Run a human-approved shopping assistant with GPT-4.1-mini, product APIs and Slack
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 18 nodes and runs when a chat message arrives (plus 1 other trigger). Along the way it connects HTTP Request, OpenAI Chat Model and Slack.
How it runs
Trigger: When a chat message arrives (plus 1 other trigger).
- Set - Config (Edit Fields (Set)): sets 8 fields: apiBaseUrl, orderApiBaseUrl, currency…
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Http Request Tool); memory: Window Buffer Memory
- JS - Parse Agent Output & Build Shortlist (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Wait: pauses before continuing
- Set - Direct Answer Response (Edit Fields (Set)): sets 1 field: finalMessage
- If: checks a condition and branches into true / false
- Wait: pauses before continuing
- If: checks a condition and branches into true / false
- HTTP Request: calls an HTTP API (POST)
…plus 3 more steps. See the full node list below.
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 - Shopping Assistant (v1.6): 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 - Shopping Assistant (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (12)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Http Request Tool
n8n-nodes-base.httpRequestTool - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Wait
n8n-nodes-base.wait - HTTP Request
n8n-nodes-base.httpRequest - Slack
n8n-nodes-base.slack
From the author
Quick overview This workflow powers a chat-based shopping assistant using OpenAI for conversation, an HTTP product-catalog search API for live item data, and a checkout/order API to place orders with explicit user approval, then posts the final order status…