# Changelog

All notable changes to the Nijika AI Agent Framework will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]

### Added
- Advanced workflow orchestration patterns
- GraphQL API support
- Multi-tenant architecture support
- Enhanced security features
- Real-time collaboration capabilities

### Changed
- Improved performance for large-scale deployments
- Enhanced error handling and recovery mechanisms

### Deprecated
- Legacy configuration format (will be removed in v2.0.0)

### Fixed
- Memory leaks in long-running agents
- Race conditions in parallel workflow execution

## [1.0.0] - 2025-01-16

### Added
- 🎉 **Initial stable release of Nijika AI Agent Framework**
- **Core Agent System**
  - Complete agent lifecycle management
  - Multi-provider support (OpenAI, Anthropic, Google, Azure)
  - Async/await architecture throughout
  - Comprehensive error handling and recovery
  - Agent state management and monitoring

- **Provider Management**
  - Multi-provider integration with unified interface
  - Automatic load balancing and failover
  - Circuit breaker pattern for fault tolerance
  - Rate limiting and cost optimization
  - Provider-specific configuration options

- **Memory Management System**
  - Persistent memory across agent sessions
  - Multiple memory types (conversation, execution, knowledge, episodic)
  - SQLite backend with cleanup and TTL management
  - Memory search and retrieval capabilities
  - Configurable memory limits and cleanup policies

- **RAG (Retrieval-Augmented Generation)**
  - Document processing and chunking
  - Vector embeddings and similarity search
  - Multiple vector store backends (ChromaDB, Pinecone, Qdrant)
  - Semantic search and context generation
  - Document metadata and filtering

- **Planning Engine**
  - Multiple planning strategies:
    - Sequential planning
    - Hierarchical task decomposition
    - Parallel execution planning
    - Reactive planning
    - Goal-oriented planning
  - Task optimization and dependency resolution
  - Plan execution monitoring and adaptation

- **Workflow Engine**
  - Complex workflow orchestration
  - Sequential, parallel, and conditional execution
  - Workflow checkpointing and recovery
  - Step-level error handling and retries
  - Workflow metrics and monitoring

- **Tool System**
  - Built-in tools:
    - Echo tool for message processing
    - Calculator for mathematical operations
    - HTTP request tool for API calls
    - File operations tool
  - Custom tool development framework
  - Tool sandboxing and security
  - Parameter validation and type checking

- **Configuration System**
  - YAML and JSON configuration support
  - Environment variable integration
  - Configuration validation and defaults
  - Hot configuration reloading
  - Multiple configuration sources

- **Security Features**
  - API key management and encryption
  - Tool execution sandboxing
  - Access control and authentication
  - Audit logging and compliance
  - Secure secret handling

- **Monitoring & Observability**
  - Structured logging with JSON format
  - Metrics collection and export
  - Performance monitoring
  - Health checks and diagnostics
  - Distributed tracing support

- **Documentation**
  - Comprehensive API documentation
  - Quick start guide and tutorials
  - Architecture documentation
  - Industry-specific examples
  - Best practices and deployment guides

### Technical Specifications
- **Python Support**: 3.8+
- **Async/Await**: Full asynchronous architecture
- **Database**: SQLite (default), PostgreSQL, MongoDB, Redis
- **Vector Stores**: ChromaDB, Pinecone, Qdrant
- **AI Providers**: OpenAI, Anthropic, Google, Azure OpenAI
- **Deployment**: Docker, Kubernetes, cloud platforms

### Performance Benchmarks
- **Simple Query**: < 500ms response time
- **Complex Workflow**: < 5s execution time
- **Memory Operations**: < 100ms read/write
- **RAG Retrieval**: < 100ms similarity search
- **Concurrent Users**: 1000+ supported
- **Memory Usage**: < 512MB per agent instance

### Industry Applications
- **Finance**: Fraud detection, risk assessment, trading algorithms
- **Healthcare**: Diagnosis assistance, patient care, medical research
- **E-commerce**: Product recommendations, customer support, inventory management
- **Education**: Personalized learning, content generation, assessment

### Examples Included
- Simple agent creation and execution
- Multi-provider configuration
- RAG system implementation
- Custom tool development
- Workflow orchestration
- Memory management
- Industry-specific use cases

### Development Tools
- **Testing**: Comprehensive test suite with pytest
- **Linting**: Black, flake8, mypy for code quality
- **Documentation**: Sphinx with auto-generated API docs
- **CI/CD**: GitHub Actions for automated testing and deployment
- **Pre-commit**: Automated code formatting and validation

### Package Structure
```
nijika/
├── core/           # Core agent and configuration
├── providers/      # AI provider implementations
├── memory/         # Memory management system
├── rag/           # RAG system components
├── planning/      # Planning engine
├── workflows/     # Workflow orchestration
├── tools/         # Built-in and custom tools
├── monitoring/    # Observability components
└── security/      # Security and authentication
```

### Installation Options
- **PyPI**: `pip install nijika`
- **Source**: `pip install -e .`
- **Docker**: `docker pull nijika/nijika:latest`
- **Development**: `pip install -e ".[dev]"`

### Configuration Examples
- Basic agent configuration
- Multi-provider setup
- RAG system configuration
- Memory backend options
- Security settings
- Production deployment configs

### Breaking Changes
- None (initial release)

### Migration Guide
- Initial release - no migration needed
- Getting started guide available
- Example configurations provided

### Known Issues
- None at release

### Contributors
- Initial development team
- Community contributors
- Beta testers and early adopters

### License
- MIT License
- Third-party license acknowledgments
- Open source dependencies listed

---

## [0.9.0] - 2025-01-10 (Beta Release)

### Added
- Beta release for community testing
- Core functionality implementation
- Basic documentation
- Example applications
- Testing framework

### Changed
- API stabilization
- Performance optimizations
- Error handling improvements

### Fixed
- Memory management issues
- Provider integration bugs
- Configuration validation problems

---

## [0.8.0] - 2025-01-05 (Alpha Release)

### Added
- Alpha release for early adopters
- Core agent implementation
- Basic provider support
- Memory system foundation
- Initial tool framework

### Known Issues
- Performance optimization needed
- Limited error handling
- Documentation incomplete

---

## [0.7.0] - 2024-12-20 (Development Release)

### Added
- Planning engine implementation
- Workflow orchestration
- RAG system foundation
- Tool registry system

### Changed
- Architecture refactoring
- API design improvements
- Code organization

---

## [0.6.0] - 2024-12-15 (Development Release)

### Added
- Multi-provider support
- Configuration system
- Basic memory management
- Core agent framework

### Changed
- Project structure
- Development workflow
- Testing approach

---

## [0.5.0] - 2024-12-10 (Development Release)

### Added
- Initial project structure
- Basic agent implementation
- Provider abstraction layer
- Development environment setup

---

## [0.4.0] - 2024-12-05 (Development Release)

### Added
- Core architecture design
- Provider integration planning
- Memory system design
- Tool system planning

---

## [0.3.0] - 2024-12-01 (Development Release)

### Added
- Project initialization
- Architecture planning
- Technology stack selection
- Development roadmap

---

## [0.2.0] - 2024-11-25 (Development Release)

### Added
- Requirements analysis
- System design
- Technical specifications
- Development planning

---

## [0.1.0] - 2024-11-20 (Development Release)

### Added
- Initial project concept
- Feature requirements
- Technology research
- Project planning

---

## Version History Summary

| Version | Date | Type | Key Features |
|---------|------|------|-------------|
| 1.0.0 | 2025-01-16 | Stable | Complete framework, production-ready |
| 0.9.0 | 2025-01-10 | Beta | Community testing, API stabilization |
| 0.8.0 | 2025-01-05 | Alpha | Early adopter release, core functionality |
| 0.7.0 | 2024-12-20 | Dev | Planning engine, workflow orchestration |
| 0.6.0 | 2024-12-15 | Dev | Multi-provider support, configuration |
| 0.5.0 | 2024-12-10 | Dev | Initial agent implementation |
| 0.4.0 | 2024-12-05 | Dev | Architecture design |
| 0.3.0 | 2024-12-01 | Dev | Project initialization |
| 0.2.0 | 2024-11-25 | Dev | Requirements analysis |
| 0.1.0 | 2024-11-20 | Dev | Project concept |

## Upgrade Guide

### From 0.9.x to 1.0.0
- No breaking changes
- New features available
- Performance improvements included
- Documentation updated

### From 0.8.x to 0.9.x
- Configuration format updated
- API changes in provider interface
- Memory system improvements
- Migration script available

### From 0.7.x to 0.8.x
- Major architecture changes
- New provider system
- Updated tool interface
- Manual migration required

## Support

For questions about specific versions or upgrade assistance:
- Check the [Migration Guide](docs/migration.md)
- Review [Breaking Changes](docs/breaking-changes.md)
- Join [GitHub Discussions](https://github.com/your-org/nijika/discussions)
- Contact support at support@nijika.ai

## Contributing

We welcome contributions! Please see:
- [Contributing Guide](CONTRIBUTING.md)
- [Development Setup](docs/development/setup.md)
- [Code Style Guide](docs/development/style.md)
- [Testing Guide](docs/development/testing.md)

## Acknowledgments

Special thanks to:
- Early adopters and beta testers
- Community contributors
- Open source projects we build upon
- AI research community

---

*This changelog is maintained by the Nijika development team and community contributors.* 