4 Commits

Author	SHA1	Message	Date
CoreRasurae	3e13411fcf	fix(actors): distinguish namespace/name from provider/model in actor name parsing ... When action YAML references actors using namespace/name format (e.g. `strategy_actor: local/my-strategist`), `_parse_actor_name()` incorrectly treated the namespace prefix as a provider name, causing `ValueError: Unknown provider type: local`. Changes: - `_is_known_provider()`: New utility function (strategy_resolution.py) that checks whether a slash-separated first segment matches a known `ProviderType` value (openai, anthropic, etc.). Consolidated into a single implementation; llm_actors.py now imports from strategy_resolution.py. - `_parse_actor_name()`: When the first segment IS a known provider, preserves existing behaviour (provider/model). When it is NOT a known provider, treats the input as namespace/name and returns the full name as the model identifier with the default provider. Callers SHOULD pre-resolve namespace/name references via the actor registry before calling this function. Both implementations (strategy_resolution.py and llm_actors.py) updated; ProviderType import moved to top level. - `PlanLifecycleService.resolve_actor_provider_model()`: New method that resolves a namespaced actor name (e.g. local/my-strategist) to provider/model format by looking up the actor record and extracting its provider and model fields. - `LifecycleService` Protocol (strategy_resolution.py): Added `resolve_actor_provider_model` to the protocol, eliminating the need for `# type: ignore[union-attr]` at call sites. - `PlanLifecycleProtocol` (llm_actors.py): Added `resolve_actor_provider_model` to the protocol. - Caller pre-resolution: StrategyActor, LLMStrategizeActor, LLMExecuteActor, SessionWorkflow._resolve_llm(), and CLI session commands now pre-resolve actor names through the lifecycle service or via injected actor_resolver callables before calling `_parse_actor_name()`, ensuring namespace/name references are correctly mapped to their underlying LLM providers. - `_build_actor_resolver()` (cli/commands/session.py) and `_build_actor_resolver_for_session_workflow()` (a2a/facade.py): Moved `_is_known_provider` imports to top level; removed redundant `except (NotFoundError, Exception)`; added warning logging for outer exception handlers. - `make_mock_lifecycle()` (mock_strategy_llm.py) and `_make_mock_lifecycle()` (llm_actors_coverage_steps.py): Added `resolve_actor_provider_model` to mock lifecycle services for test compatibility. - Added `@tdd_issue @tdd_issue_11254` tags to all new BDD scenarios related to namespace/name disambiguation in llm_actors_coverage, strategy_actor_llm, and plan_lifecycle_service_coverage_boost_r4 feature files. - Updated docs/CHANGELOG.md with the fix entry. ISSUES CLOSED: #11254	2026-05-22 20:42:25 +01:00
brent.edwards	eb46f0ff54	fix(plan): add tier hydration and improve architecture review output (#10938) ... ## Summary This PR fixes issue #10878 where architecture reviews were truncated because the regex pattern for parsing file output would stop at the first ``` encountered in the Markdown report. ## Changes - Change file delimiters from ``` to >>>>>>>/<<<<<<< to avoid Markdown conflicts - Add tier hydration before strategize phase in plan_executor.py - Increase max_tokens to 16384 in llm_actors.py for longer outputs - Increase context_max_tokens_hot from 16000 to 32000 in settings.py - Fix get_hot_view → get_hot_fragments in strategy_actor.py and plan_executor.py - Add opencode to skip directories in context_tier_hydrator.py - Change sandbox output location to plan-output/ directory in plan.py - Add get_context_summary stub method to acms_service.py ## Testing Run architecture review action and verify the output report is complete with all sections. Reviewed-on: #10938	2026-05-19 12:43:34 +00:00
aditya	f0442e835d	feat(acms): plan execution leverages ACMS context for LLM calls ... Integrate ACMS execute-phase context assembly into LLMExecuteActor and inject assembled context into execute prompts with resilient fallback when assembly fails or returns empty output. Wire the plan CLI executor to use an ACMS-backed execute context assembler, add Behave coverage for context injection/fallback/empty context, and extend Robot M5 verification helpers to assert execute-phase ACMS context usage. ISSUES CLOSED: #850	2026-03-30 09:21:51 +00:00
freemo	051ee7c290	test(coverage): add Behave BDD tests to improve coverage across 52 source files ... Added 52 new .feature files and corresponding _steps.py files targeting previously uncovered code paths in the following areas: - TUI layer: app, commands, persona (state/schema/registry), widgets, input (shell_exec, reference_parser) - Application services: plan lifecycle/service/executor, session, project, repo indexing, correction, checkpoint, actor, llm_actors, strategy coordinator, resource file watcher, service retry wiring - CLI commands: session, resource, repl, plan, db, automation_profile - Domain models: retry_policy, resource_type, cost_budget, docker_compose_analyzer, detail_level, _sql_string_aware, _postgresql_helpers - Core: circuit_breaker, retry_service_patterns - Infrastructure: repositories, transaction_sandbox, strategy_registry, plugins/loader, container - Config: settings - Agents: plan_generation, context_analysis, auto_debug - A2A: facade All new tests follow the Behave/Gherkin BDD standard. Resolved step definition collisions with unique prefixes. Fixed Alembic fileConfig logger disabling issue (disable_existing_loggers=False). ISSUES CLOSED: #1068	2026-03-20 21:22:10 +00:00