AI Features

Kudashai's biggest selling point is its AI-Powered capabilities. We integrate Large Language Models (LLMs) into your daily Kubernetes management.

Supported Providers

Kudashai is flexibly compatible with various AI providers:

• OpenAI (GPT-4)
• Anthropic (Claude)
• Google (Gemini)
• DeepSeek
• Ollama (Local AI)
• LMStudio
• OpenRouter

AI Capabilities

On the Resource page, you can call upon the AI to perform:

1. Automated Troubleshooting: If a Pod fails (CrashLoopBackOff or OOMKilled), the AI will read the logs, analyze the status, suggest solutions, and even provide the corrected configuration code.
2. Config Optimization: You can ask the AI to review Security Context configurations, optimal Resource (CPU/Memory) limits, and Best Practices in your deployment specifications.
3. Multi-Cluster Diagnostic Scan: Through the AI Console, you can ask the AI to scan metrics and summarize the overall health status of all your clusters at once. Example command: "Provide a summary of error pods across all clusters". The AI will extract the information and present an aggregated summary neatly.

AI Chat Interface

Kudashai also features an integrated AI Chatbot space where you can naturally ask for cluster-related information or request manifest generation.

Interaction Example:

"Please create an NGINX Deployment with 3 replicas and expose port 80 via a NodePort Service."

Kudashai will generate the correct K8s configuration based on your request.

Privacy by Default: Because it supports Local AI (like Ollama), you can run AI models on-premise, keeping your cluster topology confidential with a zero cloud dependency scheme.