# VAPORA Composed Configuration - Enterprise Mode
#
# Production high-availability configuration
# Uses: schema → common defaults → enterprise mode defaults → user customizations
#
# Features:
# - Network accessible with clustering (0.0.0.0)
# - SurrealDB cluster with replication
# - NATS JetStream cluster
# - All LLM providers enabled (Claude, OpenAI, Gemini, Ollama)
# - Aggressive cost optimization with multi-provider fallback
# - Enterprise-grade security (TLS enforced, MFA required)
# - Full observability (Prometheus, OpenTelemetry, distributed tracing)
# - 90-day knowledge graph retention for learning
# - 6-hour automated backup interval
#
# Prerequisites:
# - Kubernetes cluster (production-grade)
# - SurrealDB cluster with replication
# - NATS JetStream cluster
# - Prometheus/Grafana stack
# - TLS certificates for all services
# - Multi-provider LLM setup
#
# Generated: January 12, 2026

let helpers = import "../common/helpers.ncl" in
let schema = import "../../vapora/main.ncl" in
let defaults_mode = import "../defaults/deployment/enterprise.ncl" in

# Composition: Schema → Mode Defaults → User Config
helpers.compose_config schema defaults_mode {
  # Production domain configuration
  frontend.api_url = "https://api.vapora.production.com",

  # All providers enabled for cost optimization
  providers = {
    claude_enabled = true,
    openai_enabled = true,
    gemini_enabled = true,
    ollama_enabled = true,
    ollama_url = "http://ollama-cluster.production:11434",
  },

  # Optional: Customize cost control strategy
  # llm_router.budget_enforcement = {
  #   enabled = true,
  #   window = "monthly",
  #   near_threshold_percent = 70,    # Alert at 70%
  #   auto_fallback = true,            # Always fallback to cheaper
  #   detailed_tracking = true,        # Track every token for billing
  #   role_limits = {
  #     architect_cents = 2000000,     # $20,000/month
  #     developer_cents = 1500000,     # $15,000/month
  #     reviewer_cents = 800000,       # $8,000/month
  #     testing_cents = 500000,        # $5,000/month
  #   },
  # },

  # Optional: Customize agent learning
  # agents.learning = {
  #   enabled = true,
  #   recency_window_days = 30,        # 30-day learning window
  #   recency_multiplier = 4.0,        # Stronger recency weighting
  # },

  # Optional: Customize knowledge graph
  # agents.knowledge_graph = {
  #   enabled = true,
  #   retention_days = 365,            # Full year of history
  #   causal_reasoning = true,
  #   similarity_search = true,
  # },

  # Optional: Custom backup strategy
  # storage = {
  #   base_path = "/var/lib/vapora",
  #   backup_enabled = true,
  #   backup_interval = 6,             # Backup every 6 hours
  # },
}