Community Contributed: LLM via OpenRouter
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This workflow allows you to leverage various LLM models through OpenRouter, offering flexible AI model integration.
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About This Workflow
Overview
This workflow demonstrates how to use different Large Language Models (LLMs) by integrating with OpenRouter. It's designed to be flexible, allowing users to specify various models and handle chat inputs and memory.
Key Features
- Flexible LLM Selection: Utilize a wide range of LLM models available through OpenRouter by simply configuring the
modelparameter. - Dynamic Prompting: Allows for dynamic prompt generation based on chat inputs.
- Chat Memory: Integrates chat memory to maintain conversation context.
- Error Handling: Includes an error handler to gracefully manage workflow execution issues.
How To Use
- Import the workflow: Import this JSON into your n8n instance.
- Configure Credentials: Set up your OpenRouter API credentials in n8n.
- Set Model: In the 'Settings' node, specify the desired LLM model (e.g.,
deepseek/deepseek-r1-distill-llama-8b,openai/o3-mini). Refer to the 'Model examples' sticky note for suggestions. - Chat Input: Provide your chat input, either directly or via a trigger.
- Run the workflow: Execute the workflow to interact with your chosen LLM.
Apps Used
Workflow JSON
{
"id": "d8dcd1a8-88dd-43ca-96c4-2e175df3ac0d",
"name": "Community Contributed: LLM via OpenRouter",
"nodes": 0,
"category": "AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: d8dcd1a8-88dd...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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