CI / benchmark-publish (pull_request) Has been skipped
CI / lint (pull_request) Successful in 21s
CI / quality (pull_request) Successful in 24s
CI / build (pull_request) Successful in 24s
CI / security (pull_request) Successful in 50s
CI / typecheck (pull_request) Successful in 57s
CI / lint (push) Successful in 20s
CI / quality (push) Successful in 25s
CI / build (push) Successful in 20s
CI / security (push) Successful in 55s
CI / typecheck (push) Successful in 57s
CI / benchmark-regression (push) Has been skipped
CI / integration_tests (pull_request) Successful in 4m28s
CI / integration_tests (push) Successful in 3m46s
CI / benchmark-publish (push) Successful in 12m12s
CI / benchmark-regression (pull_request) Successful in 22m12s
CI / unit_tests (pull_request) Successful in 28m31s
CI / docker (pull_request) Successful in 41s
CI / unit_tests (push) Successful in 29m45s
CI / docker (push) Successful in 1m0s
CI / coverage (pull_request) Successful in 1h25m45s
CI / coverage (push) Successful in 1h29m24s
Add SafetyProfile as a first-class concept in the specification, composed
within AutomationProfile via a 'safety' field. This eliminates the
dual-authority problem where both AutomationProfile and a separate
SafetyProfile defined the same three safety booleans (require_sandbox,
require_checkpoints, allow_unsafe_tools) with no spec-defined resolution.
Changes:
- specification.md: Add Safety Profile glossary entry, split Automatable
Tasks into thresholds + Safety Profile sub-section, update built-in
profile matrix with safety.* prefix, update YAML examples
- ADR-041 (new): Document composition decision, field schema, relationship
to Guards, constraints, consequences, rejected alternatives (inheritance,
mixin, flat)
- ADR-017: Update profile fields table, built-in profiles, constraints,
risks, and cross-reference to ADR-041
- reference/automation_profiles.md: Rename Safety Fields to Safety Profile
sub-section, expand built-in matrix, update YAML examples
- schema/automation_profile.schema.yaml: Nest safety fields under safety
object with all SafetyProfile fields
- adr/index.md: Add ADR-041 to Tier 3 inventory
Resolves spec gap identified in issue #332.
CI / benchmark-publish (pull_request) Has been skipped
CI / build (pull_request) Successful in 25s
CI / integration_tests (pull_request) Successful in 4m33s
CI / benchmark-regression (pull_request) Successful in 22m32s
CI / unit_tests (pull_request) Successful in 30m28s
CI / docker (pull_request) Successful in 39s
CI / coverage (pull_request) Successful in 1h39m42s
CI / lint (push) Successful in 12s
CI / quality (push) Successful in 20s
CI / build (push) Successful in 24s
CI / security (push) Successful in 28s
CI / typecheck (push) Successful in 1m0s
CI / benchmark-regression (push) Has been skipped
CI / integration_tests (push) Successful in 4m35s
CI / benchmark-publish (push) Successful in 13m36s
CI / coverage (push) Has been cancelled
CI / unit_tests (push) Has been cancelled
CI / docker (push) Has been cancelled
Introduce a lightweight checkpoint/rollback system for sandbox state
during plan execute and apply flows. CheckpointManager snapshots
the sandbox working directory before each phase and can restore it
on failure, giving the execution engine a reliable undo mechanism.
Key changes:
- SandboxCheckpoint model, Checkpointable protocol, and
CheckpointManager in infrastructure/sandbox/checkpoint.py
- PlanExecutor gains optional checkpoint_manager with pre/post
execute hooks and automatic rollback on failure
- PlanApplyService gains optional checkpoint_manager with pre-apply
checkpoint and rollback helper
- 12 BDD scenarios (features/sandbox_checkpoints.feature)
- 5 Robot Framework smoke tests (robot/sandbox_checkpoint_smoke.robot)
- ASV benchmarks for creation, rollback, and listing operations
- Reference documentation in docs/reference/sandbox.md
ISSUES CLOSED: #183
CI / benchmark-publish (pull_request) Has been skipped
CI / security (pull_request) Successful in 50s
CI / typecheck (pull_request) Successful in 58s
CI / build (pull_request) Successful in 29s
CI / integration_tests (pull_request) Successful in 4m16s
CI / unit_tests (pull_request) Successful in 12m18s
CI / docker (pull_request) Successful in 1m30s
CI / benchmark-regression (pull_request) Successful in 25m15s
CI / coverage (pull_request) Successful in 1h21m51s
CI / build (push) Successful in 15s
CI / quality (push) Successful in 17s
CI / lint (push) Successful in 21s
CI / security (push) Successful in 28s
CI / typecheck (push) Successful in 31s
CI / benchmark-regression (push) Has been skipped
CI / integration_tests (push) Successful in 2m47s
CI / unit_tests (push) Successful in 11m0s
CI / docker (push) Successful in 40s
CI / benchmark-publish (push) Successful in 12m22s
CI / coverage (push) Successful in 44m42s
Add Alembic migration m4_002_skill_flattened_tools to extend the skills
table with five new columns: flattened_tools_json, includes_json,
capability_summary_json, yaml_text, and flattening_hash (SHA-256). A
defence-in-depth uniqueness constraint (uq_skills_name) is also added.
Update SkillModel with the new column definitions and extend
SkillRepository with update_flattened_tools(), get_flattened_tools(),
needs_refresh(), recompute_flattening_hash(), and
invalidate_cached_summaries() methods. The existing update() method
now nulls all cached fields on mutation (hash-based invalidation).
All new repository methods follow the session-factory pattern with
@database_retry and flush-but-don-t-commit semantics. Structured
logging via structlog records cache updates and invalidations.
Database schema docs updated with the new skills table columns and a
persistence-field-to-domain-model mapping table.
Tests:
- 6 Behave scenarios covering create, invalidation, hash staleness,
refresh recomputation, uniqueness constraint, and namespace filtering
- 2 Robot Framework smoke tests (round-trip and invalidation)
- 3 ASV benchmarks (persist, refresh check, namespace list)
ISSUES CLOSED: #166
CI / benchmark-publish (pull_request) Has been skipped
CI / lint (pull_request) Successful in 14s
CI / build (pull_request) Successful in 20s
CI / quality (pull_request) Successful in 22s
CI / typecheck (pull_request) Successful in 33s
CI / security (pull_request) Successful in 35s
CI / integration_tests (pull_request) Successful in 4m26s
CI / unit_tests (pull_request) Successful in 20m49s
CI / benchmark-regression (pull_request) Successful in 20m19s
CI / docker (pull_request) Successful in 1m2s
CI / coverage (pull_request) Successful in 48m2s
CI / lint (push) Successful in 12s
CI / quality (push) Successful in 16s
CI / build (push) Successful in 24s
CI / typecheck (push) Successful in 29s
CI / security (push) Successful in 30s
CI / benchmark-regression (push) Has been skipped
CI / integration_tests (push) Successful in 2m44s
CI / unit_tests (push) Successful in 11m56s
CI / benchmark-publish (push) Successful in 12m13s
CI / docker (push) Successful in 39s
CI / coverage (push) Successful in 37m29s
Create DecisionService application-layer service that wraps
DecisionRepository with structured logging and UnitOfWork transaction
management. Wire DecisionService and PlanLifecycleService into the DI
container as Factory providers.
Inject DecisionService into PlanLifecycleService so that phase
transitions automatically record decisions: start_strategize records a
strategy_choice decision and start_execute records an
implementation_choice decision. Decision recording is optional and
never blocks lifecycle transitions.
Add Behave feature (5 scenarios), Robot Framework smoke tests (2 test
cases), ASV benchmarks (3 benchmark classes), and DI reference
documentation.
ISSUES CLOSED: #173
Tighten ToolRuntime._enforce_capabilities() to block ANY tool with
writes=True when plan_read_only is set, removing the not-cap.read_only
loophole that allowed certain write tools through. Tool name is now
always included in the ToolAccessDeniedError message.
Add read_only flag to ChangeSetCapture with ReadOnlyViolationError
raised when write-capable tools are wrapped on a read-only plan.
Add CLI fail-fast guards on plan execute and plan apply commands that
abort before calling the service layer if plan.read_only is True.
SkillContext.enforce_write_guard() already included tool name
correctly and required no changes.
Includes 18 Behave scenarios (90 steps), Robot integration tests,
ASV benchmarks, and docs/reference/read_only_actions.md.
ISSUES CLOSED: #322
CI / benchmark-publish (pull_request) Has been skipped
CI / lint (pull_request) Successful in 15s
CI / quality (pull_request) Successful in 17s
CI / build (pull_request) Successful in 20s
CI / typecheck (pull_request) Successful in 41s
CI / security (pull_request) Successful in 57s
CI / integration_tests (pull_request) Successful in 2m53s
CI / unit_tests (pull_request) Successful in 19m17s
CI / docker (pull_request) Successful in 1m1s
CI / benchmark-regression (pull_request) Successful in 26m11s
CI / coverage (pull_request) Successful in 47m20s
P0: reject register() after close_all() with RuntimeError.
P1: catch CancelledError in close_all(), use WeakKeyDictionary for
cancellation_reasons to prevent memory leak, guard StateManager
update_state/reset/load_checkpoint/time_travel after close().
P2: contextlib.suppress in __del__ for partial construction, re-cancel
pending tasks in cleanup_tasks_async, handle late tasks added during
await window, guard AcpEventQueue.publish() after close with _is_closed
flag and is_closed property, fix ASV TimeRegisterBatch crash.
Tests: 5 new Behave scenarios (T1-T4 + is_closed), log handler and
event loop cleanup in after_scenario (T5-T6).
Docs: async_safety.md updated for register-after-close and state
mutation guards.
ISSUES CLOSED: #321
Add AsyncResourceTracker (core/async_cleanup.py) providing a central
registry for async resources with timeout-bounded close_all(), async
context manager support, and a __del__ finalizer that logs leaked
resources by name.
Enhance LangGraphBridge with cleanup_tasks_async() that awaits
in-flight tasks with a deadline instead of fire-and-forget cancel().
Add cancellation_reasons dict to trace why tasks were cancelled.
Add StateManager.close() to properly release checkpoint file handles
and complete the RxPY BehaviorSubject. Add AcpEventQueue.close() to
dispose all subscriptions.
Includes 14 Behave scenarios (67 steps), Robot integration tests,
ASV benchmarks, and docs/reference/async_safety.md.
ISSUES CLOSED: #321
Add decision persistence layer with DecisionRepository, DecisionModel,
and Alembic migration. Includes tree queries (BFS traversal via deque,
path-to-root), superseded lookup, ordered decision path retrieval,
concrete Decision type annotations (via TYPE_CHECKING), and comprehensive
test coverage (Behave BDD, Robot Framework, ASV benchmarks). Updated
database_schema.md, CHANGELOG.md, and CONTRIBUTORS.md.
ISSUES CLOSED: #171
CI / integration_tests (pull_request) Successful in 5m12s
CI / benchmark-publish (pull_request) Has been skipped
CI / build (pull_request) Successful in 24s
CI / unit_tests (pull_request) Successful in 33m37s
CI / benchmark-regression (pull_request) Successful in 26m3s
CI / docker (pull_request) Successful in 1m1s
CI / coverage (pull_request) Has been cancelled
Replace hard-coded '11 decision types' with dynamic len(DecisionType) in
the assertion and remove the literal from scenario names, step patterns,
docstrings, and docs so the tests stay correct when new DecisionType
values are added.
CI / benchmark-publish (pull_request) Has been skipped
CI / build (pull_request) Successful in 23s
CI / integration_tests (pull_request) Successful in 5m7s
CI / unit_tests (pull_request) Successful in 20m55s
CI / benchmark-regression (pull_request) Successful in 25m40s
CI / docker (pull_request) Successful in 14s
CI / coverage (pull_request) Successful in 1h48m41s
- Replace dead after_scenario() hook with context.add_cleanup() calls
so patchers are properly stopped (Behave only runs hooks from
environment.py)
- Fix invalid ULID constants: pad DECISION/CORRECTION to 26 chars,
replace invalid 'I' with 'J' in INVARIANT_ULID
- Add temp file cleanup for NamedTemporaryFile(delete=False) via
context.add_cleanup() in behave steps and try/finally in robot helper
- Remove decision-persistence doc sections from testing.md that belong
in PR #438, not this PR
CI / benchmark-publish (pull_request) Has been skipped
CI / lint (pull_request) Successful in 16s
CI / quality (pull_request) Successful in 30s
CI / build (pull_request) Successful in 24s
CI / security (pull_request) Successful in 40s
CI / typecheck (pull_request) Successful in 1m0s
CI / integration_tests (pull_request) Successful in 4m14s
CI / unit_tests (pull_request) Successful in 16m25s
CI / docker (pull_request) Successful in 55s
CI / benchmark-regression (pull_request) Successful in 22m55s
CI / coverage (pull_request) Successful in 38m4s
CI / lint (push) Successful in 13s
CI / build (push) Successful in 15s
CI / quality (push) Successful in 28s
CI / typecheck (push) Successful in 31s
CI / benchmark-regression (push) Has been skipped
CI / security (push) Successful in 31s
CI / integration_tests (push) Successful in 3m19s
CI / benchmark-publish (push) Successful in 14m23s
CI / unit_tests (push) Successful in 14m44s
CI / docker (push) Successful in 38s
CI / coverage (push) Successful in 32m22s
Implemented plan-level and project-level locking with configurable timeouts.
Added locks table via Alembic migration storing owner_id, resource_type,
resource_id, acquired_at, and expires_at. Locks enforced in
PlanLifecycleService transitions. Support for re-entrant acquisition,
lock renewal, graceful shutdown release, and startup cleanup of expired
locks. Added diagnostics check for stale lock reporting.
ISSUES CLOSED: #327
Implement MCPToolAdapter to connect to external MCP servers, enumerate
tools, and register them in ToolRegistry with source="mcp". Includes
connect/reconnect/disconnect lifecycle with timeout enforcement, input
validation on invoke, capability inference, Behave/Robot/ASV tests, and
docs/reference/mcp_adapter.md.
ISSUES CLOSED: #159
Extend actor YAML schema to support hierarchical graphs with explicit
node types (agent, tool, conditional, subgraph), per-node LSP bindings
(lsp_binding with server, languages, auto, capabilities), and tool-source
references (skills, mcp_servers, agent_skills).
Add schema validation for namespaced actor references, duplicate node IDs,
edge target existence, and graph reachability — all nodes must be reachable
from entry_node via explicit edges or conditional node routing targets.
Update loader to report YAML parse errors with precise line/column positions
and schema validation errors with dotted field paths and remediation hints
pointing to docs/reference/actor_config.md.
Add docs/reference/actor_config.md as the practical configuration reference
covering hierarchical graph examples, node type table, topology rules, and
common error cases with fix guidance.
Refresh examples/actors/graph_workflow.yaml to replace deprecated actor_path
with actor_ref. Add benchmarks/actor_yaml_bench.py for schema load overhead.
Tests: 95 Behave scenarios, 10 Robot smoke tests (including hierarchical
loader smoke test), security scan clean, coverage 99% (threshold 97%).
ISSUES CLOSED: #157