Automate assignment grading with GPT-4-Turbo and multi-format reports
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Extract Text from Test Paper (Extract from File): extracts data from a file (to text)
- Prepare Assignment Data (Edit Fields (Set)): sets 3 fields: studentName, assignmentTitle, testPaperText
- Load Answer Script (Edit Fields (Set)): sets 1 field: answerScript
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Generate Results Table (Code): runs custom JavaScript code
- Convert to HTML File (Convert to File): converts data to a file (text)
- Prepare CSV Data (Edit Fields (Set)): sets 1 field: data
- Format Response (Edit Fields (Set)): sets 4 fields: status, message, results…
- Convert to CSV File (Convert to File): converts data to a file (text)
- Respond to Webhook: sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent - Grade Assignment (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent - Grade Assignment (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- Webhook
n8n-nodes-base.webhook - Extract from File
n8n-nodes-base.extractFromFile - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Code
n8n-nodes-base.code - Convert to File
n8n-nodes-base.convertToFile - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Introduction Automates AI-driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results. How It Works Webhook receives papers, extracts text, prepares data, loads answers, AI…