AI chat agent: Dumpling AI + GPT-4o to auto-save local business data to Airtable
Needs changesNeeds changes. This template uses 2 thing(s) that n8n 3.0 removes: HTTP Request Tool (legacy), AI Agent v1 (old agent modes). 2 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 7 nodes and runs when a chat message arrives. Along the way it connects HTTP Request, OpenAI Chat Model and Airtable. It also calls app.dumplingai.com over HTTP.
How it runs
Trigger: When a chat message arrives.
- Route AI Tasks with Dumpling + GPT + Memory (AI Agent): runs an AI agent, with model: Process Input with GPT-4o Mini; 3 tools (News Agent, Save Business Results, Local Business Finder Agent); memory: Track Last 10 Messages
Services it uses
HTTP calls to: app.dumplingai.com
Before you upgrade to n8n 3.0
2 things in this workflow are removed in n8n 3.0. Fix them before you upgrade:
- HTTP Request Tool (legacy) in News Agent, Local Business Finder Agent: replace with HTTP Request node connected to the AI Agent's Tool input.
- AI Agent v1 (old agent modes) in Route AI Tasks with Dumpling + GPT + Memory (v1.8): 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 |
|---|---|
| HTTP Request Tool (legacy) News Agent, Local Business Finder Agent | HTTP Request node connected to the AI Agent's Tool input |
| AI Agent v1 (old agent modes) Route AI Tasks with Dumpling + GPT + Memory (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - HTTP Request Tool
@n8n/n8n-nodes-langchain.toolHttpRequest - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Airtable Tool
n8n-nodes-base.airtableTool
From the author
Who is this for? This workflow is for digital marketers, small business owners, lead generation agencies, and VAs who need a scalable way to find and store local business leads using AI. It’s especially useful for teams that want to enrich leads with…