Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer
Ready for 3.0What this workflow does
This AI workflow has 27 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI, OpenAI Chat Model and Redis. It also calls wasenderapi.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Set fields (Edit Fields (Set)): sets 12 fields: message.message_id, message.chat_id, url…
- Redis: push
- Redis: get
- Switch: routes items into 2 branches
- Redis: delete
- Wait: waits 7 seconds
- Split Out: splits a list into separate items
- Code: runs custom JavaScript code
- Switch: routes items into 3 branches
- Text Content (Edit Fields (Set)): sets 2 fields: content, timestamp
…plus 13 more steps. See the full node list below.
Services it uses
HTTP calls to: wasenderapi.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (15)
- AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Wait
n8n-nodes-base.wait - No Operation, do nothing
n8n-nodes-base.noOp - Switch
n8n-nodes-base.switch - OpenAI
@n8n/n8n-nodes-langchain.openAi - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Split Out
n8n-nodes-base.splitOut - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Aggregate
n8n-nodes-base.aggregate - Merge
n8n-nodes-base.merge - Redis
n8n-nodes-base.redis - Manual Trigger
n8n-nodes-base.manualTrigger
From the author
👥 Who's it for This workflow is perfect for businesses or individuals who want to automate WhatsApp conversations 💬 with an intelligent AI chatbot that can handle text, voice notes 🎵, and images 🖼️. No advanced coding required! 🤖 What it does It…