Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.wait, n8n-nodes-base.noop, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.set, n8n-nodes-base.code

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jose Bossa.

Original n8n.io source

1.1 Workflow description

Title: Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer
Workflow name: Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer

👥 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 automatically receives WhatsApp messages through WasenderAPI, intelligently buffers consecutive messages to avoid fragmented responses, processes multimedia content (transcribing audio and analyzing images with AI), and responds naturally using GPT-4o mini with conversation memory. All while protecting your WhatsApp account from being banned. ⚙️ How it works

📱 Webhook Trigger – Receives new messages from WasenderAPI 🗃️ Redis Buffer System – Groups consecutive messages intelligently (7-second window) 🔀 Content Classifier – Routes messages by type (text, audio, or image) 🎵 Audio Processing – Decrypts and transcribes voice notes using OpenAI Whisper 🖼️ Image Analysis – Decrypts and analyzes images with GPT-4O Vision 🧠 AI Agent (GPT-4o mini) – Generates intelligent responses with 10-message memory ⏱️ Anti-Ban Wait – 6-second delay to simulate human typing 📤 Message Sender – Delivers response back to WhatsApp user

📋 Requirements

WasenderAPI account with connected WhatsApp number : https://wasenderapi.com/

Redis database (free tier works fine) OpenAI API key with access to GPT-4o mini and Whisper n8n's AI Agent, LangChain, and Redis nodes

🛠️ How to set up

Create your WasenderAPI account and connect a WhatsApp number Set up a free Redis database and get connection credentials Configure OpenAI API key in n8n credentials Replace the WasenderAPI Bearer token in "Get the audio", "Get the photo", and "Send Message to User" nodes Change the Manual Trigger to a Webhook and configure it in WasenderAPI Customize the AI Agent prompt to match your business needs Adjust wait times if needed (default: 6 seconds for responses, 7 seconds for buffer) Save and activate the workflow ✅

🎨 How to customize

Modify the AI Agent prompt to change bot personality and instructions Adjust buffer wait time (7 seconds) for faster/slower message grouping Change response delay (6 seconds) based on your use case , its recomendable 30 seconds. Add more content types (documents, videos) by extending the Switch Type node Configure conversation memory window (default: 10 messages)

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

Block 2 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 3 - Wait3

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 4 - No Operation, do nothing3

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 5 - Switch Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 6 - Transcribe a recording

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 7 - Audio Content

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Analyze image

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 9 - Image Content

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Text Content

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 11 - Chat Input

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 13 - Code in JavaScript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Send Message to User

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - Get the audio

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 16 - Download the audio

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 18 - Get the photo

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 19 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 20 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 21 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 22 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 23 - Redis

Type / Role: n8n-nodes-base.redis - redis
Config choices: Version 1

Block 24 - Redis1

Type / Role: n8n-nodes-base.redis - redis
Config choices: Version 1

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer
Complexity	advanced
Nodes	35
Categories	Support Chatbot, AI Chatbot
Author	Jose Bossa
Published	09 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9440/9440.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Jose Bossa

3 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.wait n8n-nodes-base.noop n8n-nodes-base.switch @n8n/n8n-nodes-langchain.openai n8n-nodes-base.set n8n-nodes-base.code

Complexity

advanced

Published 09 Oct 2025

Likes 0

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Install path: /data/workflows/9440/9440.json

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Create a WhatsApp chatbot with GPT-4o, Whisper transcription and Redis buffer

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - Simple Memory

Block 3 - Wait3

Block 4 - No Operation, do nothing3

Block 5 - Switch Type

Block 6 - Transcribe a recording

Block 7 - Audio Content

Block 8 - Analyze image

Block 9 - Image Content

Block 10 - Text Content

Block 11 - Chat Input

Block 12 - Switch

Block 13 - Code in JavaScript

Block 14 - Send Message to User

Block 15 - Get the audio

Block 16 - Download the audio

Block 17 - Split Out

Block 18 - Get the photo

Block 19 - OpenAI Chat Model

Block 20 - Wait

Block 21 - Aggregate

Block 22 - Merge

Block 23 - Redis

Block 24 - Redis1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions