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6519f140a9 |
feat(context): add hot/warm/cold tiers and actor views
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Implement hot/warm/cold context tiers with ContextTier, ActorRole, TieredFragment, TierBudget, ActorContextView, TierMetrics, and ScopedBackendView models. ContextTierService provides store/get, promotion/demotion with cold-tier summarisation hook, LRU eviction, per-actor filtered views (strategist/executor/reviewer), and project-scoped isolation via ScopedBackendView. Settings: context_max_tokens_hot, context_max_decisions_warm, context_max_decisions_cold. DI-wired as singleton context_tier_service. Includes Behave BDD scenarios (30), Robot Framework integration tests (7), ASV benchmarks (5 suites), and docs/reference/context_tiers.md. Closes #208 |
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69f5b2e3e6 |
perf(tests): add ASV benchmarks for test suite runtime regression tracking
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Add ASV benchmark modules to track test suite performance over time: - bench_unit_tests.py: Feature discovery, step module loading, parallel chunk computation, behave config parsing, and test suite metrics - bench_coverage_report.py: Coverage collection pipeline timing and report generation overhead - bench_subprocess_overhead.py: Subprocess count tracking and per-feature startup cost measurement These benchmarks establish baselines for the post-optimization state and enable CI-driven regression detection. ISSUES CLOSED: #486 |