apiVersion: kagent.dev/v1alpha1
kind: Agent
metadata:
  name: kubernetes-expert
spec:
  # System prompt (defines Agent's role)
  systemPrompt: |
    You are a Kubernetes expert specializing in troubleshooting.
    You help diagnose issues, analyze logs, and suggest fixes.
  
  # LLM configuration
  modelConfig:
    name: gpt-4
    provider: openai
  
  # Available tools
  tools:
    - name: kubectl-tools
    - name: prometheus-tools
  
  # Can collaborate with other Agents
  agents:
    - name: helm-agent

# k8s-expert-agent.yaml
apiVersion: kagent.dev/v1alpha1
kind: Agent
metadata:
  name: k8s-expert
  namespace: kagent-system
spec:
  description: "Kubernetes troubleshooting expert"
  
  systemPrompt: |
    You are KubeExpert, a Kubernetes specialist.
    Your role is to help diagnose and resolve Kubernetes issues.
    
    When analyzing problems:
    1. Check pod status first
    2. Review logs for errors
    3. Verify service connectivity
    4. Check resource constraints
    5. Suggest actionable fixes
    
    Always explain your reasoning and provide clear solutions.
  
  modelConfig:
    name: gpt-4
    provider: openai
    temperature: 0.3  # Lower temperature = more consistent answers
  
  tools:
    - name: kubectl
      type: kubernetes
      permissions:
        - get
        - list
        - describe
      resources:
        - pods
        - services
        - deployments
        - events
    
    - name: logs
      type: kubernetes
      permissions:
        - logs

# ollama-deployment.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: ollama

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: ollama
  namespace: ollama
spec:
  replicas: 1
  selector:
    matchLabels:
      app: ollama
  template:
    metadata:
      labels:
        app: ollama
    spec:
      initContainers:
      - name: model-puller
        image: ollama/ollama:latest
        command: ["/bin/sh", "-c"]
        args:
        - |
          ollama serve &
          sleep 10
          ollama pull llama3.2:3b
          pkill ollama
        volumeMounts:
        - name: ollama-data
          mountPath: /root/.ollama
        resources:
          requests:
            memory: "4Gi"
            cpu: "2"
          limits:
            memory: "8Gi"
            cpu: "4"
      
      containers:
      - name: ollama
        image: ollama/ollama:latest
        ports:
        - name: http
          containerPort: 11434
        volumeMounts:
        - name: ollama-data
          mountPath: /root/.ollama
        resources:
          requests:
            memory: "4Gi"
            cpu: "2"
          limits:
            memory: "8Gi"
            cpu: "4"
      
      volumes:
      - name: ollama-data
        emptyDir: {}

---
apiVersion: v1
kind: Service
metadata:
  name: ollama
  namespace: ollama
spec:
  type: ClusterIP
  selector:
    app: ollama
  ports:
  - port: 80
    targetPort: http

# ollama-modelconfig.yaml
apiVersion: kagent.dev/v1alpha2
kind: ModelConfig
metadata:
  name: llama3-local
  namespace: kagent
spec:
  model: llama3.2:3b
  provider: Ollama
  ollama:
    host: http://ollama.ollama.svc.cluster.local:80

# deployment-coordinator.yaml
apiVersion: kagent.dev/v1alpha1
kind: Agent
metadata:
  name: deployment-coordinator
  namespace: kagent-system
spec:
  description: "Coordinates deployment and monitoring setup"
  
  systemPrompt: |
    You coordinate between helm-agent and prometheus-agent to:
    1. Deploy applications via Helm
    2. Verify deployment success
    3. Setup monitoring and alerts
    4. Run smoke tests
  
  # Can call other Agents
  agents:
    - name: helm-agent
      role: deployment
    - name: metrics-analyzer  
      role: monitoring
  
  tools:
    - name: kubectl

# Grant minimum permissions to Agent
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: kagent-readonly
  namespace: production
rules:
- apiGroups: [""]
  resources: ["pods", "services"]
  verbs: ["get", "list"]  # No write permissions
- apiGroups: [""]
  resources: ["pods/log"]
  verbs: ["get"]

spec:
  modelConfig:
    maxTokens: 4000  # Limit response tokens
    budget:
      daily: 1000000  # Daily token limit
      perQuery: 10000  # Per-query token limit
  
  cache:
    enabled: true
    ttl: 3600  # Cache same queries for 1 hour

apiVersion: kagent.dev/v1alpha1
kind: Agent
metadata:
  name: incident-responder
spec:
  triggers:
    - type: prometheus-alert
      severity: critical
      
  automation:
    enabled: true
    requireApproval: false  # No approval needed for emergencies
    
  actions:
    - diagnose: true
    - attempt-fix: true
    - notify-on-call: true
    - create-incident-report: true

apiVersion: kagent.dev/v1alpha1
kind: Agent
metadata:
  name: newbie-helper
spec:
  systemPrompt: |
    You are a friendly Kubernetes tutor for new developers.
    Explain concepts simply and provide step-by-step guidance.
    Always include educational context with your answers.