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:
- High-Performance Agent Registry with microsecond read latency and comprehensive indexing
- Advanced Coordination Protocols supporting hierarchical consensus and Byzantine fault tolerance
- Economic Coordination Mechanisms with sophisticated auction systems and reputation tracking
- 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.