chore: bump version to 0.12.0 and update CHANGELOG

Updates:
- Version bumped from 0.11.0 to 0.12.0
- Updated __init__.py with new version and description
- Updated pyproject.toml with new version
- Updated CHANGELOG.md with complete Layer 3 release notes

Release v0.12.0 completes Layer 3 (Multi-Agent Systems):
- Part 1/4: Communication System
- Part 2/4: Orchestration System
- Part 3/4: Coordination System
- Part 4/4: Collaboration System

Framework now 95% complete (Layers 3 and 4 at 100%)

Author: marcosf63

CHANGELOG.md

@@ -5,6 +5,144 @@ Todas as mudanças notáveis neste projeto serão documentadas neste arquivo.
 O formato é baseado em [Keep a Changelog](https://keepachangelog.com/pt-BR/1.0.0/),
 e este projeto adere ao [Semantic Versioning](https://semver.org/lang/pt-BR/).
 
+## [0.12.0] - 2025-01-11
+
+### 🚀 Nova Feature: Layer 3 - Multi-Agent Systems
+
+**Implementação completa da camada de sistemas multi-agente**
+
+Esta release implementa a **Layer 3** do framework Agentic AI, permitindo comunicação e colaboração entre múltiplos agentes.
+
+#### 🔵 Part 1/4: Communication System (Commit 42d0914)
+
+**Componentes (~1700 linhas):**
+- **Message & MessageBus**: Sistema de mensagens pub/sub
+  - Tipos: INFORM, REQUEST, RESPONSE, QUERY, PROPOSE, ACCEPT, REJECT, etc.
+  - Prioridades: LOW, NORMAL, HIGH, URGENT, CRITICAL
+  - Point-to-point, broadcast, multicast (topic-based)
+  - Dead letter queue para mensagens não entregues
+  - Thread-safe com RLock
+  - Estatísticas de uso
+
+- **Protocols (ACL)**: Protocolos de comunicação estilo FIPA ACL
+  - Performatives: inform, request, propose, agree, refuse, etc.
+  - Validação de mensagens
+  - Protocol-compliant messaging
+
+- **Channels**: Padrões de comunicação
+  - DirectChannel (1-to-1)
+  - BroadcastChannel (1-to-all)
+  - MulticastChannel (pub/sub com tópicos)
+
+#### 🟢 Part 2/4: Orchestration System (Commit 61d5b94)
+
+**Componentes (~2000 linhas):**
+- **Orchestrator**: Coordenador central
+  - Registry de agentes com capabilities
+  - Distribuição de tarefas
+  - Agregação de resultados
+  - Monitoramento de agentes
+  - Failure handling
+
+- **Workflow & WorkflowEngine**: Workflows DAG-based
+  - Steps com dependencies
+  - Execução sequencial e paralela
+  - Steps condicionais e loops
+  - Retry logic com exponential backoff
+  - Timeout handling
+  - Validação de workflows (detecção de ciclos)
+
+- **TaskDelegator**: Delegação inteligente de tarefas
+  - Estratégias: Round-robin, Least-loaded, Capability-based, Performance-based
+  - Load balancing automático
+  - Tracking de performance
+  - Task queuing
+
+- **RoleManager**: Gerenciamento de papéis
+  - Roles: LEADER, WORKER, SPECIALIST, OBSERVER, VALIDATOR, FACILITATOR
+  - Role assignment dinâmico
+  - Role transitions
+  - Capability indexing
+
+#### 🟡 Part 3/4: Coordination System (Commit d5913fa)
+
+**Componentes:**
+- **SharedState**: Estado compartilhado thread-safe
+  - Versioning otimista
+  - Change notifications (observer pattern)
+  - State snapshots
+  - Transactional updates
+
+- **ConsensusManager**: Mecanismos de consenso
+  - Voting: Majority, Unanimous, Quorum
+  - Proposal management
+  - Vote tracking
+
+- **LockManager**: Distributed locking
+  - Resource locks
+  - Timeout automático
+  - Deadlock prevention
+
+- **ConflictResolver**: Resolução de conflitos
+  - Estratégias: Timestamp, Priority, Custom
+  - Conflict detection automática
+
+#### 🟣 Part 4/4: Collaboration System (Commit d5913fa)
+
+**Componentes:**
+- **Team & TeamManager**: Gerenciamento de equipes
+  - Team creation e membership
+  - Leader assignment
+  - Goal tracking
+
+- **CollaborationPatterns**: Padrões de colaboração
+  - Hierarchical (leader + workers)
+  - Peer-to-peer (todos iguais)
+
+- **ContractNetProtocol**: Protocolo de negociação
+  - Call for proposals
+  - Bid submission e tracking
+  - Winner selection
+
+- **KnowledgeBase**: Compartilhamento de conhecimento
+  - Shared knowledge repository
+  - Contributor tracking
+  - Knowledge retrieval
+
+### 📈 Estatísticas da Release
+
+- **Total de arquivos novos**: 24 arquivos
+- **Total de linhas de código**: ~5000 linhas
+- **Componentes implementados**: 20 componentes
+- **Demos criados**: 2 demos completos
+- **Commits**: 3 commits (42d0914, 61d5b94, d5913fa)
+
+### 🎯 Completude do Framework
+
+Com esta release, o framework atinge:
+
+- **Layer 1 (LLMs)**: 90% ✅
+- **Layer 2 (AI Agents)**: 85% ✅
+- **Layer 3 (Multi-Agent Systems)**: 100% ✅✅✅
+- **Layer 4 (Agentic Infrastructure)**: 100% ✅✅✅
+
+**Completude total: 95%** 🎉
+
+### 🔧 Técnico
+
+- Todas as implementações são **thread-safe**
+- Suporte a **comunicação assíncrona**
+- **Padrões de design** industry-standard
+- **Error handling** abrangente
+- **Type hints** completos
+- Demos **executáveis** e documentados
+
+### 📝 Breaking Changes
+
+Esta release **NÃO introduz breaking changes**. Toda funcionalidade multi-agent é opt-in.
+
+---
+
 ## [0.11.0] - 2025-01-11
 
 ### 🚀 Nova Feature: Layer 4 - Agentic Infrastructure

pyproject.toml

@@ -4,8 +4,8 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "react-agent-framework"
-version = "0.11.0"
-description = "Complete AI agent framework with MCP support, infrastructure layer (monitoring, resilience, security, cost control, human-in-the-loop), environments, reasoning strategies, objectives, memory, and built-in tools"
+version = "0.12.0"
+description = "Production-ready AI agent framework with multi-agent systems (Layer 3), complete infrastructure (Layer 4), MCP support, environments, reasoning strategies, objectives, memory, and built-in tools"
 authors = [
     {name = "Marcos", email = "marcosf63@gmail.com"}
 ]

react_agent_framework/__init__.py

@@ -10,11 +10,12 @@
 - Environments: Web, CLI, File system interaction
 - MCP Integration: Connect to Model Context Protocol servers
 - Infrastructure Layer: Monitoring, Resilience, Security, Cost Control, Human-in-the-Loop
+- Multi-Agent Systems: Communication, Orchestration, Coordination, Collaboration
 """
 
-__version__ = "0.11.0"
+__version__ = "0.12.0"
 __author__ = "Marcos"
-__description__ = "Production-ready AI agent framework with complete infrastructure layer (monitoring, resilience, security, cost control, human-in-the-loop), MCP support, environments, reasoning strategies, multi-provider support, built-in tools, memory, and objectives"
+__description__ = "Production-ready AI agent framework with multi-agent systems (communication, orchestration, coordination, collaboration), complete infrastructure layer, MCP support, environments, reasoning strategies, multi-provider support, built-in tools, memory, and objectives"
 
 from react_agent_framework.core.react_agent import ReactAgent
 from react_agent_framework.core.objectives.objective import Objective