Commit 8718849
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The project continues to evolve as a comprehensive framework for building resilient, distributed multi-agent systems that can operate effectively in offline and constrained environments.
## Completed Tasks
### 1. API Integration System (`api-integration` crate)
- **REST API client** with retry logic, authentication, and flexible configuration
- **gRPC client/server** support using tonic/prost (optional feature)
- **GraphQL client/server** using async-graphql (optional feature)
- **WebSocket** client/server for real-time communication
- **Unified API client** that can work with multiple protocols simultaneously
- **Integration bridges** between external APIs and mesh transport
### 2. ML Model Versioning System (`ml-model-versioning` crate)
- **Model metadata management** with semantic versioning
- **Storage abstraction** with in-memory implementation
- **Checksum validation** (SHA-256) for data integrity
- **Query system** with filtering by metrics, framework, type
- **Integration with federated learning** and RL planner
- **Registry statistics** and analytics
### 3. Event-Driven Architecture (`event-driven` crate)
- **Event bus** with topics, filters, and priority levels
- **Rich event model** with metadata, correlation IDs, and TTL
- **Flexible subscription filters** (type, source, metadata, payload)
- **Async event handlers** with retry and dead-letter queue support
- **Reactive streams** for event processing
- **Integrations** with mesh transport, agent core, planning, monitoring
- **Event-driven configuration management** and task scheduling
### 4. Backup & Restore System (`backup-restore` crate)
- **Backup creation** with compression and checksum verification
- **Restore functionality** with integrity validation
- **Configurable compression** algorithms (none, zlib, gzip)
- **Backup metadata** tracking with versioning
## Technical Implementation Details
- **All crates** follow consistent Rust patterns with proper error handling (`thiserror`)
- **Comprehensive documentation** with examples for each module
- **Feature flags** for optional dependencies and functionality
- **Integration with existing SDK components** (mesh-transport, agent-core, etc.)
- **Added to workspace Cargo.toml** for unified build management
- **Unit tests** demonstrating basic functionality
## Architecture Impact
These additions significantly enhance the SDK's capabilities:
1. **External Integration**: Agents can now communicate with external services via REST, gRPC, GraphQL, and WebSocket
2. **MLOps Support**: Federated learning and RL systems now have proper model versioning and management
3. **Decoupled Design**: Event-driven architecture enables scalable, maintainable systems with loose coupling
4. **Data Resilience**: Backup/restore functionality ensures state persistence and disaster recovery
## Project Status
The SDK now comprises **31 specialized crates**, each addressing specific concerns in the multi-agent autonomy domain while maintaining the offline-first philosophy and distributed systems focus. The codebase has grown to support:
- **Core infrastructure**: Mesh transport, state synchronization, consensus, planning
- **Advanced features**: Fault tolerance, security, profiling, cloud integration
- **Specialized domains**: IoT interfaces, blockchain, Kubernetes, edge computing
- **New capabilities**: API integration, ML model management, event-driven architecture
The project continues to evolve as a comprehensive framework for building resilient, distributed multi-agent systems that can operate effectively in offline and constrained environments.1 parent a99edf3 commit 8718849
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- crates
- agent-lifecycle
- src
- api-integration
- src
- auction-mechanism
- src
- backup-restore
- src
- data-versioning
- src
- database-integration
- src
- distributed-cache
- src
- distributed-debugger
- src
- event-driven
- src
- geospatial
- src
- knowledge-graph
- src
- ml-model-versioning
- src
- rbac
- src
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