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Chatbot AI

14 nodes · httpRequest, agent, lmChatAzureOpenAi, webhook

Engine
n8n
Nodes
14
Trigger
scheduled/triggered
Source file
1868_HTTP_Stickynote_Automate_Webhook.json

Workflow flow

IntegrationsHTTPAgentLmChatAzureOpenAiWebhook@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.lmChatAzureOpenAiIFSet
100%

Azure OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatAzureOpenAi

TRIGGER

Line Chatbot

Webhook

Loading Animation

HTTP

Check Message Type IsText?

IF

ReplyMessage - Not supported

HTTP

AI Agent

@n8n/n8n-nodes-langchain.agent

Format Reply

Set

ReplyMessage - Line

HTTP

8 steps · flows top to bottom, branches left to right

Browse by integration

httpRequestagentlmChatAzureOpenAiwebhook
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: Chatbot AI. 14 nodes across httpRequest, agent, lmChatAzureOpenAi, webhook, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "Chatbot AI" chains 14 nodes to move data between httpRequest, agent, lmChatAzureOpenAi, webhook. 14 nodes · httpRequest, agent, lmChatAzureOpenAi, webhook A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 14-node flow from scratch.
  • Benchmark it against your current httpRequest integration to spot missing steps or redundant nodes.
  • Study how data moves from httpRequest to agent before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the httpRequest stack.

Example output

Imported into n8n, "Chatbot AI" exposes 14 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, agent, lmChatAzureOpenAi, webhook. Reconnect the httpRequest credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Chatbot AI" JSON into a plain-English runbook, node by node. It can flag where httpRequest rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for httpRequest, agent, lmChatAzureOpenAi, webhook. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Chatbot AI" — extract httpRequest IDs and secrets into environment variables without changing the 14-node structure.

Frequently asked questions

How do I import "Chatbot AI" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Chatbot AI" use?
It uses: httpRequest, agent, lmChatAzureOpenAi, webhook. The flow diagram above shows how each service connects across the 14 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own httpRequest and agent credentials in n8n after import.
What trigger type does "Chatbot AI" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Chatbot AI" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for httpRequest, agent, lmChatAzureOpenAi, webhook.

Related resources