{ "id": "VXI1oimqqgMIuyoW", "meta": { "templateCredsSetupCompleted": true }, "name": "Generate Exam Question Papers with GPT-4 and Email Delivery", "tags": [ { "id": "FpgsQop46OJZvlVy", "name": "email delivery,", "createdAt": "2025-10-06T06:19:27.472Z", "updatedAt": "2025-10-06T06:19:27.472Z" }, { "id": "jOrd4snJb09TgYlm", "name": "exam", "createdAt": "2025-10-03T18:11:52.921Z", "updatedAt": "2025-10-03T18:11:52.921Z" }, { "id": "myoUDIKtA36WZV5o", "name": "questions", "createdAt": "2025-10-03T18:12:03.507Z", "updatedAt": "2025-10-03T18:12:03.507Z" }, { "id": "sdVZxgD8cvoEmBne", "name": "question paper", "createdAt": "2025-10-03T18:12:18.509Z", "updatedAt": "2025-10-03T18:12:18.509Z" } ], "nodes": [ { "id": "d52fb9c2-2115-4652-8e2e-52dede6bc99e", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [ -720, -500 ], "parameters": { "options": {}, "formTitle": "Syllabus Submission", "formFields": { "values": [ { "fieldLabel": "Name of the subject with code" }, { "fieldType": "textarea", "fieldLabel": "syllabus for unit 1" }, { "fieldLabel": "syllabus for unit 2" }, { "fieldType": "email", "fieldLabel": "Enter your email to send the Exam Question Paper.", "placeholder": "You will receive the question paper link in the email.", "requiredField": true } ] } }, "typeVersion": 2.2 }, { "id": "1747ae55-0145-491d-b06c-7d6fad1b6fb4", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 40, -940 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4-turbo-2024-04-09", "cachedResultName": "gpt-4-turbo-2024-04-09" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "db8b52b5-de1f-4346-a1e4-a2cd1505bb10", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -20, -460 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4-turbo", "cachedResultName": "gpt-4-turbo" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "c3e9d1d5-46ca-42b4-807e-faa2cbc1c747", "name": "OpenAI Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -20, 100 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "647e3bc6-2672-4858-8cce-f2bc12f2ff4c", "name": "Part A QP Agent", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueErrorOutput", "position": [ 140, -1260 ], "parameters": { "text": "=You are a professor in a college assigned to create a question paper.\n\nTask\n\nCreate exactly 4 questions, each worth 13 marks:\n\nQuestions 1 and 2 from {{ $json['syllabus for unit 1'] }}\n\nQuestions 3 and 4 from {{ $json['syllabus for unit 2'] }}\n\nDo NOT include question numbers in the text. Return ONLY valid JSON with 4 items. Generate simple questions with 2 marks each, following Bloom\u2019s Taxonomy levels \u2014 Remember and Understand.\n\nOutput Format\n\n{\n\"QuestionsA\": [\n\"Question from Unit 1 - 1\",\n\"Question from Unit 1 - 2\",\n\"Question from Unit 2 - 1\",\n\"Question from Unit 2 - 2\"\n]\n}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.8, "alwaysOutputData": false }, { "id": "d8336bbc-ad6e-44db-9555-453a4f28de0a", "name": "Part C QP Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 180, -280 ], "parameters": { "text": "=You are a professor in a college assigned to create a question paper for the syllabus.\n\nTask\n\nCreate 2 questions, each worth 14 marks, from the following syllabus: {{ $json['syllabus for unit 1'] }}.\n\nGenerate questions that align with Bloom\u2019s Taxonomy levels \u2014 Analyze and Evaluate.\n\nOutput Format\n\nDisplay each question separately on a new line, one after another.\n\nOutput exactly 2 questions in total.\n\nDo not include question numbers in the output.\n\nReturn the output in valid JSON format as shown below:\n\n{\n \"QuestionsC\": [\n \"string (question from Unit 1 - 1)\",\n \"string (question from Unit 1 - 2)\"\n ]\n}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.8 }, { "id": "ed68e227-24b1-48d0-879b-5a5db0476399", "name": "Structured Output Parser2", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 440, 60 ], "parameters": { "jsonSchemaExample": "{\n\n\t\"QuestionsC\": [\n \"q1\", \n \"q2\"\n ]\n}" }, "typeVersion": 1.2 }, { "id": "b96123a3-5216-465e-b96f-3b1fdba19821", "name": "Structured Output Parser1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 420, -440 ], "parameters": { "jsonSchemaExample": "{\n \"QuestionsB\": [\n \"string (question from Unit 1)\",\n \"string (question from Unit 1)\",\n \"string (question from Unit 2)\",\n \"string (question from Unit 2)\"\n ]\n}\n" }, "typeVersion": 1.2 }, { "id": "53df364b-d29e-4bff-a0f3-2a568e27d74e", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 520, -860 ], "parameters": { "jsonSchemaExample": "{\n \"QuestionsA\": [\n \"Question from Syllabus 1 - 1\",\n \"Question from Syllabus 1 - 2\",\n \"Question from Syllabus 2 - 1\",\n \"Question from Syllabus 2 - 2\"\n ]\n}\n" }, "typeVersion": 1.2 }, { "id": "710af5bb-3308-49aa-9415-40f89a132aa4", "name": "Part B QP Agent1", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueRegularOutput", "position": [ 120, -780 ], "parameters": { "text": "=You are a professor in a college assigned to create a question paper.\n\nTask:\n\nCreate exactly 4 questions for Part B, each worth 13 marks.\n\nChoose 2 questions from the following syllabus topics: {{ $json[\"syllabus for unit 1\"] }}\n\nChoose 2 questions from the following syllabus topics: {{ $json[\"syllabus for unit 2\"] }}\n\nGenerate questions worth 13 marks each, following Bloom\u2019s Taxonomy levels \u2014 Apply and Analyse.\n\nOutput Format (must strictly match this schema):\n{\n \"QuestionsB\": [\n \"string (question from Unit 1 - 1)\",\n \"string (question from Unit 1 - 2)\",\n \"string (question from Unit 2 - 1)\",\n \"string (question from Unit 2 - 2)\"\n ]\n}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.8 }, { "id": "7dc94d6b-d214-437c-b6c6-251f231d4053", "name": "Merge", "type": "n8n-nodes-base.merge", "onError": "continueRegularOutput", "position": [ 1180, -820 ], "parameters": {}, "typeVersion": 3, "alwaysOutputData": true }, { "id": "5c40fd23-220c-4215-b6ce-6b9d9c82c88d", "name": "Merge1", "type": "n8n-nodes-base.merge", "position": [ 1440, -360 ], "parameters": {}, "typeVersion": 3 }, { "id": "feb6ebc0-2a02-45cd-93b6-c273e82a4dd9", "name": "Code", "type": "n8n-nodes-base.code", "position": [ 1620, -580 ], "parameters": { "jsCode": "return [\n {\n json: {\n QuestionsA: items[0].json.output.QuestionsA,\n QuestionsB: items[1].json.output.QuestionsB,\n QuestionsC: items[2].json.output.QuestionsC,\n }\n }\n];\n" }, "typeVersion": 2 }, { "id": "11aa55ff-531b-4357-bf9c-208c6939073d", "name": "Gmail", "type": "n8n-nodes-base.gmail", "position": [ 2100, -940 ], "parameters": { "sendTo": "={{ $node[\"On form submission\"].json[\"Enter your email to send the Exam Question Paper.\"] }} \n", "message": "=Thank you for your interest. We have \n\n{{ $json.html }}", "options": { "bccList": "user@example.com" }, "subject": "={{ $node[\"On form submission\"].json[\"Name of the subject with code\"] }} Question Paper" }, "credentials": { "gmailOAuth2": { "name": "" } }, "executeOnce": true, "typeVersion": 2.1 }, { "id": "b92f56f3-0a1a-4dc1-8fda-a73f49cc1047", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1700, -1060 ], "parameters": { "content": "In the HTML section enter the html code of the question paper template and call the generated question from AI Agents" }, "typeVersion": 1 }, { "id": "4aaa8af3-6477-4e1b-be7b-dedd9b903870", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 2060, -1080 ], "parameters": { "content": "You will receive the generated question paper in the email." }, "typeVersion": 1 }, { "id": "972d7487-57a9-48d4-9ff2-2580721d38b7", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -840, -660 ], "parameters": { "content": "In the form, input the subject code/name, syllabus, and email to send the question paper " }, "typeVersion": 1 }, { "id": "00b1703f-2de1-4b68-b395-990731953778", "name": "QP Formatter with HTML", "type": "n8n-nodes-base.html", "position": [ 1780, -920 ], "parameters": { "html": "\n\n\n \n Question Paper\n \n\n\n\n \n
\n

AI-AGENT LEARNING AND TRAINING COLLEGE

\n

Autonomous | Approved by AIXYZ | Affiliated to XYZ University

\n

College Code: XYZ123

\n
\n\n \n
\n

Assessment QP \u2013 Month \u2013 Year (for III, V and VII Sem)

\n

Sub. Code/Name: 24YSN2025 - {{ $node['On form submission'].json['Name of the subject with code'] }}

\n

Slot/Strength: 25FLrn / NN Students

\n
\n\n \n
\n
PART \u2013 A (4 x 2 = 08 Marks)
\n

1. {{ $json.QuestionsA[0] }}

\n

2. {{ $json.QuestionsA[1] }}

\n

3. {{ $json.QuestionsA[2] }}

\n

4. {{ $json.QuestionsA[3] }}

\n
\n\n \n
\n
PART \u2013 B (2 x 13 = 26 Marks)
\n\n

3a. {{ $json.QuestionsB[0] }}

\n

or

\n

3b. {{ $json.QuestionsB[1] }}

\n\n

4a. {{ $json.QuestionsB[2] }}

\n

or

\n

4b. {{ $json.QuestionsB[3] }}

\n
\n\n \n
\n
PART \u2013 C (Case Study / Applications) (1 x 14 = 14 Marks)
\n

5a. {{ $json.QuestionsC[0] }}

\n

or

\n

5b. {{ $json.QuestionsC[1] }}

\n
\n\n \n
\n Generated on: {{ new Date().toLocaleDateString(\"en-GB\") }} template by Gracewell89 via N8N\n
\n\n\n\n" }, "typeVersion": 1.2, "alwaysOutputData": false }, { "id": "261c711f-af63-4362-bfff-39897a4e7438", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 540, -1320 ], "parameters": { "content": "This AI Agent will generate four 2 mark questions " }, "typeVersion": 1 }, { "id": "c706be51-1c6a-4c45-9b31-6dd52a24aaf7", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 440, -720 ], "parameters": { "content": "This AI Agent will generate four 13 mark questions with each question having 2 choices" }, "typeVersion": 1 }, { "id": "791adcb1-058e-4a5b-a4c5-711d4c0fd61d", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 500, -180 ], "parameters": { "content": "This AI Agent will generate two 14 mark questions with each question having 2 choices" }, "typeVersion": 1 } ], "active": true, "settings": { "callerPolicy": "workflowsFromSameOwner", "executionOrder": "v1" }, "versionId": "d01a99dd-8100-4e2a-b097-d897b44af582", "connections": { "Code": { "main": [ [ { "node": "QP Formatter with HTML", "type": "main", "index": 0 } ] ] }, "Merge": { "main": [ [ { "node": "Merge1", "type": "main", "index": 0 } ] ] }, "Merge1": { "main": [ [ { "node": "Code", "type": "main", "index": 0 } ] ] }, "Part A QP Agent": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Part C QP Agent": { "main": [ [ { "node": "Merge1", "type": "main", "index": 1 } ] ] }, "Part B QP Agent1": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Part A QP Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "On form submission": { "main": [ [ { "node": "Part A QP Agent", "type": "main", "index": 0 }, { "node": "Part C QP Agent", "type": "main", "index": 0 }, { "node": "Part B QP Agent1", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Part B QP Agent1", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "Part C QP Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "QP Formatter with HTML": { "main": [ [ { "node": "Gmail", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Part A QP Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser1": { "ai_outputParser": [ [ { "node": "Part B QP Agent1", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser2": { "ai_outputParser": [ [ { "node": "Part C QP Agent", "type": "ai_outputParser", "index": 0 } ] ] } } }