\u044b\u0439 \u0430\u0431\u0437\u0430\u0446.\\\"]},{\\\"tag\\\":\\\"p\\\",\\\"children\\\":[\\\"\u042d\u0442\u043e \u0432\u0442\u043e\u0440\u043e\u0439 \u0430\u0431\u0437\u0430\u0446.\\\"]}]\"\n}\n\n\n\u2e3b\n\n\ud83e\uddfe \u0412\u044b\u0432\u043e\u0434:\n\n\u042d\u0442\u043e\u0442 \u043a\u043e\u0434 \u0434\u0435\u043b\u0430\u0435\u0442 4 \u0432\u0435\u0449\u0438:\n\t1.\t\u0411\u0435\u0440\u0451\u0442 \u0433\u043e\u0442\u043e\u0432\u044b\u0439 \u0442\u0435\u043a\u0441\u0442 \u0438\u0437 \u043f\u043e\u043b\u044f formatted;\n\t2.\t\u0420\u0430\u0437\u0431\u0438\u0432\u0430\u0435\u0442 \u0435\u0433\u043e \u043d\u0430 \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u0430\u0431\u0437\u0430\u0446\u044b;\n\t3.\t\u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u0443\u0435\u0442 \u043a\u0430\u0436\u0434\u044b\u0439 \u0430\u0431\u0437\u0430\u0446 \u0432 Telegra.ph-\u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u044b\u0439 \u043e\u0431\u044a\u0435\u043a\u0442;\n\t4.\t\u041e\u0442\u0434\u0430\u0451\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043a\u0430\u043a JSON-\u0441\u0442\u0440\u043e\u043a\u0443 \u0434\u043b\u044f \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438.\n\n\u2e3b\n\n\u0425\u043e\u0447\u0435\u0448\u044c \u2014 \u043c\u043e\u0433\u0443 \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u043a\u043e\u0434, \u0447\u0442\u043e\u0431\u044b \u043e\u043d \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u043b \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0438, \u0436\u0438\u0440\u043d\u044b\u0435 \u0444\u0440\u0430\u0437\u044b, \u0441\u0441\u044b\u043b\u043a\u0438 \u0438 \u043f\u0440\u043e\u0447\u0435\u0435 \u043f\u043e \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c Telegra.ph."
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-4.1-nano",
"mode": "list",
"cachedResultName": "GPT-4.1-NANO"
},
"messages": {
"values": [
{
"content": "Task 1: Clean and extract content.\nCarefully preserve the article\u2019s core content.\n\u2013 Remove all irrelevant elements such as menus, links, navigation, subscription boxes, logos, buttons, and promotional material.\n\u2013 Keep only the main text of the article and any information about the author.\n\u2013 Do not rewrite or summarize. Do not add anything that was not originally in the article.\n\nTask 2: Analyze for AI relevance.\nAfter cleaning, analyze the resulting text.\nIf the article explicitly or implicitly refers to artificial intelligence, including any of the following:\n\t\u2022\tAI models (e.g. LLMs, neural networks, machine learning, generative AI)\n\t\u2022\tAI applications (e.g. automation, generation, chatbots, assistants, robotics, synthesis, analytics)\n\t\u2022\tDiscussion of AI-related risks, regulations, ethics, or impact (on science, markets, creativity, society, military, etc.)\n\t\u2022\tSpecific companies, products, or use cases where AI is a central topic\n\n\u2192 Then, at the very end of the output, on a new line, append this exact word: \"aicontent\".\n\nIf AI is not mentioned at all, or only briefly or irrelevantly,\n\u2192 Then append this word instead: \"noai\".\n\nYour output should be:\n1. The cleaned article content, exactly as found.\n2. A single word \"aicontent\" or \"noai\" appended on a new line at the end.\n3. Do not include titles, summaries, explanations, or any extra text.",
"role": "system"
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"notes": "4.1nano"
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"name": "2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439",
"notesInFlow": true,
"notes": "4o"
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"mode": "list",
"cachedResultName": "GPT-4.1-NANO"
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"messages": {
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"role": "system"
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{
"content": "={{ $json.choices[0].message.content }}"
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"type": "@n8n/n8n-nodes-langchain.openAi",
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"id": "08b0bd1e-0a7d-4444-9068-8f62c941b02f",
"name": "3. \u0410\u043d\u043e\u043d\u0441",
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"role": "system"
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"assignments": {
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{
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"name": "token_noai",
"value": "={{ $('1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai').item.json.usage.prompt_tokens }}",
"type": "number"
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{
"id": "b46097b9-474f-47e5-b154-fe401a6e40fe",
"name": "token_anonce",
"value": "={{ $('3. \u0410\u043d\u043e\u043d\u0441').item.json.usage.prompt_tokens }}",
"type": "number"
},
{
"id": "f2e14e7d-6a19-4d3c-97f8-674aca739af7",
"name": "token_sammary",
"value": "={{ $('4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438').item.json.usage.prompt_tokens }}",
"type": "number"
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{
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"value": "={{ $('1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai').item.json.usage.prompt_tokens + $('3. \u0410\u043d\u043e\u043d\u0441').item.json.usage.prompt_tokens + $('4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438').item.json.usage.prompt_tokens }}",
"type": "number"
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"typeVersion": 3.4,
"position": [
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704
],
"id": "09e627b7-e0b0-4d60-93c7-7c862a063dc9",
"name": "P_token4.1nano1"
},
{
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"jsCode": "const cost1 = $items('\u0426\u0435\u043d\u0430 \u0437\u0430 4o')[0].json.cost_usd;\nconst cost2 = $items('\u0426\u0435\u043d\u0430 \u0437\u0430 4.1nano')[0].json.cost_usd;\n\nconst totalCost = cost1 + cost2;\n\nreturn [{\n json: {\n cost_model_4o: cost1,\n cost_model_4_1nano: cost2,\n total_cost_usd: parseFloat(totalCost.toFixed(6)) // \u043e\u043a\u0440\u0443\u0433\u043b\u044f\u0435\u043c \u0434\u043e 6 \u0437\u043d\u0430\u043a\u043e\u0432\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
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704
],
"id": "a9ccf608-789d-44c2-b87c-d14e9f308f7e",
"name": "P_tokens"
},
{
"parameters": {
"chatId": "196267257",
"text": "=<b>{{ $('3. \u0410\u043d\u043e\u043d\u0441').first().json.choices[0].message.content }}</b>\n\n{{ $('4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438').first().json.choices[0].message.content }}\n\n\u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c \u043d\u043e\u0432\u043e\u0441\u0442\u0438: {{ $('P_tokens').first().json.total_cost_usd }} $\n\n\u041f\u043e\u0442\u043e\u043a: n8n:inoreader_AI->196267257",
"additionalFields": {
"appendAttribution": false,
"parse_mode": "HTML"
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
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704
],
"id": "f2d4e6b3-d38c-4827-aa0c-e98a64fb1074",
"name": "Telegram1",
"alwaysOutputData": false
},
{
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"jsCode": "// \u0428\u0430\u0433 1: \u0426\u0435\u043d\u0430 \u043e\u0434\u043d\u043e\u0433\u043e \u0442\u043e\u043a\u0435\u043d\u0430\nconst pricePerToken = 0.1 / 1_000_000;\n\n// \u0428\u0430\u0433 2: \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u0441\u0443\u043c\u043c\u0443 \u0442\u043e\u043a\u0435\u043d\u043e\u0432 \u0438\u0437 \u043d\u043e\u0434\u044b P_token4.1nano1\nconst promptTokens = $('P_token4.1nano1').item.json.P_Token_Sum;\n\n// \u0428\u0430\u0433 3: \u0421\u0447\u0438\u0442\u0430\u0435\u043c \u0441\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c\nconst cost = promptTokens * pricePerToken;\n\n// \u0428\u0430\u0433 4: \u0412\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\nreturn [{\n json: {\n prompt_tokens: promptTokens,\n price_per_token: pricePerToken,\n cost_usd: parseFloat(cost.toFixed(6)) // \u043e\u043a\u0440\u0443\u0433\u043b\u044f\u0435\u043c \u0434\u043e 6 \u0437\u043d\u0430\u043a\u043e\u0432\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
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704
],
"id": "fd0a1442-be53-4a7f-90d6-812bdc95de60",
"name": "\u0426\u0435\u043d\u0430 \u0437\u0430 4.1nano"
},
{
"parameters": {
"jsCode": "// \u0428\u0430\u0433 1: \u0426\u0435\u043d\u0430 \u043e\u0434\u043d\u043e\u0433\u043e \u0442\u043e\u043a\u0435\u043d\u0430\nconst pricePerToken = 2.5 / 1_000_000;\n\n// \u0428\u0430\u0433 2: \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0442\u043e\u043a\u0435\u043d\u043e\u0432 \u0438\u0437 \u043d\u0443\u0436\u043d\u043e\u0439 \u043d\u043e\u0434\u044b\nconst promptTokens = $('2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439').item.json.usage.prompt_tokens;\n\n// \u0428\u0430\u0433 3: \u0421\u0447\u0438\u0442\u0430\u0435\u043c: (promptTokens * 2.5) * pricePerToken\nconst cost = promptTokens * 2.5 * pricePerToken;\n\nreturn [{\n json: {\n prompt_tokens: promptTokens,\n price_per_token: pricePerToken,\n cost_usd: parseFloat(cost.toFixed(6)) // \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u0435 \u0434\u043e 6 \u0437\u043d\u0430\u043a\u043e\u0432\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
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704
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"id": "1c1c15d7-ede4-4aa7-abc4-3587f10bd044",
"name": "\u0426\u0435\u043d\u0430 \u0437\u0430 4o"
},
{
"parameters": {
"content": "\u041f\u043e\u043b\u0443\u0447\u0430\u0442\u0435\u043b\u044c - 196267257 - ",
"height": 97,
"width": 636,
"color": 7
},
"id": "81199d30-ef4c-457c-8f85-ae4a14f864af",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2720,
0
],
"typeVersion": 1
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "a066f822-074c-4f30-8c84-1d349c523f59",
"leftValue": "={{ $json.choices[0].message.content }}",
"rightValue": "aicontent",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
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160
],
"id": "b85784f4-152a-4d86-811a-afa818385244",
"name": "aicontent"
},
{
"parameters": {
"operation": "create",
"base": {
"__rl": true,
"value": "app5VGioZdapp729W",
"mode": "list",
"cachedResultName": "\u0410\u0433\u0435\u043d\u0442",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W"
},
"table": {
"__rl": true,
"value": "tblbWGPI4WUCdZBX8",
"mode": "list",
"cachedResultName": "Trinity_raw_Input_1",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W/tblbWGPI4WUCdZBX8"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Title": "={{ $('RSS_Feed_Trigger').item.json.title }}",
"Content": "={{ $('1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai').item.json.choices[0].message.content }}",
"Date": "={{ $('RSS_Feed_Trigger').item.json.pubDate }}",
"origin_URL": "={{ $('RSS_Feed_Trigger').item.json.link }}",
"Description": "={{ $('RSS_Feed_Trigger').item.json.contentSnippet }}",
"Feed": "={{ $json.domain }}",
"Tech": "n8n",
"my_ID": "={{ $json.guid }}"
},
"matchingColumns": [],
"schema": [
{
"id": "my_ID",
"displayName": "my_ID",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Quality",
"displayName": "Quality",
"required": false,
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"canBeUsedToMatch": true,
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{
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"type": "string",
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},
{
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"canBeUsedToMatch": true,
"display": true,
"type": "string",
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},
{
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"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "AI_expain",
"displayName": "AI_expain",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
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"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": false
},
{
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"canBeUsedToMatch": true,
"display": true,
"type": "string",
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{
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"type": "string",
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{
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"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Date",
"displayName": "Date",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
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"displayName": "Created",
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"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
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"displayName": "origin_URL",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Topics",
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"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Keywords",
"displayName": "Keywords",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "array",
"options": [],
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"typecast": true
}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
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"id": "9e0119dc-1033-4cb5-93a0-8c82ce5768d4",
"name": "Airtable"
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"feedUrl": "https://www.inoreader.com/stream/user/1004901627/tag/AI"
},
"type": "n8n-nodes-base.rssFeedReadTrigger",
"typeVersion": 1,
"position": [
-4192,
160
],
"id": "ea559493-aeb8-4a0a-b69d-97beb3cf8bfd",
"name": "RSS_Feed_Trigger",
"notesInFlow": false
},
{
"parameters": {
"resource": "assistant",
"assistantId": {
"__rl": true,
"value": "asst_RTPQWJGSBCxvaHQvzh5uxTNV",
"mode": "list",
"cachedResultName": "Feed_Filter"
},
"prompt": "define",
"text": "={{ $json.fields.Content }}",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.8,
"position": [
-944,
-192
],
"id": "760ac19a-fa87-4d4c-8158-0505b99cddd8",
"name": "4. \u0421\u0430\u043c\u043c\u0430\u0440\u04381",
"notesInFlow": true,
"notes": "4.1nano"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": false,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d72b0096-6bb1-4b96-8cbe-ed64a2af5881",
"leftValue": "={{ $json.output }}",
"rightValue": "Good",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {
"ignoreCase": true
}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
-304,
-384
],
"id": "d0eea4ab-ed9d-4250-8c34-f7b702584d0b",
"name": "Good"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": false,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d72b0096-6bb1-4b96-8cbe-ed64a2af5881",
"leftValue": "={{ $json.output }}",
"rightValue": "Bad",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {
"ignoreCase": true
}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
-304,
-80
],
"id": "bfbb21b9-1ce6-4091-a52e-38e67bbebb45",
"name": "Bad"
},
{
"parameters": {
"jsCode": "// Mode: Run Once for All Items\nconst feedItems = $items(\"RSS_Feed_Trigger\");\n\nreturn feedItems.map(({ json }) => {\n const raw = (json.link ?? \"\").trim();\n\n let domain = null;\n\n // \u2460 \u041f\u044b\u0442\u0430\u0435\u043c\u0441\u044f \u00ab\u043f\u043e-\u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u043c\u0443\u00bb\n try {\n domain = new URL(raw).hostname;\n } catch (_) {\n // \u2461 Fallback \u2192 \u0432\u044b\u0442\u0430\u0441\u043a\u0438\u0432\u0430\u0435\u043c \u0434\u043e\u043c\u0435\u043d RegExp-\u043e\u043c\n const m = raw.match(/https?:\\/\\/([^\\/\\s]+)/i);\n if (m) domain = m[1];\n }\n\n // \u0443\u0431\u0438\u0440\u0430\u0435\u043c www.\n if (domain) domain = domain.replace(/^www\\./, \"\");\n\n return { json: { ...json, domain } };\n});"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1904,
-192
],
"id": "5044d11d-dee4-4a51-ac51-ef22279b424b",
"name": "Take_domain",
"notesInFlow": true,
"notes": "\u0412\u044b\u0434\u0435\u043b\u044f\u0435\u0442 \u0434\u043e\u043c\u0435\u043d \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430"
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "app5VGioZdapp729W",
"mode": "list",
"cachedResultName": "\u0410\u0433\u0435\u043d\u0442",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W"
},
"table": {
"__rl": true,
"value": "tblbWGPI4WUCdZBX8",
"mode": "list",
"cachedResultName": "Trinity_raw_Input_1",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W/tblbWGPI4WUCdZBX8"
},
"filterByFormula": "={my_ID} = \"{{ $('Airtable').item.json.fields.my_ID }}\"",
"returnAll": false,
"limit": 1,
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
0,
-384
],
"id": "073919a9-f1c8-4d93-bfea-e440698c88cc",
"name": "SearchGood"
},
{
"parameters": {
"operation": "update",
"base": {
"__rl": true,
"value": "app5VGioZdapp729W",
"mode": "list",
"cachedResultName": "\u0410\u0433\u0435\u043d\u0442",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W"
},
"table": {
"__rl": true,
"value": "tblbWGPI4WUCdZBX8",
"mode": "list",
"cachedResultName": "Trinity_raw_Input_1",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W/tblbWGPI4WUCdZBX8"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"AI-eval": "Bad",
"AI_expain": "={{ $('4. \u0421\u0430\u043c\u043c\u0430\u0440\u04381').item.json.output }}",
"my_ID": "={{ $json.my_ID }}"
},
"matchingColumns": [
"my_ID"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "my_ID",
"displayName": "my_ID",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Quality",
"displayName": "Quality",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Feed",
"displayName": "Feed",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "AI-eval",
"displayName": "AI-eval",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Tech",
"displayName": "Tech",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "AI_expain",
"displayName": "AI_expain",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Last Modified",
"displayName": "Last Modified",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "Title",
"displayName": "Title",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Content",
"displayName": "Content",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Description",
"displayName": "Description",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Date",
"displayName": "Date",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Created",
"displayName": "Created",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "origin_URL",
"displayName": "origin_URL",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Topics",
"displayName": "Topics",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Keywords",
"displayName": "Keywords",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "array",
"options": [],
"readOnly": false,
"removed": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"typecast": false
}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
288,
-384
],
"id": "12a6ab25-fac6-40f8-9cca-a3740400d278",
"name": "UpdateGood"
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "app5VGioZdapp729W",
"mode": "list",
"cachedResultName": "\u0410\u0433\u0435\u043d\u0442",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W"
},
"table": {
"__rl": true,
"value": "tblbWGPI4WUCdZBX8",
"mode": "list",
"cachedResultName": "Trinity_raw_Input_1",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W/tblbWGPI4WUCdZBX8"
},
"filterByFormula": "={my_ID} = \"{{ $('Airtable').item.json.fields.my_ID }}\"",
"returnAll": false,
"limit": 1,
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
-32,
-80
],
"id": "aacdff84-eff4-4cf2-87c4-d4b3c844354f",
"name": "SearchBad"
},
{
"parameters": {
"operation": "update",
"base": {
"__rl": true,
"value": "app5VGioZdapp729W",
"mode": "list",
"cachedResultName": "\u0410\u0433\u0435\u043d\u0442",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W"
},
"table": {
"__rl": true,
"value": "tblbWGPI4WUCdZBX8",
"mode": "list",
"cachedResultName": "Trinity_raw_Input_1",
"cachedResultUrl": "https://airtable.com/app5VGioZdapp729W/tblbWGPI4WUCdZBX8"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"AI-eval": "Bad",
"AI_expain": "={{ $('4. \u0421\u0430\u043c\u043c\u0430\u0440\u04381').item.json.output }}",
"my_ID": "={{ $json.my_ID }}"
},
"matchingColumns": [
"my_ID"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "my_ID",
"displayName": "my_ID",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Quality",
"displayName": "Quality",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Feed",
"displayName": "Feed",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "AI-eval",
"displayName": "AI-eval",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Tech",
"displayName": "Tech",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "AI_expain",
"displayName": "AI_expain",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Last Modified",
"displayName": "Last Modified",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "Title",
"displayName": "Title",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Content",
"displayName": "Content",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Description",
"displayName": "Description",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Date",
"displayName": "Date",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Created",
"displayName": "Created",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "origin_URL",
"displayName": "origin_URL",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Topics",
"displayName": "Topics",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": true
},
{
"id": "Keywords",
"displayName": "Keywords",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "array",
"options": [],
"readOnly": false,
"removed": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"typecast": false
}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
288,
-80
],
"id": "d9f8512e-88d0-4a31-b9f0-3365d2595786",
"name": "UpdateBad"
}
],
"connections": {
"HTTP Request": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
]
]
},
"HTML": {
"main": [
[
{
"node": "1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai",
"type": "main",
"index": 0
}
]
]
},
"\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0442\u043e\u043a\u0435\u043d\u0430": {
"main": [
[
{
"node": "\u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f telegra.ph",
"type": "main",
"index": 0
}
]
]
},
"\u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f telegra.ph": {
"main": [
[
{
"node": "P_token4.1nano1",
"type": "main",
"index": 0
}
]
]
},
"\u0420\u0430\u0437\u0431\u0438\u0432\u0430\u0435\u0442 \u0442\u0435\u043a\u0441\u0442": {
"main": [
[
{
"node": "\u0424\u043e\u0440\u043c\u0430\u0442 telegra.ph",
"type": "main",
"index": 0
}
]
]
},
"\u0424\u043e\u0440\u043c\u0430\u0442 telegra.ph": {
"main": [
[
{
"node": "\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0442\u043e\u043a\u0435\u043d\u0430",
"type": "main",
"index": 0
}
]
]
},
"1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai": {
"main": [
[
{
"node": "aicontent",
"type": "main",
"index": 0
},
{
"node": "Take_domain",
"type": "main",
"index": 0
}
]
]
},
"2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439": {
"main": [
[
{
"node": "3. \u0410\u043d\u043e\u043d\u0441",
"type": "main",
"index": 0
}
]
]
},
"3. \u0410\u043d\u043e\u043d\u0441": {
"main": [
[
{
"node": "4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438",
"type": "main",
"index": 0
}
]
]
},
"4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438": {
"main": [
[
{
"node": "\u0420\u0430\u0437\u0431\u0438\u0432\u0430\u0435\u0442 \u0442\u0435\u043a\u0441\u0442",
"type": "main",
"index": 0
}
]
]
},
"P_token4.1nano1": {
"main": [
[
{
"node": "\u0426\u0435\u043d\u0430 \u0437\u0430 4o",
"type": "main",
"index": 0
}
]
]
},
"P_tokens": {
"main": [
[
{
"node": "Telegram1",
"type": "main",
"index": 0
}
]
]
},
"\u0426\u0435\u043d\u0430 \u0437\u0430 4.1nano": {
"main": [
[
{
"node": "P_tokens",
"type": "main",
"index": 0
}
]
]
},
"\u0426\u0435\u043d\u0430 \u0437\u0430 4o": {
"main": [
[
{
"node": "\u0426\u0435\u043d\u0430 \u0437\u0430 4.1nano",
"type": "main",
"index": 0
}
]
]
},
"aicontent": {
"main": [
[
{
"node": "2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439",
"type": "main",
"index": 0
}
]
]
},
"RSS_Feed_Trigger": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"Airtable": {
"main": [
[
{
"node": "4. \u0421\u0430\u043c\u043c\u0430\u0440\u04381",
"type": "main",
"index": 0
}
]
]
},
"4. \u0421\u0430\u043c\u043c\u0430\u0440\u04381": {
"main": [
[
{
"node": "Good",
"type": "main",
"index": 0
},
{
"node": "Bad",
"type": "main",
"index": 0
}
]
]
},
"Good": {
"main": [
[
{
"node": "SearchGood",
"type": "main",
"index": 0
}
]
]
},
"Bad": {
"main": [
[
{
"node": "SearchBad",
"type": "main",
"index": 0
}
]
]
},
"Take_domain": {
"main": [
[
{
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About this workflow
inoreader_AI->196267257. Uses httpRequest, openAi, telegram, airtable. Event-driven trigger; 28 nodes.
Source: https://github.com/AI-agents-incubator/n8n-pilot/blob/bae9c329f6c9ae45524dbc5899444f847ac283d5/example/inoreader_AI-_196267257.json — original creator credit. Request a take-down →
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Build a Telegram bot that helps users find AliExpress products using natural language requests. The bot uses OpenAI to optimize search queries, Decodo to scrape product listings, and AI analysis to se
Telegram Trigger, OpenAI, Telegram +3