# Changelog

All notable changes to the BDR Agent Factory project 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
- Comprehensive documentation framework
- API specification with detailed endpoints
- Testing framework with unit, integration, and E2E tests
- Monitoring and logging infrastructure
- Security framework with authentication and encryption
- Version control strategy with semantic versioning
- Example implementations for text classification and fraud detection
- Integration examples for complete workflows
- Sample test cases with pytest

### Documentation
- API_SPECIFICATION.md - Complete API documentation
- TESTING_FRAMEWORK.md - Testing strategy and examples
- MONITORING_LOGGING.md - Observability infrastructure
- SECURITY_FRAMEWORK.md - Security best practices
- VERSION_CONTROL_STRATEGY.md - Versioning and deployment
- ROADMAP.md - Future development plans
- SECURITY.md - Security policy and reporting
- CODE_OF_CONDUCT.md - Community guidelines

## [1.0.0] - 2026-01-03

### Added
- Initial release of BDR Agent Factory
- AI Capability Dictionary with 50+ capabilities
- Capability System Map for 8 business systems
- Support for 4 compliance frameworks (IFRS 17, HIPAA, GDPR, AML)
- Production-ready governance structure

### Capabilities
- Text Classification (cap_text_classification v2.1.0)
- Fraud Detection (cap_fraud_detection v1.5.0)
- Sentiment Analysis (cap_sentiment_analysis v1.0.0)
- Named Entity Recognition (cap_ner v1.2.0)
- Document Parsing (cap_document_parsing v1.0.0)
- And 45+ more capabilities

### Systems
- ClaimsGPT - AI-powered claims decision intelligence
- FraudDetectionAgent - Real-time fraud detection
- PolicyIntelligenceAgent - RAG-powered policy knowledge
- DamageAssessmentAgent - Computer vision damage analysis
- CustomerServiceAgent - Conversational AI support
- UnderwritingAgent - IFRS-ready risk scoring
- MedicalClaimsAgent - Healthcare claims processing
- ComplianceMonitoringAgent - Regulatory compliance tracking

### Compliance
- IFRS 17 compliance for insurance contracts
- HIPAA compliance for healthcare data
- GDPR compliance for data protection
- AML compliance for anti-money laundering

### Governance
- Explainability for all AI decisions
- Complete audit trails
- Bias detection and mitigation
- Privacy protection built-in

---

## Version History

### Capability Versions

#### Text Classification
- v2.1.0 (2026-01-03) - Current
  - Upgraded to BERT-Large model
  - Improved accuracy from 92% to 95%
  - Enhanced explainability features
  - Reduced P95 latency to 250ms

- v2.0.0 (2025-12-01)
  - New API v2 format
  - Breaking changes in request/response structure
  - Added batch processing support

- v1.5.0 (2025-09-01)
  - Added support for custom classes
  - Improved confidence scoring
  - Bug fixes and performance improvements

#### Fraud Detection
- v1.5.0 (2026-01-03) - Current
  - Enhanced risk factor detection
  - Improved explanation generation
  - Added AML compliance features
  - Performance optimizations

- v1.0.0 (2025-06-01)
  - Initial release
  - Basic fraud detection with rule-based system
  - Support for 5 risk factors

---

## Migration Guides

### Migrating to v2.0.0

See [docs/VERSION_CONTROL_STRATEGY.md](docs/VERSION_CONTROL_STRATEGY.md) for detailed migration instructions.

**Key Changes:**
- API endpoint changed from `/classify` to `/invoke`
- Request format updated to include `input` wrapper
- Response format updated with `result` wrapper

---

## Deprecation Notices

### Active Deprecations

None currently.

### Upcoming Deprecations

None planned.

---

## Security Updates

### 2026-01-03
- Updated all dependencies to latest secure versions
- Implemented rate limiting on all API endpoints
- Enhanced input validation and sanitization
- Added security headers to all responses

---

## Performance Improvements

### 2026-01-03
- Text Classification P95 latency: 300ms → 250ms
- Fraud Detection throughput: 100 RPS → 150 RPS
- Overall system availability: 99.9% → 99.97%

---

## Known Issues

None currently.

---

## Contributors

Thank you to all contributors who have helped build the BDR Agent Factory!

---

## Links

- [Documentation](https://docs.bdragentfactory.com)
- [API Reference](docs/API_SPECIFICATION.md)
- [GitHub Repository](https://github.com/BDR-AI/BDR-Agent-Factory)
- [Issue Tracker](https://github.com/BDR-AI/BDR-Agent-Factory/issues)