How do I import "LLM Chaining examples" 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 "LLM Chaining examples" use?

It uses: manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm. The flow diagram above shows how each service connects across the 38 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 manual and httpRequest credentials in n8n after import.

What trigger type does "LLM Chaining examples" 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 "LLM Chaining examples" 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 manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm.

← Workflows

LLM Chaining examples

38 nodes · manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager

Engine: n8n
Nodes: 38
Trigger: scheduled/triggered
Source file: 0958_Splitout_Webhook_Automation_Webhook.json

Workflow flow

IntegrationsManualHTTPMarkdownLmChatAnthropicMemoryBufferWindowMemoryManagerSplit OutChainLlmWebhookAgent@n8n/n8n-nodes-langchain.lmChatAnthropicMerge+6 more

Integration path in execution order (sticky notes and duplicate steps omitted)

ManualHTTPMarkdown@n8n/n8n-nodes-langchain.lmChatAnthropicMerge@n8n/n8n-nodes-langchain.memoryBufferWindow@n8n/n8n-nodes-langchain.memoryManagerSetSplit Out@n8n/n8n-nodes-langchain.chainLlmWebhookNoOp@n8n/n8n-nodes-langchain.agent

31 steps · use Full diagram for every node

Browse by integration

manual httpRequest markdown lmChatAnthropic memoryBufferWindow memoryManager splitOut chainLlm webhook agent

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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

LLM Chaining examples is a free n8n workflow on OpenRuna — 38 nodes connecting manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"LLM Chaining examples" automates a manual-to-httpRequest flow in n8n across 38 nodes. 38 nodes · manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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

Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
Study how data moves from manual to httpRequest before building your own variant.
Use it as a starting template when wiring manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm — adjust node parameters to your accounts and record IDs.
Import "LLM Chaining examples" into n8n, reconnect credentials for manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm, and run the same automation in your own workspace.

Example output

Imported into n8n, "LLM Chaining examples" exposes 38 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm. Set your credentials on the manual node, then verify each downstream node picks them up. 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 "LLM Chaining examples" into Claude and ask it to explain each of the 38 nodes. Claude is good at suggesting credential mappings for manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "LLM Chaining examples" to your accounts — which manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm 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 38 nodes.

Frequently asked questions

How do I import "LLM Chaining examples" 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 "LLM Chaining examples" use?: It uses: manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm. The flow diagram above shows how each service connects across the 38 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 manual and httpRequest credentials in n8n after import.
What trigger type does "LLM Chaining examples" 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 "LLM Chaining examples" 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 manual, httpRequest, markdown, lmChatAnthropic, memoryBufferWindow, memoryManager, splitOut, chainLlm.