Templates / Automating WhatsApp replies using Go High Level with Redis and Anthropic

Automating WhatsApp replies using Go High Level with Redis and Anthropic

Needs changes

by Jorge Martínez ✓ · 1,171 views · created 2025-08-09 · AI Chatbot, Multimodal AI

Needs 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 25 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Anthropic Chat Model, Redis and Google Drive. It also calls rest.gohighlevel.com over HTTP.

How it runs

Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).

  1. Switch: routes items into 2 branches
  2. Download file (Google Drive): download
  3. Sanitize and Format Message Body (Code): runs custom JavaScript code
  4. Get GHL Custom fields (HTTP Request): calls rest.gohighlevel.com
  5. Extract Tests (Extract from File): extracts data from a file (xlsx)
  6. Extract Sites (Extract from File): extracts data from a file (xlsx)
  7. Save message (Redis): push
  8. Update Contact No audio (HTTP Request): calls an HTTP API (PUT)
  9. Merge: merges the data from its input branches
  10. Wait: waits 15 seconds

…plus 9 more steps. See the full node list below.

Services it uses

Anthropic Chat ModelRedisGoogle Drive

HTTP calls to: rest.gohighlevel.com

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 (v1.7): 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 3.0Replace with
AI Agent v1 (old agent modes)
AI 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 (17)

From the author

Automating WhatsApp replies in Go High Level with Redis and Anthropic Description Integrates GHL + Wazzap with Redis and an AI Agent using ClientInfo to process messages, generate accurate replies, and send them via a custom field trigger. --- Who’s it for…

Excerpt from Jorge Martínez's description on n8n.io.

View the original on n8n.io → Check your own copy

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