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AI chatbot call center: Telegram call in (production-ready, part 1a)

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Important notice

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

1. Workflow Overview

Workflow Name: Telegram Call In Template was created in n8n v1.90.2 Skill Level: High Categories: n8n, Chatbot Stacks Chat Trigger node Telegram Trigger node Redis node Postgres node Execute Sub...

Best for

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

Tools used

n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.set, n8n-nodes-base.switch, n8n-nodes-base.telegram, n8n-nodes-base.extractfromfile, n8n-nodes-google-speech.googlespeech, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
AI chatbot call center: Telegram call in (production-ready, part 1a)
Workflow name
AI chatbot call center: Telegram call in (production-ready, part 1a)

Workflow Name: πŸ€™ Telegram Call In

Template was created in n8n v1.90.2

Skill Level: High

Categories: n8n, Chatbot

Stacks

  • Chat Trigger node
  • Telegram Trigger node
  • Redis node
  • Postgres node
  • Execute Sub-workflow
  • If node, Code node, Edit Fields (Set), Extract From File

Prerequisite

  • Community nodes: n8n-nodes-google-speech
  • Sub-workflow: Demo Call Back
  • Sub-workflow: Demo Call Center

Production Features

  • Scaling Design for n8n Queue mode in production environment
  • Optional Member Data from external Database with Caching Mechanism.
  • Optional Voice Message to Text Message via Google STT API with Multi-Languages support.
  • Testing Flow with or without dependance on other workflow.
  • Error Management

What this workflow does?

This is a n8n Telegram Call In Workflow. It will wait for message from Telegram bot and sent to the Call Center to process.

How it works

  • The Telegram Trigger node will wait for the message from the Telegram bot.
  • When message is received, it will first check for the matching Member from the PostgreSQL database.
  • Then determine if it is a Text message or Voice message.
  • For voice message, use the Google Speech to Text API to transcript it into text.
  • Finally, pass the text to the next flow, i.e. the Call Center.

Set up instructions

n8n-nodes-google-speech

  1. Pull and Set up the required SQL from our Github repository.
  2. Go User > Settings > Community nodes, install n8n-nodes-google-speech node
    1. Follow https://www.npmjs.com/package/n8n-nodes-google-speech
    2. Setup the Google STT node
  3. Create you Telegram credentials, refer to n8n integration documentation for more information.
  4. Select your Credentials in Telegram Trigger
  5. Create you Redis credentials, refer to n8n integration documentation for more information.
  6. Select your Credentials in Member Cache and Save Member Cache.
  7. Create you Postgres credentials, refer to n8n integration documentation for more information.
  8. Select your Credentials in Load Member Data.
  9. FOR TEST ONLY. Enable the Telegram Test Output for testing from the Test Input.
  10. Remember to activate this workflow for incoming message.

How to adjust it to your needs

  1. By default, this template will use the sys_member table for member information, you could change it for your own design.
  2. The demo implementation does not include failed member loading situation, you should implement based on your needs, e.g. if is_active is not true, do…
  3. You can replace the sub-workflow Demo Call Back and Demo Call Center to another flow as needs.

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 - Telegram Trigger

Type / Role
n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices
Version 1.2

Block 2 - Test Trigger

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.1

Block 3 - Test Input

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

Block 4 - Telegram Input

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

Block 5 - Type Switch

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

Block 6 - Download Audio

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 7 - Extract from File

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

Block 8 - Google STT

Type / Role
n8n-nodes-google-speech.googleSpeech - googleSpeech
Config choices
Version 1

Block 9 - Telegram Voice Input

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

Block 10 - Input

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

Block 11 - Sticky Note

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

Block 12 - If Telegram

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 13 - Sticky Note1

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

Block 14 - Sticky Note2

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

Block 15 - Sticky Note3

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

Block 16 - If Active

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 17 - Parse Service

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

Block 18 - Sticky Note4

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

Block 19 - Member Cache

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

Block 20 - If Member Cache

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 21 - Load Memer Data

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.6

Block 22 - Save Member Cache

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

Block 23 - Member

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

Block 24 - Switch

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

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

3. Summary Table

Workflow AI chatbot call center: Telegram call in (production-ready, part 1a)
Complexity advanced
Nodes 35
Categories Support Chatbot, Multimodal AI
Author ChatPayLabs
Published 14 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4044/4044.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does AI chatbot call center: Telegram call in (production-ready, part 1a) do?

Workflow Name: Telegram Call In Template was created in n8n v1.90.2 Skill Level: High Categories: n8n, Chatbot Stacks Chat Trigger node Telegram Trigger node Redis node Postgres node Execute Sub...

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, Multimodal AI use case.