# Configuration: PostgreSQL for config/logs + Weaviate for vector store
# Usage: helm install bifrost ./bifrost -f values-examples/postgres-weaviate.yaml

# Storage configuration
storage:
  mode: postgres
  configStore:
    enabled: true
  logsStore:
    enabled: true

# Deploy PostgreSQL
postgresql:
  enabled: true
  auth:
    username: bifrost
    password: bifrost_password
    database: bifrost
  primary:
    persistence:
      enabled: true
      size: 10Gi
    resources:
      limits:
        cpu: 1000m
        memory: 1Gi
      requests:
        cpu: 250m
        memory: 256Mi

# Deploy Weaviate for vector store
vectorStore:
  enabled: true
  type: weaviate
  weaviate:
    enabled: true
    replicas: 1
    persistence:
      enabled: true
      size: 10Gi
    resources:
      limits:
        cpu: 1000m
        memory: 2Gi
      requests:
        cpu: 500m
        memory: 1Gi

# Bifrost configuration
bifrost:
  client:
    enableLogging: true
  providers: {}
    # Add your provider keys here

  # Enable semantic cache plugin to use vector store
  plugins:
    semanticCache:
      enabled: true
      # Reference to external Kubernetes Secret for OpenAI API key
      # Create the secret with: kubectl create secret generic bifrost-semantic-cache --from-literal=openai-key=sk-YOUR_OPENAI_KEY
      secretRef:
        name: "bifrost-semantic-cache"
        key: "openai-key"
      config:
        provider: "openai"
        # keys are injected from the secret via environment variable
        embedding_model: "text-embedding-3-small"
        dimension: 1536
        threshold: 0.8
        ttl: "5m"