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AI chatbot call center: demo call back (production-ready, part 6)

n8nn8n29 modulesv1.0
WhatsAppTelegramGitHub

Workflow Name: đź’¬ Demo Call Back Template was created in n8n v1.90.2 Skill Level: High Categories: n8n, Chatbot Stacks - Execute Sub-workflow Trigger node - Chat Trigger node - Redis node - Postgres node - Telegram node - HTTP Request node - If node, Code node, Edit Fields (Set) Prerequisite - Execute Sub-workflow Trigger: your own node - MiniMax Account ( Production Features - Scaling Design for n8n Queue mode in production environment - Optional Provider Data from external Database with Caching

At a glance

AI chatbot call center: demo call back (production-ready, part 6) is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects WhatsApp, Telegram, GitHub. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
WhatsApp, Telegram, GitHub
Modules
29
Price
Free
Version
v1.0

About this workflow

Workflow Name: 💬 Demo Call Back Template was created in n8n v1.90.2 Skill Level: High Categories: n8n, Chatbot Stacks - Execute Sub-workflow Trigger node - Chat Trigger node - Redis node - Postgres node - Telegram node - HTTP Request node - If node, Code node, Edit Fields (Set) Prerequisite - Execute Sub-workflow Trigger: your own node - MiniMax Account ( Production Features - Scaling Design for n8n Queue mode in production environment - Optional Provider Data from external Database with Caching Mechanism. - Optional AI Clone Voice Message response via MiniMax API with Multi-Languages support. - Optional Backup Chat Log to Database, so you can use in APP/API building. - Testing Flow with or without dependance on other workflow. - Multi Chatbot (This is a demo for Telegram, you can add WhatsApp, Line, etc) - Error Management What this workflow does? This is a n8n Telegram Output Workflow. It will receive message from other Sub-workflow then output to Telegram for Message, or Replay Message and extra Voice Message. How it works - The Flow Trigger node will wait for the message from other Sub-workflow. - When message is received, it will first check for the matching Provider from the PostgreSQL database. - Then determine if it is a Voice message to Text message. - OPTIONAL. For voice message, use the MiniMax API to generate a voice message, then send it to Telegram. - Finally, send the text to Telegram. Set up instructions 1. Pull and Set up the required SQL from our Github repository. 2. Create you Redis credentials, refer to n8n integration documentation for more information. 3. Select your Credentials in Provider Cache and Save Provider Cache. 4. Create you Postgres credentials, refer to n8n integration documentation for more information. 5. Select your Credentials in Load Member Data, Create Chat Log Input, and Create Chat Log Output. 6. Create you Telegram credentials, refer to n8n integration documentation for more information. 7. Select your Credentials in Telegram Voice Output, Telegram Reply Output, and Telegram Output. AI Clone Voice setup instructions (Optional) You can clone any voice with MiniMax 1. Go to and create a MiniMax account 2. Setup the Database with the required variables found in the MiniMax TTS node 3. That’s it How to adjust it to your needs 1. By default, this template will use the sysprovider table provider information, you could change it for your own design. 2. The demo use MiniMax API for AI voice cloning, you could implement any other AI your choice. 3. The Backup Chat Log will backup all chat conversion line by line. You can use it for you own APP/API development.

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

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