{ "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" }, { "content": "={{ $json.Content }}" } ] }, "simplify": false, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -2592, 160 ], "id": "13caf06f-a087-4a1b-ae6f-86f9369d4087", "name": "1. \u041c\u0443\u0441\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 noai", "notesInFlow": true, "notes": "4.1nano" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "GPT-4O" }, "messages": { "values": [ { "content": "=1. \u041f\u0435\u0440\u0435\u0432\u0435\u0434\u0438 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0442\u043e\u0447\u043d\u043e, \u0432 \u0441\u0430\u0440\u043a\u0430\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u043c \u0441\u0442\u0438\u043b\u0435, \u0432\u044b\u0441\u043c\u0435\u0438\u0432\u0430\u044f \u0438 \u0432\u044b\u0440\u0430\u0436\u0430\u044f \u0441\u043e\u043c\u043d\u0435\u043d\u0438\u0435. \n\n2. \u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e\u0431 \u0430\u0432\u0442\u043e\u0440\u0435 \u043f\u0435\u0440\u0435\u0432\u0435\u0434\u0438 \u0432 \u0432\u0438\u0434\u0435 \u043a\u043e\u0440\u043e\u0442\u043a\u043e\u0433\u043e \u0441\u0430\u043c\u043c\u0430\u0440\u0438 \u0438 \u043f\u043e\u0441\u0442\u0430\u0432\u044c \u041f\u041e\u0421\u041b\u0415 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430. \n\n3. \u041e\u0442 \u0441\u0435\u0431\u044f \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0439.\n\n\u041f\u043e\u0441\u043b\u0435 \u0441\u0442\u0430\u0442\u044c\u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0439 \u0444\u0440\u0430\u0437\u0443 \"\u0421\u0442\u0430\u0442\u044c\u044f \u0442\u0432\u043e\u0440\u0447\u0435\u0441\u043a\u0438 \u043f\u0435\u0440\u0435\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u0430 \u0422\u0440\u0438\u043d\u0438\u0442\u0438 AI\",\\n\\n \"\u0418\u0441\u0442\u043e\u0447\u043d\u0438\u043a: {{ $('RSS_Feed_Trigger').item.json.link }}\"", "role": "system" }, { "content": "={{ $json.choices[0].message.content }}" } ] }, "simplify": false, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -2864, 416 ], "id": "047863db-93c4-4ab8-8838-d8a2e28d2e93", "name": "2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439", "notesInFlow": true, "notes": "4o" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4.1-nano", "mode": "list", "cachedResultName": "GPT-4.1-NANO" }, "messages": { "values": [ { "content": "\u0421\u043e\u0437\u0434\u0430\u0439 \u043d\u0430 \u0431\u0430\u0437\u0435 \u0442\u0435\u043a\u0441\u0442\u0430 \u0430\u043d\u043e\u043d\u0441 \u0441 \u0444\u043e\u043a\u0443\u0441\u043e\u043c \u043d\u0430 \u043d\u043e\u0432\u044b\u0445 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0435\u0438. \u0420\u0430\u0437\u043c\u0435\u0440 \u0430\u043d\u043e\u043d\u0441\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e 100 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 \u0438\u043b\u0438 20-25 \u0441\u043b\u043e\u0432.", "role": "system" }, { "content": "={{ $json.choices[0].message.content }}" } ] }, "simplify": false, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -2480, 416 ], "id": "08b0bd1e-0a7d-4444-9068-8f62c941b02f", "name": "3. \u0410\u043d\u043e\u043d\u0441", "notesInFlow": true, "notes": "4.1nano" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4.1-nano", "mode": "list", "cachedResultName": "GPT-4.1-NANO" }, "messages": { "values": [ { "content": "\u0421\u043e\u0437\u0434\u0430\u0439 \u0440\u0430\u0437\u0432\u0435\u0440\u043d\u0443\u0442\u043e\u0435 \u0441\u0430\u043c\u043c\u0430\u0440\u0438 \u0442\u0435\u043a\u0441\u0442\u0430 User \u043e\u0431\u044a\u0435\u043c\u043e\u043c \u043d\u0435 \u0431\u043e\u043b\u0435\u0435 500 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432.", "role": "system" }, { "content": "={{ $('2. \u041f\u0435\u0440\u0435\u0432\u043e\u0434 \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439').item.json.choices[0].message.content }}" } ] }, "simplify": false, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -1888, 416 ], "id": "6a763d60-67ca-4e4f-9aad-ca58524d49b8", "name": "4. \u0421\u0430\u043c\u043c\u0430\u0440\u0438", "notesInFlow": true, "notes": "4.1nano" }, { "parameters": { "assignments": { "assignments": [ { "id": "bca4b381-da25-470e-b2c4-0b4167b3c9d4", "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" }, { "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" }, { "id": "29334311-3686-4c4b-aee0-bd69bcb33265", "name": "P_Token_Sum", "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" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -2208, 704 ], "id": "09e627b7-e0b0-4d60-93c7-7c862a063dc9", "name": "P_token4.1nano1" }, { "parameters": { "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": [ -1104, 704 ], "id": "a9ccf608-789d-44c2-b87c-d14e9f308f7e", "name": "P_tokens" }, { "parameters": { "chatId": "196267257", "text": "={{ $('3. \u0410\u043d\u043e\u043d\u0441').first().json.choices[0].message.content }}\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": [ -880, 704 ], "id": "f2d4e6b3-d38c-4827-aa0c-e98a64fb1074", "name": "Telegram1", "alwaysOutputData": false }, { "parameters": { "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": [ -1424, 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": [ -1744, 704 ], "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": [ -1232, 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, "defaultMatch": false, "canBeUsedToMatch": true, "display": true, "type": "string", "readOnly": false, "removed": false }, { "id": "Feed", "displayName": "Feed", "required": false, "defaultMatch": false, "canBeUsedToMatch": true, "display": true, "type": "string", "readOnly": false, "removed": false }, { "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": false }, { "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": false }, { "id": "Title", "displayName": "Title", "required": false, "defaultMatch": false, "canBeUsedToMatch": true, "display": true, "type": "string", "readOnly": false, "removed": false }, { "id": "Content", "displayName": "Content", "required": false, "defaultMatch": false, "canBeUsedToMatch": true, "display": true, "type": "string", "readOnly": false, "removed": false }, { "id": "Description", "displayName": "Description", "required": false, "defaultMatch": false, "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 }, { "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": false }, { "id": "Topics", "displayName": "Topics", "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": [ -1200, -192 ], "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": [ [ { "node": "Airtable", "type": "main", "index": 0 } ] ] }, "SearchGood": { "main": [ [ { "node": "UpdateGood", "type": "main", "index": 0 } ] ] }, "SearchBad": { "main": [ [ { "node": "UpdateBad", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "59e4631f-e43c-470c-8f12-76da81905ebb", "id": "pVCvWLEzsTYetui6", "tags": [] }