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c65e8a5285
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feat(resource): add cloud infrastructure resources
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Implement cloud resource types (aws, gcp, azure) with credential fields, region/tenant metadata, and stubbed sandbox strategies. Credential resolution uses environment variables and profile names with no secrets logged. Key changes: - Add CloudResourceHandler with aws/gcp/azure type definitions - Add credential resolution from env vars and profile names - Add stubbed sandbox strategies (validate config, raise NotImplementedError) - Register cloud types in bootstrap_builtin_types - Credential masking via existing redaction patterns - Add Behave BDD tests, Robot integration tests, ASV benchmarks ISSUES CLOSED: #343 |
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2acb957d83
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fix(cli): replace in-memory automation-profile repository with database-backed persistence
The automation-profile CLI commands used an _InMemoryProfileRepository (a Python dict) that lost all data between CLI process invocations. Profiles created with "automation-profile add" were invisible to subsequent "automation-profile show" or "list" calls because each CLI command is a separate process with a fresh empty dict. Changes: - Replaced _InMemoryProfileRepository with the real AutomationProfileRepository from the infrastructure layer, wired via the DI container following the same pattern as tool.py and session.py. - Added auto_commit support to AutomationProfileRepository (matching the existing SessionRepository pattern) so that CLI commands running outside a UnitOfWork commit each operation automatically. - Added safety_json and guards_json Text columns to the automation_profiles table (Alembic migration m6_005) for full-fidelity round-trip of the AutomationGuard and SafetyProfile sub-models. Previously, guards and several safety fields (max_cost_per_plan, max_retries_per_step, etc.) were silently dropped on persistence. - Updated _from_domain, _to_domain, and _update_row to serialize and deserialize the full guard and safety sub-models via JSON, with backward-compatible fallback to legacy scalar columns. Refs: #746 |
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2688c85769 |
feat(extensibility): implement Custom Sandbox Strategy Registration via SandboxStrategy Protocol
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Implement SandboxStrategyProtocol, a 9-method @runtime_checkable Protocol enabling third-party sandbox strategy registration. Includes: - SandboxStrategyProtocol with create/read/write/diff/commit/rollback/checkpoint/ restore_checkpoint/cleanup methods - SandboxRef (frozen dataclass) and DiffView/DiffEntry (Pydantic models) - SandboxStrategyRegistry with config-driven registration, Protocol validation, thread safety, and clear/list/has operations - BuiltInSandboxStrategyAdapter wrapping existing Sandbox implementations to conform to the new Protocol - CustomStrategyConfig for YAML/dict-based strategy registration - SandboxFactory integration with custom_registry parameter, has_custom_strategy() and get_custom_strategy_class() - 25 Behave BDD scenarios (85 steps) covering protocol, registry, adapter, config, and factory integration - 8 Robot Framework integration tests with real filesystem operations - ASV benchmarks for registry and adapter operations - Developer documentation ISSUES CLOSED: #586 |
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89eaee008d |
feat(acms): implement UKO Layer 3 Technology Vocabularies (uko-py, uko-ts, uko-rs, uko-java)
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Implement Layer 3 technology-specific UKO vocabulary extensions for Python, TypeScript, Rust, and Java with language-specific classes, properties, and DetailLevelMap insertions. - 4 OWL/Turtle ontology files with language-specific semantic classes - DetailLevelMap insertion logic with correct integer reassignment - Provenance contract (5 required fields per spec) - Full 4-layer chain resolution (Layer 3 -> Layer 2 -> Layer 1 -> Layer 0) - Comprehensive Behave test suite (63 scenarios) ISSUES CLOSED: #576 |
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3c014a9565 |
feat(acms): implement UKO Layer 2 Paradigm Vocabularies (uko-oo, uko-func, uko-proc)
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3e3e9b4b5d
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feat(observability): wire AuditService.record() into domain services via EventBus auto-dispatch
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Implements AuditEventSubscriber that subscribes to all 9 security-relevant EventType members and persists redacted audit entries via AuditService.record(). Key components: - AuditEventSubscriber: bridges EventBus and AuditService (SEC7) - SECURITY_EVENT_MAP: maps EventType enum to audit type strings - Redaction via redact_dict() on event details before persistence - Graceful error handling: failures logged, never propagated Post-review fixes applied: - BUG-1: Remove dead correlation_id null-check guard (DomainEvent.correlation_id is always non-None via ULID default_factory) - SEC-2: Redact exception messages in warning logs via redact_value() to prevent potential leakage of sensitive internal state (e.g. DB connection strings) - PERF-3: Pre-generate unique DomainEvent instances in ASV benchmark setup to avoid skew from reusing a single frozen object - Wire event_bus from the DI container into CorrectionService (plan.py), ConfigService (config.py, skill.py x2, server.py), and PersistentSessionService (session.py) at their CLI construction sites. Closes #581 |
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ec0b7631d0 |
refactor(a2a): rename ACP module and symbols to A2A standard
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Renamed src/cleveragents/acp/ to src/cleveragents/a2a/ and all 13 Acp* classes to A2a* per ADR-047 (A2A Standard Adoption). Updated all imports, structlog event names (acp.* → a2a.*), field names (acp_version → a2a_version), and test references across the entire codebase. This is a cosmetic rename only — no behavioral changes. ISSUES CLOSED: #688 |
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7ac3f1352c
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feat(devcontainer): add container-aware tool execution and I/O forwarding
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Implement ContainerToolExecutor for delegating tool invocations to devcontainer environments with full I/O forwarding. Add PathMapper for bidirectional host/container path translation. Wire container routing into ToolRunner with graceful fallback when no executor is configured. Add container_metadata field to ToolInvocation for tracking execution context. New modules: - tool/container_executor.py: ContainerToolExecutor, ContainerConfig, ContainerMetadata, ContainerExecutionError, ContainerTimeoutError - tool/path_mapper.py: PathMapper with host_to_container/container_to_host Modified: - tool/runner.py: container execution routing via ExecutionEnvironment - domain/models/core/change.py: container_metadata on ToolInvocation - tool/__init__.py: new public exports Review fixes applied: - Add Alembic migration m6_004 for container_metadata_json column - Enforce _MAX_OUTPUT_BYTES (50 MiB) truncation in _run_command() - Fix path traversal in sync_results_to_host (Path.is_relative_to) - Allow spaces in _looks_like_path() for valid filesystem paths - Preserve negative exit codes from signal kills in metadata - Add default=str to json.dumps(invocation.arguments) safety net - Log warnings when path mapping recursion depth exceeded - Warn when devcontainer binary not found on PATH - Use default allow_nan for host-path JSON validation in runner.py (only container path requires RFC 7159 strict mode) - Reject URL-like patterns in _looks_like_path() to avoid false positives on API routes, protocol-relative URIs, and query strings - Add extract_container_metadata() static helper on ContainerToolExecutor as bridge for ToolInvocation wiring - Use raw_stdout bytes in sync_results_to_host to prevent binary file corruption from text-mode decode/re-encode - Apply posixpath.normpath() in workspace_folder validator and reject path components containing '..' - Check result.timed_out in sync_results_to_host and raise ContainerTimeoutError instead of always raising ContainerExecutionError - Detect overlapping host_root/container_root in PathMapper and raise ValueError to prevent corrupt bidirectional mappings - Wrap host-side I/O in sync_results_to_host with try/except OSError to produce ContainerExecutionError on write failure - Enforce int(timeout) in _build_exec_command to prevent shell injection via malicious objects with __str__ methods - Change ToolResult validator from 'not self.error' to 'self.error is None' so empty-string errors are accepted - Iterate required list directly in ToolRunner schema validation to detect fields listed in required but absent from properties Closes #515 |
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4d3499dcfb
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feat(async): wire retry policies into services
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Wire per-service retry policies and circuit breakers into the service layer via ServiceRetryWiring, backed by ServiceRetryPolicyRegistry and configurable through Settings environment variables. Production hardening from code review: - Fix TOCTOU race in CircuitBreaker._on_success (half-open state) - Add half-open probe limit to prevent unbounded concurrent requests - Track all exception types for circuit breaker failure counting - Detect async callables wrapped in functools.partial and callable objects - Enforce spec-compliant 2s minimum for linear backoff strategy - Enforce 0.1s floor for fixed backoff strategy - Add retry amplification guard via contextvars nesting depth tracking - Cap total retry wall-clock time at 300s (MAX_RETRY_TOTAL_TIMEOUT) - Sanitize exception messages in retry logs to prevent secret leakage - Fix wrap_service_method TOCTOU by holding cache lock for full operation - Deep-copy default policies to prevent cross-policy mutation - Warn on unknown override keys in apply_overrides - Guard apply_overrides against non-dict and deeply nested JSON values - Read circuit breaker state under lock in is_circuit_open - Catch RecursionError in JSON config parsing - Add total_timeout + nesting guard to retry_service_operation decorator - Extend secret sanitization to Authorization headers, private_key, connection_string, and access_key patterns - Enforce 0.1s floor on jitter backoff strategy - Cache wait strategies per service in ServiceRetryWiring (M3) - Reset failure_count to 0 when entering half-open from open (M6) - Use cached _get_wait_strategy() in execute()/async_execute() - Move circuit-open logging out of _on_failure lock scope to prevent holding the lock during potentially slow I/O (F1) - Pass total_timeout=MAX_RETRY_TOTAL_TIMEOUT to wrap_service_method retry_service_operation call for consistency with execute() (F4) - Capture failure_count into local variable inside lock scope before logging outside the lock, preventing stale reads from concurrent threads in CircuitBreaker.call() and async_call() (F1) - Deep-copy module-level DEFAULT_DATABASE_RETRY and DEFAULT_CIRCUIT_BREAKER in ServiceRetryPolicyRegistry.get() for auto-generated unknown service policies, preventing shared mutable state corruption (F1) - Unify CircuitBreaker to a single threading.Lock for sync and async (P1-1) - Restore BaseException permit in half-open path to prevent permit leak (P1-6) - Prevent CircuitBreakerOpen cascading into failure_count (S2) - Protect all logger calls with contextlib.suppress (S3, S4) - Replace time.time() with time.monotonic() for monotonic timing (S5) - Add distinct log events for half-open and closed transitions (S11, S12) - Track pre-existing services so second apply_settings_defaults only targets newly registered services (P1-2) - Lazy circuit breaker creation via _get_or_create_cb() (P1-3) - Reject async callables in sync execute() with TypeError (P1-5) - Strengthen retry predicate to retry_if_exception_type(Exception) & retry_if_not_exception_type(CircuitBreakerOpen) (S1) - Add lock on _get_wait_strategy cache access (P2-16) - Truncate raw JSON to 80 chars in override warning (P2-17) - Warn on non-dict JSON overrides (P2-29) - Debug log for nesting guard bypass (S13) - Deep-copy from get() and all_policies() in registry (P1-4) - Thread-safe registry with threading.Lock (P2-15) - Robust exception handling in apply_overrides get() (P2-18) - Log ValidationError details on override failure (P2-19) - Sanitize service_name via _safe_service_name() (P2-28) - Warn on non-dict sub-key values in overrides (P2-30) - Allowlist for is_read_only_plan_operation phases (P2-10) - Cap retry_auto_debug sleep at 60s (P2-11) - Use is-not-None instead of falsy checks for error values (P2-12) - Extend secret regex with bearer, session_id, auth_token, refresh_token, client_secret patterns (P2-25) - Pre-truncate error messages to 2000 chars before regex (P2-26) - Add upper bounds on retry Settings fields (P2-7) - Add cross-field validator max_delay >= base_delay (P2-8) - Case-insensitive backoff strategy validation (P2-21) - Add half_open_max_successes setting (S10) - Remove phantom ContextFragment from services __all__ (ImportError fix) - Export ServiceRetryWiring from application.services package - Include sanitised error context in TypeError logging fallback - Initialise RetryContext.attempt_count to 1 for bare context-manager usage - Introduce CircuitBreakerState StrEnum replacing raw string literals - Fix vacuous CircuitBreakerOpen propagation assertions in BDD steps - Replace tautological logging test with structlog capture verification - Assert circuit breaker existence instead of silently skipping on None - Add Unicode control-char rejection validator to ServiceRetryPolicy.service_name - Add name parameter with service= in all log calls - Add extra="forbid" to all 3 Pydantic models - Deep-copy _SERVICE_DEFAULTS construction - Key normalisation (.strip()) in get() and apply_overrides() - Add cooldown <= recovery_timeout validator - Async guard on RetryContext.execute() - Nesting guard on RetryContext.execute()/async_execute() - stop_after_delay(300.0) on RetryContext - retry_auto_debug async-only guard, dict result fix, sleep guard - Retry-attempt logging in RetryContext - Module-level docs for contextlib.suppress(TypeError) rationale - Exhaustion log on retry failure - Startup log in __init__; name=service_name to CircuitBreaker - log_after_retry guarded to not fire on first-attempt success - get_retry_decorator now includes logging callbacks - Changed retry_backoff_strategy from str to RetryStrategy StrEnum Closes #313 |
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f2e44b2cf1 |
Merge remote-tracking branch 'origin/master' into feature/m3-fix-actor-list-empty
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# Conflicts: # features/mocks/fake_provider.py |
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205e94eb52 |
Merge remote-tracking branch 'origin/master' into feature/m3-fix-actor-list-empty
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# Conflicts: # CHANGELOG.md # noxfile.py |
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5c5de082f2 |
Merge remote-tracking branch 'origin/master' into tdd/actor-list-validation
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# Conflicts: # benchmarks/tdd_session_create_di_bench.py # features/steps/tdd_session_create_di_steps.py # robot/helper_tdd_session_create_di.py # robot/tdd_session_create_di.robot |
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aa5d5eeaf5 |
test(session): add TDD failing tests for session create DI error
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Implement TDD bug-capture tests for bug #570 where `agents session create` fails because `_get_session_service()` calls `container.db()` which does not exist on the DI Container class (AttributeError). Same root cause as bug #554. Behave BDD scenarios tagged @tdd_bug @tdd_bug_570 @tdd_expected_fail exercise the real DI path (no mocks). Includes Robot Framework integration smoke tests with self-inverting helper and ASV benchmark baseline. ISSUES CLOSED: #631 |
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d5f7f15215 |
feat(acms): implement Temporal Data Model (Revision-Aware RDF) with 3 storage tiers
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Temporal metadata fields (validFrom, validUntil, isCurrent, isRevisionOf) on UKO InformationUnit nodes enable revision chain tracking: when code changes, old nodes are marked historical and new revision nodes are created with back-links. Three storage tiers (hot/warm/cold) filter nodes by temporal scope (current/recent/all) with configurable retention (warm_retention_hours default 24h, cold_retention_days default 90d). Includes TemporalMetadata, TemporalNode, RevisionChain, TierQueryResult, TierRetentionConfig frozen domain models, TemporalBackend protocol, InMemoryTemporalBackend stub, TemporalService with structlog and DI, BackendSet.temporal typing upgrade from object|None to TemporalBackend|None. 67 Behave scenarios, 8 Robot Framework tests, ASV benchmarks, and reference documentation. ISSUES CLOSED: #577 |
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12b026e100 |
Merge remote-tracking branch 'origin/master' into feature/m5-realtime-index-sync-ukoindexer
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1e606553d4 |
feat(acms): implement Real-time Index Sync / UKOIndexer with pluggable analyzers
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Implement the UKOIndexer service that produces UKO triples from resources using pluggable domain-specific analyzers, wraps each triple with provenance metadata, and simultaneously indexes into text, vector, and graph backends. Key design decisions and components: - UKOIndexer orchestrates the full index lifecycle: add_resource, update_resource (remove-then-add), remove_resource, and maintenance triggers. Each operation fires lifecycle hooks (on_indexed, on_removed, on_error) so callers can observe progress. - Analyzer selection is pluggable via ContentAnalyzer protocol. The indexer accepts a registry mapping resource types to analyzers. PythonAnalyzer and MarkdownAnalyzer are provided as built-in implementations. - LocationContentReader protocol abstracts file I/O with a base_dir parameter for path-traversal prevention (post-resolve validation rejects paths escaping the base directory and non-regular files). - UKOTriple model includes a @model_validator ensuring at least one of object_uri or object_value is populated, preventing empty triples at construction time. - Triple removal uses scoped deletion via uko:sourceResource predicate to avoid shared-subject collision — only triples originating from the specific resource are removed, not all triples for a shared subject. - _resource_subjects.pop is deferred until after all backend removal operations succeed, preventing inconsistent state on partial failure. - analyzer.analyze() is wrapped in try/except so that analyzer errors produce an IndexResult with error details rather than propagating exceptions to callers. - All lifecycle hook calls are guarded via _fire_on_indexed, _fire_on_removed, and _fire_on_error helpers that catch and log hook exceptions without disrupting the indexing pipeline. - max_triples parameter (default 50,000) bounds analyzer output size to prevent runaway resource consumption. - ResourceFileWatcher monitors filesystem paths via watchdog and triggers re-indexing callbacks on file changes with configurable debouncing. Emits RESOURCE_MODIFIED domain events via EventBus when file changes are detected. Debounce timers coalesce rapid edits into a single callback invocation. Thread-safe design with daemon threads for clean shutdown. - SearchResult.__post_init__ validates score is in [0.0, 1.0], correctly rejecting NaN values. - Placeholder embedding uses [1.0] instead of [float(len(content))] to avoid leaking content size information. - isinstance check on graph_backend ensures GraphIndexBackend protocol compliance at runtime. - Test doubles extracted to features/mocks/uko_indexer_mocks.py for reuse across BDD steps and Robot helpers. Spec reference: Architecture > ACMS > Real-time Index Synchronization (specification.md lines ~43205-43300). ISSUES CLOSED: #578 |
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6bce5479f3 |
Merge branch 'master' into tdd/session-list-di-error
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# Conflicts: # features/environment.py # noxfile.py |
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de379d4a33 |
Merge remote-tracking branch 'origin/master' into feature/m3-fix-session-list-error
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# Conflicts: # CHANGELOG.md |
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73d5552467 |
fix(actor): handle empty actor list without validation error
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ActorRegistry._actor_name() built names via f"{provider}/{model}", which
produced names with multiple slashes when providers included models
containing "/" (e.g. OpenRouter's "anthropic/claude-sonnet-4-20250514").
The resulting name violated the spec pattern ^[a-z0-9_-]+/[a-z0-9_-]+$
and triggered a ValidationError during actor upsert.
Now sanitises both provider and model components by replacing "/" with "-"
and lowercasing, so multi-slash provider models no longer break actor
listing.
Includes 6 Behave BDD regression scenarios (covering zero-provider,
multi-slash, consecutive-slash, leading-slash, and name-validation
cases), Robot Framework integration smoke tests, and ASV benchmarks.
ISSUES CLOSED: #592
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8d235c97fc | Merge branch 'tdd/session-create-di-error' into tdd/actor-list-validation | ||
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142895e34d |
Merge remote-tracking branch 'origin/master' into feature/m3-fix-session-create-error
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# Conflicts: # CHANGELOG.md |
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2365f9a355 |
test(actor): add TDD failing tests for actor list empty validation error
Behave BDD scenarios (3) tagged @tdd_bug @tdd_bug_592 @tdd_expected_fail exercise the real ActorRegistry._actor_name() code path with a provider whose default model contains '/' separators. The tests assert correct behaviour (exit 0, single-slash names, valid JSON) and fail while the bug is present; the @tdd_expected_fail handler inverts results so CI stays green. Includes Robot Framework integration smoke tests (3), ASV benchmarks (3), and a shared FakeProviderInfo/FakeProviderRegistry mock in features/mocks/fake_provider.py. ISSUES CLOSED: #634 |
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1e116e3fec |
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1be8dd9cb9 |
Merge branch 'master' into feature/m3-fix-session-list-error
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d0689573e0 |
test(cli): add failing tests for session create DI container error
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Add TDD regression tests for bug #570 where `_get_session_service()` calls `container.db()` but the DI `Container` class has no `db` provider, raising `AttributeError`. Same root cause as bug #554. Includes 4 Behave BDD scenarios tagged `@tdd_bug @tdd_bug_570 @tdd_expected_fail`, Robot Framework integration smoke tests with `--format plain`, and ASV service-layer benchmarks. Tests exercise the real DI path by resetting `_service = None` and using a file-based SQLite database. Implements the `@tdd_expected_fail` inversion infrastructure: - Behave: `after_scenario` hook in `features/environment.py` inverts pass/fail for scenarios tagged `@tdd_expected_fail` - Robot: `robot/tdd_expected_fail_listener.py` listener (API v3) performs the same inversion for Robot test cases - `noxfile.py`: registers the listener via `--listener` in both the `integration_tests` and `slow_integration_tests` sessions Migrates 18 existing TDD scenarios across 5 feature files from the old `@tdd @bugNNN` convention to the standardised `@tdd_bug @tdd_bug_NNN` tags per CONTRIBUTING.md § TDD Bug Test Tags. Refs: #570 |
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4c5589da4e |
test(cli): add failing TDD tests for session list DI container error
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Add 10 Behave BDD scenarios (@tdd_bug @tdd_bug_554 @tdd_expected_fail) for the session list DI wiring bug where _get_session_service() calls container.db() but the Container has no db provider (AttributeError). Scenarios cover empty list, format validation (JSON/YAML/plain/rich), init-then-list lifecycle, and post-create list paths. Implement @tdd_expected_fail infrastructure: Behave after_scenario hook inverts FAIL→PASS (expected) and PASS→FAIL (unexpected fix), plus Robot Framework listener (Listener API v3) with identical semantics registered via --listener in both integration_tests and slow_integration_tests nox sessions. Migrate 18 existing TDD scenarios across 5 feature files from legacy @tdd @bugNNN convention to @tdd_bug @tdd_bug_NNN per CONTRIBUTING.md § TDD Bug Test Tags. Includes Robot Framework integration smoke tests and ASV service-layer benchmarks. Refs: #554 |
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471426f5b6 |
Merge branch 'master' into tdd/session-create-di-error
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c054675167 |
feat(resource): add database resources
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Implement database resource types (postgres, mysql, sqlite, duckdb) with connection args, auth handling, and transaction-based sandbox strategy using BEGIN/ROLLBACK/COMMIT wrappers. Key changes: - Add DatabaseResourceHandler with 4 database type definitions - Implement TransactionSandbox for transaction_rollback strategy - Wire TransactionSandbox into SandboxFactory - Register database types in bootstrap_builtin_types - Add connection validation with credential masking - Add Behave BDD tests, Robot integration tests, ASV benchmarks ISSUES CLOSED: #342 |
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b80a9232fa |
test(session): add TDD failing tests for session create DI error
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Implement TDD bug-capture tests for bug #570 where `agents session create` fails because `_get_session_service()` calls `container.db()` which does not exist on the DI Container class (AttributeError). Same root cause as bug #554. Behave BDD scenarios tagged @tdd_bug @tdd_bug_570 @tdd_expected_fail exercise the real DI path (no mocks). Includes Robot Framework integration smoke tests with self-inverting helper and ASV benchmark baseline. ISSUES CLOSED: #631 |
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06bbe48a9c |
test(session): add TDD failing tests for session list DI error
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Implement TDD bug-capture tests for bug #554 where `agents session list` fails because `_get_session_service()` calls `container.db()` which does not exist on the DI Container class (AttributeError). Behave BDD scenarios tagged @tdd_bug @tdd_bug_554 @tdd_expected_fail exercise the real DI path (no mocks) and assert correct behavior. The @tdd_expected_fail handler in environment.py inverts failed→passed while the bug is present, keeping CI green. Also adds: - @tdd_expected_fail infrastructure in features/environment.py (tag validation + status inversion in after_scenario hook) - behave-parallel exit logic fix to use summary-based failure detection (compatible with TDD status inversion) - Robot Framework integration smoke tests with self-inverting helper - ASV benchmark baseline for session list command throughput ISSUES CLOSED: #630 |
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876217d0ca |
feat(guardrails): implement Per-Session and Per-Org Cost Budgets
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Implements Forgejo issue #584: three-tier budget hierarchy (per-plan -> per-session -> per-org) with tightest limit winning. Domain models: - BudgetLevel enum (PLAN, SESSION, ORG) - BudgetCheckResult (frozen Pydantic model with exceeded_level, warning) - SessionCostBudget (tracks per-session accumulated cost) - OrgCostAccumulator (tracks per-org accumulated cost) - ThreadSafeOrgCostAccumulator (thread-safe wrapper with snapshot) Application services: - CostBudgetService: manages budget state, enforces hierarchy, emits BUDGET_WARNING (once per session) and BUDGET_EXCEEDED events - AutonomyGuardrailService: extended with associate_plan_with_session, check_budget_hierarchy, record_plan_cost_to_session methods Configuration: - Settings: session_max_cost_usd, org_max_cost_usd, budget_warning_threshold Integration: - Session model: cost_budget field, as_cli_dict includes budget data - DI container: CostBudgetService registered as Singleton - CLI session show: cost budget panel display Tests: - 54 Behave scenarios (features/cost_budgets.feature) - 11 Robot Framework integration tests (robot/cost_budgets.robot) - ASV benchmarks (benchmarks/bench_budget_check.py) All nox stages pass: lint, typecheck, unit_tests, coverage_report (98%). CLOSES #584 |
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958eb0c060 |
feat(observability): implement Metrics Collection Framework (14 metric types with Histogram/Counter/Gauge)
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Implement the structured metrics collection framework covering 14 operational metric types with proper Histogram, Counter, and Gauge semantics per the spec (Architecture > Observability > Metrics Collection, lines ~43805-43825). Domain layer: - Add MetricType enum (HISTOGRAM, COUNTER, GAUGE) to metrics.py - Add MetricDefinition model and METRIC_DEFINITIONS registry mapping all 14 OperationalMetricKey values to their metric types - Extend MetricCollector with typed factory methods (histogram, counter, gauge) and 14 convenience methods (plan_duration, plan_cost, plan_decision_count, subplan_count, actor_invocation_count, actor_latency, tool_invocation_count, tool_error_rate, context_build_time, context_token_count, llm_call_count, llm_total_tokens, llm_total_cost, llm_avg_latency) - Extend MetricEntry with optional metric_type field that auto-resolves from METRIC_DEFINITIONS via MetricCollector.record() Infrastructure layer: - Add MetricsEmitter (infrastructure/observability/metrics_emitter.py) with emit(), emit_batch(), from_settings(), and enabled/disabled support for structured log emission in local mode - Add metrics_log_processor (config/metrics_processor.py) for structlog integration Configuration: - Add metrics_enabled and metrics_export_prometheus settings - Register MetricsEmitter as DI Singleton in application container Instrumentation: - Add best-effort metric emission in PlanExecutor for plan_duration (both runtime and stub execute paths) and plan_decision_count (strategize path) via _try_emit_metric helper that tolerates invalid plan IDs in test fixtures Testing: - 34 Behave BDD scenarios (features/observability/metrics_collection.feature) - 8 Robot Framework integration tests (robot/metrics_collection.robot) - ASV benchmark suite (benchmarks/bench_metrics_collection.py) Closes #579 |
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a41fc02f11 |
feat(acms): add strategy coordinator and fusion engine
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Implement StrategyCoordinator and FusionEngine as named facades over the existing ACMS pipeline components, providing clean public APIs for parallel strategy execution with proportional budget allocation and fragment fusion with dedup/conflict resolution/knapsack packing. Key changes: - Add StrategyCoordinator with parallel execution and confidence-based budget allocation - Add FusionEngine with URI+hash dedup, max-depth conflict resolution, greedy knapsack packing - Add budget overage guard with lowest-relevance fragment dropping - Add per-strategy max caps enforcement - Wire into existing ContextAssemblyPipeline - Add Behave BDD tests, Robot integration tests, ASV benchmarks - Add docs/reference/acms_fusion.md ISSUES CLOSED: #192 |
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521a552e56 |
feat(extensibility): implement Plugin Architecture Framework with module:ClassName resolution
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Implement plugin architecture framework enabling custom implementations of tools, strategies, sandbox strategies, index backends, and pipeline components through module:ClassName resolution and entry point discovery. Key changes: - Add infrastructure/plugins/ package with PluginLoader, PluginManager, types, exceptions - Implement dynamic import via module:ClassName with security prefix allowlist - Add entry point discovery via importlib.metadata - Add Protocol validation for loaded plugin classes - Add plugin lifecycle management (discover/activate/deactivate) - Add config-driven registration (custom_module + custom_class + custom_options) - Register PluginManager in DI container - Add comprehensive Behave BDD tests, Robot integration tests, ASV benchmarks ISSUES CLOSED: #585 |
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cf67ba0a86
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feat(devcontainer): add lazy activation and lifecycle management
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Implemented lazy container activation for devcontainer-instance resources with ContainerLifecycleState enum tracking six states (inactive, starting, active, stopping, stopped, error) with validated transitions. Extended DevcontainerHandler with devcontainer up CLI integration and JSON output parsing for container start. Added periodic health checking via devcontainer exec ping with configurable interval. Added agents resource stop and agents resource rebuild CLI commands for manual lifecycle control. Wired session close and plan completion hooks to automatic container cleanup. Includes lifecycle state persistence in resource registry with timestamped transitions. Added Behave BDD tests, Robot integration tests, and ASV activation latency benchmarks. - Added remoteWorkspaceFolder absolute-path validation - Aligned spec: handler name, rebuild types, --yes flag on stop/rebuild - Added registry re-read in stop_container success path for consistency - Added session_id field to ContainerLifecycleTracker for scoped cleanup - Scoped stop_all_active_containers to session_id when provided - Wired _cleanup_devcontainers into fail_apply and fail_execute - Wired start_health_check into activate_container success path - Restructured facade session close to always run container cleanup even without session service (F4) - Re-read tracker from registry in activate_container success path - Added evict_terminal_trackers to cap registry growth - Updated devcontainer_resources.md: health check auto-start, scoped cleanup hooks, known limitations for eviction and sandbox_strategy - Wired evict_terminal_trackers into stop_all_active_containers so terminal-state trackers are actually evicted in production - Made stop_container idempotent: returns early when container is already in a terminal state instead of raising ValueError - Fixed benchmark health check thread leak in TimeActivationLatency by clearing registry after each timing loop - Added rebuild pass-through (--reset-container flag to devcontainer up) - Added host_workspace_path field on ContainerLifecycleTracker so health probes use the host-side path for devcontainer exec - Wired lazy activation into DevcontainerHandler.resolve() for devcontainer-instance resources in non-running states - Changed _default_strategy from SNAPSHOT to NONE (container itself provides isolation; SandboxFactory raises NotImplementedError for snapshot) - Restricted _STOPPABLE_TYPES to devcontainer-instance only (container-instance is not directly stoppable via CLI) ISSUES CLOSED: #514 |
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bb8175aa11 |
feat(resource): add resource type inheritance and polymorphic tool matching
Implement ADR-042 single-inheritance for resource types with polymorphic tool and handler resolution. Core changes: - Add `inherits` field to ResourceTypeConfigSchema, ResourceTypeSpec, and ResourceTypeModel with chain depth validation (max 5), circular inheritance detection, and built-in-from-custom guard - New inheritance.py module (390 lines): resolve_inheritance_chain(), validate_chain(), is_subtype_of(), resolve_fields(), find_subtypes() - Wire inheritance into ResourceRegistryService: chain validation on register_type(), resolve_type_inheritance_chain(), is_subtype_of() - Add find_tools_for_resource() to ToolRegistry with polymorphic matching that walks the inheritance chain - Add resolve_handler_polymorphic() to handler resolver - Alembic migration m6_004_resource_type_inherits adds inherits column and index to resource_types table CLI changes: - `agents resource type list` shows Inherits column - `agents resource type show` displays inheritance chain Tests: - 30 BDD scenarios in resource_type_inheritance.feature (all pass) - 18 Robot Framework test cases - 14 ASV benchmark timing methods across 4 suites Docs: - docs/reference/resource_type_inheritance.md (full reference) - Updated docs/schema/resource_type.schema.yaml - CHANGELOG entry for #513 ISSUES CLOSED: #513 |
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7d958121ad |
feat(context): add repo indexing service
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Add RepoIndexingService with incremental refresh, language detection, SHA-256 hashing, and policy enforcement. Includes domain models, DB persistence, DI wiring, Behave/Robot/ASV tests, and reference docs. ISSUES CLOSED: #195 |
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16dc4ab18d |
fix(project): show created project after creation (#593)
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## Summary Fix `agents project show` not finding a project immediately after creation. Extends the `session.commit()` fix from #589 to also cover `update()` and `delete()` in `NamespacedProjectRepository`. ## Changes **Production fix** (`src/cleveragents/infrastructure/database/repositories.py`): - Add `session.commit()` to `create()`, `update()`, and `delete()` methods - Add `finally: session.close()` guard to all three methods - Update class docstring to reflect commit-per-method pattern **Tests & benchmarks**: - 3 Behave BDD regression scenarios (`features/project_show_after_create.feature`) - Robot Framework integration smoke tests with "not found" assertion (`robot/project_show_after_create.robot`) - ASV benchmarks for create-then-show round-trip (`benchmarks/project_show_after_create_bench.py`) ## Review feedback addressed - **F1**: Removed unrelated em-dash CHANGELOG edits — wrote clean entry from scratch - **F2**: Kept Suite Setup/Teardown (required for `${PYTHON}` variable); updated stale docs - **F3**: Added "not found" string assertion to Robot negative test case - **F4**: Removed redundant `Base.metadata.create_all()` from `_make_fresh_repo()` helper - Updated all stale TDD "expected to fail" comments — this PR includes the fix ## Process - Single squashed commit, rebased onto `master` (no merge commits) - Prescribed commit message from issue #590 metadata ISSUES CLOSED: #590 Reviewed-on: #593 Reviewed-by: Rui Hu <rui.hu@cleverthis.com> Co-authored-by: Brent E. Edwards <brent.edwards@cleverthis.com> Co-committed-by: Brent E. Edwards <brent.edwards@cleverthis.com> |
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26de6bb7de |
fix(project): persist project to database during creation (#591)
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## Summary
Fix `agents project create` not persisting projects to the database. `NamespacedProjectRepository.create()` called `session.flush()` but never `session.commit()`, so projects were invisible to subsequent `agents project list` invocations that open a separate session.
## Changes
**Production fix** (`src/cleveragents/infrastructure/database/repositories.py`):
- Replace `session.flush()` with `session.commit()` in `NamespacedProjectRepository.create()`
- Add `finally: session.close()` guard for proper session lifecycle
**Tests & benchmarks**:
- 4 Behave BDD regression scenarios (`features/project_create_persist.feature`)
- Robot Framework integration smoke tests (`robot/project_create_persist.robot`)
- ASV benchmarks for create-then-list round-trip (`benchmarks/project_create_persist_bench.py`)
## Review feedback addressed
- **H3**: Added `finally: session.close()` to `create()` method
- **M1**: Removed redundant `session.flush()` before `session.commit()`
- **M2**: Updated stale TDD "expected to fail" comments — this PR includes the fix
- **M4**: Rewrote CHANGELOG entry to describe the fix, not just tests
- **F1**: Updated Robot documentation (Suite Setup/Teardown kept — needed for `${PYTHON}`)
- **F2**: Fixed bare assertion `"my-app"` to `"local/my-app"` in namespace scenario
- **F3**: Removed redundant `Base.metadata.create_all()` from `_make_fresh_repo()`
## Process
- Single squashed commit, rebased onto `master` (no merge commits)
- Prescribed commit message from issue #589 metadata
ISSUES CLOSED: #589
Reviewed-on: #591
Reviewed-by: Rui Hu <rui.hu@cleverthis.com>
Co-authored-by: Brent E. Edwards <brent.edwards@cleverthis.com>
Co-committed-by: Brent E. Edwards <brent.edwards@cleverthis.com>
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583e6b7ea2
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feat(correcting-plans): implement Predictive Error Prevention (Layer 4) with Error Pattern Database
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Implement spec-mandated Layer 4 Predictive Error Prevention system: - ErrorPattern domain model with pattern text, historical failures, preventive checks, frequency tracking, and keyword-based matching. - ErrorPatternRepository with in-memory CRUD + context-matching query. - ErrorPatternService with record_failure(), match_patterns(), and get_statistics() methods. - Wire into plan execution via plan_lifecycle_service pre-execution hook. - Add error pattern statistics to CLI diagnostics output. Behave BDD: 11 scenarios covering recording, matching, formatting, stats. Robot Framework: 3 integration smoke tests. ASV benchmarks: pattern matching performance. ISSUES CLOSED: #571 |
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61fc70d84b |
fix(cli): pass decision tree and influence edges to CorrectionService in plan correct handler (#639)
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## Summary Fixes the `plan correct` CLI handler which never passes the decision tree or influence edges to `CorrectionService`, producing single-node impact analysis regardless of the plan's actual decision structure. Closes #606 ## Root Cause The `correct_decision()` handler in `plan.py` created a bare `CorrectionService()` and called `analyze_impact()` and `execute_correction()` without passing `decision_tree` or `influence_edges`. Both parameters default to `None` -> empty dicts, causing `_compute_affected_subtree()` BFS to return only the single target decision, ignoring all descendants and influence-DAG dependents. ## Changes ### Production Fix (`src/cleveragents/cli/commands/plan.py`) - Resolve `DecisionService` via `get_container()` (following the pattern used by `plan explain` and `plan tree`) - Build structural tree adjacency list from `decision_svc.list_decisions(plan_id)` using `parent_decision_id` relationships - Fetch influence edges from `decision_svc.get_influence_edges(plan_id)` - Pass both `decision_tree` and `influence_edges` to `svc.analyze_impact()` and `svc.execute_correction()` ### Existing Test Fixups - Updated 4 step definition files that mock `CorrectionService` to also mock the new `DecisionService` resolution path ### New Tests - **Behave BDD**: 3 scenarios verifying tree/edge forwarding (dry-run subtree, execution subtree, leaf node) - **Robot Framework**: 3 integration smoke tests - **ASV Benchmark**: Tree building and analyze_impact overhead benchmarks ## Quality Gates - `nox -s lint` — PASSED - `nox -s typecheck` — 0 errors - `nox -s unit_tests` — 9,109 scenarios, 0 failures - `nox -s coverage_report` — 97% ISSUES CLOSED: #606 Reviewed-on: #639 Co-authored-by: Jeffrey Phillips Freeman <jeffrey.freeman@cleverthis.com> Co-committed-by: Jeffrey Phillips Freeman <jeffrey.freeman@cleverthis.com> |
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a44082ab70 |
feat(guardrails): implement Plan Generation Pre-flight Guardrails (7 checks before execution)
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Implement spec-mandated pre-flight guardrail checks that validate plan readiness before entering the Strategize phase: 1. Action schema validation — verifies action exists and is well-formed. 2. Actor availability — confirms all 4 actor roles registered. 3. Skill/tool existence — transitively resolves all tools/skills. 4. Automation policy — verifies profile permits execution. 5. Rollback feasibility — ensures all tools checkpointable if required. 6. Resource accessibility — shallow connectivity check on linked resources. 7. Validation attachment resolution — pre-resolves all applicable validations. PlanPreflightGuardrail service runs all 7 checks via run_all_checks(). On first failure, raises PreflightRejection with check name and message. Wired into plan_lifecycle_service before Strategize phase. Behave BDD: 18 scenarios covering all 7 checks (positive + negative). Robot Framework: 3 integration smoke tests. ASV benchmarks: pre-flight check execution time. ISSUES CLOSED: #582 |
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7b1020e735 |
feat(security): implement Prompt Injection Mitigation (5 mechanisms)
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Implement spec-mandated prompt injection protections: 1. Input sanitization (PromptSanitizer.sanitize_user_input): escapes HTML entities, strips C0/C1 control characters, rejects 8 known injection patterns including instruction override, role assumption, ChatML tags, and boundary marker spoofing. 2. Prompt boundary markers (PromptSanitizer.wrap_user_content): wraps user content with [USER_CONTENT_START]/[USER_CONTENT_END] markers; augment_system_prompt() prepends boundary recognition instructions. 3. Output validation: existing schema_validator.py validates tool I/O against JSON Schema in ToolRuntime.execute() (verified, tested). 4. Tool capability restrictions: existing _enforce_capabilities() in lifecycle.py enforces read_only/writes/checkpointable/side_effects declarations (verified, tested). 5. Unsafe tool gating: existing _enforce_capabilities() blocks unsafe tools unless allow_unsafe_tools=true in automation profile (verified, tested). Integrates sanitizer into session prompt construction, invariant text processing, and action argument handling paths. ISSUES CLOSED: #572 |
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d3cc7d30d7 |
fix(tool): persist tool registration to database after add
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ToolRegistryRepository.create(), .update(), and .delete() called session.flush() but never session.commit(). The CLI factory creates a raw sessionmaker without a UnitOfWork wrapper, so the transaction was never committed and SQLAlchemy performed an implicit rollback when the session was garbage-collected. The same bug existed in ValidationAttachmentRepository.attach() and .detach(). Changes: - Add session.commit() after session.flush() in all five mutating methods across ToolRegistryRepository and ValidationAttachmentRepository. - Add finally: session.close() to guarantee session cleanup regardless of success or failure. - Update class docstrings to reflect the new commit-on-write semantics. - Add Behave BDD feature (tool_add_persist.feature) with scenarios for single-tool round-trip, multi-tool persistence, and duplicate rejection, using file-based SQLite to reproduce the cross-session issue. - Add Robot Framework integration test (tool_add_persist.robot) with add-then-list and fresh-list-empty scenarios. - Add ASV benchmark (tool_add_persist_bench.py) with track_list_after_add_count metric. Key decisions: - File-based SQLite (not in-memory) is used in tests because the bug only manifests when the session/engine is fully disposed between add and list, simulating separate CLI invocations. - Step patterns are prefixed with "tool-persist" to avoid AmbiguousStep collisions with existing tool_registry_steps.py. - The commit-in-repository approach was chosen over adding a UnitOfWork to the CLI factory because the CLI commands are simple CRUD operations that should auto-persist without requiring callers to remember to commit. ISSUES CLOSED: #621 |
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9704281bdd |
fix(skill): persist skill registration to database after add
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Wire SkillService to use SkillRepository for database persistence, fixing the bug where `agents skill add` stored skills only in an in-memory OrderedDict that was lost when the CLI process exited. Changes: - SkillService now accepts optional skill_repo and session_factory parameters. When provided, add_skill() persists to the database and the constructor pre-loads existing skills from DB rows. - _get_skill_service() in the CLI now creates a DB-backed service following the same engine/sessionmaker/repository pattern used by the tool CLI (tool.py). - _reset_skill_service() now installs a fresh in-memory SkillService (instead of setting None) to avoid DB side-effects during unit testing with parallel runners. - remove_skill() also persists the deletion to the database. Test coverage: - Behave BDD: features/skill_add_persist.feature (4 scenarios) - Robot Framework: robot/skill_add_persist.robot (3 smoke tests) - ASV benchmark: benchmarks/skill_add_persist_bench.py ISSUES CLOSED: #620 |
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f6d27de1cd
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feat(extensibility): implement pluggable scope chain resolution
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Introduce ComponentResolver with a deterministic 3-level scope chain (plan > project > global) for resolving pluggable Protocol-based components. The resolver supports caching, thread-safety, config.toml extension loading, plan metadata loading, introspection APIs, and security-restricted dynamic imports. Includes 39 BDD scenarios, 9 Robot Framework integration tests, ASV benchmarks, and vulture whitelist updates. 100% code coverage on component_resolver.py; overall coverage at 97.07%. ISSUES CLOSED: #552 |
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4221582368 |
feat(acms): implement pipeline Phase 3 components
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Implemented the remaining ACMS pipeline components and advanced context strategies: Pipeline Phase 3: - FragmentOrdererProtocol + RelevanceCoherenceOrderer: orders fragments by relevance while maintaining narrative coherence via UKO node prefix grouping. Groups related fragments together, sorts groups by max relevance, and within groups orders by relevance desc / depth asc. - PreambleGeneratorProtocol + ProvenancePreambleGenerator: generates provenance preamble with strategy contributions (fragment counts and token percentages), confidence indicators (avg/min/max), tier and depth distribution, UKO node coverage, and coverage gap detection. Advanced Strategies: - ArceStrategy (quality 0.95): adaptive recursive context expansion with iterative multi-backend refinement and configurable iteration limit (default 5) to prevent unbounded refinement. Uses composite scoring (relevance + depth + diversity) with contextual boosting for fragments related to the current top-ranked anchor set. - TemporalArchaeologyStrategy (quality 0.5): historical context retrieval from graph+cold backends. Prioritises cold-tier fragments using a temporal scoring model (tier bonus + relevance + depth). - PlanDecisionContextStrategy (quality 0.7): decision history retrieval from warm/cold backends. Prioritises warm then cold tier fragments for correction and retry scenarios. All strategies registered in strategy registry with correct quality scores and backend requirements. All components implement their respective Protocol interfaces and can be injected into the ContextAssemblyPipeline via constructor dependency injection. Tests: - 33 BDD scenarios in features/acms_pipeline_phase3.feature - Robot Framework integration tests in robot/acms_pipeline_phase3.robot - ASV performance benchmarks in benchmarks/acms_pipeline_phase3_bench.py ISSUES CLOSED: #545 |
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4e3bf7d3ad |
test(cli): add failing tests for agents init --yes missing option
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Add TDD-style Behave BDD tests for the missing agents init --yes flag (bug #522). Five Gherkin scenarios cover: exit code validation, prompt suppression, -y alias, output summary fields, and interactive-mode regression guard. Includes Robot Framework smoke tests (tagged @wip) and ASV benchmarks. Configure behave.ini to exclude @wip scenarios globally and noxfile.py to exclude wip-tagged Robot suites, so TDD-failing tests do not break CI. Review feedback addressed: - Remove unnecessary # type: ignore from benchmark (outside Pyright scope) - Fix Then...Then to Then...And in Gherkin (L1) - Fix CHANGELOG 'three scenarios' to 'five scenarios' (L2) - Add behave.ini documentation for @wip workaround (Aditya F1) - Rename Scenario 2 title to 'suppresses interactive prompts' (Aditya F2) Closes #536 |
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23803f14ec
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feat(lsp): add LSP server stub
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Added minimal LSP server entrypoint supporting initialize/shutdown/exit handshake over JSON-RPC stdin/stdout transport with Content-Length framing. Unsupported methods return MethodNotFound error with descriptive message. Wired LSP requests through ACP facade in local mode. Added agents lsp serve CLI command with --log-level flag, PID output, and startup banner. Created reference documentation for the stub server. Includes Behave BDD tests for protocol handshake, Robot smoke test, and ASV startup latency benchmark. ISSUES CLOSED: #203 |
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Merge branch 'master' into feature/m6plus-event-bus
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