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20250712 FOUNDATION MABEAM ARCHITECTURE

Documentation for 20250712_FOUNDATION_MABEAM_ARCHITECTURE from the Foundation repository.

Foundation MABEAM Architecture: Production-Grade Multi-Agent Orchestration

Date: July 12, 2025
Status: Technical Specification
Scope: Complete Foundation MABEAM integration with advanced patterns
Context: Based on lib_old “god files” analysis and unified vision documents

Executive Summary

This document specifies the production-grade Foundation MABEAM architecture that integrates the sophisticated multi-agent orchestration patterns discovered in lib_old with Foundation’s infrastructure strengths. The architecture enables revolutionary capabilities including economic coordination mechanisms, hierarchical consensus, and distributed cognitive orchestration while maintaining OTP compliance and fault tolerance.

Core Architectural Principles

1. OTP-First Multi-Agent Design

Foundation: Every agent must be properly supervised within OTP trees MABEAM Enhancement: Multi-agent coordination preserves supervision guarantees Implementation: Supervisor trees coordinate agent teams while maintaining individual agent supervision

2. Economic Coordination Mechanisms

Innovation: Production-ready economic mechanisms for agent coordination Capability: Auction systems, reputation tracking, and cost optimization Strategic Value: Enables intelligent resource allocation and anti-gaming measures

3. Hierarchical Consensus for Scale

Challenge: Traditional consensus breaks down with large agent teams (6+ agents) Solution: Hierarchical delegation trees with automatic representative selection Result: Scalable coordination for hundreds of agents through clustering

4. High-Performance Registry Architecture

Pattern: Write-through-process, read-from-table with comprehensive indexing Performance: Microsecond read latency for agent discovery and coordination Scalability: Supports 10,000+ agents per node with linear scaling

Foundation MABEAM Service Architecture

Core Services Integration

# Foundation.Application supervision tree
def children(_opts) do
  [
    # Foundation core services
    {Foundation.ProcessRegistry, []},
    {Foundation.Services.Telemetry, []},
    {Foundation.Services.EventBus, []},
    
    # MABEAM coordination services
    {Foundation.MABEAM.Supervisor, []},
    {Foundation.MABEAM.Registry, []},
    {Foundation.MABEAM.Coordination, []},
    {Foundation.MABEAM.Economics, []},
    {Foundation.MABEAM.Telemetry, []}
  ]
end

MABEAM Supervision Architecture

defmodule Foundation.MABEAM.Supervisor do
  @moduledoc """
  Root supervisor for all MABEAM services with fault tolerance
  """
  
  use Supervisor
  
  def start_link(opts) do
    Supervisor.start_link(__MODULE__, opts, name: __MODULE__)
  end
  
  def init(opts) do
    children = [
      # High-performance agent registry
      {Foundation.MABEAM.Registry, opts[:registry] || []},
      
      # Advanced coordination engine
      {Foundation.MABEAM.Coordination, opts[:coordination] || []},
      
      # Economic mechanisms (auctions, markets, reputation)
      {Foundation.MABEAM.Economics, opts[:economics] || []},
      
      # Agent lifecycle management
      {Foundation.MABEAM.AgentSupervisor, opts[:agents] || []},
      
      # Performance monitoring and telemetry
      {Foundation.MABEAM.Monitor, opts[:monitor] || []},
      
      # Distributed coordination primitives
      {Foundation.MABEAM.Distributed, opts[:distributed] || []}
    ]
    
    Supervisor.init(children, strategy: :one_for_one)
  end
end

High-Performance Agent Registry

Multi-Index ETS Architecture

defmodule Foundation.MABEAM.Registry do
  @moduledoc """
  High-performance agent registry with comprehensive indexing
  
  Performance targets:
  - Read operations: < 1μs
  - Write operations: < 10μs  
  - Agent discovery: < 100μs
  - Health checks: < 1ms
  """
  
  use GenServer
  require Logger
  
  # ETS table configurations
  @main_table :mabeam_agents_main
  @capability_index :mabeam_capability_index
  @health_index :mabeam_health_index
  @node_index :mabeam_node_index
  @resource_index :mabeam_resource_index
  @performance_index :mabeam_performance_index
  
  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end
  
  def init(opts) do
    # Create high-performance ETS tables
    tables = create_ets_tables()
    
    # Initialize monitoring
    :timer.send_interval(1000, :health_check)
    :timer.send_interval(5000, :performance_snapshot)
    
    # Setup distributed coordination if enabled
    distributed_opts = setup_distributed_coordination(opts)
    
    {:ok, %{
      tables: tables,
      distributed: distributed_opts,
      metrics: initialize_metrics(),
      started_at: DateTime.utc_now()
    }}
  end
  
  # High-performance agent registration
  def register_agent(agent_spec, opts \\ []) do
    GenServer.call(__MODULE__, {:register, agent_spec, opts})
  end
  
  # Microsecond agent lookup (ETS read)
  def lookup_agent(agent_id) do
    case :ets.lookup(@main_table, agent_id) do
      [{^agent_id, agent_info}] -> {:ok, agent_info}
      [] -> {:error, :not_found}
    end
  end
  
  # Fast capability-based discovery
  def find_agents_by_capability(capability, opts \\ []) do
    match_pattern = {{capability, :"$1"}, :"$2"}
    agents = :ets.match(@capability_index, match_pattern)
    
    # Apply filters and limits
    agents
    |> apply_filters(opts[:filters] || [])
    |> apply_limit(opts[:limit] || 100)
    |> Enum.map(&lookup_agent/1)
    |> filter_ok_results()
  end
  
  # Real-time health monitoring
  def get_agent_health(agent_id) do
    case :ets.lookup(@health_index, agent_id) do
      [{^agent_id, health_info}] -> {:ok, health_info}
      [] -> {:error, :not_found}
    end
  end
  
  # Resource usage tracking
  def get_resource_usage(agent_id) do
    case :ets.lookup(@resource_index, agent_id) do
      [{^agent_id, resource_info}] -> {:ok, resource_info}
      [] -> {:error, :not_found}
    end
  end
  
  # Performance metrics access
  def get_agent_performance(agent_id) do
    case :ets.lookup(@performance_index, agent_id) do
      [{^agent_id, perf_info}] -> {:ok, perf_info}
      [] -> {:error, :not_found}
    end
  end
  
  # GenServer implementation
  def handle_call({:register, agent_spec, opts}, _from, state) do
    case register_agent_internal(agent_spec, opts, state) do
      {:ok, agent_info} ->
        # Update all indexes
        update_all_indexes(agent_info)
        
        # Emit telemetry
        :telemetry.execute([:foundation, :mabeam, :agent, :registered], %{}, %{
          agent_id: agent_info.id,
          capabilities: agent_info.capabilities,
          node: node()
        })
        
        {:reply, {:ok, agent_info}, state}
        
      {:error, reason} ->
        {:reply, {:error, reason}, state}
    end
  end
  
  def handle_info(:health_check, state) do
    perform_health_checks(state)
    {:noreply, state}
  end
  
  def handle_info(:performance_snapshot, state) do
    collect_performance_metrics(state)
    {:noreply, state}
  end
  
  # Private implementation
  defp create_ets_tables do
    tables = %{
      main: :ets.new(@main_table, [:set, :named_table, :public, {:read_concurrency, true}]),
      capability: :ets.new(@capability_index, [:bag, :named_table, :public, {:read_concurrency, true}]),
      health: :ets.new(@health_index, [:set, :named_table, :public, {:read_concurrency, true}]),
      node: :ets.new(@node_index, [:bag, :named_table, :public, {:read_concurrency, true}]),
      resource: :ets.new(@resource_index, [:set, :named_table, :public, {:read_concurrency, true}]),
      performance: :ets.new(@performance_index, [:set, :named_table, :public, {:read_concurrency, true}])
    }
    
    Logger.info("Created MABEAM registry ETS tables: #{inspect(Map.keys(tables))}")
    tables
  end
  
  defp register_agent_internal(agent_spec, opts, state) do
    agent_info = %{
      id: agent_spec.id,
      pid: agent_spec.pid,
      module: agent_spec.module,
      capabilities: extract_capabilities(agent_spec),
      config: agent_spec.config || %{},
      health: %{status: :healthy, last_check: DateTime.utc_now()},
      resources: initialize_resource_tracking(),
      performance: initialize_performance_tracking(),
      registered_at: DateTime.utc_now(),
      node: node()
    }
    
    # Validate agent specification
    case validate_agent_spec(agent_info) do
      :ok ->
        # Insert into main table
        :ets.insert(@main_table, {agent_info.id, agent_info})
        {:ok, agent_info}
        
      {:error, reason} ->
        {:error, reason}
    end
  end
  
  defp update_all_indexes(agent_info) do
    # Update capability index
    Enum.each(agent_info.capabilities, fn capability ->
      :ets.insert(@capability_index, {{capability, agent_info.id}, agent_info.pid})
    end)
    
    # Update health index
    :ets.insert(@health_index, {agent_info.id, agent_info.health})
    
    # Update node index
    :ets.insert(@node_index, {{agent_info.node, agent_info.id}, agent_info.pid})
    
    # Update resource index
    :ets.insert(@resource_index, {agent_info.id, agent_info.resources})
    
    # Update performance index
    :ets.insert(@performance_index, {agent_info.id, agent_info.performance})
  end
  
  defp extract_capabilities(agent_spec) do
    # Extract capabilities from agent module or spec
    cond do
      is_function(agent_spec.module.__info__, 1) ->
        # Get capabilities from module attributes
        agent_spec.module.__info__(:attributes)
        |> Keyword.get(:capabilities, [])
        
      Map.has_key?(agent_spec, :capabilities) ->
        agent_spec.capabilities
        
      true ->
        # Default capabilities based on module name
        [:generic]
    end
  end
  
  defp validate_agent_spec(agent_info) do
    cond do
      not is_pid(agent_info.pid) ->
        {:error, :invalid_pid}
        
      not Process.alive?(agent_info.pid) ->
        {:error, :dead_process}
        
      agent_info.id == nil ->
        {:error, :missing_agent_id}
        
      true ->
        :ok
    end
  end
  
  defp initialize_resource_tracking do
    %{
      cpu_usage: 0.0,
      memory_usage: 0,
      message_queue_length: 0,
      last_updated: DateTime.utc_now()
    }
  end
  
  defp initialize_performance_tracking do
    %{
      response_times: [],
      success_rate: 1.0,
      error_count: 0,
      total_requests: 0,
      last_updated: DateTime.utc_now()
    }
  end
  
  defp perform_health_checks(state) do
    # Get all agents
    agents = :ets.tab2list(@main_table)
    
    # Check health of each agent
    Enum.each(agents, fn {agent_id, agent_info} ->
      health_status = check_agent_health(agent_info)
      :ets.insert(@health_index, {agent_id, health_status})
    end)
  end
  
  defp check_agent_health(agent_info) do
    cond do
      not Process.alive?(agent_info.pid) ->
        %{status: :dead, last_check: DateTime.utc_now(), reason: :process_dead}
        
      Process.info(agent_info.pid, :message_queue_len) |> elem(1) > 1000 ->
        %{status: :overloaded, last_check: DateTime.utc_now(), reason: :high_message_queue}
        
      true ->
        %{status: :healthy, last_check: DateTime.utc_now()}
    end
  end
  
  defp collect_performance_metrics(state) do
    # Collect system-wide performance metrics
    metrics = %{
      total_agents: :ets.info(@main_table, :size),
      healthy_agents: count_healthy_agents(),
      avg_response_time: calculate_avg_response_time(),
      system_load: :cpu_sup.avg1() / 256,
      memory_usage: :memsup.get_system_memory_data(),
      timestamp: DateTime.utc_now()
    }
    
    # Emit telemetry
    :telemetry.execute([:foundation, :mabeam, :registry, :performance], metrics, %{})
  end
  
  defp setup_distributed_coordination(opts) do
    if opts[:distributed] do
      # Future: Setup Horde or custom distributed coordination
      Logger.info("Distributed coordination enabled for MABEAM registry")
      %{enabled: true, nodes: [node()]}
    else
      %{enabled: false}
    end
  end
  
  defp initialize_metrics do
    %{
      registrations: 0,
      lookups: 0,
      health_checks: 0,
      performance_snapshots: 0
    }
  end
end

Advanced Coordination Engine

Multi-Protocol Coordination Support

defmodule Foundation.MABEAM.Coordination do
  @moduledoc """
  Advanced coordination engine supporting multiple coordination protocols
  
  Supported Protocols:
  - Simple consensus (3-5 agents)
  - Hierarchical consensus (6+ agents)
  - Byzantine fault tolerant consensus (when fault tolerance required)
  - Market-based coordination (when economic incentives needed)
  - Ensemble learning coordination (for ML-specific workflows)
  """
  
  use GenServer
  require Logger
  
  # Coordination protocol implementations
  @protocols %{
    simple_consensus: Foundation.MABEAM.Protocols.SimpleConsensus,
    hierarchical_consensus: Foundation.MABEAM.Protocols.HierarchicalConsensus,
    byzantine_consensus: Foundation.MABEAM.Protocols.ByzantineConsensus,
    market_coordination: Foundation.MABEAM.Protocols.MarketCoordination,
    ensemble_learning: Foundation.MABEAM.Protocols.EnsembleLearning,
    hyperparameter_optimization: Foundation.MABEAM.Protocols.HyperparameterOptimization
  }
  
  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end
  
  def init(opts) do
    state = %{
      active_coordinations: %{},
      protocol_configs: opts[:protocols] || %{},
      performance_history: [],
      started_at: DateTime.utc_now()
    }
    
    {:ok, state}
  end
  
  # Primary coordination interface
  def coordinate(coordination_spec, opts \\ []) do
    GenServer.call(__MODULE__, {:coordinate, coordination_spec, opts})
  end
  
  def get_coordination_status(coordination_id) do
    GenServer.call(__MODULE__, {:get_status, coordination_id})
  end
  
  def cancel_coordination(coordination_id, reason \\ :cancelled) do
    GenServer.call(__MODULE__, {:cancel, coordination_id, reason})
  end
  
  # Protocol selection based on coordination requirements
  def select_coordination_protocol(coordination_spec) do
    participant_count = length(coordination_spec.participants)
    fault_tolerance_required = coordination_spec.fault_tolerance || false
    economic_incentives = coordination_spec.economic_incentives || false
    ml_specific = coordination_spec.type in [:ensemble_learning, :hyperparameter_optimization]
    
    cond do
      ml_specific ->
        coordination_spec.type
        
      economic_incentives ->
        :market_coordination
        
      fault_tolerance_required ->
        :byzantine_consensus
        
      participant_count >= 6 ->
        :hierarchical_consensus
        
      true ->
        :simple_consensus
    end
  end
  
  # GenServer implementation
  def handle_call({:coordinate, coordination_spec, opts}, from, state) do
    coordination_id = generate_coordination_id()
    protocol = select_coordination_protocol(coordination_spec)
    
    # Start coordination with selected protocol
    case start_coordination(protocol, coordination_id, coordination_spec, opts) do
      {:ok, coordination_pid} ->
        coordination_info = %{
          id: coordination_id,
          protocol: protocol,
          pid: coordination_pid,
          spec: coordination_spec,
          started_at: DateTime.utc_now(),
          from: from
        }
        
        new_state = %{state | 
          active_coordinations: Map.put(state.active_coordinations, coordination_id, coordination_info)
        }
        
        # Don't reply immediately - coordination will reply when complete
        {:noreply, new_state}
        
      {:error, reason} ->
        {:reply, {:error, reason}, state}
    end
  end
  
  def handle_call({:get_status, coordination_id}, _from, state) do
    case Map.get(state.active_coordinations, coordination_id) do
      nil ->
        {:reply, {:error, :not_found}, state}
        
      coordination_info ->
        status = get_protocol_status(coordination_info.protocol, coordination_info.pid)
        {:reply, {:ok, status}, state}
    end
  end
  
  def handle_call({:cancel, coordination_id, reason}, _from, state) do
    case Map.get(state.active_coordinations, coordination_id) do
      nil ->
        {:reply, {:error, :not_found}, state}
        
      coordination_info ->
        cancel_protocol_coordination(coordination_info.protocol, coordination_info.pid, reason)
        new_state = %{state |
          active_coordinations: Map.delete(state.active_coordinations, coordination_id)
        }
        {:reply, :ok, new_state}
    end
  end
  
  # Handle coordination completion
  def handle_info({:coordination_complete, coordination_id, result}, state) do
    case Map.get(state.active_coordinations, coordination_id) do
      nil ->
        Logger.warning("Received completion for unknown coordination: #{coordination_id}")
        {:noreply, state}
        
      coordination_info ->
        # Reply to original caller
        GenServer.reply(coordination_info.from, result)
        
        # Update performance history
        duration = DateTime.diff(DateTime.utc_now(), coordination_info.started_at, :microsecond)
        performance_record = %{
          protocol: coordination_info.protocol,
          participants: length(coordination_info.spec.participants),
          duration_us: duration,
          result: result,
          timestamp: DateTime.utc_now()
        }
        
        new_state = %{state |
          active_coordinations: Map.delete(state.active_coordinations, coordination_id),
          performance_history: [performance_record | Enum.take(state.performance_history, 999)]
        }
        
        # Emit telemetry
        :telemetry.execute([:foundation, :mabeam, :coordination, :complete], %{
          duration_us: duration,
          participants: length(coordination_info.spec.participants)
        }, %{
          protocol: coordination_info.protocol,
          result: elem(result, 0)
        })
        
        {:noreply, new_state}
    end
  end
  
  # Private implementation
  defp start_coordination(protocol, coordination_id, coordination_spec, opts) do
    protocol_module = Map.get(@protocols, protocol)
    
    if protocol_module do
      # Start coordination process
      protocol_module.start_coordination(coordination_id, coordination_spec, opts)
    else
      {:error, {:unknown_protocol, protocol}}
    end
  end
  
  defp get_protocol_status(protocol, pid) do
    protocol_module = Map.get(@protocols, protocol)
    
    if protocol_module and Process.alive?(pid) do
      protocol_module.get_status(pid)
    else
      %{status: :unknown}
    end
  end
  
  defp cancel_protocol_coordination(protocol, pid, reason) do
    protocol_module = Map.get(@protocols, protocol)
    
    if protocol_module and Process.alive?(pid) do
      protocol_module.cancel(pid, reason)
    end
  end
  
  defp generate_coordination_id do
    :crypto.strong_rand_bytes(16) |> Base.encode16(case: :lower)
  end
end

Economic Coordination Mechanisms

Advanced Auction System

defmodule Foundation.MABEAM.Economics do
  @moduledoc """
  Economic coordination mechanisms for intelligent resource allocation
  
  Supported Mechanisms:
  - English auctions (open ascending price)
  - Dutch auctions (descending price with time pressure)
  - Sealed-bid auctions (private bid submission)
  - Vickrey auctions (second-price for truth revelation)
  - Combinatorial auctions (multi-item bundle bidding)
  - Reputation systems (multi-dimensional scoring)
  - Market mechanisms (real-time pricing)
  """
  
  use GenServer
  require Logger
  
  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end
  
  def init(opts) do
    state = %{
      active_auctions: %{},
      agent_reputations: %{},
      market_prices: %{},
      economic_history: [],
      anti_gaming_measures: initialize_anti_gaming(),
      started_at: DateTime.utc_now()
    }
    
    # Start periodic reputation updates
    :timer.send_interval(60_000, :update_reputations)
    :timer.send_interval(30_000, :update_market_prices)
    
    {:ok, state}
  end
  
  # Auction creation and management
  def create_auction(auction_spec, opts \\ []) do
    GenServer.call(__MODULE__, {:create_auction, auction_spec, opts})
  end
  
  def place_bid(auction_id, agent_id, bid_spec) do
    GenServer.call(__MODULE__, {:place_bid, auction_id, agent_id, bid_spec})
  end
  
  def get_auction_status(auction_id) do
    GenServer.call(__MODULE__, {:get_auction_status, auction_id})
  end
  
  # Reputation management
  def get_agent_reputation(agent_id) do
    GenServer.call(__MODULE__, {:get_reputation, agent_id})
  end
  
  def update_agent_performance(agent_id, performance_data) do
    GenServer.cast(__MODULE__, {:update_performance, agent_id, performance_data})
  end
  
  # Market mechanisms
  def get_market_price(resource_type) do
    GenServer.call(__MODULE__, {:get_market_price, resource_type})
  end
  
  def create_market_order(agent_id, order_spec) do
    GenServer.call(__MODULE__, {:create_market_order, agent_id, order_spec})
  end
  
  # GenServer implementation
  def handle_call({:create_auction, auction_spec, opts}, _from, state) do
    auction_id = generate_auction_id()
    
    case validate_auction_spec(auction_spec) do
      :ok ->
        auction_info = %{
          id: auction_id,
          type: auction_spec.type,
          resource: auction_spec.resource,
          starting_price: auction_spec.starting_price,
          reserve_price: auction_spec.reserve_price,
          duration: auction_spec.duration,
          participants: [],
          bids: [],
          status: :active,
          created_at: DateTime.utc_now(),
          creator: auction_spec.creator
        }
        
        # Schedule auction end
        Process.send_after(self(), {:auction_timeout, auction_id}, auction_spec.duration)
        
        new_state = %{state |
          active_auctions: Map.put(state.active_auctions, auction_id, auction_info)
        }
        
        {:reply, {:ok, auction_id}, new_state}
        
      {:error, reason} ->
        {:reply, {:error, reason}, state}
    end
  end
  
  def handle_call({:place_bid, auction_id, agent_id, bid_spec}, _from, state) do
    case Map.get(state.active_auctions, auction_id) do
      nil ->
        {:reply, {:error, :auction_not_found}, state}
        
      auction_info when auction_info.status != :active ->
        {:reply, {:error, :auction_not_active}, state}
        
      auction_info ->
        case validate_bid(bid_spec, auction_info, agent_id, state) do
          :ok ->
            bid_info = %{
              agent_id: agent_id,
              amount: bid_spec.amount,
              timestamp: DateTime.utc_now(),
              bid_data: bid_spec.data || %{}
            }
            
            updated_auction = %{auction_info |
              bids: [bid_info | auction_info.bids],
              participants: Enum.uniq([agent_id | auction_info.participants])
            }
            
            new_state = %{state |
              active_auctions: Map.put(state.active_auctions, auction_id, updated_auction)
            }
            
            # Emit bid event
            :telemetry.execute([:foundation, :mabeam, :economics, :bid_placed], %{
              amount: bid_spec.amount
            }, %{
              auction_id: auction_id,
              agent_id: agent_id,
              auction_type: auction_info.type
            })
            
            {:reply, :ok, new_state}
            
          {:error, reason} ->
            {:reply, {:error, reason}, state}
        end
    end
  end
  
  def handle_call({:get_auction_status, auction_id}, _from, state) do
    case Map.get(state.active_auctions, auction_id) do
      nil ->
        {:reply, {:error, :not_found}, state}
        
      auction_info ->
        status = build_auction_status(auction_info)
        {:reply, {:ok, status}, state}
    end
  end
  
  def handle_call({:get_reputation, agent_id}, _from, state) do
    reputation = Map.get(state.agent_reputations, agent_id, default_reputation())
    {:reply, {:ok, reputation}, state}
  end
  
  def handle_call({:get_market_price, resource_type}, _from, state) do
    price = Map.get(state.market_prices, resource_type, %{price: 1.0, confidence: 0.5})
    {:reply, {:ok, price}, state}
  end
  
  def handle_cast({:update_performance, agent_id, performance_data}, state) do
    current_reputation = Map.get(state.agent_reputations, agent_id, default_reputation())
    updated_reputation = update_reputation(current_reputation, performance_data)
    
    new_state = %{state |
      agent_reputations: Map.put(state.agent_reputations, agent_id, updated_reputation)
    }
    
    {:noreply, new_state}
  end
  
  # Handle auction timeouts
  def handle_info({:auction_timeout, auction_id}, state) do
    case Map.get(state.active_auctions, auction_id) do
      nil ->
        {:noreply, state}
        
      auction_info ->
        # Determine auction winner
        winner_info = determine_auction_winner(auction_info)
        
        # Update auction status
        completed_auction = %{auction_info |
          status: :completed,
          winner: winner_info,
          completed_at: DateTime.utc_now()
        }
        
        # Notify participants
        notify_auction_participants(completed_auction)
        
        # Update economic history
        history_record = create_history_record(completed_auction)
        
        new_state = %{state |
          active_auctions: Map.put(state.active_auctions, auction_id, completed_auction),
          economic_history: [history_record | Enum.take(state.economic_history, 999)]
        }
        
        # Emit completion telemetry
        :telemetry.execute([:foundation, :mabeam, :economics, :auction_completed], %{
          participants: length(auction_info.participants),
          winning_bid: winner_info[:amount] || 0
        }, %{
          auction_type: auction_info.type,
          resource_type: auction_info.resource
        })
        
        {:noreply, new_state}
    end
  end
  
  def handle_info(:update_reputations, state) do
    # Periodic reputation decay and normalization
    updated_reputations = 
      state.agent_reputations
      |> Enum.map(fn {agent_id, reputation} ->
        {agent_id, decay_reputation(reputation)}
      end)
      |> Map.new()
    
    new_state = %{state | agent_reputations: updated_reputations}
    {:noreply, new_state}
  end
  
  def handle_info(:update_market_prices, state) do
    # Update market prices based on recent auction data
    updated_prices = calculate_market_prices(state.economic_history)
    
    new_state = %{state | market_prices: updated_prices}
    {:noreply, new_state}
  end
  
  # Private implementation
  defp validate_auction_spec(auction_spec) do
    required_fields = [:type, :resource, :starting_price, :duration, :creator]
    
    case Enum.find(required_fields, fn field -> not Map.has_key?(auction_spec, field) end) do
      nil ->
        if auction_spec.type in [:english, :dutch, :sealed_bid, :vickrey, :combinatorial] do
          :ok
        else
          {:error, :invalid_auction_type}
        end
        
      missing_field ->
        {:error, {:missing_field, missing_field}}
    end
  end
  
  defp validate_bid(bid_spec, auction_info, agent_id, state) do
    cond do
      not Map.has_key?(bid_spec, :amount) ->
        {:error, :missing_bid_amount}
        
      bid_spec.amount <= 0 ->
        {:error, :invalid_bid_amount}
        
      auction_info.type == :english and not valid_english_bid?(bid_spec, auction_info) ->
        {:error, :bid_too_low}
        
      agent_reputation_too_low?(agent_id, state) ->
        {:error, :insufficient_reputation}
        
      true ->
        :ok
    end
  end
  
  defp valid_english_bid?(bid_spec, auction_info) do
    current_highest = 
      auction_info.bids
      |> Enum.map(& &1.amount)
      |> Enum.max(fn -> auction_info.starting_price end)
    
    bid_spec.amount > current_highest
  end
  
  defp agent_reputation_too_low?(agent_id, state) do
    reputation = Map.get(state.agent_reputations, agent_id, default_reputation())
    reputation.overall_score < 0.3
  end
  
  defp determine_auction_winner(auction_info) do
    case auction_info.type do
      :english ->
        # Highest bid wins
        auction_info.bids
        |> Enum.max_by(& &1.amount, fn -> nil end)
        
      :dutch ->
        # First bid wins
        auction_info.bids
        |> Enum.min_by(& &1.timestamp, fn -> nil end)
        
      :vickrey ->
        # Second-price auction
        sorted_bids = Enum.sort_by(auction_info.bids, & &1.amount, :desc)
        
        case sorted_bids do
          [highest, second | _] ->
            %{highest | winning_price: second.amount}
            
          [only_bid] ->
            %{only_bid | winning_price: auction_info.reserve_price}
            
          [] ->
            nil
        end
        
      :sealed_bid ->
        # Highest sealed bid wins
        auction_info.bids
        |> Enum.max_by(& &1.amount, fn -> nil end)
        
      :combinatorial ->
        # Complex optimization for bundle bids
        optimize_combinatorial_auction(auction_info.bids)
    end
  end
  
  defp default_reputation do
    %{
      overall_score: 0.7,
      reliability: 0.7,
      performance: 0.7,
      cost_efficiency: 0.7,
      cooperation: 0.7,
      history_length: 0,
      last_updated: DateTime.utc_now()
    }
  end
  
  defp update_reputation(current_reputation, performance_data) do
    # Multi-dimensional reputation update
    %{current_reputation |
      reliability: update_reliability(current_reputation.reliability, performance_data),
      performance: update_performance_score(current_reputation.performance, performance_data),
      cost_efficiency: update_cost_efficiency(current_reputation.cost_efficiency, performance_data),
      cooperation: update_cooperation(current_reputation.cooperation, performance_data),
      history_length: current_reputation.history_length + 1,
      last_updated: DateTime.utc_now()
    }
    |> recalculate_overall_score()
  end
  
  defp recalculate_overall_score(reputation) do
    overall = (reputation.reliability * 0.3 +
               reputation.performance * 0.3 +
               reputation.cost_efficiency * 0.2 +
               reputation.cooperation * 0.2)
    
    %{reputation | overall_score: overall}
  end
  
  defp initialize_anti_gaming do
    %{
      bid_frequency_limits: %{},
      reputation_manipulation_detection: %{},
      collusion_detection: %{}
    }
  end
  
  defp generate_auction_id do
    :crypto.strong_rand_bytes(12) |> Base.encode16(case: :lower)
  end
end

Production Integration Patterns

Telemetry and Monitoring

defmodule Foundation.MABEAM.Telemetry do
  @moduledoc """
  Comprehensive telemetry and monitoring for MABEAM operations
  """
  
  def setup_telemetry do
    :telemetry.attach_many(
      "foundation-mabeam-telemetry",
      [
        [:foundation, :mabeam, :agent, :registered],
        [:foundation, :mabeam, :agent, :deregistered],
        [:foundation, :mabeam, :coordination, :started],
        [:foundation, :mabeam, :coordination, :complete],
        [:foundation, :mabeam, :economics, :auction_created],
        [:foundation, :mabeam, :economics, :bid_placed],
        [:foundation, :mabeam, :economics, :auction_completed],
        [:foundation, :mabeam, :registry, :performance]
      ],
      &handle_telemetry_event/4,
      nil
    )
  end
  
  def handle_telemetry_event(event, measurements, metadata, _config) do
    case event do
      [:foundation, :mabeam, :registry, :performance] ->
        record_registry_performance(measurements, metadata)
        
      [:foundation, :mabeam, :coordination, :complete] ->
        record_coordination_performance(measurements, metadata)
        
      [:foundation, :mabeam, :economics, :auction_completed] ->
        record_economic_activity(measurements, metadata)
        
      _ ->
        log_telemetry_event(event, measurements, metadata)
    end
  end
  
  defp record_registry_performance(measurements, _metadata) do
    # Record registry performance metrics
    :prometheus_gauge.set(
      :mabeam_registry_agent_count,
      measurements.total_agents
    )
    
    :prometheus_gauge.set(
      :mabeam_registry_healthy_agents,
      measurements.healthy_agents
    )
    
    :prometheus_histogram.observe(
      :mabeam_registry_response_time,
      measurements.avg_response_time
    )
  end
  
  defp record_coordination_performance(measurements, metadata) do
    :prometheus_histogram.observe(
      :mabeam_coordination_duration,
      [protocol: metadata.protocol],
      measurements.duration_us / 1000
    )
    
    :prometheus_counter.inc(
      :mabeam_coordination_total,
      [protocol: metadata.protocol, result: metadata.result]
    )
  end
  
  defp record_economic_activity(measurements, metadata) do
    :prometheus_counter.inc(
      :mabeam_auctions_completed,
      [type: metadata.auction_type]
    )
    
    :prometheus_histogram.observe(
      :mabeam_auction_participation,
      measurements.participants
    )
    
    if measurements.winning_bid > 0 do
      :prometheus_histogram.observe(
        :mabeam_auction_winning_bids,
        [type: metadata.auction_type],
        measurements.winning_bid
      )
    end
  end
end

Performance Optimization Patterns

ETS Optimization Strategies

defmodule Foundation.MABEAM.Performance do
  @moduledoc """
  Performance optimization patterns for MABEAM operations
  """
  
  # ETS read optimization
  def optimized_agent_lookup(agent_id) when is_binary(agent_id) do
    # Direct ETS read - microsecond latency
    case :ets.lookup(:mabeam_agents_main, agent_id) do
      [{^agent_id, agent_info}] -> {:ok, agent_info}
      [] -> {:error, :not_found}
    end
  end
  
  # Bulk operations optimization
  def bulk_agent_lookup(agent_ids) when is_list(agent_ids) do
    # Parallel ETS reads
    agent_ids
    |> Task.async_stream(&optimized_agent_lookup/1, max_concurrency: System.schedulers_online())
    |> Enum.map(fn {:ok, result} -> result end)
  end
  
  # Capability index optimization
  def fast_capability_search(capability, limit \\ 100) do
    :ets.select(:mabeam_capability_index, [
      {{{capability, :"$1"}, :"$2"}, [], [:"$1"]}
    ], limit)
  end
  
  # Memory-efficient batch operations
  def batch_update_health_status(health_updates) do
    # Prepare batch updates
    updates = Enum.map(health_updates, fn {agent_id, health_info} ->
      {agent_id, health_info}
    end)
    
    # Atomic batch insert
    :ets.insert(:mabeam_health_index, updates)
  end
end

Conclusion

This Foundation MABEAM architecture provides a production-grade multi-agent orchestration system that leverages advanced patterns discovered in lib_old while maintaining OTP compliance and fault tolerance. The architecture enables revolutionary capabilities including:

  1. High-Performance Agent Registry with microsecond read latency and comprehensive indexing
  2. Advanced Coordination Protocols supporting hierarchical consensus and Byzantine fault tolerance
  3. Economic Coordination Mechanisms with sophisticated auction systems and reputation tracking
  4. Production-Ready Monitoring with comprehensive telemetry and performance optimization

The architecture is designed for cluster deployment with distributed coordination capabilities while maintaining the simplicity and reliability of Elixir/OTP systems.