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iam-veeramalla/ai-devops-kubernetes-agent
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Based on the ai-devops-kubernetes-agent design, help me implement the data collector layer that pulls pod logs, events, and deployment status from a Kubernetes cluster using the kubectl API.
Design the LLM prompt for the ai-devops-kubernetes-agent that takes raw Kubernetes diagnostic data and returns a JSON object with root_cause, confidence, and remediation_steps fields.
How should I structure the InsForge backend service for ai-devops-kubernetes-agent to stream investigation progress updates to the frontend using WebSockets?
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