YogiAI
31 nodes · lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool
- Engine
- n8n
- Nodes
- 31
- Trigger
- scheduled/triggered
- Source file
- 0740_Splitout_Code_Automation_Webhook.json
Workflow flow
Azure OpenAI Chat Model2
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Azure OpenAI Chat Model3
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing
Azure OpenAI Chat Model1
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
PosesDatabase1
GoogleSheetsTool
Trigger 2130 YogaPosesToday
Schedule
Azure OpenAI Chat Model5
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Azure OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Structured Output Parser1
@n8n/n8n-nodes-langchain.outputParserStructured
Auto-fixing Output Parser1
@n8n/n8n-nodes-langchain.outputParserAutofixing
Azure OpenAI Chat Model6
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Azure OpenAI Chat Model4
@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Get PoseName
Google Sheets
Code
Code
WriteJSONflex
@n8n/n8n-nodes-langchain.chainLlm
WritePosesToday
@n8n/n8n-nodes-langchain.chainLlm
RewritePosesToday
@n8n/n8n-nodes-langchain.chainLlm
CombineAll
Set
Fix JSON
@n8n/n8n-nodes-langchain.chainLlm
Line Push with Flex Bubble
HTTP
YogaLog
Google Sheets
AI Agent
@n8n/n8n-nodes-langchain.agent
Split Out
Split Out
YogaLog2
Google Sheets
25 steps · flows top to bottom, branches left to right
Browse by integration
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.
Overview
YogiAI is a free n8n workflow on OpenRuna — 31 nodes connecting lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
This n8n workflow, "YogiAI", wires together lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule in 31 nodes. 31 nodes · lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool Execution begins at the scheduled/triggered trigger and flows through the 31 configured nodes. 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
- Fork it to add error handling, retries, or a notification step without designing the 31-node flow from scratch.
- Benchmark it against your current lmChatAzureOpenAi integration to spot missing steps or redundant nodes.
- Import "YogiAI" into n8n, reconnect credentials for lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule, and run the same automation in your own workspace.
- Use it as a starting template when wiring lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule — adjust node parameters to your accounts and record IDs.
Example output
Imported into n8n, "YogiAI" exposes 31 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule. Reconnect the lmChatAzureOpenAi 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 "YogiAI" JSON into a plain-English runbook, node by node. It can flag where lmChatAzureOpenAi 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 lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "YogiAI" — extract lmChatAzureOpenAi IDs and secrets into environment variables without changing the 31-node structure.
Frequently asked questions
- How do I import "YogiAI" 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 "YogiAI" use?
- It uses: lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule. The flow diagram above shows how each service connects across the 31 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 lmChatAzureOpenAi and googleSheets credentials in n8n after import.
- What trigger type does "YogiAI" 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 "YogiAI" 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 lmChatAzureOpenAi, googleSheets, outputParserAutofixing, outputParserStructured, agent, googleSheetsTool, splitOut, schedule.
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