Review workflow JSON for risks and best practices with Groq (Llama 3.3)
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Groq Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Validate Workflow Data (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Risk Assessment Agent (AI Agent): runs an AI agent, with model: Groq Analysis Chat Model; output parser: Parse Structured Output
- Generate Error Response (Code): runs custom JavaScript code
- Send Analysis Response (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - If
n8n-nodes-base.if
From the author
Quick overview This workflow exposes a webhook that accepts an exported n8n workflow JSON, runs static validation and risk checks, then uses Groq (Llama 3.3 70B) via an AI agent to return a structured JSON review with metrics, risks, and best-practice…