Files
APAW/agent-evolution/docs/model-evolution-guard.md
¨NW¨ 9e48a4960e fix: restore optimal v3 models + add fitness gate protection
- Restore all 30 agents to v3.html heatmap optimal models:
  * frontend-developer: qwen3-coder -> minimax-m2.5 (92★)
  * devops-engineer: nemotron-3-super -> kimi-k2.6:cloud (88★)
  * browser-automation: qwen3-coder -> kimi-k2.6:cloud (86★)
  * agent-architect: glm-5.1 -> kimi-k2.6:cloud (86★)
- Add Model Evolution Guard system:
  * agent-evolution/scripts/lib/fitness-gate.cjs
  * Rejects downgrades >3 points or below score 75
  * Produces detailed diff report before any file modifications
  * Normalized model ID lookup (v3.html ':' vs JSON '-')
- Update sync-benchmarks-from-yaml.cjs with fitness gate
- Update model-benchmarks.json with v3 optimal assignments
- Rebuild research-dashboard.html (104KB, 30 agents, 11 models)
- Add model-evolution-guard.md architecture documentation
- Add v3-optimal-models.json as source-of-truth reference

Fixes regression introduced by commit 3badb25 where models were
silently downgraded from heatmap optimal to inferior assignments.
2026-04-29 23:19:16 +01:00

215 lines
7.5 KiB
Markdown

# Model Evolution Guard System
## Problem Statement
During the bidirectional sync integration (`sync-benchmarks-from-yaml.cjs`), the script copied models from `capability-index.yaml` (which contained suboptimal assignments) into `model-benchmarks.json` as "current". This silently downgraded multiple agents from their ★-optimal heatmap scores:
| Agent | Optimal (v3 heatmap) | Downgraded To | Score Loss |
|-------|----------------------|---------------|------------|
| `lead-developer` | qwen3-coder:480b **(92★)** | nemotron-3-super | -22 |
| `system-analyst` | glm-5.1 **(90★)** | nemotron-3-super | -16 |
| `evaluator` | glm-5.1 | nemotron-3-super | -16 |
| `devops-engineer` | kimi-k2.6 **(88★)** | nemotron-3-super | -10 |
## Root Causes
1. **No single source of truth**`capability-index.yaml`, `kilo-meta.json`, agent `.md` files, and `model-benchmarks.json` could each claim to be canonical.
2. **No downgrade protection**`sync-benchmarks-from-yaml.cjs` blindly overwrote scores without checking if the new model was worse than the old.
3. **No fitness gate** — changes propagated to all downstream files (dashboard, configs) before any validation.
4. **Bidirectional sync ambiguity** — the sync was "YAML → JSON" but looked like "JSON ← YAML", creating confusion about direction.
## Architectural Solution: Model Evolution Guard (MEG)
### Layer 0: Single Source of Truth
```
PRIMARY: agent-evolution/data/model-benchmarks.json
└── source: heatmap_scores from agent_model_scores[]
└── validated_by: fitness gate (see below)
SECONDARY (derived, read-only for sync):
├── .kilo/capability-index.yaml ← receives models FROM benchmarks
├── .kilo/agents/*.md ← receive models FROM benchmarks via sync-agents.js
├── kilo-meta.json ← receives models FROM benchmarks
└── kilo.jsonc ← receives models FROM benchmarks
```
**Rule:** `model-benchmarks.json` is the ONLY file that contains heatmap-derived scores. All other configs receive models FROM it, never the reverse.
### Layer 1: Fitness Gate (Mandatory)
Every model change must pass the fitness gate. A change is "acceptable" only if:
```typescript
interface ModelFitnessGate {
// Agent's current score with existing model
previous_score: number;
// Agent's score with proposed model
proposed_score: number;
// Absolute minimum score for any agent
min_global_threshold: number; // e.g. 75
// Maximum regression allowed
max_regression: number; // e.g. -3 points
// Is proposed model in agent's top-N from heatmap?
top_n_required: number; // e.g. top-3
}
function isChangeAcceptable(gate: ModelFitnessGate): boolean {
if (gate.proposed_score < gate.min_global_threshold) return false;
if (gate.proposed_score < gate.previous_score - gate.max_regression) return false;
return true;
}
```
**Hard rule:** If `proposed_score < previous_score - 3`, the change MUST be rejected with a clear error. No exceptions.
### Layer 2: Immutable Recommendations
Recommendations in `model-benchmarks.json` are append-only. Once a recommendation is generated, it cannot be silently overwritten by a sync — it can only be superseded by a NEW recommendation with a higher timestamp.
```json
{
"recommendations": [
{
"agent": "lead-developer",
"from_model": "qwen3-coder:480b",
"to_model": "nemotron-3-super",
"score_delta": -22,
"status": "rejected",
"rejected_at": "2026-04-29T20:00:00Z",
"rejected_reason": "Downgrade: 92→70 exceeds max regression of 3"
}
]
}
```
### Layer 3: Sync Direction Lock
All sync scripts must declare their direction explicitly:
```typescript
// ✅ CORRECT: benchmarks → configs
// src: model-benchmarks.json
// dst: capability-index.yaml, agents/*.md, kilo-meta.json
// validates: fitness gate
// ❌ INCORRECT: configs → benchmarks
// This should NEVER happen. Benchmarks come from heatmap analytics only.
```
### Layer 4: Diff Report on Every Sync
Before writing any file, the sync script must produce:
```
=== Model Sync Diff Report ===
Agent Old Model Old Score New Model New Score Status
lead-developer qwen3-coder:480b 92★ nemotron-3-super 70 ⚠️ REJECTED (regression -22 > max -3)
system-analyst glm-5.1 90★ nemotron-3-super 74 ⚠️ REJECTED (regression -16 > max -3)
```
No files are modified until the DIFF is reviewed (or `--auto-approve` is used for improvements only).
### Layer 5: Recovery Checkpoint
Before any sync that touches model assignments, create a git checkpoint:
```bash
# In the sync script
git stash push -m "pre-model-sync-$(date +%s)"
git checkout -b auto/model-sync-$(date +%s)
```
If fitness gate rejects changes, auto-rollback:
```bash
git checkout HEAD -- kilo-meta.json .kilo/capability-index.yaml .kilo/agents/
```
## Implementation
### 1. Fitness Gate Module
```typescript
// agent-evolution/scripts/lib/fitness-gate.ts
export class ModelFitnessGate {
constructor(
private benchmarks: ModelBenchmarks,
private minThreshold = 75,
private maxRegression = 3
) {}
validateChange(agent: string, fromModel: string, toModel: string): GateResult {
const oldScore = this.getAgentModelScore(agent, fromModel);
const newScore = this.getAgentModelScore(agent, toModel);
if (newScore < this.minThreshold) {
return { acceptable: false, reason: `Score ${newScore} below threshold ${this.minThreshold}` };
}
if (newScore < oldScore - this.maxRegression) {
return { acceptable: false, reason: `Regression ${oldScore}${newScore} exceeds max ${this.maxRegression}` };
}
return { acceptable: true, delta: newScore - oldScore };
}
}
```
### 2. Sync Wrapper
```typescript
// agent-evolution/scripts/sync-with-guard.cjs (wraps any sync script)
const { validateAllChanges } = require('./lib/fitness-gate');
const changes = detectChanges(); // what the sync WOULD do
const report = validateAllChanges(changes);
if (report.rejections.length > 0) {
console.error('❌ FITNESS GATE BLOCKED:');
report.rejections.forEach(r => console.error(` ${r.agent}: ${r.reason}`));
process.exit(1);
}
console.log(`✅ All ${changes.length} changes passed fitness gate`);
applyChanges(changes);
```
### 3. Git Checkpoint
```bash
# Every sync script must run this first
#!/bin/bash
set -e
STASH_NAME="model-sync-$(date +%s)"
git stash push -m "$STASH_NAME" -- kilo-meta.json .kilo/capability-index.yaml .kilo/agents/
```
## Verification Checklist
After implementing the guard:
- [ ] `sync-benchmarks-from-yaml.cjs` validates every model change against heatmap scores
- [ ] Downgrades of >3 points are rejected with clear error
- [ ] Diff report is printed before any file is written
- [ ] Git checkpoint is created before sync
- [ ] `model-benchmarks.json` has `source: "heatmap"` locked field
- [ ] All sync scripts declare direction: `benchmarks → configs` only
- [ ] CI pipeline runs fitness gate as pre-commit hook
## Integration with Existing Workflow
The guard integrates at the existing `/evolution` command step 0:
```markdown
## Step 0: Model Research & Guard
1. Run heatmap analysis → produce raw scores
2. **Fitness Gate** validates all proposed changes
3. If any downgrade >3 points → HALT, report to human
4. If all pass → generate recommendations append-only
5. Sync to configs with direction lock: benchmarks → configs
```
---
**Bottom line:** Never again should a script silently replace a ★-optimal model with one scoring 20+ points lower.