# Sprint 42 Status Summary

**Date**: 2026-02-23
**Status**: ✅ COMPLETE (100% Implementation)

---

## Quick Status

```
✅ Adaptive Types:            src/agents/routing/adaptive-types.ts (~280 LOC)
✅ Pattern Analytics:         src/agents/routing/pattern-analytics.ts (~350 LOC)
✅ Adaptive Gates Manager:    src/agents/routing/adaptive-gates-manager.ts (~310 LOC)
✅ Pattern Feedback Loop:     src/agents/routing/pattern-feedback-loop.ts (~350 LOC)
🧪 Test Coverage:            2,004 tests passing (61 test files)
📈 New Tests:                53 tests added
```

---

## ✅ Sprint 42 Implementation Complete

### Adaptive Quality Tuning System

| Module | File | LOC | Purpose | Status |
|--------|------|-----|---------|--------|
| **Adaptive Types** | `adaptive-types.ts` | ~280 | Core types for adaptive quality | ✅ Complete |
| **Pattern Analytics** | `pattern-analytics.ts` | ~350 | Performance aggregation, trends | ✅ Complete |
| **Adaptive Gates Manager** | `adaptive-gates-manager.ts` | ~310 | Threshold management | ✅ Complete |
| **Pattern Feedback Loop** | `pattern-feedback-loop.ts` | ~350 | Learning cycle orchestration | ✅ Complete |

---

## 🏗️ Architecture

```
┌─────────────────────────────────────────────────────────────────┐
│                  Adaptive Quality Tuning                        │
│                                                                 │
│  ┌─────────────────────────────────────────────────────────┐   │
│  │              Pattern Feedback Loop                       │   │
│  │  • Records pattern outcomes                             │   │
│  │  • Tracks model affinity                                │   │
│  │  • Orchestrates learning cycles                         │   │
│  └────────────────────────┬────────────────────────────────┘   │
│                           │                                     │
│       ┌───────────────────┴───────────────────┐                │
│       ▼                                       ▼                │
│  ┌──────────────────┐             ┌──────────────────────┐    │
│  │ Pattern Analytics│             │Adaptive Gates Manager│    │
│  │                  │             │                      │    │
│  │ • Success rates  │────────────▶│ • Threshold mgmt    │    │
│  │ • Trends         │  recommend  │ • Min/max bounds    │    │
│  │ • Problematic    │  adjust     │ • History tracking  │    │
│  └──────────────────┘             └──────────────────────┘    │
│           │                                                     │
│           ▼                                                     │
│  ┌──────────────────────────────────────────────────────────┐  │
│  │              Pattern Manager (Fix Logging)               │  │
│  │  • 18 default patterns                                   │  │
│  │  • Success/failure metadata                              │  │
│  └──────────────────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────────────────┘
```

### Data Flow

1. **Execution**: Pattern executed by self-correction engine
2. **Recording**: Feedback Loop records outcome with model info
3. **Aggregation**: Analytics calculates success rates per pattern
4. **Trend Detection**: Identify improving/stable/declining patterns
5. **Recommendation**: Generate threshold adjustment suggestions
6. **Adaptation**: Gates Manager adjusts thresholds dynamically
7. **Learning Cycle**: Continuous improvement loop

---

## 📦 Key Features

### Pattern Analytics

```typescript
interface PatternAnalytics {
  // Aggregate success rates from PatternManager
  getPatternSuccessRates(): Promise<Map<string, number>>;

  // Detect performance trends
  detectTrend(patternId: string): 'improving' | 'stable' | 'declining';

  // Identify problematic patterns (<70% success)
  getProblematicPatterns(threshold?: number): Promise<PatternStats[]>;

  // Generate threshold adjustment recommendations
  generateRecommendations(): Promise<ThresholdRecommendation[]>;
}
```

**Trend Detection Algorithm**:
- **Improving**: Recent success rate > historical by 10%+
- **Declining**: Recent success rate < historical by 10%+
- **Stable**: Within ±10% of historical average

### Adaptive Gates Manager

```typescript
interface AdaptiveGatesManager {
  // Get current threshold for task type
  getThreshold(taskType: TaskType): number;

  // Adjust threshold (bounded: min 0.3, max 0.99)
  adjustThreshold(taskType: TaskType, delta: number): void;

  // Apply recommendations from analytics
  applyRecommendations(recs: ThresholdRecommendation[]): void;

  // Get adjustment history
  getHistory(taskType: TaskType): ThresholdAdjustment[];

  // Persist/restore state
  save(): Promise<void>;
  load(): Promise<void>;
}
```

**Threshold Bounds**:
- **Minimum**: 0.30 (never go below 30% quality)
- **Maximum**: 0.99 (allow some flexibility)
- **Default**: 0.70 (70% baseline for most tasks)

### Pattern Feedback Loop

```typescript
interface PatternFeedbackLoop {
  // Record pattern execution outcome
  recordOutcome(outcome: PatternOutcome): Promise<void>;

  // Track pattern-model affinity scores
  getModelAffinity(patternId: string): Map<string, number>;

  // Run learning cycle (aggregate + adjust)
  runLearningCycle(): Promise<LearningCycleResult>;

  // Get consultation decision for problematic patterns
  shouldConsult(patternId: string): ConsultationDecision;
}
```

**Consultation Triggers**:
- Pattern success rate < 60%
- Declining trend over 5+ occurrences
- Critical task type with any failure

---

## 📦 Core Types

### ThresholdRecommendation

```typescript
interface ThresholdRecommendation {
  taskType: TaskType;
  currentThreshold: number;
  recommendedThreshold: number;
  reason: AdjustmentReason;
  confidence: number;          // 0-1 confidence in recommendation
  basedOnPatterns: string[];   // Patterns driving this recommendation
}

type AdjustmentReason =
  | 'high_success_rate'        // Pattern succeeding, can lower threshold
  | 'low_success_rate'         // Pattern failing, raise threshold
  | 'declining_trend'          // Performance degrading
  | 'improving_trend'          // Performance improving
  | 'stability';               // No change needed
```

### PatternOutcome

```typescript
interface PatternOutcome {
  patternId: string;
  modelUsed: string;           // Model that executed the fix
  success: boolean;
  duration: number;
  taskType: TaskType;
  complexity: TaskComplexity;
  timestamp: string;
}
```

### ModelAffinity

```typescript
interface ModelAffinity {
  patternId: string;
  modelId: string;
  successRate: number;         // 0-1 success rate for this model-pattern pair
  sampleSize: number;          // Number of attempts
  avgDuration: number;         // Average fix duration
  lastUsed: string;            // ISO timestamp
}
```

---

## 🔄 Learning Cycle

### Cycle Steps

1. **Collect**: Gather recent pattern outcomes
2. **Aggregate**: Calculate success rates per pattern
3. **Analyze**: Detect trends (improving/declining/stable)
4. **Recommend**: Generate threshold adjustments
5. **Apply**: Update gates manager with bounded changes
6. **Log**: Record adjustments for audit trail

### Cycle Frequency

- **Default**: Every 50 pattern executions
- **Configurable**: Via `LEARNING_CYCLE_INTERVAL` env var
- **Manual**: `feedbackLoop.runLearningCycle()`

### Example Learning Output

```json
{
  "cycleId": "lc-20260223-001",
  "timestamp": "2026-02-23T15:30:00Z",
  "patternsAnalyzed": 18,
  "adjustmentsMade": 3,
  "adjustments": [
    {
      "taskType": "TYPE",
      "from": 0.70,
      "to": 0.65,
      "reason": "high_success_rate",
      "confidence": 0.85
    },
    {
      "taskType": "LINT",
      "from": 0.70,
      "to": 0.75,
      "reason": "low_success_rate",
      "confidence": 0.78
    }
  ]
}
```

---

## 🧪 Test Results

```
Test Files  61 passed (61)
     Tests  2004 passed | 1 skipped (2005)
  Duration  ~9s
```

### New Tests Added (53 tests)

| Test File | Tests | Coverage |
|-----------|-------|----------|
| `pattern-analytics.test.ts` | ~18 | Aggregation, trends, recommendations |
| `adaptive-gates-manager.test.ts` | ~20 | Threshold management, bounds, history |
| `pattern-feedback-loop.test.ts` | ~15 | Outcomes, affinity, learning cycles |

---

## 📁 File Structure

```
src/agents/routing/
├── adaptive-types.ts          ✅ ~280 LOC - Core types
├── pattern-analytics.ts       ✅ ~350 LOC - Performance analysis
├── adaptive-gates-manager.ts  ✅ ~310 LOC - Threshold management
├── pattern-feedback-loop.ts   ✅ ~350 LOC - Learning orchestration
├── quality-gates.ts           ✅ (Sprint 39) - Base quality gates
├── cost-optimizer.ts          ✅ (Sprint 39) - Budget tracking
└── model-selector.ts          ✅ (Sprint 39) - Model selection

tests/agents/routing/
├── pattern-analytics.test.ts       ✅ ~18 tests
├── adaptive-gates-manager.test.ts  ✅ ~20 tests
└── pattern-feedback-loop.test.ts   ✅ ~15 tests
```

---

## 🎯 Success Criteria

### Sprint 42 Complete When:

- [x] Adaptive types defined ✅
- [x] Pattern Analytics with trend detection ✅
- [x] Adaptive Gates Manager with bounds ✅
- [x] Pattern Feedback Loop ✅
- [x] Model affinity tracking ✅
- [x] Learning cycle orchestration ✅
- [x] Threshold adjustment history ✅
- [x] All 2,004 tests passing ✅
- [x] 53 new tests added ✅

**Final Progress**: 100% implementation

---

## 🔄 Integration Points

### Integrated With

| Component | Integration |
|-----------|-------------|
| **Pattern Manager** (Sprint 41) | Source of pattern success rates |
| **Quality Gates** (Sprint 39) | Receives threshold adjustments |
| **Model Selector** (Sprint 39) | Uses model affinity for selection |
| **Fix Logger** (Sprint 41) | Records execution outcomes |

### Future Integration

| Component | Purpose |
|-----------|---------|
| **MultiModelOrchestrator** (Sprint 39) | Consult for problematic patterns |
| **ResourceRouter** (Sprint 38) | Route based on affinity |
| **CLI** | `endiorbot tune` command for manual cycles |

---

## 💡 Usage Examples

### Running a Learning Cycle

```typescript
import { PatternFeedbackLoop, PatternAnalytics, AdaptiveGatesManager } from '@agents/routing';

const analytics = new PatternAnalytics();
const gatesManager = new AdaptiveGatesManager();
const feedbackLoop = new PatternFeedbackLoop(analytics, gatesManager);

// Record outcomes as patterns execute
await feedbackLoop.recordOutcome({
  patternId: 'TS2304',
  modelUsed: 'claude-sonnet-4.5',
  success: true,
  duration: 234,
  taskType: 'TYPE',
  complexity: 'moderate',
  timestamp: new Date().toISOString(),
});

// Run learning cycle (every 50 outcomes or manually)
const result = await feedbackLoop.runLearningCycle();
console.log(`Made ${result.adjustmentsMade} threshold adjustments`);
```

### Checking Consultation Need

```typescript
// Should we consult AI for this problematic pattern?
const decision = feedbackLoop.shouldConsult('TS2345');

if (decision.shouldConsult) {
  console.log(`Reason: ${decision.reason}`);
  // Route to MultiModelOrchestrator for AI consultation
}
```

### Getting Model Affinity

```typescript
// Which model works best for this pattern?
const affinity = feedbackLoop.getModelAffinity('no-unused-vars');

// Find best model
let bestModel = '';
let bestRate = 0;
for (const [model, rate] of affinity) {
  if (rate > bestRate) {
    bestModel = model;
    bestRate = rate;
  }
}
console.log(`Best model for no-unused-vars: ${bestModel} (${bestRate * 100}% success)`);
```

---

## 🚀 Sprint 43 Preview

Based on the Autonomy Epic plan, Sprint 43 will focus on:

### Desktop Interface Prep
- VSCode extension foundation
- WebSocket communication layer
- UI component library selection
- State synchronization between CLI and desktop

### Estimated Scope
- **LOC**: ~500 (extension scaffold, WebSocket handlers)
- **Tests**: ~30 tests
- **Duration**: 5-7 days

---

## 📊 Sprint Progress Summary

| Sprint | Focus | Status | Tests Added |
|--------|-------|--------|-------------|
| **Sprint 38** | Multi-Provider Architecture | ✅ Complete | +88 |
| **Sprint 39** | Multi-Model Orchestration | ✅ Complete | +163 |
| **Sprint 40** | Parallel Execution | ✅ Complete | +60 |
| **Sprint 41** | Fix Logging & Learning | ✅ Complete | +37 |
| **Sprint 42** | Adaptive Quality Tuning | ✅ Complete | +53 |
| **Total** | | | **+401** |

**Cumulative Test Coverage**: 2,004 tests (61 files)

---

*Sprint 42 Status - Adaptive Quality Tuning*
*Completed: 2026-02-23*
