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2746 Commits

Author SHA1 Message Date
freemo fae438a7a7 refactor(acms): unify ContextFragment model hierarchies by extending CRP base types
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Core domain types (FragmentProvenance, ContextFragment, ContextBudget,
ContextPayload) now extend their CRP counterparts via Pydantic v2
inheritance, ensuring isinstance compatibility across the model
hierarchy.

Key changes:
- CRP base types made frozen=True (no consumer mutates them)
- CRP AssembledContext fields changed from list to tuple (frozen consistency)
- Core types extend CRP bases: FragmentProvenance(CRPFragmentProvenance),
  ContextFragment(CRPContextFragment), ContextBudget(CRPContextBudget),
  ContextPayload(CRPAssembledContext)
- Removed duplicate ContextFragment dataclass from skeleton_compressor
- Updated project_context.py to pass tuples to frozen AssembledContext
- Added Behave tests (10 scenarios), Robot integration tests (3 cases),
  and ASV benchmarks for the unified hierarchy
- Updated Known Limitations table in docs/reference/acms.md

ISSUES CLOSED: #569
2026-03-05 21:38:55 +00:00
brent.edwards 7b3743f9bf Merge branch 'master-latest' into feature/m3-test-resource-bootstrap-git
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# Conflicts:
#	CHANGELOG.md
2026-03-05 20:46:01 +00:00
brent.edwards 63764d68eb fix(test): address hamza.khyari review #1986 findings on git-checkout bootstrap tests
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- SPEC-1: Added genuine TDD failing Scenario 1 (@wip) that creates registry
  WITHOUT bootstrap and asserts git-checkout exists — reproduces bug #524.
  Existing scenarios retained as regression tests (no @wip since they pass).
  Added NOTE FOR FIX AUTHOR comment documenting fix-path expectations.
- BUG-1: Removed colliding @when('I run "agents resource add..."') step.
  Replaced with uniquely-prefixed bootstrap-git step pattern that invokes
  resource_add() directly with mocked DI, avoiding AmbiguousStep collision
  with wildcard @when('I run "{command}"') in cli_plan_context_commands_steps.
- BUG-2: Removed duplicate @then('the CLI exit code should be {code:d}').
  Replaced with prefixed bootstrap-git assertion steps.
- BUG-3: Removed duplicate @then('the CLI output should not contain...").
  Replaced with prefixed bootstrap-git assertion steps.
- TEST-1: Replaced bare MagicMock() with direct service patching via
  _PATCH_SERVICE, consistent with PR #567 pattern.
- TEST-2: Updated Robot docs from 'expected to FAIL' to 'regression tests'
  since both Robot tests call bootstrap explicitly and pass.
- CODE-1: Simplified hasattr guards on enum fields — removed redundant
  hasattr checks, using .value directly since ResourceKind and
  SandboxStrategy are always enums.
- TEST-3: Added assertion on bootstrap_builtin_types() return value via
  new Then step 'the bootstrap-git registered types should include'.
- Updated CHANGELOG from 'Two scenarios' to 'Three scenarios'.

Refs: #553
2026-03-05 20:36:05 +00:00
freemo d990fc1b41 feat(uko): add analyzer plugin framework and initial domain analyzers
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Implemented the analyzer plugin framework with AnalyzerProtocol,
AnalyzerRegistry for registration/discovery by file extension,
PythonAnalyzer (AST-based extraction of modules, classes, functions,
imports, docstrings), and MarkdownAnalyzer (section, code block, and
link extraction). Both analyzers produce well-formed UKO triples with
proper URI schemes.

ISSUES CLOSED: #551
2026-03-05 19:20:39 +00:00
freemo 1d15eca866 feat(acms): implement depth/breadth projection system
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Add the Depth/Breadth Projection System and Skeleton Context
Propagation as specified in docs/specification.md §25265-25340
and §43057-43128:

- ProjectionSpec: frozen Pydantic model capturing a projection
  request (focus, breadth, depth, gradient, domain)
- ProjectedNode: frozen model for materialized graph nodes with
  resolved depth and distance
- DepthBreadthProjector: stateless BFS projector over UKO graph
  adjacency with depth gradient (linear reduction by distance)
- PlanContextInheritance: service computing child plan context
  from parent assembled context with skeleton injection
- ChildContextResult: frozen result model with request and skeleton
- InheritanceConfig: frozen config for skeleton_ratio (default 0.2)
- Built-in DetailLevelMap presets for code, docs, and database

Includes 27 Behave BDD scenarios, 9 Robot Framework integration
tests, and ASV benchmarks for all components.

ISSUES CLOSED: #544
2026-03-05 15:42:20 +00:00
freemo 81a12f6b36 Docs: Fixed navbar in documentation
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2026-03-05 10:39:24 -05:00
freemo fe7381c45b feat(acms): implement pipeline Phase 2 components
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Add production-grade Phase 2 (Fragment Fusion) components for the ACMS
context assembly pipeline, replacing the no-op defaults:

- ContentHashDeduplicator: Groups fragments by UKO node URI, hashes
  content to detect duplicates, retains highest relevance_score.
- MaxDepthResolver: Resolves depth conflicts by keeping the highest
  detail depth per UKO node, with relevance tiebreaking.
- WeightedCompositeScorer: Computes composite score from configurable
  weighted factors (relevance=0.4, hierarchy=0.3, quality=0.2,
  recency=0.1). Stores component breakdown in metadata.
- GreedyKnapsackPacker: Greedy knapsack selection with depth fallback
  (tries depths [9,4,2,0] for oversized fragments) and minimum
  fragment token threshold (10).

Also adds:
- ScoredFragment frozen Pydantic model (spec §42825) with
  composite_score, score_components, and fragment reference
- score_detailed() method on WeightedCompositeScorer returning
  ScoredFragment objects for callers needing full breakdowns
- All components implement v1 Protocol signatures from acms_service.py
  and can be DI-injected into ACMSPipeline constructor

Testing:
- 31 Behave BDD scenarios in acms_pipeline_phase2.feature covering
  deduplication, depth resolution, scoring, packing, depth fallback,
  budget constraints, pipeline integration, and ScoredFragment model
- 6 Robot Framework integration smoke tests
- ASV benchmark suites for all 4 components and ScoredFragment

Quality gates: lint, typecheck (0 errors), unit_tests (8555 scenarios),
coverage (97.0%), dead_code — all passing.

ISSUES CLOSED: #540
2026-03-05 10:27:36 -05:00
freemo 34f9a587cf feat(acms): implement pipeline orchestrator and Phase 1 components
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Add production-quality Phase 1 pipeline components for the ACMS
Context Assembly Pipeline:

- ConfidenceWeightedSelector: strategy selection with preference
  boosting and confidence-based ranking
- ProportionalBudgetAllocator: proportional token budget distribution
  with min_useful_budget enforcement and largest-remainder rounding
- ParallelStrategyExecutor: concurrent strategy execution via
  ThreadPoolExecutor with per-strategy timeouts and circuit breaking
- CircuitBreaker: per-strategy failure tracking with configurable
  threshold and explicit reset
- ContextAssemblyPipeline: extends ACMSPipeline with Phase 1
  production components and per-stage timing (StageTimings)

Includes 28 Behave BDD scenarios, 9 Robot Framework integration tests,
and ASV benchmarks for all components.

ISSUES CLOSED: #539
2026-03-05 15:13:19 +00:00
hurui200320 cb1403c24d test(e2e): validate M3 acceptance criteria for v3.2.0 milestone closure (#559)
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## Summary

Validates all 10 M3 (v3.2.0) acceptance criteria via the E2E verification suite. This is the final gate before closing milestone v3.2.0.

### Single Commit (Squashed per CONTRIBUTING.md)

Branch history was squashed from 2 commits into 1 (`e1665c6e`) to comply with the one-commit-per-issue rule. The single commit includes:

1. **Original work**: Suite-level Force Tags, per-test acceptance criteria tags, enhanced documentation with milestone cross-references, CHANGELOG and CONTRIBUTORS entries.
2. **Review feedback fixes** (addressing Luis's CRITICAL/HIGH findings): Replaced fixture-self-assertion patterns with real CLI-path validation for all 10 acceptance criteria, added persistence-backed decision tree checks, robust JSON output parsing, explicit Robot process timeouts, and clearer correction tags.
3. **Rebase onto current master** (`fff6bb38`): Clean rebase resolving CHANGELOG conflict, as requested by PM (freemo).
4. **Bug fix — `async_enabled` attribute**: `PlanLifecycleService.execute_plan()` accesses `self.settings.async_enabled` (`plan_lifecycle_service.py:283`). The test helper's `_make_settings()` used `create_autospec(Settings)` but didn't set this attribute, causing `plan execute` CLI tests to fail with `AttributeError`. Fixed by adding `settings.async_enabled = False`.
5. **Timeout fixes for parallel execution**: When `pabot` runs 16 parallel Robot processes, cold-start import times + Alembic migrations cause 30s timeouts to be insufficient. Increased timeouts from 30s to 120s in 3 robot files: `actor_context_management.robot`, `decision_di_wiring_smoke.robot`, `changeset_persistence.robot`.

### Files Changed (7)

| File | Change |
|------|--------|
| `robot/helper_m3_e2e_verification.py` | Rewritten for real CLI-path validation; `_make_settings()` fixed with `async_enabled = False` |
| `robot/m3_e2e_verification.robot` | Force Tags, per-test tags, timeouts, enhanced docs |
| `robot/actor_context_management.robot` | Timeout 30s → 120s (line 92) |
| `robot/decision_di_wiring_smoke.robot` | Timeout 30s → 120s (lines 14, 21) |
| `robot/changeset_persistence.robot` | `${TIMEOUT}` 30s → 120s (line 12) |
| `CHANGELOG.md` | Entry for #494 |
| `CONTRIBUTORS.md` | Added Rui Hu |

### Acceptance Criteria Verified (10/10)

**Success Criteria:**
- `plan use` + `plan execute` generates decisions during Strategize
- `plan tree` displays decision tree correctly (via CLI invocation)
- `plan explain` shows full decision context (via CLI invocation)
- `invariant add --project` / `invariant list --project` work with project scope
- `plan correct --dry-run` performs impact analysis (via CLI invocation)
- `plan correct --mode=revert` executes live correction (via CLI invocation)

**Technical Criteria:**
- Decisions recorded with full context snapshot
- Decision tree persists to database and renders correctly
- Correction in revert mode re-executes from decision point
- Invariants enforced during strategize

### Quality Gates (Full Nox Suite)

| Session | Result | Details |
|---------|--------|---------|
| `lint` | PASS | ruff clean |
| `format` | PASS | ruff format clean |
| `typecheck` | PASS | pyright 0 errors, 0 warnings |
| `security_scan` | PASS | bandit clean |
| `dead_code` | PASS | vulture clean |
| `unit_tests` | PASS | 8500 BDD scenarios, 0 failures |
| `integration_tests` | PASS | 1194/1194 tests, 0 failures |
| `docs` | PASS | mkdocs build clean |
| `build` | PASS | wheel built |
| `benchmark` | PASS | performance benchmarks pass |
| `coverage_report` | PASS | 96.96% → rounds to 97% (meets `--fail-under=97`) |

Closes #494

Reviewed-on: #559
Reviewed-by: Luis Mendes <luis.mendes@cleverthis.com>
Co-authored-by: Rui Hu <rui.hu@cleverthis.com>
Co-committed-by: Rui Hu <rui.hu@cleverthis.com>
2026-03-05 15:09:19 +00:00
freemo 10abf8985e feat(acms): add ContextFragment and ScoredFragment data models
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Created ScoredFragment frozen model wrapping ContextFragment with
composite_score, score_breakdown, and rank fields. Added pipeline-
specific fragment models in domain/contexts/ with proper equality
based on uko_uri + detail_depth for deduplication support.

ISSUES CLOSED: #538
2026-03-05 14:11:23 +00:00
freemo 487e16a9f0 feat(acms): implement context strategies batch 1
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Implement the first three built-in context strategies for the ACMS v1
context assembly pipeline:

1. SimpleKeywordStrategy (quality 0.3) - Keyword matching on fragment
   content with word-density fallback. Universal fallback strategy.
2. SemanticEmbeddingStrategy (quality 0.6) - Jaccard word-overlap
   similarity scoring between query and fragment content.
3. BreadthDepthNavigatorStrategy (quality 0.85) - UKO node hierarchy
   navigation prioritising fragments near focus nodes with higher
   detail depths. Primary strategy for code projects.

All strategies implement the v1 ContextStrategy Protocol from
acms_service.py and can be registered with ACMSPipeline via
register_strategy().

Includes:
- 28 Behave BDD scenarios covering ranking, budget, capabilities,
  can_handle confidence, explain, empty input, and pipeline
  registration
- 9 Robot Framework integration tests
- ASV benchmarks at 10/100/1000 fragment scales for all 3 strategies
- Vulture whitelist entries for public API symbols
- 100% coverage on context_strategies.py

ISSUES CLOSED: #541
2026-03-05 12:58:57 +00:00
aditya fff6bb3833 Merge pull request 'feat(actor): add plan_subplan tool and decision emission' (#463) from feature/m5-subplan-actor into master
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Reviewed-on: #463
Reviewed-by: Hamza Khyari <hamza.khyari@cleverthis.com>
2026-03-05 07:12:21 +00:00
aditya 7ab5d8661a Merge branch 'master' into feature/m5-subplan-actor
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2026-03-05 06:35:45 +00:00
freemo f40e76ad8e Docs: Daily update to timeline
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2026-03-04 22:47:38 -05:00
hamza.khyari 8764fbed7b Merge pull request 'feat(acms): add ACMS v1 context pipeline' (#465) from feature/m5-acms-context into master
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Reviewed-on: #465
2026-03-05 01:33:54 +00:00
khyari hamza febea8950f feat(acms): add ACMS v1 context pipeline
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Implement the 10-component pluggable ACMS context assembly pipeline
with three built-in strategies (relevance, recency, tiered), DI-based
component injection, ULID-validated plan_id, largest-remainder budget
allocation, and frozen Pydantic v2 domain models.

Closes #188
2026-03-05 01:28:50 +00:00
brent.edwards 6b59c2f58c Merge branch 'master' into feature/m3-test-resource-bootstrap-git
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2026-03-04 23:52:38 +00:00
CoreRasurae 837ff4217b feat(async): add async command execution and workers
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- Add AsyncJob domain model with status state machine and Pydantic validation
- Add AsyncWorker service with configurable concurrency and job store
- Add CancellationToken, WorkerHealthReport, InMemoryJobStore
- Add AsyncJobModel SQLAlchemy model and Alembic migration (m6_003)
- Add 5 async config keys to Settings (worker_id, concurrency, poll_interval, max_retries, timeout)
- Add _check_async_worker_health diagnostic check in system.py
- Add comprehensive Behave BDD tests (~60 scenarios) with full step definitions
- Add Robot Framework integration tests (6 smoke tests)
- Add ASV benchmark suite for async execution
- Add architecture documentation
- Update vulture_whitelist with new public API symbols
- All quality gates pass: lint, typecheck, unit_tests, integration_tests, coverage_report (97%)

1. Wire async job creation into PlanLifecycleService:
   - Add optional job_store parameter to __init__
   - Add _maybe_enqueue_async_job() helper that checks settings.async_enabled
     and job store presence before creating and enqueuing an AsyncJob
   - Call helper from execute_plan() (phase="execute") and apply_plan()
     (phase="apply") after phase transitions
   - When async is disabled or no job store is configured, behaviour is
     unchanged (silent no-op)

2. Redact secrets in failed job error messages:
   - Apply shared.redaction.redact_value() to the error string before
     persisting to AsyncJob.error_message, preventing accidental secret
     leakage (e.g. API keys in exception text) into the audit trail

Documentation:
- S1: Added specification reconciliation note (ADR-style) to
  async_architecture.md addressing tension between "No Plan Queuing"
  clause and the async subsystem authorised by issue #312

ISSUES CLOSED: #312
2026-03-04 23:47:20 +00:00
brent.edwards 7b86008cfc Merge branch 'master' into feature/m3-test-resource-bootstrap-git
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2026-03-04 22:48:56 +00:00
khyari hamza ad53a659de feat(uko): add UKO ontology scaffolding
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Add UKO Layer 0-3 ontology skeleton (RDF/TTL) with base URI, version IRI,
and prefix conventions. Python loaders handle URI parsing, inheritance
resolution, versioning metadata, and validation of undefined prefixes and
missing rdf:type. Includes Behave BDD scenarios, Robot Framework integration
tests, ASV benchmarks, and reference documentation.

- Resolve rdfs:domain and rdfs:range values to full URIs in parser
- Fix type: ignore in Robot helper with proper Callable typing
- Export UKO models from core/__init__.py
- Add parent-URI existence validation in validate()
- Rename scenario to clarify parser-skips vs validation-rejects
- Add scenario testing validation with injected typeless node
- Add Scenario Outline for multi-layer node count assertions

- TTL: Layer 0 classes (InformationUnit, Container, Atom, Annotation,
  Boundary) with contains/references/dependsOn properties. Layer 1
  uko-code: classes (Module, Callable, TypeDefinition, TestCase, Import)
  with hasReturnType/hasParameters/testsCallable. Layer 2 uko-oo: classes
  (Class, Interface, Method, Attribute) with inheritsFrom/implements and
  rdfs:subPropertyOf. New URI scheme cleveragents.ai/ontology/uko#.
- TTL: uko-oo:Class has dual rdfs:subClassOf (TypeDefinition + Container),
  uko-oo:Interface has dual rdfs:subClassOf (TypeDefinition + Boundary).
- Model: UKONode.parent_uri replaced with parent_uris: tuple[str, ...]
  to support multi-parent rdfs:subClassOf.
- Loader: prefix regex supports hyphenated names (uko-code, uko-oo).
  Semantic domain prefix maps (_LAYER_PREFIXES, _LAYER_IRI_PREFIXES).
  Comma-separated rdfs:subClassOf parsing. rdfs:domain/range/subPropertyOf
  URI resolution. BFS DAG traversal with DFS cycle detection for
  resolve_inheritance. HTTP URI skip in validation (D-1 fix). Duplicate
  error guard (B-1 fix). Consistent quoting (M-1 fix).
- Services __init__: export UKOLoader and UKOValidationError.
- Tests: 24 Behave scenarios (multi-parent, domain/range resolution,
  non-existent parent validation). 4 Robot smoke tests. Consolidated
  context attributes (T-3 fix).
- Docs: uko.md written for spec-aligned structure.

- Namespace prefix match in parent-URI validation includes a
delimiter guard (# or /) preventing false positives on URIs that share
the UKO prefix string (e.g. ukobogus:, ukoo:).

ISSUES CLOSED: #189
2026-03-04 22:40:34 +00:00
brent.edwards 5a9995716b fix(test): address self-review findings on git-checkout bootstrap tests
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- Add @tdd @bug524 tags to both feature scenarios for selective execution
- Move module-level CliRunner singleton to per-step instantiation for
  consistency with PR #566 pattern

Refs: #553
2026-03-04 22:40:09 +00:00
freemo 4ca4874c4d feat(correction): implement cross-plan correction cascading with child plan state handling
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Add CrossPlanCorrectionService that implements the four child-plan-state-
dependent behaviours from the specification when a correction's affected
subtree includes child plans:

- Not yet started → cancel the child plan
- In progress → cancel + rollback sandbox to pre-child-plan state
- Completed but not applied → cancel + rollback sandbox
- Already applied → reject the correction (CorrectionRejection)

Key additions:
- ChildPlanState enum classifying child plans into 4 states
- CorrectionRejection result type with reason and affected applied plan IDs
- CascadeAction/CascadeResult models for cascade operation tracking
- CorrectionStatus.REJECTED for rejected corrections
- Atomic cascade-or-rollback: all child plan actions succeed or the
  entire cascade is rolled back
- Protocol-based dependency injection (ChildPlanLookup, ChildPlanCanceller,
  SandboxRollbacker) for testability
- execute_correction_with_cascade() integrates with CorrectionService flow

Testing:
- 24 Behave BDD scenarios in cross_plan_correction.feature
- 8 Robot Framework end-to-end smoke tests
- ASV benchmarks for cascade performance with varying child plan counts

ISSUES CLOSED: #547
2026-03-04 21:20:47 +00:00
freemo abd4c6de49 feat(actor): implement built-in invariant reconciliation actor
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Add InvariantReconciliationActor that runs at the start of the Strategize
phase to reconcile invariants from four scopes (global, project, action,
plan). The actor detects conflicts, resolves them using specificity-based
precedence (plan > action > project > global), honours non_overridable
global invariants, records invariant_enforced decisions, and produces a
reconciled InvariantSet.

Changes:
- New: src/cleveragents/actor/reconciliation.py
  - InvariantReconciliationActor class with collect_invariants() and run()
  - reconcile_invariants() pure function
  - ScopeInvariants, ConflictRecord, ReconciliationResult dataclasses
- Modified: src/cleveragents/domain/models/core/invariant.py
  - Added non_overridable: bool field to Invariant model
- New: features/invariant_reconciliation_actor.feature (26 BDD scenarios)
- New: features/steps/invariant_reconciliation_actor_steps.py
- New: robot/invariant_reconciliation_actor.robot
- New: robot/helper_invariant_reconciliation.py
- New: benchmarks/invariant_reconciliation_bench.py

Closes #549
2026-03-04 20:26:42 +00:00
brent.edwards 26ee1d632d docs(changelog): add entry for git-checkout bootstrap test scaffolding
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ISSUES CLOSED: #553
2026-03-04 20:19:27 +00:00
brent.edwards 34a65ee9d0 test(resource): add failing tests for built-in git-checkout type bootstrap
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Add TDD-style failing tests that verify the built-in git-checkout resource
type is available after initialization. Tests assert the correct expected
behavior: after agents init, the git-checkout type should exist in the
registry and 'agents resource add git-checkout' should succeed.

Tests are expected to fail until bug #524 is fixed, because
bootstrap_builtin_types() is never called during initialization. The fix
branch should be based on this branch so the fix commit inherits these tests.

Files added:
- features/resource_type_bootstrap_git.feature (2 Behave scenarios)
- features/steps/resource_type_bootstrap_git_steps.py (step definitions)
- robot/resource_type_bootstrap_git.robot (Robot Framework smoke test)

ISSUES CLOSED: #553
2026-03-04 20:13:36 +00:00
freemo 93e3893d69 feat(validation): implement tool wrapping runtime (wraps + transform delegation)
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Implement the runtime execution engine for validation tool wrapping,
as specified in docs/specification.md § Tool Wrapping.

WrappedToolExecutor resolves wraps references and delegates execution
to wrapped tools, supporting composable wrapping chains with cycle
detection and depth limiting (max 10 levels).

ArgumentMapper translates arguments between wrapper and wrapped tool
schemas using the argument_mapping configuration. Supports both
forwarded parameter names and literal fixed values.

TransformExecutor runs user-supplied transform functions in a
sandboxed Python environment with restricted builtins (no imports,
no filesystem, no network access). Validates that transforms return
proper validation-format dicts with a passed boolean.

Wired into the tool package public API via tool/__init__.py exports.
All new error types (WrappedToolNotFoundError, WrappingCycleError,
WrappingDepthExceededError, TransformExecutionError) provide clear
diagnostic messages.

Tests: 20 Behave scenarios covering argument mapping, transform
execution, simple/chained delegation, error handling, and sandbox
restrictions. 8 Robot Framework integration smoke tests. ASV
benchmarks for delegation overhead measurement.

ISSUES CLOSED: #543
2026-03-04 18:21:19 +00:00
freemo db5e5c974f feat(autonomy): implement semantic escalation with confidence scoring and threshold comparison
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2026-03-04 12:18:51 -05:00
freemo 296431cfd6 Docs: Fixed another formatting issue with the documentation
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2026-03-04 12:17:24 -05:00
freemo 5935940276 feat(sandbox): implement sandbox boundary algebra and domain computation
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Implement sandbox_boundary(r) function that walks up containment edges
in the resource DAG to the nearest sandboxable ancestor, enabling
resources sharing a boundary to share one sandbox instance.

Changes:
- Add boundary.py: is_sandbox_boundary(), sandbox_boundary(),
  compute_sandbox_domains(), BoundaryCache (thread-safe, per-execution)
- Update SandboxManager: resolve_sandbox_key() and
  get_or_create_sandbox_for_resource() key by (plan_id, boundary_id)
  instead of (plan_id, resource_id); boundary cache lifecycle methods
- Define "sandboxable" via ResourceCapabilities.sandboxable + non-none
  sandbox_strategy as per specification section 24659-24674
- Export new symbols from sandbox __init__.py
- Add vulture whitelist entries for new public API

Tests:
- 26 Behave BDD scenarios (features/sandbox_boundary_algebra.feature)
- 5 Robot Framework integration tests (robot/sandbox_boundary_algebra.robot)
- ASV benchmarks for boundary walk, domain grouping, and cache performance

ISSUES CLOSED: #548
2026-03-04 15:59:15 +00:00
freemo 8e6642e8c9 feat(decision): implement influence DAG traversal in correction affected subtree computation
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Extended _compute_affected_subtree() to BFS over both the structural tree
(parent-child plan relationships) and decision_dependencies edges (influence
DAG). The algorithm performs a single O(V+E) BFS pass that unions neighbors
from both edge sources, using a visited set for cycle detection to guard
against data corruption.

Decision creation now supports dependency_decision_ids parameter in
record_decision() which populates the in-memory influence DAG store.
get_influence_edges() returns the adjacency list format consumed by
CorrectionService.

All public CorrectionService methods (analyze_impact, execute_revert,
execute_correction, generate_dry_run_report) accept an optional
influence_edges parameter while remaining backward-compatible (defaults
to None, preserving structural-only traversal when not provided).

Key design decisions:
- Single BFS pass over union of structural + influence edges rather than
  separate traversals, ensuring O(V+E) complexity and consistent visit order
- Cycle detection via visited set with warning log (not an error) since
  cycles indicate data corruption, not a programming error
- Influence edge logging: traversal emits count of influence edges processed
  for observability
- Backward-compatible API: existing callers that only pass decision_tree
  continue to work identically

ISSUES CLOSED: #542
2026-03-04 15:36:34 +00:00
freemo 10d5d9839d Updated small inconsistency in section titles
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2026-03-03 22:27:21 -05:00
freemo 5aa9e7789b Doc: fixed documentation warnings
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2026-03-03 22:05:30 -05:00
freemo 1249f3c8cc Docs: small clarification about labels
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2026-03-03 20:59:08 -05:00
freemo 8a02512572 Docs: daily update to timeline
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Luis Mendes ff42d59d6d feat(cli): wire project context CLI stubs to ACMS pipeline
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Wire all four project context CLI commands (inspect, simulate, set, show)
to live ACMS pipeline services via ContextTierService and CRP models.

- context inspect: queries ContextTierService for tier metrics and
  per-project fragments with filtering by strategy/focus/breadth/depth
- context simulate: dry-run context assembly using CRP models with
  configurable token budget and assembly strategies
- context set: 12 new ACMS pipeline options (hot_max_tokens,
  warm_max_decisions, cold_max_decisions, summary_max_tokens,
  temporal_scope, auto_refresh, focus_area, breadth, depth,
  assembly_strategy, retrieval_strategy, summary_strategy)
- context show: displays ACMS pipeline configuration alongside policy

- `context inspect` displayed global tier fragment counts (hot/warm/cold)
across all projects instead of counts for the target project only.

Add `ContextTierService.get_scoped_metrics(project_names)` which uses
`ScopedBackendView` to filter fragment counts to the specified projects
while keeping hit/miss counters as global service-level cache metrics.
Update `context_inspect()` to call `get_scoped_metrics([project])`
instead of `get_metrics()`.

- `context simulate --focus` accepted focus URIs and passed them to the
`ContextRequest` model but never used them to filter the fragment list,
making the `--focus` flag a no-op.

Add focus URI filtering in `_simulate_context_assembly()` after
`get_scoped_view()` — filters `project_fragments` by matching each
fragment's `resource_id` against the supplied focus URIs.

Also fixes redaction false positives for hot_max_tokens and
summary_max_tokens keys, and Rich Console line-wrapping in test
output that caused JSON parse failures.

Includes 28 new Behave BDD scenarios for wiring coverage, updated
Robot Framework integration tests, and reference documentation.

ISSUES CLOSED: #499
2026-03-03 23:36:15 +00:00
freemo a60cda1f02 Docs: Fixed CONTRIBUTING.md error in stating dependency link direction
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2026-03-03 17:55:52 -05:00
Luis Mendes b4b96d213c feat(security): add safety profile enforcement
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Implement safety profile resolution and enforcement in the tool
execution pipeline, replacing the NotImplementedError stub with
working precedence logic and runtime safety checks.

Core changes:
- resolve_safety_profile() now resolves plan > action > project >
  global precedence, returning the highest-priority non-None profile
  (or DEFAULT_SAFETY_PROFILE with GLOBAL provenance when all None)
- ToolExecutionContext gains an optional safety_profile field
- ToolRuntime._enforce_capabilities() extended with three new checks:
  * Unsafe tool gating: blocks tools with unsafe=True when profile
    has allow_unsafe_tools=False (ToolSafetyViolationError)
  * Skill category allow-list: blocks tools whose skill category
    is not in allowed_skill_categories (ToolSafetyViolationError)
  * Checkpoint requirement: OR-combines ctx.require_checkpoints
    with safety_profile.require_checkpoints
- New ToolSafetyViolationError in tool error hierarchy

Test coverage:
- 30 updated BDD scenarios in safety_profile.feature (resolve
  precedence replaces NotImplementedError stub test)
- 24 new BDD scenarios in safety_profile_enforcement.feature
- 9 Robot Framework integration smoke tests
- 4 ASV benchmark suites (construction, serialization, resolution,
  provenance enum)

All nox sessions pass (typecheck 0 errors, unit_tests 7735 scenarios
0 failures, coverage 97%, integration_tests 9/9 passed, benchmarks
complete).

ISSUES CLOSED: #345
2026-03-03 22:21:14 +00:00
freemo 3f14cbbf7e feat(observability): add LLMTrace model and operational metrics
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Add LLMTrace Pydantic v2 domain model with all required fields (trace_id,
plan_id, decision_id, actor, provider, model, prompt_tokens, completion_tokens,
cost_usd, latency_ms, tool_calls, context_hash, streaming, retry_count, error).

Define 14 OperationalMetricKey values (PLAN_DURATION_MS, PLAN_TOTAL_COST_USD,
PLAN_DECISION_COUNT, ACTOR_INVOCATION_COUNT, ACTOR_LATENCY_MS,
TOOL_INVOCATION_COUNT, TOOL_ERROR_RATE, CONTEXT_BUILD_TIME_MS,
CONTEXT_TOKEN_COUNT, LLM_CALL_COUNT, LLM_TOTAL_TOKENS, LLM_TOTAL_COST_USD,
LLM_AVG_LATENCY_MS, SUBPLAN_COUNT) with MetricEntry model and MetricCollector.

Add llm_traces database table (LLMTraceModel) with LLMTraceRepository for
persistence. TraceService provides recording, querying, metric computation,
plan lifecycle hooks, and optional LangSmith forwarding when
LANGCHAIN_TRACING_V2=true.

Wired into DI container as trace_service. Includes 28 Behave BDD scenarios,
6 Robot Framework smoke tests, 3 ASV benchmark suites, and reference
documentation.

Fix pre-existing cli_core server_mode test flake by mocking
resolve_server_mode in test steps to avoid stale config file interference.

Closes #500
2026-03-03 17:04:17 -05:00
freemo 4232907ab9 feat(plan): add large-project decomposition and dependency closure
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Add hierarchical decomposition with 4+ levels and bounded context per
subplan. Implement decomposition heuristics (max_files_per_subplan,
max_tokens_per_subplan, language/dir clustering). Add dependency closure
computation for large graphs and DAG execution ordering. Add bounded
dependency closure with cutoff thresholds and memoization for 10K+
files. Record decomposition decisions in DecisionService
(strategy_choice + subplan_spawn entries).

New modules:
- decomposition_models.py: DecompositionConfig, DecompositionNode,
  DecompositionResult, DependencyEdge, DependencyGraph
- decomposition_clustering.py: ClusteringStrategy with directory,
  language, and size clustering plus deterministic sort
- decomposition_graph.py: DependencyClosureComputer with bounded
  closure, topological sort, cycle detection, and memoization
- decomposition_service.py: DecompositionService orchestrating
  hierarchy building and decision recording

Settings: planner_max_depth, planner_max_files_per_subplan,
planner_max_tokens_per_subplan, planner_min_files_per_subplan

Closes #205
2026-03-03 21:44:20 +00:00
freemo 738c3b5eda feat(plan): add multi-project subplan support
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Add domain models, application service, CLI integration, and full test
coverage for multi-project subplan orchestration.

New components:
- MultiProjectMetadata, ProjectScope, ProjectDependency domain models
- MultiProjectService for creating/managing multi-project plans
- CLI display of multi-project metadata in plan commands
- Behave BDD tests (20 scenarios), Robot Framework integration tests,
  ASV benchmarks, and reference documentation

Also fixes pre-existing test flakiness in cli_core, core_cli_commands,
cli_plan_context_commands, and helper_server_stubs caused by environment
leakage and path-with-spaces issues.

ISSUES CLOSED: #199
2026-03-03 14:55:58 -05:00
freemo ad5f737721 feat(execution): add execution environment routing
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Add ExecutionEnvironment enum (host/container) to domain models, implement
execution environment resolution with priority chain (tool > plan > project
> default), wire the tool runner to check execution_environment before
execution, and add CLI flags to plan use/execute and project context set.

When container is selected but no container resource is available, a clear
ContainerUnavailableError is raised with an actionable message.

Closes #512
2026-03-03 14:48:55 -05:00
freemo 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
2026-03-03 17:01:57 +00:00
aditya 7348ca1911 fix(events): update tests for DecisionService.record_decision API change
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- Update event_bus_steps.py to call record_decision() with individual
  parameters (plan_id, decision_type, question, chosen_option, rationale)
  instead of passing a Decision object, matching the master branch API
- Remove ctx.test_decision construction from DecisionService setup steps
  as it is no longer needed with the new signature
- Update robot/helper_event_bus.py decision_service_emits_event() to use
  the new record_decision() parameter signature
- All 9 Robot Framework event bus tests passing
- Behave scenarios at lines 125 and 131 now passing

Fixes event bus test failures after master merge.
2026-03-03 15:42:53 +00:00
aditya 5bd7a507b8 Merge branch 'master' into feature/m6plus-event-bus
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2026-03-03 15:20:19 +00:00
aditya 89bc776381 refactor(events): address PR-509 review comments
- Fix CHANGELOG EventType count from 40 to 38 and add missing domains
  (invariant, context) for accurate documentation
- Document correlation_id field as spec extension for request traceability
  in DomainEvent model
- Add thread safety documentation to ReactiveEventBus and LoggingEventBus
  noting single-threaded design and external sync requirements
- Document _persist_audit deferral in ReactiveEventBus.emit() explaining
  audit logging via handler subscription or LoggingEventBus following
  single-responsibility principle
- Replace bare MagicMock() with create_autospec(Settings, instance=True)
  at 5 locations for type-safe test mocking
- Replace nested bare MagicMock for UnitOfWork with create_autospec at 3
  locations to prevent silent breakage on API changes

All changes maintain backward compatibility. No linter errors.
2026-03-03 15:15:55 +00:00
aditya 5f0bc97d46 Merge branch 'master' into feature/m5-subplan-actor
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# Conflicts:
#	CHANGELOG.md
2026-03-03 14:55:28 +00:00
aditya c4cda5d6d8 fix(actor): address second round code review on plan_subplan tool
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- Fix rationale test to assert goal text appears in rationale rather than
  only checking non-empty (P1-1)
- Align side_effects value to specification: use ["spawn_subplan"] instead
  of ["emit_decision"] per docs/specification.md §18259 (P2-1)
- Remove dead TYPE_CHECKING import guard that contained only pass (P2-2)
- Replace frozenset with tuple for _VALID_CONTEXT_VIEWS to ensure
  deterministic JSON schema enum ordering and eliminate CI noise (P2-3)
- Simplify validation error message and schema unpacking now that
  context_view values are in a pre-sorted tuple
2026-03-03 14:40:37 +00:00
hamza.khyari 8249c73aed Merge pull request 'feat(service): add decision recording and snapshot store' (#433) from feature/m4-decision-service into master
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Reviewed-on: #433
Reviewed-by: Aditya Chhabra <aditya.chhabra@cleverthis.com>
2026-03-03 12:58:16 +00:00
khyari hamza 0e36755db9 fix(service): address review findings for decision service
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- Rehydrate sequence counter from DB on restart (BUG-1)
- Add uniqueness guard raising SequenceConflictError (BUG-2)
- Fix delete_decision consistency between persisted/in-memory (BUG-3)
- Validate new_decision_id exists in mark_superseded (BUG-4)
- Include orphaned subtrees in get_tree output (BUG-5)
- Remove dead _decision_seq/_next_seq from plan_lifecycle (BUG-7)
- Export SequenceConflictError from services __init__ (SPEC-2)
- Replace list[Any] with list[ArtifactRef] typing (SPEC-4)
- Add actor_reasoning max_length validation (SEC-1)
- Use SELECT COUNT(*) in count_decisions (PERF-1)
- Replace MagicMock with create_autospec(Settings) (TEST-3)
- Eliminate UnitOfWork.__new__() anti-pattern (TEST-4)
- Use exact assertion counts in DI tests (TEST-5)
- Add restart rehydration, BFS order, invalid type, and
  confidence boundary test scenarios (TEST-1/2/6/7)
- Fix decision_service_coverage.feature to match actual API

ISSUES CLOSED: #172
2026-03-03 12:53:28 +00:00
khyari hamza 67c63f4c58 fix(service): align test and doc refs with DecisionService API
Behave steps, benchmarks, vulture whitelist, and docs referenced
renamed methods (get_decisions_for_plan, get_decision_tree).  Updated
to use the actual API names (list_decisions, get_tree) and the kwargs
record_decision signature.

ISSUES CLOSED: #172
2026-03-03 12:18:27 +00:00