* feat: dynamic model routing for token consumption optimization (#575)
Add complexity-based model routing that classifies units into light/standard/heavy
tiers and routes to cheaper models when appropriate. Reduces token consumption
by 20-50% for users on capped plans.
- Complexity classifier with heuristic-based tier assignment (no LLM call)
- Model router with downgrade-only semantics (user's config is ceiling)
- Budget-pressure-aware routing (more aggressive as budget fills)
- Cross-provider cost comparison via bundled cost table
- Hook classification support
- Escalation on failure (light → standard → heavy)
- Full preference validation and merge support
- Metrics tracking with tier and downgrade fields
- 40 new tests (classifier, router, cost table)
Closes#575
* feat: phases 2-4 — dashboard, adaptive learning, task introspection
Phase 2 — Observability & Dashboard:
- Tier badge [L]/[S]/[H] displayed in progress widget next to phase label
- Dynamic routing savings summary shown in footer when units have been downgraded
- Tier and modelDowngraded fields passed through snapshotUnitMetrics
Phase 3 — Adaptive Learning:
- New routing-history.ts: tracks success/failure per tier per unit-type pattern
- Rolling window of 50 entries per pattern to prevent stale data
- User feedback support (over/under/ok) with 2x weight vs automatic
- Failure rate >20% auto-bumps tier for that pattern
- Tag-specific patterns (e.g. execute-task:docs) for granular learning
- History persists to .gsd/routing-history.json
- Classifier consults adaptive history before finalizing tier
Phase 4 — Task Plan Introspection:
- Code block counting in task plans (5+ blocks → heavy)
- Complexity keyword detection: migration, architecture, security,
performance, concurrency, compatibility
- Multiple complexity keywords (2+) → heavy, single → standard
- New codeBlockCount and complexityKeywords fields in TaskMetadata
Tests: 16 new tests (routing history + introspection), 419 total passing
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