WhatsApp support assistant with GPT-4 Mini & Google Sheets data training
Needs changesWhat this workflow does
This AI workflow has 10 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects OpenAI Chat Model and Google Sheets.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- AI Agent: runs an AI agent, with model: OpenAI Model; 4 tools (Read Product Sheet, Read Service Sheet, Log Customer Issues, Read Company Basic Information); memory: Conversation Memory
- Code: runs custom JavaScript code
- Send Message Using HTTP Request (HTTP Request): calls an HTTP API
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 - Customer Support Agent (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 - Customer Support Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Google Sheets Tool
n8n-nodes-base.googleSheetsTool - Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest
From the author
WhatsApp AI HelpDesk – Smart SupportBot Using Trained Data & WasenderAPI Overview This n8n workflow enables automated AI-driven support replies via your personal WhatsApp number using WasenderAPI.com. The bot intelligently responds to user messages based on…