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This commit is contained in:
2026-05-16 19:38:06 +00:00
committed by Forgejo
31 changed files with 1479 additions and 49 deletions
+34 -2
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@@ -5,6 +5,14 @@ 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]
Data integrity fix: ValidationAttachmentRepository argument swap (#7492): Fixed
a critical data integrity issue in `ValidationAttachmentRepository.attach` where
`validation_name` and `resource_id` arguments were being silently swapped based on a
fragile heuristic (`"/" in resource_id`). Arguments are now passed in the correct order,
ensuring data is stored with proper parameter values.
- 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
@@ -40,6 +48,20 @@ 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
@@ -52,7 +74,6 @@ 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)
@@ -107,6 +128,16 @@ Changed `wf10_batch.robot` to be less likely to create files, and
- **Plan Rollback Command** (#8557): Implemented `agents plan rollback <plan-id> [<checkpoint-id>]` for checkpoint-based plan state restoration in Epic #8493. The command restores a plan's sandbox to the state captured at a given checkpoint, discarding all decisions made after that checkpoint. The checkpoint can be specified as an optional positional second argument or via the `--to-checkpoint` named option. Supports `--yes/-y` flag to skip confirmation prompts and `--format/-f` for output format selection (rich/plain/json/yaml). Included with comprehensive BDD test coverage (>= 97%) and spec-aligned output formatting showing rollback summary, changes reverted, impact analysis, and post-rollback state panels.
### Fixed
- **ACMS execute-phase assembler respects project-level hot_max_tokens** (#11035): Fixed
``_resolve_hot_max_tokens()`` to read ``hot_max_tokens`` from
``context_policy_json["acms_config"]["hot_max_tokens"]`` — the correct sub-key written
by ``agents project context set --hot-max-tokens``. The previous implementation read
from the top-level key (``config_dict.get("hot_max_tokens")``), which was always
``None``, causing the assembler to silently fall back to the global 16K default even
when a project-level override was configured. Also adds two Behave regression scenarios
with ``@tdd_issue @tdd_issue_11035`` tags that exercise the DB query code path and
verify the project-level budget is applied to ``CoreContextBudget`` and
``ContextRequest``.
- **Guard cleanup_stale against execute/processing and execute/complete plans** (#11121):
``_create_sandbox_for_plan()`` in ``src/cleveragents/cli/commands/plan.py`` now
skips ``GitWorktreeSandbox.cleanup_stale()`` when the plan is in
@@ -186,7 +217,8 @@ 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.
- **Resolved Behave AmbiguousStep collisions in step definitions** (#4186): Renamed
- **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.
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 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.
* 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.
* 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:
+21
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@@ -211,3 +211,24 @@ Feature: v3 Actor YAML schema support in CLI and registry
Given a v3 graph actor config dict with skills and lsp as dict
When I parse the v3 config through ReactiveConfigParser
Then each graph node agent should have lsp dict propagated
# M5: options block forwarded to agent_config in _build_from_v3 (#11223).
@tdd_issue @tdd_issue_11223
Scenario: ReactiveConfigParser propagates options block to agent config
Given a v3 LLM actor config dict with options block
When I parse the v3 config through ReactiveConfigParser
Then the agent config should contain the options block
# M5: actor without options block is unaffected (#11223).
@tdd_issue @tdd_issue_11223
Scenario: ReactiveConfigParser handles v3 actor without options block
Given a v3 LLM actor config dict without options block
When I parse the v3 config through ReactiveConfigParser
Then the agent config should not contain an options key
# M5: empty options dict is preserved (#11223).
@tdd_issue @tdd_issue_11223
Scenario: ReactiveConfigParser preserves empty options block
Given a v3 LLM actor config dict with empty options block
When I parse the v3 config through ReactiveConfigParser
Then the agent config should contain an empty options block
+63
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@@ -0,0 +1,63 @@
Feature: Auth middleware emits security events
As a platform operator
I want authentication outcomes emitted as domain events
So the audit pipeline captures auth success and failure details
Scenario: Successful authentication emits AUTH_SUCCESS
Given an auth middleware with expected token "tok_secret_123"
And an auth recording event bus
When I authenticate with token "tok_secret_123" identity "alice@example.com" and ip "10.0.0.5"
Then the auth result should be true
And the auth event bus should have exactly 1 event
And the latest auth event type should be AUTH_SUCCESS
And the latest auth event should contain detail "user_identity" with value "alice@example.com"
And the latest auth event should contain detail "ip_address" with value "10.0.0.5"
And the latest auth event should contain detail "token_prefix" with value "tok_se..."
Scenario: Short token success masks token_prefix
Given an auth middleware with expected token "short"
And an auth recording event bus
When I authenticate with token "short" identity "alice@example.com" and ip "10.0.0.5"
Then the auth result should be true
And the latest auth event type should be AUTH_SUCCESS
And the latest auth event should contain detail "token_prefix" with value "***..."
Scenario: Failed authentication emits AUTH_FAILURE
Given an auth middleware with expected token "tok_secret_123"
And an auth recording event bus
When I authenticate with token "tok_wrong_999" identity "alice@example.com" and ip "10.0.0.5"
Then the auth result should be false
And the auth event bus should have exactly 1 event
And the latest auth event type should be AUTH_FAILURE
And the latest auth event should contain detail "attempted_identity" with value "alice@example.com"
And the latest auth event should contain detail "failure_reason" with value "invalid_token"
And the latest auth event should contain detail "token_prefix" with value "tok_wr..."
Scenario: Missing configured token emits AUTH_FAILURE
Given an auth middleware with no configured token
And an auth recording event bus
When I authenticate with token "tok_any_111" identity "bob@example.com" and ip "10.0.0.9"
Then the auth result should be false
And the latest auth event type should be AUTH_FAILURE
And the latest auth event should contain detail "failure_reason" with value "token_not_configured"
Scenario: Empty authentication token is rejected before emission
Given an auth middleware with expected token "tok_secret_123"
And an auth recording event bus
When I try to authenticate with an empty token
Then an auth ValueError should be raised
And the auth event bus should have exactly 0 event
Scenario: Auth middleware events persist through AuditEventSubscriber
Given auth middleware is wired to AuditEventSubscriber with expected token "tok_secret_123"
When I authenticate with token "tok_secret_123" identity "carol@example.com" and ip "10.1.2.3"
And I authenticate with token "tok_bad_123" identity "dave@example.com" and ip "10.1.2.4"
Then the auth result history should be "true,false"
And the audit log should contain 1 auth_success entry from middleware
And the latest auth_success audit entry should contain detail "ip_address" with value "10.1.2.3"
And the latest auth_success audit entry should contain detail "token_prefix" with value "tok_se..."
And the audit log should contain 1 auth_failure entry from middleware
And the latest auth_failure audit entry should contain detail "ip_address" with value "10.1.2.4"
And the latest auth_failure audit entry should contain detail "attempted_identity" with value "dave@example.com"
And the latest auth_failure audit entry should contain detail "failure_reason" with value "invalid_token"
And the latest auth_failure audit entry should contain detail "token_prefix" with value "tok_ba..."
+100 -3
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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 > project > global) ===
# === Merge Precedence (plan > action > project > global) ===
Scenario: Merge with no duplicates preserves all invariants
@@ -480,6 +480,75 @@ 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
@@ -492,7 +561,7 @@ 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 |
@@ -505,7 +574,25 @@ Feature: Consolidated Domain Models
When I merge using InvariantSet
Then the invariant set should have 3 invariants
# === Service: Add/List/Remove ===
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 ===
Scenario: Service add invariant
@@ -574,6 +661,16 @@ Feature: Consolidated Domain Models
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"
+21
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@@ -1379,3 +1379,24 @@ Feature: Consolidated Routing
When the stream router tool agent processes "keep_me" through operation
Then the stream router tool agent operation result should be "keep_me"
# M5: SimpleLLMAgent._resolve_llm forwards options to registry.create_llm (#11223).
@tdd_issue @tdd_issue_11223
Scenario: SimpleLLMAgent forwards options block to LLM constructor
Given a stream router llm agent with options block containing custom base url
When the stream router llm agent resolves the llm
Then the llm constructor should have received the custom base url
# M5: actor without options block is unaffected (#11223).
@tdd_issue @tdd_issue_11223
Scenario: SimpleLLMAgent without options block calls LLM constructor without extra kwargs
Given a stream router llm agent without options block
When the stream router llm agent resolves the llm
Then the llm constructor should not have received extra kwargs
# M5: top-level keys take precedence over duplicates in options (#11223).
@tdd_issue @tdd_issue_11223
Scenario: SimpleLLMAgent top-level key takes precedence over options duplicate
Given a stream router llm agent with top-level temperature and options block
When the stream router llm agent resolves the llm
Then the llm constructor should have received the top-level temperature
+53
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@@ -0,0 +1,53 @@
Feature: Database URL sanitisation — credentials must never be exposed
As a CleverAgents operator
I want database URLs in CLI output to have their credentials masked
So that running ``agents info`` never leaks passwords or API tokens
@tdd_bug_8395
Scenario Outline: PostgreSQL URL with user and password — all are masked
Given the database url is "<url>"
When I run sanitise_db_url
Then the sanitised database url should be "<expected>"
Examples:
| url | expected |
| postgresql://user:secret@localhost/mydb | postgresql://***:***@localhost/mydb |
| postgresql://admin:p%40ssw0rd@db.example.com:5432/agents | postgresql://***:***@db.example.com:5432/agents |
| postgresql://readonly:r0ad_only@pg.cluster.internal:5433/production | postgresql://***:***@pg.cluster.internal:5433/production |
Scenario Outline: MySQL URL with credentials — all are masked
Given the database url is "<url>"
When I run sanitise_db_url
Then the sanitised database url should be "<expected>"
Examples:
| url | expected |
| mysql://app:s3cret@mysql.internal:3306/agents | mysql://***:***@mysql.internal:3306/agents |
| mysql+pymysql://root:toor@localhost/testdb | mysql+pymysql://***:***@localhost/testdb |
Scenario Outline: SQLite URLs — remain unchanged (no credentials)
Given the database url is "<url>"
When I run sanitise_db_url
Then the sanitised database url should be "<expected>"
Examples:
| url | expected |
| sqlite:///data/cleveragents.db | sqlite:///data/cleveragents.db |
| sqlite:////absolute/path/to/db.sqlite | sqlite:////absolute/path/to/db.sqlite |
| memory | memory |
Scenario: Username-only URL — password is still masked
Given the database url is "postgres://deploy@db.example.com/prod"
When I run sanitise_db_url
Then the sanitised database url should be "postgres://***:***@db.example.com/prod"
Scenario: SQLite URL without credentials remains unchanged
Given the database url is "sqlite:///test.db"
When I run sanitise_db_url
Then the sanitised database url should be "sqlite:///test.db"
Scenario: build_info_data returns sanitised database URL
Given a mock settings object with database url "postgresql://admin:supersecret@host.example.com:5432/mydb"
When I call build_info_data
Then the database field in info data should be "postgresql://***:***@host.example.com:5432/mydb"
@@ -235,3 +235,21 @@ Feature: Execute-phase context assembler coverage
When epcov I call assemble on the plan
Then epcov the assembled result should be an AssembledContext
And epcov the assembled result should have fragments and metadata
# ---- _resolve_hot_max_tokens: reads context_policy_json from DB ----
@tdd_issue @tdd_issue_11035
Scenario: epcov assemble uses project-level hot_max_tokens from context_policy_json
Given epcov an assembler with context_policy_json hot_max_tokens 32000
And epcov a plan with project links
And epcov scoped fragments that pass all filters
When epcov I call assemble on the plan
Then epcov the pipeline received budget max_tokens of 32000
@tdd_issue @tdd_issue_11035
Scenario: epcov assemble falls back to global hot_max_tokens when context_policy_json has no override
Given epcov an assembler with no hot_max_tokens in context_policy_json
And epcov a plan with project links
And epcov scoped fragments that pass all filters
When epcov I call assemble on the plan
Then epcov the pipeline received budget max_tokens of 4096
+2
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@@ -9,6 +9,7 @@ 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
@@ -22,6 +23,7 @@ __all__ = [
"MockAIProvider",
"MockLspTransport",
"MockMCPTransport",
"RecordingEventBus",
"TransientFailAuditService",
"parse_lsp_responses",
]
+25
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@@ -0,0 +1,25 @@
"""Minimal in-memory event bus used for Behave assertions."""
from __future__ import annotations
from collections.abc import Callable
from cleveragents.infrastructure.events.models import DomainEvent
from cleveragents.infrastructure.events.types import EventType
class RecordingEventBus:
"""Minimal in-memory event bus used for Behave assertions."""
def __init__(self) -> None:
self.events: list[DomainEvent] = []
def emit(self, event: DomainEvent) -> None:
self.events.append(event)
def subscribe(
self,
event_type: EventType,
handler: Callable[[DomainEvent], None],
) -> None:
_ = (event_type, handler)
@@ -14,6 +14,7 @@ from unittest.mock import patch
import yaml
from behave import given, then, when
from behave.runner import Context
from cleveragents.actor.compiler import ActorCompilationError
from cleveragents.actor.config import ActorConfiguration
@@ -781,3 +782,77 @@ def step_graph_nodes_have_lsp_dict(context: Any) -> None:
assert lsp.get("auto") is True, (
f"Node '{node_id}' expected lsp.auto=True, got {lsp}"
)
# ── M5: options block forwarding (#11223) ─────────────────────────────────
@given("a v3 LLM actor config dict with options block")
def step_v3_llm_config_with_options(context: Context) -> None:
context.v3_config = {
"name": "local/my-llama-actor",
"type": "llm",
"description": "Local llama.cpp actor",
"provider": "openai",
"model": "my-local-model",
"options": {
"openai_api_base": "http://localhost:8080/v1",
"openai_api_key": "none",
"temperature": 1.0,
},
"system_prompt": "You are a helpful assistant.",
}
@given("a v3 LLM actor config dict without options block")
def step_v3_llm_config_without_options(context: Context) -> None:
context.v3_config = {
"name": "local/standard-actor",
"type": "llm",
"description": "Standard actor without options",
"provider": "openai",
"model": "gpt-4",
"system_prompt": "You are a helpful assistant.",
}
@then("the agent config should contain the options block")
def step_agent_config_has_options(context: Context) -> None:
agents = context.reactive_config.agents
agent = next(iter(agents.values()))
options = agent.config.get("options")
assert options == {
"openai_api_base": "http://localhost:8080/v1",
"openai_api_key": "none",
"temperature": 1.0,
}, f"Expected exact options dict, got {options}"
@then("the agent config should not contain an options key")
def step_agent_config_no_options(context: Context) -> None:
agents = context.reactive_config.agents
agent = next(iter(agents.values()))
assert "options" not in agent.config, (
f"Expected no 'options' key in agent config, got {agent.config}"
)
@given("a v3 LLM actor config dict with empty options block")
def step_v3_llm_config_with_empty_options(context: Context) -> None:
context.v3_config = {
"name": "local/empty-options-actor",
"type": "llm",
"description": "Actor with empty options",
"provider": "openai",
"model": "gpt-4",
"options": {},
"system_prompt": "You are a helpful assistant.",
}
@then("the agent config should contain an empty options block")
def step_agent_config_has_empty_options(context: Context) -> None:
agents = context.reactive_config.agents
agent = next(iter(agents.values()))
options = agent.config.get("options")
assert options == {}, f"Expected empty options dict, got {options}"
@@ -0,0 +1,165 @@
"""Step definitions for auth_middleware_events.feature."""
from __future__ import annotations
from behave import given, then, when
from behave.runner import Context
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
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.config.settings import Settings
from cleveragents.infrastructure.database.models import Base
from cleveragents.infrastructure.events.reactive import ReactiveEventBus
from cleveragents.infrastructure.events.types import EventType
from features.mocks.recording_event_bus import RecordingEventBus
def _fresh_audit_service() -> AuditService:
Settings._instance = None
settings = Settings(database_url="sqlite:///:memory:")
engine = create_engine("sqlite:///:memory:", echo=False)
Base.metadata.create_all(engine)
session = sessionmaker(bind=engine)()
return AuditService(settings=settings, session=session)
@given('an auth middleware with expected token "{token}"')
def step_auth_middleware_with_token(context: Context, token: str) -> None:
context.expected_token = token
@given("an auth middleware with no configured token")
def step_auth_middleware_no_token(context: Context) -> None:
context.expected_token = None
@given("an auth recording event bus")
def step_auth_recording_event_bus(context: Context) -> None:
context.event_bus = RecordingEventBus()
context.auth_middleware = TokenAuthMiddleware(
expected_token=context.expected_token,
event_bus=context.event_bus,
)
context.auth_result_history = []
@given('auth middleware is wired to AuditEventSubscriber with expected token "{token}"')
def step_auth_middleware_audit_pipeline(context: Context, token: str) -> None:
context.audit_service = _fresh_audit_service()
context.event_bus = ReactiveEventBus()
context.audit_subscriber = AuditEventSubscriber(
audit_service=context.audit_service,
event_bus=context.event_bus,
)
context.auth_middleware = TokenAuthMiddleware(
expected_token=token,
event_bus=context.event_bus,
)
context.auth_result_history = []
@when('I authenticate with token "{token}" identity "{identity}" and ip "{ip_address}"')
def step_authenticate(
context: Context, token: str, identity: str, ip_address: str
) -> None:
context.auth_result = context.auth_middleware.authenticate(
token,
identity=identity,
ip_address=ip_address,
)
context.auth_result_history.append(context.auth_result)
@when("I try to authenticate with an empty token")
def step_try_authenticate_empty_token(context: Context) -> None:
context.auth_error = None
try:
context.auth_middleware.authenticate("", identity="empty@example.com")
except ValueError as exc:
context.auth_error = exc
@then("the auth result should be true")
def step_auth_result_true(context: Context) -> None:
assert context.auth_result is True
@then("the auth result should be false")
def step_auth_result_false(context: Context) -> None:
assert context.auth_result is False
@then("the auth event bus should have exactly {count:d} event")
def step_auth_event_count(context: Context, count: int) -> None:
assert len(context.event_bus.events) == count, (
f"Expected {count} events, got {len(context.event_bus.events)}"
)
@then("the latest auth event type should be {event_type_name}")
def step_latest_auth_event_type(context: Context, event_type_name: str) -> None:
expected = EventType[event_type_name]
actual = context.event_bus.events[-1].event_type
assert actual == expected, f"Expected event type {expected}, got {actual}"
@then(
'the latest auth event should contain detail "{key}" with value "{expected_value}"'
)
def step_latest_auth_event_detail(
context: Context, key: str, expected_value: str
) -> None:
details = context.event_bus.events[-1].details
assert details.get(key) == expected_value, (
f"Expected {key}={expected_value!r}, got {details.get(key)!r}"
)
@then("an auth ValueError should be raised")
def step_auth_value_error(context: Context) -> None:
assert context.auth_error is not None, (
"Expected ValueError but no exception was raised"
)
assert isinstance(context.auth_error, ValueError), (
f"Expected ValueError, got {type(context.auth_error).__name__}"
)
@then('the auth result history should be "{history_csv}"')
def step_auth_result_history(context: Context, history_csv: str) -> None:
expected = [part.strip().lower() == "true" for part in history_csv.split(",")]
assert context.auth_result_history == expected, (
f"Expected history {expected}, got {context.auth_result_history}"
)
@then("the audit log should contain 1 auth_success entry from middleware")
def step_audit_has_auth_success(context: Context) -> None:
entries = context.audit_service.list_entries(event_type="auth_success")
assert len(entries) == 1, f"Expected 1 auth_success entry, got {len(entries)}"
@then("the audit log should contain 1 auth_failure entry from middleware")
def step_audit_has_auth_failure(context: Context) -> None:
entries = context.audit_service.list_entries(event_type="auth_failure")
assert len(entries) == 1, f"Expected 1 auth_failure entry, got {len(entries)}"
@then(
'the latest {audit_event_type} audit entry should contain detail "{key}" with value "{expected_value}"'
)
def step_latest_audit_entry_detail(
context: Context, audit_event_type: str, key: str, expected_value: str
) -> None:
entries = context.audit_service.list_entries(event_type=audit_event_type)
assert entries, f"Expected at least one {audit_event_type} audit entry"
details = entries[0].details
assert details.get(key) == expected_value, (
f"Expected {audit_event_type}.{key}={expected_value!r}, "
f"got {details.get(key)!r}"
)
@@ -0,0 +1,85 @@
"""Step definitions for db_url_sanitisation.feature.
Tests the ``_sanitise_db_url`` helper and its use in ``build_info_data``.
"""
from __future__ import annotations
from pathlib import Path
from tempfile import mkdtemp
from unittest.mock import MagicMock, patch
from behave import given, then, when
from behave.runner import Context
# ---------------------------------------------------------------------------
# Given
# ---------------------------------------------------------------------------
@given('the database url is "{url}"')
def step_db_url_given(context: Context, url: str) -> None:
"""Store the raw database URL for processing."""
context.raw_db_url = url
@given('a mock settings object with database url "{db_url}"')
def step_mock_settings_with_db_url(context: Context, db_url: str) -> None:
"""Build a full mock Settings that ``build_info_data`` expects."""
tmpdir = mkdtemp()
mock_settings = MagicMock()
mock_settings.database_url = db_url
mock_settings.data_dir = Path(tmpdir)
mock_settings.storage_path = Path(tmpdir)
mock_settings.config_path = Path(tmpdir) / "config.toml"
mock_settings.log_dir = Path(tmpdir) / "logs"
mock_settings.default_automation_profile = "auto"
mock_settings.has_provider_configured = MagicMock(return_value=False)
mock_settings.configured_provider_names = MagicMock(return_value=[])
mock_settings.debug_enabled = False
context.mock_settings = mock_settings
# ---------------------------------------------------------------------------
# When
# ---------------------------------------------------------------------------
@when("I run sanitise_db_url")
def step_run_sanitise(context: Context) -> None:
"""Call _sanitise_db_url with the stored raw URL."""
from cleveragents.cli.commands.system import _sanitise_db_url
context.sanitised_url = _sanitise_db_url(context.raw_db_url)
@when("I call build_info_data")
def step_call_build_info(context: Context) -> None:
"""Call ``build_info_data`` with the mock settings."""
from cleveragents.cli.commands.system import build_info_data
with patch(
"cleveragents.config.settings.get_settings",
return_value=context.mock_settings,
):
context.info_data = build_info_data()
# ---------------------------------------------------------------------------
# Then
# ---------------------------------------------------------------------------
@then('the sanitised database url should be "{expected}"')
def step_assert_sanitised_url(context: Context, expected: str) -> None:
"""Verify the sanitised URL matches expectation."""
actual = context.sanitised_url
assert actual == expected, f"Expected '{expected}', got '{actual}'"
@then('the database field in info data should be "{expected}"')
def step_assert_info_db_field(context: Context, expected: str) -> None:
"""Verify the sanitised URL appears correctly in build_info_data output."""
actual = context.info_data["database"]
assert actual == expected, f"Expected database field '{expected}', got '{actual}'"
@@ -12,6 +12,7 @@ Exercises all uncovered lines in
from __future__ import annotations
import json
from typing import Any
from unittest.mock import MagicMock, patch
@@ -937,3 +938,112 @@ def step_epcov_assembled_has_data(context: Context) -> None:
assert result.budget_used >= 0.0, "Expected non-negative budget_used"
assert result.context_hash, "Expected non-empty context_hash"
assert result.strategies_used, "Expected non-empty strategies_used"
# ---------------------------------------------------------------------------
# _resolve_hot_max_tokens: reads hot_max_tokens from context_policy_json
# ---------------------------------------------------------------------------
def _make_assembler_with_policy_json(
policy_json: str | None,
) -> ACMSExecutePhaseContextAssembler:
"""Build an assembler whose DB session returns a row with *policy_json*."""
pr = _make_pipeline_result()
pr.fragments = ()
pr.total_tokens = 5
pr.budget_used = 0.1
pr.strategies_used = ("relevance",)
pr.context_hash = "hash-policy"
pr.preamble = None
pr.provenance_map = {}
mock_pipeline = MagicMock()
mock_pipeline.assemble.return_value = pr
tier_service = MagicMock()
# Return a minimal passing fragment so assemble() does not short-circuit
frag = _make_tiered_fragment(
fragment_id="frag-policy",
content="content",
token_count=5,
metadata={"path": "src/good.py"},
)
tier_service.get_scoped_view.return_value = [frag]
# Build a mock row with context_policy_json
mock_row = MagicMock()
mock_row.context_policy_json = policy_json
# Mock the session so _resolve_hot_max_tokens can query it
mock_session = MagicMock()
mock_session.query.return_value.filter_by.return_value.first.return_value = mock_row
repo = MagicMock()
repo._session.return_value = mock_session
repo.get_context_policy.return_value = ProjectContextPolicy()
return ACMSExecutePhaseContextAssembler(
context_tier_service=tier_service,
project_repository=repo,
acms_pipeline=mock_pipeline,
hot_max_tokens=4096,
)
@given("epcov an assembler with context_policy_json hot_max_tokens 32000")
def step_epcov_assembler_policy_json_32k(context: Context) -> None:
"""Assembler backed by a DB row with hot_max_tokens=32000 in policy JSON.
Mirrors the real storage format written by
``agents project context set --hot-max-tokens 32000``:
``{"acms_config": {"hot_max_tokens": 32000, ...}, ...}``.
"""
policy_json = json.dumps({"acms_config": {"hot_max_tokens": 32000}})
context.epcov_assembler = _make_assembler_with_policy_json(policy_json)
@given("epcov an assembler with no hot_max_tokens in context_policy_json")
def step_epcov_assembler_policy_json_no_override(context: Context) -> None:
"""Assembler backed by a DB row with no hot_max_tokens — global fallback."""
policy_json = json.dumps({"acms_config": {"other_setting": "value"}})
context.epcov_assembler = _make_assembler_with_policy_json(policy_json)
@then("epcov the pipeline received budget max_tokens of 32000")
def step_epcov_pipeline_budget_32k(context: Context) -> None:
"""Verify the pipeline was called with max_tokens=32000 in the budget."""
if context.epcov_error is not None:
raise AssertionError(f"Unexpected error: {context.epcov_error}")
pipeline = context.epcov_assembler._pipeline
assert pipeline.assemble.called, "Pipeline.assemble() was not called"
call_args = pipeline.assemble.call_args
budget = call_args.kwargs.get("budget") or (
call_args[1].get("budget") if call_args[1] else None
)
if budget is None and call_args[0]:
budget = call_args[0][2] if len(call_args[0]) > 2 else None
assert budget is not None, "Could not find budget in pipeline.assemble() call"
assert budget.max_tokens == 32000, (
f"Expected budget.max_tokens=32000 (from context_policy_json), "
f"got {budget.max_tokens}"
)
@then("epcov the pipeline received budget max_tokens of 4096")
def step_epcov_pipeline_budget_global(context: Context) -> None:
"""Verify the pipeline fell back to the global hot_max_tokens=4096."""
if context.epcov_error is not None:
raise AssertionError(f"Unexpected error: {context.epcov_error}")
pipeline = context.epcov_assembler._pipeline
assert pipeline.assemble.called, "Pipeline.assemble() was not called"
call_args = pipeline.assemble.call_args
budget = call_args.kwargs.get("budget") or (
call_args[1].get("budget") if call_args[1] else None
)
if budget is None and call_args[0]:
budget = call_args[0][2] if len(call_args[0]) > 2 else None
assert budget is not None, "Could not find budget in pipeline.assemble() call"
assert budget.max_tokens == 4096, (
f"Expected budget.max_tokens=4096 (global fallback), got {budget.max_tokens}"
)
+98
View File
@@ -135,6 +135,11 @@ 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)
@@ -160,6 +165,7 @@ 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", []),
)
@@ -180,6 +186,43 @@ 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
# ================================================================
@@ -189,6 +232,7 @@ def step_merged_scope(context, idx, scope):
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", []),
)
@@ -389,6 +433,15 @@ 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(
@@ -396,6 +449,15 @@ 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]
@@ -404,6 +466,35 @@ 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]
@@ -435,6 +526,13 @@ 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
# ================================================================
@@ -6,7 +6,8 @@
from __future__ import annotations
from unittest.mock import MagicMock
from typing import Any
from unittest.mock import MagicMock, patch
from behave import given, then, when
from behave.runner import Context
@@ -160,3 +161,115 @@ def step_then_tool_agent_operation_result(context: Context, expected: str) -> No
assert context.op_result == expected, (
f"Expected '{expected}', got '{context.op_result}'"
)
# ---------------------------------------------------------------------------
# M5: SimpleLLMAgent._resolve_llm forwards options to create_llm (#11223).
# ---------------------------------------------------------------------------
@given("a stream router llm agent with options block containing custom base url")
def step_given_llm_agent_with_options(context: Context) -> None:
context.llm_options_agent = SimpleLLMAgent(
"test_options",
{
"provider": "openai",
"model": "my-local-model",
"options": {
"openai_api_base": "http://localhost:8080/v1",
"openai_api_key": "none",
},
},
)
context.create_llm_kwargs: dict[str, Any] = {}
@given("a stream router llm agent without options block")
def step_given_llm_agent_without_options(context: Context) -> None:
context.llm_options_agent = SimpleLLMAgent(
"test_no_options",
{
"provider": "openai",
"model": "gpt-4",
},
)
context.create_llm_kwargs = {}
@when("the stream router llm agent resolves the llm")
def step_when_llm_agent_resolves(context: Context) -> None:
mock_llm = MagicMock()
captured: dict[str, Any] = {}
def fake_create_llm(
provider_type: Any = None, model_id: Any = None, **kwargs: Any
) -> Any:
captured["provider_type"] = provider_type
captured["model_id"] = model_id
captured["kwargs"] = kwargs
return mock_llm
mock_registry = MagicMock()
mock_registry.create_llm.side_effect = fake_create_llm
with patch(
"cleveragents.reactive.stream_router.get_provider_registry",
return_value=mock_registry,
):
context.llm_options_agent._resolve_llm()
context.create_llm_kwargs = captured
@then("the llm constructor should have received the custom base url")
def step_then_llm_received_custom_base_url(context: Context) -> None:
kwargs = context.create_llm_kwargs.get("kwargs", {})
assert "openai_api_base" in kwargs, (
f"Expected 'openai_api_base' in create_llm kwargs, got {kwargs}"
)
assert kwargs["openai_api_base"] == "http://localhost:8080/v1", (
f"Expected openai_api_base='http://localhost:8080/v1', got {kwargs}"
)
# openai_api_key is routed through __api_key_sentinel so the
# registry can distinguish explicit keys from environment defaults.
assert kwargs.get("__api_key_sentinel") == "none", (
f"Expected __api_key_sentinel='none' (from options.openai_api_key), "
f"got {kwargs}"
)
@then("the llm constructor should not have received extra kwargs")
def step_then_llm_no_extra_kwargs(context: Context) -> None:
kwargs = context.create_llm_kwargs.get("kwargs", {})
# When neither options nor top-level params are present, nothing
# should be forwarded to the LLM constructor.
assert kwargs == {}, f"Expected empty kwargs in create_llm call, got {kwargs}"
@given("a stream router llm agent with top-level temperature and options block")
def step_given_llm_agent_with_precedence(context: Context) -> None:
context.llm_options_agent = SimpleLLMAgent(
"test_precedence",
{
"provider": "openai",
"model": "gpt-4",
"temperature": 0.5,
"options": {
"temperature": 1.0,
"max_tokens": 4096,
},
},
)
context.create_llm_kwargs: dict[str, Any] = {}
@then("the llm constructor should have received the top-level temperature")
def step_then_llm_received_top_level_temperature(context: Context) -> None:
kwargs = context.create_llm_kwargs.get("kwargs", {})
assert kwargs.get("temperature") == 0.5, (
f"Expected temperature=0.5 (top-level precedence over options), got {kwargs}"
)
# max_tokens from options should still be forwarded.
assert kwargs.get("max_tokens") == 4096, (
f"Expected max_tokens=4096 from options, got {kwargs}"
)
+10 -1
View File
@@ -57,7 +57,6 @@ 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
@@ -87,3 +86,13 @@ 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
View File
@@ -23,6 +23,9 @@ 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,
)
@@ -323,6 +326,102 @@ 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
# ---------------------------------------------------------------------------
@@ -336,6 +435,7 @@ _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
View File
@@ -867,6 +867,7 @@ def invariants_enforced_during_strategize() -> None:
merged = merge_invariants(
plan_invariants=[plan_inv],
action_invariants=[],
project_invariants=[project_inv],
global_invariants=[global_inv],
)
@@ -890,6 +891,7 @@ def invariants_enforced_during_strategize() -> None:
invariant_set = InvariantSet.merge(
plan_invariants=[plan_inv],
action_invariants=[],
project_invariants=[project_inv],
global_invariants=[global_inv],
)
+27
View File
@@ -23,6 +23,7 @@ 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,
)
@@ -410,6 +411,25 @@ 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
@@ -667,6 +687,13 @@ 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,
@@ -37,19 +37,13 @@ _logger = structlog.get_logger(__name__)
SECURITY_EVENT_MAP: dict[EventType, str] = {
EventType.PLAN_APPLIED: "plan_applied",
EventType.PLAN_CANCELLED: "plan_cancelled",
# 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.
# Emitted by ResourceFileWatcher when indexed resources change.
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",
# 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.
# Emitted by TokenAuthMiddleware during bearer-token checks.
EventType.AUTH_SUCCESS: "auth_success",
EventType.AUTH_FAILURE: "auth_failure",
}
@@ -0,0 +1,189 @@
"""Authentication middleware that emits audit-friendly auth events.
This service encapsulates bearer-token authentication checks and emits
``AUTH_SUCCESS`` / ``AUTH_FAILURE`` domain events through an injected
``EventBus`` so the audit pipeline can persist login outcomes.
Spec alignment:
- docs/specification.md § Event System
- docs/specification.md § Audit Logging (auth_success / auth_failure)
"""
from __future__ import annotations
import hmac
from typing import TYPE_CHECKING
import structlog
from cleveragents.infrastructure.events.models import DomainEvent
from cleveragents.infrastructure.events.types import EventType
from cleveragents.shared.redaction import redact_value
if TYPE_CHECKING:
from cleveragents.infrastructure.events.protocol import EventBus
_logger = structlog.get_logger(__name__)
_TOKEN_PREFIX_LEN = 6
_SHORT_TOKEN_MASK = "***..."
def _token_prefix(token: str) -> str:
"""Return a safe token prefix for audit details.
Never returns the full token value. Tokens shorter than or equal to the
prefix length are collapsed to a constant mask to avoid full disclosure.
"""
if len(token) <= _TOKEN_PREFIX_LEN:
return _SHORT_TOKEN_MASK
return f"{token[:_TOKEN_PREFIX_LEN]}..."
def _normalize_optional_text(field_name: str, value: str | None) -> str | None:
"""Normalize optional text fields with guard-first validation."""
if value is None:
return None
if not isinstance(value, str):
raise TypeError(f"{field_name} must be a string or None")
normalized = value.strip()
if not normalized:
raise ValueError(f"{field_name} must not be empty when provided")
return normalized
class TokenAuthMiddleware:
"""Authenticate bearer tokens and emit AUTH_* events.
This class is intentionally transport-agnostic. A future server-mode
middleware can delegate authentication decisions to this component and
inherit consistent event emission semantics.
"""
def __init__(
self,
expected_token: str | None,
event_bus: EventBus | None = None,
) -> None:
"""Initialize middleware with an expected token and optional event bus.
Args:
expected_token: Configured bearer token for successful auth.
event_bus: Event bus used for AUTH_SUCCESS/AUTH_FAILURE emission.
"""
self._expected_token = _normalize_optional_text(
"expected_token", expected_token
)
self._event_bus = event_bus
def authenticate(
self,
token: str,
*,
identity: str | None = None,
ip_address: str | None = None,
) -> bool:
"""Authenticate *token* and emit a corresponding auth event.
Args:
token: Bearer token supplied by the caller.
identity: Optional user identity / principal for audit context.
ip_address: Optional client IP address for audit context.
Returns:
``True`` if authentication succeeds, otherwise ``False``.
"""
if not isinstance(token, str):
raise TypeError("token must be a string")
normalized_token = token.strip()
if not normalized_token:
raise ValueError("token must not be empty")
normalized_identity = _normalize_optional_text("identity", identity)
normalized_ip = _normalize_optional_text("ip_address", ip_address)
if self._expected_token is None:
self._emit_auth_failure(
attempted_identity=normalized_identity,
ip_address=normalized_ip,
token_prefix=_token_prefix(normalized_token),
reason="token_not_configured",
)
return False
if hmac.compare_digest(normalized_token, self._expected_token):
self._emit_auth_success(
user_identity=normalized_identity,
ip_address=normalized_ip,
token_prefix=_token_prefix(normalized_token),
)
return True
self._emit_auth_failure(
attempted_identity=normalized_identity,
ip_address=normalized_ip,
token_prefix=_token_prefix(normalized_token),
reason="invalid_token",
)
return False
def _emit_auth_success(
self,
*,
user_identity: str | None,
ip_address: str | None,
token_prefix: str,
) -> None:
"""Emit AUTH_SUCCESS if an event bus is configured."""
if self._event_bus is None:
return
details: dict[str, str] = {
"user_identity": user_identity or "unknown",
"token_prefix": token_prefix,
}
if ip_address is not None:
details["ip_address"] = ip_address
self._emit_event(EventType.AUTH_SUCCESS, details)
def _emit_auth_failure(
self,
*,
attempted_identity: str | None,
ip_address: str | None,
token_prefix: str,
reason: str,
) -> None:
"""Emit AUTH_FAILURE if an event bus is configured."""
if self._event_bus is None:
return
details: dict[str, str] = {
"attempted_identity": attempted_identity or "unknown",
"user_identity": "unauthenticated",
"failure_reason": reason,
"token_prefix": token_prefix,
}
if ip_address is not None:
details["ip_address"] = ip_address
self._emit_event(EventType.AUTH_FAILURE, details)
def _emit_event(self, event_type: EventType, details: dict[str, str]) -> None:
"""Emit one auth event and swallow publish-side failures."""
bus = self._event_bus
if bus is None:
return
try:
bus.emit(
DomainEvent(
event_type=event_type,
details=details,
)
)
except Exception as exc: # pragma: no cover - defensive logging path
_logger.warning(
"auth_event_emit_failed",
event_type=event_type.value,
error_type=type(exc).__name__,
error_message=redact_value(str(exc)),
)
__all__ = ["TokenAuthMiddleware"]
@@ -116,7 +116,10 @@ class ACMSExecutePhaseContextAssembler(ExecutePhaseContextAssembler):
if row is not None and row.context_policy_json is not None:
try:
config_dict = json.loads(cast(str, row.context_policy_json))
tokens = config_dict.get("hot_max_tokens")
# hot_max_tokens is stored under the "acms_config" sub-key
# by agents project context set.
acms = config_dict.get("acms_config") or {}
tokens = acms.get("hot_max_tokens")
if tokens is not None and isinstance(tokens, int) and tokens > 0:
candidates.append(tokens)
except (ValueError, TypeError):
@@ -11,8 +11,8 @@ a dict keyed by invariant ID.
## Merge Precedence
Effective invariants are computed using plan > project > global order.
See ``merge_invariants`` for de-duplication semantics.
Effective invariants are computed using plan > action > project > global
order. See ``merge_invariants`` for de-duplication semantics.
Based on ``docs/specification.md`` and implementation plan Stage M3.5.
"""
@@ -124,6 +124,7 @@ 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,
)
@@ -167,16 +168,22 @@ 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/project context.
"""Return the merged precedence chain for a plan/action/project context.
Collects active invariants from each scope tier and merges them
using plan > project > global precedence.
using plan > action > 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.
@@ -191,6 +198,13 @@ 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
@@ -199,7 +213,7 @@ class InvariantService:
]
global_invs = [inv for inv in active if inv.scope == InvariantScope.GLOBAL]
return merge_invariants(plan_invs, project_invs, global_invs)
return merge_invariants(plan_invs, action_invs, project_invs, global_invs)
def enforce_invariants(
self,
+37 -1
View File
@@ -17,6 +17,7 @@ from datetime import UTC, datetime
from enum import StrEnum
from pathlib import Path
from typing import Any
from urllib.parse import urlparse, urlunparse
from sqlalchemy import create_engine
from sqlalchemy import inspect as sa_inspect
@@ -82,6 +83,41 @@ def _dep_version(package: str) -> str:
return "not installed"
def _sanitise_db_url(url: str) -> str:
"""Sanitise a database URL by masking credentials.
Parses the URL and replaces username/password components with masked
placeholders so that CLI output never exposes real credentials.
Examples::
>>> _sanitise_db_url("postgresql://user:secret@localhost/mydb")
'postgresql://***:***@localhost/mydb'
>>> _sanitise_db_url("sqlite:///path/to/db.sqlite")
'sqlite:///path/to/db.sqlite'
Args:
url: The raw database URL.
Returns:
The sanitised URL with credentials masked (or unchanged if no
username/password is present).
"""
parsed = urlparse(url)
# If there is no userinfo segment, return as-is (e.g. sqlite URLs)
if not parsed.username and not parsed.password:
return url
# Rebuild the netloc with masked credentials
userinfo = "***:***"
port_part = f":{parsed.port}" if parsed.port else ""
new_netloc = f"{userinfo}@{parsed.hostname}{port_part}"
sanitized = parsed._replace(netloc=new_netloc)
return urlunparse(sanitized)
def build_version_data() -> dict[str, Any]:
"""Assemble structured data for the ``version`` command."""
return {
@@ -145,7 +181,7 @@ def build_info_data() -> dict[str, Any]:
"version": __version__,
"data_dir": str(data_dir),
"config_path": str(config_path),
"database": db_url,
"database": _sanitise_db_url(db_url),
"server_mode": server_mode,
"platform": f"{platform.system()} {platform.release()} ({platform.machine()})",
"automation": settings.default_automation_profile,
@@ -2,9 +2,10 @@
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. The runtime precedence chain is:
invariants are promoted to plan-level and participate in the merge.
The runtime precedence chain is:
plan > project > global
plan > action > project > global
They are reconciled by the Invariant Reconciliation Actor at the start
of Strategize and recorded as ``invariant_enforced`` decisions.
@@ -21,8 +22,8 @@ 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 > project > global**. Duplicate texts (case-insensitive)
are de-duplicated, keeping the highest-precedence copy.
order is **plan > action > 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.
"""
@@ -39,8 +40,10 @@ from ulid import ULID
class InvariantScope(StrEnum):
"""Scope at which an invariant applies.
Precedence (highest to lowest): PLAN > PROJECT > GLOBAL.
ACTION invariants are promoted to PLAN scope at ``plan use`` time.
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.
"""
GLOBAL = "global"
@@ -137,10 +140,11 @@ class InvariantSet(BaseModel):
def merge(
cls,
plan_invariants: list[Invariant],
project_invariants: list[Invariant],
global_invariants: list[Invariant],
action_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant] | None = None,
global_invariants: list[Invariant] | None = None,
) -> InvariantSet:
"""Merge invariants respecting plan > project > global precedence.
"""Merge invariants respecting plan > action > project > global precedence.
De-duplicates by text (case-insensitive), keeping the copy from
the highest-precedence tier. Within each tier, source ordering
@@ -148,6 +152,9 @@ 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).
@@ -156,7 +163,12 @@ class InvariantSet(BaseModel):
"""
return cls(
invariants=tuple(
merge_invariants(plan_invariants, project_invariants, global_invariants)
merge_invariants(
plan_invariants,
action_invariants or [],
project_invariants or [],
global_invariants or [],
)
)
)
@@ -165,10 +177,11 @@ class InvariantSet(BaseModel):
def merge_invariants(
plan_invariants: list[Invariant],
project_invariants: list[Invariant],
global_invariants: list[Invariant],
action_invariants: list[Invariant] | None = None,
project_invariants: list[Invariant] | None = None,
global_invariants: list[Invariant] | None = None,
) -> list[Invariant]:
"""Merge invariants implementing plan > project > global precedence.
"""Merge invariants implementing plan > action > project > global precedence.
De-duplicates by text (case-insensitive). The first occurrence
(from the highest-precedence tier) wins. Within each tier, the
@@ -176,8 +189,13 @@ def merge_invariants(
Args:
plan_invariants: Plan-level invariants (highest precedence).
project_invariants: Project-level invariants.
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``.
global_invariants: Global-level invariants (lowest precedence).
Defaults to empty list when ``None``.
Returns:
A de-duplicated list of invariants in precedence order.
@@ -185,7 +203,12 @@ def merge_invariants(
seen: set[str] = set()
result: list[Invariant] = []
for inv_list in (plan_invariants, project_invariants, global_invariants):
for inv_list in (
plan_invariants,
action_invariants or [],
project_invariants or [],
global_invariants or [],
):
for inv in inv_list:
if not inv.active:
continue
@@ -3916,9 +3916,6 @@ class ValidationAttachmentRepository:
from ulid import ULID as _ULID
if "/" in resource_id and "/" not in validation_name:
validation_name, resource_id = resource_id, validation_name
session = self._session()
try:
# Check for existing attachment with same validation+resource+scope
+11 -3
View File
@@ -286,9 +286,9 @@ class ReactiveConfigParser:
are propagated via the agent config so the runtime can attach them.
All v3 fields ``context_view``, ``memory``, ``context``,
``env_vars``, ``response_format``, ``lsp_capabilities``, and
``lsp_context_enrichment`` are propagated into the agent config
so the runtime can consume them.
``env_vars``, ``response_format``, ``lsp_capabilities``,
``lsp_context_enrichment``, and ``options`` are propagated
into the agent config so the runtime can consume them.
"""
# m4: guard against None-to-string coercion for all three fields.
actor_type = str(data.get("type") or "llm").lower()
@@ -375,6 +375,11 @@ class ReactiveConfigParser:
if isinstance(response_format, dict):
agent_config["response_format"] = response_format
# M5: propagate actor options block for custom backend support (#11223).
options_raw = data.get("options")
if isinstance(options_raw, dict):
agent_config["options"] = dict(options_raw)
if actor_type in ("llm", "tool"):
# Single-agent synthesis.
rc.agents[actor_name] = AgentConfig(
@@ -424,6 +429,9 @@ class ReactiveConfigParser:
else dict(lsp_bindings)
)
node_config.setdefault("lsp", lsp_copy)
# M5: propagate actor-level options to graph nodes (#11223).
if isinstance(options_raw, dict) and options_raw:
node_config.setdefault("options", dict(options_raw))
nodes_map[node_id] = node_config
# Create a reactive agent for each graph node.
@@ -226,6 +226,55 @@ class SimpleLLMAgent:
llm_kwargs["max_tokens"] = max_tokens
if max_retries is not None:
llm_kwargs["max_retries"] = max_retries
# M5: merge options block so custom LLM backend kwargs
# (e.g. openai_api_base, openai_api_key) are forwarded to the
# LLM constructor. Options are applied after the fixed keys so
# that explicit top-level keys (temperature, max_tokens, etc.)
# take precedence over duplicates in options.
#
# openai_api_key is handled specially: the registry uses a
# __api_key_sentinel mechanism to distinguish explicitly
# provided keys from environment-sourced ones. If the user
# supplies openai_api_key in options, we extract it and inject
# it via the sentinel so it overrides the registry's default.
options = dict(self.config.get("options") or {})
if "openai_api_key" in options:
llm_kwargs["__api_key_sentinel"] = options.pop("openai_api_key")
# Ensure sensitive/reserved ChatOpenAI constructor params cannot
# be injected via a crafted actor YAML.
_ALLOWED_OPTIONS: frozenset[str] = frozenset(
{
"openai_api_base",
"temperature",
"max_tokens",
"timeout",
"top_p",
"frequency_penalty",
"presence_penalty",
}
)
_RESERVED: frozenset[str] = frozenset({"provider_type", "model_id"})
for key, value in options.items():
if key in _RESERVED:
logger_sr.warning(
"Actor '%s' options block contains reserved key '%s' "
"that conflicts with positional arguments; ignoring.",
self.name,
key,
)
continue
if key not in llm_kwargs:
if key in _ALLOWED_OPTIONS:
llm_kwargs[key] = value
else:
logger_sr.warning(
"Actor '%s' options block contains unrecognized "
"key '%s'; ignoring for security. Allowed keys: "
"%s.",
self.name,
key,
sorted(_ALLOWED_OPTIONS),
)
registry = get_provider_registry()
self._llm = registry.create_llm(
provider_type=provider, model_id=model, **llm_kwargs
+1
View File
@@ -42,6 +42,7 @@ _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",