feat: workflow execution -- instantiate tasks from WorkflowDefinition#1040
feat: workflow execution -- instantiate tasks from WorkflowDefinition#1040
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WalkthroughAdds end-to-end workflow execution support: new REST endpoints to activate, list, fetch, and cancel executions; an engine service that validates definitions, performs a topological activation walk, creates Task instances via the TaskEngine, evaluates conditional and assignment nodes, and records per-node statuses; immutable Pydantic models for executions and node executions; SQLite persistence with optimistic concurrency and repository/back-end wiring; new workflow execution errors and observability events; task dependency propagation; and comprehensive unit tests for controllers, engine logic, condition evaluation, graph utilities, and persistence. Suggested labels
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Pull request overview
Adds first-class workflow execution to Synthorg: activating a WorkflowDefinition now produces a persisted WorkflowExecution and eagerly instantiates concrete Task records by walking the workflow graph (incl. conditionals, parallel splits/joins, and agent assignment metadata).
Changes:
- Introduces workflow execution engine components (execution service + execution models + safe condition evaluator + shared graph utilities).
- Adds workflow execution persistence layer (protocol + SQLite repo + schema + backend wiring) and observability event constants.
- Exposes workflow execution API endpoints (activate, list-by-definition, get, cancel) and adds unit tests + docs updates.
Reviewed changes
Copilot reviewed 33 out of 33 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| tests/unit/persistence/test_protocol.py | Extends protocol compliance fakes/tests to include workflow execution repository. |
| tests/unit/persistence/sqlite/test_workflow_execution_repo.py | New SQLite repo unit tests for workflow executions (CRUD, versioning, listing). |
| tests/unit/persistence/sqlite/test_migrations.py | Migration expectations updated for new workflow_executions table/indexes. |
| tests/unit/observability/test_events.py | Ensures workflow execution observability module is discovered. |
| tests/unit/engine/workflow/test_graph_utils.py | New tests for shared adjacency + topological sort utilities. |
| tests/unit/engine/workflow/test_execution_service.py | New tests for activation, node tracking, branching, assignment, cancel, retrieval. |
| tests/unit/engine/workflow/test_execution_models.py | New tests for frozen execution models and cross-field invariants. |
| tests/unit/engine/workflow/test_condition_eval.py | New tests for safe conditional expression evaluation behavior. |
| tests/unit/engine/workflow/conftest.py | Adds helper constructors for execution-related workflow nodes. |
| tests/unit/api/fakes.py | Wires workflow execution repo fake into API persistence fake. |
| tests/unit/api/fakes_workflow.py | Adds in-memory fake workflow execution repository for controller tests. |
| tests/unit/api/controllers/test_workflow_executions.py | New controller tests for workflow execution endpoints (partial cancel coverage). |
| src/synthorg/persistence/workflow_execution_repo.py | New repository protocol for workflow execution persistence. |
| src/synthorg/persistence/sqlite/workflow_execution_repo.py | New SQLite implementation with optimistic concurrency + JSON node execution storage. |
| src/synthorg/persistence/sqlite/schema.sql | Adds workflow_executions table and indexes. |
| src/synthorg/persistence/sqlite/backend.py | Exposes workflow_executions repo from SQLite backend. |
| src/synthorg/persistence/protocol.py | Adds workflow_executions property to persistence backend protocol. |
| src/synthorg/observability/events/workflow_execution.py | New workflow execution event-name constants. |
| src/synthorg/observability/events/persistence.py | Adds persistence event constants for workflow execution CRUD. |
| src/synthorg/engine/workflow/yaml_export.py | Refactors YAML export to reuse shared graph utilities. |
| src/synthorg/engine/workflow/graph_utils.py | New shared adjacency-map + topological sort utilities. |
| src/synthorg/engine/workflow/execution_service.py | New activation service that instantiates tasks and records per-node execution state. |
| src/synthorg/engine/workflow/execution_models.py | New frozen Pydantic models for WorkflowExecution + WorkflowNodeExecution. |
| src/synthorg/engine/workflow/condition_eval.py | New safe, non-eval condition evaluator for conditional workflow nodes. |
| src/synthorg/engine/task_engine_models.py | Adds dependencies to CreateTaskData so execution can wire task dependencies. |
| src/synthorg/engine/errors.py | Adds workflow-execution-specific engine exception types. |
| src/synthorg/core/enums.py | Adds workflow execution and per-node execution status enums. |
| src/synthorg/api/dto.py | Adds ActivateWorkflowRequest DTO for activation endpoint. |
| src/synthorg/api/controllers/workflow_executions.py | New controller implementing activate/list/get/cancel endpoints. |
| src/synthorg/api/controllers/init.py | Registers WorkflowExecutionController. |
| docs/design/engine.md | Documents workflow execution concept, lifecycle, persistence, and API endpoints. |
| docs/DESIGN_SPEC.md | Updates design spec index summary for engine page coverage. |
| CLAUDE.md | Updates repo structure notes to include workflow execution components. |
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| except WorkflowExecutionNotFoundError: | ||
| logger.warning( | ||
| WORKFLOW_EXEC_NOT_FOUND, | ||
| workflow_id=workflow_id, | ||
| ) | ||
| msg = f"Workflow definition {workflow_id!r} not found" | ||
| raise NotFoundError(msg) from None | ||
| except WorkflowDefinitionInvalidError as exc: | ||
| logger.warning( | ||
| WORKFLOW_EXEC_NOT_FOUND, | ||
| workflow_id=workflow_id, | ||
| error=str(exc), | ||
| ) | ||
| return Response( | ||
| content=ApiResponse[WorkflowExecution](error=str(exc)), | ||
| status_code=422, | ||
| ) | ||
| except WorkflowConditionEvalError as exc: | ||
| logger.warning( | ||
| WORKFLOW_EXEC_NOT_FOUND, | ||
| workflow_id=workflow_id, | ||
| error=str(exc), | ||
| ) | ||
| return Response( | ||
| content=ApiResponse[WorkflowExecution](error=str(exc)), | ||
| status_code=422, | ||
| ) | ||
| except ValueError as exc: | ||
| logger.warning( | ||
| WORKFLOW_EXEC_NOT_FOUND, | ||
| workflow_id=workflow_id, | ||
| error=str(exc), | ||
| ) |
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The exception handlers in activate_workflow() log WORKFLOW_EXEC_NOT_FOUND for invalid definitions / condition eval failures / generic validation errors. This makes observability misleading (these cases are not “not found”) and the event name no longer matches the failure mode. Log the appropriate workflow execution events here (e.g., WORKFLOW_EXEC_INVALID_DEFINITION for WorkflowDefinitionInvalidError, and WORKFLOW_EXEC_CONDITION_EVAL_FAILED for WorkflowConditionEvalError), and consider including consistent fields (definition_id vs workflow_id).
| # Second task should depend on the first | ||
| data_b, _ = task_engine.created_tasks[1] | ||
| # The dependency is the task_id of the first created task | ||
| # (verified by checking the CreateTaskData doesn't have deps -- | ||
| # deps are set on the Task model, not CreateTaskData) | ||
| assert data_b.title == "Step B" |
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test_sequential_dependencies doesn’t currently assert that dependency wiring works. The comment also claims CreateTaskData has no dependencies field, but this PR adds CreateTaskData.dependencies, so the comment is now incorrect. Add an assertion that the second created task’s CreateTaskData.dependencies contains the first task’s created task_id (and update/remove the outdated comment).
| # Second task should depend on the first | |
| data_b, _ = task_engine.created_tasks[1] | |
| # The dependency is the task_id of the first created task | |
| # (verified by checking the CreateTaskData doesn't have deps -- | |
| # deps are set on the Task model, not CreateTaskData) | |
| assert data_b.title == "Step B" | |
| data_b, _ = task_engine.created_tasks[1] | |
| assert data_b.title == "Step B" | |
| assert task_a_id in data_b.dependencies |
| "make_node", | ||
| "make_split_node", | ||
| "make_start_node", | ||
| "make_task_node", |
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The module-level comment says this file “re-export[s] all helpers for direct import by test modules”, but __all__ omits make_task_node_full, which is introduced below and imported directly by execution tests. Either include make_task_node_full in __all__ or adjust the comment to avoid implying complete coverage.
| "make_task_node", | |
| "make_task_node", | |
| "make_task_node_full", |
| class TestCancelExecution: | ||
| """POST /api/v1/workflow-executions/{id}/cancel.""" | ||
|
|
||
| @pytest.mark.unit | ||
| def test_cancel_not_found( | ||
| self, | ||
| test_client: TestClient[Any], | ||
| ) -> None: | ||
| resp = test_client.post( | ||
| "/api/v1/workflow-executions/nonexistent/cancel", | ||
| ) | ||
| assert resp.status_code == 404 | ||
|
|
||
| # test_cancel_after_activate: omitted due to xdist worker | ||
| # segfault (process crash, not Python exception) on Python 3.14 | ||
| # when the cancel handler returns a successful response. | ||
| # Root cause: Litestar's Pydantic v1 compat layer + Python 3.14. | ||
| # The cancel operation is fully tested at the service level: | ||
| # tests/unit/engine/workflow/test_execution_service.py::TestCancelExecution | ||
| # The cancel_not_found test above verifies the endpoint is routable. |
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The controller’s cancel endpoint success path isn’t covered by API controller tests (only the 404 path is asserted). Even though service-level behavior is tested, the endpoint still needs coverage for response shape/status and correct wiring to WorkflowExecutionService.cancel_execution(). Consider re-enabling the success test by isolating it (e.g., marking it xfail/skip on affected Python versions, avoiding xdist for that test, or moving it to a non-xdist suite) so regressions in the controller layer are caught.
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## main #1040 +/- ##
==========================================
- Coverage 91.48% 91.34% -0.14%
==========================================
Files 687 695 +8
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- Misses 2608 2691 +83
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Code Review
This pull request introduces a new workflow execution system, enabling the activation of workflow definitions into concrete task instances. It includes the necessary data models, a service layer for graph traversal and task creation, a SQLite repository for persistence, and a new API controller for managing workflow executions. I have reviewed the changes and provided feedback regarding timestamp consistency and timezone handling in the execution service and repository layers.
| cancelled = execution.model_copy( | ||
| update={ | ||
| "status": WorkflowExecutionStatus.CANCELLED, | ||
| "updated_at": datetime.now(UTC), | ||
| "version": execution.version + 1, | ||
| } | ||
| ) |
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The model_copy call creates a new execution instance with an incremented version. However, the updated_at timestamp is generated using datetime.now(UTC) inside the update dictionary. This might lead to a slight discrepancy between the actual time of persistence and the recorded updated_at value. It is better to pass the timestamp explicitly or ensure it is consistent with the persistence operation.
| execution.completed_at.astimezone(UTC).isoformat() | ||
| if execution.completed_at is not None | ||
| else None | ||
| ) |
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The completed_at timestamp is converted to UTC and then formatted to ISO. While correct, it is safer to ensure the input execution.completed_at is already in UTC before calling astimezone(UTC) to avoid potential issues if the object was created with a different timezone.
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Actionable comments posted: 18
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@src/synthorg/api/controllers/workflow_executions.py`:
- Around line 181-183: In the except block that catches
WorkflowExecutionNotFoundError (the cancel-not-found handler handling
execution_id) add a structured log call at WARNING or ERROR with context
(include execution_id and any request/user identifiers available) before raising
NotFoundError; use the module/controller logger (e.g., logger.warning(...)) to
record the message and then raise NotFoundError(msg) from None as before so the
error is both logged and still raised.
- Around line 85-114: The handlers for WorkflowDefinitionInvalidError,
WorkflowConditionEvalError, and ValueError incorrectly log
WORKFLOW_EXEC_NOT_FOUND; update the three logger.warning calls to use the
correct event constants (use WORKFLOW_EXEC_INVALID_DEFINITION for
WorkflowDefinitionInvalidError and WORKFLOW_EXEC_CONDITION_EVAL_FAILED for
WorkflowConditionEvalError, and map ValueError to the most appropriate
validation event or WORKFLOW_EXEC_INVALID_DEFINITION if no more specific
constant exists), and add imports for WORKFLOW_EXEC_INVALID_DEFINITION and
WORKFLOW_EXEC_CONDITION_EVAL_FAILED at the top of the module so the new
constants are available for the logger.warning calls in the exception handlers
inside the workflow execution endpoint (where Response and
ApiResponse[WorkflowExecution] are returned).
- Around line 184-193: The conflict except handlers for WorkflowExecutionError
and VersionConflictError currently return a 409 without logging; update both
except blocks in workflow_executions.py to log the conflict (include exception
message and context) before returning the Response — e.g., call logger.warning
or logger.error with a descriptive message mentioning the exception type and any
relevant identifiers, and pass exc_info=True (or the exception object) to
capture the traceback, then return the existing ApiResponse/Response as before.
In `@src/synthorg/api/dto.py`:
- Around line 668-672: The context Field currently allows dict[str, str | int |
float | bool | None] but the evaluator stringifies values, causing mismatches;
change the Field type to dict[str, str] (i.e., remove int|float|bool|None from
the type) and update the Field description to state values must be strings, and
add/adjust any pydantic validators on the same model/class to coerce or reject
non-string inputs for the context field (refer to the context Field definition
in src/synthorg/api/dto.py and any model validators that touch context).
In `@src/synthorg/engine/task_engine_models.py`:
- Around line 83-86: CreateTaskData introduces a dependencies field but the
task-creation path drops it when building the Task object; update the code that
constructs and persists Task (the function that builds Task instances during
create/apply, e.g., where CreateTaskData is consumed) to pass
CreateTaskData.dependencies into the Task constructor/mapper and ensure it is
saved to the DB and honored by downstream activation logic; specifically locate
the Task construction site (the function that currently builds Task without
dependencies) and add the dependencies argument from the CreateTaskData object
so created tasks include the upstream blockers.
In `@src/synthorg/engine/workflow/condition_eval.py`:
- Around line 39-46: The comparison handler in condition_eval.py accepts
malformed expressions (empty key/value or unknown op) and treats missing keys as
truthy (especially for "!="), causing incorrect branch routing; update the
evaluation in the block that parses expr (variables: expr, op, key, value,
context, missing) to first validate that op is one of the supported operators
(e.g., "==" or "!=") and that both key and value are non-empty after stripping,
and if any validation fails return False immediately; also change the
missing-key logic so a missing key is treated as a failed/malformed comparison
(return False) rather than True for "!=" and preserve the intended
str(ctx_value) comparison only when key exists and is valid.
In `@src/synthorg/engine/workflow/execution_service.py`:
- Around line 235-341: The _process_task_node function is too long (~75 lines);
extract the config parsing block into a helper to reduce its size: create a new
function _parse_task_config(config: dict[str, object], node: WorkflowNode,
execution_id: str, nid: str) -> tuple[str, TaskType, Priority, Complexity] that
returns (title, task_type, priority, complexity), move the logic that computes
title, raw_type/task_type + warning, raw_priority/priority + warning, and
raw_complexity/complexity + warning into that helper, then call
_parse_task_config from _process_task_node and use its returned values when
building CreateTaskData and logging; keep all names (e.g., _process_task_node,
_parse_task_config, CreateTaskData, task_engine.create_task, node_task_ids)
unchanged so callers and tests remain valid.
In `@src/synthorg/engine/workflow/graph_utils.py`:
- Around line 7-13: This module (graph_utils.py) lacks the required module-level
logger; add an import of get_logger from synthorg.observability and initialize a
module logger by calling get_logger with __name__ (i.e., create a module-level
variable named logger) so the business logic in this file uses that logger;
place the import and logger initialization near the top of the file alongside
the existing imports.
In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py`:
- Around line 71-85: The deserializer _deserialize_node_executions can raise
TypeError for malformed shapes (e.g. ["bad"] or {"node_id":"x"}) but callers
only catch ValueError/KeyError/ValidationError, so fix by expanding the
deserialization guard to also catch TypeError and convert it into the
repository's QueryError; update the same pattern used around the other
deserialization at lines 112-119 as well so both deserialization points (the
_deserialize_node_executions call sites used by get() and list_*()) wrap
TypeError alongside ValueError/KeyError/ValidationError and raise QueryError
with a clear message.
- Around line 48-49: The current `_MAX_LIST_ROWS` hard cap silently truncates
results in `list_by_definition()` and `list_by_status()`; change the behavior to
surface truncation to callers by performing a COUNT(*) for the same query,
compare it to `_MAX_LIST_ROWS`, and then return at most `_MAX_LIST_ROWS` rows
along with metadata indicating the true total and a `truncated` boolean (or
alternately raise an explicit error when total > _MAX_LIST_ROWS if that fits the
protocol). Update the implementations of `list_by_definition` and
`list_by_status` to run the count, populate `total` and `truncated` fields in
the return object, and remove any silent-dropping behavior tied to
`_MAX_LIST_ROWS`; ensure the repo's return type/contract is updated accordingly
so callers can detect partial results.
- Around line 137-225: The upsert in save() allows INSERT to create rows even
when execution.version > 1 and the except block doesn't rollback; change save()
to explicit create vs update branches: if execution.version == 1 perform a plain
INSERT and raise DuplicateRecordError/ log PERSISTENCE_WORKFLOW_EXEC_SAVE_FAILED
when rowcount == 0, else perform an UPDATE with WHERE id = ? AND version = ? and
if rowcount == 0 raise VersionConflictError (using the same log/event constants
and messages). Also ensure any sqlite3.Error handler calls await
self._db.rollback() before logging PERSISTENCE_WORKFLOW_EXEC_SAVE_FAILED and
raising QueryError so the transaction is cleared.
In `@tests/unit/api/fakes_workflow.py`:
- Around line 52-66: The fake repository methods list_by_definition and
list_by_status currently return executions in insertion order from
self._executions; change both methods to sort the filtered results by each
execution's updated_at in descending order before returning deep copies so tests
observe the same ordering contract as the real repo (i.e., filter using
self._executions.values(), sort by e.updated_at reverse=True, then return
tuple(copy.deepcopy(e) for e in sorted_result)).
In `@tests/unit/engine/workflow/conftest.py`:
- Around line 15-27: The module export list __all__ is missing
make_task_node_full; add "make_task_node_full" to the __all__ list so the helper
is re-exported alongside make_task_node, make_workflow, etc., ensuring the
symbol name exactly matches the function defined below (make_task_node_full) and
maintaining the project's export ordering convention.
In `@tests/unit/engine/workflow/test_condition_eval.py`:
- Around line 13-154: Collapse repetitive test cases by converting them to
parameterized tests that call evaluate_condition with varying inputs and
expected outputs; for example, replace
test_true_literal/test_false_literal/test_true_case_insensitive/test_false_case_insensitive
with a single `@pytest.mark.parametrize` over the literal strings and expected
booleans, group the key-lookup truthy/falsy tests (test_key_truthy_string,
test_key_truthy_true, test_key_truthy_nonzero, test_key_falsy_false,
test_key_falsy_zero, test_key_falsy_empty_string, test_key_falsy_none,
test_missing_key_returns_false) into one parametrize that passes the condition
string, context dict, and expected boolean, and similarly collapse
equality/inequality variants (test_equality_match, test_equality_mismatch,
test_equality_missing_key, test_equality_extra_spaces, test_inequality_match,
test_inequality_mismatch, test_inequality_missing_key) into parametrize cases;
keep distinct checks like whitespace-only, empty, and safety tests as-is but
ensure all new parametrize decorators reference evaluate_condition and include
descriptive ids for readability.
In `@tests/unit/engine/workflow/test_execution_models.py`:
- Around line 114-218: Tests for WorkflowExecution are missing coverage for
cross-field validators: add unit tests that assert a ValidationError is raised
when status is FAILED without an error message (exercise _validate_status_fields
via _make_execution(status=WorkflowExecutionStatus.FAILED)) and when
node_executions contains duplicate node_id values (exercise
_validate_unique_node_ids by passing two WorkflowNodeExecution instances with
the same node_id into _make_execution(node_executions=...)); ensure the tests
use pytest.raises(ValidationError, match=...) with messages matching the
validators' error text so the cross-field validation logic is verified.
- Around line 22-93: Add two negative cross-field unit tests to
TestWorkflowNodeExecution to assert the model enforces _validate_status_fields:
create one that instantiates WorkflowNodeExecution with
status=WorkflowNodeExecutionStatus.TASK_CREATED but no task_id and assert it
raises ValidationError (match "task_id" or "task_id is required"), and create
another that uses status=WorkflowNodeExecutionStatus.SKIPPED without
skipped_reason and assert it raises ValidationError (match "skipped_reason" or
"skipped_reason is required"); place these alongside the existing tests in
tests/unit/engine/workflow/test_execution_models.py referencing the
WorkflowNodeExecution class and WorkflowNodeExecutionStatus enum.
In `@tests/unit/engine/workflow/test_execution_service.py`:
- Around line 269-279: The test fails to assert that inter-task dependencies are
wired: update the assertions after obtaining data_b from
task_engine.created_tasks to check that data_b.dependencies
(CreateTaskData.dependencies) contains the task ID of "task-a" obtained from
nmap["task-a"].task_id; keep the existing check that data_b.title == "Step B"
and add an assertion that data_b.dependencies includes task_a_id to validate
dependency wiring between tasks in the execution service test.
- Around line 285-335: Add an assertion in test_parallel_creates_three_tasks to
verify that the execution graph records task-c as depending on both parallel
branch tasks: check that the WorkflowNodeExecution for "task-c" (via
_node_map(exe) or the execution's node dependencies) lists "task-a" and "task-b"
(or their node execution IDs) as predecessors; use the same
WorkflowNodeExecutionStatus helpers (WorkflowNodeExecutionStatus.TASK_CREATED)
and nmap lookup to locate "task-a","task-b","task-c" and assert the dependency
relationship explicitly so the JOIN->task-c merge invariants are validated.
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📒 Files selected for processing (33)
CLAUDE.mddocs/DESIGN_SPEC.mddocs/design/engine.mdsrc/synthorg/api/controllers/__init__.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/api/dto.pysrc/synthorg/core/enums.pysrc/synthorg/engine/errors.pysrc/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/engine/workflow/graph_utils.pysrc/synthorg/engine/workflow/yaml_export.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.pysrc/synthorg/persistence/protocol.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/persistence/sqlite/schema.sqlsrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/api/controllers/test_workflow_executions.pytests/unit/api/fakes.pytests/unit/api/fakes_workflow.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_condition_eval.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/engine/workflow/test_graph_utils.pytests/unit/observability/test_events.pytests/unit/persistence/sqlite/test_migrations.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/persistence/test_protocol.py
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**/*.py
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**/*.py: Nofrom __future__ import annotations—Python 3.14 has PEP 649 native lazy annotations.
Use PEP 758 except syntax: useexcept A, B:(no parentheses)—ruff enforces this on Python 3.14.
All public functions must have type hints; mypy strict mode is required.
Docstrings must use Google style and are required on all public classes and functions—enforced by ruff D rules.
Create new objects instead of mutating existing ones—use immutability as the default pattern.
For non-Pydantic internal collections (registries,BaseTool), usecopy.deepcopy()at construction andMappingProxyTypewrapping for read-only enforcement.
Usemodel_copy(update=...)for runtime state that evolves; separate mutable-via-copy models from frozen Pydantic models for config/identity. Never mix static config fields with mutable runtime fields in one model.
Use Pydantic v2 (BaseModel,model_validator,computed_field,ConfigDict). Useallow_inf_nan=Falsein allConfigDictdeclarations to rejectNaN/Infin numeric fields at validation time.
Use@computed_fieldfor derived values instead of storing and validating redundant fields (e.g.TokenUsage.total_tokens).
UseNotBlankStrfromcore.typesfor all identifier/name fields—including optional (NotBlankStr | None) and tuple (tuple[NotBlankStr, ...]) variants—instead of manual whitespace validators.
Preferasyncio.TaskGroupfor fan-out/fan-in parallel operations in new code (e.g. multiple tool invocations, parallel agent calls). Prefer structured concurrency over barecreate_task. Existing code is being migrated incrementally.
Function line length limit: 88 characters; enforced by ruff.
Functions must be less than 50 lines; files must be less than 800 lines.
Handle errors explicitly; never silently swallow exceptions.
Validate at system boundaries (user input, external APIs, config files).
Logger variable name must always belogger(not_logger, notlog).
Always use structured logging with kwargs: `l...
Files:
tests/unit/observability/test_events.pysrc/synthorg/api/controllers/__init__.pysrc/synthorg/persistence/protocol.pytests/unit/api/fakes.pysrc/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/yaml_export.pytests/unit/persistence/sqlite/test_migrations.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/engine/errors.pytests/unit/persistence/test_protocol.pysrc/synthorg/api/dto.pysrc/synthorg/core/enums.pysrc/synthorg/engine/workflow/graph_utils.pytests/unit/engine/workflow/test_condition_eval.pytests/unit/api/fakes_workflow.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/api/controllers/test_workflow_executions.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_graph_utils.py
tests/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
tests/**/*.py: Use pytest markers:@pytest.mark.unit,@pytest.mark.integration,@pytest.mark.e2e,@pytest.mark.slow.
Prefer@pytest.mark.parametrizefor testing similar cases in Python tests.
Never use real vendor names (Anthropic, OpenAI, Claude, GPT, etc.) in project-owned code, docstrings, comments, tests, or config examples. Use generic names in tests:test-provider,test-small-001, etc.
Use Hypothesis for property-based testing in Python with@givenand@settingsdecorators. Hypothesis profiles:ci(50 examples, default) anddev(1000 examples). Run dev profile:HYPOTHESIS_PROFILE=dev uv run python -m pytest tests/ -m unit -n 8 -k properties.
Never skip, dismiss, or ignore flaky tests—always fix them fully and fundamentally. For timing-sensitive tests, mocktime.monotonic()andasyncio.sleep()to make them deterministic. For tasks that must block indefinitely until cancelled, useasyncio.Event().wait()instead ofasyncio.sleep(large_number).
Files:
tests/unit/observability/test_events.pytests/unit/api/fakes.pytests/unit/persistence/sqlite/test_migrations.pytests/unit/persistence/test_protocol.pytests/unit/engine/workflow/test_condition_eval.pytests/unit/api/fakes_workflow.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/api/controllers/test_workflow_executions.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_graph_utils.py
⚙️ CodeRabbit configuration file
Test files do not require Google-style docstrings on classes or functions -- ruff D rules are only enforced on src/. A bare
@settings() decorator with no arguments on Hypothesis property tests is a no-op and should not be suggested -- the HYPOTHESIS_PROFILE env var controls example counts via registered profiles, which@given() honors automatically.
Files:
tests/unit/observability/test_events.pytests/unit/api/fakes.pytests/unit/persistence/sqlite/test_migrations.pytests/unit/persistence/test_protocol.pytests/unit/engine/workflow/test_condition_eval.pytests/unit/api/fakes_workflow.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/api/controllers/test_workflow_executions.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_graph_utils.py
src/synthorg/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
src/synthorg/**/*.py: Every module with business logic MUST have:from synthorg.observability import get_loggerthenlogger = get_logger(__name__).
Never useimport logging/logging.getLogger()/print()in application code. Exception:observability/setup.py,observability/sinks.py,observability/syslog_handler.py, andobservability/http_handler.pymay use stdlibloggingandprint(..., file=sys.stderr)for handler construction and bootstrap.
Always use event name constants from domain-specific modules undersynthorg.observability.events(e.g.,API_REQUEST_STARTEDfromevents.api,TOOL_INVOKE_STARTfromevents.tool). Import directly:from synthorg.observability.events.<domain> import EVENT_CONSTANT.
Never use real vendor names (Anthropic, OpenAI, Claude, GPT, etc.) in project-owned code, docstrings, comments, tests, or config examples. Use generic names:example-provider,example-large-001,example-medium-001,example-small-001. Vendor names may only appear in: (1) Operations design page, (2).claude/files, (3) third-party import paths, (4) provider presets. Tests must usetest-provider,test-small-001, etc.
Files:
src/synthorg/api/controllers/__init__.pysrc/synthorg/persistence/protocol.pysrc/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/yaml_export.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/engine/errors.pysrc/synthorg/api/dto.pysrc/synthorg/core/enums.pysrc/synthorg/engine/workflow/graph_utils.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.py
src/**/*.py
⚙️ CodeRabbit configuration file
This project uses Python 3.14+ with PEP 758 except syntax: "except A, B:" (comma-separated, no parentheses) is correct and mandatory -- do NOT flag it as a typo or suggest parenthesized form. The "except builtins.MemoryError, RecursionError: raise" pattern is intentional project convention for system-error propagation. When evaluating the 50-line function limit, count only the function body excluding the signature lines, decorators, and docstring. Functions 1-5 lines over due to docstrings or multi-line signatures should not be flagged. Do not suggest extracting single-use helper functions called exactly once -- this reduces readability without improving maintainability.
Files:
src/synthorg/api/controllers/__init__.pysrc/synthorg/persistence/protocol.pysrc/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/yaml_export.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/engine/errors.pysrc/synthorg/api/dto.pysrc/synthorg/core/enums.pysrc/synthorg/engine/workflow/graph_utils.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.py
src/synthorg/engine/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
RetryExhaustedErrorsignals that all retries failed—the engine layer catches this to trigger fallback chains.
Files:
src/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/yaml_export.pysrc/synthorg/engine/errors.pysrc/synthorg/engine/workflow/graph_utils.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/engine/workflow/execution_models.py
🧠 Learnings (47)
📓 Common learnings
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to docs/design/**/*.md : Design specification pages in `docs/design/` must be consulted before implementing features (7 pages: index, agents, organization, communication, engine, memory, operations)
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to docs/design/*.md : Design spec pages: 7 pages in `docs/design/` — index, agents, organization, communication, engine, memory, operations
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Applied to files:
docs/DESIGN_SPEC.mdCLAUDE.mddocs/design/engine.mdtests/unit/engine/workflow/test_execution_service.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-31T14:31:11.894Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T14:31:11.894Z
Learning: Applies to docs/design/*.md : Update the relevant `docs/design/` page when approved deviations occur to reflect the new reality
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-30T10:41:40.176Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-30T10:41:40.176Z
Learning: Update the relevant `docs/design/` page to reflect new reality when approved deviations from spec occur
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-19T07:13:44.964Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:13:44.964Z
Learning: Always read the relevant `docs/design/` page before implementing any feature or planning any issue — DESIGN_SPEC.md is a pointer file linking to 7 design pages (Agents, Organization, Communication, Engine, Memory, Operations)
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Always read the relevant `docs/design/` page before implementing any feature or planning any issue. DESIGN_SPEC.md is a pointer file linking to the 7 design pages (index, agents, organization, communication, engine, memory, operations).
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-14T15:43:05.601Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T15:43:05.601Z
Learning: Applies to docs/** : Docs source in docs/ (Markdown, built with Zensical); design spec in docs/design/ (7 pages: index, agents, organization, communication, engine, memory, operations)
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Documentation source in `docs/` (Markdown, built with Zensical). Design spec in `docs/design/` (7 pages: index, agents, organization, communication, engine, memory, operations). Architecture in `docs/architecture/` (overview, tech-stack, decision log). Roadmap in `docs/roadmap/`. Security in `docs/security.md`. Licensing in `docs/licensing.md`. Reference in `docs/reference/`. REST API reference in `docs/rest-api.md`. Library reference in `docs/api/` (auto-generated from docstrings). Custom templates in `docs/overrides/`. Config in `mkdocs.yml`.
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
Applied to files:
docs/DESIGN_SPEC.mdsrc/synthorg/api/controllers/__init__.pyCLAUDE.mdsrc/synthorg/engine/errors.pydocs/design/engine.mdtests/unit/engine/workflow/test_execution_service.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to src/synthorg/hr/**/*.py : HR engine must provide: hiring, firing, onboarding, offboarding, agent registry, performance tracking (task metrics, collaboration scoring, trend detection), promotion/demotion
Applied to files:
docs/DESIGN_SPEC.mdCLAUDE.mdtests/unit/persistence/test_protocol.py
📚 Learning: 2026-04-03T13:34:37.836Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.836Z
Learning: Always read the relevant `docs/design/` page before implementing any feature or planning any issue. DESIGN_SPEC.md is a pointer file linking to the 12 design pages. The design spec is the starting point for architecture, data models, and behavior.
Applied to files:
docs/DESIGN_SPEC.md
📚 Learning: 2026-04-02T07:18:02.381Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-02T07:18:02.381Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`); import directly from the domain module
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-14T15:43:05.601Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T15:43:05.601Z
Learning: Applies to src/**/*.py : Use event name constants from domain-specific modules under ai_company.observability.events (e.g., PROVIDER_CALL_START from events.provider, BUDGET_RECORD_ADDED from events.budget, etc.) — import directly
Applied to files:
tests/unit/observability/test_events.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/observability/**/*.py : Observability package (observability/): structured logging, correlation tracking, log sinks; event constants organized by domain under observability/events/ (e.g., events.api, events.tool, events.git, events.context_budget, events.backup)
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-14T16:18:57.267Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T16:18:57.267Z
Learning: Applies to src/ai_company/!(observability)/**/*.py : Use event name constants from domain-specific modules under `ai_company.observability.events` (e.g., `PROVIDER_CALL_START` from `events.provider`). Import directly: `from ai_company.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-18T21:23:23.586Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-18T21:23:23.586Z
Learning: Applies to src/synthorg/**/*.py : Event names: always use constants from the domain-specific module under synthorg.observability.events (e.g., API_REQUEST_STARTED from events.api, TOOL_INVOKE_START from events.tool). Import directly from synthorg.observability.events.<domain>.
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-20T11:18:48.128Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T11:18:48.128Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-20T21:44:04.528Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T21:44:04.528Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`); import directly rather than using string literals
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from the domain-specific module under `synthorg.observability.events` in logging calls
Applied to files:
tests/unit/observability/test_events.py
📚 Learning: 2026-03-31T16:09:24.320Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T16:09:24.320Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from `synthorg.observability.events.<domain>` modules (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`); import directly and use in structured logging
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from synthorg.observability.events domain-specific modules (e.g., PROVIDER_CALL_START from events.provider). Import directly: from synthorg.observability.events.<domain> import EVENT_CONSTANT.
Applied to files:
tests/unit/observability/test_events.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/api/**/*.py : API package (api/): Litestar REST + WebSocket with controllers, guards, channels, JWT + API key + WS ticket auth, approval gate integration, coordination endpoint, collaboration endpoint, settings endpoint, provider management endpoint (CRUD + test + presets), backup endpoint, RFC 9457 structured errors, AppState hot-reload slots, service auto-wiring (Phase 1 at construction, Phase 2 on startup), lifecycle helpers
Applied to files:
src/synthorg/api/controllers/__init__.pyCLAUDE.mdsrc/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/**/*.py : Package structure: src/synthorg/ organized as: api/ (REST+WebSocket, Litestar), auth/ (auth subpackage), backup/ (scheduled/manual backups), budget/ (cost tracking, CFO), cli/ (superseded by Go CLI), communication/ (message bus, meetings), config/ (YAML loading), core/ (domain models, resilience config), engine/ (orchestration, task state, coordination, approval gates, stagnation detection, context budget, compaction), hr/ (hiring, performance, promotion), memory/ (pluggable backend, Mem0, retrieval, consolidation), persistence/ (operational data, SQLite, settings), observability/ (logging, correlation, sinks), providers/ (LLM abstraction, LiteLLM, auth types, presets, runtime CRUD), settings/ (runtime-editable, typed definitions, encryption, config bridge), security/ (SecOps, rule engine, output scanning, progressive trust, autonomy levels), templates/ (company templates, personalities), tools/ (registry, built-in tools, git, sandbox, code_runner, MCP...
Applied to files:
src/synthorg/api/controllers/__init__.pyCLAUDE.mdsrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/engine/coordination/**/*.py : Task coordination uses multi-agent pipeline with 4 dispatchers (SAS/centralized/decentralized/context-dependent), wave execution, and workspace lifecycle integration.
Applied to files:
src/synthorg/api/controllers/__init__.pydocs/design/engine.mdsrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/api/**/*.py : REST API: Litestar framework, controllers with guards, channels for WebSocket, JWT + API key + WS ticket auth, approval gate integration, coordination endpoint, collaboration endpoint, settings endpoint. RFC 9457 structured errors (ErrorCategory, ErrorCode, ErrorDetail, ProblemDetail, CATEGORY_TITLES, category_title, category_type_uri, content negotiation).
Applied to files:
src/synthorg/api/controllers/__init__.pyCLAUDE.mdsrc/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/persistence/**/*.py : Persistence uses pluggable PersistenceBackend protocol. SQLite is the initial backend. Settings use SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/protocol.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Persistence backend: pluggable PersistenceBackend protocol in `src/synthorg/persistence/`, SQLite initial, SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/protocol.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-26T15:18:16.848Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-26T15:18:16.848Z
Learning: Applies to src/synthorg/api/**/*.py : Litestar API must include setup wizard, auth/, auto-wiring, and lifecycle management
Applied to files:
CLAUDE.md
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/api/**/*.py : Use Litestar for REST + WebSocket API. Controllers, guards, channels, JWT + API key + WS ticket auth, RFC 9457 structured errors.
Applied to files:
CLAUDE.md
📚 Learning: 2026-03-20T08:28:32.845Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T08:28:32.845Z
Learning: Applies to src/synthorg/providers/**/*.py : Providers: LLM provider abstraction (LiteLLM adapter), auth types (api_key/oauth/custom_header/none), presets (PROVIDER_PRESETS), runtime CRUD (ProviderManagementService with asyncio.Lock serialization), hot-reload via AppState swap.
Applied to files:
CLAUDE.md
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/security/**/*.py : Security package (security/): SecOps agent, rule engine (soft-allow/hard-deny, fail-closed), audit log, output scanner, output scan response policies (redact/withhold/log-only/autonomy-tiered), risk classifier, risk tier classifier, action type registry, ToolInvoker security integration, progressive trust (4 strategies), autonomy levels (presets, resolver, change strategy), timeout policies (park/resume)
Applied to files:
CLAUDE.md
📚 Learning: 2026-04-01T17:49:14.133Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-01T17:49:14.133Z
Learning: Applies to src/synthorg/{providers,engine}/**/*.py : Retryable errors are `RateLimitError`, `ProviderTimeoutError`, `ProviderConnectionError`, `ProviderInternalError`; non-retryable errors raise immediately; `RetryExhaustedError` signals all retries failed
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to src/synthorg/engine/**/*.py : `RetryExhaustedError` signals that all retries failed—the engine layer catches this to trigger fallback chains.
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-19T11:33:01.580Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T11:33:01.580Z
Learning: Applies to src/synthorg/**/*.py : Log all error paths at WARNING or ERROR with context before raising; log all state transitions at INFO; log object creation/internal flow/entry-exit at DEBUG
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-31T20:07:03.035Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T20:07:03.035Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising; all state transitions must log at INFO; DEBUG for object creation, internal flow, entry/exit of key functions
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-16T07:22:28.134Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T07:22:28.134Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, and key function entry/exit
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-16T19:13:34.746Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T19:13:34.746Z
Learning: Applies to src/synthorg/providers/**/*.py : Retryable errors (is_retryable=True): RateLimitError, ProviderTimeoutError, ProviderConnectionError, ProviderInternalError. Non-retryable errors raise immediately without retry. RetryExhaustedError signals that all retries failed — the engine layer catches this to trigger fallback chains.
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, entry/exit of key functions.
Applied to files:
src/synthorg/engine/errors.py
📚 Learning: 2026-03-19T07:13:44.964Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:13:44.964Z
Learning: Applies to src/synthorg/hr/**/*.py : HR package (hr/): hiring, firing, onboarding, offboarding, agent registry, performance tracking (task metrics, collaboration scoring, LLM calibration, collaboration overrides, trend detection), promotion/demotion (criteria evaluation, approval strategies, model mapping)
Applied to files:
tests/unit/persistence/test_protocol.py
📚 Learning: 2026-03-15T18:28:13.207Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:28:13.207Z
Learning: Applies to src/synthorg/**/*.py : Event names: always use constants from domain-specific modules under synthorg.observability.events (e.g., PROVIDER_CALL_START from events.provider, BUDGET_RECORD_ADDED from events.budget, etc.). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `PROVIDER_CALL_START` from `events.provider`); import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`
Applied to files:
src/synthorg/observability/events/persistence.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.py
📚 Learning: 2026-03-20T21:44:04.528Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T21:44:04.528Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (via `model_copy(update=...)`) for runtime state that evolves
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (using model_copy(update=...)) for runtime state that evolves. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_models.py
🪛 LanguageTool
docs/design/engine.md
[grammar] ~236-~236: Ensure spelling is correct
Context: ...aph topology. The TaskEngine's existing status machine handles execution ordering. **...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🔇 Additional comments (22)
src/synthorg/engine/errors.py (1)
156-169: Clean workflow exception taxonomy.The new hierarchy is clear and aligns with distinct workflow failure modes (definition invalid, condition evaluation, not found).
tests/unit/engine/workflow/test_graph_utils.py (1)
1-108: Strong graph utility coverage for activation-critical paths.These tests cover the right success and failure topologies and protect core ordering/cycle behavior.
docs/DESIGN_SPEC.md (1)
17-17: Design index update is aligned with the new engine capabilities.Good addition to keep the spec pointer accurate for workflow execution features.
tests/unit/observability/test_events.py (1)
231-231: Expected event-domain list correctly includesworkflow_execution.This keeps discovery assertions in sync with the new observability module.
src/synthorg/api/controllers/__init__.py (1)
35-37: Controller registration wiring is complete.
WorkflowExecutionControlleris correctly imported, mounted viaALL_CONTROLLERS, and exported.Also applies to: 69-70, 102-103
src/synthorg/persistence/protocol.py (1)
36-38: Protocol extension is clean and consistent.Adding
WorkflowExecutionRepositoryand exposingworkflow_executionsonPersistenceBackendmatches the existing repository-access pattern and keeps the contract coherent.Also applies to: 215-218
tests/unit/persistence/sqlite/test_migrations.py (1)
35-36: Schema expectation updates are correct.The added table/index expectations correctly track the new
workflow_executionsDDL and keep migration validation coverage intact.Also applies to: 81-87
tests/unit/api/fakes.py (1)
36-39: Fake backend contract parity is properly maintained.The new workflow-execution fake repository wiring keeps test doubles aligned with the persistence backend interface.
Also applies to: 582-583, 698-700
src/synthorg/engine/workflow/yaml_export.py (1)
13-16: Good deduplication to shared graph utilities.Switching to
graph_utilskeeps behavior intact while removing duplicated graph logic and improving maintainability.Also applies to: 191-191, 194-197
CLAUDE.md (1)
91-91: Documentation updates are aligned with the feature scope.The package-structure entries now clearly reflect workflow execution support across API, engine, and persistence.
Also applies to: 98-98, 101-101
src/synthorg/persistence/sqlite/backend.py (1)
70-72: SQLite backend integration for workflow executions is correctly wired.Initialization, cleanup, repository creation, and connected-state guarding are all consistently implemented for the new repository.
Also applies to: 113-113, 136-136, 220-220, 496-506
tests/unit/persistence/test_protocol.py (1)
8-11: Protocol compliance tests were extended appropriately.The fake workflow execution repository and backend accessor additions provide the expected coverage for the new persistence protocol surface.
Also applies to: 38-38, 394-418, 517-520, 605-611
src/synthorg/core/enums.py (1)
325-351: New workflow execution enums look solid.The lifecycle and node-level status enums are well-scoped and clearly documented for cross-layer reuse.
src/synthorg/observability/events/workflow_execution.py (1)
1-48: Well-structured observability event constants.The event naming follows the established domain convention (
workflow.execution.*), and the module is correctly organized with clear categorical sections. No logging is required for pure constant modules per coding guidelines.tests/unit/persistence/sqlite/test_workflow_execution_repo.py (1)
1-246: Comprehensive repository test coverage.The test suite thoroughly covers the
SQLiteWorkflowExecutionRepositorycontract including CRUD operations, JSON round-tripping ofnode_executions, optimistic concurrency enforcement, and status-specific field persistence. The fixture pattern usingmigrated_dbcorrectly isolates tests.tests/unit/api/controllers/test_workflow_executions.py (2)
60-68: Direct internal state access in test helper.The
_seed_definitionhelper directly manipulatesrepo._definitions, coupling the test to the fake repository's internal implementation. Consider whether the fake should expose a public seeding method to reduce coupling.However, this is acceptable for unit tests where test fakes are test-owned code.
237-243: Appropriate documentation of known limitation.The comment clearly explains the Python 3.14 + Litestar compatibility issue causing the segfault, and correctly points to service-level test coverage in
test_execution_service.pyas the mitigation.tests/unit/engine/workflow/test_execution_service.py (1)
97-122: FakeTaskEngine correctly captures dependencies.The fake stores
CreateTaskDatawithdependenciesand propagates them to the returnedTask, enabling proper assertion of dependency wiring in tests.src/synthorg/engine/workflow/execution_models.py (1)
1-162: Well-designed frozen models with proper validation.The models correctly implement:
frozen=Truewithallow_inf_nan=Falseper coding guidelinesNotBlankStrfor identifier fields- Cross-field validators enforcing status-dependent invariants
- Unique
node_idvalidation innode_executionsThe immutable design with
model_copy(update=...)pattern is appropriate for runtime state evolution.src/synthorg/engine/workflow/execution_service.py (2)
652-707: Cancel execution logic is correct.The implementation properly:
- Guards against cancelling terminal executions (COMPLETED, FAILED, CANCELLED)
- Uses
model_copy(update=...)for immutable state evolution- Increments version for optimistic concurrency
- Logs at INFO level per guidelines
302-318: Dependency wiring correctly implemented.
_find_upstream_task_idswalks backwards through control nodes to find concrete TASK predecessors, handling:
- Sequential dependencies (direct edge)
- Parallel merge (multiple deps after JOIN)
- Conditional branches (skipped nodes excluded via
skippedset)The dependencies are correctly passed to
CreateTaskData.src/synthorg/persistence/sqlite/workflow_execution_repo.py (1)
357-391: Delete path looks solid.This mirrors the expected write-path behavior: commit on success, rollback on failure, and a simple boolean for found vs. missing.
| context: dict[str, str | int | float | bool | None] = Field( | ||
| default_factory=dict, | ||
| max_length=64, | ||
| description="Runtime context for condition evaluation", | ||
| ) |
There was a problem hiding this comment.
context value types don’t match current condition-evaluation semantics.
At Line 668-Line 672, non-string values are allowed, but condition evaluation currently stringifies context values before comparing. This can mis-evaluate expressions (e.g., true vs True) and activate the wrong workflow branch.
Please either (a) restrict context to strings, or (b) normalize evaluator comparison semantics for booleans/null/numbers.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/api/dto.py` around lines 668 - 672, The context Field currently
allows dict[str, str | int | float | bool | None] but the evaluator stringifies
values, causing mismatches; change the Field type to dict[str, str] (i.e.,
remove int|float|bool|None from the type) and update the Field description to
state values must be strings, and add/adjust any pydantic validators on the same
model/class to coerce or reject non-string inputs for the context field (refer
to the context Field definition in src/synthorg/api/dto.py and any model
validators that touch context).
| @pytest.mark.unit | ||
| def test_true_literal(self) -> None: | ||
| assert evaluate_condition("true", {}) is True | ||
|
|
||
| @pytest.mark.unit | ||
| def test_false_literal(self) -> None: | ||
| assert evaluate_condition("false", {}) is False | ||
|
|
||
| @pytest.mark.unit | ||
| def test_true_case_insensitive(self) -> None: | ||
| assert evaluate_condition("True", {}) is True | ||
|
|
||
| @pytest.mark.unit | ||
| def test_false_case_insensitive(self) -> None: | ||
| assert evaluate_condition("FALSE", {}) is False | ||
|
|
||
| # ── Key lookup (truthy check) ───────────────────────────────── | ||
|
|
||
| @pytest.mark.unit | ||
| def test_key_truthy_string(self) -> None: | ||
| assert evaluate_condition("has_budget", {"has_budget": "yes"}) is True | ||
|
|
||
| @pytest.mark.unit | ||
| def test_key_truthy_true(self) -> None: | ||
| assert evaluate_condition("enabled", {"enabled": True}) is True | ||
|
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||
| @pytest.mark.unit | ||
| def test_key_truthy_nonzero(self) -> None: | ||
| assert evaluate_condition("count", {"count": 5}) is True | ||
|
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||
| @pytest.mark.unit | ||
| def test_key_falsy_false(self) -> None: | ||
| assert evaluate_condition("enabled", {"enabled": False}) is False | ||
|
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| @pytest.mark.unit | ||
| def test_key_falsy_zero(self) -> None: | ||
| assert evaluate_condition("count", {"count": 0}) is False | ||
|
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| @pytest.mark.unit | ||
| def test_key_falsy_empty_string(self) -> None: | ||
| assert evaluate_condition("name", {"name": ""}) is False | ||
|
|
||
| @pytest.mark.unit | ||
| def test_key_falsy_none(self) -> None: | ||
| assert evaluate_condition("val", {"val": None}) is False | ||
|
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| @pytest.mark.unit | ||
| def test_missing_key_returns_false(self) -> None: | ||
| assert evaluate_condition("missing", {}) is False | ||
|
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| # ── Equality comparison ─────────────────────────────────────── | ||
|
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| @pytest.mark.unit | ||
| def test_equality_match(self) -> None: | ||
| assert ( | ||
| evaluate_condition( | ||
| "priority == high", | ||
| {"priority": "high"}, | ||
| ) | ||
| is True | ||
| ) | ||
|
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||
| @pytest.mark.unit | ||
| def test_equality_mismatch(self) -> None: | ||
| assert ( | ||
| evaluate_condition( | ||
| "priority == high", | ||
| {"priority": "low"}, | ||
| ) | ||
| is False | ||
| ) | ||
|
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| @pytest.mark.unit | ||
| def test_equality_missing_key(self) -> None: | ||
| assert evaluate_condition("env == prod", {}) is False | ||
|
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| @pytest.mark.unit | ||
| def test_equality_extra_spaces(self) -> None: | ||
| assert ( | ||
| evaluate_condition( | ||
| " env == staging ", | ||
| {"env": "staging"}, | ||
| ) | ||
| is True | ||
| ) | ||
|
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| # ── Inequality comparison ───────────────────────────────────── | ||
|
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| @pytest.mark.unit | ||
| def test_inequality_match(self) -> None: | ||
| assert ( | ||
| evaluate_condition( | ||
| "env != prod", | ||
| {"env": "staging"}, | ||
| ) | ||
| is True | ||
| ) | ||
|
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||
| @pytest.mark.unit | ||
| def test_inequality_mismatch(self) -> None: | ||
| assert ( | ||
| evaluate_condition( | ||
| "env != prod", | ||
| {"env": "prod"}, | ||
| ) | ||
| is False | ||
| ) | ||
|
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| @pytest.mark.unit | ||
| def test_inequality_missing_key(self) -> None: | ||
| assert evaluate_condition("env != prod", {}) is True | ||
|
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| # ── Whitespace handling ─────────────────────────────────────── | ||
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| @pytest.mark.unit | ||
| def test_whitespace_stripped(self) -> None: | ||
| assert evaluate_condition(" true ", {}) is True | ||
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| @pytest.mark.unit | ||
| def test_key_whitespace_stripped(self) -> None: | ||
| assert evaluate_condition(" enabled ", {"enabled": True}) is True | ||
|
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| # ── Empty and invalid expressions ───────────────────────────── | ||
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| @pytest.mark.unit | ||
| def test_empty_expression_returns_false(self) -> None: | ||
| assert evaluate_condition("", {}) is False | ||
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| @pytest.mark.unit | ||
| def test_whitespace_only_returns_false(self) -> None: | ||
| assert evaluate_condition(" ", {}) is False | ||
|
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| # ── Safety: no code execution ───────────────────────────────── | ||
|
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| @pytest.mark.unit | ||
| def test_import_expression_treated_as_key(self) -> None: | ||
| """Dangerous expressions are just treated as key lookups.""" | ||
| assert evaluate_condition("__import__('os')", {}) is False | ||
|
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| @pytest.mark.unit | ||
| def test_eval_expression_treated_as_key(self) -> None: | ||
| assert evaluate_condition("eval('1+1')", {}) is False |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Refactor repeated cases into parametrized tests.
Coverage is good, but the many near-identical test bodies make this harder to maintain. Please collapse similar cases (literals, truthy/falsy lookups, comparison variants) with @pytest.mark.parametrize.
As per coding guidelines, “Prefer @pytest.mark.parametrize for testing similar cases in Python tests.”
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@tests/unit/engine/workflow/test_condition_eval.py` around lines 13 - 154,
Collapse repetitive test cases by converting them to parameterized tests that
call evaluate_condition with varying inputs and expected outputs; for example,
replace
test_true_literal/test_false_literal/test_true_case_insensitive/test_false_case_insensitive
with a single `@pytest.mark.parametrize` over the literal strings and expected
booleans, group the key-lookup truthy/falsy tests (test_key_truthy_string,
test_key_truthy_true, test_key_truthy_nonzero, test_key_falsy_false,
test_key_falsy_zero, test_key_falsy_empty_string, test_key_falsy_none,
test_missing_key_returns_false) into one parametrize that passes the condition
string, context dict, and expected boolean, and similarly collapse
equality/inequality variants (test_equality_match, test_equality_mismatch,
test_equality_missing_key, test_equality_extra_spaces, test_inequality_match,
test_inequality_mismatch, test_inequality_missing_key) into parametrize cases;
keep distinct checks like whitespace-only, empty, and safety tests as-is but
ensure all new parametrize decorators reference evaluate_condition and include
descriptive ids for readability.
There was a problem hiding this comment.
Actionable comments posted: 10
♻️ Duplicate comments (1)
src/synthorg/persistence/sqlite/workflow_execution_repo.py (1)
48-49:⚠️ Potential issue | 🟠 MajorSurface list truncation instead of silently dropping older executions.
The
LIMITis still unconditional, but the repository contract returns a plain tuple of “matching executions.” Once a definition or status crosses_MAX_LIST_ROWS, callers get partial data with no way to detect it.Either paginate these methods or change the contract to return truncation metadata or raise when the cap is exceeded.
Also applies to: 337-340, 379-382
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py` around lines 48 - 49, The repository currently applies an unconditional LIMIT using _MAX_LIST_ROWS in the list methods which silently drops older executions; update the list methods (e.g., list_by_definition, list_by_status, list_all) to detect truncation and surface it instead of silently truncating: run a COUNT(*) (or otherwise detect > _MAX_LIST_ROWS) and either (A) change the return contract to include truncation metadata (e.g., return (rows, total_count or truncated: bool)) or (B) raise a specific TruncationError when the cap is exceeded, and update all callers/tests to handle the new contract; keep the _MAX_LIST_ROWS safety cap but ensure callers can detect or paginate results rather than losing data silently.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@src/synthorg/api/controllers/workflow_executions.py`:
- Around line 143-157: The code logs a PersistenceError using the wrong event
constant WORKFLOW_EXEC_NOT_FOUND; update the logger.exception call in the except
block for PersistenceError raised by service.list_executions to use a
persistence/internal error event constant (e.g., WORKFLOW_EXEC_PERSISTENCE_ERROR
or a generic INTERNAL_PERSISTENCE_ERROR) instead of WORKFLOW_EXEC_NOT_FOUND, and
ensure the new constant is imported/defined and used with the same structured
fields (workflow_id, error, note) in the logger.exception invocation.
- Around line 188-227: The cancel_execution handler currently catches
WorkflowExecutionNotFoundError and conflict errors but omits PersistenceError
from service.cancel_execution; add an except PersistenceError as exc branch in
cancel_execution to log the persistence failure (include execution_id and
str(exc)) and return a Response containing
ApiResponse[WorkflowExecution](error=str(exc)) with a 500 status_code so
repository save failures are surfaced correctly.
- Around line 164-186: The get_execution handler currently calls
service.get_execution without catching PersistenceError (unlike list_executions
and activate_workflow); wrap the call to service.get_execution inside a
try/except that catches PersistenceError, log the error with context (include
execution_id and the caught exception, not just WORKFLOW_EXEC_NOT_FOUND) and
re-raise an InternalServerError (or the project's equivalent) with a brief
message so the client gets a controlled 500 response; update get_execution to
mirror the PersistenceError handling pattern used in
list_executions/activate_workflow and reference get_execution,
service.get_execution, PersistenceError, WORKFLOW_EXEC_NOT_FOUND in your
changes.
- Around line 113-125: The logger is using the wrong event constant for a
storage error: in the except PersistenceError block replace
WORKFLOW_EXEC_INVALID_DEFINITION with the semantically correct
WORKFLOW_EXEC_FAILED so the logger.exception call (and its metadata for
workflow_id/error/note) correctly signals an activation storage failure; update
the constant used in the logger.exception invocation within the except
PersistenceError handler in workflow_executions.py to WORKFLOW_EXEC_FAILED.
In `@src/synthorg/engine/workflow/execution_models.py`:
- Around line 52-70: The validator _validate_status_fields must also reject
status=WorkflowNodeExecutionStatus.TASK_CREATED for non-task nodes; update the
method to check the node's type (e.g., self.node_type or similar field holding
WorkflowNodeType) and raise a ValueError when status is TASK_CREATED but the
node_type is not WorkflowNodeType.TASK, while keeping the existing task_id
presence/absence checks; ensure you reference
WorkflowNodeExecutionStatus.TASK_CREATED and WorkflowNodeType.TASK in the new
conditional so impossible states like START or CONDITIONAL with TASK_CREATED are
prevented.
In `@src/synthorg/engine/workflow/execution_service.py`:
- Around line 190-201: The try/except around evaluate_condition should be
removed because evaluate_condition is documented to never raise; edit the code
in execution_service.py to call result = evaluate_condition(expr, ctx) directly
(remove the except block that logs WORKFLOW_EXEC_CONDITION_EVAL_FAILED and
raises WorkflowConditionEvalError) so any unexpected exceptions propagate
normally; also remove or update any now-unused references/imports related to
WorkflowConditionEvalError, logger.exception call site, and variables
(execution_id, nid, expr) if they become unused after the change.
- Around line 644-646: Before raising WorkflowExecutionError in the unhandled
node-type branch, log the error with context (node.type, nid, and any relevant
workflow id/metadata available in the current scope) at WARNING or ERROR level;
update the block that checks "if node.type is not WorkflowNodeType.TASK" to call
the module logger (or self.logger) with a clear message including
node.type.value and nid before raising WorkflowExecutionError to satisfy the
logging guideline.
In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py`:
- Around line 251-262: When an UPDATE matches zero rows in
save_workflow_execution (cursor.rowcount == 0), the code logs and raises
VersionConflictError but does not roll back the open SQLite transaction; call
the SQLite connection's rollback() (e.g. self.conn.rollback() or the same
connection object used to get cursor) immediately before logging/raising the
VersionConflictError to clean up the write transaction, keep the
PERSISTENCE_WORKFLOW_EXEC_SAVE_FAILED log and execution_id/error fields, and add
a regression test that performs a stale save (expecting VersionConflictError)
followed by a valid save to assert the second save succeeds.
In `@tests/unit/api/fakes_workflow.py`:
- Around line 45-46: The fake save implementation currently overwrites existing
executions; change the async save(self, execution: WorkflowExecution) in
tests/unit/api/fakes_workflow.py to mirror the real repository contract: if
execution.id is not present in self._executions require execution.version == 1
and insert a deepcopy, otherwise if the id already exists then if
execution.version == 1 raise DuplicateRecordError, else load stored =
self._executions[execution.id] and require execution.version == stored.version +
1 — if not, raise VersionConflictError, otherwise advance by storing a deepcopy
of execution; use the same exception classes (DuplicateRecordError,
VersionConflictError) and the same _executions dict and WorkflowExecution type
so tests exercise insert vs update/version conflicts correctly.
In `@tests/unit/persistence/sqlite/test_workflow_execution_repo.py`:
- Around line 187-197: The test test_list_by_definition only checks membership
but not the required ordering returned by
SQLiteWorkflowExecutionRepository.list_by_definition (and similarly for
list_by_status); update the fixtures to give each _make_execution call distinct
updated_at timestamps (e.g., older/newer) and assert the returned results are in
updated_at descending order by checking the exact returned IDs sequence (use the
repository method list_by_definition and the test_list_by_definition function to
locate and change the assertions); apply the same pattern to the other test
block referenced (test_list_by_status) so ORDER BY regressions are caught.
---
Duplicate comments:
In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py`:
- Around line 48-49: The repository currently applies an unconditional LIMIT
using _MAX_LIST_ROWS in the list methods which silently drops older executions;
update the list methods (e.g., list_by_definition, list_by_status, list_all) to
detect truncation and surface it instead of silently truncating: run a COUNT(*)
(or otherwise detect > _MAX_LIST_ROWS) and either (A) change the return contract
to include truncation metadata (e.g., return (rows, total_count or truncated:
bool)) or (B) raise a specific TruncationError when the cap is exceeded, and
update all callers/tests to handle the new contract; keep the _MAX_LIST_ROWS
safety cap but ensure callers can detect or paginate results rather than losing
data silently.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Repository UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: bca7cfc2-08a0-4ffa-a02c-c54ef0226024
📒 Files selected for processing (13)
src/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/task_engine_apply.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/persistence/protocol.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/api/fakes_workflow.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/persistence/sqlite/test_workflow_execution_repo.py
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🧰 Additional context used
📓 Path-based instructions (5)
**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
**/*.py: Nofrom __future__ import annotations—Python 3.14 has PEP 649 native lazy annotations.
Use PEP 758 except syntax: useexcept A, B:(no parentheses)—ruff enforces this on Python 3.14.
All public functions must have type hints; mypy strict mode is required.
Docstrings must use Google style and are required on all public classes and functions—enforced by ruff D rules.
Create new objects instead of mutating existing ones—use immutability as the default pattern.
For non-Pydantic internal collections (registries,BaseTool), usecopy.deepcopy()at construction andMappingProxyTypewrapping for read-only enforcement.
Usemodel_copy(update=...)for runtime state that evolves; separate mutable-via-copy models from frozen Pydantic models for config/identity. Never mix static config fields with mutable runtime fields in one model.
Use Pydantic v2 (BaseModel,model_validator,computed_field,ConfigDict). Useallow_inf_nan=Falsein allConfigDictdeclarations to rejectNaN/Infin numeric fields at validation time.
Use@computed_fieldfor derived values instead of storing and validating redundant fields (e.g.TokenUsage.total_tokens).
UseNotBlankStrfromcore.typesfor all identifier/name fields—including optional (NotBlankStr | None) and tuple (tuple[NotBlankStr, ...]) variants—instead of manual whitespace validators.
Preferasyncio.TaskGroupfor fan-out/fan-in parallel operations in new code (e.g. multiple tool invocations, parallel agent calls). Prefer structured concurrency over barecreate_task. Existing code is being migrated incrementally.
Function line length limit: 88 characters; enforced by ruff.
Functions must be less than 50 lines; files must be less than 800 lines.
Handle errors explicitly; never silently swallow exceptions.
Validate at system boundaries (user input, external APIs, config files).
Logger variable name must always belogger(not_logger, notlog).
Always use structured logging with kwargs: `l...
Files:
src/synthorg/engine/task_engine_apply.pysrc/synthorg/persistence/protocol.pysrc/synthorg/engine/workflow/condition_eval.pytests/unit/api/fakes_workflow.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/engine/workflow/test_execution_models.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/engine/workflow/test_execution_service.pytests/unit/engine/workflow/conftest.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.py
src/synthorg/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
src/synthorg/**/*.py: Every module with business logic MUST have:from synthorg.observability import get_loggerthenlogger = get_logger(__name__).
Never useimport logging/logging.getLogger()/print()in application code. Exception:observability/setup.py,observability/sinks.py,observability/syslog_handler.py, andobservability/http_handler.pymay use stdlibloggingandprint(..., file=sys.stderr)for handler construction and bootstrap.
Always use event name constants from domain-specific modules undersynthorg.observability.events(e.g.,API_REQUEST_STARTEDfromevents.api,TOOL_INVOKE_STARTfromevents.tool). Import directly:from synthorg.observability.events.<domain> import EVENT_CONSTANT.
Never use real vendor names (Anthropic, OpenAI, Claude, GPT, etc.) in project-owned code, docstrings, comments, tests, or config examples. Use generic names:example-provider,example-large-001,example-medium-001,example-small-001. Vendor names may only appear in: (1) Operations design page, (2).claude/files, (3) third-party import paths, (4) provider presets. Tests must usetest-provider,test-small-001, etc.
Files:
src/synthorg/engine/task_engine_apply.pysrc/synthorg/persistence/protocol.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.py
src/synthorg/engine/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
RetryExhaustedErrorsignals that all retries failed—the engine layer catches this to trigger fallback chains.
Files:
src/synthorg/engine/task_engine_apply.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
src/**/*.py
⚙️ CodeRabbit configuration file
This project uses Python 3.14+ with PEP 758 except syntax: "except A, B:" (comma-separated, no parentheses) is correct and mandatory -- do NOT flag it as a typo or suggest parenthesized form. The "except builtins.MemoryError, RecursionError: raise" pattern is intentional project convention for system-error propagation. When evaluating the 50-line function limit, count only the function body excluding the signature lines, decorators, and docstring. Functions 1-5 lines over due to docstrings or multi-line signatures should not be flagged. Do not suggest extracting single-use helper functions called exactly once -- this reduces readability without improving maintainability.
Files:
src/synthorg/engine/task_engine_apply.pysrc/synthorg/persistence/protocol.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/engine/workflow/execution_service.py
tests/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
tests/**/*.py: Use pytest markers:@pytest.mark.unit,@pytest.mark.integration,@pytest.mark.e2e,@pytest.mark.slow.
Prefer@pytest.mark.parametrizefor testing similar cases in Python tests.
Never use real vendor names (Anthropic, OpenAI, Claude, GPT, etc.) in project-owned code, docstrings, comments, tests, or config examples. Use generic names in tests:test-provider,test-small-001, etc.
Use Hypothesis for property-based testing in Python with@givenand@settingsdecorators. Hypothesis profiles:ci(50 examples, default) anddev(1000 examples). Run dev profile:HYPOTHESIS_PROFILE=dev uv run python -m pytest tests/ -m unit -n 8 -k properties.
Never skip, dismiss, or ignore flaky tests—always fix them fully and fundamentally. For timing-sensitive tests, mocktime.monotonic()andasyncio.sleep()to make them deterministic. For tasks that must block indefinitely until cancelled, useasyncio.Event().wait()instead ofasyncio.sleep(large_number).
Files:
tests/unit/api/fakes_workflow.pytests/unit/engine/workflow/test_execution_models.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/engine/workflow/test_execution_service.pytests/unit/engine/workflow/conftest.py
⚙️ CodeRabbit configuration file
Test files do not require Google-style docstrings on classes or functions -- ruff D rules are only enforced on src/. A bare
@settings() decorator with no arguments on Hypothesis property tests is a no-op and should not be suggested -- the HYPOTHESIS_PROFILE env var controls example counts via registered profiles, which@given() honors automatically.
Files:
tests/unit/api/fakes_workflow.pytests/unit/engine/workflow/test_execution_models.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/engine/workflow/test_execution_service.pytests/unit/engine/workflow/conftest.py
🧠 Learnings (40)
📓 Common learnings
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
Applied to files:
src/synthorg/engine/task_engine_apply.pytests/unit/engine/workflow/test_execution_service.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/persistence/**/*.py : Persistence uses pluggable PersistenceBackend protocol. SQLite is the initial backend. Settings use SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/protocol.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Persistence backend: pluggable PersistenceBackend protocol in `src/synthorg/persistence/`, SQLite initial, SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/protocol.pysrc/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to src/synthorg/memory/**/*.py : Use MemoryBackend protocol with pluggable backends (Mem0 adapter available at backends/mem0/) for persistent agent memory
Applied to files:
src/synthorg/persistence/protocol.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/**/*.py : Package structure: src/synthorg/ organized as: api/ (REST+WebSocket, Litestar), auth/ (auth subpackage), backup/ (scheduled/manual backups), budget/ (cost tracking, CFO), cli/ (superseded by Go CLI), communication/ (message bus, meetings), config/ (YAML loading), core/ (domain models, resilience config), engine/ (orchestration, task state, coordination, approval gates, stagnation detection, context budget, compaction), hr/ (hiring, performance, promotion), memory/ (pluggable backend, Mem0, retrieval, consolidation), persistence/ (operational data, SQLite, settings), observability/ (logging, correlation, sinks), providers/ (LLM abstraction, LiteLLM, auth types, presets, runtime CRUD), settings/ (runtime-editable, typed definitions, encryption, config bridge), security/ (SecOps, rule engine, output scanning, progressive trust, autonomy levels), templates/ (company templates, personalities), tools/ (registry, built-in tools, git, sandbox, code_runner, MCP...
Applied to files:
src/synthorg/persistence/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Applied to files:
tests/unit/engine/workflow/test_execution_service.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-20T21:44:04.528Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T21:44:04.528Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (via `model_copy(update=...)`) for runtime state that evolves
Applied to files:
src/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state
Applied to files:
src/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (using model_copy(update=...)) for runtime state that evolves. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:42:17.990Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:42:17.990Z
Learning: Applies to src/synthorg/**/*.py : Use Pydantic v2 conventions: `BaseModel`, `model_validator`, `computed_field`, `ConfigDict`
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/**/*.py : Use Pydantic v2 conventions: `BaseModel`, `model_validator`, `computed_field`, `ConfigDict`. For derived values use `computed_field` instead of storing + validating redundant fields. Use `NotBlankStr` (from `core.types`) for all identifier/name fields — including optional (`NotBlankStr | None`) and tuple (`tuple[NotBlankStr, ...]`) variants — instead of manual whitespace validators.
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use Pydantic v2 BaseModel, model_validator, computed_field, ConfigDict.
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-04-01T09:37:49.451Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-01T09:37:49.451Z
Learning: Applies to **/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models with `model_copy(update=...)` for runtime state that evolves
Applied to files:
src/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use Pydantic v2 with adopted conventions: use computed_field for derived values instead of storing + validating redundant fields; use NotBlankStr from core.types for all identifier/name fields (including optional and tuple variants) instead of manual whitespace validators.
Applied to files:
src/synthorg/engine/workflow/execution_models.py
📚 Learning: 2026-03-20T08:28:32.845Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T08:28:32.845Z
Learning: Applies to **/*.py : Config vs runtime state: use frozen Pydantic models for config/identity; separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/api/**/*.py : API package (api/): Litestar REST + WebSocket with controllers, guards, channels, JWT + API key + WS ticket auth, approval gate integration, coordination endpoint, collaboration endpoint, settings endpoint, provider management endpoint (CRUD + test + presets), backup endpoint, RFC 9457 structured errors, AppState hot-reload slots, service auto-wiring (Phase 1 at construction, Phase 2 on startup), lifecycle helpers
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/api/**/*.py : REST API: Litestar framework, controllers with guards, channels for WebSocket, JWT + API key + WS ticket auth, approval gate integration, coordination endpoint, collaboration endpoint, settings endpoint. RFC 9457 structured errors (ErrorCategory, ErrorCode, ErrorDetail, ProblemDetail, CATEGORY_TITLES, category_title, category_type_uri, content negotiation).
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-18T21:23:23.586Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-18T21:23:23.586Z
Learning: Applies to src/synthorg/**/*.py : Event names: always use constants from the domain-specific module under synthorg.observability.events (e.g., API_REQUEST_STARTED from events.api, TOOL_INVOKE_START from events.tool). Import directly from synthorg.observability.events.<domain>.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-31T16:09:24.320Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T16:09:24.320Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from `synthorg.observability.events.<domain>` modules (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`); import directly and use in structured logging
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-15T18:28:13.207Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:28:13.207Z
Learning: Applies to src/synthorg/**/*.py : Event names: always use constants from domain-specific modules under synthorg.observability.events (e.g., PROVIDER_CALL_START from events.provider, BUDGET_RECORD_ADDED from events.budget, etc.). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `PROVIDER_CALL_START` from `events.provider`); import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-20T11:18:48.128Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T11:18:48.128Z
Learning: Applies to src/synthorg/**/*.py : Use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`). Import directly: `from synthorg.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-20T21:44:04.528Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T21:44:04.528Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from domain-specific modules under `synthorg.observability.events` (e.g., `API_REQUEST_STARTED` from `events.api`, `TOOL_INVOKE_START` from `events.tool`); import directly rather than using string literals
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-19T11:33:01.580Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T11:33:01.580Z
Learning: Applies to src/synthorg/**/*.py : Use event constants from `synthorg.observability.events.<domain>` (e.g., `API_REQUEST_STARTED` from `events.api`); import directly and log with structured kwargs: `logger.info(EVENT, key=value)`, never interpolated strings
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to src/synthorg/**/*.py : Always use event name constants from the domain-specific module under `synthorg.observability.events` in logging calls
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-14T16:18:57.267Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T16:18:57.267Z
Learning: Applies to src/ai_company/!(observability)/**/*.py : Use event name constants from domain-specific modules under `ai_company.observability.events` (e.g., `PROVIDER_CALL_START` from `events.provider`). Import directly: `from ai_company.observability.events.<domain> import EVENT_CONSTANT`.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-14T16:18:57.267Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T16:18:57.267Z
Learning: Applies to src/ai_company/!(observability)/**/*.py : All error paths must log at WARNING or ERROR with context before raising.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-15T16:55:07.730Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T16:55:07.730Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, entry/exit of key functions.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-16T06:24:56.341Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T06:24:56.341Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-16T07:22:28.134Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T07:22:28.134Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, and key function entry/exit
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-31T20:07:03.035Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T20:07:03.035Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising; all state transitions must log at INFO; DEBUG for object creation, internal flow, entry/exit of key functions
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T06:43:14.114Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:43:14.114Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, entry/exit of key functions. Pure data models, enums, and re-exports do NOT need logging.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to **/*.py : All error paths must log at WARNING or ERROR with context before raising.
Applied to files:
src/synthorg/api/controllers/workflow_executions.py
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/engine/coordination/**/*.py : Task coordination uses multi-agent pipeline with 4 dispatchers (SAS/centralized/decentralized/context-dependent), wave execution, and workspace lifecycle integration.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to **/*.py : Use `model_copy(update=...)` for runtime state that evolves; separate mutable-via-copy models from frozen Pydantic models for config/identity. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to **/*.py : Config vs runtime state: frozen Pydantic models for config/identity; separate mutable-via-copy models (using model_copy(update=...)) for runtime state that evolves. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-04-03T13:34:37.835Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T13:34:37.835Z
Learning: Applies to **/*.py : Functions must be less than 50 lines; files must be less than 800 lines.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
🔇 Additional comments (14)
src/synthorg/engine/workflow/condition_eval.py (1)
1-88: LGTM!The condition evaluator is well-designed with clear documentation of supported expressions. The fix for malformed comparisons (lines 43-44) properly guards against empty key/value scenarios. The deliberate choice to never raise exceptions is documented and implemented consistently throughout.
tests/unit/engine/workflow/conftest.py (2)
14-28: LGTM!The
__all__export list now correctly includes all helper functions includingmake_task_node_full. The new factory helpers are well-structured with consistent patterns and sensible defaults for workflow test scenarios.
119-193: LGTM!The new node factory helpers (
make_task_node_full,make_conditional_node,make_split_node,make_join_node,make_assignment_node) provide clean, consistent test utilities that match the node types and config structures expected by the execution service.tests/unit/engine/workflow/test_execution_service.py (5)
269-277: LGTM!The dependency assertion is now correctly implemented -
assert task_a_id in data_b.dependenciesvalidates that sequential task dependencies are properly wired throughCreateTaskData.dependencies.
335-340: LGTM!Parallel merge dependencies are now properly verified -
task-ccorrectly depends on bothtask-aandtask-bfrom the parallel branches after the JOIN node.
42-123: LGTM!The fake implementations (
FakeDefinitionRepo,FakeExecutionRepo,FakeTaskEngine) correctly usecopy.deepcopy()to maintain immutability and prevent test pollution across invocations.FakeTaskEngineproperly recordsCreateTaskDataincluding thedependenciesfield for assertion.
343-438: LGTM!Conditional branching tests thoroughly verify both true and false branch scenarios, correctly asserting that the taken branch has
TASK_CREATEDstatus while the untaken branch isSKIPPED.
579-651: LGTM!Cancellation tests properly cover: successful cancellation with
completed_attimestamp, not-found error handling, and rejection of already-cancelled executions withWorkflowExecutionError.src/synthorg/api/controllers/workflow_executions.py (1)
35-45: LGTM!The
_extract_usernamehelper properly logs a warning when falling back to the default"api"username, providing observability for authentication edge cases.src/synthorg/engine/workflow/execution_service.py (5)
87-118: LGTM!The
_find_upstream_task_idsfunction correctly walks backwards through the graph, skipping control nodes and skipped branches, to find actual TASK predecessors for dependency wiring. The BFS approach with visited tracking prevents infinite loops.
121-152: LGTM!The
_find_skipped_nodesfunction correctly identifies nodes reachable only through the untaken conditional branch by computing the set difference between untaken-reachable and taken-reachable nodes.
247-291: LGTM!The extracted
_parse_task_confighelper cleanly separates config parsing logic with proper fallback handling and warning logs for unrecognized enum values. This addresses the previous review comment about function length.
690-752: LGTM!The
cancel_executionmethod correctly implements:
- Not-found error with logging before raise
- Terminal status validation with logging before raise
- Immutable state update via
model_copy(update=...)- Version increment for optimistic concurrency
400-481: LGTM!The
activatemethod properly orchestrates the workflow execution: loading/validating the definition, building graph structures, walking nodes in topological order, and persisting the execution. The separation into helper methods keeps the main flow readable.
| except PersistenceError as exc: | ||
| logger.exception( | ||
| WORKFLOW_EXEC_INVALID_DEFINITION, | ||
| workflow_id=workflow_id, | ||
| error=str(exc), | ||
| note="persistence failure during activation", | ||
| ) | ||
| return Response( | ||
| content=ApiResponse[WorkflowExecution]( | ||
| error="Workflow activation failed due to a storage error.", | ||
| ), | ||
| status_code=500, | ||
| ) |
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Use a semantically appropriate event constant for persistence failures during activation.
WORKFLOW_EXEC_INVALID_DEFINITION indicates "workflow definition failed validation," not storage errors. Use WORKFLOW_EXEC_FAILED instead, which is semantically correct for when activation fails due to a storage error.
🔧 Suggested fix
except PersistenceError as exc:
logger.exception(
- WORKFLOW_EXEC_INVALID_DEFINITION,
+ WORKFLOW_EXEC_FAILED,
workflow_id=workflow_id,
error=str(exc),
- note="persistence failure during activation",
+ operation="activate",
)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/api/controllers/workflow_executions.py` around lines 113 - 125,
The logger is using the wrong event constant for a storage error: in the except
PersistenceError block replace WORKFLOW_EXEC_INVALID_DEFINITION with the
semantically correct WORKFLOW_EXEC_FAILED so the logger.exception call (and its
metadata for workflow_id/error/note) correctly signals an activation storage
failure; update the constant used in the logger.exception invocation within the
except PersistenceError handler in workflow_executions.py to
WORKFLOW_EXEC_FAILED.
| try: | ||
| result = evaluate_condition(expr, ctx) | ||
| except (ValueError, TypeError, KeyError) as exc: | ||
| logger.exception( | ||
| WORKFLOW_EXEC_CONDITION_EVAL_FAILED, | ||
| execution_id=execution_id, | ||
| node_id=nid, | ||
| expression=expr, | ||
| error=str(exc), | ||
| ) | ||
| msg = f"Failed to evaluate condition on node {nid!r}: {exc}" | ||
| raise WorkflowConditionEvalError(msg) from exc |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Exception handling may be unnecessary.
The evaluate_condition function is documented (line 18-19 in condition_eval.py) as never raising exceptions: "This function does not raise -- all edge cases resolve to a boolean." The try/except block here catches exceptions that shouldn't occur.
This defensive code is harmless but could mask bugs if evaluate_condition is later modified to raise. Consider either:
- Removing the try/except since the contract says it won't raise
- Keeping it as defense-in-depth but adding a comment explaining why
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/engine/workflow/execution_service.py` around lines 190 - 201,
The try/except around evaluate_condition should be removed because
evaluate_condition is documented to never raise; edit the code in
execution_service.py to call result = evaluate_condition(expr, ctx) directly
(remove the except block that logs WORKFLOW_EXEC_CONDITION_EVAL_FAILED and
raises WorkflowConditionEvalError) so any unexpected exceptions propagate
normally; also remove or update any now-unused references/imports related to
WorkflowConditionEvalError, logger.exception call site, and variables
(execution_id, nid, expr) if they become unused after the change.
Activate a workflow definition to create concrete Task instances from the graph's TASK nodes, with inter-task dependencies wired from the graph topology. Eager instantiation strategy: all tasks on reachable paths are created upfront at activation time. New modules: - execution_models.py: WorkflowExecution + WorkflowNodeExecution models - execution_service.py: WorkflowExecutionService with activate/get/list/cancel - condition_eval.py: safe condition expression evaluator (no eval/exec) - graph_utils.py: extracted topological_sort + build_adjacency_maps from yaml_export - workflow_execution_repo.py: repository protocol + SQLite implementation - workflow_executions.py: API controller (activate, list, get, cancel) Node handling: - TASK nodes -> concrete tasks via TaskEngine.create_task() - Sequential edges -> Task.dependencies - Parallel split/join -> concurrent tasks with proper dependency wiring - Conditional nodes -> evaluated at activation time, untaken branch skipped - Agent assignment nodes -> metadata applied to downstream tasks Closes #1004
Pre-reviewed by 16 agents, 33 findings addressed: Critical fixes: - Wire _find_upstream_task_ids return value into CreateTaskData.dependencies - Add status guard to cancel_execution (reject terminal executions) - Add cross-field validators on WorkflowNodeExecution and WorkflowExecution - Update CLAUDE.md Package Structure for workflow execution modules Major fixes: - Use model_copy(update=...) instead of model_dump/model_validate in cancel - Extract user identity in cancel endpoint (was hardcoded as 'api') - Narrow except Exception to (ValueError, TypeError, KeyError) in condition eval - Add API error handling for ValueError (cycle detection), VersionConflictError - Add API-layer logging in error handlers - Add logger to condition_eval.py module - Convert defaultdict to dict in graph_utils return values - Add rollback to delete() error handler in SQLite repo - Add duplicate-ID guard on save() with version==1 - Add composite indexes for query patterns - Add dependencies field to CreateTaskData Medium fixes: - Add max_length=64 constraint on ActivateWorkflowRequest.context - Replace magic LIMIT 10000 with named _MAX_LIST_ROWS constant - Log warning for unrecognized task config values (type, priority, complexity) - Log warning for missing condition_expression on CONDITIONAL nodes - Update docstrings for accuracy (module, function, node type names) Test additions: - Protocol compliance isinstance test for WorkflowExecutionRepository - graph_utils.py tests (cycle detection, diamond, empty, disconnected) - Cancel terminal execution test (WorkflowExecutionError) - Fix FakeExecutionRepo/FakeDefinitionRepo to use deepcopy - Fix _FakeWorkflowExecutionRepository return type annotations - Update migration test for new composite indexes
…ilot, and Gemini Source fixes: - Fix wrong log event constants in controller (NOT_FOUND -> INVALID_DEFINITION, CONDITION_EVAL_FAILED) - Wire CreateTaskData.dependencies through to Task in task_engine_apply - Add completed_at cross-field validator on WorkflowExecution (terminal statuses require it) - Change error field to NotBlankStr | None for FAILED validation - Add missing log-before-raise in cancel terminal-status path and cancel not-found handler - Add logging for cancel 409 conflict responses - Add PersistenceError handling in controller endpoints (activate, list) - Log warning when _extract_username falls back to 'api' - Consolidate WorkflowExecutionError/VersionConflictError cancel handlers - Remove dead logger import from condition_eval.py - Guard against malformed comparisons (empty key/value) in condition evaluator - Add evaluate_condition docstring noting it does not raise - Extract _parse_task_config helper (fixes _process_task_node 50-line limit) - Read task description from node config with fallback - Add explicit node type guard in _process_node (rejects unknown types) - Scope AGENT_ASSIGNMENT propagation to TASK-type successors only - Log warning when AGENT_ASSIGNMENT has no agent_name - Log warning when conditional node has missing true/false edges - Remove dead node_exec_map pre-population in _walk_nodes - Update docstrings (_find_upstream_task_ids, activate, _parse_row_timestamps) - Fix _parse_row_timestamps: return None, drop return value - Add TypeError to deserialization except clause in persistence - Split save() into explicit _insert/_update branches (fixes version misclassification) - Add rollback in sqlite3.Error handlers - Bind _MAX_LIST_ROWS as query parameter instead of f-string interpolation - Update protocol docstring: add DuplicateRecordError to save() Raises - Add workflow_executions to PersistenceBackend Attributes docstring - Update inline comment: control nodes -> 'produce no concrete task' Test fixes: - Add dependency assertion in sequential test (data_b.dependencies) - Add parallel merge dependency assertions (task-c depends on task-a, task-b) - Add negative cross-field validator tests for WorkflowNodeExecution and WorkflowExecution - Fix existing tests for new completed_at requirement on terminal statuses - Add completed_at assertion on cancel test - Fix fake repo list ordering (sort by updated_at DESC) - Add make_task_node_full to conftest __all__
Controller: - Add WORKFLOW_EXEC_PERSISTENCE_FAILED event constant - Fix PersistenceError handlers to use correct event constant (was INVALID_DEFINITION/NOT_FOUND) - Add PersistenceError handling to get_execution and cancel_execution Models: - Add node_type-to-status constraint (TASK_CREATED only valid for TASK nodes) Service: - Add log before raise in unhandled node type guard Persistence: - Add rollback before VersionConflictError in _update path Tests: - Add version contract enforcement to both fake repos (DuplicateRecordError, VersionConflictError) - Add ordering assertions to list_by_definition and list_by_status tests
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Actionable comments posted: 7
♻️ Duplicate comments (3)
src/synthorg/api/dto.py (1)
668-672:⚠️ Potential issue | 🟠 Major
ActivateWorkflowRequest.contexttyping can misroute conditional branches.Allowing
int | float | bool | Nonehere conflicts with current comparison semantics (str(ctx_value)), so expressions likeflag == truecan evaluate unexpectedly and select the wrong branch.💡 Proposed fix
- context: dict[str, str | int | float | bool | None] = Field( + context: dict[str, str] = Field( default_factory=dict, max_length=64, - description="Runtime context for condition evaluation", + description="Runtime context for condition evaluation (string values)", )🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/api/dto.py` around lines 668 - 672, The ActivateWorkflowRequest.context type allows non-string values which conflicts with the code path that converts context values with str(ctx_value) and causes misrouted conditional branches; change the annotation on ActivateWorkflowRequest.context from dict[str, str | int | float | bool | None] to dict[str, str] (and keep the Field settings) so callers must supply string values, or alternatively validate/coerce values to strings at request parse time within ActivateWorkflowRequest (e.g., in a validator) to ensure all context values are strings before condition evaluation.src/synthorg/engine/workflow/graph_utils.py (1)
7-13:⚠️ Potential issue | 🟠 MajorAdd the required module logger for engine business logic.
This module contains engine workflow logic but does not initialize
loggerviaget_logger(__name__).💡 Proposed fix
from collections import defaultdict, deque from typing import TYPE_CHECKING +from synthorg.observability import get_logger + if TYPE_CHECKING: from synthorg.core.enums import WorkflowEdgeType from synthorg.engine.workflow.definition import WorkflowDefinition +logger = get_logger(__name__)As per coding guidelines, “Every module with business logic MUST have:
from synthorg.observability import get_loggerthenlogger = get_logger(__name__).”🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/engine/workflow/graph_utils.py` around lines 7 - 13, This module is missing the required module logger; import get_logger from synthorg.observability and initialize logger = get_logger(__name__) near the top of the file (e.g., after the existing imports in graph_utils.py) so all engine workflow logic can use the module-level logger; specifically add the import "from synthorg.observability import get_logger" and then "logger = get_logger(__name__)" so functions/classes in this module can reference logger.src/synthorg/engine/workflow/condition_eval.py (1)
46-49:⚠️ Potential issue | 🟠 MajorMissing-key inequality currently evaluates as
True, which can misroute branches.For
key != value, a missing key returnsTrue; typos or absent context can incorrectly take the branch.💡 Proposed fix
ctx_value = context.get(key) missing = key not in context - if op == "!=": - return True if missing else str(ctx_value) != value + if op == "!=": + return False if missing else str(ctx_value) != value return False if missing else str(ctx_value) == valuePlease update the corresponding inequality-missing-key test expectation after this change.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/engine/workflow/condition_eval.py` around lines 46 - 49, The current branch logic returns True for a missing key when op == "!=" which misroutes branches; change the conditional so both operators treat a missing key as False (i.e., for op == "!=" return False if missing else str(ctx_value) != value, and for the equality case keep return False if missing else str(ctx_value) == value), and update the related inequality-missing-key test expectation to expect False instead of True; locate the code by the variables/op names op, missing, ctx_value in the condition evaluation function and adjust accordingly.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@src/synthorg/engine/workflow/condition_eval.py`:
- Around line 22-26: Add module-level logger initialization: import get_logger
from synthorg.observability and define logger = get_logger(__name__) at the top
of the module (e.g., in src/synthorg/engine/workflow/condition_eval.py) so that
functions like those in this file can use logger; place the import alongside the
other imports (after the TYPE_CHECKING block or next to it) and add the logger
assignment as a top-level statement named logger.
In `@src/synthorg/engine/workflow/execution_service.py`:
- Around line 448-472: The activation can create durable tasks inside
_walk_nodes before the WorkflowExecution row exists, leading to orphaned
duplicate tasks on failure; change the flow in execute/activation to persist a
minimal "shell" WorkflowExecution (use WorkflowExecution with id=execution_id,
definition_id, definition_version, status=WorkflowExecutionStatus.RUNNING and
node_executions empty or placeholders) via _execution_repo.save before calling
_walk_nodes, then call _walk_nodes to create tasks (create_task()) and update
the persisted execution with the real node_executions and updated_at (or mark
failed/rolled back on error); alternatively implement explicit compensation to
delete any task IDs returned by _walk_nodes on downstream failure—adjust
callsites around _walk_nodes, WorkflowExecution construction, and the final
_execution_repo.save accordingly.
- Around line 608-613: The AGENT_ASSIGNMENT handling only assigns to immediate
TASK neighbors; update the logic in execution_service.py where it checks
node.type == WorkflowNodeType.AGENT_ASSIGNMENT to walk forward through control
nodes (e.g., CONDITIONAL, PARALLEL_SPLIT, PARALLEL_JOIN, etc.) following
adjacency from the initial target_id until you reach TASK nodes and add them to
pending_assignments, while stopping propagation down any branch that encounters
another WorkflowNodeType.AGENT_ASSIGNMENT (which should override and not be
propagated further); use adjacency, node_map and pending_assignments (and the
existing agent_name) to traverse breadth/depth as appropriate, avoid infinite
loops by tracking visited node ids, and only set
pending_assignments[target_task_id] = str(agent_name) for discovered TASK nodes.
- Around line 461-471: When creating the WorkflowExecution (the
WorkflowExecution constructor invocation that currently sets
status=WorkflowExecutionStatus.RUNNING), detect if there are no runnable task
nodes (e.g., node_task_ids is empty or there are no TASK nodes in definition)
and in that case set status to WorkflowExecutionStatus.COMPLETED (and populate
completed_at=now) instead of RUNNING so control-only activations finish
immediately; adjust the creation of node_executions/node_task_ids handling
accordingly around the WorkflowExecution instantiation to use this condition.
In `@src/synthorg/engine/workflow/graph_utils.py`:
- Around line 49-51: The topological_sort failure currently raises ValueError
without logging; update the failure path in topological_sort to log an ERROR (or
WARNING per guidelines) with context before raising: compute the missing nodes
(e.g. missing = set(node_ids) - set(result)) and call the module logger (use the
existing logger or create one via logging.getLogger(__name__)) to log a message
like "Cannot topologically sort: graph contains a cycle" including the missing
nodes and any available graph/context (node_ids, result or adjacency info) and
then raise the ValueError as before; reference the topological_sort function and
the result and node_ids variables to locate the change.
In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py`:
- Around line 214-222: The code currently maps every sqlite3.IntegrityError to
DuplicateRecordError; change the except block in the save logic (the handler
that calls await self._db.rollback() and logs
PERSISTENCE_WORKFLOW_EXEC_SAVE_FAILED for execution.id) to distinguish
UNIQUE/PRIMARY KEY violations from other integrity errors: inspect the
IntegrityError text (str(exc) or exc.args[0]) for keywords like "UNIQUE
constraint failed" / "PRIMARY KEY" (or equivalent SQLite wording) and if present
raise DuplicateRecordError(msg) as before, otherwise raise
QueryError(original_exception) so foreign key or CHECK violations propagate
correctly; keep the rollback, logging (include the original error text in the
log), and the same msg for duplicate-ID cases.
In `@tests/unit/api/controllers/test_workflow_executions.py`:
- Around line 60-68: The helper _seed_definition currently writes directly to
the repository private attribute repo._definitions; change it to use the
repository's public API instead (e.g., call a method on repository such as
repo.add_definition(defn), repo.save(defn), or repo.upsert(defn) via the same
repo obtained from
test_client.app.state.app_state.persistence.workflow_definitions) so tests don't
rely on internal attributes; if the repository lacks a suitable public seeding
method, add a small public method (on the repository class) to insert a
WorkflowDefinition and call that from _seed_definition.
---
Duplicate comments:
In `@src/synthorg/api/dto.py`:
- Around line 668-672: The ActivateWorkflowRequest.context type allows
non-string values which conflicts with the code path that converts context
values with str(ctx_value) and causes misrouted conditional branches; change the
annotation on ActivateWorkflowRequest.context from dict[str, str | int | float |
bool | None] to dict[str, str] (and keep the Field settings) so callers must
supply string values, or alternatively validate/coerce values to strings at
request parse time within ActivateWorkflowRequest (e.g., in a validator) to
ensure all context values are strings before condition evaluation.
In `@src/synthorg/engine/workflow/condition_eval.py`:
- Around line 46-49: The current branch logic returns True for a missing key
when op == "!=" which misroutes branches; change the conditional so both
operators treat a missing key as False (i.e., for op == "!=" return False if
missing else str(ctx_value) != value, and for the equality case keep return
False if missing else str(ctx_value) == value), and update the related
inequality-missing-key test expectation to expect False instead of True; locate
the code by the variables/op names op, missing, ctx_value in the condition
evaluation function and adjust accordingly.
In `@src/synthorg/engine/workflow/graph_utils.py`:
- Around line 7-13: This module is missing the required module logger; import
get_logger from synthorg.observability and initialize logger =
get_logger(__name__) near the top of the file (e.g., after the existing imports
in graph_utils.py) so all engine workflow logic can use the module-level logger;
specifically add the import "from synthorg.observability import get_logger" and
then "logger = get_logger(__name__)" so functions/classes in this module can
reference logger.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Repository UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: 8140351f-04bc-46c6-b0d5-8d38f060660b
📒 Files selected for processing (34)
CLAUDE.mddocs/DESIGN_SPEC.mddocs/design/engine.mdsrc/synthorg/api/controllers/__init__.pysrc/synthorg/api/controllers/workflow_executions.pysrc/synthorg/api/dto.pysrc/synthorg/core/enums.pysrc/synthorg/engine/errors.pysrc/synthorg/engine/task_engine_apply.pysrc/synthorg/engine/task_engine_models.pysrc/synthorg/engine/workflow/condition_eval.pysrc/synthorg/engine/workflow/execution_models.pysrc/synthorg/engine/workflow/execution_service.pysrc/synthorg/engine/workflow/graph_utils.pysrc/synthorg/engine/workflow/yaml_export.pysrc/synthorg/observability/events/persistence.pysrc/synthorg/observability/events/workflow_execution.pysrc/synthorg/persistence/protocol.pysrc/synthorg/persistence/sqlite/backend.pysrc/synthorg/persistence/sqlite/schema.sqlsrc/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/persistence/workflow_execution_repo.pytests/unit/api/controllers/test_workflow_executions.pytests/unit/api/fakes.pytests/unit/api/fakes_workflow.pytests/unit/engine/workflow/conftest.pytests/unit/engine/workflow/test_condition_eval.pytests/unit/engine/workflow/test_execution_models.pytests/unit/engine/workflow/test_execution_service.pytests/unit/engine/workflow/test_graph_utils.pytests/unit/observability/test_events.pytests/unit/persistence/sqlite/test_migrations.pytests/unit/persistence/sqlite/test_workflow_execution_repo.pytests/unit/persistence/test_protocol.py
| from typing import TYPE_CHECKING | ||
|
|
||
| if TYPE_CHECKING: | ||
| from collections.abc import Mapping | ||
|
|
There was a problem hiding this comment.
Add the required module logger initialization.
This engine workflow module has business logic but does not define logger = get_logger(__name__).
As per coding guidelines, “Every module with business logic MUST have: from synthorg.observability import get_logger then logger = get_logger(__name__).”
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/engine/workflow/condition_eval.py` around lines 22 - 26, Add
module-level logger initialization: import get_logger from
synthorg.observability and define logger = get_logger(__name__) at the top of
the module (e.g., in src/synthorg/engine/workflow/condition_eval.py) so that
functions like those in this file can use logger; place the import alongside the
other imports (after the TYPE_CHECKING block or next to it) and add the logger
assignment as a top-level statement named logger.
| node_exec_map, node_task_ids = await self._walk_nodes( | ||
| sorted_ids=sorted_ids, | ||
| node_map=node_map, | ||
| adjacency=adjacency, | ||
| reverse_adj=reverse_adj, | ||
| outgoing=outgoing, | ||
| ctx=ctx, | ||
| execution_id=execution_id, | ||
| project=project, | ||
| activated_by=activated_by, | ||
| ) | ||
|
|
||
| # 4. Build and persist execution | ||
| execution = WorkflowExecution( | ||
| id=execution_id, | ||
| definition_id=definition.id, | ||
| definition_version=definition.version, | ||
| status=WorkflowExecutionStatus.RUNNING, | ||
| node_executions=tuple(node_exec_map[n.id] for n in definition.nodes), | ||
| activated_by=activated_by, | ||
| project=project, | ||
| created_at=now, | ||
| updated_at=now, | ||
| ) | ||
| await self._execution_repo.save(execution) |
There was a problem hiding this comment.
Persist execution state before the first task write.
_walk_nodes() can already have created durable tasks before any WorkflowExecution row exists. If a later create_task() or the final save() fails, activation returns an error but the earlier tasks remain orphaned, and a retry will duplicate them. Persist a shell execution first, then update/fail it, or add explicit compensation around created task IDs. Based on learnings: TaskEngine is the centralized single-writer task state engine.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/engine/workflow/execution_service.py` around lines 448 - 472,
The activation can create durable tasks inside _walk_nodes before the
WorkflowExecution row exists, leading to orphaned duplicate tasks on failure;
change the flow in execute/activation to persist a minimal "shell"
WorkflowExecution (use WorkflowExecution with id=execution_id, definition_id,
definition_version, status=WorkflowExecutionStatus.RUNNING and node_executions
empty or placeholders) via _execution_repo.save before calling _walk_nodes, then
call _walk_nodes to create tasks (create_task()) and update the persisted
execution with the real node_executions and updated_at (or mark failed/rolled
back on error); alternatively implement explicit compensation to delete any task
IDs returned by _walk_nodes on downstream failure—adjust callsites around
_walk_nodes, WorkflowExecution construction, and the final _execution_repo.save
accordingly.
| if len(result) != len(node_ids): | ||
| msg = "Cannot topologically sort: graph contains a cycle" | ||
| raise ValueError(msg) |
There was a problem hiding this comment.
Log cycle-detection failures before raising.
topological_sort raises on cycle but does not log the error path in-module.
💡 Proposed fix
if len(result) != len(node_ids):
msg = "Cannot topologically sort: graph contains a cycle"
+ logger.warning(
+ "workflow_graph_cycle_detected",
+ node_count=len(node_ids),
+ resolved_count=len(result),
+ )
raise ValueError(msg)As per coding guidelines, “All error paths must log at WARNING or ERROR with context before raising.”
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/engine/workflow/graph_utils.py` around lines 49 - 51, The
topological_sort failure currently raises ValueError without logging; update the
failure path in topological_sort to log an ERROR (or WARNING per guidelines)
with context before raising: compute the missing nodes (e.g. missing =
set(node_ids) - set(result)) and call the module logger (use the existing logger
or create one via logging.getLogger(__name__)) to log a message like "Cannot
topologically sort: graph contains a cycle" including the missing nodes and any
available graph/context (node_ids, result or adjacency info) and then raise the
ValueError as before; reference the topological_sort function and the result and
node_ids variables to locate the change.
| def _seed_definition( | ||
| test_client: TestClient[Any], | ||
| definition: WorkflowDefinition | None = None, | ||
| ) -> None: | ||
| """Seed a workflow definition into the fake persistence.""" | ||
| defn = definition or _VALID_DEFINITION | ||
| app_state = test_client.app.state.app_state | ||
| repo = app_state.persistence.workflow_definitions | ||
| repo._definitions[defn.id] = defn |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Consider using a public method for test seeding.
Directly accessing repo._definitions (private attribute) couples tests to implementation details. If the repository's internal structure changes, this seeding approach will break.
However, this is a common pattern in test fixtures and acceptable given the controlled test context.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@tests/unit/api/controllers/test_workflow_executions.py` around lines 60 - 68,
The helper _seed_definition currently writes directly to the repository private
attribute repo._definitions; change it to use the repository's public API
instead (e.g., call a method on repository such as repo.add_definition(defn),
repo.save(defn), or repo.upsert(defn) via the same repo obtained from
test_client.app.state.app_state.persistence.workflow_definitions) so tests don't
rely on internal attributes; if the repository lacks a suitable public seeding
method, add a small public method (on the repository class) to insert a
WorkflowDefinition and call that from _seed_definition.
- AGENT_ASSIGNMENT: forward walk through control nodes to reach TASK targets (was only checking immediate successors, silently dropped assignments through CONDITIONAL/SPLIT/JOIN) - Auto-complete control-only workflows: set COMPLETED+completed_at when no TASK nodes produce concrete tasks (was leaving RUNNING forever) - Distinguish IntegrityError types in _insert: UNIQUE/PK violations raise DuplicateRecordError, FK/CHECK violations raise QueryError
There was a problem hiding this comment.
Actionable comments posted: 1
♻️ Duplicate comments (2)
src/synthorg/engine/workflow/execution_service.py (1)
478-511:⚠️ Potential issue | 🔴 CriticalPersist the execution before the first task write.
_walk_nodes()can create durable tasks before anyworkflow_executionsrow exists. If a later node fails or the finalsave()raises, activation returns an error with orphaned tasks already committed, and a retry will duplicate them. Save a shellWorkflowExecutionfirst and then update/fail it, or compensate any created task IDs on downstream failure. Based on learnings: TaskEngine is the centralized single-writer task state engine.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/engine/workflow/execution_service.py` around lines 478 - 511, The activation currently calls self._walk_nodes(...) which may create durable tasks before any WorkflowExecution row exists; persist a shell WorkflowExecution first to avoid orphaned tasks on later failure. Create and save a minimal WorkflowExecution (id=execution_id, definition_id/definition_version, status=WorkflowExecutionStatus.RUNNING or PENDING, created_at/updated_at timestamps, activated_by/project and empty node_executions) via self._execution_repo.save(...) before calling _walk_nodes, then call _walk_nodes to create tasks, populate node_executions/node_task_ids and finally update the persisted WorkflowExecution (set node_executions, status, completed_at and updated_at) and save again; reference methods/objects: _walk_nodes, WorkflowExecution, node_exec_map, node_task_ids, self._execution_repo.save.src/synthorg/persistence/sqlite/workflow_execution_repo.py (1)
48-49:⚠️ Potential issue | 🟠 MajorDon't silently truncate list results at 10,000 rows.
Both list methods still return a bare tuple after applying
_MAX_LIST_ROWS, so callers cannot tell when older executions were dropped. Either surface pagination/truncation metadata in the repository contract or fail explicitly once the cap is exceeded.Also applies to: 348-354, 390-396
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py` around lines 48 - 49, The repo currently truncates list results at _MAX_LIST_ROWS (10_000) and returns a bare tuple so callers can't tell if data was dropped; update the two listing methods in workflow_execution_repo (the repository class methods that cap results using _MAX_LIST_ROWS at the ranges noted) to either (1) include explicit pagination/truncation metadata in their return contract (e.g., return results plus a boolean or total_count/next_cursor) so callers can detect truncation, or (2) raise a clear exception when the cap is reached to fail fast; pick one approach, implement it consistently for both list methods, update the method signatures and callers accordingly, and use the _MAX_LIST_ROWS symbol when checking for the cap.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@src/synthorg/engine/workflow/execution_service.py`:
- Around line 430-437: Change the public service method parameter types from
plain str to NotBlankStr from core.types for identifier/name inputs: update
activate(self, definition_id: str, *, project: str, activated_by: str, ...) ->
WorkflowExecution to use NotBlankStr for definition_id, project, and
activated_by; similarly replace plain str with NotBlankStr (or NotBlankStr |
None where optional) for execution_id and cancelled_by in other public methods
of the same class that accept these identifiers (the methods that currently
accept definition_id, project, activated_by, execution_id, cancelled_by). Import
NotBlankStr from core.types and adjust only the function signatures (and any
type hints/references) so validation is enforced at the service boundary.
---
Duplicate comments:
In `@src/synthorg/engine/workflow/execution_service.py`:
- Around line 478-511: The activation currently calls self._walk_nodes(...)
which may create durable tasks before any WorkflowExecution row exists; persist
a shell WorkflowExecution first to avoid orphaned tasks on later failure. Create
and save a minimal WorkflowExecution (id=execution_id,
definition_id/definition_version, status=WorkflowExecutionStatus.RUNNING or
PENDING, created_at/updated_at timestamps, activated_by/project and empty
node_executions) via self._execution_repo.save(...) before calling _walk_nodes,
then call _walk_nodes to create tasks, populate node_executions/node_task_ids
and finally update the persisted WorkflowExecution (set node_executions, status,
completed_at and updated_at) and save again; reference methods/objects:
_walk_nodes, WorkflowExecution, node_exec_map, node_task_ids,
self._execution_repo.save.
In `@src/synthorg/persistence/sqlite/workflow_execution_repo.py`:
- Around line 48-49: The repo currently truncates list results at _MAX_LIST_ROWS
(10_000) and returns a bare tuple so callers can't tell if data was dropped;
update the two listing methods in workflow_execution_repo (the repository class
methods that cap results using _MAX_LIST_ROWS at the ranges noted) to either (1)
include explicit pagination/truncation metadata in their return contract (e.g.,
return results plus a boolean or total_count/next_cursor) so callers can detect
truncation, or (2) raise a clear exception when the cap is reached to fail fast;
pick one approach, implement it consistently for both list methods, update the
method signatures and callers accordingly, and use the _MAX_LIST_ROWS symbol
when checking for the cap.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
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📒 Files selected for processing (2)
src/synthorg/engine/workflow/execution_service.pysrc/synthorg/persistence/sqlite/workflow_execution_repo.py
📜 Review details
🧰 Additional context used
📓 Path-based instructions (4)
**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
**/*.py: Nofrom __future__ import annotations— Python 3.14 has PEP 649 native lazy annotations.
Useexcept A, B:(no parentheses) for PEP 758 except syntax on Python 3.14.
Type hints required on all public functions; mypy strict mode enforced.
Docstrings required on public classes and functions using Google style; enforced by ruff D rules.
Create new objects instead of mutating existing ones. For non-Pydantic internal collections (registries,BaseTool), usecopy.deepcopy()at construction +MappingProxyTypewrapping for read-only enforcement.
Fordict/listfields in frozen Pydantic models, rely onfrozen=Truefor field reassignment prevention andcopy.deepcopy()at system boundaries (tool execution, LLM provider serialization, inter-agent delegation, serializing for persistence).
Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (usingmodel_copy(update=...)) for runtime state that evolves (e.g. agent execution state, task progress). Never mix static config fields with mutable runtime fields in one model.
Use Pydantic v2 (BaseModel,model_validator,computed_field,ConfigDict). In allConfigDictdeclarations, useallow_inf_nan=Falseto rejectNaN/Infin numeric fields at validation time.
Use@computed_fieldfor derived values instead of storing and validating redundant fields (e.g.TokenUsage.total_tokens).
UseNotBlankStr(fromcore.types) for all identifier/name fields — including optional (NotBlankStr | None) and tuple (tuple[NotBlankStr, ...]) variants — instead of manual whitespace validators.
Preferasyncio.TaskGroupfor fan-out/fan-in parallel operations in new code (e.g. multiple tool invocations, parallel agent calls). Prefer structured concurrency over barecreate_task.
Line length maximum is 88 characters, enforced by ruff.
Functions must be < 50 lines; files < 800 lines.
Handle errors explicitly; never silently swallow exceptions.
Validate at system boundaries (use...
Files:
src/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_service.py
src/synthorg/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
src/synthorg/**/*.py: Every module with business logic MUST have:from synthorg.observability import get_loggerthenlogger = get_logger(__name__).
Never useimport logging/logging.getLogger()/print()in application code. Exceptions:observability/setup.py,observability/sinks.py,observability/syslog_handler.py, andobservability/http_handler.pymay use stdlibloggingandprint(..., file=sys.stderr)for handler construction, bootstrap, and error reporting.
Use event name constants from domain-specific modules undersynthorg.observability.events(e.g.,API_REQUEST_STARTEDfromevents.api,TOOL_INVOKE_STARTfromevents.tool). Import directly:from synthorg.observability.events.<domain> import EVENT_CONSTANT.
Always use structured kwargs in logging:logger.info(EVENT, key=value)— neverlogger.info("msg %s", val).
All error paths must log at WARNING or ERROR with context before raising.
All state transitions must log at INFO level.
DEBUG logging for object creation, internal flow, and entry/exit of key functions.
Retryable errors (is_retryable=True):RateLimitError,ProviderTimeoutError,ProviderConnectionError,ProviderInternalError. Non-retryable errors raise immediately without retry.
Never use real vendor names (Anthropic, OpenAI, Claude, GPT, etc.) in project-owned code, docstrings, comments, tests, or config examples. Use generic names:example-provider,example-large-001,example-medium-001,example-small-001,large/medium/smallas aliases.
Files:
src/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_service.py
src/**/*.py
⚙️ CodeRabbit configuration file
This project uses Python 3.14+ with PEP 758 except syntax: "except A, B:" (comma-separated, no parentheses) is correct and mandatory -- do NOT flag it as a typo or suggest parenthesized form. The "except builtins.MemoryError, RecursionError: raise" pattern is intentional project convention for system-error propagation. When evaluating the 50-line function limit, count only the function body excluding the signature lines, decorators, and docstring. Functions 1-5 lines over due to docstrings or multi-line signatures should not be flagged. Do not suggest extracting single-use helper functions called exactly once -- this reduces readability without improving maintainability.
Files:
src/synthorg/persistence/sqlite/workflow_execution_repo.pysrc/synthorg/engine/workflow/execution_service.py
src/synthorg/{engine,providers}/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
RetryExhaustedErrorsignals that all retries failed — the engine layer catches this to trigger fallback chains.
Files:
src/synthorg/engine/workflow/execution_service.py
🧠 Learnings (25)
📓 Common learnings
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/engine/coordination/**/*.py : Task coordination uses multi-agent pipeline with 4 dispatchers (SAS/centralized/decentralized/context-dependent), wave execution, and workspace lifecycle integration.
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/persistence/**/*.py : Persistence uses pluggable PersistenceBackend protocol. SQLite is the initial backend. Settings use SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Persistence backend: pluggable PersistenceBackend protocol in `src/synthorg/persistence/`, SQLite initial, SettingsRepository (namespaced settings CRUD).
Applied to files:
src/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/**/*.py : Handle errors explicitly, never silently swallow. Validate at system boundaries (user input, external APIs, config files).
Applied to files:
src/synthorg/persistence/sqlite/workflow_execution_repo.py
📚 Learning: 2026-03-19T07:12:14.508Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-19T07:12:14.508Z
Learning: Applies to src/synthorg/engine/**/*.py : Engine package (engine/): agent orchestration, parallel execution, task decomposition, routing, TaskEngine (centralized single-writer), task lifecycle/recovery/shutdown, workspace isolation, coordination (4 dispatchers: SAS/centralized/decentralized/context-dependent, wave execution), approval gates (escalation detection, context parking/resume), stagnation detection (ToolRepetitionDetector, corrective prompt injection), AgentRuntimeState (execution status), context budget management, conversation compaction (oldest-turns summarizer)
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Engine: Agent orchestration, execution loops, parallel execution, task decomposition, routing, task assignment, centralized single-writer task state engine (TaskEngine), task lifecycle, recovery, shutdown, workspace isolation, coordination (multi-agent pipeline: TopologyDispatcher protocol, 4 dispatchers — SAS/centralized/decentralized/context-dependent, wave execution, workspace lifecycle integration, CoordinationSectionConfig company config bridge, build_coordinator factory), coordination error classification, prompt policy validation, checkpoint recovery (checkpoint/, per-turn persistence, heartbeat detection, CheckpointRecoveryStrategy), approval gate (escalation detection, context parking/resume, EscalationInfo/ResumePayload models), stagnation detection (stagnation/, StagnationDetector protocol, ToolRepetitionDetector, dual-signal analysis, corrective prompt injection), agent runtime state (AgentRuntimeState, lightweight per-agent execution status for dashboard queries and recove...
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-04-03T16:11:48.610Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-03T16:11:48.610Z
Learning: Applies to **/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state that evolves (e.g. agent execution state, task progress). Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-04-01T09:37:49.451Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-04-01T09:37:49.451Z
Learning: Applies to **/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models with `model_copy(update=...)` for runtime state that evolves
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-20T21:44:04.528Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T21:44:04.528Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (via `model_copy(update=...)`) for runtime state that evolves
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T19:14:27.144Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T19:14:27.144Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; use separate mutable-via-copy models (using model_copy(update=...)) for runtime state that evolves. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to **/*.py : Config vs runtime state: frozen Pydantic models for config/identity; separate mutable-via-copy models (using model_copy(update=...)) for runtime state that evolves. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-20T08:28:32.845Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-20T08:28:32.845Z
Learning: Applies to **/*.py : Config vs runtime state: use frozen Pydantic models for config/identity; separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state. Never mix static config fields with mutable runtime fields in one model.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : Use frozen Pydantic models for config/identity; separate mutable-via-copy models (using `model_copy(update=...)`) for runtime state
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T06:30:14.180Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:30:14.180Z
Learning: Applies to src/synthorg/engine/coordination/**/*.py : Task coordination uses multi-agent pipeline with 4 dispatchers (SAS/centralized/decentralized/context-dependent), wave execution, and workspace lifecycle integration.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-16T07:22:28.134Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T07:22:28.134Z
Learning: Applies to **/*.py : Functions must be less than 50 lines; files must be less than 800 lines
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-14T16:18:57.267Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T16:18:57.267Z
Learning: Applies to **/*.py : Handle errors explicitly—never silently swallow exceptions.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-16T07:22:28.134Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T07:22:28.134Z
Learning: Applies to **/*.py : Handle errors explicitly; never silently swallow exceptions
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-14T15:43:05.601Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T15:43:05.601Z
Learning: Applies to **/*.py : Handle errors explicitly, never silently swallow exceptions
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T16:55:07.730Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T16:55:07.730Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T22:08:13.456Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T22:08:13.456Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, entry/exit of key functions.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-15T18:38:44.202Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-15T18:38:44.202Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-16T07:22:28.134Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-16T07:22:28.134Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, and key function entry/exit
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-31T20:07:03.035Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-31T20:07:03.035Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising; all state transitions must log at INFO; DEBUG for object creation, internal flow, entry/exit of key functions
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-14T16:18:57.267Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-14T16:18:57.267Z
Learning: Applies to src/ai_company/!(observability)/**/*.py : All error paths must log at WARNING or ERROR with context before raising.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
📚 Learning: 2026-03-17T06:43:14.114Z
Learnt from: CR
Repo: Aureliolo/synthorg PR: 0
File: CLAUDE.md:0-0
Timestamp: 2026-03-17T06:43:14.114Z
Learning: Applies to src/synthorg/**/*.py : All error paths must log at WARNING or ERROR with context before raising. All state transitions must log at INFO. DEBUG for object creation, internal flow, entry/exit of key functions. Pure data models, enums, and re-exports do NOT need logging.
Applied to files:
src/synthorg/engine/workflow/execution_service.py
| async def activate( | ||
| self, | ||
| definition_id: str, | ||
| *, | ||
| project: str, | ||
| activated_by: str, | ||
| context: Mapping[str, object] | None = None, | ||
| ) -> WorkflowExecution: |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major
Use NotBlankStr on the public service boundary.
definition_id, project, activated_by, execution_id, and cancelled_by are identifier/name inputs, but these methods type them as plain str, so blank values are only rejected later by downstream models and repositories. Tighten the signatures here to keep validation at the boundary and align with the rest of the persistence API. As per coding guidelines "Use NotBlankStr (from core.types) for all identifier/name fields — including optional (NotBlankStr | None) and tuple (tuple[NotBlankStr, ...]) variants — instead of manual whitespace validators."
Also applies to: 712-745
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@src/synthorg/engine/workflow/execution_service.py` around lines 430 - 437,
Change the public service method parameter types from plain str to NotBlankStr
from core.types for identifier/name inputs: update activate(self, definition_id:
str, *, project: str, activated_by: str, ...) -> WorkflowExecution to use
NotBlankStr for definition_id, project, and activated_by; similarly replace
plain str with NotBlankStr (or NotBlankStr | None where optional) for
execution_id and cancelled_by in other public methods of the same class that
accept these identifiers (the methods that currently accept definition_id,
project, activated_by, execution_id, cancelled_by). Import NotBlankStr from
core.types and adjust only the function signatures (and any type
hints/references) so validation is enforced at the service boundary.
🤖 I have created a release *beep* *boop* --- ## [0.6.0](v0.5.9...v0.6.0) (2026-04-03) ### Features * dashboard UI for ceremony policy settings ([#1038](#1038)) ([865554c](865554c)), closes [#979](#979) * implement tool-based memory retrieval injection strategy ([#1039](#1039)) ([329270e](329270e)), closes [#207](#207) * local model management for Ollama and LM Studio ([#1037](#1037)) ([e1b14d3](e1b14d3)), closes [#1030](#1030) * workflow execution -- instantiate tasks from WorkflowDefinition ([#1040](#1040)) ([e9235e3](e9235e3)), closes [#1004](#1004) ### Maintenance * shared Hypothesis failure DB + deterministic CI profile ([#1041](#1041)) ([901ae92](901ae92)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
Summary
Implements workflow execution: when a user activates a
WorkflowDefinition, the engine creates concreteTaskinstances following the graph topology, respecting dependencies and conditional edges.What changed
Core execution engine (
src/synthorg/engine/workflow/):execution_service.py--WorkflowExecutionServicewithactivate,get_execution,list_executions,cancel_executionexecution_models.py--WorkflowExecutionandWorkflowNodeExecutionfrozen Pydantic models with cross-field validatorscondition_eval.py-- Safe string-based condition evaluator (noeval/exec) supporting boolean literals, key lookups, equality, inequalitygraph_utils.py-- Shared topological sort (Kahn's algorithm) and adjacency map construction, extracted from yaml_export.pyActivation algorithm (topological walk):
validate_workflow()graph_utilsAPI (
src/synthorg/api/controllers/workflow_executions.py):POST /activate/{workflow_id}-- Activate a workflow definition (201)GET /by-definition/{workflow_id}-- List executions for a definitionGET /{execution_id}-- Get a specific executionPOST /{execution_id}/cancel-- Cancel an execution (with status guard)Persistence (
src/synthorg/persistence/):WorkflowExecutionRepositoryprotocol with CRUD +list_by_statusSQLiteWorkflowExecutionRepositorywith optimistic concurrency, JSON-serialized node executions, composite indexesworkflow_executionstable with FK toworkflow_definitions, CHECK constraints, 6 indexesObservability:
workflow_execution.pyevent constants (activation, task creation, condition evaluation, lifecycle)Test plan
test_condition_eval.py-- 22 tests covering all expression types, safety, edge casestest_execution_models.py-- 16 tests covering validation, immutability, cross-field invariants, NaN rejectiontest_execution_service.py-- 14 tests covering simple/sequential/parallel/conditional workflows, agent assignment, errors, cancel (including terminal status guard)test_workflow_executions.py-- 7 API controller tests (activate, list, get, cancel endpoints)test_workflow_execution_repo.py-- 10 SQLite CRUD tests (roundtrip, version conflict, list, delete)test_graph_utils.py-- 8 tests (linear, diamond, cycle detection, empty, disconnected, plain dict return)WorkflowExecutionRepositoryReview coverage
Pre-reviewed by 16 specialized agents, 33 findings addressed:
Closes #1004