This workflow follows the Agent → OpenAI Chat 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": "pass@k",
"nodes": [
{
"parameters": {
"promptType": "define",
"text": "={{ $json.output }}",
"options": {
"systemMessage": "You are a SpinalHDL RTL designer that only writes code using correct Spinalhdl syntax.Enclose your code with [BEGIN] and [DONE].Only output the code snippet and do NOT output anything else.use follow pattern:\n```\nimport spinal.core._\nimport spinal.lib._\n\n// Hardware definition\ncase class TopModule() extends Component {\n \n}\n\nobject TopMain {\n def main(args: Array[String]) {\n SpinalVerilog(new TopModule)\n }\n}\n\n```"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
-816,
-160
],
"id": "e80fe082-edb5-4d26-9ab9-04c981fb6fba",
"name": "AI Agent",
"alwaysOutputData": false
},
{
"parameters": {
"operation": "toText",
"sourceProperty": "output",
"binaryPropertyName": "=data",
"options": {
"fileName": "={{ $('Read Prompt Files').all()[$runIndex].json.fileName.replace(/prompt\\.txt$/, 'sample0'+($itemIndex+1)+'.scala') }}"
}
},
"type": "n8n-nodes-base.convertToFile",
"typeVersion": 1.1,
"position": [
-336,
-192
],
"id": "e2768d1f-ac5b-4be0-8e7f-2afff0b446e8",
"name": "Convert to File"
},
{
"parameters": {
"content": "## \u8f93\u5165\u83b7\u53d6\u4e0e\u5904\u7406 ",
"height": 404,
"width": 952
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-2544,
-240
],
"typeVersion": 1,
"id": "19d47066-2d7c-42da-a753-57c150e3c1f4",
"name": "Sticky Note"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
-1712,
-48
],
"id": "fa970be3-6197-4f1c-9881-633d68cbb4ba",
"name": "Loop Over Items"
},
{
"parameters": {
"executeOnce": false,
"command": "=mkdir -p /files/output-test/{{$('Read Prompt Files').item.json.fileName.slice(0,-11)}}"
},
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-2224,
-160
],
"id": "9ba60180-f842-4419-99a3-c68698ce9d8a",
"name": "create fold",
"alwaysOutputData": true
},
{
"parameters": {
"fileSelector": "/files/dataset_spec-to-spinalhdl/Prob*.txt",
"options": {}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1,
"position": [
-2400,
-64
],
"id": "9bde9a9f-fb08-47d4-a68f-a8680309c69f",
"name": "Read Prompt Files"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-2544,
-64
],
"id": "b6fc62b4-985e-4f3c-bf66-e86f759e8572",
"name": "Execute workflow"
},
{
"parameters": {
"operation": "text",
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
-1904,
-48
],
"id": "3bed9b23-df10-4414-a3ce-d6fb70e097f5",
"name": "Extract Prompt from File"
},
{
"parameters": {
"operation": "toText",
"sourceProperty": "=output",
"binaryPropertyName": "=data",
"options": {
"fileName": "={{ $('Read Prompt Files').all()[$runIndex].json.fileName.replace(/prompt\\.txt$/, 'sample0'+($itemIndex+1)+'-sv-generate.log') }}"
}
},
"type": "n8n-nodes-base.convertToFile",
"typeVersion": 1.1,
"position": [
-464,
-32
],
"id": "8b1a2dc5-7940-47eb-a157-78368b5a3257",
"name": "Edit log"
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
-64,
-48
],
"id": "674561cd-aa72-4b77-aff8-41b4b4028793",
"name": "Merge"
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
-2064,
-48
],
"id": "93f72d2b-1a6c-48ea-b9a3-e4ef2a7e928f",
"name": "Merge1"
},
{
"parameters": {
"operation": "write",
"fileName": "=/files/output-test/{{$('Read Prompt Files').all()[$runIndex].json.fileName.slice(0,-11)}}/{{$('Edit log').item.binary.data.fileName}}",
"dataPropertyName": "=data",
"options": {
"append": false
}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1,
"position": [
-320,
-16
],
"id": "f2c3b7c6-88f8-4dd9-bb04-35e1f626101f",
"name": "Write Log Files to Disk1"
},
{
"parameters": {
"operation": "write",
"fileName": "=/files/output-test/{{$('Read Prompt Files').all()[$runIndex].json.fileName.slice(0,-11)}}/{{$('Convert to File').item.binary.data.fileName}}",
"dataPropertyName": "=data",
"options": {
"append": false
}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1,
"position": [
-176,
-192
],
"id": "d9e72f40-c67e-4789-bda5-02885d06b042",
"name": "Write Scala Files to Disk"
},
{
"parameters": {
"jsCode": "for (const item of $input.all()) {\n const text = item.json.output || '';\n \n // \u5c1d\u8bd5\u5339\u914d [BEGIN] \u548c [DONE] \u4e4b\u95f4\u7684\u5185\u5bb9\n // const beginDoneRegex = /\\[BEGIN\\]\\s*([\\s\\S]*?)\\s*\\[DONE\\]/;\n // const beginDoneMatch = text.match(beginDoneRegex);\n \n // if (beginDoneMatch) {\n // // \u6210\u529f\u5339\u914d\uff1a\u63d0\u53d6\u4e2d\u95f4\u5185\u5bb9\u5e76\u53bb\u9664\u9996\u5c3e\u7a7a\u767d\n // item.json.output = beginDoneMatch[1].trim();\n // } else {\n // \u5339\u914d\u5931\u8d25\uff1a\u5c1d\u8bd5\u5339\u914d SpinalHDL \u5b8c\u6574\u4ee3\u7801\u5757\n const spinalRegex = /(import spinal\\.core\\._[\\s\\S]*?object TopMain\\s*\\{[\\s\\S]*?\\}\\s*\\})/;\n const spinalMatch = text.match(spinalRegex);\n \n if (spinalMatch) {\n // \u6210\u529f\u5339\u914d\uff1a\u8fd4\u56de\u5305\u542b\u6807\u8bb0\u7684\u5b8c\u6574\u4ee3\u7801\u5757\n item.json.output = spinalMatch[1].trim();\n } else {\n // \u53cc\u91cd\u5339\u914d\u5931\u8d25\uff1a\u8fd4\u56de\u7a7a\u5b57\u7b26\u4e32\n item.json.output = '';\n }\n // }\n}\n\nreturn $input.all();"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-464,
-192
],
"id": "fdb1245d-4159-402e-880b-8e8cacf40855",
"name": "Code"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "8c8d3eef-b4d8-4d82-aeb1-4bce092e7eb7",
"name": "=output",
"value": "={{ $json.data +\"Must choose context7 tool.Use context7.\"}}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-1296,
-176
],
"id": "f0c5bc62-0f6f-418b-ac02-8c2a6e05bbcf",
"name": "Edit Prompt1"
},
{
"parameters": {
"descriptionType": "manual",
"toolDescription": "Use MCP client.Use context7",
"connectionType": "sse",
"operation": "executeTool",
"toolName": "=get-library-docs",
"toolParameters": "={\n\"context7CompatibleLibraryID\":\"/spinalhdl/spinaldoc-rtd\",\n\"topic\":\"{{ $('Merge2').all().last().json.output }}\",\n\"tokens\":\"10000\"\n}"
},
"type": "n8n-nodes-mcp.mcpClientTool",
"typeVersion": 1,
"position": [
-784,
48
],
"id": "d96e1880-9767-476c-9dca-3cf99ce8f0f1",
"name": "MCP Client1",
"credentials": {
"mcpClientSseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"connectionType": "sse"
},
"type": "n8n-nodes-mcp.mcpClientTool",
"typeVersion": 1,
"position": [
-656,
48
],
"id": "62de4d8c-1870-45fa-8e45-81bb2519961f",
"name": "MCP Client",
"credentials": {
"mcpClientSseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## Generation LLM\u53caMCP\u8c03\u7528\n",
"height": 420,
"width": 964,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
-240
],
"typeVersion": 1,
"id": "3f544b7c-775b-4954-90c2-cb289c445ccb",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## \u4ee3\u7801\u53calog\u4fdd\u5b58\n",
"height": 388,
"width": 640,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
-240
],
"typeVersion": 1,
"id": "122f30c2-c16f-4377-a4cc-bf2ef8cc662a",
"name": "Sticky Note2"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "deepseek-ai/DeepSeek-V3.1-Terminus",
"mode": "list",
"cachedResultName": "deepseek-ai/DeepSeek-V3.1-Terminus"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-944,
48
],
"id": "331f3247-ae73-4453-854b-02fa6d3d8325",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.data }}",
"options": {
"systemMessage": "You are a spinalhdl prompt word summary assistant that only output four spinalhdl topic words based on user message,separated by commas for all topic words"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
-1440,
240
],
"id": "6607e3c6-d47d-43c3-9468-bafdb8bea169",
"name": "AI Agent1"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "Qwen/Qwen3-30B-A3B-Instruct-2507",
"mode": "list",
"cachedResultName": "Qwen/Qwen3-30B-A3B-Instruct-2507"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-1440,
400
],
"id": "b34614d3-ec6d-46ce-a3b3-5d0fb5cc6145",
"name": "OpenAI Chat Model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "//return Array(5).fill({});\n\n// \u83b7\u53d6\u4e0a\u4e00\u4e2a\u8282\u70b9\u7684\u6240\u6709\u6570\u636e\nconst previousData = $input.all();\n\n// \u5982\u679c\u4e0a\u4e00\u4e2a\u8282\u70b9\u6709\u6570\u636e\uff0c\u590d\u52363\u6b21\nif (previousData && previousData.length > 0) {\n const result = [];\n for (let i = 0; i < 1; i++) {\n // \u590d\u5236\u6570\u636e\u5e76\u6dfb\u52a0\u5faa\u73af\u7d22\u5f15\u4fe1\u606f\n previousData.forEach(item => {\n result.push({\n json: {\n ...item.json, // \u4fdd\u7559\u539f\u59cb\u6570\u636e\n iteration: i + 1, // \u6dfb\u52a0\u8fed\u4ee3\u6b21\u6570\u6807\u8bc6\n runIndex: $runIndex // \u6dfb\u52a0\u8fd0\u884c\u7d22\u5f15\n }\n });\n });\n }\n return result;\n} else {\n // \u5982\u679c\u6ca1\u6709\u4e0a\u4e00\u4e2a\u8282\u70b9\u7684\u6570\u636e\uff0c\u8fd4\u56de\u7a7a\u6570\u7ec4\n return [];\n}\n\n"
},
"id": "b5d6a10b-b125-49bd-bdae-2c9992b2908c",
"name": "\u63a7\u5236\u91c7\u6837\u6b21\u6570",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1472,
-176
]
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
-1120,
-160
],
"id": "6c0b7036-dd66-499c-a5db-0f745b47e1a4",
"name": "Merge2"
},
{
"parameters": {
"jsCode": "// \u83b7\u53d6\u4e0a\u4e00\u4e2a\u8282\u70b9\u7684\u6240\u6709\u6570\u636e\nconst previousData = $input.all();\n\n// \u5982\u679c\u4e0a\u4e00\u4e2a\u8282\u70b9\u6709\u6570\u636e\uff0c\u63d0\u53d6\u9664\u6700\u540e\u4e00\u4e2a\u4e4b\u5916\u7684\u6240\u6709\u6570\u636e\nif (previousData && previousData.length > 0) {\n const result = [];\n \n // \u5904\u7406\u9664\u6700\u540e\u4e00\u4e2a\u4e4b\u5916\u7684\u6240\u6709\u6570\u636e\u9879\n for (let i = 0; i < previousData.length - 1; i++) {\n result.push({\n json: {\n ...previousData[i].json, // \u4fdd\u7559\u539f\u59cb\u6570\u636e\n originalIndex: i, // \u6dfb\u52a0\u539f\u59cb\u7d22\u5f15\u6807\u8bc6\n runIndex: $runIndex // \u6dfb\u52a0\u8fd0\u884c\u7d22\u5f15\n }\n });\n }\n \n return result;\n} else {\n // \u5982\u679c\u6ca1\u6709\u4e0a\u4e00\u4e2a\u8282\u70b9\u7684\u6570\u636e\uff0c\u8fd4\u56de\u7a7a\u6570\u7ec4\n return [];\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-976,
-160
],
"id": "9f38eeef-a800-4058-aa30-bcc5cf6b0d48",
"name": "Code in JavaScript"
},
{
"parameters": {
"content": "## \u63d0\u793a\u8bcd\u89e3\u6790\n",
"height": 340,
"width": 484,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
192
],
"typeVersion": 1,
"id": "f11734db-2045-4873-9b1f-7d208f785da1",
"name": "Sticky Note3"
},
{
"parameters": {
"model": "deepseek/deepseek-v3.1-terminus",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
-896,
208
],
"id": "2f44d25e-a5db-48f7-81d4-f9df5605f24a",
"name": "OpenRouter Chat Model",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Edit log",
"type": "main",
"index": 0
},
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Convert to File": {
"main": [
[
{
"node": "Write Scala Files to Disk",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "\u63a7\u5236\u91c7\u6837\u6b21\u6570",
"type": "main",
"index": 0
},
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
]
]
},
"create fold": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Read Prompt Files": {
"main": [
[
{
"node": "create fold",
"type": "main",
"index": 0
},
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"Execute workflow": {
"main": [
[
{
"node": "Read Prompt Files",
"type": "main",
"index": 0
}
]
]
},
"Extract Prompt from File": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Edit log": {
"main": [
[
{
"node": "Write Log Files to Disk1",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Merge1": {
"main": [
[
{
"node": "Extract Prompt from File",
"type": "main",
"index": 0
}
]
]
},
"Write Log Files to Disk1": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Write Scala Files to Disk": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "Convert to File",
"type": "main",
"index": 0
}
]
]
},
"Edit Prompt1": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 0
}
]
]
},
"MCP Client1": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"MCP Client": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[]
]
},
"AI Agent1": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 1
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"\u63a7\u5236\u91c7\u6837\u6b21\u6570": {
"main": [
[
{
"node": "Edit Prompt1",
"type": "main",
"index": 0
}
]
]
},
"Merge2": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "b36cb968-750e-455c-b556-01d03eaba855",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "cHy6j3tWsfWYcw6N",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
mcpClientSseApiopenAiApiopenRouterApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
pass@k. Uses agent, executeCommand, readWriteFile, n8n-nodes-mcp. Event-driven trigger; 27 nodes.
Source: https://github.com/Yuxin-Yu/SpinalHDL-Eval/blob/12bfd202ebb1043d3eeb8b157d8f525b3b853f19/n8n/SpinalHDL-Eval-MCP.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
RAG CHATBOT Main. Uses telegram, telegramTrigger, lmChatOpenAi, n8n-nodes-mcp. Event-driven trigger; 87 nodes.
Telegram, Telegram Trigger, OpenAI Chat +8
My workflow 4. Uses formTrigger, httpRequest, googleDrive, agent. Event-driven trigger; 48 nodes.
Form Trigger, HTTP Request, Google Drive +6
Turbo Videogen. Uses lmChatOpenRouter, agent, httpRequest, formTrigger. Event-driven trigger; 41 nodes.
OpenRouter Chat, Agent, HTTP Request +7
This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents.
Tool Http Request, Agent, HTTP Request +27
This workflow helps to automatically discover undocumented API endpoints by analysing JavaScript files from the website's HTML code.
Output Parser Autofixing, HTTP Request, Read Write File +5