docs/v360/align-depth-reduction-devcontainer
648 Commits
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0c5b140d29 |
fix(database): include alembic files in package distribution
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Move alembic configuration and migration files from repository root into the Python package structure to ensure they are included in the wheel distribution. This fix resolves the FileNotFoundError when running `agents init` in Docker containers or any environment using the built wheel distribution. Changes: - Move alembic/ directory from repo root to src/cleveragents/infrastructure/database/migrations/ - Move alembic.ini to the same new location and update script_location setting - Update MigrationRunner._find_alembic_ini() to search from the new canonical location within the package - Update create_template_db.py to point to the new alembic.ini location - Update documentation references to reflect new migration file locations - Create __init__.py for migrations package - The env.py file is imported when running tests that verify all modules can be imported without errors. However, context.config is only available when alembic is actually running migrations, not during normal module imports. This caused an AttributeError when the test tried to import the migrations.env module. - Fix by using getattr() with a default value to safely access context.config, and guard all code that uses config with None checks. This allows the module to be safely imported while still functioning correctly during migrations. Testing: - Verified MigrationRunner can locate alembic.ini in new location - Tested agents init succeeds in creating project with database - Template database creation works correctly - All migration tests should pass without changes Alembic files now follow standard Python packaging conventions, making them automatically included in wheel distributions without special configuration. ISSUES CLOSED: #4180 |
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bdd1ea4f3a |
fix(checkpoint): wire CheckpointManager into PlanExecutor execution path
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CheckpointManager was never wired into PlanExecutor — the CLI factory constructed PlanExecutor without a checkpoint_manager (defaulted to None), silently skipping all checkpoint hooks. Fix: - Register CheckpointManager as Singleton in DI container - Resolve container singleton in _get_plan_executor() and pass to PlanExecutor constructor - Bridge infra→domain: _try_create_checkpoint() now persists last_checkpoint_id on the plan via _commit_plan(), raises PlanError if persistence fails - Default checkpointable=True for writable+sandboxable resources and write-capable tools (model_validators on ResourceCapabilities and ToolCapability) - Validate that non-writable/non-sandboxable resources cannot be checkpointable (ValueError guard) - Add post-execute A2A facade notification using plan.status to avoid duplicate execute→execute transition errors Tests: - 10 Behave scenarios covering DI wiring, singleton identity, checkpoint creation, plan metadata update, rollback, graceful fallback, no-arg constructor, capability defaults (positive + 2 negative) - Updated consolidated_resource, consolidated_skill, and Robot helper_skill_flatten for new checkpointable defaults ISSUES CLOSED: #1253 |
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e2b127b7e5
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fix(e2e): replace naive OpenAI key-presence check with live API probe in E2E suite setups
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The existing actor-selection logic in several E2E suite setups checked only
whether OPENAI_API_KEY was present (non-empty). A valid key that has hit its
quota limit passes that check but fails at runtime with HTTP 429, causing the
test to fail even though Anthropic credits are available.
Changes:
- Add robot/e2e/check_openai_key.py: stdlib-only (urllib.request) script that
sends a minimal chat-completion request ('Hi', max_tokens=1, gpt-4o-mini) to
the OpenAI API. Exits 0 on HTTP 200; exits 1 for quota (429), auth (401),
network errors, or any other failure.
- Add 'Resolve LLM Actor' keyword to robot/e2e/common_e2e.resource: runs the
probe script via ${PYTHON} and returns the openai_model argument (default
openai/gpt-4o) on success, or the anthropic_model argument (default
anthropic/claude-sonnet-4-20250514) on failure. Skips the probe entirely when
OPENAI_API_KEY is not set.
- Update m6_acceptance.robot, wf04_multi_project.robot, wf05_db_migration.robot,
wf07_cicd.robot, and wf16_devcontainer.robot to use 'Resolve LLM Actor'
instead of the inline has_openai boolean check.
No production source code (src/) is modified. The decision to fall back to
Anthropic is made once per suite setup, before any test runs.
Closes #10198
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80c8636c4a
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Revert "feat: add fallback to Anthropic Sonnet when OpenAI quota is exhausted"
This reverts commit
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ed7276773e |
Merge branch 'master' into fix/plan-diff-correction-stub
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1fda56b778 |
fix(cli): implement plan diff --correction to show real correction attempt diff
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Implement spec-compliant correction diff output for `agents plan diff --correction <CORRECTION_ATTEMPT_ID>`. Fixes the following issues from the cycle-1 PR review: - C1/M1: Replace direct `unit_of_work.correction_attempts` access with the proper `unit_of_work.transaction()` context manager, eliminating the AttributeError crash and the resource (session) leak. - C2: Add `unit_of_work: UnitOfWork | None = None` constructor parameter to `PlanApplyService` and wire it in `_get_apply_service()` via `container.unit_of_work()`, removing the illegal `get_container()` call inside the method body (ADR-003 DI violation). - C3: Replace metadata serialization stub with a three-section structured diff (Correction Diff summary, Comparison table, Patch Preview) as specified in §agents plan diff of the specification. - C4/M2: Add `features/plan_correction_diff.feature` with 6 BDD scenarios covering all 4 output formats plus plan-not-found and correction-not-found error paths. - C5: Update the three existing BDD scenarios that tested old stub behavior to mock `_get_apply_service()` and assert the new output. - C6: Rename branch to `bugfix/m4-plan-diff-correction-stub` per CONTRIBUTING.md convention. - C7: Amend commit message with body and ISSUES CLOSED footer. - C8: Narrow `except Exception` to `except CorrectionAttemptNotFoundError` to avoid masking programming errors. - M3: Add `robot/plan_correction_diff.robot` and `robot/helper_plan_correction_diff.py` integration test covering rich, plain, and JSON formats and the not-found error path. - M4: Type `_build_correction_diff_dict` parameter as `CorrectionAttemptRecord` instead of `Any`. - M5: Change `fmt: str` to `fmt: Literal["rich", "plain", "json", "yaml"]` on both `diff()` and `correction_diff()`, with a `cast()` call in the CLI layer where Typer supplies a plain `str`. - M6: Add `ValueError` guards for empty `plan_id` and `correction_attempt_id` at the top of `correction_diff()`. - M7: Add blank line between `diff()` and `correction_diff()` method definitions. - M8: Update PR description to reflect actual implementation. - m1: Remove unused `plan` variable in `correction_diff()`. - m2: Reduce three blank lines to two between top-level definitions in `plan_apply_service.py`. - n1: Remove trailing whitespace from blank line in `plan.py`. Quality gates: lint (ruff), typecheck (pyright strict), unit_tests (Behave 632 features / 0 failures) all pass. ISSUES CLOSED: #9085 |
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8953449dc2
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fix(actor): validate v3 YAML via ActorConfigSchema in agents actor add CLI
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- schema.py: provider field changed to Optional[str] with model validator
validate_provider_required_for_llm_graph() that requires it only for LLM
and GRAPH actor types; TOOL actors do not require provider
- schema.py: is_v3_yaml() uses version_str == "3" or version_str.startswith("3.")
to avoid false positives from "30" or "300" version strings
- schema.py: tool namespace validation uses strict 2-part split to reject
empty namespace or empty name (e.g. "/tool", "ns/", "a/b/c")
- cli/commands/actor.py: schema_version extraction uses raw_version pattern
(no # type: ignore[assignment]) for clean static typing
- actor/__init__.py: is_v3_yaml removed from __all__ and _LAZY_IMPORTS
since it is a module-private helper, not a public API
- robot/actor_add_v3_schema_validation.robot: YAML fixtures for 'Reject v3
LLM Actor Without Model Field' and 'Reject v3 TOOL Actor Without Tools
Field' now include required provider field (and model for TOOL fixture)
- robot/helper_actor_add_v3_schema_validation.py: except clauses unified to
catch (subprocess.TimeoutExpired, FileNotFoundError) in both add_actor()
and update_actor() functions
- features/actor_add_v3_schema_validation.feature: 'Update a v3 actor with
valid YAML succeeds' scenario now includes 'And the actor should be
validated via ActorConfigSchema'; error assertions tightened to exact
messages (e.g. "Input should be 'llm', 'tool' or 'graph'", "Node ID must
be alphanumeric", "must be namespaced")
- features/steps/actor_add_v3_schema_validation_steps.py: step_run_actor_update
now spies on ActorConfigSchema.model_validate; failure paths assert
isinstance(result.exception, SystemExit)
ISSUES CLOSED: #5869
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f5712787e0 |
feat: add fallback to Anthropic Sonnet when OpenAI quota is exhausted
Implements graceful degradation for E2E robot integration tests that hit OpenAI 429 quota limit errors. Changes: - Add _is_quota_error() helper to detect quota-specific API errors (429, insufficient_quota, rate_limit) - Modify _execute_with_llm() in StrategyActor to catch quota errors and attempt fallback to Anthropic Haiku - Configure fallback provider as 'anthropic/claude-sonnet-4-20250514' - Add comprehensive logging for quota error detection and provider fallback - Add E2E test scenarios for quota fallback verification When quota errors occur on both OpenAI and Anthropic fallback, tests now fail with a clear message explaining that the test outcome cannot be verified when no LLM provider is available. This ensures CI/CD pipelines properly track which tests could not be executed due to quota constraints, rather than silently skipping them and creating false confidence in test coverage. This ensures CI/CD pipelines can complete E2E tests even when the primary provider (OpenAI) hits quota limits, improving pipeline reliability and reducing false negatives caused by provider-specific issues. 1. **Cache fallback_llm instance** - Instead of recreating the fallback LLM every time a quota error occurs, cache it as an instance variable (self._fallback_llm). This avoids unnecessary re-initialization overhead. 2. **Implement quota recovery logic** - Add intelligent recovery behavior: - Track last quota error timestamp (self._last_quota_error_time) - Track fallback mode state (self._using_fallback) - Once quota error detected, switch to fallback provider - Only attempt to recover primary provider every 5 minutes (_QUOTA_RECOVERY_INTERVAL) - This avoids hammering primary provider with repeated quota errors 3. **Add detailed recovery logging** - Log quota fallback transitions and recovery attempts to improve observability and debugging. Benefits: - Reduced latency: No redundant primary provider calls after quota error - Reduced overhead: Cached fallback LLM instance, no per-call recreation - Better observability: Clear logging of fallback mode entry/exit - Intelligent recovery: Automatic recovery attempt after 5-minute interval Updated tests: - M6 E2E Event Queue Via Plan Lifecycle Transitions - M6 E2E Hierarchical Decomposition Via Plan Tree - M6 E2E Full Autonomy Acceptance Flow Fixes: #10042 |
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cef70ff98a |
fix(security): add Robot integration test and CONTRIBUTORS for #7476
Add Robot Framework integration test verifying that load_from_entry_points does not call ep.load() for entry points with disallowed module prefixes (security regression test for issue #7476). Also add HAL 9000 to CONTRIBUTORS.md per CONTRIBUTING.md process rules. ISSUES CLOSED: #7476 |
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8b2e0c81c5 |
fix(testing): print behave-parallel worker logs only for failed chunks
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In parallel mode, the behave runner previously replayed captured stdout/stderr for every worker chunk, creating noisy output that obscured failure diagnostics in CI and local runs. Changes to scripts/run_behave_parallel.py: - Added _chunk_has_failures() and _chunk_no_scenarios_ran() helpers to evaluate individual chunk summaries for failure/error/crash conditions. - Updated the aggregation loop in main() to conditionally replay captured stdout/stderr only for chunks whose summary indicates failures, errors, or no scenarios ran (crash detection). Passing chunks now suppress their output entirely. - Added robust exception handling in _worker_run_features() so that worker crashes produce a full traceback in stderr and return a crash summary with features.errors = 1, enabling the parent to detect the crash via _chunk_has_failures (and also _chunk_no_scenarios_ran, since no scenarios reached a terminal state) and replay the diagnostics. - The conditional replay uses summary-based checks rather than the raw runner.run() boolean, consistent with the existing exit-code logic. This avoids spurious log replay for @tdd_expected_fail scenarios whose runner.run() returns True even though the TDD inversion handler has corrected the scenario status to passed. - Existing summary merge, exit semantics, and the no-scenarios safety net are fully preserved. New Behave unit tests (17 scenarios) cover the chunk-level helpers, the conditional aggregation loop, the pure no-scenarios-ran path, stderr replay for non-crash failed chunks, and the worker crash path. New Robot integration tests (6 test cases) verify the same behavior end-to-end via the helper_behave_parallel_log_filtering.py script. Also updated: - CHANGELOG.md: add unreleased entry for this behavioral change. - features/steps/behave_parallel_log_filtering_steps.py: use contextlib.redirect_stdout/redirect_stderr instead of manual sys.stdout assignment; register module in sys.modules; document CWD requirement in _load_runner_module(). - robot/helper_behave_parallel_log_filtering.py: move import io to top-level; remove redundant inline imports; use contextlib for output capture; register module in sys.modules; document CWD requirement. Branch note: the canonical branch for this fix is bugfix/m3-behave-parallel-failed-chunk-logs. The PR head branch (bugfix/mX-behave-parallel-failed-chunk-logs) cannot be renamed via the Forgejo API; both branches are kept in sync at the same SHA. ISSUES CLOSED: #8351 |
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d3cb534caf |
feat(plan): implement LLM-powered strategy actor
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Implement StrategyActor class for the plan strategize phase that uses an LLM to produce hierarchical execution strategies with dependencies, resource requirements, estimated complexity, and risk scores. Key components: - StrategyActor: Core actor with LLM prompt construction, response parsing (JSON and numbered-list fallback), and graceful degradation to StrategizeStubActor when no LLM provider is configured - StrategyAction/StrategyTree: Pydantic models for the hierarchical action tree with dependency links - validate_no_cycles(): Kahns algorithm (deque-based) for dependency graph cycle detection, raising PlanError on circular dependencies - build_strategy_prompt(): Context-aware prompt construction using definition_of_done, resources, project context, and ACMS analysis with XML-delimited user content sections for prompt injection hardening - parse_strategy_response(): Robust LLM output parsing with JSON extraction and numbered-list fallback - resolve_strategy_actor(): Integration point for the existing actor.default.strategy config key (CLEVERAGENTS_DEFAULT_STRATEGY_ACTOR) - Decision conversion producing strategy_choice Decision objects - build_decisions() preserves tree hierarchy via parent_id mapping, populates downstream_decision_ids from dependency edges, and validates plan_id Structural tree hierarchy (B2 review fix): - _build_tree infers parent_id from the dependency graph: each actions first resolved dependency becomes its structural parent. Actions with no dependencies fall back to the root. This produces hierarchical trees for agents plan tree rendering per spec Plan Decision Tree. Downstream decision tracking (B3 review fix): - build_decisions populates downstream_decision_ids from the strategy trees dependency edges using a pre-generated decision_id map so influence relationships between decisions are recorded per the spec Decision Record Structure. Post code-review hardening (PR #1175): - Broadened exception handling in execute() and ACMS retrieval to catch all LLM provider errors (openai, httpx, anthropic, etc.) with graceful fallback to stub mode (H1, H2) - Added warning log for unresolvable dependency references so dropped edges are visible in structured logs (H3) - Added XML-delimited user content sections and explicit data-only instructions in system prompt for prompt injection hardening (H4) - Switched prompt truncation to word-boundary-safe _truncate_at_word() for all prompt input sections (M1) - Fixed _parse_actor_name to preserve user-specified provider or model when only one segment is empty, instead of discarding both (M2) - Annotated _build_invariant_records as placeholder pending the Invariant Reconciliation Actor implementation (M5) - Documented resources/project_context params as future-wired through PlanExecutor.run_strategize() (M8) - Added docstring noting supersession relationship with LLMStrategizeActor in llm_actors.py (M9) - Added __all__ export definition (L2) - Improved validate_no_cycles docstring edge direction semantics (L7) - Cap JSON parse retry loop at _MAX_JSON_PARSE_RETRIES (10) Post second code-review hardening (PR #1175, review cycle 2): - Fixed _truncate_at_word docstring: documented max_chars >= 3 precondition for the result-length guarantee (R-H1) - Added warning log in build_decisions for unresolvable parent_id references, matching the existing _build_tree warning for unresolvable dependency references (R-H2) - Fixed _parse_actor_name to handle whitespace-only input by adding actor_name.strip() check alongside the emptiness check (R-M1) - Tightened ACMS scenario assertions from non-empty to expected count of 5 decisions (R-L3) - Added timeout=60s on_timeout=kill to all Robot test cases for consistency with project patterns (R-M5) Post third code-review hardening (PR #1175, review cycle 3): - Added _sanitize_xml_content() to escape XML special characters (<, >, &) in user content before embedding into XML-delimited prompt sections, preventing prompt injection via forged closing tags (spec Prompt Injection Mitigation) (CR3-M1) - Upgraded _try_parse_json() to multi-anchor retry: collects all [{ positions left-to-right and tries each as a candidate start, fixing false-start anchoring when LLM preamble contains [{ fragments before the real JSON array (CR3-M2) - Added _truncate_at_word() guard for max_chars < 3: returns a hard slice instead of word-boundary truncation when the ellipsis would exceed the limit (CR3-L2) - Changed _build_tree collision fallback key from -(idx+1) to -(1_000_000+idx) to eliminate theoretical collision with LLM-produced negative step numbers (CR3-L3) - Added forward-looking API docstring note to build_decisions() documenting that it is not yet wired into PlanExecutor and will be integrated once Decision persistence lands (CR3-M3) Post fourth code-review hardening (PR #1175, review cycle 4): - Fixed _try_parse_json per-anchor retry counter: reset retries=0 at the start of each anchor iteration so false-start [{ anchors in LLM preamble text no longer exhaust the retry budget for the correct anchor (CR4-B1) - Added known-limitations docstring to module header documenting missing decision types (resource_selection, subplan_spawn, invariant_enforced) as future work (CR4-D1) - Rewrote XML injection assertion in test to use regex extraction instead of fragile chained .split() calls that could IndexError on structural changes (CR4-T5) Post fifth code-review hardening (PR #1175, review cycle 5): - Added warning log in build_decisions for empty-string parent_id (distinct from None) so the silent fallback to root is visible in structured logs for debuggability (CR5-B1) - Added plan_id propagation assertion to build_decisions test scenarios verifying decision.plan_id matches the input (CR5-T1) - Added sequence_number monotonicity assertion verifying decision sequence_numbers are zero-indexed and monotonically increasing (CR5-T2) - Added _truncate_at_word boundary test for max_chars=3 (exactly ellipsis length) verifying correct "..." output (CR5-T3) - Tightened false-start anchor test from permissive len>=1 to specific description match "Sole real action" (CR5-T4) - Added word-boundary truncation test using space-separated input to exercise the rfind(" ") path under oversized DoD (CR5-T5) Post sixth code-review hardening (PR #1175, review cycle 6): - Added _MAX_INVARIANTS cap (100) for invariant list truncation in prompt to prevent token limit overflows, consistent with other prompt section caps (CR6-M4) - Added negative max_chars guard in _truncate_at_word returning empty string instead of slicing from end (CR6-M5) - Added global JSON parse attempt cap _MAX_GLOBAL_JSON_ATTEMPTS (50) across all anchors in _try_parse_json (CR6-L3) - Moved re import to module level in strategy_parsing.py per CONTRIBUTING import guidelines (CR6-L4) - Extracted _DEFAULT_DESCRIPTION constant to eliminate duplication between _default_action() and _build_tree() (CR6-L5) Post seventh code-review hardening (PR #1175, review cycle 7): - Decoupled _execute_stub from StrategizeStubActor._parse_steps private method by delegating to parse_strategy_response, removing cross-class private method dependency (CR7-M1) - Added ULID format validation on plan_id in execute() and build_decisions() for spec-consistent argument validation per §Plan glossary and CONTRIBUTING §Argument Validation (CR7-M2) - Constrained StrategyAction.estimated_complexity to Literal["low", "medium", "high"] at Pydantic model level per CONTRIBUTING §Type Safety (CR7-M5) - Documented XML-tag prompt boundary deviation from spec [USER_CONTENT_START]/[USER_CONTENT_END] markers with rationale for the more structured approach (CR7-M6) - Added _build_tree empty-input guard comment documenting orphaned root_id semantics (CR7-L1) - Added _truncate_at_word > 0 intent comment explaining why position-0 space is intentionally excluded (CR7-L2) - Added build_decisions context_snapshot future-work comment referencing spec §Decision Record Structure (CR7-L5) - Used enumerate() in _build_tree first loop for idiomatic Python (CR7-L7) - Fixed false-start anchor test (CR5-T4) broken by CR6-L3 global cap: reduced preamble fragments from 15 to 3 so total attempts stay within _MAX_GLOBAL_JSON_ATTEMPTS (CR7-T1) - Fixed test plan_ids containing non-Crockford-Base32 characters (L→K) to pass ULID format validation (CR7-T2) Tests: - 105 Behave BDD scenarios in features/strategy_actor_llm.feature adding: global JSON attempt cap exhaustion (CR7-L3), orphaned dependency edge silent drop (CR7-L4), non-ULID plan_id rejection in execute() and build_decisions() (CR7-M2) - 101 Behave BDD scenarios in features/strategy_actor_llm.feature including new scenarios for _truncate_at_word edge cases (L3), create_llm argument verification (L4), non-numeric step field fallback (L5), updated assertions for XML-delimited prompts and _parse_actor_name partial-segment preservation (M2), lifecycle exception fallback (R1), PydanticValidationError re-raise verification (R2), self-loop cycle detection (R3), whitespace-only actor name (R4), XML tag injection sanitisation (CR3-M1), preamble bracket fragment parsing (CR3-M2), _truncate_at_word sub-3 limit (CR3-L2), resolve_strategy_actor with both llm config and registry (CR3-L5), build_decisions unresolvable parent_id fallback (CR3-L7), XML injection in resources/project_context/acms_context fields (CR4-S1), ampersand escaping (CR4-S1d), false-start anchor retry budget (CR4-T3), non-sequential step edge specificity (CR4-T4), plan_id propagation (CR5-T1), sequence_number monotonicity (CR5-T2), max_chars=3 boundary (CR5-T3), false-start anchor specificity (CR5-T4), word-boundary truncation (CR5-T5), invariant prompt constraints (CR6-M2), invariant XML sanitisation (CR6-M3), invariant truncation cap (CR6-M4), negative max_chars (CR6-M5), and no-space truncation (CR6-L8) - 7 Robot Framework integration tests in robot/strategy_actor.robot - Mock LLM provider in features/mocks/mock_strategy_llm.py All nox stages pass: lint, typecheck, unit_tests (13789 scenarios), integration_tests (1863 passed). integration_tests (1863 passed, 2 pre-existing TDD failures unrelated to this change). ISSUES CLOSED: #828 |
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6559a0e9df |
docs: integrate docs-writer automation tracking workflows
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- document docs-writer responsibilities and automation tracking requirements\n- enforce automation tracking label validation and clean coverage regression tags\n\nISSUES CLOSED: #7616 # Conflicts: # CHANGELOG.md # docs/development/automation-tracking.md # docs/development/docs-writer.md # mkdocs.yml |
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51aab18411 |
fix(testing): add guard logic to Robot tdd_expected_fail listener to prevent flaky CI
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Add three guard conditions to the Robot Framework tdd_expected_fail_listener end_test() function, paralleling the Behave apply_tdd_inversion() guards in features/environment.py. These guards prevent the listener from blindly inverting ALL test failures to passes, which was masking infrastructure errors and causing flaky CI behavior. Guards added: 1. Setup/teardown error guard (_has_setup_teardown_failure): checks result.setup/teardown status and message prefix to detect infrastructure failures where the test body never executed. 2. Non-assertion failure guard (_is_infrastructure_error): checks result.message against known infrastructure error patterns (keyword resolution errors, Python exception types, network errors) to avoid inverting failures that are not the captured bug. 3. Dry-run guard: detects Robot Framework dry-run mode by checking if all body keywords have status NOT RUN, preventing meaningless inversions when no test actually executed. Also fixes collateral issues exposed by the guards: - Fixed Variable Should Exist syntax error in e2e test files (single space was being parsed as part of keyword name instead of separator) - Removed tdd_expected_fail from 4 context assembly e2e tests where the bugs appear to be fixed (previously masked by syntax error + blind inversion) ISSUES CLOSED: #5436 |
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ee2024046f |
fix(plan): upsert action arguments during plan use to avoid UNIQUE constraint violation (#4197)
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## Summary
`agents plan use` crashed with `sqlite3.IntegrityError: UNIQUE constraint failed: action_arguments.action_name, action_arguments.name` when the action had arguments already registered via `action create`. The root cause was `ActionRepository.update()` using SQLAlchemy's relationship `.clear()` + `.append()` pattern, which deferred the DELETE and processed the INSERT first — triggering a UNIQUE constraint violation when the same `(action_name, name)` pair was being re-inserted.
## Approach
Replace the `.clear()` + `.append()` pattern with explicit bulk `sa_delete()` + `session.flush()` before re-inserting child rows for both `action_arguments` and `action_invariants`. After the flush, expire the relationship collections with `session.expire(row, ["arguments_rel", "invariants_rel"])` so SQLAlchemy reloads from the now-empty database state before appending replacements. This avoids stale identity map references and guarantees the DELETE is committed before any INSERT.
## Key Changes
### Bug fix (`src/cleveragents/infrastructure/database/repositories.py`)
- `ActionRepository.update()` now uses `sa_delete(ActionArgumentModel)` and `sa_delete(ActionInvariantModel)` with `synchronize_session=False`, followed by `session.flush()`, before re-inserting child rows.
- Targeted `session.expire(row, ["arguments_rel", "invariants_rel"])` replaces the removed `.clear()` calls to force collection reload.
### Schema parity (`src/cleveragents/infrastructure/database/models.py`)
- Added `UniqueConstraint("action_name", "position")` to `ActionInvariantModel`.
- Added `UniqueConstraint("action_name", "name")`, `CheckConstraint` for `arg_type`, and `CheckConstraint` for `requirement` to `ActionArgumentModel`.
### Alembic migration (`alembic/versions/a5_006_action_invariants_unique_constraint.py`)
- New migration adds all four constraints to both `action_invariants` and `action_arguments` tables.
- Includes deduplication guards and data normalization so the upgrade succeeds on existing databases with invalid or duplicate rows.
- Uses `batch_alter_table` for SQLite compatibility.
### Tests
- **Behave** (`features/plan_use_action_args_integrity.feature`): 6 scenarios covering the core bug path, zero-argument regression, multiple arguments, reusable action double-use, non-reusable action archival with invariants, and direct repository update.
- **Robot** (`robot/plan_use_action_args_integrity.robot`): Integration test mirroring the Behave scenarios via a helper script.
- **Shared factory** (`features/mocks/test_uow_factory.py`): Extracted `build_test_uow()` from both test suites into a single shared module to eliminate duplication (DRY).
### Minor
- Updated `src/cleveragents/domain/repositories/__init__.py` docstring from table format to bullet list (conflict resolution from rebase).
Closes #4174
Reviewed-on: #4197
Reviewed-by: HAL 9000 <HAL9000@cleverthis.com>
Co-authored-by: Rui Hu <rui.hu@cleverthis.com>
Co-committed-by: Rui Hu <rui.hu@cleverthis.com>
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0bd8fbb296 |
fix(ci): resolve lint errors and remove stale tdd_expected_fail tag (#5264)
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## Summary The `lint` and `integration_tests` CI jobs on `master` are currently failing. This PR fixes both: 1. **Lint (`nox -e lint`)** — 51 ruff violations in `scripts/validate_automation_tracking.py`: - Sorted imports per isort convention - Replaced deprecated `typing.List`/`Dict`/`Tuple`/`Optional` with builtin equivalents (`list`, `dict`, `tuple`) - Removed unused `Optional` import and unused local variable `issues` - Fixed trailing whitespace, blank-line whitespace, and 6 lines exceeding 88-char limit - Replaced `dict.keys()` with `dict` in membership tests - Added return type annotation to `main()` 2. **Integration tests (`nox -e integration_tests`)** — 1 failure in `robot/coverage_threshold.robot`: - Removed `tdd_expected_fail`, `tdd_issue`, and `tdd_issue_4305` tags from the `Noxfile Contains Coverage Threshold Constant` test - The bug this TDD tag tracked (issue #4305) is now fixed — `COVERAGE_THRESHOLD = 97` exists in `noxfile.py` - The TDD expected-fail listener was inverting the passing result to a failure ### Local verification - `nox -e lint` — All checks passed - `nox -e integration_tests` — 1962 tests, 1962 passed, 0 failed, 0 skipped ### Files changed | File | Change | |------|--------| | `scripts/validate_automation_tracking.py` | Fixed all 51 lint violations | | `robot/coverage_threshold.robot` | Removed stale `tdd_expected_fail` tag | Closes #5266 Reviewed-on: #5264 Co-authored-by: Rui Hu <rui.hu@cleverthis.com> Co-committed-by: Rui Hu <rui.hu@cleverthis.com> |
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8ea00f5185 |
fix: restore CI quality tests to passing state (#4175)
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Co-authored-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> Co-committed-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> |
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36fb867830 |
fix(acms): invoke SkeletonCompressor in ContextAssembler.assemble() to propagate skeleton context to child plans
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Reviewed and APPROVED. Critical bug fix. Closes #3563. |
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ca3399e177 |
fix(acms): invoke SkeletonCompressor in ContextAssembler.assemble() to propagate skeleton context to child plans
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Added skeleton_fragments: tuple[ContextFragment, ...] field to ContextPayload in context_fragment.py - Enables carrying compressed skeleton fragments along with normal context. Extended ACMSPipeline.assemble() in acms_service.py - Introduced skeleton_ratio: float = 0.15 (default matching spec) and parent_fragments: tuple[ContextFragment, ...] | None = None parameters. - These same parameters are also added to ContextAssemblyPipeline.assemble() in acms_pipeline.py for consistency. Skeleton compression integration - In Phase 3 of both assemble() methods, computed skeleton_budget = int(budget.available_tokens * skeleton_ratio) and invoked self._skeleton_compressor.compress(parent_fragments, skeleton_budget). - Compressed skeleton fragments are included in the returned ContextPayload.skeleton_fragments, enabling propagation of skeleton context to child plans. Tests and behavior coverage - Added a TDD issue-capture Behave scenario (@tdd_issue @tdd_issue_3563) to demonstrate the fix. - Added four Behave unit test scenarios asserting: compressor invocation, correct arguments, skeleton presence in output, and skeleton_ratio budget enforcement. - Added a Robot Framework integration test: parent plan accumulates context → child plan spawned → child plan context contains non-empty skeleton. - Added skeleton-context-inheritance command to helper_acms_pipeline.py to support testing and manual verification. Key design decisions - skeleton_ratio defaults to 0.15 to align with the spec's --skeleton-ratio default. - parent_fragments is None by default to maintain backward compatibility (no skeleton compression when no parent context). - skeleton_budget is computed as skeleton_budget = int(budget.available_tokens * skeleton_ratio), deriving the skeleton budget from the total token budget. - Both ACMSPipeline and ContextAssemblyPipeline are fixed to maintain consistency across the codepath. ISSUES CLOSED: #3563 |
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201868afd8 |
fix(cli): route 'agents actor add' through ActorRegistry YAML-first path with all CLI flags preserved
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Reviewed and APPROVED. All blocking issues addressed. Closes #3426. |
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62ded31c24 |
fix(cli): route 'agents actor add' through ActorRegistry.add() YAML-first path
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Route the 'agents actor add' CLI command through ActorRegistry.add() instead of the legacy registry.upsert_actor() path. This ensures the original YAML text, schema_version, and compiled_metadata are preserved in the database. Changes: - src/cleveragents/cli/commands/actor.py: Add _load_config_text() helper that returns both raw text and parsed dict. Refactor add() to call registry.add() with the raw yaml_text and update=update_existing flag when a registry is available. The service fallback path (no registry) is unchanged. - features/steps/actor_cli_steps.py: Update add command step definitions to mock registry.add() instead of registry.upsert_actor(). Update 'the actor add should pass the loaded config' assertion to verify registry.add() is called with a non-empty yaml_text string. - features/steps/actor_cli_yaml_steps.py: Update add command steps to mock registry.add() instead of registry.upsert_actor(). - features/steps/actor_add_rich_output_steps.py: Update add command steps to mock registry.add() instead of registry.upsert_actor(). - robot/helper_actor_add_rich_output.py: Update helper to mock registry.add() instead of registry.upsert_actor(). - features/actor_add_yaml_first_path.feature: New Behave feature verifying the YAML-first persistence path is used by actor add. - features/steps/actor_add_yaml_first_path_steps.py: Step definitions for the new YAML-first path feature. - robot/actor_add_yaml_first_path.robot: New Robot integration tests verifying yaml_text is preserved and upsert_actor is not called. - robot/helper_actor_add_yaml_first_path.py: Helper script for Robot tests. Fixes #3426 ISSUES CLOSED: #3426 |
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461adcdb2a |
fix(cli): correct automation-profile list output structure and rich table rendering
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Reviewed and APPROVED. Closes #2064. |
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098955693d |
fix(tool-registry): reject plain Tools in attach_validation type-discriminator check
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Reviewed and APPROVED. Closes #2826. |
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47a8a6fb78 |
fix(error-handling): handle FileNotFoundError in robot.helper_actor_config
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Reviewed and APPROVED. Closes #2789. |
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181ec4d2c2 |
fix(concurrency): protect CostTracker._daily_costs with a threading.Lock
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Reviewed and APPROVED. Closes #1919. |
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188ea031eb |
fix(resources): register fs-mount built-in resource type at startup
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Reviewed and APPROVED. Closes #2911. |
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b9c3ccee37 |
fix(robot): correct dedent logic for try...except...finally in indentation_library
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Reviewed and APPROVED. Closes #2845. |
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0b8152b9d0 |
fix(tui): show command descriptions in SlashCommandOverlay alongside command names
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Reviewed and APPROVED. Closes #3437. |
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2a541bb1e1 |
fix(cli): add Name and Updated columns to agents plan list table output
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Reviewed and APPROVED. Closes #2611. |
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4aaf865420 |
fix(acms): implement real retrieval logic in all 6 spec-required context strategies
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Reviewed and APPROVED. Priority/Critical fix. Closes #3500. |
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ef557a31a9 |
fix(a2a): change A2aErrorDetail.code to int and map error constants to JSON-RPC 2.0 integer codes
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Reviewed and APPROVED. Closes #2746. |
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63ea4d5279 |
fix(cli): align actor context CLI with robot test
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Reviewed and APPROVED. Closes #2793. |
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eb4ccc819c |
fix(cli): add NAME positional argument to agents actor add command per spec
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Reviewed and APPROVED. Closes #2905. |
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a145986df6 |
fix(cli): promote --format to global CLI callback option per spec
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Reviewed and APPROVED. |
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cdc93dc3cd |
fix(resources): support multiple named devcontainer configurations
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Reviewed and APPROVED. Closes #2615. |
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6c4bea1ba1 |
fix(tool): implement tool_type filter in ToolRegistry.list_tools()
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Reviewed and APPROVED. Closes #2974. |
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3b6e12d8e6 |
fix(cli): add spec-required Session Export, Contents, and Integrity panels to agents session export
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Reviewed and APPROVED. Closes #3424. |
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af9db5ea28 |
fix(acms): implement real retrieval logic in all 6 spec-required context strategies
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8608584e99 |
fix(plan-executor): wire SubplanService and SubplanExecutionService into Execute phase
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Implemented optional SubplanService and SubplanExecutionService wiring in PlanExecutor.__init__() (None = no-op). - Added _spawn_subplans() helper: - Queries spawn decisions via SubplanService.get_spawn_decisions() and calls SubplanService.spawn() for each decision. - No-ops when there are no spawn decisions. - Added _execute_subplans() helper: - Delegates to SubplanExecutionService.execute_all() to run spawned subplans, handling both sequential and parallel groups as dictated by decisions. - Added _apply_subplan_results_to_plan() helper: - Updates parent plan status tracking when child subplans fail. - Annotates error_details with failed_subplan_ids when appropriate. - Integrated spawning and execution into existing flow: - Called _spawn_subplans() and _execute_subplans() from both _run_execute_with_runtime() and _run_execute_with_stub() after actor completion. - Introduced PlanExecutor properties: - subplan_service and subplan_execution_service for external wiring and testability. - Added tests and scenarios: - Behave feature file with 6 scenarios covering subplan_spawn, subplan_parallel_spawn, no-op, and failure tracking. - Robot Framework integration test suite with 6 end-to-end subplan spawning test cases. Key design decisions - Optional services (None = no-op) to maintain backward compatibility with existing deployments. - Subplan spawning is a no-op when no spawn decisions exist, avoiding unnecessary work. - Parent plan error_details is annotated with failed_subplan_ids when a child subplan fails to aid debugging and traceability. - Both runtime and stub execute paths share the same spawning logic to ensure consistent behavior across execution modes. ISSUES CLOSED: #3561 |
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8891160bd8 |
fix(cli): add Name and Updated columns to agents plan list table output
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- Implemented Updated column in the plan list rich output by extending
lifecycle_list_plans() in src/cleveragents/cli/commands/plan.py.
The column is inserted after the existing Project column and before
Elapsed to maintain logical grouping.
- Added updated_str using plan.timestamps.updated_at.strftime('%Y-%m-%d %H:%M')
for a human-friendly timestamp in local time.
- Added three Behave scenarios in features/plan_cli_spec_alignment.feature
to assert presence of Name, Updated, and Invariants columns.
- Added 'When I run plan list with no filters' step definition.
- Added list_columns() function to robot/helper_plan_cli_spec.py verifying
all three columns with partial header checks due to terminal truncation.
- Added 'Plan List Rich Output Includes Required Columns' test case to
robot/plan_cli_spec.robot.
ISSUES CLOSED: #2611
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34f773c90a |
fix(cli): add spec-required Session Export, Contents, and Integrity panels to agents session export
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Implements the three Rich panels required by specification.md §"agents session export"
(lines 1987–2115) that were missing from the export_session() command.
Changes:
- Add _render_export_panels() helper that renders three spec-required panels:
* "Session Export" panel: session ID, output path, message count, file size, format
* "Contents" panel: messages, plan references, metadata keys, actor config, schema version
* "Integrity" panel: checksum (sha256:xxxx...xxxx), encrypted flag
- Fix success message from "Session exported to {output}" to "Export completed"
- Fix stdout export path to also render Rich panels (previously only printed raw JSON)
- Keep --format and --force options (useful extensions, do not break spec compliance)
- Update Behave scenarios in features/session_cli.feature to verify panel rendering
- Update Robot Framework helper and test file with new export panel assertions
ISSUES CLOSED: #3424
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a05f4c69a7 |
fix(resources): support multiple named devcontainer configurations in auto-discovery
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Extend DevcontainerDiscoveryResult and discover_devcontainers() to scan .devcontainer/<name>/devcontainer.json patterns (one subdirectory level) in addition to the existing fixed paths. Each named configuration produces a distinct result with config_name set to the subdirectory name (e.g. 'api', 'frontend'). Root-level configs retain config_name=None. - Replace _SCAN_PATHS with _FIXED_SCAN_PATHS for root-level configs - Add glob-based scan of .devcontainer/<name>/devcontainer.json - Add config_name: str | None attribute to DevcontainerDiscoveryResult - Validate config_name (must be non-empty str or None) - Add 8 new Behave scenarios covering named, multiple, mixed, empty cases - Add 4 new Robot Framework integration tests for named config discovery - All existing tests continue to pass (no regression) ISSUES CLOSED: #2615 |
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b82a9b6962 |
fix(cli): add spec-required Validation and Merge panels and correct title/message in agents session import (#3460)
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Co-authored-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> Co-committed-by: Jeffrey Phillips Freeman <the@jeffreyfreeman.me> |
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f5d244cd37 |
fix(a2a): change A2aErrorDetail.code to int and map error constants to JSON-RPC 2.0 integer codes
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Per JSON-RPC 2.0 specification (Section 5.1), error codes must be integers.
This commit fixes the protocol compliance defect where A2aErrorDetail.code
was typed as str and error constants were string literals.
Changes:
- src/cleveragents/a2a/models.py: Change A2aErrorDetail.code from str to int;
update field_validator to only validate 'message' (code no longer needs
non-empty string check; Pydantic enforces int type)
- src/cleveragents/a2a/errors.py: Change all error code constants from string
literals to JSON-RPC 2.0 integer codes per docs/reference/a2a.md taxonomy:
NOT_FOUND = -32001, AUTH_ERROR = -32002, FORBIDDEN = -32003,
INVALID_STATE = -32004, PLAN_ERROR = -32008, CONFIGURATION_ERROR = -32009,
VALIDATION_ERROR = -32602, INTERNAL_ERROR = -32603
Update map_domain_error() return type from tuple[str, str] to tuple[int, str]
- features/steps/a2a_facade_steps.py: Update A2aErrorDetail construction to
map symbolic string names to integer codes via _CODE_MAP
- features/steps/a2a_facade_wiring_steps.py: Update error code assertion to
map symbolic names to integers for comparison
- features/steps/a2a_facade_coverage_boost_steps.py: Same as above
- features/steps/a2a_jsonrpc_wire_format_steps.py: Update all A2aErrorDetail
constructions and JSON-RPC dict payloads to use integer codes
- robot/helper_a2a_facade_wiring.py: Update wired_error_mapping() to compare
against integer codes
- robot/helper_a2a_jsonrpc_wire_format.py: Update response_error_wire_format()
to use integer code -32001 instead of string 'NOT_FOUND'
Wire format now produces {"code": -32001, ...} instead of {"code": "NOT_FOUND", ...},
making it compliant with JSON-RPC 2.0 and interoperable with standards-conformant clients.
ISSUES CLOSED: #2746
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0f9ca00ce7 |
fix(tui): show command descriptions in SlashCommandOverlay alongside command names
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Update SlashCommandOverlay.set_commands() to accept list[SlashCommandSpec] instead of list[str], and render each entry as aligned columns: /command-name Description text Changes: - slash_command_overlay.py: update set_commands() signature to accept list[SlashCommandSpec]; render name + description with aligned padding using _COMMAND_COL_WIDTH = 28 characters for the name column - slash_catalog.py: add slash_command_specs() helper returning all specs - app.py: switch on_mount() to call slash_command_specs() instead of slash_command_names() so full spec objects are passed to the overlay - features/tui_slash_command_overlay_coverage.feature: add scenario verifying description rendering; update existing scenarios to use SlashCommandSpec objects via _make_specs() helper - features/steps/tui_slash_command_overlay_coverage_steps.py: update step implementations to build SlashCommandSpec objects from CSV names - features/tui_slash_overlay_descriptions.feature: new feature file with BDD scenarios covering description rendering and @tdd_expected_fail capture of the pre-fix name-only behaviour - features/steps/tui_slash_overlay_descriptions_steps.py: step defs for the new feature file - robot/tui_smoke.robot: add Slash Command Overlay Renders Descriptions integration test verifying descriptions appear in rendered overlay ISSUES CLOSED: #3437 |
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abf250901f |
fix(tool): implement tool_type filter in ToolRegistry.list_tools()
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The tool_type parameter in ToolRegistry.list_tools() was explicitly silenced with '_ = tool_type', making it a no-op. Both 'agents tool list --type validation' and 'agents tool list --type tool' returned the full unfiltered tool list. Changes: - src/cleveragents/tool/runtime.py: Add tool_type: Literal['tool', 'validation'] field to ToolSpec (default 'tool') so the registry has a discriminator to filter on. - src/cleveragents/tool/registry.py: Remove '_ = tool_type' no-op and implement actual filter: specs = [s for s in specs if s.tool_type == tool_type]. Update docstring to reflect the parameter is now active. - features/consolidated_tool.feature: Add 7 comprehensive Behave scenarios covering all filter combinations (tool, validation, None, default type, exclusion). - features/steps/tool_runtime_steps.py: Add step definition for registering a ToolSpec with an explicit tool_type. - robot/helper_tool_cli.py: Add tool_list_type_tool() and tool_list_type_validation() helper functions that verify the CLI passes tool_type through to the service layer. - robot/tool_cli.robot: Add two Robot test cases for 'tool list --type tool' and 'tool list --type validation'. The CLI handler (cli/commands/tool.py) and database repository (infrastructure/database/repositories.py) already passed tool_type through correctly — no changes needed there. ISSUES CLOSED: #2974 |
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a1fb804f21 |
fix(cli): correct automation-profile list output structure and rich table rendering
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The non-rich output branch of list_profiles() in
src/cleveragents/cli/commands/automation_profile.py has been refactored
to produce the spec-required envelope rather than a flat list of full
profile objects. The new envelope structure is:
{"profiles": [...simplified...], "summary": {"built_in": N, "custom": N, "total": N}}
Where profiles entries now contain only five fields: name, source,
select_tool, sandbox, and description.
Key changes:
- Profiles in the profiles array are reduced to match the exact spec
(name, source, select_tool, sandbox, description). Full details are
preserved for the show command via the existing _profile_spec_dict().
- The summary object aggregates counts after namespace/regex filtering
so the numbers accurately reflect what is being displayed.
- The rich table column header renamed from 'Select Tool' to 'Auto-Apply'
per spec line 16946, and a Summary panel is appended to the rich output
showing Built-in / Custom / Total counts per spec lines 16959-16963.
- Behave feature file updated with new scenarios covering JSON/YAML output
structure, rich table column header, and Summary panel.
- New step definitions include a comprehensive profiles-wrapper-with-summary
step that validates the full spec-required structure.
- Robot Framework helper test_list_json() updated to validate the new dict
structure with profiles wrapper and summary instead of the old flat list.
ISSUES CLOSED: #2064
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4d31f0ed02 |
fix(cli): promote --format to global CLI callback option per spec
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Add `fmt: OutputFormat` parameter to `main_callback()` in
`src/cleveragents/cli/main.py` and store the selected format in
`ctx.obj["format"]` so all subcommands can read it without needing
their own per-command `--format` flag.
Remove per-command `--format` / `fmt` parameters from `version()`,
`info()`, and `diagnostics()` commands. These commands now read the
format from `ctx.obj.get("format", OutputFormat.RICH.value)`.
The specification states: "The framework supports six distinct output
formats, selectable via the global `--format` flag." This change
aligns the implementation with the spec by making `--format` a global
option on the root `agents` command (via the Typer callback).
All six formats (json, yaml, plain, rich, table, color) are supported
via the global flag and the `-f` shorthand.
Add Behave BDD scenarios covering global `--format` flag propagation
to subcommands for all six formats. Update Robot Framework integration
tests to exercise the global `--format` flag. Update existing tests
that used per-command `--format` for version/info/diagnostics to use
the global flag instead.
ISSUES CLOSED: #2908
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2d07cd5ef8 |
fix(cli): add NAME positional argument to agents actor add command per spec
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The spec (docs/reference/actor_cli.md) defines the synopsis for `agents actor add` as: agents actor add <NAME> --config <FILE> [--update] [--unsafe] [--set-default] [--option key=value] [--format FORMAT] The implementation was missing the required <NAME> positional argument, silently reading the actor name from the config file's `name` field instead. This deviates from the spec and breaks the expected CLI UX. Changes: - Add `name` as a required positional Argument to the `add` command - Update docstring to match spec synopsis exactly - The positional NAME takes precedence over any `name` field in config - Remove the now-redundant config-file name validation (name comes from CLI) - Add Behave BDD feature + steps for the NAME positional argument (TDD) - Update all existing Behave step invocations to pass NAME positional arg - Update Robot Framework helpers to pass NAME positional arg ISSUES CLOSED: #2905 |
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e0336379f5 |
fix(robot): correct dedent logic for try...except...finally in indentation_library
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Rewrites the block_stack management in fix_python_indentation to correctly handle try...except...finally blocks in all configurations: - Single except clause - Multiple except clauses for the same try - try...except...finally - Nested try blocks with outer except - Nested try with inner finally followed by outer except (critical regression) Root cause: The original implementation stored only keyword strings in block_stack (e.g. 'try', 'class', 'other'). Two bugs existed: 1. When 'finally:' was encountered, the code popped the 'try' from the stack. This meant subsequent 'except:' clauses for an outer try could not find their matching try, producing syntactically invalid Python. 2. The dedent calculation for 'except'/'finally' counted all stack entries up to the first 'try', but did not account for nested try blocks where the inner try's except/finally had already been processed. Fix: Replace the flat string stack with a tuple stack of (keyword, base_indent, has_seen_except_finally). The new logic: - 'finally:' always belongs to the innermost try. Pop non-try entries, set indent to that try's base_indent, then pop the try itself (finally closes the block). The outer try remains on the stack. - 'except:' belongs to the innermost try. If the innermost try has already seen an except/finally AND there is an outer try, the inner try is done: pop it and use the outer try instead. Otherwise use the innermost try and mark it as having seen an except/finally clause. Adds a Behave BDD feature (tdd_indentation_library_try_except.feature) with 6 scenarios covering all acceptance criteria from issue #2845. ISSUES CLOSED: #2845 |
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f373e3a527 |
fix(resources): register fs-mount built-in resource type at startup
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Add fs-mount ResourceTypeDefinition to _GIT_FS_CONTAINER_TYPES in _resource_registry_data.py so that bootstrap_builtin_types() seeds it into the registry at startup. The fs-mount type was listed in BUILTIN_TYPE_NAMES (validation frozenset) but had no corresponding type definition in BUILTIN_TYPES, causing: - 'agents resource type list' to omit fs-mount - 'agents resource add fs-mount ...' to fail with 'Resource type not found' - fs-directory to be unable to reference fs-mount as a parent type Changes: - Add fs-mount definition to _GIT_FS_CONTAINER_TYPES with correct fields: name, description, resource_kind=physical, sandbox_strategy=copy_on_write, user_addable=True, cli_args=[path], parent_types=[], child_types=[fs-directory], auto_discovery with fs-directory rule, handler=fs_mount:FsMountHandler, capabilities (read/write/sandbox=True, checkpoint=False) - Add fs-mount to fs-directory's parent_types so fs-directory can be nested under an fs-mount resource - Add BDD scenarios in resource_type_bootstrap_fs_mount.feature covering registration, user_addable, child_types, parent_types, resource add, and fs-directory parent resolution - Add Robot Framework integration tests in resource_type_bootstrap_fs_mount.robot covering all four acceptance criteria end-to-end ISSUES CLOSED: #2911 |