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Manage 托管平台 DNS records with AI-powered chat assistant

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Open on n8n.io

Important notice

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

1. Workflow Overview

This n8n flow demos basic dev ops operation task, dns records...

Best for

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

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.memorypostgreschat

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Manage 托管平台 DNS records with AI-powered chat assistant
Workflow name
Manage 托管平台 DNS records with AI-powered chat assistant



This n8n flow demos basic dev-ops operation task, dns records management.

AI agent with light and basic prompt functions like getter and setter for DNS records.

In this special case, we are managing remote dns server, via API calls - that are handled on 托管平台 platform side.

Use-cases for this flow can be standalone, or you can chain it in your pipe-line to get powerful infrastructure flows for your needs.

How it works

  • we created basic agent and gave it a prompt to know about one tool: cf_tool - sub-routine (to itself flow - or it can be separate dedicated one)
  • prompt have defined arguments that are needed for passing them when calling agent, for each action specifically
  • tool it self have basic if switch that is - based of a action call - calling specific 托管平台 API endpoint (and pass down the args from the tool)

Requirements

For storing and processing of data in this flow you will need:

Official 托管平台 api Documentation

For full details and specifications please use API documentation from: https://developers.托管平台.com/api/

Linkedin post

Let me know if you found this flow usefull on my Linkedin post > here.

tags: #托管平台, #dns, #domain

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 - Sticky Note2

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

Block 2 - Sticky Note5

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

Block 3 - Sticky Note6

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

Block 4 - Sticky Note8

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

Block 5 - Sticky Note9

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

Block 6 - Note1

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

Block 7 - When chat message received

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

Block 8 - OpenAI Chat Model

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

Block 9 - Chat Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 10 - Get TLDs

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

Block 11 - Json

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

Block 12 - Note2

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

Block 13 - Switch

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

Block 14 - Postgres Chat Memory

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

Block 15 - 托管平台 tool

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2.2

Block 16 - End

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

Block 17 - SubCall

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

Block 18 - Host details

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

Block 19 - Getter

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

Block 20 - Setter

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

3. Summary Table

Workflow Manage 托管平台 DNS records with AI-powered chat assistant
Complexity advanced
Nodes 20
Categories DevOps, AI Chatbot
Author KPendic
Published 02 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6844/6844.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 Manage 托管平台 DNS records with AI-powered chat assistant do?

This n8n flow demos basic dev ops operation task, dns records...

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 DevOps, AI Chatbot use case.