Evaluation metric example: categorization
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 10 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects OpenAI Chat Model and Evaluation.
How it runs
Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Match webhook format (Edit Fields (Set)): sets or maps fields
- Evaluating? (Evaluation): check if evaluating
- Check categorization (Edit Fields (Set)): sets 2 fields: category_match, priority_match
- Respond to Webhook: sends the response back to the webhook caller
- Set metrics (Evaluation): set metrics
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 (v1.9): 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 (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Edit Fields (Set)
n8n-nodes-base.set - Webhook
n8n-nodes-base.webhook - Evaluation Trigger
n8n-nodes-base.evaluationTrigger - Respond to Webhook
n8n-nodes-base.respondToWebhook - Evaluation
n8n-nodes-base.evaluation
From the author
AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric…