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MABEAM API REFERENCE

Documentation for MABEAM_API_REFERENCE from the Foundation repository.

Here’s the complete MABEAM_API_REFERENCE.md in full:

# MABEAM API Reference

## Overview

This document provides a comprehensive API reference for the Foundation MABEAM (Multi-Agent BEAM) system. MABEAM is a universal multi-agent coordination kernel built on Foundation's infrastructure, providing distribution-ready agent lifecycle management, economic coordination protocols, and serializable data structures.

**Key Design Principles:**
- **Agent Identity Over Process Identity**: All APIs use durable `agent_id` instead of PIDs
- **Serialization-First Data Structures**: Every structure avoids non-serializable terms
- **Communication Abstraction**: Abstract local vs. remote calls from day one
- **Asynchronous Coordination**: All protocols are non-blocking state machines
- **Conflict Resolution Primitives**: Build distributed conflict handling locally first

## Table of Contents

1. [Core Types (`Foundation.MABEAM.Types`)](#core-types)
2. [Process Registry (`Foundation.MABEAM.ProcessRegistry`)](#process-registry)
3. [Core Orchestrator (`Foundation.MABEAM.Core`)](#core-orchestrator)
4. [Coordination Framework (`Foundation.MABEAM.Coordination`)](#coordination-framework)
5. [Auction Coordination (`Foundation.MABEAM.Coordination.Auction`)](#auction-coordination)
6. [Market Coordination (`Foundation.MABEAM.Coordination.Market`)](#market-coordination)
7. [Communication Layer (`Foundation.MABEAM.Comms`)](#communication-layer)
8. [Configuration](#configuration)
9. [Examples](#examples)

---

## Core Types

### `Foundation.MABEAM.Types`

Provides type definitions and utility functions for the MABEAM system. All structures are 100% serializable.

#### Key Types

```elixir
@type agent_id :: atom() | String.t()
@type process_reference :: {:agent, agent_id()}

@type agent_config :: %{
  id: agent_id(),
  module: module(),                    # The GenServer module to start
  args: [term()],                      # Arguments for start_link
  type: agent_type(),                  # Classification for coordination
  capabilities: [atom()],              # What this agent can do
  restart_policy: restart_policy(),    # How to handle crashes
  resource_requirements: resource_spec(), # Resource needs
  metadata: map(),                     # Extensible metadata
  created_at: DateTime.t()             # Timestamp when config was created
}

@type agent_type :: 
  :coordinator | :worker | :monitor | :resource_provider | :optimizer

@type restart_policy :: %{
  strategy: :permanent | :temporary | :transient,
  max_restarts: non_neg_integer(),
  period_seconds: pos_integer(),
  backoff_strategy: :linear | :exponential | :fixed
}

@type resource_spec :: %{
  memory_mb: pos_integer(),
  cpu_weight: float(),
  network_priority: :low | :normal | :high,
  custom_resources: map()
}

@type universal_variable :: %{
  name: atom(),
  value: term(),
  version: pos_integer(),              # For optimistic concurrency
  last_modifier: agent_id(),
  conflict_resolution: conflict_resolution_strategy(),
  access_permissions: access_permissions(),
  metadata: map(),
  constraints: map(),                  # Variable constraints
  created_at: DateTime.t(),            # Creation timestamp
  updated_at: DateTime.t()             # Last update timestamp
}

@type conflict_resolution_strategy ::
  :last_write_wins | :consensus | :priority_based | {:custom, module(), atom()}

@type access_permissions :: 
  :public | :restricted | {:agents, [agent_id()]} | {:capabilities, [atom()]}

@type coordination_request :: %{
  protocol: atom(),                    # :auction, :consensus, :market
  type: request_type(),
  params: map(),
  timeout: pos_integer(),
  correlation_id: binary(),
  created_at: DateTime.t()             # Request creation timestamp
}

@type coordination_response :: %{
  correlation_id: binary(),
  response_type: response_type(),
  data: term(),
  confidence: float(),                 # Optional confidence score
  metadata: map()
}

@type request_type :: 
  :consensus | :negotiation | :auction | :market | :resource_allocation

@type response_type ::
  :success | :failure | :timeout | :partial

@type auction_spec :: %{
  type: atom(),                        # Auction type
  resource_id: term(),                 # Resource being auctioned
  participants: [agent_id()],          # Participating agents
  starting_price: number() | nil,      # Starting price (if applicable)
  payment_rule: atom(),                # Payment rule
  auction_params: map(),               # Type-specific parameters
  created_at: DateTime.t()             # Auction creation timestamp
}

#### Utility Functions

##### `new_agent_config/4`

Creates a new agent configuration with default values.

```elixir
@spec new_agent_config(agent_id(), module(), [term()], keyword()) :: agent_config()

Parameters:

  • id - Unique identifier for the agent
  • module - GenServer module to start
  • args - Arguments for start_link
  • opts - Optional configuration

Examples:

# Create a basic worker agent
config = Foundation.MABEAM.Types.new_agent_config(
  :worker_1, 
  MyApp.WorkerAgent, 
  [worker_id: 1]
)

# Create a coordinator with custom capabilities
config = Foundation.MABEAM.Types.new_agent_config(
  "coord_1", 
  MyApp.CoordinatorAgent, 
  [],
  type: :coordinator,
  capabilities: [:consensus, :auction_coordination],
  resources: %{memory_mb: 200, cpu_weight: 2.0}
)
new_variable/4

Creates a new universal variable with default configuration.

@spec new_variable(atom(), term(), agent_id(), keyword()) :: universal_variable()

Parameters:

  • name - Variable name identifier
  • value - Initial value (must be serializable)
  • creator_id - Agent that created the variable
  • opts - Optional configuration

Examples:

# Create a simple shared counter
var = Foundation.MABEAM.Types.new_variable(:counter, 0, :agent_1)

# Create a complex shared state variable
var = Foundation.MABEAM.Types.new_variable(
  "shared_state", 
  %{status: :ready, data: []}, 
  "coordinator",
  conflict_resolution: :consensus,
  permissions: :restricted,
  metadata: %{priority: :high}
)
new_coordination_request/4

Creates a coordination request structure.

@spec new_coordination_request(atom(), request_type(), map(), keyword()) :: coordination_request()

Examples:

request = Foundation.MABEAM.Types.new_coordination_request(
  :consensus_voting,
  :consensus,
  %{question: "Deploy v2.0?", options: [:yes, :no]},
  timeout: 30_000
)
new_auction_spec/3 and new_auction_spec/4

Creates an auction specification structure.

@spec new_auction_spec(atom(), term(), [agent_id()]) :: auction_spec()
@spec new_auction_spec(atom(), term(), [agent_id()], keyword()) :: auction_spec()

Examples:

# Basic sealed-bid auction
spec = Foundation.MABEAM.Types.new_auction_spec(
  :sealed_bid,
  :compute_resource_1,
  [:agent1, :agent2, :agent3]
)

# English auction with parameters
spec = Foundation.MABEAM.Types.new_auction_spec(
  :english,
  :premium_slot,
  [:bidder1, :bidder2],
  starting_price: 10,
  increment: 1,
  max_rounds: 10
)

# Dutch auction with parameters
spec = Foundation.MABEAM.Types.new_auction_spec(
  :dutch,
  :urgent_task,
  [:agent1],
  starting_price: 100,
  decrement: 5,
  min_price: 20
)

Process Registry

Foundation.MABEAM.ProcessRegistry

Advanced agent lifecycle management with distribution readiness. Manages agents by agent_id, not PID, making it naturally distributed-ready with pluggable backend architecture.

Backend Architecture

The ProcessRegistry uses a pluggable backend system for seamless evolution from single-node to distributed deployment:

defmodule Backend do
  @callback init(opts :: keyword()) :: {:ok, state :: term()} | {:error, reason :: term()}
  @callback register_agent(agent_entry()) :: :ok | {:error, reason :: term()}
  @callback update_agent_status(agent_id(), atom(), pid() | nil) :: :ok | {:error, reason :: term()}
  @callback get_agent(agent_id()) :: {:ok, agent_entry()} | {:error, :not_found}
  @callback unregister_agent(agent_id()) :: :ok | {:error, reason :: term()}
  @callback list_all_agents() :: [agent_entry()]
  @callback find_agents_by_capability([atom()]) :: {:ok, [agent_id()]} | {:error, reason :: term()}
  @callback get_agents_by_status(atom()) :: {:ok, [agent_entry()]} | {:error, reason :: term()}
  @callback cleanup_inactive_agents() :: {:ok, cleaned_count :: non_neg_integer()} | {:error, reason :: term()}
end

Available Backends:

  • Foundation.MABEAM.ProcessRegistry.LocalETS - Single-node ETS backend (current)
  • Foundation.MABEAM.ProcessRegistry.Horde - Distributed CRDT backend (future)

Public API

start_link/1

Starts the Process Registry service.

@spec start_link(keyword()) :: GenServer.on_start()

Options:

  • :backend - Backend module (default: LocalETS)
  • :config - Backend-specific configuration

Examples:

# Start with default LocalETS backend
{:ok, pid} = Foundation.MABEAM.ProcessRegistry.start_link()

# Start with custom configuration
{:ok, pid} = Foundation.MABEAM.ProcessRegistry.start_link(
  backend: Foundation.MABEAM.ProcessRegistry.LocalETS,
  config: %{cleanup_interval: 30_000, max_agents: 10_000}
)

# Future: Start with Horde backend for distribution
{:ok, pid} = Foundation.MABEAM.ProcessRegistry.start_link(
  backend: Foundation.MABEAM.ProcessRegistry.Horde,
  config: %{name: MABEAMRegistry, keys: :unique, members: :auto}
)
register_agent/1

Registers an agent with the registry.

@spec register_agent(agent_config()) :: :ok | {:error, term()}

Examples:

config = Foundation.MABEAM.Types.new_agent_config(
  :worker_1,
  MyApp.WorkerAgent,
  [task_queue: :default],
  type: :worker,
  capabilities: [:variable_access, :coordination, :optimization]
)

:ok = Foundation.MABEAM.ProcessRegistry.register_agent(config)
start_agent/1

Starts a registered agent.

@spec start_agent(agent_id()) :: {:ok, pid()} | {:error, term()}

Examples:

{:ok, pid} = Foundation.MABEAM.ProcessRegistry.start_agent(:worker_1)
stop_agent/1

Stops a running agent gracefully.

@spec stop_agent(agent_id()) :: :ok | {:error, term()}
restart_agent/1

Restarts an agent according to its restart policy.

@spec restart_agent(agent_id()) :: {:ok, pid()} | {:error, term()}
get_agent_info/1

Retrieves comprehensive agent information.

@spec get_agent_info(agent_id()) :: {:ok, agent_entry()} | {:error, :not_found}

Returns:

%{
  id: agent_id(),
  config: agent_config(),
  pid: pid() | nil,
  status: :registered | :starting | :active | :stopping | :stopped | :failed,
  node: node(),
  health: health_status(),
  start_time: DateTime.t() | nil,
  last_heartbeat: DateTime.t() | nil,
  restart_count: non_neg_integer(),
  resource_usage: resource_usage()
}
list_agents/0 and list_agents/1

Lists all registered agents, optionally with filters.

@spec list_agents() :: {:ok, [agent_info()]}
@spec list_agents(keyword()) :: {:ok, [agent_info()]} | {:error, :not_supported}
find_agents_by_capability/1

Finds agents with specific capabilities.

@spec find_agents_by_capability([atom()]) :: [agent_id()]

Examples:

# Find all agents capable of coordination
coordinators = Foundation.MABEAM.ProcessRegistry.find_agents_by_capability([:coordination])

# Find agents with multiple capabilities
optimizers = Foundation.MABEAM.ProcessRegistry.find_agents_by_capability(
  [:optimization, :resource_allocation]
)
find_agents_by_type/1

Finds agents by type.

@spec find_agents_by_type(agent_type()) :: [agent_id()]
get_agent_health/1

Gets current health status of an agent.

@spec get_agent_health(agent_id()) :: {:ok, :healthy | :degraded | :unhealthy} | {:error, term()}
get_agent_status/1

Gets the current status of an agent.

@spec get_agent_status(agent_id()) :: {:ok, agent_status()} | {:error, :not_found}
get_agent_pid/1

Gets the PID of a running agent.

@spec get_agent_pid(agent_id()) :: {:ok, pid()} | {:error, :not_found | :not_running}
get_agent_stats/1

Gets agent statistics.

@spec get_agent_stats(agent_id()) :: {:ok, map()} | {:error, :not_implemented | :not_found}

Agent Status Types:

@type agent_status :: :registered | :starting | :running | :stopping | :stopped | :failed

Core Orchestrator

Foundation.MABEAM.Core

Universal Variable Orchestrator for multi-agent coordination and system-wide state management.

Public API

start_link/1

Starts the MABEAM Core orchestrator service.

@spec start_link(keyword()) :: GenServer.on_start()
register_variable/1

Registers a universal variable with the Core orchestrator.

@spec register_variable(universal_variable()) :: :ok | {:error, term()}

Examples:

variable = Foundation.MABEAM.Types.new_variable(
  :global_config,
  %{setting: "default", enabled: true},
  :system,
  conflict_resolution: :consensus
)

:ok = Foundation.MABEAM.Core.register_variable(variable)
get_variable/1

Retrieves a variable’s current state.

@spec get_variable(atom()) :: {:ok, universal_variable()} | {:error, :not_found}
update_variable/3

Updates a variable’s value with conflict resolution.

@spec update_variable(atom(), term(), agent_id()) :: :ok | {:error, term()}
@spec update_variable(atom(), term(), agent_id(), keyword()) :: :ok | {:error, term()}

Examples:

# Simple update
:ok = Foundation.MABEAM.Core.update_variable(:counter, 42, :agent_1)

# Update with version check (optimistic concurrency)
:ok = Foundation.MABEAM.Core.update_variable(
  :shared_state, 
  %{status: :processing}, 
  :coordinator,
  expected_version: 5
)

# Update with custom conflict resolution
:ok = Foundation.MABEAM.Core.update_variable(
  :critical_config,
  %{max_connections: 1000},
  :admin_agent,
  conflict_resolution: :priority_based,
  priority: :high
)
list_variables/0

Lists all registered variables.

@spec list_variables() :: {:ok, [atom()]} | {:error, term()}
delete_variable/2

Deletes a variable (with authorization).

@spec delete_variable(atom(), agent_id()) :: :ok | {:error, term()}
coordinate_system/0

Initiates system-wide coordination across all registered agents and variables.

@spec coordinate_system() :: {:ok, [coordination_result()]} | {:error, term()}
get_system_status/0

Retrieves comprehensive system status.

@spec get_system_status() :: {:ok, system_status()} | {:error, term()}

Returns:

%{
  variables: %{atom() => universal_variable()},
  agents: [agent_id()],
  coordination_sessions: [session_info()],
  health: :healthy | :degraded | :unhealthy,
  metrics: system_metrics(),
  uptime: pos_integer(),
  resource_usage: system_resource_usage()
}
get_variable_history/2

Gets the change history for a variable.

@spec get_variable_history(atom(), keyword()) :: {:ok, [variable_change()]} | {:error, term()}
subscribe_to_variable/1

Subscribes to variable change notifications.

@spec subscribe_to_variable(atom()) :: :ok | {:error, term()}
unsubscribe_from_variable/1

Unsubscribes from variable change notifications.

@spec unsubscribe_from_variable(atom()) :: :ok | {:error, term()}
get_variable_statistics/1

Gets statistics for a specific variable.

@spec get_variable_statistics(atom()) :: {:ok, map()} | {:error, term()}

Returns:

%{
  update_count: non_neg_integer(),
  last_updated: DateTime.t(),
  conflict_count: non_neg_integer(),
  subscriber_count: non_neg_integer()
}

Coordination Framework

Foundation.MABEAM.Coordination

Advanced coordination protocols for multi-agent systems with pluggable protocol architecture.

Public API

start_link/1

Starts the Coordination service.

@spec start_link(keyword()) :: GenServer.on_start()
register_protocol/2

Registers a coordination protocol.

@spec register_protocol(atom(), coordination_protocol()) :: :ok | {:error, term()}

Protocol Structure:

@type coordination_protocol :: %{
  name: atom(),
  type: protocol_type(),
  algorithm: function(),
  timeout: pos_integer(),
  retry_policy: retry_policy(),
  validation: function() | nil,
  metadata: map()
}

@type protocol_type :: :consensus | :negotiation | :auction | :market | :custom

Examples:

protocol = %{
  name: :consensus_voting,
  type: :consensus,
  algorithm: &MyApp.ConsensusAlgorithms.majority_vote/1,
  timeout: 10_000,
  retry_policy: %{max_retries: 3, backoff: :exponential},
  validation: &MyApp.Validators.validate_consensus_input/1
}

:ok = Foundation.MABEAM.Coordination.register_protocol(:consensus_voting, protocol)
coordinate/4

Executes a coordination protocol with specified agents.

@spec coordinate(atom(), [agent_id()], map(), keyword()) :: {:ok, [coordination_result()]} | {:error, term()}

Parameters:

  • protocol_name - Name of the registered protocol
  • agent_ids - List of participating agents
  • context - Coordination context and parameters
  • opts - Optional execution parameters

Examples:

# Simple consensus
{:ok, results} = Foundation.MABEAM.Coordination.coordinate(
  :consensus_voting,
  [:agent1, :agent2, :agent3],
  %{question: "Should we proceed with deployment?", options: [:yes, :no]}
)

# Resource allocation with timeout
{:ok, results} = Foundation.MABEAM.Coordination.coordinate(
  :resource_allocation,
  [:worker1, :worker2, :worker3],
  %{resource: :cpu_time, available: 100, priority: :high},
  timeout: 15_000
)

# Async coordination
{:ok, session_id} = Foundation.MABEAM.Coordination.coordinate(
  :complex_negotiation,
  [:agent1, :agent2, :agent3, :agent4],
  %{negotiation_type: :multi_issue, deadline: DateTime.add(DateTime.utc_now(), 3600)},
  async: true
)
get_coordination_status/1

Gets the status of a coordination session.

@spec get_coordination_status(session_id()) :: {:ok, session_status()} | {:error, term()}
cancel_coordination/1

Cancels an active coordination session.

@spec cancel_coordination(session_id()) :: :ok | {:error, term()}
resolve_conflict/2

Resolves conflicts using specified strategies.

@spec resolve_conflict(conflict(), keyword()) :: {:ok, conflict_resolution()} | {:error, term()}

Examples:

conflict = %{
  type: :variable_conflict,
  variable: :shared_counter,
  conflicting_updates: [
    %{agent_id: :agent1, value: 10, version: 5, timestamp: DateTime.utc_now()},
    %{agent_id: :agent2, value: 15, version: 5, timestamp: DateTime.utc_now()}
  ]
}

{:ok, resolution} = Foundation.MABEAM.Coordination.resolve_conflict(
  conflict, 
  strategy: :consensus,
  participants: [:agent1, :agent2, :arbiter]
)
list_protocols/0

Lists all registered protocols.

@spec list_protocols() :: {:ok, [atom()]} | {:error, term()}
get_protocol_info/1

Gets information about a registered protocol.

@spec get_protocol_info(atom()) :: {:ok, coordination_protocol()} | {:error, term()}
update_protocol/2

Updates an existing coordination protocol.

@spec update_protocol(atom(), coordination_protocol()) :: :ok | {:error, term()}
unregister_protocol/1

Unregisters a coordination protocol.

@spec unregister_protocol(atom()) :: :ok | {:error, term()}
get_coordination_stats/0

Gets coordination system statistics.

@spec get_coordination_stats() :: {:ok, coordination_stats()}

Returns:

@type coordination_stats :: %{
  total_coordinations: non_neg_integer(),
  successful_coordinations: non_neg_integer(),
  failed_coordinations: non_neg_integer(),
  average_coordination_time: float()
}

Auction Coordination

Foundation.MABEAM.Coordination.Auction

Sophisticated auction mechanisms for resource allocation and parameter optimization with economic validation.

Public API

start_link/1

Starts the Auction coordination service.

@spec start_link(keyword()) :: GenServer.on_start()
run_auction/3

Runs an auction for resource allocation.

@spec run_auction(auction_spec(), [agent_id()], keyword()) :: {:ok, auction_result()} | {:error, term()}
sealed_bid_auction/3

Runs a sealed-bid auction.

@spec sealed_bid_auction(auction_spec(), [agent_id()], keyword()) :: {:ok, auction_result()} | {:error, term()}
open_bid_auction/3

Runs an open-bid auction.

@spec open_bid_auction(auction_spec(), [agent_id()], keyword()) :: {:ok, auction_result()} | {:error, term()}
dutch_auction/3

Runs a Dutch (descending price) auction.

@spec dutch_auction(auction_spec(), [agent_id()], keyword()) :: {:ok, auction_result()} | {:error, term()}
vickrey_auction/3

Runs a Vickrey (second-price sealed-bid) auction.

@spec vickrey_auction(auction_spec(), [agent_id()], keyword()) :: {:ok, auction_result()} | {:error, term()}

Auction Types:

  • :sealed_bid - Sealed-bid auction (first or second price)
  • :english - English (ascending) auction
  • :dutch - Dutch (descending) auction
  • :combinatorial - Combinatorial auction for bundles
  • :double - Double auction (simultaneous buy/sell)

Payment Rules:

  • :first_price - Winner pays their bid
  • :second_price - Winner pays second-highest bid
  • :vickrey - Truthful mechanism for combinatorial auctions

Examples:

# Sealed-bid auction with explicit bids
bids = [
  %{agent_id: :agent1, bid_amount: 100, metadata: %{strategy: :conservative}},
  %{agent_id: :agent2, bid_amount: 150, metadata: %{strategy: :aggressive}},
  %{agent_id: :agent3, bid_amount: 120, metadata: %{strategy: :balanced}}
]

{:ok, result} = Foundation.MABEAM.Coordination.Auction.run_auction(
  :cpu_resource,
  bids,
  auction_type: :sealed_bid,
  payment_rule: :second_price
)

# English auction with agent collection
{:ok, result} = Foundation.MABEAM.Coordination.Auction.run_auction(
  :memory_allocation,
  [:agent1, :agent2, :agent3],
  auction_type: :english,
  starting_price: 50,
  increment: 10,
  max_rounds: 20
)

# Dutch auction for time-sensitive resources
{:ok, result} = Foundation.MABEAM.Coordination.Auction.run_auction(
  :priority_slot,
  [:urgent_agent1, :urgent_agent2],
  auction_type: :dutch,
  starting_price: 200,
  decrement: 5,
  min_price: 50
)

# Combinatorial auction for resource bundles
bundles = [
  %{agent_id: :agent1, bundle: [:cpu, :memory], bid_amount: 200},
  %{agent_id: :agent2, bundle: [:cpu], bid_amount: 100},
  %{agent_id: :agent3, bundle: [:memory, :storage], bid_amount: 180}
]

{:ok, result} = Foundation.MABEAM.Coordination.Auction.run_auction(
  :resource_bundle,
  bundles,
  auction_type: :combinatorial,
  payment_rule: :vickrey
)
get_auction_status/1

Retrieves the current status of an auction.

@spec get_auction_status(auction_id()) :: {:ok, auction_status()} | {:error, :not_found}
cancel_auction/1

Cancels a running auction.

@spec cancel_auction(auction_id()) :: :ok | {:error, term()}
list_active_auctions/0

Lists all currently active auctions.

@spec list_active_auctions() :: {:ok, [auction_id()]} | {:error, term()}
get_auction_history/1

Gets the complete history of an auction.

@spec get_auction_history(reference()) :: {:ok, map()} | {:error, term()}
validate_economic_efficiency/1

Validates the economic efficiency of an auction result.

@spec validate_economic_efficiency(auction_result()) :: {:ok, map()} | {:error, term()}
get_auction_statistics/0

Gets auction system statistics.

@spec get_auction_statistics() :: {:ok, map()} | {:error, term()}

Returns:

%{
  total_auctions: non_neg_integer(),
  successful_auctions: non_neg_integer(),
  failed_auctions: non_neg_integer(),
  average_efficiency: float(),
  total_value_traded: float()
}

Auction Result Structure:

@type auction_result :: %{
  winner: agent_id() | nil,
  winning_bid: number() | nil,
  all_bids: [bid()],
  efficiency_score: float(),
  auction_type: atom(),
  metadata: map()
}

@type bid :: %{
  agent_id: agent_id(),
  amount: number(),
  metadata: map()
}

Market Coordination

Foundation.MABEAM.Coordination.Market

Market-based coordination mechanisms for resource allocation and price discovery with economic simulation capabilities.

Public API

start_link/1

Starts the Market coordination service.

@spec start_link(keyword()) :: GenServer.on_start()
create_market/1

Creates a new market for resource trading.

@spec create_market(market_spec()) :: {:ok, reference()} | {:error, term()}

Market Specification:

@type market_spec :: %{
  name: atom(),
  commodity: atom(),
  market_type: :continuous | :call | :sealed_bid,
  price_mechanism: :auction | :negotiation | :fixed,
  participants: [agent_id()],
  metadata: map()
}

Market Configuration:

@type market_config :: %{
  resource_type: atom(),
  initial_price: number(),
  price_adjustment_rate: float(),
  max_participants: pos_integer(),
  trading_rules: trading_rules(),
  market_type: market_type(),
  clearing_mechanism: clearing_mechanism()
}

@type market_type :: :continuous | :call | :double_auction
@type clearing_mechanism :: :uniform_price | :discriminatory | :vickrey

Examples:

market_config = %{
  resource_type: :compute_credits,
  initial_price: 100,
  price_adjustment_rate: 0.1,
  max_participants: 50,
  trading_rules: %{
    min_order_size: 1,
    max_order_size: 100,
    tick_size: 0.01,
    trading_hours: %{start: ~T[09:00:00], end: ~T[17:00:00]}
  },
  market_type: :continuous,
  clearing_mechanism: :uniform_price
}

{:ok, market_id} = Foundation.MABEAM.Coordination.Market.create_market(
  :compute_market,
  market_config
)
find_equilibrium/1

Finds market equilibrium for a given market.

@spec find_equilibrium(reference()) :: {:ok, market_equilibrium()} | {:error, term()}
close_market/1

Closes a market and returns final results.

@spec close_market(reference()) :: {:ok, market_result()} | {:error, term()}
submit_order/2

Submits an order to a market.

@spec submit_order(reference(), market_order()) :: :ok | {:error, term()}

Market Order:

@type market_order :: %{
  agent_id: agent_id(),
  type: :buy | :sell,
  quantity: number(),
  price: number() | :market,
  metadata: map()
}

Examples:

supply = [
  %{agent_id: :provider1, quantity: 100, min_price: 50, metadata: %{quality: :high}},
  %{agent_id: :provider2, quantity: 150, min_price: 45, metadata: %{quality: :standard}},
  %{agent_id: :provider3, quantity: 80, min_price: 55, metadata: %{quality: :premium}}
]

demand = [
  %{agent_id: :consumer1, quantity: 80, max_price: 65, metadata: %{urgency: :high}},
  %{agent_id: :consumer2, quantity: 120, max_price: 55, metadata: %{urgency: :normal}},
  %{agent_id: :consumer3, quantity: 60, max_price: 70, metadata: %{urgency: :low}}
]

{:ok, equilibrium} = Foundation.MABEAM.Coordination.Market.find_equilibrium(
  supply,
  demand
)
simulate_market/2

Simulates market dynamics over multiple periods.

@spec simulate_market(market_id(), simulation_config()) :: {:ok, simulation_result()} | {:error, term()}

Examples:

simulation_config = %{
  periods: 24,                          # 24-hour simulation
  demand_variation: 0.15,               # 15% demand variation
  supply_variation: 0.10,               # 10% supply variation
  learning_enabled: true,
  learning_rate: 0.05,
  shock_events: [
    %{period: 5, type: :demand_spike, magnitude: 0.3},
    %{period: 8, type: :supply_disruption, magnitude: 0.2},
    %{period: 15, type: :price_shock, magnitude: 0.25}
  ],
  agent_strategies: %{
    adaptive: 0.6,                      # 60% adaptive agents
    random: 0.2,                        # 20% random agents
    strategic: 0.2                      # 20% strategic agents
  }
}

{:ok, result} = Foundation.MABEAM.Coordination.Market.simulate_market(
  :compute_market,
  simulation_config
)
place_order/3

Places a buy or sell order in the market.

@spec place_order(market_id(), agent_id(), order()) :: {:ok, order_id()} | {:error, term()}
cancel_order/2

Cancels an existing order.

@spec cancel_order(market_id(), order_id()) :: :ok | {:error, term()}
get_market_status/1

Gets current market status and statistics.

@spec get_market_status(market_id()) :: {:ok, market_status()} | {:error, term()}
list_active_markets/0

Lists all currently active markets.

@spec list_active_markets() :: {:ok, [reference()]} | {:error, term()}
get_market_statistics/0

Gets market system statistics.

@spec get_market_statistics() :: {:ok, map()} | {:error, term()}

Returns:

%{
  total_markets: non_neg_integer(),
  successful_markets: non_neg_integer(),
  failed_markets: non_neg_integer(),
  total_trades: non_neg_integer(),
  total_volume: float(),
  average_efficiency: float()
}

Market Result Structures:

@type market_result :: %{
  trades: [trade()],
  clearing_price: number() | nil,
  total_volume: number(),
  market_efficiency: float(),
  participants: [agent_id()],
  metadata: map()
}

@type trade :: %{
  buyer: agent_id(),
  seller: agent_id(),
  quantity: number(),
  price: number(),
  timestamp: DateTime.t()
}

@type market_equilibrium :: %{
  equilibrium_price: number(),
  equilibrium_quantity: number(),
  consumer_surplus: number(),
  producer_surplus: number(),
  total_welfare: number()
}

Communication Layer

Foundation.MABEAM.Comms

Distribution-aware communication layer abstracting local vs. remote calls with automatic routing and retry policies.

Public API

start_link/1

Starts the Communication service.

@spec start_link(keyword()) :: GenServer.on_start()
request/2 and request/3

Sends a request to an agent and waits for a response.

@spec request(agent_id(), term()) :: {:ok, term()} | {:error, term()}
@spec request(agent_id(), term(), timeout_ms()) :: {:ok, term()} | {:error, term()}

Examples:

# Simple request with default timeout
{:ok, response} = Foundation.MABEAM.Comms.request(
  :worker_1,
  {:process_task, %{data: [1, 2, 3]}}
)

# Request with custom timeout
{:ok, response} = Foundation.MABEAM.Comms.request(
  :remote_agent,
  {:compute, %{algorithm: :complex}},
  30_000
)
send_request/3

Sends a request to an agent with automatic routing (wrapper around request/3).

@spec send_request(agent_id(), term(), timeout_ms()) :: {:ok, term()} | {:error, term()}
notify/2

Sends a fire-and-forget notification to an agent.

@spec notify(agent_id(), term()) :: :ok | {:error, term()}

Examples:

# Send notification
:ok = Foundation.MABEAM.Comms.notify(
  :worker_1,
  {:update_state, %{key: "value"}}
)
send_async_request/3

Sends an asynchronous request and returns a reference.

@spec send_async_request(agent_id(), term(), timeout_ms()) :: {:ok, reference()} | {:error, term()}
coordination_request/4

Sends a coordination request to an agent.

@spec coordination_request(agent_id(), atom(), map(), timeout_ms()) :: {:ok, term()} | {:error, term()}

Examples:

# Send coordination request
{:ok, result} = Foundation.MABEAM.Comms.coordination_request(
  :agent_id,
  :consensus,
  %{question: "Proceed?", options: [:yes, :no]},
  5000
)
broadcast/3

Broadcasts a message to multiple agents.

@spec broadcast([agent_id()], term(), keyword()) :: {:ok, [response()]} | {:error, term()}

Examples:

# Broadcast to all workers
{:ok, responses} = Foundation.MABEAM.Comms.broadcast(
  [:worker_1, :worker_2, :worker_3],
  {:system_announcement, "Maintenance window starting"},
  timeout: 5000
)

# Broadcast with partial failure tolerance
{:ok, responses} = Foundation.MABEAM.Comms.broadcast(
  [:agent_1, :agent_2, :agent_3, :agent_4],
  {:health_check, DateTime.utc_now()},
  allow_partial_failure: true,
  min_success_rate: 0.75
)
multicast/3

Sends a message to agents with specific capabilities.

@spec multicast([atom()], term(), keyword()) :: {:ok, [response()]} | {:error, term()}

Examples:

# Send to all agents with optimization capability
{:ok, responses} = Foundation.MABEAM.Comms.multicast(
  [:optimization],
  {:optimize_parameters, %{target: :efficiency}},
  timeout: 15_000
)
subscribe/2

Subscribes to events from specific agents.

@spec subscribe(agent_id(), [event_type()]) :: :ok | {:error, term()}

Examples:

# Subscribe to status updates
:ok = Foundation.MABEAM.Comms.subscribe(:worker_1, [:status_change, :error])

# Subscribe to all events from coordinator
:ok = Foundation.MABEAM.Comms.subscribe(:coordinator, :all)
unsubscribe/2

Unsubscribes from agent events.

@spec unsubscribe(agent_id(), [event_type()]) :: :ok | {:error, term()}
publish_event/3

Publishes an event to subscribers.

@spec publish_event(agent_id(), event_type(), term()) :: :ok | {:error, term()}
get_routing_table/0

Gets the current agent routing information.

@spec get_routing_table() :: {:ok, routing_table()} | {:error, term()}
get_communication_stats/0

Gets communication statistics.

@spec get_communication_stats() :: map()

Returns:

%{
  total_requests: non_neg_integer(),
  successful_requests: non_neg_integer(),
  failed_requests: non_neg_integer(),
  total_notifications: non_neg_integer(),
  coordination_requests: non_neg_integer(),
  average_response_time: float()
}

Configuration

MABEAM System Configuration

MABEAM can be configured through the application environment:

# In config/config.exs

# ProcessRegistry Configuration
config :foundation, Foundation.MABEAM.ProcessRegistry,
  backend: Foundation.MABEAM.ProcessRegistry.LocalETS,
  max_agents: 10_000,
  health_check_interval: 30_000,
  cleanup_interval: 60_000,
  auto_restart: true,
  resource_monitoring: true

# Core Orchestrator Configuration
config :foundation, Foundation.MABEAM.Core,
  max_variables: 5_000,
  coordination_timeout: 10_000,
  conflict_resolution_timeout: 5_000,
  history_retention: 1_000,
  telemetry_enabled: true,
  variable_cleanup_interval: 300_000

# Coordination Framework Configuration
config :foundation, Foundation.MABEAM.Coordination,
  default_timeout: 10_000,
  max_concurrent_coordinations: 500,
  protocol_registry_size: 100,
  session_cleanup_interval: 300_000,
  telemetry_enabled: true,
  metrics_enabled: true

# Auction Coordination Configuration
config :foundation, Foundation.MABEAM.Coordination.Auction,
  max_concurrent_auctions: 100,
  default_auction_timeout: 60_000,
  bid_collection_timeout: 30_000,
  auction_cleanup_interval: 60_000,
  economic_validation: true,
  efficiency_threshold: 0.8,
  payment_precision: 4

# Market Coordination Configuration
config :foundation, Foundation.MABEAM.Coordination.Market,
  max_markets: 50,
  equilibrium_calculation_timeout: 10_000,
  simulation_max_periods: 1_000,
  price_precision: 4,
  market_update_frequency: 5_000,
  historical_data_retention: 86_400_000  # 24 hours

# Communication Layer Configuration
config :foundation, Foundation.MABEAM.Comms,
  request_timeout: 5_000,
  max_concurrent_requests: 1_000,
  retry_policy: %{
    max_retries: 3,
    backoff: :exponential,
    base_delay: 100,
    max_delay: 10_000
  },
  telemetry_enabled: true,
  routing_cache_ttl: 60_000,
  event_buffer_size: 10_000

# Performance Tuning
config :foundation, :mabeam_performance,
  memory_limit_mb: 512,
  gc_frequency: 30_000,
  metrics_retention: 86_400_000,
  telemetry_buffer_size: 1_000

# Health Monitoring
config :foundation, :mabeam_health,
  global_health_check_interval: 30_000,
  health_check_timeout: 5_000,
  unhealthy_threshold: 3,
  degraded_threshold: 1,
  auto_recovery: true

Environment Variables

# Core Settings
export MABEAM_BACKEND=LocalETS
export MABEAM_MAX_AGENTS=10000
export MABEAM_MAX_VARIABLES=5000

# Performance
export MABEAM_COORDINATION_TIMEOUT=10000
export MABEAM_AUCTION_TIMEOUT=60000
export MABEAM_MEMORY_LIMIT_MB=512

# Monitoring
export MABEAM_TELEMETRY_ENABLED=true
export MABEAM_HEALTH_CHECK_INTERVAL=30000
export MABEAM_METRICS_RETENTION=86400000

Examples

Complete Multi-Agent Coordination Example

# 1. Start MABEAM services
{:ok, _} = Foundation.MABEAM.ProcessRegistry.start_link()
{:ok, _} = Foundation.MABEAM.Core.start_link()
{:ok, _} = Foundation.MABEAM.Coordination.start_link()
{:ok, _} = Foundation.MABEAM.Coordination.Auction.start_link()
{:ok, _} = Foundation.MABEAM.Coordination.Market.start_link()
{:ok, _} = Foundation.MABEAM.Comms.start_link()

# 2. Register and start agents
worker_config = Foundation.MABEAM.Types.new_agent_config(
  :worker_1,
  MyApp.WorkerAgent,
  [worker_id: 1],
  type: :worker,
  capabilities: [:coordination, :resource_bidding, :optimization]
)

coordinator_config = Foundation.MABEAM.Types.new_agent_config(
  :coordinator_1,
  MyApp.CoordinatorAgent,
  [coordinator_id: 1],
  type: :coordinator,
  capabilities: [:consensus, :auction_coordination, :market_making]
)

:ok = Foundation.MABEAM.ProcessRegistry.register_agent(worker_config)
:ok = Foundation.MABEAM.ProcessRegistry.register_agent(coordinator_config)

{:ok, _pid1} = Foundation.MABEAM.ProcessRegistry.start_agent(:worker_1)
{:ok, _pid2} = Foundation.MABEAM.ProcessRegistry.start_agent(:coordinator_1)

# 3. Register shared variables
task_queue = Foundation.MABEAM.Types.new_variable(
  :task_queue,
  [],
  :system,
  conflict_resolution: :consensus,
  permissions: :public
)

resource_pool = Foundation.MABEAM.Types.new_variable(
  :resource_pool,
  %{cpu: 100, memory: 1000, storage: 500},
  :system,
  conflict_resolution: :priority_based
)

:ok = Foundation.MABEAM.Core.register_variable(task_queue)
:ok = Foundation.MABEAM.Core.register_variable(resource_pool)

# 4. Register coordination protocols
consensus_protocol = %{
  name: :task_assignment,
  type: :consensus,
  algorithm: &MyApp.Protocols.task_assignment_consensus/1,
  timeout: 10_000,
  retry_policy: %{max_retries: 3, backoff: :exponential}
}

:ok = Foundation.MABEAM.Coordination.register_protocol(:task_assignment, consensus_protocol)

# 5. Execute coordination
{:ok, results} = Foundation.MABEAM.Coordination.coordinate(
  :task_assignment,
  [:worker_1, :worker_2, :worker_3],
  %{
    tasks: ["task_a", "task_b", "task_c"], 
    deadline: DateTime.add(DateTime.utc_now(), 3600),
    priority: :high
  }
)

# 6. Run auction for resource allocation
{:ok, auction_result} = Foundation.MABEAM.Coordination.Auction.run_auction(
  :premium_cpu_time,
  [:worker_1, :worker_2, :worker_3],
  auction_type: :sealed_bid,
  payment_rule: :second_price,
  timeout: 30_000
)

# 7. Create and operate market
market_config = %{
  resource_type: :compute_credits,
  initial_price: 10.0,
  price_adjustment_rate: 0.05,
  max_participants: 10,
  trading_rules: %{min_order_size: 1, max_order_size: 100}
}

{:ok, market_id} = Foundation.MABEAM.Coordination.Market.create_market(
  :compute_market,
  market_config
)

# 8. Update shared variables based on results
:ok = Foundation.MABEAM.Core.update_variable(
  :task_queue,
  results.task_assignments,
  :coordinator_1
)

:ok = Foundation.MABEAM.Core.update_variable(
  :resource_pool,
  auction_result.resource_allocations,
  :coordinator_1
)

# 9. Monitor system status
{:ok, status} = Foundation.MABEAM.Core.get_system_status()
IO.puts("System health: #{status.health}")
IO.puts("Active agents: #{length(status.agents)}")
IO.puts("Registered variables: #{map_size(status.variables)}")

Economic Market Simulation

# Create a comprehensive compute resource market
market_config = %{
  resource_type: :compute_units,
  initial_price: 10.0,
  price_adjustment_rate: 0.05,
  max_participants: 20,
  trading_rules: %{
    min_order_size: 1,
    max_order_size: 1000,
    tick_size: 0.01,
    trading_hours: %{start: ~T[00:00:00], end: ~T[23:59:59]}
  },
  market_type: :continuous,
  clearing_mechanism: :uniform_price
}

{:ok, market_id} = Foundation.MABEAM.Coordination.Market.create_market(
  :compute_market,
  market_config
)

# Define diverse market participants
suppliers = [
  %{agent_id: :datacenter_1, quantity: 1000, min_price: 8.0, metadata: %{region: :us_east, quality: :premium}},
  %{agent_id: :datacenter_2, quantity: 800, min_price: 9.0, metadata: %{region: :us_west, quality: :standard}},
  %{agent_id: :edge_provider, quantity: 200, min_price: 12.0, metadata: %{region: :edge, quality: :low_latency}},
  %{agent_id: :cloud_burst, quantity: 500, min_price: 15.0, metadata: %{region: :multi, quality: :burst}}
]

consumers = [
  %{agent_id: :ml_trainer, quantity: 500, max_price: 15.0, metadata: %{workload: :training, urgency: :medium}},
  %{agent_id: :web_service, quantity: 300, max_price: 11.0, metadata: %{workload: :serving, urgency: :high}},
  %{agent_id: :batch_processor, quantity: 400, max_price: 10.0, metadata: %{workload: :batch, urgency: :low}},
  %{agent_id: :research_lab, quantity: 200, max_price: 20.0, metadata: %{workload: :research, urgency: :variable}}
]

# Find initial equilibrium
{:ok, equilibrium} = Foundation.MABEAM.Coordination.Market.find_equilibrium(
  suppliers,
  consumers
)

IO.puts("Initial market equilibrium:")
IO.puts("  Price: $#{equilibrium.price}")
IO.puts("  Quantity: #{equilibrium.quantity} units")
IO.puts("  Economic efficiency: #{Float.round(equilibrium.efficiency * 100, 2)}%")
IO.puts("  Consumer surplus: $#{equilibrium.surplus.consumer}")
IO.puts("  Producer surplus: $#{equilibrium.surplus.producer}")

# Run comprehensive multi-period simulation
simulation_config = %{
  periods: 168,                         # One week (hourly periods)
  demand_variation: 0.2,                # 20% demand variation
  supply_variation: 0.1,                # 10% supply variation
  learning_enabled: true,
  learning_rate: 0.02,
  shock_events: [
    %{period: 24, type: :demand_spike, magnitude: 0.4, duration: 3},    # Day 2: High demand
    %{period: 72, type: :supply_disruption, magnitude: 0.3, duration: 6}, # Day 4: Supply issue
    %{period: 120, type: :price_shock, magnitude: 0.25, duration: 2},   # Day 6: Price volatility
    %{period: 144, type: :new_competitor, magnitude: 0.15, duration: 24} # Day 7: Market entry
  ],
  agent_strategies: %{
    adaptive: 0.5,                      # 50% adaptive learning agents
    random: 0.2,                        # 20% random behavior agents
    strategic: 0.2,                     # 20% strategic game-theory agents
    momentum: 0.1                       # 10% momentum-following agents
  },
  market_mechanisms: %{
    price_discovery: :continuous,
    clearing_frequency: :hourly,
    information_transparency: :partial
  }
}

{:ok, simulation} = Foundation.MABEAM.Coordination.Market.simulate_market(
  market_id,
  simulation_config
)

IO.puts("\nMarket simulation results (168-hour period):")
IO.puts("  Average efficiency: #{Float.round(simulation.average_efficiency * 100, 2)}%")
IO.puts("  Price stability: #{Float.round(simulation.price_stability * 100, 2)}%")
IO.puts("  Market volatility: #{Float.round(simulation.volatility * 100, 2)}%")
IO.puts("  Learning convergence: #{simulation.learning_effects.convergence_rate}")

# Analyze agent adaptations
Enum.each(simulation.agent_adaptations, fn adaptation ->
  IO.puts("  Agent #{adaptation.agent_id}: #{adaptation.strategy_evolution}")
end)

# Get final market status
{:ok, final_status} = Foundation.MABEAM.Coordination.Market.get_market_status(market_id)
IO.puts("\nFinal market state:")
IO.puts("  Current price: $#{final_status.current_price}")
IO.puts("  Active orders: #{final_status.active_orders}")
IO.puts("  Total volume traded: #{final_status.total_volume}")

Advanced Coordination Workflow

# Complex multi-protocol coordination example
defmodule MyApp.AdvancedCoordination do
  alias Foundation.MABEAM.{ProcessRegistry, Core, Coordination, Comms}
  
  def run_complex_workflow do
    # 1. Setup agents with different capabilities
    agents = setup_diverse_agents()
    
    # 2. Register multiple coordination protocols
    register_coordination_protocols()
    
    # 3. Create hierarchical coordination
    execute_hierarchical_coordination(agents)
  end
  
  defp setup_diverse_agents do
    # Coordinator agents
    coordinator_config = Foundation.MABEAM.Types.new_agent_config(
      :master_coordinator,
      MyApp.MasterCoordinator,
      [],
      type: :coordinator,
      capabilities: [:consensus, :auction_coordination, :conflict_resolution]
    )
    
    # Specialized worker agents
    ml_worker_config = Foundation.MABEAM.Types.new_agent_config(
      :ml_optimizer,
      MyApp.MLOptimizer,
      [model_type: :neural_network],
      type: :optimizer,
      capabilities: [:optimization, :learning, :resource_bidding]
    )
    
    resource_manager_config = Foundation.MABEAM.Types.new_agent_config(
      :resource_manager,
      MyApp.ResourceManager,
      [pool_size: 1000],
      type: :resource_provider,
      capabilities: [:resource_allocation, :monitoring, :auction_participation]
    )
    
    monitor_config = Foundation.MABEAM.Types.new_agent_config(
      :system_monitor,
      MyApp.SystemMonitor,
      [check_interval: 5000],
      type: :monitor,
      capabilities: [:monitoring, :alerting, :health_assessment]
    )
    
    # Register and start all agents
    configs = [coordinator_config, ml_worker_config, resource_manager_config, monitor_config]
    
    Enum.each(configs, fn config ->
      :ok = ProcessRegistry.register_agent(config)
      {:ok, _pid} = ProcessRegistry.start_agent(config.id)
    end)
    
    Enum.map(configs, & &1.id)
  end
  
  defp register_coordination_protocols do
    # Multi-level consensus protocol
    consensus_protocol = %{
      name: :hierarchical_consensus,
      type: :consensus,
      algorithm: &MyApp.Protocols.hierarchical_consensus/1,
      timeout: 15_000,
      retry_policy: %{max_retries: 5, backoff: :exponential}
    }
    
    # Resource negotiation protocol
    negotiation_protocol = %{
      name: :resource_negotiation,
      type: :negotiation,
      algorithm: &MyApp.Protocols.multi_issue_negotiation/1,
      timeout: 30_000,
      retry_policy: %{max_retries: 3, backoff: :linear}
    }
    
    # Optimization coordination protocol
    optimization_protocol = %{
      name: :distributed_optimization,
      type: :custom,
      algorithm: &MyApp.Protocols.distributed_gradient_descent/1,
      timeout: 60_000,
      retry_policy: %{max_retries: 2, backoff: :fixed}
    }
    
    :ok = Coordination.register_protocol(:hierarchical_consensus, consensus_protocol)
    :ok = Coordination.register_protocol(:resource_negotiation, negotiation_protocol)
    :ok = Coordination.register_protocol(:distributed_optimization, optimization_protocol)
  end
  
  defp execute_hierarchical_coordination(agents) do
    # Phase 1: System-wide consensus on objectives
    {:ok, consensus_results} = Coordination.coordinate(
      :hierarchical_consensus,
      agents,
      %{
        objective: "optimize_system_performance",
        constraints: %{max_cost: 1000, min_efficiency: 0.85},
        voting_weights: %{
          master_coordinator: 3,
          ml_optimizer: 2,
          resource_manager: 2,
          system_monitor: 1
        }
      }
    )
    
    # Phase 2: Resource negotiation based on consensus
    if consensus_achieved?(consensus_results) do
      {:ok, negotiation_results} = Coordination.coordinate(
        :resource_negotiation,
        [:ml_optimizer, :resource_manager],
        %{
          resources_needed: consensus_results.agreed_resources,
          negotiation_rounds: 5,
          concession_strategy: :time_dependent
        }
      )
      
      # Phase 3: Distributed optimization execution
      if negotiation_successful?(negotiation_results) do
        {:ok, optimization_results} = Coordination.coordinate(
          :distributed_optimization,
          [:ml_optimizer],
          %{
            algorithm_params: negotiation_results.agreed_allocation,
            convergence_criteria: %{tolerance: 0.001, max_iterations: 100},
            communication_topology: :ring
          }
        )
        
        {:ok, %{
          consensus: consensus_results,
          negotiation: negotiation_results,
          optimization: optimization_results
        }}
      else
        {:error, :negotiation_failed}
      end
    else
      {:error, :consensus_failed}
    end
  end
  
  defp consensus_achieved?(results) do
    agreement_rate = Enum.count(results, &(&1.decision == :agree)) / length(results)
    agreement_rate >= 0.75
  end
  
  defp negotiation_successful?(results) do
    Map.get(results, :agreement_reached, false)
  end
end

Error Handling

All MABEAM APIs use structured error handling with detailed error information:

case Foundation.MABEAM.Coordination.coordinate(:invalid_protocol, [:agent1], %{}) do
  {:ok, results} -> 
    handle_success(results)
  
  {:error, %{
    type: :protocol_not_found,
    message: message,
    context: context,
    suggestions: suggestions
  }} ->
    Logger.error("Protocol not found: #{message}")
    Logger.info("Suggestions: #{inspect(suggestions)}")
    handle_protocol_error(context)
  
  {:error, %{
    type: :coordination_timeout,
    message: message,
    participants: failed_agents,
    partial_results: partial
  }} ->
    Logger.warn("Coordination timeout: #{message}")
    Logger.debug("Failed agents: #{inspect(failed_agents)}")
    handle_timeout(failed_agents, partial)
  
  {:error, %{
    type: :agent_unavailable,
    message: message,
    agent_id: agent_id,
    last_seen: timestamp
  }} ->
    Logger.error("Agent #{agent_id} unavailable: #{message}")
    Logger.debug("Last seen: #{timestamp}")
    handle_agent_unavailable(agent_id)
  
  {:error, %{
    type: :economic_validation_failed,
    message: message,
    violations: violations,
    auction_id: auction_id
  }} ->
    Logger.error("Economic validation failed for auction #{auction_id}: #{message}")
    Logger.debug("Violations: #{inspect(violations)}")
    handle_economic_violation(auction_id, violations)
  
  {:error, error} ->
    Logger.error("Coordination failed: #{inspect(error)}")
    handle_general_error(error)
end

Common Error Types

@type mabeam_error :: %{
  type: error_type(),
  message: String.t(),
  context: map(),
  timestamp: DateTime.t(),
  suggestions: [String.t()],
  retry_after: pos_integer() | nil
}

@type error_type ::
  :protocol_not_found |
  :agent_not_found |
  :agent_unavailable |
  :coordination_timeout |
  :auction_invalid_bids |
  :market_no_equilibrium |
  :variable_conflict |
  :permission_denied |
  :economic_validation_failed |
  :backend_error |
  :communication_failure |
  :resource_exhausted |
  :invalid_configuration

Integration with Foundation Services

MABEAM integrates seamlessly with Foundation’s core services:

Foundation Service Integration

  • Foundation.ProcessRegistry: Agent process registration and discovery
  • Foundation.ServiceRegistry: MABEAM service registration and health monitoring
  • Foundation.Events: Coordination events and audit trails
  • Foundation.Telemetry: Performance metrics and observability
  • Foundation.Config: Centralized configuration management

Telemetry Events

MABEAM emits comprehensive telemetry events:

# Agent lifecycle events
:telemetry.execute([:foundation, :mabeam, :agent, :registered], %{count: 1}, metadata)
:telemetry.execute([:foundation, :mabeam, :agent, :started], %{count: 1}, metadata)
:telemetry.execute([:foundation, :mabeam, :agent, :stopped], %{count: 1}, metadata)

# Coordination events
:telemetry.execute([:foundation, :mabeam, :coordination, :started], %{count: 1}, metadata)
:telemetry.execute([:foundation, :mabeam, :coordination, :completed], %{duration: ms}, metadata)
:telemetry.execute([:foundation, :mabeam, :coordination, :failed], %{count: 1}, metadata)

# Auction events
:telemetry.execute([:foundation, :mabeam, :auction, :started], %{participants: count}, metadata)
:telemetry.execute([:foundation, :mabeam, :auction, :completed], %{efficiency: score}, metadata)

# Market events
:telemetry.execute([:foundation, :mabeam, :market, :equilibrium_found], %{price: price}, metadata)
:telemetry.execute([:foundation, :mabeam, :market, :trade_executed], %{volume: volume}, metadata)

# Communication events
:telemetry.execute([:foundation, :mabeam, :comms, :request_sent], %{count: 1}, metadata)
:telemetry.execute([:foundation, :mabeam, :comms, :request_completed], %{duration: ms}, metadata)

Event Handling Example

defmodule MyApp.MABEAMTelemetryHandler do
  def handle_event([:foundation, :mabeam, :coordination, :completed], measurements, metadata, _config) do
    duration_ms = measurements.duration
    protocol = metadata.protocol
    participants = metadata.participants
    
    # Log performance metrics
    Logger.info("Coordination completed", [
      protocol: protocol,
      duration_ms: duration_ms,
      participants: length(participants)
    ])
    
    # Update performance dashboard
    MyApp.Dashboard.update_coordination_metrics(protocol, duration_ms)
    
    # Check for performance anomalies
    if duration_ms > 10_000 do
      MyApp.Alerts.send_performance_alert(protocol, duration_ms)
    end
  end
  
  def handle_event([:foundation, :mabeam, :auction, :completed], measurements, metadata, _config) do
    efficiency = measurements.efficiency
    auction_type = metadata.auction_type
    
    # Track economic efficiency
    MyApp.Economics.record_efficiency(auction_type, efficiency)
    
    # Alert on low efficiency
    if efficiency < 0.7 do
      MyApp.Alerts.send_efficiency_alert(auction_type, efficiency)
    end
  end
end

# Attach telemetry handlers
:telemetry.attach_many(
  "mabeam-telemetry-handler",
  [
    [:foundation, :mabeam, :coordination, :completed],
    [:foundation, :mabeam, :auction, :completed],
    [:foundation, :mabeam, :market, :equilibrium_found]
  ],
  &MyApp.MABEAMTelemetryHandler.handle_event/4,
  nil
)

Performance Considerations

Optimization Guidelines

  1. Agent Pool Management: Use agent pools for high-frequency operations
  2. Coordination Batching: Batch multiple coordination requests when possible
  3. Variable Caching: Cache frequently accessed universal variables
  4. Auction Optimization: Use appropriate auction types for different scenarios
  5. Market Efficiency: Configure market parameters for optimal performance

Performance Monitoring

# Monitor key performance metrics
defmodule MyApp.MABEAMPerformance do
  def monitor_performance do
    # Agent registration rate
    agent_reg_rate = measure_agent_registration_rate()
    
    # Coordination latency
    coord_latency = measure_coordination_latency()
    
    # Auction efficiency
    auction_efficiency = measure_auction_efficiency()
    
    # Market convergence time
    market_convergence = measure_market_convergence()
    
    %{
      agent_registration_rate: agent_reg_rate,
      coordination_latency: coord_latency,
      auction_efficiency: auction_efficiency,
      market_convergence: market_convergence
    }
  end
  
  defp measure_agent_registration_rate do
    # Implementation for measuring agent registration rate
    # Target: >1000 agents/second
  end
  
  defp measure_coordination_latency do
    # Implementation for measuring coordination latency
    # Target: <100ms for simple consensus with 10 agents
  end
  
  defp measure_auction_efficiency do
    # Implementation for measuring auction efficiency
    # Target: >0.85 economic efficiency
  end
  
  defp measure_market_convergence do
    # Implementation for measuring market convergence time
    # Target: <5 seconds for equilibrium finding
  end
end

Security Considerations

Authentication and Authorization

# Agent authentication example
defmodule MyApp.MABEAMSecurity do
  def authenticate_agent(agent_id, credentials) do
    case verify_agent_credentials(agent_id, credentials) do
      {:ok, agent_info} -> 
        {:ok, agent_info}
      {:error, reason} -> 
        Logger.warn("Agent authentication failed", agent_id: agent_id, reason: reason)
        {:error, :authentication_failed}
    end
  end
  
  def authorize_coordination(agent_id, protocol, context) do
    case check_coordination_permissions(agent_id, protocol, context) do
      :authorized -> 
        :ok
      :unauthorized -> 
        Logger.warn("Coordination authorization failed", 
          agent_id: agent_id, 
          protocol: protocol
        )
        {:error, :unauthorized}
    end
  end
  
  def authorize_variable_access(agent_id, variable_name, operation) do
    case check_variable_permissions(agent_id, variable_name, operation) do
      :authorized -> 
        :ok
      :unauthorized -> 
        Logger.warn("Variable access denied", 
          agent_id: agent_id, 
          variable: variable_name, 
          operation: operation
        )
        {:error, :access_denied}
    end
  end
end

Data Protection

  • All communication uses encrypted channels when distributed
  • Sensitive auction bids are protected until reveal phase
  • Variable access is controlled by permission systems
  • Audit trails are maintained for all operations

Migration Guide

From Legacy MABEAM to New Architecture

# Migration helper module
defmodule Foundation.MABEAM.Migration do
  @doc """
  Migrates from legacy PID-based agents to agent_id-based system
  """
  def migrate_legacy_agents(legacy_agents) do
    Enum.map(legacy_agents, fn {pid, config} ->
      # Extract agent information from legacy format
      agent_id = extract_agent_id(config)
      
      # Convert to new agent configuration format
      new_config = Foundation.MABEAM.Types.new_agent_config(
        agent_id,
        config.module,
        config.args,
        type: config.type || :worker,
        capabilities: config.capabilities || [],
        metadata: %{migrated_from: pid}
      )
      
      # Register with new ProcessRegistry
      :ok = Foundation.MABEAM.ProcessRegistry.register_agent(new_config)
      
      # Stop legacy agent and start new one
      :ok = GenServer.stop(pid)
      {:ok, new_pid} = Foundation.MABEAM.ProcessRegistry.start_agent(agent_id)
      
      {agent_id, new_pid}
    end)
  end
  
  @doc """
  Migrates legacy variables to universal variables
  """
  def migrate_legacy_variables(legacy_variables) do
    Enum.map(legacy_variables, fn {name, value, metadata} ->
      universal_var = Foundation.MABEAM.Types.new_variable(
        name,
        value,
        :migration_system,
        conflict_resolution: :last_write_wins,
        metadata: Map.put(metadata, :migrated, true)
      )
      
      :ok = Foundation.MABEAM.Core.register_variable(universal_var)
      universal_var
    end)
  end
end