# Configuration: SQLite for config/logs + Redis for vector store
# Usage: helm install bifrost ./bifrost -f values-examples/sqlite-redis.yaml
#
# SECURITY NOTE: This example contains placeholder values that MUST be replaced
# before deployment. Specifically:
# - Redis password must be set to a strong, randomly generated value
# - Provider API keys must be replaced with real keys
# See inline comments for specific requirements.

# Storage configuration
storage:
  mode: sqlite
  persistence:
    enabled: true
    size: 10Gi
  configStore:
    enabled: true
  logsStore:
    enabled: true

# No PostgreSQL
postgresql:
  enabled: false

# Deploy Redis for vector store
vectorStore:
  enabled: true
  type: redis
  redis:
    enabled: true
    auth:
      enabled: true
      # REQUIRED: Replace with a strong, randomly generated password
      # Example: Use `openssl rand -base64 32` to generate a secure password
      # Or set via Helm: --set vectorStore.redis.auth.password="$(openssl rand -base64 32)"
      # Or use a Kubernetes secret: --set vectorStore.redis.auth.existingSecret=redis-secret
      password: "REPLACE_ME_WITH_STRONG_PASSWORD"
    master:
      persistence:
        enabled: true
        size: 8Gi
      resources:
        limits:
          cpu: 500m
          memory: 512Mi
        requests:
          cpu: 250m
          memory: 256Mi

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

  # Enable semantic cache plugin to use Redis vector store
  plugins:
    semanticCache:
      enabled: true
      # OPTION 1 (Recommended): 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"
      # OPTION 2 (Not recommended): Or uncomment to provide keys directly (not secure)
      # Remove secretRef above and uncomment the keys below:
      config:
        provider: "openai"
        # keys:
        #   - "REPLACE_WITH_OPENAI_API_KEY"  # Not recommended: use secretRef instead
        embedding_model: "text-embedding-3-small"
        dimension: 1536
        threshold: 0.8
        ttl: "5m"