{ "name": "My workflow 2", "nodes": [ { "parameters": { "jsCode": "// Get input\nconst data = $input.item.json || {};\n\n// Normalize values\nfunction normalize(v) {\n if (v === null || v === undefined) return \"\";\n const s = String(v).trim();\n if (s === \"\") return \"\";\n const lower = s.toLowerCase();\n if ([\"empty\", \"null\", \"undefined\"].includes(lower)) return \"\";\n return s;\n}\n\n// Robust search with trimming and aliases\nfunction findValue(root, keyExact, aliases = []) {\n const lowerKey = keyExact.trim().toLowerCase();\n\n // Search root keys\n for (const k of Object.keys(root)) {\n if (k.trim().toLowerCase() === lowerKey) return root[k];\n }\n\n // Search in grades if exists\n if (root.grades) {\n for (const k of Object.keys(root.grades)) {\n if (k.trim().toLowerCase() === lowerKey) return root.grades[k];\n }\n }\n\n // Search aliases\n for (const alias of aliases) {\n const a = alias.trim().toLowerCase();\n for (const k of Object.keys(root)) {\n if (k.trim().toLowerCase().includes(a)) return root[k];\n }\n if (root.grades) {\n for (const k of Object.keys(root.grades)) {\n if (k.trim().toLowerCase().includes(a)) return root.grades[k];\n }\n }\n }\n\n return undefined;\n}\n\n// === Grades ===\nconst rawMath = findValue(data, \"MATH\", [\"math\"]);\nconst rawPhysics = findValue(data, \"PHYSICS\", [\"physic\", \"pc\"]);\nconst rawScience = findValue(data, \"SCIENCE\", [\"sci\", \"svt\", \"bio\"]);\nconst rawEnglish = findValue(data, \"ENGLISH\", [\"eng\", \"anglais\"]);\nconst rawOtherLang = findValue(data, \"OTHER Language\", [\"other language\", \"lang\", \"language\"]);\n\n// === Grade system ===\nconst gradeSystem =\n data[\"GRADE SYSTEM\"] ?? data[\"Grade System\"] ?? data.gradeSystem ?? \"\";\n\n// === Hobbies ===\nlet hobbies = data.hobbies ?? data[\"HOBBYS ( optional )\"] ?? data.hobby ?? data.Hobby ?? [];\nif (!Array.isArray(hobbies)) hobbies = normalize(hobbies) ? [normalize(hobbies)] : [];\n\n// === Accomplishments ===\nlet accomplishments =\n data.accomplishments ?? data[\"Accomplishements ( MUNS - HACKATHONS .... ) ( optional )\"] ?? data.achievements ?? [];\nif (!Array.isArray(accomplishments)) accomplishments = normalize(accomplishments) ? [normalize(accomplishments)] : [];\n\n// === COUNTRY (uppercase key) ===\nconst COUNTRY = normalize(findValue(data, \"COUNTRY\"));\n\n// === Student output ===\nconst student = {\n gradeSystem,\n grades: {\n math: normalize(rawMath),\n physics: normalize(rawPhysics),\n science: normalize(rawScience),\n english: normalize(rawEnglish),\n otherLanguage: normalize(rawOtherLang),\n },\n hobbies,\n accomplishments,\n submittedAt: data.submittedAt || \"\",\n};\n\n// === Return ONE item with both student and COUNTRY ===\nreturn [\n {\n json: {\n student,\n COUNTRY\n }\n }\n];\n\n\n\n\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 768, 992 ], "id": "93091ab0-1b48-429a-98ca-286f8d190dfc", "name": "Code in JavaScript" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 1312, 1216 ], "id": "c45b5af6-c714-42c1-adac-baff89b95d21", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "id": "YvB1Djct4C595B0k", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "promptType": "define", "text": "=Tu es un conseiller d’orientation. Ta mission est de recommander *trois filières adaptées au profil de l’étudiant, en te basant UNIQUEMENT sur les données ci-dessous. La réponse doit absolument inclure le **nom exact de chaque filière* et une *justification brève en une ligne* pour chacune. \n\n──────────────────────────────\nDONNÉES ÉTUDIANT \n{{ $json.STUDENT }}\n──────────────────────────────\n\nRÉPONSE ATTENDUE (format strict, trois filières) :\n\n### 🎓 Filières recommandées\n1. Nom complet de la filière — Compatibilité : X% \n Justification brève (1 ligne)\n\n2. Nom complet de la filière — Compatibilité : X% \n Justification brève (1 ligne)\n\n3. Nom complet de la filière — Compatibilité : X% \n Justification brève (1 ligne)", "options": {} }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3, "position": [ 1408, 1008 ], "id": "e707ba8f-e688-4e18-adfb-f75efeecb0fb", "name": "AI Agent" }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "AIzaSyA85yJzbonoMi2KpzosQmW6oPD1AEAY6J4" }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 1488, 1200 ], "id": "14695960-7809-48a1-8626-06b6e2077b9a", "name": "Simple Memory" }, { "parameters": { "content": "## FORMULAIRE A REMPLIRE \n remplire ce formulaire permettra a lagent de bien identifier l orientation \n", "color": 2 }, "type": "n8n-nodes-base.stickyNote", "position": [ 416, 832 ], "typeVersion": 1, "id": "d71bce63-e2a5-4a3e-85cf-e9229763db79", "name": "Sticky Note" }, { "parameters": { "content": "## JAVA CODE \n ce code permet de reunir tous les sorties su formulaire ( donnes ex : note math ... )", "color": 6 }, "type": "n8n-nodes-base.stickyNote", "position": [ 800, 864 ], "typeVersion": 1, "id": "b5884fd5-8e17-4b41-a10b-e820098f9ec4", "name": "Sticky Note1" }, { "parameters": { "content": "## Agent Ai \ncet agenty va identifier la filliere correspondante en fonction des notes et des interets de l etudiant ", "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1344, 864 ], "typeVersion": 1, "id": "1206d66f-f281-4e80-bb9a-694b7c4e3fd8", "name": "Sticky Note2" }, { "parameters": { "formTitle": "GRADES", "formDescription": "smth", "formFields": { "values": [ { "fieldLabel": "GRADE SYSTEM", "fieldType": "dropdown", "fieldOptions": { "values": [ { "option": "Out of 20 " }, { "option": "Letter grades " }, { "option": "Classes " }, { "option": "Out of 6 " }, { "option": "Out of 10 " }, { "option": "Out of 5 " }, { "option": "Percentage" } ] } }, { "fieldLabel": "MATH", "requiredField": true }, { "fieldLabel": "PHYSICS ", "requiredField": true }, { "fieldLabel": "SCIENCE ", "requiredField": true }, { "fieldLabel": "ENGLISH", "requiredField": true }, { "fieldLabel": "OTHER Language ", "requiredField": true }, { "fieldLabel": "OTHER LANGUAGE GRADE ", "requiredField": true }, { "fieldLabel": "HOBBYS ( optional )" }, { "fieldLabel": "Accomplishements ( MUNS - HACKATHONS .... ) ( optional ) " }, { "fieldLabel": "COUNTRY ", "fieldType": "textarea", "requiredField": true }, { "fieldLabel": "SAT OR TOEFL ( OPTIONAL ) " } ] }, "options": {} }, "type": "n8n-nodes-base.formTrigger", "typeVersion": 2.3, "position": [ 496, 992 ], "id": "b4c9258a-6fac-4582-9d2d-84b9e328798d", "name": "On form submission1", "webhookId": "a3e59d4f-a703-49b9-8254-a5a200c609f7" }, { "parameters": { "mode": "retrieve-as-tool", "toolDescription": "STORE", "memoryKey": { "__rl": true, "mode": "list", "value": "vector_store_key" } }, "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory", "typeVersion": 1.3, "position": [ 1648, 1184 ], "id": "719cdebe-8c33-4f95-aacb-76c27065a700", "name": "Simple Vector Store" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini", "typeVersion": 1, "position": [ 1664, 1312 ], "id": "8d5ffcdd-84d7-4d5f-97cc-e1cb7d676800", "name": "Embeddings Google Gemini", "credentials": { "googlePalmApi": { "id": "YvB1Djct4C595B0k", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "jsCode": "// Récupère le texte depuis n'importe quelle clé\nlet text = \"\";\nfor (const key of Object.keys(items[0].json)) {\n if (typeof items[0].json[key] === \"string\" && items[0].json[key].includes(\"1\")) {\n text = items[0].json[key];\n break;\n }\n}\n\n// Si pas de texte trouvé → retourne un item pour éviter No output data\nif (!text) {\n return [{\n json: {\n error: \"Texte non trouvé dans l'input\",\n keys_disponibles: Object.keys(items[0].json)\n }\n }];\n}\n\n// Remplace les \"\\n\" littéraux par de vrais retours à la ligne\ntext = text.replace(/\\\\n/g, \"\\n\");\n\n// Découpe sur \"\\n1\", \"\\n2\", \"\\n3\" (numéro suivi d'un point ou non)\nlet parts = text.split(/\\n\\d+/);\n\n// Nettoyage : retire les espaces vides\nparts = parts.map(p => p.trim()).filter(p => p.length > 0);\n\n// Retourne chaque partie comme item séparé\nreturn parts.map((p, i) => ({\n json: {\n index: i + 1,\n texte_partie: p\n }\n}));\n\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1808, 992 ], "id": "603e02e7-7d69-46c0-badb-96160fbf535d", "name": "Code in JavaScript1" }, { "parameters": { "assignments": { "assignments": [ { "id": "b7fd1bf0-25d5-436a-8158-18ede4dd25e3", "name": "STUDENT", "value": "={{ $json.student }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1200, 1040 ], "id": "c8086b01-d0ba-4db4-8715-0d70d49c63de", "name": "Edit Fields" }, { "parameters": { "assignments": { "assignments": [ { "id": "9a59d05c-5030-4e48-9b62-f4315b0df2d0", "name": "COUNTRY ", "value": "={{ $json.COUNTRY }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 2000, 816 ], "id": "63c045c9-94ef-49e4-a445-057c76a74711", "name": "Edit Fields1" }, { "parameters": { "assignments": { "assignments": [ { "id": "37bacedd-9c1c-4ffd-8edb-72822d600c2a", "name": "COUNTRY WHERE TO STUDY ", "value": "={{ $json['COUNTRY '] }}", "type": "string" }, { "id": "6d8082ef-4de7-4746-86f3-d65265a7840a", "name": "FILIERE", "value": "={{ $('AI Agent').item.json.output }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 2112, 1024 ], "id": "5c14df84-7be4-4916-8fdd-c75ff47cdb01", "name": "Edit Fields2" }, { "parameters": { "promptType": "define", "text": "=SAY THE BEST UNIVERSITIES IN THIS COUNTRY : {{ $json['COUNTRY WHERE TO STUDY '] }} TO STUDY THESE SUBJECTS :{{ $json.FILIERE }} . JUST TELL ME 3 UNIVERSITIES IN FRANCE THAT TEACHES THESE SUBJEConly type the 3 universities without talking ", "options": {} }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3, "position": [ 2528, 1024 ], "id": "dc5b2a1c-b0a2-4ced-ab09-c5ff52477e7d", "name": "AI Agent1" }, { "parameters": { "modelName": "models/gemini-flash-lite-latest", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 2400, 1232 ], "id": "5dd3b95d-ae7e-458d-949f-1a0244c99f40", "name": "Google Gemini Chat Model1", "credentials": { "googlePalmApi": { "id": "YvB1Djct4C595B0k", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "LAST NODES" }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 2544, 1232 ], "id": "628803b9-0f7d-4795-9e7b-a273b72e8db0", "name": "Simple Memory1" }, { "parameters": { "mode": "retrieve-as-tool", "toolDescription": "GOOD", "memoryKey": { "__rl": true, "mode": "list", "value": "vector_store_key" } }, "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory", "typeVersion": 1.3, "position": [ 2752, 1152 ], "id": "6ab64fb8-7fa6-488a-925b-298ade7fc357", "name": "Simple Vector Store1" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini", "typeVersion": 1, "position": [ 2816, 1328 ], "id": "d3e6fb2e-6bf0-455b-9188-5f11ebbc1494", "name": "Embeddings Google Gemini1", "credentials": { "googlePalmApi": { "id": "YvB1Djct4C595B0k", "name": "Google Gemini(PaLM) Api account" } } }, { "parameters": { "jsCode": "// Get FILIERE from current input\nconst filiere = $input.all().find(i => i.json[\"FILIERE\"])\n ?.json[\"FILIERE\"] ?? \"NOT SET\";\n\n// Get COUNTRY from the other node by name\nconst country = $items(\"Edit Fields2\").find(i => i.json[\"COUNTRY WHERE TO STUDY \"])\n ?.json[\"COUNTRY WHERE TO STUDY \"] ?? \"NOT SET\";\n\nreturn [\n {\n json: {\n \"COUNTRY WHERE TO STUDY \": country,\n \"FILIERE\": filiere\n }\n }\n];\n\n\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2320, 1024 ], "id": "1d1697ae-cae0-44e8-a97a-f54e2a3bd532", "name": "Code in JavaScript2" }, { "parameters": { "jsCode": "const input = $input.all()[0]?.json?.output;\nconst universities = input.split(\"\\n\");\nconst output = universities.map((university, index) => {\n return { json: { university }, pairedItem: index };\n});\nreturn output;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2880, 1040 ], "id": "112d30eb-f023-47e5-8bcc-02e4ca03a23a", "name": "Code in JavaScript3" } ], "pinData": {}, "connections": { "Code in JavaScript": { "main": [ [ { "node": "Edit Fields1", "type": "main", "index": 0 }, { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "On form submission1": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Code in JavaScript1", "type": "main", "index": 0 } ] ] }, "Simple Vector Store": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Embeddings Google Gemini": { "ai_embedding": [ [ { "node": "Simple Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Code in JavaScript1": { "main": [ [ { "node": "Edit Fields2", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Edit Fields1": { "main": [ [ { "node": "Edit Fields2", "type": "main", "index": 0 } ] ] }, "Edit Fields2": { "main": [ [ { "node": "Code in JavaScript2", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "AI Agent1", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory1": { "ai_memory": [ [ { "node": "AI Agent1", "type": "ai_memory", "index": 0 } ] ] }, "Simple Vector Store1": { "ai_tool": [ [ { "node": "AI Agent1", "type": "ai_tool", "index": 0 } ] ] }, "Embeddings Google Gemini1": { "ai_embedding": [ [ { "node": "Simple Vector Store1", "type": "ai_embedding", "index": 0 } ] ] }, "Code in JavaScript2": { "main": [ [ { "node": "AI Agent1", "type": "main", "index": 0 } ] ] }, "AI Agent1": { "main": [ [ { "node": "Code in JavaScript3", "type": "main", "index": 0 } ] ] }, "Code in JavaScript3": { "main": [ [] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "68f6aada-0d83-4cfd-b7c5-b26779410178", "meta": { "templateCredsSetupCompleted": true, "instanceId": "de5ab2b6191ebcea11a52e8b3877d54f289f09c4c6f82875c42c575b3162a126" }, "id": "6LlVEEuBKy63GgNU", "tags": [] }