Complete BZZZ functionality port to CHORUS

🎭 CHORUS now contains full BZZZ functionality adapted for containers

Core systems ported:
- P2P networking (libp2p with DHT and PubSub)
- Task coordination (COOEE protocol)
- HMMM collaborative reasoning
- SHHH encryption and security
- SLURP admin election system
- UCXL content addressing
- UCXI server integration
- Hypercore logging system
- Health monitoring and graceful shutdown
- License validation with KACHING

Container adaptations:
- Environment variable configuration (no YAML files)
- Container-optimized logging to stdout/stderr
- Auto-generated agent IDs for container deployments
- Docker-first architecture

All proven BZZZ P2P protocols, AI integration, and collaboration
features are now available in containerized form.

Next: Build and test container deployment.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

pkg/slurp/distribution/doc.go

@@ -0,0 +1,86 @@
+// Package distribution provides context network distribution capabilities via DHT integration.
+//
+// This package implements distributed context sharing across the BZZZ cluster using
+// the existing Distributed Hash Table (DHT) infrastructure. It provides role-based
+// encrypted distribution, conflict resolution, and eventual consistency for context
+// data synchronization across multiple nodes.
+//
+// Key Features:
+//   - DHT-based distributed context storage and retrieval
+//   - Role-based encryption for secure context sharing
+//   - Conflict resolution for concurrent context updates
+//   - Eventual consistency with vector clock synchronization
+//   - Replication factor management for fault tolerance
+//   - Network partitioning resilience and recovery
+//   - Efficient gossip protocols for metadata synchronization
+//
+// Core Components:
+//   - ContextDistributor: Main interface for distributed context operations
+//   - DHTStorage: DHT integration for context storage and retrieval
+//   - ConflictResolver: Handles conflicts during concurrent updates
+//   - ReplicationManager: Manages context replication across nodes
+//   - GossipProtocol: Efficient metadata synchronization
+//   - NetworkManager: Network topology and partition handling
+//
+// Integration Points:
+//   - pkg/dht: Existing BZZZ DHT infrastructure
+//   - pkg/crypto: Role-based encryption and decryption
+//   - pkg/election: Leader coordination for conflict resolution
+//   - pkg/slurp/context: Context types and validation
+//   - pkg/slurp/storage: Storage interfaces and operations
+//
+// Example Usage:
+//
+//	distributor := distribution.NewContextDistributor(dht, crypto, election)
+//	ctx := context.Background()
+//	
+//	// Distribute context to cluster with role-based encryption
+//	err := distributor.DistributeContext(ctx, contextNode, []string{"developer", "architect"})
+//	if err != nil {
+//	    log.Fatal(err)
+//	}
+//	
+//	// Retrieve distributed context for a role
+//	resolved, err := distributor.RetrieveContext(ctx, address, "developer")
+//	if err != nil {
+//	    log.Fatal(err)
+//	}
+//	
+//	// Synchronize with other nodes
+//	err = distributor.Sync(ctx)
+//	if err != nil {
+//	    log.Printf("Sync failed: %v", err)
+//	}
+//
+// Distribution Architecture:
+// The distribution system uses a layered approach with the DHT providing the
+// underlying storage substrate, role-based encryption ensuring access control,
+// and gossip protocols providing efficient metadata synchronization. Context
+// data is partitioned across the cluster based on UCXL address hashing with
+// configurable replication factors for fault tolerance.
+//
+// Consistency Model:
+// The system provides eventual consistency with conflict resolution based on
+// vector clocks and last-writer-wins semantics. Leader nodes coordinate
+// complex conflict resolution scenarios and ensure cluster-wide consistency
+// convergence within bounded time periods.
+//
+// Security Model:
+// All context data is encrypted before distribution using role-specific keys
+// from the BZZZ crypto system. Only nodes with appropriate role permissions
+// can decrypt and access context information, ensuring secure collaborative
+// development while maintaining access control boundaries.
+//
+// Performance Characteristics:
+// - O(log N) lookup time for context retrieval
+// - Configurable replication factors (typically 3-5 nodes)
+// - Gossip synchronization in O(log N) rounds
+// - Automatic load balancing based on node capacity
+// - Background optimization and compaction processes
+//
+// Fault Tolerance:
+// The system handles node failures, network partitions, and data corruption
+// through multiple mechanisms including replication, checksums, repair
+// protocols, and automatic failover. Recovery time is typically proportional
+// to the size of affected data and available network bandwidth.
+package distribution