docs/quickstart-guide
3 Commits
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|---|---|---|---|---|
 freemo
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583e6b7ea2
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feat(correcting-plans): implement Predictive Error Prevention (Layer 4) with Error Pattern Database
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Implement spec-mandated Layer 4 Predictive Error Prevention system: - ErrorPattern domain model with pattern text, historical failures, preventive checks, frequency tracking, and keyword-based matching. - ErrorPatternRepository with in-memory CRUD + context-matching query. - ErrorPatternService with record_failure(), match_patterns(), and get_statistics() methods. - Wire into plan execution via plan_lifecycle_service pre-execution hook. - Add error pattern statistics to CLI diagnostics output. Behave BDD: 11 scenarios covering recording, matching, formatting, stats. Robot Framework: 3 integration smoke tests. ASV benchmarks: pattern matching performance. ISSUES CLOSED: #571 |
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|
freemo
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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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 CoreRasurae
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a2be3e67b0
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feat(validation): add semantic validation service
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Added SemanticValidationService with built-in Python checks for syntax errors, missing imports, broken references, dependency cycles, API misuse, and missing symbols. Implemented SemanticRuleRegistry for extensible validator registration. Integrated with ValidationPipeline as informational by default. Added per-project/per-plan config keys, severity mapping (info/warn/error), output schema normalization, and file-hash-based caching. Includes Behave BDD scenarios, Robot integration tests, ASV benchmarks, and reference documentation. ISSUES CLOSED: #207 |