# Foundation protocol defines coordination interface
defprotocol Foundation.Registry do
  @version "2.1"
  def register(impl, key, pid, metadata)
  def lookup(impl, key)
end

# Perimeter Zone 1: External boundary with maximum validation
defmodule MABEAM.AgentRegistry do
  use Perimeter.Zone1
  use Foundation.ProtocolImpl, for: Foundation.Registry
  
  # AI-specific agent registration contract
  defcontract agent_registration :: %{
    required(:agent_id) => agent_id(),
    required(:capabilities) => [capability()],
    required(:variables) => variable_map(),
    required(:metadata) => agent_metadata(),
    validate(:agent_authorization),
    ai_validation: true
  }
  
  @guard input: agent_registration(),
         ai_processing: true,
         variable_tracking: true
  def register(impl, agent_id, pid, metadata) do
    # Zone 1 -> Zone 2 transition: Maximum validation to strategic validation
    AgentCore.register_validated(agent_id, pid, metadata)
  end
end

defmodule AIFoundation.PerimeterRegistry do
  @moduledoc """
  Zone 1: AI-native Foundation registry with comprehensive perimeter validation.
  """
  
  use Perimeter.Zone1.AI
  use Foundation.ProtocolImpl, for: Foundation.Registry
  
  # Complex AI agent contract with variable tracking
  defcontract ai_agent_spec :: %{
    required(:agent_type) => agent_type(),
    required(:capabilities) => [capability_spec()],
    required(:llm_config) => llm_configuration(),
    required(:variables) => optimizable_variables(),
    required(:coordination_prefs) => coordination_preferences(),
    validate(:llm_provider_compatibility),
    validate(:variable_constraint_satisfaction),
    validate(:capability_authorization),
    ai_validation: :comprehensive,
    variable_extraction: :automatic
  }
  
  @guard input: ai_agent_spec(),
         output: {:ok, agent_registration()} | {:error, validation_errors()},
         performance_tracking: true,
         variable_optimization: true
  def register(impl, agent_id, pid, agent_spec) do
    # Zone 1: Maximum validation for AI agent registration
    case validate_ai_agent_comprehensive(agent_spec) do
      {:ok, validated_spec, extracted_variables} ->
        # Zone 1 -> Zone 2 transition
        StrategicRegistry.register_validated_agent(impl, agent_id, pid, validated_spec)
        
        # Automatic variable optimization tracking
        VariableOptimizer.track_agent_variables(agent_id, extracted_variables)
        
      {:error, validation_errors} ->
        {:error, {:ai_validation_failed, validation_errors}}
    end
  end
  
  # AI-specific lookup with performance prediction
  @guard input: agent_lookup_spec(),
         output: {:ok, {pid(), agent_metadata()}} | :error,
         performance_optimization: true
  def lookup_with_prediction(impl, agent_id, performance_requirements) do
    # Zone 1: Validate performance requirements
    case validate_performance_requirements(performance_requirements) do
      {:ok, validated_requirements} ->
        # Zone 2: Strategic lookup with performance optimization
        PerformanceOptimizedLookup.find_best_agent(impl, agent_id, validated_requirements)
        
      {:error, _} = error ->
        error
    end
  end
end

defmodule AIFoundation.PerimeterCoordination do
  @moduledoc """
  Zone 2: Strategic coordination perimeters for distributed AI workflows.
  """
  
  use Perimeter.Zone2.Coordination
  use Foundation.ProtocolImpl, for: Foundation.Coordination
  
  # Multi-agent coordination contract
  defcontract ai_coordination_request :: %{
    required(:coordination_type) => :consensus | :auction | :voting | :byzantine,
    required(:participants) => [agent_participant()],
    required(:proposal) => coordination_proposal(),
    required(:ai_constraints) => ai_coordination_constraints(),
    optional(:performance_requirements) => performance_spec(),
    validate(:participant_capability_match),
    validate(:byzantine_fault_tolerance),
    coordination_optimization: true
  }
  
  @guard input: ai_coordination_request(),
         output: {:ok, coordination_ref()} | {:error, coordination_failure()},
         distributed_validation: true,
         fault_tolerance: :byzantine
  def start_ai_consensus(impl, coordination_request) do
    # Zone 2: Strategic validation for distributed coordination
    case validate_coordination_feasibility(coordination_request) do
      {:ok, optimized_request} ->
        # Zone 2 -> Zone 3 transition: Move to coupling zone
        DistributedAICore.execute_coordination(impl, optimized_request)
        
      {:error, feasibility_issues} ->
        {:error, {:coordination_infeasible, feasibility_issues}}
    end
  end
end

defmodule AIFoundation.VariablePerimeter do
  @moduledoc """
  Zone 1/2: Variable optimization that spans Foundation protocol boundaries.
  """
  
  use Perimeter.Variables.AI
  use Foundation.MultiProtocol
  
  # Cross-protocol variable optimization
  defcontract distributed_variable_optimization :: %{
    required(:variables) => [optimizable_variable()],
    required(:target_protocols) => [foundation_protocol()],
    required(:optimization_strategy) => optimization_strategy(),
    required(:performance_targets) => performance_targets(),
    optional(:coordination_scope) => :local | :cluster | :global,
    validate(:cross_protocol_compatibility),
    validate(:optimization_safety),
    variable_tracking: :comprehensive
  }
  
  @guard input: distributed_variable_optimization(),
         output: {:ok, optimization_result()} | {:error, optimization_failure()},
         multi_protocol: true,
         performance_monitoring: true
  def optimize_across_protocols(optimization_request) do
    # Zone 1: Validate cross-protocol optimization safety
    case validate_cross_protocol_safety(optimization_request) do
      {:ok, safe_request} ->
        # Optimize variables across multiple Foundation protocols
        protocols = safe_request.target_protocols
        
        # Zone 2: Strategic coordination across protocols
        results = Enum.map(protocols, fn protocol ->
          protocol.optimize_variables(safe_request.variables)
        end)
        
        # Zone 3: Aggregate results in coupling zone
        VariableAggregator.combine_optimization_results(results)
        
      {:error, safety_issues} ->
        {:error, {:unsafe_cross_protocol_optimization, safety_issues}}
    end
  end
end

defmodule AIFoundation.LLMPerimeter do
  @moduledoc """
  Zone 1: LLM integration with Foundation infrastructure protection.
  """
  
  use Perimeter.Zone1.LLM
  use Foundation.Infrastructure
  
  # LLM request with Foundation protection
  defcontract protected_llm_request :: %{
    required(:messages) => [llm_message()],
    required(:model_config) => llm_model_config(),
    required(:variables) => variable_map(),
    required(:protection_config) => foundation_protection_config(),
    validate(:prompt_safety),
    validate(:model_compatibility),
    validate(:cost_constraints),
    foundation_protection: true,
    variable_extraction: true
  }
  
  @guard input: protected_llm_request(),
         output: {:ok, llm_response(), extracted_variables()} | {:error, llm_failure()},
         circuit_breaker: true,
         rate_limiting: true,
         cost_tracking: true
  def generate_with_protection(llm_request) do
    # Zone 1: Maximum validation and Foundation protection
    Foundation.Infrastructure.execute_protected(:llm_service, fn ->
      case validate_llm_request_comprehensive(llm_request) do
        {:ok, validated_request} ->
          # Zone 1 -> Zone 2: Protected execution
          result = LLMProvider.call(validated_request)
          
          # Extract variables for optimization
          variables = extract_llm_variables(result, validated_request.variables)
          
          {:ok, result, variables}
          
        {:error, validation_errors} ->
          {:error, {:llm_validation_failed, validation_errors}}
      end
    end)
  end
end

defmodule AIFrontier.Platform do
  @moduledoc """
  The complete AI platform integrating Foundation, Perimeter, and ElixirML.
  """
  
  # Zone 1: External API perimeter
  use Perimeter.Zone1.Platform
  
  # Foundation protocol implementations
  use Foundation.CompleteStack
  
  # ElixirML integration
  use ElixirML.PlatformIntegration
  
  # Complete platform entry point
  defcontract ai_platform_request :: %{
    required(:request_type) => :agent_creation | :pipeline_execution | :variable_optimization,
    required(:specification) => platform_specification(),
    required(:performance_requirements) => performance_requirements(),
    optional(:distributed_config) => distributed_configuration(),
    validate(:platform_authorization),
    validate(:resource_availability),
    ai_validation: :comprehensive,
    foundation_integration: true,
    elixirml_variables: true
  }
  
  @guard input: ai_platform_request(),
         output: {:ok, platform_response()} | {:error, platform_failure()},
         multi_zone_validation: true,
         foundation_protocols: [:registry, :coordination, :infrastructure],
         elixirml_integration: true
  def process_ai_request(platform_request) do
    # Zone 1: Complete platform validation
    case validate_platform_request_comprehensive(platform_request) do
      {:ok, validated_request} ->
        # Route to appropriate platform subsystem
        case validated_request.request_type do
          :agent_creation ->
            # Zone 2: Agent creation with Foundation + ElixirML
            create_ai_agent_with_variables(validated_request)
            
          :pipeline_execution ->
            # Zone 2: Pipeline with Foundation coordination
            execute_ai_pipeline_distributed(validated_request)
            
          :variable_optimization ->
            # Zone 2: Variable optimization across platform
            optimize_variables_platform_wide(validated_request)
        end
        
      {:error, validation_errors} ->
        {:error, {:platform_validation_failed, validation_errors}}
    end
  end
end

# Enhanced Foundation protocols with Perimeter validation
defmodule Foundation.Protocol.Enhanced do
  use Perimeter.ProtocolEnhancer
  
  # Add perimeter validation to all Foundation protocols
  enhance_protocol Foundation.Registry, with: Perimeter.Zone2.Strategic
  enhance_protocol Foundation.Coordination, with: Perimeter.Zone2.Distributed
  enhance_protocol Foundation.Infrastructure, with: Perimeter.Zone1.Protection
end

# AI-specific perimeter patterns
defmodule Perimeter.AI.Patterns do
  # LLM-specific validation patterns
  defpattern :llm_integration, Perimeter.Zone1.LLM
  
  # Multi-agent coordination patterns
  defpattern :agent_coordination, Perimeter.Zone2.Agents
  
  # Variable optimization patterns
  defpattern :variable_optimization, Perimeter.Variables.AI
end

# Complete ElixirML integration with Foundation + Perimeter
defmodule ElixirML.PlatformComplete do
  use Foundation.ProtocolStack
  use Perimeter.FourZoneArchitecture
  
  # Variables become platform-wide coordination primitives
  def coordinate_variables_platform_wide(variables, coordination_scope) do
    # Use Foundation protocols for coordination
    # Use Perimeter zones for validation
    # Use ElixirML for optimization
  end
end

# Production deployment with complete monitoring
defmodule AIFrontier.ProductionPlatform do
  use Foundation.ProductionStack
  use Perimeter.ProductionValidation
  use ElixirML.ProductionOptimization
  
  # Complete observability and control
  def platform_status do
    %{
      foundation_protocols: Foundation.health_status(),
      perimeter_validation: Perimeter.validation_stats(),
      elixirml_optimization: ElixirML.optimization_status(),
      ai_platform_metrics: AIFrontier.comprehensive_metrics()
    }
  end
end

# Agents that optimize themselves using platform-wide variable coordination
agent = AIFrontier.create_self_optimizing_agent(%{
  capabilities: [:llm_interaction, :tool_usage, :coordination],
  optimization_scope: :platform_wide,
  performance_targets: %{latency: 100, accuracy: 0.95, cost: 0.01}
})

# Pipelines that coordinate across clusters with automatic fault tolerance
pipeline = AIFrontier.create_distributed_pipeline(%{
  steps: [llm_analysis, vector_search, agent_coordination, result_synthesis],
  coordination_strategy: :byzantine_fault_tolerant,
  variable_optimization: :automatic
})

# Variables that optimize across the entire platform stack
optimization = AIFrontier.optimize_platform_variables(%{
  scope: :global,
  targets: [:performance, :cost, :accuracy],
  constraints: platform_constraints(),
  coordination: :distributed_consensus
})