swarm-shield 7.0.0
Swarm Shield - TGSC
License: MIT
Requires Python: <4.0,>=3.10
Keywords: artificial intelligence, deep learning, optimizers, Prompt Engineering, swarms, agents, llms, transformers, multi-agent, swarms of agents, Enterprise-Grade Agents, Production-Grade Agents, Agents, Multi-Grade-Agents, Swarms, Transformers, LLMs, Prompt Engineering, Agents, Generative Agents, Generative AI, Agent Marketplace, Agent Store, quant, finance, algorithmic trading, portfolio optimization, risk management, financial modeling, machine learning for finance, natural language processing for finance

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# SwarmShield 🛡️

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SwarmShield is an enterprise-grade security system for swarm-based multi-agent communications, providing military-grade encryption, secure conversation management, and comprehensive audit capabilities.

## Features 🚀

- **Multi-Layer Encryption**
  - AES-256-GCM encryption
  - SHA-512 hashing
  - HMAC authentication
  - Automatic key rotation

- **Secure Conversation Management**
  - Encrypted persistent storage
  - Thread-safe operations
  - Conversation history tracking
  - Comprehensive audit logs

- **Enterprise Features**
  - Role-based access control
  - Automated backups
  - Detailed analytics
  - Secure exports

## Installation 📦

```bash
pip install swarm-shield
```

## Quick Start 🏃‍♂️

```python

# Usage Example
from loguru import logger
from swarm_shield.main import EncryptionStrength, SwarmShield


if __name__ == "__main__":
    try:
        # Initialize SwarmShield
        shield = SwarmShield(encryption_strength=EncryptionStrength.MAXIMUM)
        
        # Create a conversation
        conversation_id = shield.create_conversation("Test Chat")
        
        # protect message
        shield.protect_message("agent_name", "We generated 3000000k this month ")
        
        # Add messages
        shield.add_message(conversation_id, "Agent1", "Hello, Agent2!")
        shield.add_message(conversation_id, "Agent2", "Hi Agent1, how are you?")
        
        # Get message history
        print("\nConversation History:")
        for agent, message, timestamp in shield.get_messages(conversation_id):
            print(f"{timestamp} - {agent}: {message}")
            
            
        # Get conversation overview
        summary = shield.get_conversation_summary(conversation_id)
        print(f"Messages: {summary['message_count']}")
        print(f"Participants: {summary['agents']}")
                    
            
        # Export conversation
        shield.export_conversation(conversation_id, format="json", path="chat.json")

        # Backup all conversations
        backup_path = shield.backup_conversations()
                    
            
        # Get agent activity stats
        stats = shield.get_agent_stats("Agent1")
        print(f"Total messages: {stats['total_messages']}")
        print(f"Active in {stats['conversations']} conversations")
            
        # Delete conversation
        shield.delete_conversation(conversation_id)
        
    except Exception as e:
        logger.error(f"Example failed: {e}")
        raise
```

## Security Features 🔒

### Encryption Levels

```python
# Standard: AES-256
shield = SwarmShield(encryption_strength=EncryptionStrength.STANDARD)

# Enhanced: AES-256 + SHA-512
shield = SwarmShield(encryption_strength=EncryptionStrength.ENHANCED)

# Maximum: AES-256 + SHA-512 + HMAC
shield = SwarmShield(encryption_strength=EncryptionStrength.MAXIMUM)
```

### Key Management

- Automatic key rotation
- Secure key storage
- Key versioning
- Cryptographic separation

### Message Security

- End-to-end encryption
- Message integrity verification
- Replay attack prevention
- Forward secrecy

## Enterprise Features 🏢

### Conversation Management

```python
# Search conversations
results = shield.query_conversations(
    agent_name="Agent1",
    text="mission",
    start_date=datetime(2025, 1, 1),
    limit=10
)

# Export conversations
shield.export_conversation(
    conversation_id,
    format="json",
    path="mission_logs.json"
)

# Create backups
backup_path = shield.backup_conversations()
```

### Analytics

```python
# Get agent statistics
stats = shield.get_agent_stats("Agent1")
print(f"Total messages: {stats['total_messages']}")
print(f"Active in {stats['conversations']} conversations")

# Get conversation summary
summary = shield.get_conversation_summary(conversation_id)
print(f"Participants: {summary['agents']}")
print(f"Message count: {summary['message_count']}")
```

## Production Best Practices 🛠️

1. **Key Rotation**
   - Set appropriate rotation intervals
   - Implement backup procedures
   - Monitor rotation events

2. **Storage**
   - Use secure storage paths
   - Implement backup strategy
   - Monitor storage usage

3. **Logging**
   - Configure appropriate log levels
   - Secure log storage
   - Regular log analysis

4. **Error Handling**
   - Implement proper error recovery
   - Monitor error rates
   - Set up alerts

## Contributing 🤝

We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.

1. Fork the repository
2. Create your feature branch
3. Submit a pull request

## Security 🔐

For security issues, please email security@swarms.ai rather than using issues.

## Testing ✅

Run the comprehensive test suite:

```bash
python swarm_shield_tests.py
```

## Support 💬

- Documentation: [https://swarms.ai/docs](https://swarms.ai/docs)
- Issues: [GitHub Issues](https://github.com/kyegomez/swarms/issues)
- Discord: [Join our community](https://discord.gg/swarms)
- Email: support@swarms.ai

## License 📄

MIT License - see [LICENSE](LICENSE) for details.

## Creator 👨‍💻

SwarmShield is created and maintained by Kye Gomez and the team at Swarms.AI.

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Made with ❤️ by [Swarms.AI](https://swarms.ai)