5bd7a507b8fcf5c55700e4e048dce1a32a5b227d
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5bd7a507b8
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Merge branch 'master' into feature/m6plus-event-bus
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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 |
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878bad4848 | feat(service): add decision recording and snapshot store | ||
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f66cb8d68e |
fix(cli): address review findings for plan explain and tree commands
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- Remove global _PLAN_ID; generate per-step plan IDs on context (#8) - Fix sham orphan test; build children_map from all decisions (#1) - Delete dead constants; use _PATCH_RESUME_SVC_MOD in resume steps (#2) - Remove dead _resolve_active_plan_id mock from _invoke_correct (#5) - Make --mode/--guidance required Typer options (#3) - Show alternatives by default; remove --show-alternatives flag (#4) - Strengthen weak assertions on depth-limit and show-superseded (#6) - Add negative assertions for error type conflation (#7) ISSUES CLOSED: #174 |
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3e25b41a3a |
feat(cli): add plan explain and decision tree outputs
Add `plan explain` and `plan tree` CLI commands that format decision trees in json/yaml/table/rich formats. Flags control views for superseded decisions, context snapshots, and reasoning details. - plan explain <decision_id>: renders a single decision with optional --show-context, --show-reasoning, --show-alternatives flags - plan tree <plan_id>: renders full decision tree with optional --show-superseded and --depth flags - BFS tree building uses collections.deque (no list.pop(0)) - Behave BDD scenarios (14 scenarios, 54 steps) - Robot Framework smoke tests with helper script - ASV benchmarks for explain formatting and tree operations - Updated docs/reference/plan_cli.md and CHANGELOG.md ISSUES CLOSED: #174 |
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4b9df961f0
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feat(acp): wire ACP local facade handlers to live services
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Wire all AcpLocalFacade operation handlers to their corresponding application services via constructor-injected service dependencies: - session.create/close delegate to SessionService - plan.create/execute/status/diff/apply delegate to PlanLifecycleService - registry.list_tools delegates to ToolRegistry - registry.list_resources delegates to ResourceRegistryService - event.subscribe delegates to AcpEventQueue - context.get returns stub pending ACMS ContextAssemblyPipeline Add domain-to-ACP error code mapping via map_domain_error() translating ResourceNotFoundError to NOT_FOUND, ValidationError to VALIDATION_ERROR, PlanError to PLAN_ERROR, BusinessRuleViolation to INVALID_STATE, and other domain exceptions to their corresponding ACP error codes. Handlers gracefully fall back to stub responses when services are absent. Includes 21 Behave scenarios (features/acp_facade_wiring.feature) and 9 Robot Framework integration tests (robot/acp_facade_wiring.robot). Updated docs/reference/acp.md with wired operation details, service key table, and error code taxonomy. ISSUES CLOSED: #501 |
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711e867112 |
feat(acms): add skeleton compressor
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Implemented SkeletonCompressorService for ACMS context inheritance, producing compressed context representations for propagation from parent plans to child plans. Key design decisions and implementation details: - SkeletonMetadata (frozen Pydantic model): records ratio, original_tokens, compressed_tokens, and source_decision_ids for full auditability of each compression pass. Persisted on Plan.skeleton_metadata. - SkeletonCompressorService: stateless service accepting a list of ContextFragment objects and a skeleton_ratio in [0.0, 1.0]. Fragments are sorted by relevance descending with a stable secondary sort on fragment_id to guarantee deterministic output. Token budget is original_tokens*(1-ratio); fragments are greedily selected until budget is exhausted. - Ratio semantics: 0.0 = no compression (pass-through), 1.0 = maximum compression (single top fragment only), None = default 0.3. - Integration: Plan model gains optional skeleton_metadata field exposed in as_cli_dict() under the 'skeleton' key. Service registered in DI container as skeleton_compressor_service (Singleton, stateless). - Tests: 22 BDD scenarios (features/skeleton_compressor.feature) covering ratio validation, stable ordering, metadata correctness, edge cases, and plan model integration. 6 Robot Framework smoke tests. ASV benchmark suites at 10/100/1000 fragment scales. - Documentation: docs/reference/skeleton_compressor.md with ratio table, algorithm description, metadata schema, and multi-decision plan example. ISSUES CLOSED: #194 |
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025d379946 |
feat(acms): add text, vector, and graph backend protocol implementations
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Implemented the Backend Abstraction Layer (BAL) for the Advanced Context Management System, following the specification in docs/specification.md Section ACMS > Backend Abstraction Layer and ADR-014. Key additions: - TextBackend protocol with search(query, scope, max_results) returning list[TextResult], and TextResult frozen dataclass (uko_uri, content, score, metadata fields) - VectorBackend protocol with similarity_search(embedding, scope, top_k) returning list[VectorResult], and VectorResult frozen dataclass - GraphBackend protocol with sparql_query(query, scope), get_triples(subject), and traverse(start, depth) methods returning GraphResult frozen dataclass (triples, metadata fields) - In-memory stub backends (InMemoryTextBackend, InMemoryVectorBackend, InMemoryGraphBackend) that validate arguments and return empty results, serving as development placeholders and test doubles - DI container registration as configurable Singletons with provider selection via override_providers() - Behave BDD feature (35 scenarios / 83 steps) covering protocol compliance, argument validation, result immutability, and DI resolution - Robot Framework smoke tests (6 tests) for integration verification - ASV benchmarks for stub query overhead and instantiation time - Reference documentation at docs/reference/acms_backends.md Design decisions: - Used @runtime_checkable Protocol for structural subtyping, consistent with existing ResourceHandler pattern - Used frozen dataclasses (not Pydantic) for result types to minimize overhead in the hot path of context assembly - scope parameter typed as frozenset[str] for immutability and hashability - Stubs registered as default Singletons; production backends swap via DI ISSUES CLOSED: #498 |
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279c6112ae
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feat(resource): add devcontainer resource type and auto-discovery handler
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Added three new built-in resource types: container-instance, devcontainer-instance, and devcontainer-file. The devcontainer-instance type inherits from container-instance per ADR-042 and is auto-discovered when git-checkout or fs-directory resources contain .devcontainer/ directories per ADR-043. Implementation includes: - DevcontainerHandler extending BaseResourceHandler with snapshot strategy - Auto-discovery module scanning .devcontainer/devcontainer.json and root .devcontainer.json with JSON validation - CLI support for devcontainer-instance and container-instance via agents resource add with --path and --image flags - Behave feature with 22 scenarios covering manual registration, auto-discovery, invalid JSON handling, and protocol conformance - Robot integration tests with 10 test cases for CLI round-trip and DAG hierarchy validation - ASV benchmarks measuring discovery throughput with varying subdirectory counts, handler resolver cache performance, and result construction - Reference documentation at docs/reference/devcontainer_resources.md ISSUES CLOSED: #511 |
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7e6f6fae37 |
test(validation): add semantic validation suites
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Add comprehensive semantic validation test suites covering five
new fixture categories: language porting mismatches, dependency
graph violations, API surface changes, cross-file symbols, and
circular import detection.
New BDD scenarios (38) exercise all six built-in rules against
fixture-driven inputs. Robot Framework integration tests (11)
validate end-to-end rule execution via the SemanticValidationService.
ASV benchmarks (6 suites) establish performance baselines for
batch validation throughput and per-rule latency.
Files added:
- features/fixtures/validation/{language_porting_mismatches,
dependency_graph_violations, api_surface_changes,
cross_file_symbols, circular_import_detection}.json
- features/semantic_validation_suite.feature
- features/steps/semantic_validation_suite_steps.py
- robot/semantic_validation_suite.robot
- robot/helper_semantic_validation_suite.py
- benchmarks/semantic_validation_suite_bench.py
- docs/reference/semantic_validation_coverage.md
All 11 nox sessions pass (lint, format, typecheck, security_scan,
dead_code, unit_tests, integration_tests, docs, build, benchmark,
coverage_report). Coverage remains at 97%.
ISSUES CLOSED: #316
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66b9a4279f
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feat(security): add safety profile model and enforcement stubs
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Add SafetyProfile domain model with configurable safety constraints (checkpoint, human approval, cost limits, retry limits, skill categories, sandbox requirement). Integrate into Action model with from_config/as_cli_dict support, and persist via LifecycleActionModel safety_profile_json column. Include resolve_safety_profile() stub that raises NotImplementedError for local mode, signalling that real enforcement is deferred. Add comprehensive test coverage: - 20 BDD scenarios in features/safety_profile.feature - 6 Robot Framework smoke tests - 5 ASV benchmark suites (11 timing functions) Add docs/reference/safety_profile.md reference documentation. ISSUES CLOSED: #332 |
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7d74be68aa |
feat(config): add project-scoped config overrides
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Add --project flag to config set, config get, and config list CLI commands, enabling per-project configuration overrides stored under [project."<name>"] TOML tables in the global config file. Project-scoped resolution slots between environment variable and global levels in the ConfigService resolution chain. config list --project shows only overrides for the named project with source annotations. Implementation: - ConfigService: add set_project_value() and get_project_overrides() methods for TOML-backed project-scoped persistence and retrieval - CLI config commands: wire --project flag through set, get, and list subcommands; project-scoped list filters to overrides only - Database persistence: project-scoped config stored as alternative backend for projects not using TOML - Documentation: update docs/reference/config_resolution.md with project-scopable key lists, CLI examples, precedence diagram, and non-scopable key rejection behavior Tests: - Behave: 12 BDD scenarios in features/config_project_scope.feature covering set/get/list, precedence over global defaults, and non-scopable key rejection - Robot: 5 integration smoke tests in robot/config_project_scope.robot for end-to-end project-scoped round-trip verification - ASV: benchmarks/config_project_scope_bench.py measuring resolution overhead with project scope active All nox quality gates pass: lint, typecheck, unit_tests (7522 scenarios), integration_tests (Config Project Scope suite passed), and coverage at 98% line rate (threshold 97%). Closes #259 |
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c781848cb6
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feat(interfaces): add server client stubs
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Add protocol stubs for remote server communication infrastructure: - ServerClient: Health check and version negotiation protocol - RemoteExecutionClient: Remote plan execution and status protocol - AuthClient: Authentication and token management protocol - StubServerClient/StubRemoteExecutionClient/StubAuthClient: Stub implementations raising NotImplementedError for all methods - ServerConnectionConfig: Validated config model (server_url, namespace, auth_token_ref, tls_verify) - Config keys: core.server_url, core.server_namespace, core.server_tls_verify - CLI: agents connect <url> stub command with explicit warning - CLI: agents info shows Server Mode (disabled/stubbed) ISSUES CLOSED: #201 |
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c43e1f8260
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feat(service): add subplan service and spawn workflow
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Add SubplanService for building child plans from DecisionService spawn entries and SubplanConfig. The service validates resource scopes, merge strategies, and max_parallel bounds before spawning. Key additions: - SubplanService: Orchestrates child plan creation from spawn entries - SpawnMetadata: Persisted metadata (spawn_decision_id, parent/root plan IDs, execution mode) for status output - Spawn validation: Checks resource scopes, merge strategy, and parallelism bounds before spawning - Documentation: subplan_service.md with spawn workflow and lifecycle ISSUES CLOSED: #197 |
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d3b182e10e |
feat(acms): add context request protocol models
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Add CRP domain models for the Advanced Context Management System: - ContextRequest: Focus-driven context retrieval with breadth, depth, strategy, temporal_scope, and skeleton_ratio parameters - ContextFragment: Retrieved context with UKO URI, provenance, relevance score, token count, and detail level metadata - ContextBudget: Token budget management with reservation support - DetailLevel: Five-tier enum (skeleton through full) - DetailLevelMap: Name-to-integer resolution registry with inheritance Add builtin/context skill with stubbed tools (request_context, query_history, get_context_budget) wired to future ACMS pipeline. ISSUES CLOSED: #190 |
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69efec9a65
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Merge branch 'master' into feature/m6plus-event-bus
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d17895dae2
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feat(events): add EventBus protocol and ReactiveEventBus implementation
- Add EventType StrEnum with 38 typed domain event identifiers across 8 domains (plan lifecycle, decision, actor, tool, resource, sandbox, validation, session, budget) - Add frozen DomainEvent Pydantic model with event_type, auto-UTC timestamp, auto-ULID correlation_id, plan_id, root_plan_id, session_id, actor_name, project_name, and details fields - Add @runtime_checkable EventBus Protocol with emit() and subscribe() - Add ReactiveEventBus backed by RxPY Subject for in-process reactive streaming with synchronous handler dispatch and raw Observable stream - Add LoggingEventBus using structlog for audit-trail-only environments - Wire DecisionService to emit DECISION_CREATED on record_decision() - Wire PlanLifecycleService to emit PLAN_CREATED and PLAN_PHASE_CHANGED on use_action() and execute_plan() respectively - Register ReactiveEventBus as Singleton in DI container and inject into DecisionService and PlanLifecycleService providers - Add Behave BDD unit tests: 27 scenarios, 75 steps, 100% branch coverage - Add Robot Framework integration tests: 9 smoke cases - Add ASV performance benchmarks: 5 suites covering emit throughput and subscriber fan-out - Add reference documentation at docs/reference/event_bus.md ISSUES CLOSED: #473 |
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86e245c585
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feat(checkpoint): add checkpointing and rollback
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fix Alembic migration down_revision to chain after m4_002_skill_flattened_tools (was pointing to stale c3_001_actor_registry) BDD coverage: 33 scenarios (7 new), 129 steps, all passing. ISSUES CLOSED: #206 |
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9f6fb667c2
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feat(subplan): execute and merge subplans
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Implement SubplanExecutionService and SubplanMergeService to enable parent plans to decompose work into coordinated child subplans with configurable execution modes (sequential, parallel, dependency-ordered) and merge strategies (git_three_way, sequential_apply, fail_on_conflict, last_wins). - SubplanExecutionService: schedules subplan execution with retry support via SubplanFailureHandler, max_parallel limits, fail_fast semantics, and topological DAG ordering for dependency mode - SubplanMergeService: wraps sandbox merge infrastructure to combine subplan sandbox outputs using the configured merge strategy - BDD tests: 21 scenarios covering all execution modes, merge strategies, validation, and integration flows - Robot tests: 11 integration test cases with helper module - ASV benchmarks: performance benchmarks for execution and merge - Documentation: reference guide in docs/reference/subplans.md ISSUES CLOSED: #184 |
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7c4663b8ee |
feat(config): add config service with multi-level resolution
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Implement the complete configuration system with multi-level resolution chain, typed key registry, and CLI integration per specification. ConfigService changes: - Expand _build_catalog() to register all 102 spec-aligned config keys across 8 groups: core (14), server (4), actor (5), plan (8), sandbox (5), index (12), context (43), provider (11) - Each key carries exact dotted-dash name, Python type, default value, explicit env var name per spec, project-scopability flag, and description - Fix _env_name() to convert dots and dashes to underscores - Provider keys use standard env var names (e.g., OPENAI_API_KEY) CLI commands rewiring: - Rewrite config set/get/list to use ConfigService instead of Settings - Add --verbose flag to config get showing full 5-level resolution chain - Add --project flag to config set/get/list for project-scoped overrides - Support both glob and regex patterns in config list - Validate keys against ConfigService registry with actionable errors - Retain backward-compatible helper functions delegating to ConfigService Documentation: - Add docs/reference/config_resolution.md covering resolution chain, all 102 config keys, CLI commands, TOML format, and provider credentials Testing: - Update all 4 Behave feature files and step definitions to use new spec-aligned key names, env vars, and defaults (119 scenarios passing) - Add robot/config_resolution.robot with 10 integration test cases - Add benchmarks/config_resolution_bench.py with 8 time + 2 memory suites ISSUES CLOSED: #258 |
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53455275ba
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feat(automation): add autonomy guardrails and audit trail
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Add runtime autonomy constraints (max steps, tool budget, required confirmations) and a structured audit trail for plan execution. New domain models: - AutonomyGuardrails: enforces step limits, tool budgets, and confirmation gates with validators and check methods - GuardrailAuditEntry: records each enforcement event with timestamp, event type, guard name, result, reason, and context - GuardrailAuditTrail: ordered collection of audit entries persisted to plan metadata New service: - AutonomyGuardrailService: high-level service for configuring guardrails per plan, checking constraints, recording audit entries, and serializing/restoring state via plan metadata Tests: - Behave: 69 scenarios covering model validation, step/budget/ confirmation checks, audit trail recording, and service operations - Robot: 8 test cases for autonomy guardrail CLI flag smoke testing - ASV: 6 benchmark suites measuring enforcement overhead Documentation: - Updated docs/reference/automation_profiles.md with guardrail fields, enforcement behavior, audit trail schema, and event type reference ISSUES CLOSED: #204 |
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64af753aab
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feat(security): add permission system
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Implemented namespace/project/plan/skill permission model with role bindings (owner/admin/editor/viewer) and default deny policy. Added enforcement hooks at CLI/service boundaries that are server-only; local mode returns permissive defaults. Includes role enums, permission check service, role matrix documentation. Includes Behave BDD scenarios, Robot integration tests, ASV benchmarks, and reference documentation. ISSUES CLOSED: #344 |
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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 |
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c825935309 |
docs(spec): recognize SafetyProfile as composed sub-model of AutomationProfile
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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. |
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0ca1303927 |
feat(sandbox): add checkpoint and rollback hooks
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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 |
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7235d46ade |
feat(skill): persist flattened tool sets
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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 |
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9af9ff8d95
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Merge branch 'master' into feature/m4-skill-registry-refresh
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174d1dc334
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Merge branch 'master' into feature/m4-skill-registry-cli
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4c4bd74d94
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Merge branch 'master' into feature/m3-agent-skills-loader
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a0f56228e2
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Merge branch 'master' into feature/m3-mcp-adapter
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120274da99 |
feat(di): wire decision services
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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 |
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493e5cf8a1 |
fix(security): wire read_only through ExecuteStubActor and replace stubs with real tests
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- Add read_only kwarg to ExecuteStubActor.execute(), propagated to ChangeSetCapture; PlanExecutor._run_execute_with_stub passes plan.read_only through the execution path (P1 #2 fix) - Replace CLI fail-fast and Action-Skill stub scenarios with real ExecuteStubActor spy test and SkillContext.enforce_write_guard integration tests (P2 #1 fix) - Update docs: remove unimplemented Layer 5 (Action-Skill), add ExecuteStubActor wiring description, fix test command (P2 #2 fix) ISSUES CLOSED: #322 |
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2b09568cfa |
feat(security): enforce read-only actions
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 |
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76db58414a
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Merge branch 'master' into feature/m3-agent-skills-loader
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f8bc02869a
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Merge branch 'master' into feature/m3-agent-skills-loader
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c406781b86 |
fix(security): address PR #435 review feedback
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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 |
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5d5d3fde2c |
fix(security): close async resources and leaks
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 |
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27bef69ddd |
feat(decision): add decision persistence
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 |
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595cfd172f
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Merge branch 'master' into feature/m3-mcp-adapter
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b25a886df8
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feat(skill): add MCP refresh hooks
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Implement SkillRegistry.refresh(name) and refresh_all() to recompute flattened tool sets on demand. Wire MCPToolAdapter.dispatch_notification() to MCPRefreshHook, which debounces rapid notifications/tools/list_changed bursts into a single refresh_all() call (default 0.5 s window). Add safeguard that skips tool-ref validation when no ToolRegistry is configured, emitting a single WARNING with recovery steps. Introduce immutable SkillRefreshResult (refreshed/failed/skipped counts) with to_summary() and merge() for CLI and log output. New files: - src/cleveragents/skills/refresh.py (SkillRefreshResult) - src/cleveragents/mcp/refresh_hook.py (MCPRefreshHook) - features/skill_refresh.feature (19 Behave scenarios) - features/steps/skill_refresh_steps.py - robot/skill_refresh.robot (10 Robot tests) - robot/helper_skill_refresh.py - benchmarks/skill_refresh_bench.py (ASV benchmarks) - docs/reference/skill_refresh.md Modified: - src/cleveragents/skills/registry.py (refresh, refresh_all) - src/cleveragents/mcp/adapter.py (notification listener API) - src/cleveragents/skills/__init__.py (export SkillRefreshResult) - src/cleveragents/mcp/__init__.py (export MCPRefreshHook) - CHANGELOG.md ISSUES CLOSED #168 |
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c40ea014dc
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feat(cli): add skill tools and refresh commands
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Implemented agents skill refresh command to recompute tool flattening and sync MCP-backed skills. Enhanced skill list/show/tools outputs with capability summary fields. - agents skill refresh <name>|--all to recompute flattening - Enhanced skill list/show/tools with capability summary and tool counts - Added --format json/yaml schemas for refresh output - CLI errors for nonexistent skills and MCP sync failures - Behave tests (skill_cli.feature), Robot tests (skill_cli.robot) - ASV benchmarks (skill_cli_bench.py) for CLI overhead baseline - Updated docs/reference/skill_cli.md with refresh command examples - Documented refresh side effects and caching behavior ISSUES CLOSED: #167 |
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cb82fc51df
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feat(skill): add agent skills loader
Implemented AgentSkillSpec loader that parses SKILL.md frontmatter and progressive disclosure sections (discover/activate/deactivate) into structured SkillStep objects with stable 1-based ordering. Mapped Agent Skills to AgentSkillToolDescriptor with namespaced naming (namespace/short_name), source="agent_skill", read-only defaults, and AgentSkillResourceSlot bindings for scripts/, references/, and assets/ directories. All resource slots are unconditionally read_only. Added explicit validation for missing frontmatter fields (name, description) and invalid namespace format with actionable error messages. Added docs/reference/agent_skills.md covering folder layout, SKILL.md parsing rules, progressive disclosure model, and tool mapping. Added Behave scenarios covering valid/invalid SKILL.md parsing, namespaced naming, step ordering, missing frontmatter errors, progressive disclosure lifecycle, tool mapping, and resource binding slots. Added Robot Framework integration tests using the deploy-to-staging example skill folder (robot/agent_skills_loader.robot). Added ASV benchmarks for parsing throughput, folder load, progressive disclosure lifecycle, and resource listing (benchmarks/agent_skills_loader_bench.py). ISSUES CLOSED: #160 |
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519e26fb02
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Merge branch 'master' into feature/m3-mcp-adapter
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b8d7c4c893
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Merge branch 'master' into feature/m2-actor-yaml
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e3fcce413b |
feat(changeset): persist changesets and diff artifacts
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Add SQLite persistence for ChangeSet entries and ToolInvocation records via new changeset_repository module implementing the ChangeSetStore protocol. - Alembic migration d0_001 creates changeset_entries and tool_invocations tables - SqliteChangeSetStore, ChangeSetEntryRepository, ToolInvocationRepository - PlanApplyService.cleanup_changeset() for cancel/failure cleanup - Behave tests (17 scenarios), Robot tests (5 cases), ASV benchmarks - Reference documentation in docs/reference/changeset.md Closes #163 |
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134dce896a |
feat(provider): add cost controls and fallback
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Add token/cost tracking, budget enforcement (per-plan and per-day), provider fallback selection with capability filtering, and cost metadata for plan models. New modules: - providers/cost_table.py: CostEntry + ProviderCostTable with default pricing for OpenAI, Anthropic, Google, Groq, Together, Cohere, Mock - providers/cost_tracker.py: BudgetStatus enum, BudgetCheckResult, CostTracker with warn-at-90%/block-at-100% enforcement - providers/fallback_selector.py: FallbackSelector with capability filtering (tool_calls, streaming, vision, json_mode) and budget - domain/models/core/cost_metadata.py: CostMetadata + BudgetExhaustionEvent Modified: - config/settings.py: budget_per_plan, budget_per_day, fallback_providers - domain/models/core/plan.py: cost_metadata field + CLI dict surfacing - providers/__init__.py: public exports for new classes Testing: - 71 Behave scenarios in features/cost_controls.feature (all pass) - 6 Robot Framework integration tests (all pass) - ASV benchmarks in benchmarks/cost_controls_bench.py - nox lint, typecheck, format, docs, build, dead_code, security_scan pass Closes #324 |
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7a298ede6e |
feat(concurrency): add plan and project locks
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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 |
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ee82d6101e
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feat(skill): add MCP adapter for external tools
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 |
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913fd31e07
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Merge branch 'master' into feature/m2-actor-yaml | ||
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e476d2de0e
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feat(actor): extend hierarchical actor YAML schema and loader
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 |