# Release Summary - Major Feature Upgrade

## 2.2.0 Highlights (2025-11-13)
- Adopted `min_delta` terminology across API/CLI and kept backwards-compatible warnings.
- Hardened LLM executor routing with configurable pricing, retries, and Prometheus `metamorphic_llm_retries_total`.
- Surfaced aggregated LLM cost/token/latency data in harness, JSON, and HTML reports.

## 🎉 Release Status: READY FOR PRODUCTION

This release represents a **substantial upgrade** to Metamorphic Guard, transforming it from an algorithm testing framework to a comprehensive LLM/AI evaluation platform.

## 📊 By The Numbers

- **40+ New Features** across 6 major categories
- **2,742+ Lines** of new code
- **31 Python Files** (7,024 total lines)
- **61 Tests** - All passing (100% pass rate)
- **6 Documentation Files** added
- **3 New Plugin Groups** (executors, mutants, judges)
- **20+ New Classes** added

## 🚀 Major Enhancements

### 1. LLM/AI Extensions (NEW CAPABILITY)
- ✅ 2 LLM providers (OpenAI, Anthropic)
- ✅ 6 prompt mutation strategies
- ✅ 4 output evaluation judges
- ✅ Cost and token tracking
- ✅ High-level evaluation API (LLMHarness)

### 2. Production-Ready Observability
- ✅ Structured JSON logging
- ✅ Prometheus metrics
- ✅ HTML reports with charts
- ✅ Grafana dashboards
- ✅ Failed artifact capture

### 3. Enhanced Developer Experience
- ✅ Interactive init wizard
- ✅ Plugin scaffolding
- ✅ Plugin registry CLI
- ✅ Comprehensive documentation

### 4. Performance Optimizations
- ✅ Adaptive batching
- ✅ Intelligent compression
- ✅ Worker health tracking
- ✅ Queue telemetry

### 5. Security Hardening
- ✅ API key redaction
- ✅ Input validation
- ✅ Structured error codes
- ✅ Sandboxed plugins

## ✅ Quality Assurance

- **All Tests Passing**: 61/61 (100%)
- **No Linter Errors**: Clean codebase
- **Security Verified**: API keys protected, inputs validated
- **Documentation Complete**: 6+ comprehensive guides
- **Edge Cases Handled**: Comprehensive error handling

## 📦 What's Included

### Core Features
- Performance & Pipeline (5 features)
- Observability (7 features)
- Developer Experience (6 features)
- Security & Sandboxing (4 features)
- Monitoring & Alerting (6 features)

### LLM Extensions
- Executors: OpenAI, Anthropic
- Mutants: 6 types (paraphrase, negation, role-swap, jailbreak, CoT, instruction)
- Judges: 4 types (length, PII, rubric, citation)
- LLMHarness: High-level evaluation API

## 🎯 Release Recommendation

**APPROVE FOR RELEASE** - This is a **major version upgrade** (v2.0.0 recommended) that:
- Maintains backward compatibility
- Adds substantial new features
- Improves quality and security
- Enables new use cases (LLM evaluation)

## 📚 Documentation

- `docs/final-release-assessment.md` - Complete feature verification
- `docs/comprehensive-review.md` - System review
- `docs/test-results.md` - Test verification
- `docs/llm-usage-example.md` - LLM usage guide
- `docs/llm-known-limitations.md` - Known issues
- `docs/roadmap-status.md` - Feature status

## ✨ Ready to Ship!

All systems verified, tested, and documented. Production-ready.

