Automate Proxmox VM Management with AI and n8n
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Leverage AI with Google Gemini and n8n to intelligently manage Proxmox virtual machines. This workflow uses Langchain nodes for AI interaction and HTTP Request nodes to interact with the Proxmox API for creating and configuring VMs.
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About This Workflow
Overview
This n8n workflow automates the management of Proxmox Virtual Environment (VE) using AI capabilities powered by Google Gemini and n8n's robust integration features. The core logic revolves around an AI model (Google Gemini Chat Model) that interprets user requests and translates them into specific Proxmox API calls. The workflow utilizes Langchain nodes for AI interaction, including tools to access Proxmox API documentation and existing Proxmox cluster status. Structured and auto-fixing output parsers are employed to ensure the AI's output is correctly formatted for subsequent API requests. Finally, HTTP Request nodes are used to send commands to the Proxmox API for actions like VM creation and configuration.
Key Features
- AI-powered Proxmox VM creation and configuration.
- Integration with Google Gemini for intelligent command interpretation.
- Utilizes Langchain tools to access Proxmox API documentation and cluster status.
- Structured and auto-fixing output parsers for reliable API call generation.
- Supports common HTTP methods (GET, POST, PUT, DELETE) for API interaction.
How To Use
- Set up n8n Credentials: Configure n8n credentials for Google Gemini API and Proxmox API (using API keys for authentication).
- Configure Triggers: Choose and set up your desired trigger node (e.g., 'When chat message received', 'Telegram Trigger', 'Gmail Trigger', 'Webhook') to initiate the workflow.
- Connect AI Nodes: Link the trigger to the 'Google Gemini Chat Model' and 'Structured Output Parser' nodes. Ensure the model name and credentials are correctly set.
- Integrate Proxmox Tools: Connect 'Proxmox API Documentation' and 'Proxmox' (for cluster status) Langchain tool nodes to provide the AI with necessary context.
- Define API Interactions: Use the 'HTTP Request' nodes to send commands to the Proxmox API. Configure the URL, method, and JSON body based on the structured output from the AI.
- Test and Refine: Thoroughly test the workflow with various natural language prompts to ensure accurate AI interpretation and successful Proxmox API interactions.
Apps Used
Workflow JSON
{
"id": "bd3407e8-66d8-426c-aa32-86f194873afb",
"name": "Automate Proxmox VM Management with AI and n8n",
"nodes": 0,
"category": "AI & LLMs",
"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: bd3407e8-66d8...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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