How do I import "Use any LLM-Model via OpenRouter" 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 "Use any LLM-Model via OpenRouter" use?

It uses: chat, agent, memoryBufferWindow, lmChatOpenAi. The flow diagram above shows how each service connects across the 8 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 chat and agent credentials in n8n after import.

What trigger type does "Use any LLM-Model via OpenRouter" 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 "Use any LLM-Model via OpenRouter" 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 chat, agent, memoryBufferWindow, lmChatOpenAi.

← Workflows

Use any LLM-Model via OpenRouter

8 nodes · chat, agent, memoryBufferWindow, lmChatOpenAi

Engine: n8n
Nodes: 8
Trigger: scheduled/triggered
Source file: 1719_Stickynote_Automation_Triggered.json

Workflow flow

IntegrationsChatAgentMemoryBufferWindowLmChatOpenAiSet@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.memoryBufferWindow@n8n/n8n-nodes-langchain.lmChatOpenAi

100%

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Chat Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

LLM Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Settings

Set

AI Agent

@n8n/n8n-nodes-langchain.agent

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

Browse by integration

chat agent memoryBufferWindow lmChatOpenAi

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
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

Use any LLM-Model via OpenRouter is a free n8n workflow on OpenRuna — 8 nodes connecting chat, agent, memoryBufferWindow, lmChatOpenAi. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"Use any LLM-Model via OpenRouter" is an n8n automation built from 8 nodes spanning chat, agent, memoryBufferWindow, lmChatOpenAi. 8 nodes · chat, agent, memoryBufferWindow, lmChatOpenAi It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Benchmark it against your current chat integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 8-node flow from scratch.
Use it as a starting template when wiring chat, agent, memoryBufferWindow, lmChatOpenAi — adjust node parameters to your accounts and record IDs.
Import "Use any LLM-Model via OpenRouter" into n8n, reconnect credentials for chat, agent, memoryBufferWindow, lmChatOpenAi, and run the same automation in your own workspace.

Example output

Imported into n8n, "Use any LLM-Model via OpenRouter" exposes 8 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, agent, memoryBufferWindow, lmChatOpenAi. Open each node after import to map credentials to your own chat and agent accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Use any LLM-Model via OpenRouter" into Claude and ask it to explain each of the 8 nodes. Claude is good at suggesting credential mappings for chat, agent, memoryBufferWindow, lmChatOpenAi, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Use any LLM-Model via OpenRouter" to your accounts — which chat, agent, memoryBufferWindow, lmChatOpenAi credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 8 nodes.

Frequently asked questions

How do I import "Use any LLM-Model via OpenRouter" 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 "Use any LLM-Model via OpenRouter" use?: It uses: chat, agent, memoryBufferWindow, lmChatOpenAi. The flow diagram above shows how each service connects across the 8 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 chat and agent credentials in n8n after import.
What trigger type does "Use any LLM-Model via OpenRouter" 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 "Use any LLM-Model via OpenRouter" 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 chat, agent, memoryBufferWindow, lmChatOpenAi.