{"workflow":{"id":13792,"name":"Decide multi‑agent vs simple workflows using Azure OpenAI GPT‑4o‑mini","views":88,"recentViews":1,"totalViews":88,"createdAt":"2026-03-02T06:38:23.037Z","description":"## 📘 Description\nThis workflow acts as an AI Multi-Agent Architecture Advisor for n8n. It receives a problem statement via webhook, uses Azure OpenAI (gpt-4o-mini) to decide whether the problem needs a multi-agent design or a simple workflow, then returns a styled HTML report showing the decision, recommended agents (if any), and the suggested step flow.\n\n## ⚙️ Step-by-Step Flow\n- Receive Problem Description via POST (Webhook)\n- Accepts a POST payload containing a description field.\n- Extract Request Body (Code)\n- Strips the wrapper and outputs only the body JSON to simplify downstream prompts.\n- Multi-Agent Architecture Decision Agent (AI Agent)\n- Analyzes the problem description and outputs one of:\n- Decision: Multi-Agent Required + agent definitions + workflow steps\n- Decision: Not Required + minimal simplified workflow nodes\n- Parse Decision, Agents & Steps (Code)\n- Extracts three structured fields from the \n\nAI output:\n\ndecision\n- agents[] (name, purpose, node, reason)\n- workflow_flow[] (ordered steps)\n- Build HTML Architecture Report (Code)\n- Renders a clean card-based HTML dashboard:\n- Decision badge (multi vs simple)\n- Agent cards (if present)\n- Workflow flow chips (steps)\n- Return HTML Report to Caller (Respond to Webhook)\n- Returns the HTML report directly as the webhook response.\n- \n\n## 🧩 Prerequisites\n- • Azure OpenAI credential with an active gpt-4o-mini deployment\n- • n8n webhook endpoint exposed to the caller (or via tunnel)\n- \n\n## 💡 Key Benefits\n✔ Fast “multi-agent vs simple” decisioning\n✔ Outputs an actionable architecture, not generic advice\n✔ HTML report is ready to embed in internal tools (Base44/UI)\n✔ Structured parsing makes it easy to store or extend later\n\n## 👥 Perfect For\n- Automation agencies doing solution design calls\n- Teams standardizing how they choose agent-based workflows\n- Internal tooling that needs instant architecture recommendations","workflow":{"id":"S2fxW8jbFIetu8Vi","meta":{"instanceId":"8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177","templateCredsSetupCompleted":true},"name":"AI-Powered n8n Workflow Architecture Decision Engine","tags":[],"nodes":[{"id":"d5997a32-7d1a-404a-a6c2-83fc4ff3bdaa","name":"Receive Problem Description via POST","type":"n8n-nodes-base.webhook","position":[-384,544],"webhookId":"af08511e-f5d9-44e3-8a2f-2482b5c3e4a0","parameters":{"path":"af08511e-f5d9-44e3-8a2f-2482b5c3e4a0","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2.1},{"id":"b709e130-d9f0-4542-974f-f1c65b43e116","name":"Extract Request Body","type":"n8n-nodes-base.code","position":[-176,544],"parameters":{"jsCode":"// Get the first incoming item\nconst inputData = $input.first().json;\n\n// Return only the body\nreturn [\n {\n json: inputData.body\n }\n];"},"typeVersion":2},{"id":"8217efaf-8a7f-4e10-8f31-ca8415405eb6","name":"Multi-Agent Architecture Decision Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[32,544],"parameters":{"text":"=Analyze the following problem description and decide whether it requires a multi-agent workflow in n8n.\n\nIf it requires multi-agent architecture, design the agents with node types and reasons.\n\nIf it does not require multi-agent architecture, clearly state that and provide a simpler workflow instead.\n\nProblem Description:\n{{ $json.description }}","options":{"systemMessage":"=You are an n8n Multi-Agent Workflow Architect.\n\nYour job is to analyze a given problem description and decide whether it requires a multi-agent workflow or not.\n\nDecision Rules:\n1. If the problem involves multiple independent reasoning steps (classification, extraction, validation, risk scoring, decision making, routing, follow-ups), then design a multi-agent workflow.\n2. If the problem is simple (single-step logic, direct transformation, or basic automation), DO NOT design a multi-agent workflow.\n\nIf Multi-Agent is Required:\n- Clearly define:\n - Agent Name\n - Purpose\n - n8n Node Type\n - Why it is required\n- Keep explanations short and precise.\n- Provide logical flow order.\n\nIf Multi-Agent is NOT Required:\n- Clearly state: \"This does not require a multi-agent workflow.\"\n- Provide a simpler workflow logic.\n- List minimal required nodes.\n- Keep it concise.\n\nOutput Format:\n\nDecision: (Multi-Agent Required / Not Required)\n\nIf Required:\n1. Agent Name\n - Purpose:\n - Node:\n - Reason:\n\nWorkflow Flow:\nStep 1 →\nStep 2 →\nStep 3 →\n\nIf Not Required:\nSimplified Workflow:\n- Node 1:\n- Node 2:\n- Node 3:\n\nBe precise. No long explanations."},"promptType":"define"},"typeVersion":3},{"id":"9b3114b1-6179-45de-9f0c-ac9ced81ed5c","name":"Azure OpenAI GPT-4o-mini","type":"@n8n/n8n-nodes-langchain.lmChatAzureOpenAi","position":[32,976],"parameters":{"model":"gpt-4o-mini","options":{}},"credentials":{"azureOpenAiApi":{"id":"C3WzT18XqF8OdVM6","name":"Azure Open AI account"}},"typeVersion":1},{"id":"f368874a-c30a-4a57-85ae-b66ccf877a0a","name":"Parse Decision, Agents & Steps","type":"n8n-nodes-base.code","position":[464,544],"parameters":{"jsCode":"const items = $input.all();\n\nreturn items.map(item => {\n\n const rawText = item.json.output || \"\";\n\n // Extract Decision\n const decisionMatch = rawText.match(/Decision:\\s*(.*)/);\n const decision = decisionMatch ? decisionMatch[1].trim() : null;\n\n // Extract Agents\n const agentRegex = /Agent Name:\\s*(.*?)\\n\\s*- Purpose:\\s*(.*?)\\n\\s*- Node:\\s*(.*?)\\n\\s*- Reason:\\s*(.*?)(?=\\n\\n|\\n\\d+\\. Agent Name:|$)/gs;\n\n let agents = [];\n let match;\n\n while ((match = agentRegex.exec(rawText)) !== null) {\n agents.push({\n name: match[1]?.trim() || \"\",\n purpose: match[2]?.trim() || \"\",\n node: match[3]?.trim() || \"\",\n reason: match[4]?.trim() || \"\",\n });\n }\n\n // Extract Workflow Steps\n const stepsRegex = /Step \\d+:\\s*(.*?)\\s*→/g;\n let steps = [];\n let stepMatch;\n\n while ((stepMatch = stepsRegex.exec(rawText)) !== null) {\n steps.push(stepMatch[1]?.trim() || \"\");\n }\n\n return {\n json: {\n decision,\n agents,\n workflow_flow: steps\n }\n };\n});"},"typeVersion":2},{"id":"7344bc04-e81b-47c1-8809-7563dad58a7b","name":"Build HTML Architecture Report","type":"n8n-nodes-base.code","position":[672,544],"parameters":{"jsCode":"const items = $input.all();\n\nreturn items.map(item => {\n\n const data = item.json;\n\n const decisionClass =\n data.decision === \"Multi-Agent Required\"\n ? \"multi\"\n : \"simple\";\n\n const agentsHTML = Array.isArray(data.agents)\n ? data.agents.map(agent => `\n
\n ` : \"\"}\n\n \n \n `;\n\n return {\n json: {\n html\n }\n };\n});"},"typeVersion":2},{"id":"5f52eae8-6d9a-4be0-b2a2-6aeac4af1ba0","name":"Return HTML Report to Caller","type":"n8n-nodes-base.respondToWebhook","position":[880,544],"parameters":{"options":{},"respondWith":"text","responseBody":"={{$node['Build HTML Architecture Report'].json['html']}}"},"typeVersion":1.5},{"id":"26c1a118-683d-4cbd-a8b1-308b8b28312d","name":"Sticky Note - Overview","type":"n8n-nodes-base.stickyNote","position":[-1040,384],"parameters":{"width":540,"height":384,"content":"## 🟡 Workflow Overview\n\n### How it works\nThis workflow serves as an **AI-powered n8n Multi-Agent Architecture Advisor**. It accepts a plain-text problem description via a POST webhook and uses an Azure OpenAI-backed AI Agent to decide whether the problem warrants a multi-agent workflow or a simpler single-flow automation.\n\nThe AI Agent applies structured decision rules: if the problem involves multiple independent reasoning steps — such as classification, validation, routing, or risk scoring — it designs a full multi-agent architecture with named agents, n8n node types, and logical flow. If the problem is simple, it recommends a minimal node list instead.\n\nThe raw AI output is then parsed to extract the decision, agent definitions, and workflow steps. Finally, a styled HTML report is generated and returned directly in the webhook response as a visual card-based dashboard.\n\n### Setup steps\n1. **Activate the workflow** in n8n to register the Webhook URL.\n2. **Configure Azure OpenAI credentials** — ensure the `Azure Open AI account` credential is valid and the `gpt-4o-mini` deployment is active in your Azure resource.\n3. **Send a POST request** to the webhook URL with body: `{ \"description\": \"Your problem description here\" }`\n4. The response will be a styled HTML page with the architecture decision and agent breakdown.\n\n### Customization\n- Replace `gpt-4o-mini` with `gpt-4o` for higher reasoning accuracy on complex problems.\n- Modify the AI Agent system prompt to add new decision rules or output formats.\n- Update card styles in the **Build HTML Architecture Report** node to match your brand."},"typeVersion":1},{"id":"8fef77e7-2fd2-4ae8-9455-083f6bfe0588","name":"Sticky Note - Input Section","type":"n8n-nodes-base.stickyNote","position":[-448,384],"parameters":{"color":7,"width":388,"height":326,"content":"## 📥 Input & Extraction\nReceives a POST request with a `description` field and extracts the raw request body for downstream processing."},"typeVersion":1},{"id":"25685a95-fea8-49f1-8ccf-ff9d4130e7b1","name":"Sticky Note - AI Section","type":"n8n-nodes-base.stickyNote","position":[-32,384],"parameters":{"color":7,"width":432,"height":374,"content":"## 🤖 AI Architecture Decision\nThe AI Agent evaluates the problem description and decides if a multi-agent workflow is needed. It returns structured agent definitions, node types, and a logical workflow flow."},"typeVersion":1},{"id":"6e185fad-3128-41e4-9342-ba1a9dde7a87","name":"Sticky Note - Output Section","type":"n8n-nodes-base.stickyNote","position":[448,384],"parameters":{"color":7,"width":592,"height":374,"content":"## 📊 Parse, Build & Respond\nParses the AI output into structured decision, agents, and steps. Renders a styled HTML dashboard and returns it as the final webhook response."},"typeVersion":1},{"id":"6e67700a-9b33-4794-891a-1df42143db3b","name":"Sticky Note - Azure Warning","type":"n8n-nodes-base.stickyNote","position":[-192,816],"parameters":{"color":7,"width":360,"height":300,"content":"⚠️ **Azure OpenAI Credentials Required**\nThis node requires a valid `azureOpenAiApi` credential with an active `gpt-4o-mini` deployment. Missing or misconfigured credentials will cause all AI analysis to fail."},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"8f430c84-ba4f-4cc6-a871-ded693d19507","connections":{"Extract Request Body":{"main":[[{"node":"Multi-Agent Architecture Decision Agent","type":"main","index":0}]]},"Azure OpenAI GPT-4o-mini":{"ai_languageModel":[[{"node":"Multi-Agent Architecture Decision Agent","type":"ai_languageModel","index":0}]]},"Build HTML Architecture Report":{"main":[[{"node":"Return HTML Report to Caller","type":"main","index":0}]]},"Parse Decision, Agents & Steps":{"main":[[{"node":"Build HTML Architecture Report","type":"main","index":0}]]},"Receive Problem Description via POST":{"main":[[{"node":"Extract Request Body","type":"main","index":0}]]},"Multi-Agent Architecture Decision Agent":{"main":[[{"node":"Parse Decision, Agents & Steps","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":12,"nodeTypes":{"n8n-nodes-base.code":{"count":3},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.stickyNote":{"count":5},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.respondToWebhook":{"count":1},"@n8n/n8n-nodes-langchain.lmChatAzureOpenAi":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Rahul Joshi","username":"rahul08","bio":"Rahul Joshi is a seasoned technology leader specializing in the n8n automation tool and AI-driven workflow automation. With deep expertise in building open-source workflow automation and self-hosted automation platforms, he helps organizations eliminate manual processes through intelligent n8n ai agent automation solutions.\n\n","verified":true,"links":["https://www.linkedin.com/in/callrahul/"],"avatar":"https://gravatar.com/avatar/b6cf57822463143589b36ada06fbf6cb1509223a740fae3160b28f1ce41ccc12?r=pg&d=retro&size=200"},"nodes":[{"id":47,"icon":"file:webhook.svg","name":"n8n-nodes-base.webhook","codex":{"data":{"alias":["HTTP","API","Build","WH"],"resources":{"generic":[{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/","icon":"🔗","label":"How to build a 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