local-k8.yaml

# Complete AI Agent Deployment Manifests

# 1. Namespace for organization
apiVersion: v1
kind: Namespace
metadata:
  name: ai-agent

---
# 2. ConfigMap for application configuration
apiVersion: v1
kind: ConfigMap
metadata:
  name: ai-agent-config
  namespace: ai-agent
data:
  vector_db_host: "vector-db-service"
  vector_db_port: "8000"
  redis_host: "redis-service"
  redis_port: "6379"
  model_name: "sentence-transformers/all-MiniLM-L6-v2"
  log_level: "INFO"

---
# 3. Secret for sensitive data
apiVersion: v1
kind: Secret
metadata:
  name: ai-agent-secrets
  namespace: ai-agent
type: Opaque
data:
  openai_api_key: c2stcHJvajEyMzQ1Njc4OTA=
  redis_password: ""  # No password for demo

---
# 4. Vector Database Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: vector-db
  namespace: ai-agent
spec:
  replicas: 1
  selector:
    matchLabels:
      app: vector-db
  template:
    metadata:
      labels:
        app: vector-db
    spec:
      containers:
      - name: chromadb
        image: chromadb/chroma:latest
        ports:
        - containerPort: 8000
        volumeMounts:
        - name: vector-data
          mountPath: /chroma/chroma
      volumes:
      - name: vector-data
        emptyDir: {}

---
# 5. Vector DB Service
apiVersion: v1
kind: Service
metadata:
  name: vector-db-service
  namespace: ai-agent
spec:
  selector:
    app: vector-db
  ports:
  - port: 8000
    targetPort: 8000

---
# 6. Redis Cache Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redis
  namespace: ai-agent
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redis
  template:
    metadata:
      labels:
        app: redis
    spec:
      containers:
      - name: redis
        image: redis:7-alpine
        ports:
        - containerPort: 6379

---
# 7. Redis Service
apiVersion: v1
kind: Service
metadata:
  name: redis-service
  namespace: ai-agent
spec:
  selector:
    app: redis
  ports:
  - port: 6379
    targetPort: 6379

---
# 8. AI API Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: ai-api
  namespace: ai-agent
spec:
  replicas: 2
  selector:
    matchLabels:
      app: ai-api
  template:
    metadata:
      labels:
        app: ai-api
    spec:
      containers:
      - name: fastapi-app
        image: my-registry/ai-agent:latest
        ports:
        - containerPort: 8080
        env:
        - name: VECTOR_DB_HOST
          valueFrom:
            configMapKeyRef:
              name: ai-agent-config
              key: vector_db_host
        - name: REDIS_HOST
          valueFrom:
            configMapKeyRef:
              name: ai-agent-config
              key: redis_host
        - name: OPENAI_API_KEY
          valueFrom:
            secretKeyRef:
              name: ai-agent-secrets
              key: openai_api_key
        resources:
          requests:
            memory: "512Mi"
            cpu: "250m"
          limits:
            memory: "1Gi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5

---
# 9. AI API Service (LoadBalancer for external access)
apiVersion: v1
kind: Service
metadata:
  name: ai-api-service
  namespace: ai-agent
spec:
  type: LoadBalancer
  selector:
    app: ai-api
  ports:
  - port: 80
    targetPort: 8080

---
# Lab Commands:
# kubectl apply -f ai-agent-deployment.yaml
# kubectl get all -n ai-agent
# kubectl logs -f deployment/ai-api -n ai-agent
# minikube service ai-api-service -n ai-agent --url
# kubectl scale deployment ai-api --replicas=3 -n ai-agent