fix(auto_debug): return partial state updates from nodes per LangGraph contract

Closes #10496

Fixed four node functions in auto_debug.py that were violating LangGraph's node contract by mutating state in-place and returning full state objects. Now all four return dict[str, Any] with only the keys they update.
This commit is contained in:
2026-05-16 12:54:53 +00:00
parent 0b88f7d2b2
commit 016bdf6f71
19 changed files with 191 additions and 520 deletions
+2 -18
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@@ -5,8 +5,6 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
Changed `wf10_batch.robot` to be less likely to create files, and
`plan_generation_graph.robot` to give more test answers.
## [Unreleased]
- Hardened the TDD bug-fix quality gate for issue #629: PR parsing now
requires whole-word closing keywords (avoids false positives like
"prefixes #12"), TDD bug tag discovery now uses exact token matching
@@ -42,20 +40,6 @@ Changed `wf10_batch.robot` to be less likely to create files, and
cleanup conflict with `cli_init_yes_flag_steps.py`); 2 new Behave
scenarios covering multi-line PR description parsing and non-string
`pr_diff` type guard.
- Added `TokenAuthMiddleware` and DI wiring to emit missing auth domain
events (`AUTH_SUCCESS`, `AUTH_FAILURE`) during token checks, including
spec-aligned audit details (`user_identity`, `attempted_identity`,
`ip_address`, `token_prefix`, `failure_reason`) and best-effort publish
behavior. Auth token prefixes now persist to audit logs without
redaction-key collisions, and short tokens are masked (`***...`) to
prevent full token disclosure. Added Behave coverage and Robot
audit-pipeline integration tests for auth event persistence. (#714)
- Added TDD bug-capture E2E tests for bug #1028 — ACMS indexing pipeline not
wired into CLI. Four Robot Framework E2E tests prove ContextTierService starts
empty on every CLI invocation. Tests use ``@tdd_expected_fail`` until the bug
fix is merged. (#1029)
- Added Fix-then-Revalidate orchestration loop for required validations:
bounded retry with configurable limits (0--100 per Safety Profile),
strategy revision escalation via `auto_strategy_revision` float
@@ -68,6 +52,7 @@ Changed `wf10_batch.robot` to be less likely to create files, and
counter, spec-required `validation_summary` and
`final_validation_results` fields on the result model, DI container
## [Unreleased]
- **fix(tui): rename ActorSelectionOverlay._render to _refresh_display (issue #11039)** — `ActorSelectionOverlay._render()` shadows Textual's `Widget._render()` which must return a `Strip`. In textual >=1.0, layout calls `get_content_height()` `self._render()` gets `None` `AttributeError: 'NoneType' object has no attribute 'get_height'`. Renamed the method to `_refresh_display()` and updated all four internal call sites (`show()`, `move_up()`, `move_down()`, `set_search()`) to use the new name.
- **Structural Component Output Validation** (#8164): Replaces exact character matching with structural component checking for output validation. Implements three validators covering plan tree output, decision CLI dicts, and structured session snapshots. The `validate_plan_tree` function validates node dicts for required keys (`decision_id`, `type`, `sequence`, `question`, `children`), ULID format, correct types, and sibling ordering. The `validate_decision_dict` function validates decision CLI output against the `Decision.as_cli_dict()` schema with field presence, type, ULID pattern, confidence range [0..1], and boolean field checks. The `validate_structured_output` function validates the StructuredOutput envelope for `command`, `session_id` (ULID), status membership, `exit_code`, and elements integrity. A unified dispatcher (`validate_structured_component_output`) enables routing by target_type. BDD test coverage added in `features/structural_validation.feature`. [Epic #8137](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8137)
@@ -201,8 +186,7 @@ Changed `wf10_batch.robot` to be less likely to create files, and
were cleaned up in `features/actor_add_update_enforcement.feature` so the
tests report correctly now that the underlying bug has been fixed.
- **Fixed `merge_invariants()` missing ACTION scope — 4-tier precedence restored** (#9126): Updated ``merge_invariants()`` and ``InvariantSet.merge()`` to accept a fourth parameter ``action_invariants`` alongside plan, project, and global tiers. The module docstring, ``InvariantScope`` docstring, and ``InvariantService.get_effective_invariants()`` now all reflect the correct precedence chain: ``plan > action > project > global``. Added ``action_name`` parameter to ``get_effective_invariants()`` so action-scoped invariants are collected and passed through the merge pipeline instead of silently dropped. All docstrings across both files were corrected from ``plan > project > global`` to ``plan > action > project > global``. Comprehensive Behave scenarios added covering four-tier merge precedence, action-before-project ordering, action override of project with same text, and effective invariant computation with all four scopes.
- **Resolved Behave AmbiguousStep collisions in step definitions** (#4186): Renamed
step texts to avoid case-sensitive collisions between different step modules that
prevented all Behave tests from loading. Renamed steps in
`edge_case_plan_steps.py`, `plan_executor_coverage_boost_steps.py`,
+1 -1
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@@ -15,7 +15,7 @@
Below are some of the specific details of various contributions.
* Jeffrey Phillips Freeman has acted as Lead Developer, daily contributor, and Project Owner.
* Jeffrey Phillips Freeman has contributed the invariant merge precedence fix (#9126): restored the missing ACTION scope in ``merge_invariants()`` and ``InvariantSet.merge()``, corrected all module docstrings from ``plan > project > global`` to the spec-compliant ``plan > action > project > global``, and added comprehensive BDD test coverage for four-tier merge precedence.
* Jeffrey Phillips Freeman has contributed an implementation for the invariant propagation fix (PR #10881 / issue #9131): added `_propagate_invariant_decisions()` to `SubplanService` to propagate all `invariant_enforced` decisions from parent plans to child plan decision trees during subplan spawn, satisfying the specification requirement for invariant propagation across hierarchical plan execution.
* Brent E. Edwards has contributed quality assurance, test coverage, and CI pipeline improvements.
* HAL 9000 has contributed automated implementation, bug fixes, and feature development as part of the CleverAgents automation pool.
* HAL 9000 has contributed concurrency safety improvements, including thread-safe context tier management (issue #7547) for parallel plan execution.
+5 -5
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@@ -74,7 +74,7 @@ class MergeSmallSuite:
def time_merge_small(self) -> None:
"""Benchmark merge with ~13 invariants."""
merge_invariants(self.plan, [], self.project, self.global_invs)
merge_invariants(self.plan, self.project, self.global_invs)
class MergeMediumSuite:
@@ -88,7 +88,7 @@ class MergeMediumSuite:
def time_merge_medium(self) -> None:
"""Benchmark merge with ~50 invariants."""
merge_invariants(self.plan, [], self.project, self.global_invs)
merge_invariants(self.plan, self.project, self.global_invs)
class MergeLargeSuite:
@@ -102,7 +102,7 @@ class MergeLargeSuite:
def time_merge_large(self) -> None:
"""Benchmark merge with ~250 invariants."""
merge_invariants(self.plan, [], self.project, self.global_invs)
merge_invariants(self.plan, self.project, self.global_invs)
class MergeDeduplicationSuite:
@@ -137,7 +137,7 @@ class MergeDeduplicationSuite:
def time_merge_dedup(self) -> None:
"""Benchmark merge with 60 invariants, all duplicates."""
merge_invariants(self.plan, [], self.project, self.global_invs)
merge_invariants(self.plan, self.project, self.global_invs)
class InvariantSetMergeSuite:
@@ -151,7 +151,7 @@ class InvariantSetMergeSuite:
def time_invariant_set_merge(self) -> None:
"""Benchmark InvariantSet.merge()."""
InvariantSet.merge(self.plan, [], self.project, self.global_invs)
InvariantSet.merge(self.plan, self.project, self.global_invs)
class ServiceEffectiveSuite:
+3 -100
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@@ -418,7 +418,7 @@ Feature: Consolidated Domain Models
Scenario: InvariantScope has four values
Then InvariantScope should have values "global, project, action, plan"
# === Merge Precedence (plan > action > project > global) ===
# === Merge Precedence (plan > project > global) ===
Scenario: Merge with no duplicates preserves all invariants
@@ -480,75 +480,6 @@ Feature: Consolidated Domain Models
And the merged invariant at index 0 should have text "LOG ALL CHANGES"
Scenario: Merge with all four scopes preserves action tier — Issue #9126
Given I have plan invariants
| text | source |
| Plan rule | plan1 |
And I have action invariants
| text | source |
| Action rule | action1 |
And I have project invariants
| text | source |
| Project rule | proj1 |
And I have global invariants
| text | source |
| Global rule | system |
When I merge the invariants
Then the merged set should have 4 invariants
And plan invariants appear before action invariants in merge
And action invariants appear before project invariants in merge
And the merged invariant at index 0 should have text "Plan rule"
And the merged invariant at index 1 should have text "Action rule"
And the merged invariant at index 2 should have text "Project rule"
And the merged invariant at index 3 should have text "Global rule"
Scenario: Action invariant overrides project with same text
Given I have plan invariants
| text | source |
And I have action invariants
| text | source |
| Log all changes | action1 |
And I have project invariants
| text | source |
| Log all changes | proj1 |
And I have global invariants
| text | source |
When I merge the invariants
Then the merged set should have 1 invariants
And the merged invariant at index 0 should have scope "action"
Scenario: Action invariant is included in de-duplication with plan override
Given I have plan invariants
| text | source |
| Log all changes | plan1 |
And I have action invariants
| text | source |
| Log all changes | action1 |
And I have project invariants
| text | source |
And I have global invariants
| text | source |
When I merge the invariants
Then the merged set should have 1 invariants
And the merged invariant at index 0 should have scope "plan"
Scenario: Inactive action invariants are excluded from merge
Given I have plan invariants with an inactive entry
And I have action invariants
| text | source |
| Active | action1 |
And I have project invariants
| text | source |
And I have global invariants
| text | source |
When I merge the invariants
Then the merged set should have 1 invariants
And the merged invariant at index 0 should have scope "action"
Scenario: Inactive invariants are excluded from merge
Given I have plan invariants with an inactive entry
And I have project invariants
@@ -561,7 +492,7 @@ Feature: Consolidated Domain Models
# === InvariantSet merge class method ===
Scenario: InvariantSet.merge produces correct result
Scenario: InvariantSet.merge produces correct result
Given I have plan invariants
| text | source |
| Plan rule | plan1 |
@@ -574,25 +505,7 @@ Scenario: InvariantSet.merge produces correct result
When I merge using InvariantSet
Then the invariant set should have 3 invariants
Scenario: InvariantSet.merge with four-tier precedence — Issue #9126
Given I have plan invariants
| text | source |
| Plan rule | plan1 |
And I have action invariants
| text | source |
| Action rule | action1 |
And I have project invariants
| text | source |
| Project rule | proj1 |
And I have global invariants
| text | source |
| Global rule | system |
When I merge using InvariantSet
Then the invariant set should have 4 invariants
# === Service: Add/List/Remove ===
# === Service: Add/List/Remove ===
Scenario: Service add invariant
@@ -661,16 +574,6 @@ Scenario: InvariantSet.merge produces correct result
And the effective set should contain global invariants last
Scenario: Effective invariants include action scope — Issue #9126
Given an invariant service with invariants at all four scopes
When I get effective invariants for plan "plan1", action "action1", and project "proj1"
Then the effective set should contain plan invariants first
And the effective set should contain action invariants second
And the effective set should contain project invariants after action
And the effective set should contain global invariants last
And the effective set should have 4 invariants
Scenario: Effective invariants de-duplicate across scopes
Given an invariant service with duplicate text across scopes
When I get effective invariants for plan "plan1" and project "proj1"
-2
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@@ -9,7 +9,6 @@ from .fake_provider import FakeProviderInfo, FakeProviderRegistry
from .lsp_transport_mock import MockLspTransport, parse_lsp_responses
from .mock_ai_provider import MockAIProvider
from .mock_mcp_transport import MockMCPTransport
from .recording_event_bus import RecordingEventBus
from .transient_fail_audit_service import TransientFailAuditService
# NOTE: tdd_test_helpers is NOT re-exported here because it imports
@@ -23,7 +22,6 @@ __all__ = [
"MockAIProvider",
"MockLspTransport",
"MockMCPTransport",
"RecordingEventBus",
"TransientFailAuditService",
"parse_lsp_responses",
]
@@ -107,6 +107,10 @@ def _make_assembler(
repo.get_context_policy.return_value = policy
else:
repo.get_context_policy.return_value = ProjectContextPolicy()
# Default: project context config with hot_max_tokens=None (falls back to constructor).
mock_cfg = MagicMock()
mock_cfg.hot_max_tokens = None
repo.get_project_context_config.return_value = mock_cfg
mock_pipeline = MagicMock()
if pipeline_result is not None:
-98
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@@ -135,11 +135,6 @@ def step_plan_invariants(context):
context.plan_invariants = _parse_invariant_table(context, InvariantScope.PLAN)
@given("I have action invariants")
def step_action_invariants(context):
context.action_invariants = _parse_invariant_table(context, InvariantScope.ACTION)
@given("I have project invariants")
def step_project_invariants(context):
context.project_invariants = _parse_invariant_table(context, InvariantScope.PROJECT)
@@ -165,7 +160,6 @@ def step_plan_invariants_inactive(context):
def step_merge(context):
context.merged = merge_invariants(
getattr(context, "plan_invariants", []),
getattr(context, "action_invariants", []),
getattr(context, "project_invariants", []),
getattr(context, "global_invariants", []),
)
@@ -186,43 +180,6 @@ def step_merged_scope(context, idx, scope):
assert context.merged[idx].scope.value == scope
@then("action invariants appear before project invariants in merge")
def step_action_before_project(context):
"""Verify ACTION tier comes before PROJECT tier in the merged result."""
action_invs = [i for i in context.merged if i.scope == InvariantScope.ACTION]
project_invs = [i for i in context.merged if i.scope == InvariantScope.PROJECT]
assert len(action_invs) > 0, "No action invariants found in merged result"
assert len(project_invs) > 0, "No project invariants found in merged result"
first_action_idx = context.merged.index(action_invs[0])
first_project_idx = context.merged.index(project_invs[0])
assert first_action_idx < first_project_idx, (
f"Action invariant at index {first_action_idx} "
f"should appear before project invariant at index {first_project_idx}"
)
@then("plan invariants appear before action invariants in merge")
def step_plan_before_action(context):
"""Verify PLAN tier comes before ACTION tier in the merged result."""
plan_invs = [i for i in context.merged if i.scope == InvariantScope.PLAN]
action_invs = [i for i in context.merged if i.scope == InvariantScope.ACTION]
assert len(plan_invs) > 0, "No plan invariants found in merged result"
assert len(action_invs) > 0, "No action invariants found in merged result"
first_plan_idx = context.merged.index(plan_invs[0])
first_action_idx = context.merged.index(action_invs[0])
assert first_plan_idx < first_action_idx, (
f"Plan invariant at index {first_plan_idx} "
f"should appear before action invariant at index {first_action_idx}"
)
@then("action invariants are preserved in merge result")
def step_action_invariants_preserved(context):
"""Verify that action-scoped invariants appear in the merged output."""
action_invs = [i for i in context.merged if i.scope == InvariantScope.ACTION]
assert len(action_invs) > 0, "Expected action-scoped invariants in merge result"
# ================================================================
# InvariantSet
# ================================================================
@@ -232,7 +189,6 @@ def step_action_invariants_preserved(context):
def step_merge_invariant_set(context):
inv_set = InvariantSet.merge(
getattr(context, "plan_invariants", []),
getattr(context, "action_invariants", []),
getattr(context, "project_invariants", []),
getattr(context, "global_invariants", []),
)
@@ -433,15 +389,6 @@ def step_service_all_scopes(context):
context.service.add_invariant("Plan rule", InvariantScope.PLAN, "plan1")
@given("an invariant service with invariants at all four scopes")
def step_service_all_four_scopes(context):
context.service = InvariantService()
context.service.add_invariant("Global rule", InvariantScope.GLOBAL, "system")
context.service.add_invariant("Project rule", InvariantScope.PROJECT, "proj1")
context.service.add_invariant("Action rule", InvariantScope.ACTION, "action1")
context.service.add_invariant("Plan rule", InvariantScope.PLAN, "plan1")
@when('I get effective invariants for plan "{plan_id}" and project "{project}"')
def step_effective(context, plan_id, project):
context.effective = context.service.get_effective_invariants(
@@ -449,15 +396,6 @@ def step_effective(context, plan_id, project):
)
@when(
'I get effective invariants for plan "{plan_id}", action "{action}", and project "{project}"'
)
def step_effective_with_action(context, plan_id, action, project):
context.effective = context.service.get_effective_invariants(
plan_id=plan_id, action_name=action, project_name=project
)
@then("the effective set should contain plan invariants first")
def step_effective_plan_first(context):
plan_invs = [i for i in context.effective if i.scope == InvariantScope.PLAN]
@@ -466,35 +404,6 @@ def step_effective_plan_first(context):
assert first_plan_idx == 0
@then("the effective set should contain action invariants second")
def step_effective_action_second(context):
"""Verify ACTION tier appears after PLAN and before PROJECT."""
plan_invs = [i for i in context.effective if i.scope == InvariantScope.PLAN]
action_invs = [i for i in context.effective if i.scope == InvariantScope.ACTION]
project_invs = [i for i in context.effective if i.scope == InvariantScope.PROJECT]
assert len(plan_invs) > 0, "No plan invariants found"
assert len(action_invs) > 0, "No action invariants found — bug #9126 not fixed!"
assert len(project_invs) > 0, "No project invariants found"
first_action_idx = context.effective.index(action_invs[0])
if plan_invs:
last_plan_idx = context.effective.index(plan_invs[-1])
assert first_action_idx > last_plan_idx
first_project_idx = context.effective.index(project_invs[0])
assert first_project_idx > first_action_idx
@then("the effective set should contain project invariants after action")
def step_effective_project_after_action(context):
"""Verify PROJECT tier appears after ACTION tier."""
action_invs = [i for i in context.effective if i.scope == InvariantScope.ACTION]
project_invs = [i for i in context.effective if i.scope == InvariantScope.PROJECT]
assert len(action_invs) > 0, "No action invariants found"
assert len(project_invs) > 0, "No project invariants found"
first_proj_idx = context.effective.index(project_invs[0])
last_action_idx = context.effective.index(action_invs[-1])
assert first_proj_idx > last_action_idx
@then("the effective set should contain project invariants second")
def step_effective_project_second(context):
proj_invs = [i for i in context.effective if i.scope == InvariantScope.PROJECT]
@@ -526,13 +435,6 @@ def step_no_duplicates(context):
assert len(texts) == len(set(texts)), f"Duplicates found: {texts}"
@then("the effective set should have {count:d} invariants")
def step_effective_count(context, count):
assert len(context.effective) == count, (
f"Expected {count}, got {len(context.effective)}"
)
# ================================================================
# Enforcement
# ================================================================
+1 -10
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@@ -57,6 +57,7 @@ E2E Plan Lifecycle Through Audit Pipeline
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} E2E_OK
User Identity Field Propagates Through Audit Pipeline
[Documentation] DomainEvent.user_identity propagates via AuditEventSubscriber to AuditService DB entry
[Tags] observability audit identity
@@ -86,13 +87,3 @@ User Identity Field Precedence Over Details
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} IDENTITY_PRECEDENCE_OK
Auth Middleware Emits Audit Events
[Documentation] End-to-end: TokenAuthMiddleware emits AUTH_SUCCESS/AUTH_FAILURE through audit pipeline
[Tags] observability audit auth
${result}= Run Process ${PYTHON} ${HELPER} auth_middleware_pipeline
... cwd=${WORKSPACE}
Log ${result.stdout}
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} AUTH_PIPELINE_OK
-100
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@@ -23,9 +23,6 @@ from cleveragents.application.services.audit_event_subscriber import ( # noqa:
from cleveragents.application.services.audit_service import ( # noqa: E402
AuditService,
)
from cleveragents.application.services.auth_middleware import ( # noqa: E402
TokenAuthMiddleware,
)
from cleveragents.application.services.plan_lifecycle_service import ( # noqa: E402
PlanLifecycleService,
)
@@ -326,102 +323,6 @@ def user_identity_field_precedence() -> None:
print("IDENTITY_PRECEDENCE_OK")
def auth_middleware_pipeline() -> None:
"""E2E: TokenAuthMiddleware -> EventBus -> AuditEventSubscriber -> DB."""
svc = _make_audit_service()
bus = ReactiveEventBus()
AuditEventSubscriber(audit_service=svc, event_bus=bus)
middleware = TokenAuthMiddleware(expected_token="tok_secret_123", event_bus=bus)
success = middleware.authenticate(
"tok_secret_123",
identity="carol@example.com",
ip_address="10.1.2.3",
)
failure = middleware.authenticate(
"tok_bad_123",
identity="dave@example.com",
ip_address="10.1.2.4",
)
if not success or failure:
print(
"FAIL: unexpected auth boolean results "
f"success={success} failure={failure}",
file=sys.stderr,
)
sys.exit(1)
success_entries = svc.list_entries(event_type="auth_success")
failure_entries = svc.list_entries(event_type="auth_failure")
if len(success_entries) != 1:
print(
f"FAIL: expected 1 auth_success entry, got {len(success_entries)}",
file=sys.stderr,
)
sys.exit(1)
if len(failure_entries) != 1:
print(
f"FAIL: expected 1 auth_failure entry, got {len(failure_entries)}",
file=sys.stderr,
)
sys.exit(1)
s_entry = success_entries[0]
f_entry = failure_entries[0]
s_details = s_entry.details
f_details = f_entry.details
if s_entry.user_identity != "carol@example.com":
print(
f"FAIL: unexpected auth_success identity {s_entry.user_identity!r}",
file=sys.stderr,
)
sys.exit(1)
if f_entry.user_identity != "unauthenticated":
print(
f"FAIL: unexpected auth_failure identity {f_entry.user_identity!r}",
file=sys.stderr,
)
sys.exit(1)
if s_details.get("ip_address") != "10.1.2.3":
print(
f"FAIL: unexpected auth_success ip {s_details.get('ip_address')!r}",
file=sys.stderr,
)
sys.exit(1)
if s_details.get("token_prefix") != "tok_se...":
print(
"FAIL: auth_success token_prefix mismatch",
file=sys.stderr,
)
sys.exit(1)
if f_details.get("ip_address") != "10.1.2.4":
print(
f"FAIL: unexpected auth_failure ip {f_details.get('ip_address')!r}",
file=sys.stderr,
)
sys.exit(1)
if f_details.get("attempted_identity") != "dave@example.com":
print(
"FAIL: auth_failure attempted_identity mismatch",
file=sys.stderr,
)
sys.exit(1)
if f_details.get("failure_reason") != "invalid_token":
print(
f"FAIL: unexpected auth_failure reason {f_details.get('failure_reason')!r}",
file=sys.stderr,
)
sys.exit(1)
if f_details.get("token_prefix") != "tok_ba...":
print(
"FAIL: auth_failure token_prefix mismatch",
file=sys.stderr,
)
sys.exit(1)
print("AUTH_PIPELINE_OK")
# ---------------------------------------------------------------------------
# Dispatch
# ---------------------------------------------------------------------------
@@ -435,7 +336,6 @@ _COMMANDS = {
"user_identity_field": user_identity_field,
"user_identity_details_fallback": user_identity_details_fallback,
"user_identity_field_precedence": user_identity_field_precedence,
"auth_middleware_pipeline": auth_middleware_pipeline,
}
if __name__ == "__main__":
-2
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@@ -867,7 +867,6 @@ def invariants_enforced_during_strategize() -> None:
merged = merge_invariants(
plan_invariants=[plan_inv],
action_invariants=[],
project_invariants=[project_inv],
global_invariants=[global_inv],
)
@@ -891,7 +890,6 @@ def invariants_enforced_during_strategize() -> None:
invariant_set = InvariantSet.merge(
plan_invariants=[plan_inv],
action_invariants=[],
project_invariants=[project_inv],
global_invariants=[global_inv],
)
+25 -90
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@@ -89,22 +89,7 @@ class AutoDebugAgent:
return workflow
def _analyze_error(self, state: AutoDebugState) -> dict[str, Any]:
"""Analyze the error message and code context.
Per LangGraph's node contract, this function returns a **partial-state**
dict (keys only for fields updated by this node); LangGraph merges
those keys into the existing workflow state. Mutating the input
``state`` in-place is avoided we build a new messages list via
unpacking so that concurrent graph runs and checkpoint writes stay
isolated, per HAL9000 observation #2 (LLM peer review).
Args:
state: Current workflow state.
Returns:
Partial-state dict with an appended ``messages`` entry.
"""
def _analyze_error(self, state: AutoDebugState) -> AutoDebugState:
logger.info("Analyzing error message")
error_msg = state.get("error_message", "")
@@ -144,31 +129,17 @@ Analyze this error and provide insights."""
logger.warning("LLM analysis failed, using fallback: %s", exc)
analysis = "Error analysis completed"
return {
"messages": [
*state.get("messages", []),
{
"role": "assistant",
"content": analysis,
"type": "error_analysis",
},
],
}
state.setdefault("messages", []).append(
{
"role": "assistant",
"content": analysis,
"type": "error_analysis",
}
)
def _generate_fix(self, state: AutoDebugState) -> dict[str, Any]:
"""Generate a fix suggestion.
return state
Per LangGraph's node contract, this function returns a **partial-state**
dict containing only the ``current_fix`` key it updates; omitted keys
(e.g., ``messages``, ``attempted_fixes``) are left unchanged in the
workflow state (LangGraph merges behavior).
Args:
state: Current workflow state.
Returns:
Partial-state dict with the new ``current_fix`` value.
"""
def _generate_fix(self, state: AutoDebugState) -> AutoDebugState:
logger.info("Generating fix suggestion")
error_analysis = next(
@@ -249,28 +220,10 @@ Generate fix attempt #{attempt_num}."""
"files_to_modify": [],
}
return {"current_fix": fix_data}
state["current_fix"] = fix_data
return state
def _validate_fix(self, state: AutoDebugState) -> dict[str, Any]:
"""Validate the proposed fix.
Per LangGraph's node contract this function returns a **partial-state**
dict. When the fix is invalid we include both ``fix_validated`` and
``attempted_fixes`` keys; when valid only ``fix_validated`` is returned
LangGraph treats omitted keys as "leave unchanged".
Security note: the exception handler defaults to **fail-close**
(``is_valid = False``) rather than the previous fail-open (``True``),
preventing a crashed LLM validator from accidentally marking an
unvalidated fix as acceptable. Closes #10496.
Args:
state: Current workflow state.
Returns:
Partial-state dict with validation result and, on failure, the
current fix appended to ``attempted_fixes``.
"""
def _validate_fix(self, state: AutoDebugState) -> AutoDebugState:
logger.info("Validating fix")
current_fix = state.get("current_fix", {})
@@ -323,51 +276,33 @@ Validate this fix."""
)
except Exception as exc: # pragma: no cover - defensive
logger.warning("LLM validation failed, using fallback: %s", exc)
is_valid = False
is_valid = True
state["fix_validated"] = is_valid
if not is_valid:
attempted_fixes = state.get("attempted_fixes", [])
return {
"fix_validated": is_valid,
"attempted_fixes": [*attempted_fixes, current_fix],
}
attempted_fixes.append(current_fix)
state["attempted_fixes"] = attempted_fixes
return {"fix_validated": is_valid}
return state
def _should_retry_fix(self, state: AutoDebugState) -> str:
"""Decide whether to retry fix generation.
This conditional-edge function is read-only from LangGraph's
perspective any mutations it makes to ``state`` are silently
discarded. Only the keys that are returned by node functions are
merged into the workflow state.
"""
if not state.get("fix_validated", False):
attempts = len(state.get("attempted_fixes", []))
if attempts < self.max_fix_attempts:
return "retry"
return "done"
def _finalize(self, state: AutoDebugState) -> dict[str, Any]:
"""Finalize auto-debug results.
Returns a partial-state dict containing only the ``result`` key.
Args:
state: Current workflow state.
Returns:
Partial-state dict with the final ``result`` summary.
"""
def _finalize(self, state: AutoDebugState) -> AutoDebugState:
logger.info("Finalizing auto-debug results")
return {
"result": {
"success": state.get("fix_validated", False),
"fix": state.get("current_fix"),
"attempts": len(state.get("attempted_fixes", [])),
},
state["result"] = {
"success": state.get("fix_validated", False),
"fix": state.get("current_fix"),
"attempts": len(state.get("attempted_fixes", [])),
}
return state
def invoke(
self, input_state: AutoDebugState, config: dict[str, Any] | None = None
-27
View File
@@ -23,7 +23,6 @@ from cleveragents.application.services.audit_event_subscriber import (
AuditEventSubscriber,
)
from cleveragents.application.services.audit_service import AuditService
from cleveragents.application.services.auth_middleware import TokenAuthMiddleware
from cleveragents.application.services.automation_profile_service import (
AutomationProfileService,
)
@@ -411,25 +410,6 @@ def _resolve_auto_reindex() -> bool:
return True
def _resolve_server_token() -> str | None:
"""Resolve ``server.token`` from config, returning ``None`` when unset."""
try:
svc = ConfigService()
resolved = svc.resolve("server.token")
raw = resolved.value
if raw is None:
return None
token = str(raw).strip()
return token if token else None
except Exception as exc:
_logger.warning(
"server_token_resolution_failed",
error_type=type(exc).__name__,
error_message=redact_value(str(exc)),
)
return None
def _build_analyzer_registry() -> AnalyzerRegistry:
"""Build an AnalyzerRegistry with built-in analyzers registered."""
from cleveragents.domain.models.acms.python_analyzer import PythonAnalyzer
@@ -687,13 +667,6 @@ class Container(containers.DeclarativeContainer):
# Event Bus - Singleton (one shared instance for the process)
event_bus = providers.Singleton(ReactiveEventBus)
# Per-request auth middleware with fresh token resolution from config.
auth_middleware = providers.Factory(
TokenAuthMiddleware,
expected_token=providers.Callable(_resolve_server_token),
event_bus=event_bus,
)
# Services - Factory (new instance per request with injected dependencies)
project_service = providers.Factory(
ProjectService,
@@ -37,13 +37,19 @@ _logger = structlog.get_logger(__name__)
SECURITY_EVENT_MAP: dict[EventType, str] = {
EventType.PLAN_APPLIED: "plan_applied",
EventType.PLAN_CANCELLED: "plan_cancelled",
# Emitted by ResourceFileWatcher when indexed resources change.
# NOTE: RESOURCE_MODIFIED has no producing service yet — the tool
# execution framework does not emit this event. The subscriber handler
# is intentionally registered so that audit entries are automatically
# created once tool-write event emission is implemented.
EventType.RESOURCE_MODIFIED: "resource_modified",
EventType.CORRECTION_APPLIED: "correction_applied",
EventType.CONFIG_CHANGED: "config_changed",
EventType.ENTITY_DELETED: "entity_deleted",
EventType.SESSION_CREATED: "session_created",
# Emitted by TokenAuthMiddleware during bearer-token checks.
# NOTE: AUTH_SUCCESS and AUTH_FAILURE have no producing service yet —
# server-mode authentication is not implemented. The subscriber handlers
# are registered so that audit entries are automatically created once
# server auth emits these events.
EventType.AUTH_SUCCESS: "auth_success",
EventType.AUTH_FAILURE: "auth_failure",
}
@@ -22,6 +22,7 @@ from cleveragents.domain.models.core.context_fragment import (
FragmentProvenance as CoreFragmentProvenance,
)
from cleveragents.domain.models.core.context_policy import ProjectContextPolicy
from cleveragents.domain.models.core.project import ContextConfig
from cleveragents.infrastructure.database.repositories import (
NamespacedProjectRepository,
)
@@ -45,12 +46,13 @@ class ACMSExecutePhaseContextAssembler(ExecutePhaseContextAssembler):
context_tier_service: Any,
project_repository: NamespacedProjectRepository,
acms_pipeline: ACMSPipeline | None = None,
hot_max_tokens: int = 4096,
hot_max_tokens: int | None = None,
) -> None:
self._tier = context_tier_service
self._project_repository = project_repository
self._pipeline = acms_pipeline or ACMSPipeline()
self._hot_max_tokens = hot_max_tokens
# Global/container-level fallback when no project-level value is set.
self._fallback_hot_max_tokens = hot_max_tokens
self._logger = logger.bind(component="execute_phase_context_assembler")
@property
@@ -166,6 +168,47 @@ class ACMSExecutePhaseContextAssembler(ExecutePhaseContextAssembler):
return False
return not (exclude and _matches_any(exclude))
def _resolve_effective_hot_max_tokens(
self, project_names: list[str],
) -> int:
"""Return the effective hot-tier max-tokens for *project_names*.
Resolves per-project ``ContextConfig.hot_max_tokens`` values. The
maximum non-None value found across all linked projects is used
so that a multi-project plan can benefit from the most generous
per-project budget setting. When no project provides a value,
falls back to the container/global default stored in
``self._fallback_hot_max_tokens``; if that is also unset, returns
the historical safety-net of **4096**.
"""
candidates: list[int] = []
for name in project_names:
try:
config: ContextConfig = (
self._project_repository.get_project_context_config(name)
)
raw = config.hot_max_tokens
if raw is not None and isinstance(raw, int):
candidates.append(raw)
except Exception:
self._logger.warning(
"context_config_lookup_failed",
project_name=name,
exc_info=True,
)
# Use the maximum project-level value (most generous wins).
if candidates:
return max(candidates)
# Fall back to container/global default.
if self._fallback_hot_max_tokens is not None:
return self._fallback_hot_max_tokens
# Absolute safety-net.
return 4096
@staticmethod
def _resource_matches(
resource_id: str, include: list[str], exclude: list[str]
@@ -11,8 +11,8 @@ a dict keyed by invariant ID.
## Merge Precedence
Effective invariants are computed using plan > action > project > global
order. See ``merge_invariants`` for de-duplication semantics.
Effective invariants are computed using plan > project > global order.
See ``merge_invariants`` for de-duplication semantics.
Based on ``docs/specification.md`` and implementation plan Stage M3.5.
"""
@@ -124,7 +124,6 @@ class InvariantService:
if effective:
return self.get_effective_invariants(
plan_id=source_name if scope == InvariantScope.PLAN else None,
action_name=source_name if scope == InvariantScope.ACTION else None,
project_name=source_name if scope == InvariantScope.PROJECT else None,
)
@@ -168,22 +167,16 @@ class InvariantService:
def get_effective_invariants(
self,
plan_id: str | None = None,
action_name: str | None = None,
project_name: str | None = None,
) -> list[Invariant]:
"""Return the merged precedence chain for a plan/action/project context.
"""Return the merged precedence chain for a plan/project context.
Collects active invariants from each scope tier and merges them
using plan > action > project > global precedence.
using plan > project > global precedence.
Args:
plan_id: Optional plan identifier to collect plan-scoped
invariants.
action_name: Optional action name to collect action-scoped
invariants (promoted to plan-level during reconciliation).
When ``None``, the action tier is omitted for backward
compatibility. Pass ``"*"`` to include all action-scoped
invariants regardless of source name.
project_name: Optional project name to collect project-scoped
invariants.
@@ -198,13 +191,6 @@ class InvariantService:
if inv.scope == InvariantScope.PLAN
and (plan_id is None or inv.source_name == plan_id)
]
action_invs = [
inv
for inv in active
if inv.scope == InvariantScope.ACTION
and action_name is not None # Only include when explicitly requested
and (inv.source_name == action_name or action_name == "*")
]
project_invs = [
inv
for inv in active
@@ -213,7 +199,7 @@ class InvariantService:
]
global_invs = [inv for inv in active if inv.scope == InvariantScope.GLOBAL]
return merge_invariants(plan_invs, action_invs, project_invs, global_invs)
return merge_invariants(plan_invs, project_invs, global_invs)
def enforce_invariants(
self,
@@ -2,10 +2,9 @@
Invariants are natural-language constraints on plan execution, scoped at
global, project, action, or plan level. When an action is used, its
invariants are promoted to plan-level and participate in the merge.
The runtime precedence chain is:
invariants are promoted to plan-level. The runtime precedence chain is:
plan > action > project > global
plan > project > global
They are reconciled by the Invariant Reconciliation Actor at the start
of Strategize and recorded as ``invariant_enforced`` decisions.
@@ -22,8 +21,8 @@ of Strategize and recorded as ``invariant_enforced`` decisions.
## Merge Precedence
When computing the effective set of invariants for a plan, the merge
order is **plan > action > project > global**. Duplicate texts
(case-insensitive) are de-duplicated, keeping the highest-precedence copy.
order is **plan > project > global**. Duplicate texts (case-insensitive)
are de-duplicated, keeping the highest-precedence copy.
Based on ``docs/specification.md`` and implementation plan Stage M3.5.
"""
@@ -40,10 +39,8 @@ from ulid import ULID
class InvariantScope(StrEnum):
"""Scope at which an invariant applies.
Precedence (highest to lowest): PLAN > ACTION > PROJECT > GLOBAL.
ACTION invariants are promoted to plan-level and participate in the
merge during reconciliation, sitting between PLAN and PROJECT in the
precedence chain.
Precedence (highest to lowest): PLAN > PROJECT > GLOBAL.
ACTION invariants are promoted to PLAN scope at ``plan use`` time.
"""
GLOBAL = "global"
@@ -140,11 +137,10 @@ class InvariantSet(BaseModel):
def merge(
cls,
plan_invariants: list[Invariant],
action_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant] | None = None,
global_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant],
global_invariants: list[Invariant],
) -> InvariantSet:
"""Merge invariants respecting plan > action > project > global precedence.
"""Merge invariants respecting plan > project > global precedence.
De-duplicates by text (case-insensitive), keeping the copy from
the highest-precedence tier. Within each tier, source ordering
@@ -152,9 +148,6 @@ class InvariantSet(BaseModel):
Args:
plan_invariants: Plan-level invariants (highest precedence).
action_invariants: Action-scoped invariants (second-highest
precedence; promoted to plan-level when an
action is used).
project_invariants: Project-level invariants.
global_invariants: Global-level invariants (lowest precedence).
@@ -163,12 +156,7 @@ class InvariantSet(BaseModel):
"""
return cls(
invariants=tuple(
merge_invariants(
plan_invariants,
action_invariants or [],
project_invariants or [],
global_invariants or [],
)
merge_invariants(plan_invariants, project_invariants, global_invariants)
)
)
@@ -177,11 +165,10 @@ class InvariantSet(BaseModel):
def merge_invariants(
plan_invariants: list[Invariant],
action_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant] | None = None,
global_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant],
global_invariants: list[Invariant],
) -> list[Invariant]:
"""Merge invariants implementing plan > action > project > global precedence.
"""Merge invariants implementing plan > project > global precedence.
De-duplicates by text (case-insensitive). The first occurrence
(from the highest-precedence tier) wins. Within each tier, the
@@ -189,13 +176,8 @@ def merge_invariants(
Args:
plan_invariants: Plan-level invariants (highest precedence).
action_invariants: Action-scoped invariants (second-highest
precedence; promoted to plan level when an action is used).
Defaults to empty list when ``None``.
project_invariants: Project-level invariants. Defaults to empty
list when ``None``.
project_invariants: Project-level invariants.
global_invariants: Global-level invariants (lowest precedence).
Defaults to empty list when ``None``.
Returns:
A de-duplicated list of invariants in precedence order.
@@ -203,12 +185,7 @@ def merge_invariants(
seen: set[str] = set()
result: list[Invariant] = []
for inv_list in (
plan_invariants,
action_invariants or [],
project_invariants or [],
global_invariants or [],
):
for inv_list in (plan_invariants, project_invariants, global_invariants):
for inv in inv_list:
if not inv.active:
continue
@@ -3146,6 +3146,56 @@ class NamespacedProjectRepository(ProjectRepositoryProtocol):
finally:
session.close()
@database_retry
def get_project_context_config(self, namespaced_name: str) -> Any:
"""Return a project's stored ``ContextConfig`` or the default.
Unlike :meth:`get_context_policy` which returns a
``ProjectContextPolicy``, this method returns the full
``ContextConfig`` containing memory-tier settings such as
hot_max_tokens, warm/cold tier limits, and more.
Args:
namespaced_name: The project's ``namespace/name`` string.
Returns:
A ``ContextConfig`` instance (default if the project or its
config is not found).
"""
from cleveragents.domain.models.core.project import ContextConfig
session = self._session()
try:
row = (
session.query(NamespacedProjectModel)
.filter_by(namespaced_name=namespaced_name)
.first()
)
if row is None or row.context_policy_json is None:
return ContextConfig()
payload = json.loads(cast(str, row.context_policy_json))
if not isinstance(payload, dict):
_log.warning(
"project_context_config_payload_invalid",
project_name=namespaced_name,
)
return ContextConfig()
return ContextConfig.model_validate(payload)
except (ValueError, TypeError):
_log.warning(
"project_context_config_invalid",
project_name=namespaced_name,
exc_info=True,
)
return ContextConfig()
except (OperationalError, SQLAlchemyDatabaseError) as exc:
raise DatabaseError(
f"Failed to load project context config for '{namespaced_name}': {exc}"
) from exc
finally:
session.close()
@database_retry
def update(self, project: Any) -> Any:
"""Update mutable fields of an existing project.
+27 -5
View File
@@ -143,11 +143,33 @@ class StdioTransport:
self._process = None
raise
logger.info(
"lsp.transport.started",
pid=self._process.pid,
command=self._command,
)
try:
logger.info(
"lsp.transport.started",
pid=self._process.pid,
command=self._command,
)
except Exception:
# Post-spawn initialization failed — clean up the orphaned
# subprocess to prevent resource leaks. We re-raise the
# original exception so callers still get proper error
# semantics; this block only ensures resources are freed.
logger.warning(
"lsp.transport.start_post_init_failed",
pid=self._process.pid,
)
self._process.terminate()
try:
self._process.wait(timeout=_GRACEFUL_SHUTDOWN_TIMEOUT)
except subprocess.TimeoutExpired:
logger.warning(
"lsp.transport.force_killing_cleanup",
pid=self._process.pid,
)
self._process.kill()
self._process.wait(timeout=2.0)
self._process = None
raise
def stop(self, timeout: float = _GRACEFUL_SHUTDOWN_TIMEOUT) -> int | None:
"""Terminate the subprocess gracefully, then force-kill if needed.
-1
View File
@@ -42,7 +42,6 @@ _SENSITIVE_SUBSTRINGS: set[str] = {
# though they contain a sensitive substring (e.g. "token_count").
_FALSE_POSITIVE_KEYS: set[str] = {
"token_count",
"token_prefix",
"token_limit",
"token_usage",
"input_tokens",