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Testing Mulitple Local LLM with LM Studio

21 nodes · httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut

Engine
n8n
Nodes
21
Trigger
scheduled/triggered
Source file
1755_Datetime_Code_Automation_Webhook.json

Workflow flow

IntegrationsHTTPChatDateTimeLmChatOpenAiGoogle SheetsSplit OutChainLlm@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.lmChatOpenAiCodeSet@n8n/n8n-nodes-langchain.chainLlm
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Run Model with Dunamic Inputs

@n8n/n8n-nodes-langchain.lmChatOpenAi

Get Models

HTTP

Extract Model IDsto Run Separately

Split Out

Capture Start Time

DateTime

Add System Prompt

Set

LLM Response Analysis

@n8n/n8n-nodes-langchain.chainLlm

Capture End Time

DateTime

Get timeDifference

DateTime

Prepare Data for Analysis

Set

Analyze LLM Response Metrics

Code

Save Results to Google Sheets

Google Sheets

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

Browse by integration

httpRequestchatdateTimelmChatOpenAigoogleSheetssplitOutchainLlm
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

Testing Mulitple Local LLM with LM Studio (21-node n8n automation, httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Testing Mulitple Local LLM with LM Studio" is an n8n automation built from 21 nodes spanning httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm. 21 nodes · httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. 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 httpRequest integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 21-node flow from scratch.
  • Use it as a starting template when wiring httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm — adjust node parameters to your accounts and record IDs.
  • Import "Testing Mulitple Local LLM with LM Studio" into n8n, reconnect credentials for httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm, and run the same automation in your own workspace.

Example output

Imported into n8n, "Testing Mulitple Local LLM with LM Studio" exposes 21 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm. Set your credentials on the httpRequest 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 "Testing Mulitple Local LLM with LM Studio" into Claude and ask it to explain each of the 21 nodes. Claude is good at suggesting credential mappings for httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Testing Mulitple Local LLM with LM Studio" to your accounts — which httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, 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 21 nodes.

Frequently asked questions

How do I import "Testing Mulitple Local LLM with LM Studio" 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 "Testing Mulitple Local LLM with LM Studio" use?
It uses: httpRequest, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm. The flow diagram above shows how each service connects across the 21 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 chat credentials in n8n after import.
What trigger type does "Testing Mulitple Local LLM with LM Studio" 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 "Testing Mulitple Local LLM with LM Studio" 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, chat, dateTime, lmChatOpenAi, googleSheets, splitOut, chainLlm.

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