Top 1037 IT Ops automation workflows
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Use OpenRouter in n8n versions <1.78
Daniel Nolde
⋅a year ago⋅Free
What it is:
In version 1.78, n8n introduced a dedicated node to use the OpenRouter service, which lets you to use a lot of different LLM models and providers and change models on the fly in an agentic workflow.
For prior n8n versions, there's a workaround to make OpenRouter accessible, by using the OpenAI node with a OpenRouter-s...
- AI Agent
- OpenAI Chat Model
- Simple Memory
Demo Workflow - How to use workflowStaticData()
Ria
⋅a year ago⋅Free
This workflow demonstrates how to use the workflowStaticData() function to set any type of variable that will persist within workflow executions.
https://docs.n8n.io/code/cookbook/builtin/get-workflow-static-data/
This can be useful for example when working with access tokens that expire after a certain time period. Using static...
- HTTP Request
- Code
Use an open-source LLM (via HuggingFace)
n8n Team
⋅2 years ago⋅Free
This workflow demonstrates how to connect an open-source model to a Basic LLM node.
The workflow is triggered when a new manual chat message appears. The message is then run through a Language Model Chain that is set up to process text with a specific prompt to guide the model's responses.
Note that open-source LLMs with a small ...
- Basic LLM Chain
- Hugging Face Inference Model
Use any LangChain module in n8n (with the LangChain code node)
David Roberts
⋅2 years ago⋅Free
LangChain is a framework for building AI functionality that users large language models. By leveraging the functionality of LangChain, you can write even more powerful workflows.
This workflow shows how you can write LangChain code within n8n, including importing LangChain modules.
The workflow itself produces a summary of a You...
- LangChain Code
- OpenAI Chat Model
Force AI to use a specific output format
n8n Team
⋅3 years ago⋅Free
This workflow is for anyone looking to automatically fetch, validate, and parse complex language-based queries into a structured format. Its unique capability lies in not only processing language but also fixing invalid outputs before structuring them.
Note that to use this template, you need to be on n8n version 1.19.4 or later.
- Basic LLM Chain
- OpenAI Chat Model
- Auto-fixing Output Parser
- +1
Use Redis to rate-limit your low-code API
Harshil Agrawal
⋅5 years ago⋅Free
This workflow demonstrates how to can use Redis to implement rate limits to your API.
The workflow uses the incoming API key to uniquely identify the user and use it as a key in Redis. Every time a request is made, the value is incremented by one, and we check for the threshold using the IF node.
Duplicate the following Airtabl...
- Airtable
- Redis
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