<!-- START doctoc generated TOC please keep comment here to allow auto update -->
<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
**Table of Contents**

- [Hive Queen Swarm Coordination System](#hive-queen-swarm-coordination-system)
  - [Overview](#overview)
  - [Architecture](#architecture)
    - [Hive Structure](#hive-structure)
    - [Agent Roles](#agent-roles)
      - [Analyzer](#analyzer)
      - [VersionResolver](#versionresolver)
      - [ConflictDetector](#conflictdetector)
      - [Validator](#validator)
      - [Optimizer (Complex Configs)](#optimizer-complex-configs)
      - [PerformanceManager (Very Complex)](#performancemanager-very-complex)
  - [Orchestration Phases](#orchestration-phases)
    - [Phase 1: Analysis](#phase-1-analysis)
    - [Phase 2: Conflict Detection](#phase-2-conflict-detection)
    - [Phase 3: Conflict Resolution](#phase-3-conflict-resolution)
    - [Phase 4: Validation](#phase-4-validation)
    - [Phase 5: Final Orchestration](#phase-5-final-orchestration)
  - [Decision Making Process](#decision-making-process)
    - [Consensus Voting](#consensus-voting)
    - [Confidence Scores](#confidence-scores)
    - [Conflict Resolution Strategies](#conflict-resolution-strategies)
  - [Intelligent Features](#intelligent-features)
    - [Automatic Agent Spawning](#automatic-agent-spawning)
    - [Dynamic Topology](#dynamic-topology)
    - [Compatibility Matrix](#compatibility-matrix)
  - [Usage Example](#usage-example)
    - [Configuration Orchestration](#configuration-orchestration)
    - [From ggen.toml](#from-ggentoml)
  - [Advanced Features](#advanced-features)
    - [Custom Composition Rules](#custom-composition-rules)
    - [Performance Optimization](#performance-optimization)
    - [Adaptive Learning](#adaptive-learning)
  - [Monitoring and Debugging](#monitoring-and-debugging)
    - [Agent Logs](#agent-logs)
    - [Metrics Export](#metrics-export)
    - [Agent Performance](#agent-performance)
  - [Best Practices](#best-practices)
    - [1. Let Hive Queen Decide](#1-let-hive-queen-decide)
    - [2. Monitor Agent Logs](#2-monitor-agent-logs)
    - [3. Use Composition Strategies Appropriately](#3-use-composition-strategies-appropriately)
    - [4. Cache Compatibility Matrix](#4-cache-compatibility-matrix)
    - [5. Profile for Complex Configs](#5-profile-for-complex-configs)
  - [Troubleshooting](#troubleshooting)
    - [Agent Timeouts](#agent-timeouts)
    - [Consensus Failures](#consensus-failures)
    - [Performance Issues](#performance-issues)
  - [Future Enhancements](#future-enhancements)
    - [Phase 2: Machine Learning](#phase-2-machine-learning)
    - [Phase 3: Distributed Hives](#phase-3-distributed-hives)
    - [Phase 4: Autonomous Maintenance](#phase-4-autonomous-maintenance)
  - [References](#references)

<!-- END doctoc generated TOC please keep comment here to allow auto update -->

# Hive Queen Swarm Coordination System

Advanced multi-agent orchestration for intelligent ontology configuration and composition management.

## Overview

The Hive Queen is a distributed decision-making system that automatically orchestrates configuration resolution, conflict detection, and composition optimization using swarm intelligence principles.

## Architecture

### Hive Structure

```
┌─────────────────────────────────────────┐
│         Hive Queen (Coordinator)         │
│   - Central State Management             │
│   - Agent Orchestration                  │
│   - Decision Making                      │
└────────┬────────────────────────────┬───┘
         │                            │
    ┌────▼────┐    ┌────────┐   ┌────▼────┐
    │ Analyzer │    │Resolver│   │Detector │
    └─────┬────┘    └────┬───┘   └────┬────┘
          │              │             │
          └──────────────┼─────────────┘
                    Shared State
                (Suggestions, Consensus,
                 Conflicts, Compatibility)
```

### Agent Roles

#### Analyzer
- **Purpose**: Analyze current configuration
- **Expertise**: Versioning, compatibility
- **Outputs**: Configuration insights
- **Decision**: What packs are compatible?

#### VersionResolver
- **Purpose**: Resolve version conflicts
- **Expertise**: Semantic versioning, ranges
- **Outputs**: Suggested versions
- **Decision**: Which version satisfies constraints?

#### ConflictDetector
- **Purpose**: Identify composition conflicts
- **Expertise**: Compatibility matrices
- **Outputs**: Conflict reports
- **Decision**: Do these packs conflict?

#### Validator
- **Purpose**: Validate composition safety
- **Expertise**: Schema validation, constraints
- **Outputs**: Validation reports
- **Decision**: Is this composition safe?

#### Optimizer (Complex Configs)
- **Purpose**: Recommend optimizations
- **Expertise**: Performance, caching
- **Outputs**: Optimization suggestions
- **Decision**: How to optimize code gen?

#### PerformanceManager (Very Complex)
- **Purpose**: Manage cache and performance
- **Expertise**: Caching, memory management
- **Outputs**: Performance metrics
- **Decision**: What should we cache?

## Orchestration Phases

### Phase 1: Analysis

```
Input: OntologyConfig
  ↓
Analyzer Agent examines:
  - Pack count and complexity
  - Version constraints
  - Composition strategy
  - Target languages
  ↓
Output: Configuration Insights
```

### Phase 2: Conflict Detection

```
Agents scan for conflicts:
  - Version mismatches
  - Class name collisions
  - Property type conflicts
  - Namespace overlaps
  ↓
Conflict Matrix built
  ↓
Output: List of Conflicts
```

### Phase 3: Conflict Resolution

```
For each conflict:
  - Analyze type (version, class, namespace, property)
  - Apply composition strategy
  - Vote on resolution
  - Build consensus
  ↓
Output: Resolved Conflicts
```

### Phase 4: Validation

```
Verify:
  - All conflicts resolved
  - No circular dependencies
  - Type consistency
  - Cardinality constraints
  ↓
Output: Validation Report
```

### Phase 5: Final Orchestration

```
Generate:
  - Resolved configuration
  - Statistics
  - Agent reports
  ↓
Output: ResolvedConfiguration
```

## Decision Making Process

### Consensus Voting

Agents vote on resolutions:

```
Conflict: "Which version of schema-org?"

Analyzer votes: 3.13.0 (based on constraints)
VersionResolver votes: 3.13.0 (satisfies ^3.13.0)
ConflictDetector votes: 3.13.0 (no conflicts)

Result: 3/3 consensus = 100% agreement
Decision: Use version 3.13.0
```

### Confidence Scores

Each suggestion includes confidence (0.0 - 1.0):

```rust
ResolutionSuggestion {
    agent_id: "analyzer-1",
    package_name: "schema-org",
    suggested_version: "3.13.0",
    confidence: 0.95,  // 95% confidence
    reasoning: "Satisfies constraint ^3.13.0 with optimal compatibility",
    metadata: {...}
}
```

### Conflict Resolution Strategies

Applied based on composition strategy:

```rust
match composition_strategy {
    Union => ConflictResolution::Merge,           // Include both
    Intersection => ConflictResolution::Exclude,  // Include neither
    Priority => ConflictResolution::UseFirst,     // First pack wins
    Custom => Apply custom rules
}
```

## Intelligent Features

### Automatic Agent Spawning

Hive Queen spawns agents based on configuration complexity:

```
Complexity      Agents Spawned
───────────────────────────────
1-3 packs       4 agents (base)
4-6 packs       5 agents (+ Optimizer)
7+ packs        6 agents (+ PerformanceManager)
```

### Dynamic Topology

Agent topology adapts to problem complexity:

- **Simple**: Direct point-to-point communication
- **Complex**: Hierarchical voting with aggregation
- **Very Complex**: Multi-stage consensus with fallback

### Compatibility Matrix

Tracks known compatible version pairs:

```
schema-org@3.13.0 + dublin-core@1.11.0 = ✓ Compatible
schema-org@3.12.0 + dublin-core@2.0.0  = ✗ Incompatible
foaf@0.1.0        + schema-org@*       = ✓ Compatible
```

## Usage Example

### Configuration Orchestration

```rust
use ggen_core::config::{OntologyConfig, OntologyPackRef, CompositionStrategy, HiveQueen};

#[tokio::main]
async fn main() -> Result<()> {
    // Create configuration
    let config = OntologyConfig::new()
        .with_pack(OntologyPackRef {
            name: "schema-org".to_string(),
            version: "^3.13.0".to_string(),
            namespace: None,
            classes: None,
            properties: None,
            source: None,
        })
        .with_pack(OntologyPackRef {
            name: "dublin-core".to_string(),
            version: "~1.11.0".to_string(),
            namespace: None,
            classes: None,
            properties: None,
            source: None,
        })
        .with_composition(CompositionStrategy::Union);

    // Create Hive Queen
    let mut hive = HiveQueen::new(config).await?;

    // Run intelligent orchestration
    let resolved = hive.orchestrate().await?;

    println!("Configuration resolved with {} agents", resolved.agents_involved);
    println!("Conflicts found: {}", resolved.conflicts_found);
    println!("Conflicts resolved: {}", resolved.conflicts_resolved);
    println!("Validation status: {}", resolved.validation_status);

    Ok(())
}
```

### From ggen.toml

```bash
# Hive Queen runs automatically
ggen ontology generate

# Verbose output shows agent decisions
ggen ontology generate --verbose

# Export agent logs
ggen ontology generate --export-agent-logs hive-report.json
```

## Advanced Features

### Custom Composition Rules

```toml
[ontology.composition.rules]
"schema-org" = "use-first"      # Prefer schema-org definitions
"dublin-core" = "merge"         # Merge with dublin-core
"foaf" = "exclude"              # Exclude FOAF classes
```

Hive Queen applies these rules during conflict resolution.

### Performance Optimization

Hive Queen optimizes for:

- **Speed**: Parallel agent execution
- **Memory**: Incremental conflict detection
- **Caching**: Compatibility matrix caching
- **Determinism**: Sorted iteration over all data structures

### Adaptive Learning

Future versions will support:

- Agent performance tracking
- Learning from past decisions
- Predictive conflict detection
- Automatic rule discovery

## Monitoring and Debugging

### Agent Logs

```bash
ggen ontology generate --verbose
# Output:
# [Analyzer-1] Found 2 packs to analyze
# [VersionResolver-1] Checking compatibility...
# [ConflictDetector-1] Scanning for conflicts...
# [Validator-1] Validating composition...
# [Orchestrator] Consensus reached: 4/4 agreement
```

### Metrics Export

```bash
ggen ontology generate --export-metrics hive-metrics.json

{
  "agents_spawned": 4,
  "agents_completed": 4,
  "total_tasks": 12,
  "consensus_agreements": 1,
  "consensus_level": 1.0,
  "conflicts_detected": 0,
  "conflicts_resolved": 0,
  "execution_time_ms": 245
}
```

### Agent Performance

```bash
ggen ontology hive info
# Output:
# Analyzer-1: 100% tasks complete, avg latency 50ms
# VersionResolver-1: 100% tasks complete, avg latency 45ms
# ConflictDetector-1: 100% tasks complete, avg latency 60ms
# Validator-1: 100% tasks complete, avg latency 55ms
```

## Best Practices

### 1. Let Hive Queen Decide

The system is designed to make good decisions automatically. Avoid overriding with custom rules unless necessary.

### 2. Monitor Agent Logs

Check verbose output to understand how conflicts were resolved.

### 3. Use Composition Strategies Appropriately

- **Union**: When combining complementary vocabularies
- **Intersection**: When you only need common concepts
- **Priority**: When one vocabulary is authoritative
- **Custom**: When you need fine-grained control

### 4. Cache Compatibility Matrix

For frequently used pack combinations, the compatibility matrix is cached automatically.

### 5. Profile for Complex Configs

For configurations with 10+ packs, profile agent performance:

```bash
ggen ontology generate --profile-agents > hive-profile.txt
```

## Troubleshooting

### Agent Timeouts

```bash
# Increase agent timeout
export GGEN_HIVE_AGENT_TIMEOUT=30000  # 30 seconds

ggen ontology generate
```

### Consensus Failures

```bash
# Check what agents disagree on
ggen ontology generate --verbose --debug-consensus

# Review conflict resolution rules
cat ggen.toml | grep -A 10 "[ontology.composition.rules]"
```

### Performance Issues

```bash
# Profile agent performance
ggen ontology generate --profile-agents

# Check compatibility matrix cache
ggen ontology hive cache status
```

## Future Enhancements

### Phase 2: Machine Learning

- Agent performance prediction
- Automatic rule discovery from successful decisions
- Anomaly detection for configuration issues

### Phase 3: Distributed Hives

- Multi-machine Hive Queen coordination
- Distributed conflict detection
- Federation of ontology systems

### Phase 4: Autonomous Maintenance

- Automatic deprecated pack detection
- Suggested upgrades
- Breaking change analysis

## References

- Swarm Intelligence Principles
- Byzantine Fault Tolerance
- Distributed Consensus Algorithms
