Kubernetes AI Ops Agent
AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol (MCP) servers for executing K8s operations through conversational interfaces.
Overview
What is Kubernetes AI Ops Agent?
Kubernetes AI Ops Agent is an AI-powered assistant designed to facilitate natural language interactions with Kubernetes clusters, simplifying DevOps workflows through the use of Model Context Protocol (MCP) servers.
How to use Kubernetes AI Ops Agent?
To use the Kubernetes AI Ops Agent, clone the repository, install the necessary dependencies, configure your Kubernetes access, and run the application using Chainlit. You can also deploy it using Helm charts for a more robust setup.
Key features of Kubernetes AI Ops Agent?
- 🤖 AI-Powered Assistance: Interact with Kubernetes clusters using natural language commands.
- 🧰 Tool Integration: Execute Kubernetes operations through specialized tools.
- 🚀 Deployment Ready: Comes packaged with Docker and Helm charts for easy deployment.
- 📊 Web Interface: Built with Chainlit for an interactive chat experience.
Use cases of Kubernetes AI Ops Agent?
- Managing Kubernetes clusters through conversational commands.
- Troubleshooting issues in Kubernetes pods using natural language queries.
- Monitoring cluster performance and metrics via integrated Prometheus support.
FAQ from Kubernetes AI Ops Agent?
- Can I use Kubernetes AI Ops Agent with any Kubernetes cluster?
Yes! As long as you have access to a Kubernetes cluster, you can use the agent.
- Is there a cost associated with using Kubernetes AI Ops Agent?
The project is open-source and free to use under the MIT License.
- What programming languages are used in this project?
The project is primarily developed in Python.
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