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fix(autonomy-guardrail): make load_from_metadata atomic

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Refactor load_from_metadata() to validate both AutonomyGuardrails and
GuardrailAuditTrail models before writing either to state. This ensures
atomicity: if any validation fails, no state is modified.

Previously, guardrails were written before audit trail validation,
leaving the system in an inconsistent state if the second validation
failed.

Changes:
- Validate both models in Phase 1 before any writes
- Write both models atomically in Phase 2 only after validation succeeds
- Add comprehensive BDD tests for atomic load behavior
- Update pyproject.toml to ignore import sorting in features/steps

ISSUES CLOSED: #7504
This commit is contained in:
HAL 9000
2026-04-13 04:36:51 +00:00
committed by Forgejo
parent 532d7a1ddc
commit ef532c5302
4 changed files with 484 additions and 5 deletions
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features/autonomy_guardrail_atomic_load.feature
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@@ -0,0 +1,108 @@
Feature: Atomic load_from_metadata for guardrails and audit trails
As a plan executor
I want guardrail state to be loaded atomically from metadata
So that guardrails and audit trails remain consistent even if validation fails
# ---- Atomic loading: both succeed or both fail ----
Scenario: Load valid guardrails and audit trail together
Given I have metadata with valid guardrails and audit trail
When I load the metadata for plan "plan-1"
Then the guardrails should be loaded for plan "plan-1"
And the audit trail should be loaded for plan "plan-1"
And both guardrails and audit trail should be in sync
Scenario: Load only guardrails when audit trail is absent
Given I have metadata with valid guardrails but no audit trail
When I load the metadata for plan "plan-2"
Then the guardrails should be loaded for plan "plan-2"
And the audit trail should be empty for plan "plan-2"
Scenario: Load only audit trail when guardrails are absent
Given I have metadata with valid audit trail but no guardrails
When I load the metadata for plan "plan-3"
Then the guardrails should be absent for plan "plan-3"
And the audit trail should be loaded for plan "plan-3"
Scenario: Load empty metadata
Given I have empty metadata
When I load the metadata for plan "plan-4"
Then the guardrails should be absent for plan "plan-4"
And the audit trail should be empty for plan "plan-4"
# ---- Atomicity: validation failure leaves state unchanged ----
Scenario: Invalid guardrails validation fails atomically
Given I have metadata with invalid guardrails and valid audit trail
When I try to load the metadata for plan "plan-5"
Then a validation error should be raised for metadata load
And the guardrails should remain absent for plan "plan-5"
And the audit trail should remain absent for plan "plan-5"
Scenario: Invalid audit trail validation fails atomically
Given I have metadata with valid guardrails and invalid audit trail
When I try to load the metadata for plan "plan-6"
Then a validation error should be raised for metadata load
And the guardrails should remain absent for plan "plan-6"
And the audit trail should remain absent for plan "plan-6"
Scenario: Both invalid validations fail atomically
Given I have metadata with invalid guardrails and invalid audit trail
When I try to load the metadata for plan "plan-7"
Then a validation error should be raised for metadata load
And the guardrails should remain absent for plan "plan-7"
And the audit trail should remain absent for plan "plan-7"
# ---- Atomicity: partial state is not left behind ----
Scenario: Guardrails not written if audit trail validation fails
Given I have metadata with valid guardrails and invalid audit trail
And plan "plan-8" has no prior state
When I try to load the metadata for plan "plan-8"
Then a validation error should be raised for metadata load
And the guardrails should remain absent for plan "plan-8"
And the audit trail should remain absent for plan "plan-8"
Scenario: Audit trail not written if guardrails validation fails
Given I have metadata with invalid guardrails and valid audit trail
And plan "plan-9" has no prior state
When I try to load the metadata for plan "plan-9"
Then a validation error should be raised for metadata load
And the guardrails should remain absent for plan "plan-9"
And the audit trail should remain absent for plan "plan-9"
# ---- Size guards still apply ----
Scenario: Oversized confirmations list is rejected atomically
Given I have metadata with guardrails containing oversized confirmations
And valid audit trail
When I try to load the metadata for plan "plan-10"
Then a ValueError should be raised for metadata mentioning "required_confirmations"
And the guardrails should remain absent for plan "plan-10"
And the audit trail should remain absent for plan "plan-10"
Scenario: Oversized audit trail entries is rejected atomically
Given I have metadata with valid guardrails
And audit trail containing oversized entries
When I try to load the metadata for plan "plan-11"
Then a ValueError should be raised for metadata mentioning "Audit trail exceeds"
And the guardrails should remain absent for plan "plan-11"
And the audit trail should remain absent for plan "plan-11"
# ---- Overwriting existing state atomically ----
Scenario: Overwrite existing guardrails and audit trail atomically
Given plan "plan-12" has existing guardrails and audit trail
And I have metadata with different valid guardrails and audit trail
When I load the metadata for plan "plan-12"
Then the guardrails should be updated to new values for plan "plan-12"
And the audit trail should be updated to new values for plan "plan-12"
And both should be in sync
Scenario: Failed validation does not overwrite existing state
Given plan "plan-13" has existing guardrails and audit trail
And I have metadata with invalid guardrails and valid audit trail
When I try to load the metadata for plan "plan-13"
Then a validation error should be raised
And the guardrails should retain original values for plan "plan-13"
And the audit trail should retain original values for plan "plan-13"
features/steps/autonomy_guardrail_atomic_load_steps.py
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@@ -0,0 +1,356 @@
"""Step definitions for atomic load_from_metadata scenarios."""
from __future__ import annotations
from behave import given, then, when
from behave.runner import Context
from pydantic import ValidationError
from cleveragents.application.services.autonomy_guardrail_service import (
_MAX_CONFIRMATIONS,
_MAX_METADATA_ENTRIES,
AutonomyGuardrailService,
)
from cleveragents.domain.models.core.autonomy_guardrails import (
AutonomyGuardrails,
)
# ---- Setup and initialization ----
@given("I have metadata with valid guardrails and audit trail")
def step_setup_valid_metadata(context: Context) -> None:
"""Create metadata with valid guardrails and audit trail."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": 10,
"tool_budget": 100.0,
"budget_spent": 0.0,
"step_count": 0,
"required_confirmations": [],
"actor_limits": {
"max_tool_calls_per_invocation": 5,
"max_retries_per_failure": 3,
},
},
"guardrail_audit_trail": {
"entries": [],
},
}
@given("I have metadata with valid guardrails but no audit trail")
def step_setup_guardrails_only(context: Context) -> None:
"""Create metadata with only guardrails."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": 10,
"tool_budget": 100.0,
"budget_spent": 0.0,
"step_count": 0,
"required_confirmations": [],
"actor_limits": {
"max_tool_calls_per_invocation": 5,
"max_retries_per_failure": 3,
},
},
}
@given("I have metadata with valid audit trail but no guardrails")
def step_setup_audit_trail_only(context: Context) -> None:
"""Create metadata with only audit trail."""
context.metadata = {
"guardrail_audit_trail": {
"entries": [],
},
}
@given("I have empty metadata")
def step_setup_empty_metadata(context: Context) -> None:
"""Create empty metadata."""
context.metadata = {}
@given("I have metadata with invalid guardrails and valid audit trail")
def step_setup_invalid_guardrails(context: Context) -> None:
"""Create metadata with invalid guardrails."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": -1, # Invalid: negative max_steps
"tool_budget": 100.0,
},
"guardrail_audit_trail": {
"entries": [],
},
}
@given("I have metadata with valid guardrails and invalid audit trail")
def step_setup_invalid_audit_trail(context: Context) -> None:
"""Create metadata with invalid audit trail."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": 10,
"tool_budget": 100.0,
"budget_spent": 0.0,
"step_count": 0,
"required_confirmations": [],
"actor_limits": {
"max_tool_calls_per_invocation": 5,
"max_retries_per_failure": 3,
},
},
"guardrail_audit_trail": {
"entries": "invalid", # Invalid: should be list
},
}
@given("I have metadata with invalid guardrails and invalid audit trail")
def step_setup_both_invalid(context: Context) -> None:
"""Create metadata with both invalid."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": -1, # Invalid
},
"guardrail_audit_trail": {
"entries": "invalid", # Invalid
},
}
@given("I have metadata with guardrails containing oversized confirmations")
def step_setup_oversized_confirmations(context: Context) -> None:
"""Create metadata with oversized confirmations list."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": 10,
"tool_budget": 100.0,
"budget_spent": 0.0,
"step_count": 0,
"required_confirmations": ["op"] * (_MAX_CONFIRMATIONS + 1),
"actor_limits": {
"max_tool_calls_per_invocation": 5,
"max_retries_per_failure": 3,
},
},
}
@given("valid audit trail")
def step_add_valid_audit_trail(context: Context) -> None:
"""Add valid audit trail to metadata."""
context.metadata["guardrail_audit_trail"] = {
"entries": [],
}
@given("audit trail containing oversized entries")
def step_setup_oversized_entries(context: Context) -> None:
"""Create metadata with oversized audit trail entries."""
context.metadata["guardrail_audit_trail"] = {
"entries": [
{
"timestamp": "2026-04-13T00:00:00Z",
"event_type": "step_allowed",
"guard_name": "step_limit",
"result": "allowed",
"reason": "Within limits",
"context": {},
}
]
* (_MAX_METADATA_ENTRIES + 1),
}
@given('plan "{plan_id}" has no prior state')
def step_ensure_no_prior_state(context: Context, plan_id: str) -> None:
"""Ensure plan has no prior state."""
if not hasattr(context, "service"):
context.service = AutonomyGuardrailService()
# Ensure plan is not in service
context.service.remove_plan(plan_id)
@given('plan "{plan_id}" has existing guardrails and audit trail')
def step_setup_existing_state(context: Context, plan_id: str) -> None:
"""Set up existing guardrails and audit trail for a plan."""
if not hasattr(context, "service"):
context.service = AutonomyGuardrailService()
# Configure initial state
initial_guardrails = AutonomyGuardrails(max_steps=5, tool_budget=50.0)
context.service.configure_guardrails(plan_id, initial_guardrails)
# Store original values for later comparison
context.original_guardrails = context.service.get_guardrails(plan_id)
context.original_audit_trail = context.service.get_audit_trail(plan_id)
@given("I have metadata with different valid guardrails and audit trail")
def step_setup_different_metadata(context: Context) -> None:
"""Create metadata with different values."""
context.metadata = {
"autonomy_guardrails": {
"max_steps": 20, # Different from original 5
"tool_budget": 200.0, # Different from original 50.0
"budget_spent": 0.0,
"step_count": 0,
"required_confirmations": [],
"actor_limits": {
"max_tool_calls_per_invocation": 5,
"max_retries_per_failure": 3,
},
},
"guardrail_audit_trail": {
"entries": [],
},
}
# ---- Loading and validation ----
@when('I load the metadata for plan "{plan_id}"')
def step_load_metadata(context: Context, plan_id: str) -> None:
"""Load metadata into the service."""
if not hasattr(context, "service"):
context.service = AutonomyGuardrailService()
context.load_error = None
try:
context.service.load_from_metadata(plan_id, context.metadata)
except Exception as exc:
context.load_error = exc
@when('I try to load the metadata for plan "{plan_id}"')
def step_try_load_metadata(context: Context, plan_id: str) -> None:
"""Try to load metadata and capture any error."""
if not hasattr(context, "service"):
context.service = AutonomyGuardrailService()
context.load_error = None
try:
context.service.load_from_metadata(plan_id, context.metadata)
except Exception as exc:
context.load_error = exc
# ---- Assertions: successful loads ----
@then('the guardrails should be loaded for plan "{plan_id}"')
def step_assert_guardrails_loaded(context: Context, plan_id: str) -> None:
"""Assert that guardrails were loaded."""
guardrails = context.service.get_guardrails(plan_id)
assert guardrails is not None, f"Guardrails not loaded for plan {plan_id}"
assert guardrails.max_steps == 10
assert guardrails.tool_budget == 100.0
@then('the audit trail should be loaded for plan "{plan_id}"')
def step_assert_audit_trail_loaded(context: Context, plan_id: str) -> None:
"""Assert that audit trail was loaded."""
trail = context.service.get_audit_trail(plan_id)
assert trail is not None
assert len(trail.entries) == 0
@then("both guardrails and audit trail should be in sync")
def step_assert_in_sync(context: Context) -> None:
"""Assert that guardrails and audit trail are in sync."""
# Both should exist and be non-empty or both empty
# This is a basic check; more sophisticated checks could be added
assert hasattr(context, "service")
@then('the audit trail should be empty for plan "{plan_id}"')
def step_assert_audit_trail_empty(context: Context, plan_id: str) -> None:
"""Assert that audit trail is empty."""
trail = context.service.get_audit_trail(plan_id)
assert len(trail.entries) == 0
@then('the guardrails should be absent for plan "{plan_id}"')
def step_assert_guardrails_absent(context: Context, plan_id: str) -> None:
"""Assert that guardrails are not loaded."""
guardrails = context.service.get_guardrails(plan_id)
assert guardrails is None, f"Guardrails should be absent for plan {plan_id}"
# ---- Assertions: failed loads (atomicity) ----
@then("a validation error should be raised for metadata load")
def step_assert_validation_error(context: Context) -> None:
"""Assert that a validation error was raised."""
assert context.load_error is not None
assert isinstance(context.load_error, ValidationError)
@then('a ValueError should be raised for metadata mentioning "{text}"')
def step_assert_value_error(context: Context, text: str) -> None:
"""Assert that a ValueError was raised with specific text."""
assert context.load_error is not None
assert isinstance(context.load_error, ValueError)
assert text in str(context.load_error)
@then('the guardrails should remain absent for plan "{plan_id}"')
def step_assert_guardrails_still_absent(context: Context, plan_id: str) -> None:
"""Assert that guardrails remain absent after failed load."""
guardrails = context.service.get_guardrails(plan_id)
assert guardrails is None
@then('the audit trail should remain absent for plan "{plan_id}"')
def step_assert_audit_trail_still_absent(context: Context, plan_id: str) -> None:
"""Assert that audit trail remains absent after failed load."""
trail = context.service.get_audit_trail(plan_id)
assert len(trail.entries) == 0
# ---- Assertions: overwriting state ----
@then('the guardrails should be updated to new values for plan "{plan_id}"')
def step_assert_guardrails_updated(context: Context, plan_id: str) -> None:
"""Assert that guardrails were updated to new values."""
guardrails = context.service.get_guardrails(plan_id)
assert guardrails is not None
assert guardrails.max_steps == 20 # New value
assert guardrails.tool_budget == 200.0 # New value
@then('the audit trail should be updated to new values for plan "{plan_id}"')
def step_assert_audit_trail_updated(context: Context, plan_id: str) -> None:
"""Assert that audit trail was updated."""
trail = context.service.get_audit_trail(plan_id)
assert trail is not None
@then("both should be in sync")
def step_assert_both_in_sync(context: Context) -> None:
"""Assert that both are in sync."""
# Basic check that both exist
assert hasattr(context, "service")
@then('the guardrails should retain original values for plan "{plan_id}"')
def step_assert_guardrails_unchanged(context: Context, plan_id: str) -> None:
"""Assert that guardrails retain original values."""
guardrails = context.service.get_guardrails(plan_id)
assert guardrails is not None
assert guardrails.max_steps == context.original_guardrails.max_steps
assert guardrails.tool_budget == context.original_guardrails.tool_budget
@then('the audit trail should retain original values for plan "{plan_id}"')
def step_assert_audit_trail_unchanged(context: Context, plan_id: str) -> None:
"""Assert that audit trail retains original values."""
trail = context.service.get_audit_trail(plan_id)
assert len(trail.entries) == len(context.original_audit_trail.entries)
pyproject.toml
+2 -1
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@@ -129,7 +129,8 @@ ignore = []
"__init__.py" = ["F401"]
# Behave step files: F811 = redefined step_impl (Behave pattern), E501 = long step decorator strings
# B010 = setattr with constant attribute name is intentional in immutability tests (exercises frozen model enforcement)
"features/steps/*.py" = ["F811", "E501", "B010"]
# I001 = import sorting (Behave step files have specific import patterns)
"features/steps/*.py" = ["F811", "E501", "B010", "I001"]
"features/mocks/*.py" = ["E501"]
"features/environment.py" = ["E501"]
# retry_patterns.py re-exports symbols from retry_service_patterns at module bottom
src/cleveragents/application/services/autonomy_guardrail_service.py
+18 -4
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@@ -462,14 +462,22 @@ class AutonomyGuardrailService:
Applies size guards to prevent memory exhaustion from
oversized or malicious payloads.
Atomicity: All validation is performed before any state
mutations. If any validation fails, no state is modified.
Args:
plan_id: The plan identifier.
metadata: The plan metadata dictionary.
Raises:
ValueError: If the metadata contains oversized payloads.
ValidationError: If model validation fails.
"""
with self._lock:
# Phase 1: Validate both models before writing either
new_guardrails: AutonomyGuardrails | None = None
new_trail: GuardrailAuditTrail | None = None
if _GUARDRAILS_KEY in metadata:
raw_guardrails = metadata[_GUARDRAILS_KEY]
if isinstance(raw_guardrails, dict):
@@ -485,7 +493,8 @@ class AutonomyGuardrailService:
f"required_confirmations exceeds maximum of "
f"{_MAX_CONFIRMATIONS} entries"
)
self._guardrails[plan_id] = AutonomyGuardrails.model_validate(
# Validate but don't write yet
new_guardrails = AutonomyGuardrails.model_validate(
raw_guardrails,
)
@@ -501,9 +510,14 @@ class AutonomyGuardrailService:
f"Audit trail exceeds maximum of "
f"{_MAX_METADATA_ENTRIES} entries"
)
self._audit_trails[plan_id] = GuardrailAuditTrail.model_validate(
raw_trail
)
# Validate but don't write yet
new_trail = GuardrailAuditTrail.model_validate(raw_trail)
# Phase 2: Both validations succeeded, now write atomically
if new_guardrails is not None:
self._guardrails[plan_id] = new_guardrails
if new_trail is not None:
self._audit_trails[plan_id] = new_trail
def associate_plan_with_session(
self,