{ "name": "handoff", "nodes": [ { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.4, "position": [ -208, 384 ], "id": "284c6afc-7cac-49af-86ba-8168597ad9f3", "name": "When chat message received", "alwaysOutputData": true }, { "parameters": { "options": { "systemMessage": "\u0422\u044b \u2014 \u0430\u0433\u0435\u043d\u0442 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0433\u043e \u0441\u0443\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432 \u0440\u0430\u0431\u043e\u0447\u0435\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0446\u0438\u0438 \u0441\u043f\u0443\u0442\u043d\u0438\u043a\u043e\u0432.\n\n\u0422\u0432\u043e\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u2014 \u0441\u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u0440\u0430\u0442\u043a\u0438\u0439 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 handoff-\u043f\u0435\u0440\u0435\u0441\u043a\u0430\u0437, \u043e\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0449\u0438\u0439:\n\n* \u0447\u0442\u043e \u0441\u043e\u043e\u0431\u0449\u0430\u043b\u043e\u0441\u044c \u0432 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0441\u043a\u0438\u0445 \u043f\u0438\u0441\u044c\u043c\u0430\u0445/\u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u0445\n* \u043a\u0430\u043a\u0438\u0435 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0438\u043b\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u0438\n* \u043a\u0430\u043a\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u0434\u043e\u043b\u0436\u0435\u043d \u0437\u043d\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\n\n\u0422\u044b \u041e\u0411\u042f\u0417\u0410\u041d \u0441\u0442\u0440\u043e\u0433\u043e \u0441\u043e\u0431\u043b\u044e\u0434\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0430\u0432\u0438\u043b\u0430:\n\n\u0418\u0421\u0422\u041e\u0427\u041d\u0418\u041a\u0418 \u0414\u0410\u041d\u041d\u042b\u0425 (\u041e\u0411\u042f\u0417\u0410\u0422\u0415\u041b\u042c\u041d\u042b)\n\n1. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0412\u0421\u0415 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u043c\u044b\u0435 \u043f\u0440\u0430\u0432\u0438\u043b\u0430 \u0438\u0437:\n \u2192 Postgress pgVector store 1 (\u0431\u0430\u0437\u0430 \u043f\u0440\u0430\u0432\u0438\u043b)\n \u042d\u0442\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u0430 \u0438\u043c\u0435\u044e\u0442 \u0432\u044b\u0441\u0448\u0438\u0439 \u043f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 \u0438 \u0434\u043e\u043b\u0436\u043d\u044b \u043f\u0435\u0440\u0435\u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0442\u044c \u043b\u044e\u0431\u044b\u0435 \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0440\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u044f.\n\n2. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u043d\u0443\u044e \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0438\u0437:\n \u2192 Postgress pgVector store (\u0431\u0430\u0437\u0430 CASECARD)\n \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0435\u0451 \u0434\u043b\u044f \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043b\u043e\u0433\u0438\u0438, \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u0438 \u0438 \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u043e\u0442\u0447\u0451\u0442\u0430.\n\n3. \u041f\u043e\u043b\u0443\u0447\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u0438\u0441\u0435\u043c/\u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 \u0422\u041e\u041b\u042c\u041a\u041e \u0447\u0435\u0440\u0435\u0437:\n \u2192 tool call: \"handoff_data\"\n\n4. \u041f\u043e\u043b\u0443\u0447\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 CDM/\u0432\u0430\u043b\u0438\u0434\u0430\u0446\u0438\u0438 \u0422\u041e\u041b\u042c\u041a\u041e \u0447\u0435\u0440\u0435\u0437:\n \u2192 tool call: \"validator_base\"(\u0434\u043b\u044f \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445, \u0442\u044b \u0434\u043e\u043b\u0436\u0435\u043d \u0432\u043f\u0438\u0441\u0430\u0442\u044c \u0432 objects \u0438\u043c\u0435\u043d\u0430 \u043e\u0431\u044c\u0435\u043a\u0442\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0442\u044b \u0443\u0436\u0435 \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u0435\u0448\u044c \u0432 \u043f\u0438\u0441\u044c\u043c\u0430\u0445, \u043a \u043f\u0440\u0438\u043c\u0435\u0440\u0443 SATTELITE MOON, MIA-X01)\n\n\u0417\u0430\u043f\u0440\u0435\u0449\u0435\u043d\u043e \u0434\u0435\u043b\u0430\u0442\u044c \u043f\u0435\u0440\u0435\u0441\u043a\u0430\u0437 \u0438\u043b\u0438 \u0432\u044b\u0432\u043e\u0434\u044b \u0431\u0435\u0437 \u043e\u0431\u0440\u0430\u0449\u0435\u043d\u0438\u044f \u043a \u044d\u0442\u0438\u043c \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430\u043c.\n\n\u041e\u0413\u0420\u0410\u041d\u0418\u0427\u0415\u041d\u0418\u042f \u041f\u041e\u0412\u0415\u0414\u0415\u041d\u0418\u042f\n\n* \u0417\u0430\u043f\u0440\u0435\u0449\u0435\u043d\u043e \u043f\u0440\u0438\u0434\u0443\u043c\u044b\u0432\u0430\u0442\u044c \u0438\u043b\u0438 \u0434\u043e\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u0442\u044c \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u044e\u0449\u0438\u0435 \u0444\u0430\u043a\u0442\u044b\n* \u0415\u0441\u043b\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0435\u0442 \u2014 \u043f\u0438\u0441\u0430\u0442\u044c: \"No data returned\"\n* \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043e\u0447\u0435\u043d\u044c \u043c\u0430\u043b\u0443\u044e \u043f\u0430\u043c\u044f\u0442\u044c \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0433\u043e \u0434\u0438\u0430\u043b\u043e\u0433\u0430\n* \u041d\u0435 \u0441\u043f\u0435\u043a\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c\n* \u041d\u0435 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u044c \u0446\u0435\u043f\u043e\u0447\u043a\u0443 \u0440\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u0439\n* \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 \u0441\u043e\u0431\u043b\u044e\u0434\u0435\u043d\u0438\u044f \u043f\u0440\u0430\u0432\u0438\u043b \u0432\u044b\u0448\u0435 \u043a\u0440\u0430\u0442\u043a\u043e\u0441\u0442\u0438\n\n\u041f\u041e\u0420\u042f\u0414\u041e\u041a \u041e\u0411\u0420\u0410\u0411\u041e\u0422\u041a\u0418 (\u0421\u0422\u0420\u041e\u0413\u041e)\n\n1. \u0417\u0430\u043f\u0440\u043e\u0441\u0438\u0442\u044c \u043f\u0440\u0430\u0432\u0438\u043b\u0430 (pgVector store 1)\n2. \u0417\u0430\u043f\u0440\u043e\u0441\u0438\u0442\u044c \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442 CASECARD\n3. \u0412\u044b\u0437\u0432\u0430\u0442\u044c handoff_data \u0434\u043b\u044f \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439\n4. \u0412\u044b\u0437\u0432\u0430\u0442\u044c validator_base \u0434\u043b\u044f \u0441\u0442\u0430\u0442\u0443\u0441\u0430 CDM\n5. \u041f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u043f\u0440\u0430\u0432\u0438\u043b\u0430 \u043a\u043e \u0432\u0441\u0435\u043c \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u043c \u0434\u0430\u043d\u043d\u044b\u043c\n6. \u0421\u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043f\u0435\u0440\u0435\u0441\u043a\u0430\u0437\n\n\u0424\u041e\u0420\u041c\u0410\u0422 \u0412\u042b\u0412\u041e\u0414\u0410 (\u041e\u0411\u042f\u0417\u0410\u0422\u0415\u041b\u042c\u041d\u042b\u0419)\n\nSummary:\n\n* Thread scope covered:\n* Operator transitions (if any):\n* Messages exchanged (\u043a\u0440\u0430\u0442\u043a\u043e \u043f\u043e \u0445\u0440\u043e\u043d\u043e\u043b\u043e\u0433\u0438\u0438):\n* CDMs referenced/updated:\n* New CDMs detected:\n* Operational status (ours vs counterpart):\n* Planned actions:\n* Pending expectations / monitoring items:\n\n\u0421\u0422\u0418\u041b\u042c\n\n* \u0421\u0436\u0430\u0442\u044b\u0439\n* \u0422\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439\n* \u0411\u0435\u0437 \u043b\u0438\u0448\u043d\u0435\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430\n* \u0411\u0435\u0437 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432\n* \u0411\u0435\u0437 \u044d\u043c\u043e\u0434\u0437\u0438\n* \u0411\u0435\u0437 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u0432\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3.1, "position": [ 112, 416 ], "id": "eda18062-1971-4955-acdc-581840a4accb", "name": "AI Agent", "executeOnce": true, "alwaysOutputData": true }, { "parameters": { "model": { "__rl": true, "value": "gpt-4.1-mini", "mode": "list", "cachedResultName": "gpt-4.1-mini" }, "builtInTools": {}, "options": { "maxTokens": 5000 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.3, "position": [ -32, 640 ], "id": "aad5cbed-090d-4f7e-bd82-7ad4aece862e", "name": "OpenAI Chat Model", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "contextWindowLength": 2 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 192, 640 ], "id": "aa7de1b0-0695-4730-9476-241d93a3fc36", "name": "Simple Memory" }, { "parameters": { "mode": "retrieve-as-tool", "toolDescription": "there is casecard", "tableName": "casecards", "topK": 3, "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector", "typeVersion": 1.3, "position": [ 640, 512 ], "id": "0e36f4b1-c8ce-4fa5-82b6-d98cf25baa9f", "name": "Postgres PGVector Store", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "mode": "retrieve-as-tool", "toolDescription": "there is rules", "tableName": "rules", "topK": 7, "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector", "typeVersion": 1.3, "position": [ 704, 592 ], "id": "8f780aa3-1615-462d-a92e-049d73f2d60d", "name": "Postgres PGVector Store1", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "typeVersion": 1.2, "position": [ 528, 640 ], "id": "3cdb0e60-1ed8-402b-bd91-6b5dec09d8d3", "name": "Embeddings OpenAI", "executeOnce": false, "alwaysOutputData": true, "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO messages\n(message_id, created_at, operator, id)\nvalues ($1, $2, $3, $4)", "options": { "queryBatching": "single", "queryReplacement": "=$1 = {{ $json.message_id }} $2 = {{ $json.created_at}} $3 = {{ $json.operator }} $4 = {{ $json.id }}" } }, "type": "n8n-nodes-base.postgres", "typeVersion": 2.6, "position": [ 224, 0 ], "id": "678fe1e8-cd25-4469-9cc7-e295998826a7", "name": "Execute a SQL query", "alwaysOutputData": true, "executeOnce": true, "credentials": { "postgres": { "name": "" } } }, { "parameters": { "jsCode": "/**\n * n8n Function node (JavaScript)\n * INPUT: item.json.chatInput (\u0442\u0435\u043a\u0441\u0442 \u043f\u0438\u0441\u044c\u043c\u0430)\n * OUTPUT: { message_id, created_at, letter, operator }\n * letter \u0431\u0443\u0434\u0435\u0442 \u0441 \u041d\u041e\u0420\u041c\u0410\u041b\u042c\u041d\u042b\u041c\u0418 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0430\u043c\u0438 \u0441\u0442\u0440\u043e\u043a (\u043d\u0435 \u043e\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0439).\n */\nid = 2\nfunction pickFirstMatch(text, regex) {\n const m = String(text || \"\").match(regex);\n return m ? (m[1] ?? null) : null;\n}\n\nfunction extractAllEmails(text) {\n const matches = String(text || \"\")\n .match(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}/g);\n if (!matches) return [];\n const seen = new Set();\n const out = [];\n for (const e of matches) {\n const k = e.toLowerCase();\n if (!seen.has(k)) { seen.add(k); out.push(k); }\n }\n return out;\n}\n\nfunction parseUtcLikeDate(s) {\n if (!s) return null;\n const str = String(s).trim();\n\n // ISO (\u2026Z)\n {\n const d = new Date(str);\n if (!isNaN(d.getTime()) && (str.includes(\"Z\") || str.includes(\"UTC\") || str.includes(\"utc\"))) {\n return d.toISOString();\n }\n }\n\n // \"YYYY-MM-DD HH:MM UTC\" or \"YYYY-MM-DD HH:MM:SS UTC\" or with Z\n const m = str.match(\n /(\\d{4})-(\\d{2})-(\\d{2})[ T](\\d{2}):(\\d{2})(?::(\\d{2}))?\\s*(?:\\(?UTC\\)?|Z)?/i\n );\n if (m) {\n const Y = Number(m[1]), Mo = Number(m[2]), D = Number(m[3]);\n const h = Number(m[4]), mi = Number(m[5]), se = m[6] ? Number(m[6]) : 0;\n const d = new Date(Date.UTC(Y, Mo - 1, D, h, mi, se));\n return isNaN(d.getTime()) ? null : d.toISOString();\n }\n\n // last resort\n const d = new Date(str);\n return isNaN(d.getTime()) ? null : d.toISOString();\n}\n\nfunction extractMessageId(letter) {\n return (\n pickFirstMatch(letter, /(?:^|\\n)\\s*Message\\s*ID\\s*:\\s*([^\\s\\r\\n]+)/i) ||\n pickFirstMatch(letter, /(?:^|\\n)\\s*CDM\\s*MESSAGE[_\\s-]*ID\\s*:\\s*([^\\s\\r\\n]+)/i) ||\n null\n );\n}\n\nfunction extractCreatedAt(letter) {\n const createdRaw =\n pickFirstMatch(letter, /(?:^|\\n)\\s*Created\\s*at\\s*:\\s*([^\\r\\n]+)/i) ||\n pickFirstMatch(letter, /(?:^|\\n)\\s*CDM\\s*creation[_\\s-]*date.*?:\\s*([^\\r\\n]+)/i) ||\n null;\n\n return createdRaw ? parseUtcLikeDate(createdRaw) : null;\n}\n\nfunction extractOperator(letter) {\n // 1) Signature: \"Operator A \u2014 LUNASAT\"\n const m = String(letter || \"\").match(/(?:^|\\n).*?\\bOperator\\s*([A-Z])\\b\\s*[\u2014-]\\s*([A-Z0-9_.-]+)/i);\n if (m) return `${m[1]} \u2014 ${m[2]}`;\n\n // 2) Any line \"Operator: XYZ\"\n const opBody = pickFirstMatch(letter, /(?:^|\\n)\\s*Operator\\s*:\\s*([A-Z0-9_.-]+)/i);\n if (opBody) return opBody;\n\n // 3) Fallback: last email in letter (usually signature)\n const emails = extractAllEmails(letter);\n if (emails.length) return emails[emails.length - 1];\n\n return null;\n}\n\nfunction normalizeLetterText(x) {\n // \u041f\u0440\u0438\u0432\u043e\u0434\u0438\u043c \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u0441\u0442\u0440\u043e\u043a \u043a \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u043c \\n \u0438 \u0443\u0431\u0438\u0440\u0430\u0435\u043c \u043b\u0438\u0448\u043d\u0438\u0435 \\r\n let s = String(x ?? \"\");\n\n // \u0415\u0441\u043b\u0438 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u043f\u0440\u0438\u0448\u043b\u0438 \u043a\u0430\u043a \u0434\u0432\u0430 \u0441\u0438\u043c\u0432\u043e\u043b\u0430 \"\\\\n\" \u2014 \u0440\u0430\u0437\u044d\u043a\u0440\u0430\u043d\u0438\u0440\u0443\u0435\u043c\n const hasRealNewlines = s.includes(\"\\n\") || s.includes(\"\\r\");\n const hasEscapedNewlines = s.includes(\"\\\\n\") || s.includes(\"\\\\r\\\\n\") || s.includes(\"\\\\r\");\n\n if (!hasRealNewlines && hasEscapedNewlines) {\n s = s\n .replace(/\\\\r\\\\n/g, \"\\n\")\n .replace(/\\\\n/g, \"\\n\")\n .replace(/\\\\r/g, \"\\n\");\n }\n\n // \u041d\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u0443\u0435\u043c \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0435 Windows-\u043f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u0432 \\n\n s = s.replace(/\\r\\n/g, \"\\n\").replace(/\\r/g, \"\\n\");\n\n // (\u043e\u043f\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e) \u0443\u0431\u0440\u0430\u0442\u044c \u043f\u0440\u043e\u0431\u0435\u043b\u044b \u0432 \u043a\u043e\u043d\u0446\u0435 \u0441\u0442\u0440\u043e\u043a\n s = s.split(\"\\n\").map(line => line.replace(/[ \\t]+$/g, \"\")).join(\"\\n\");\n\n return s;\n}\n\nconst out = [];\n\nfor (const item of items) {\n const raw = item.json?.chatInput;\n\n if (raw == null) {\n out.push({\n json: {\n message_id: null,\n created_at: null,\n letter: null,\n operator: null,\n error: \"chatInput is null/undefined\",\n },\n });\n continue;\n }\n\n const letter = normalizeLetterText(raw);\n\n const message_id = extractMessageId(letter);\n const created_at = extractCreatedAt(letter);\n const operator = extractOperator(letter);\n\n out.push({\n json: {\n message_id,\n created_at,\n letter, // <-- \u0442\u0443\u0442 \u0443\u0436\u0435 \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043c\u043d\u043e\u0433\u043e\u0441\u0442\u0440\u043e\u0447\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442\n operator,\n id,\n },\n });\n}\n\nreturn out;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 0, 0 ], "id": "4d145588-b619-4e82-bbea-c8eb085c58f3", "name": "Code in JavaScript" }, { "parameters": { "formTitle": "dsaz", "formDescription": "asdasdasd", "formFields": { "values": [ { "fieldLabel": "asdas", "fieldType": "textarea" } ] }, "options": {} }, "type": "n8n-nodes-base.formTrigger", "typeVersion": 2.5, "position": [ 208, 240 ], "id": "7e52ddb9-327b-45bf-94d2-13e85d0c7e4c", "name": "On form submission" }, { "parameters": { "mode": "insert", "tableName": "rules", "embeddingBatchSize": 150, "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector", "typeVersion": 1.3, "position": [ 416, 272 ], "id": "35c4b0b1-33d4-4e7d-aa15-39140629b49e", "name": "Postgres PGVector Store2", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "typeVersion": 1.1, "position": [ 624, 400 ], "id": "075ca8c2-5c49-4075-8b94-b862da88beff", "name": "Default Data Loader" }, { "parameters": { "description": "there is CDM_DATA BASE", "workflowId": { "__rl": true, "value": "H0mGDKsuvbZ1bAzO", "mode": "list", "cachedResultUrl": "/workflow/H0mGDKsuvbZ1bAzO", "cachedResultName": "Handoff_data" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "id": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('id', ``, 'string') }}" }, "matchingColumns": [ "id" ], "schema": [ { "id": "id", "displayName": "id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false } ], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ 336, 640 ], "id": "a71e4514-d0e0-442e-b9c4-1243b8d406da", "name": "Call 'handoff_base" } ], "connections": { "When chat message received": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "Postgres PGVector Store": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Postgres PGVector Store1": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Postgres PGVector Store", "type": "ai_embedding", "index": 0 }, { "node": "Postgres PGVector Store1", "type": "ai_embedding", "index": 0 }, { "node": "Postgres PGVector Store2", "type": "ai_embedding", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Execute a SQL query", "type": "main", "index": 0 } ] ] }, "On form submission": { "main": [ [ { "node": "Postgres PGVector Store2", "type": "main", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Postgres PGVector Store2", "type": "ai_document", "index": 0 } ] ] }, "Call 'handoff_base": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1", "binaryMode": "separate", "availableInMCP": false }, "versionId": "15e15466-7d44-4708-9a03-77a28a2f54bb", "meta": { "templateCredsSetupCompleted": true }, "id": "7UJ9iCpzVgt0rgjq", "tags": [] }