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background_review hardcoded enabled_toolsets=["memory", "skills"] in the review fork's whitelist, so a skill-review fork on a profile with memory_enabled: false still granted the LLM the built-in MEMORY.md read/write tool — contaminating a profile that opted out of built-in memory. The flag was already in scope (review_agent._memory_enabled). Include "memory" only when _memory_enabled or _user_profile_enabled (USER.md also needs the tool). Layer 1 of #54937 (the path leak) is fixed by this PR's thread-context propagation: get_memory_dir() is already per-call on main, so once the bg-review thread inherits the profile override its writes land in the right profile (verified). This commit closes the remaining whitelist layer.
229 lines
8.5 KiB
Python
229 lines
8.5 KiB
Python
"""Tests that the background review agent restricts tools at runtime, not at schema time.
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Regression coverage for issue #15204 (the background skill-review agent must
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not perform non-skill side effects like terminal, send_message, delegate_task)
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combined with issue #25322 / PR #17276 (the review fork must hit the parent's
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Anthropic/OpenRouter prefix cache).
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Reconciling the two: the fork now inherits the parent's full ``tools`` schema
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so the cache-key matches, and enforces the memory+skills restriction at
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runtime via a thread-local whitelist on the existing
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``get_pre_tool_call_block_message`` gate. Safety is preserved mechanically
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(any non-whitelisted dispatch is blocked) without the schema-level narrowing
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that caused the prefix-cache miss.
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"""
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from unittest.mock import patch
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def _make_agent_stub(agent_cls):
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"""Create a minimal AIAgent-like object with just enough state for _spawn_background_review."""
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agent = object.__new__(agent_cls)
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agent.model = "test-model"
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agent.platform = "test"
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agent.provider = "openai"
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agent.session_id = "sess-123"
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agent.quiet_mode = True
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agent._memory_store = None
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agent._memory_enabled = True
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agent._user_profile_enabled = False
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agent._memory_nudge_interval = 5
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agent._skill_nudge_interval = 5
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agent.background_review_callback = None
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agent.status_callback = None
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agent._cached_system_prompt = None
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import datetime as _dt
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agent.session_start = _dt.datetime(2026, 1, 1, 12, 0, 0)
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agent._MEMORY_REVIEW_PROMPT = "review memory"
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agent._SKILL_REVIEW_PROMPT = "review skills"
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agent._COMBINED_REVIEW_PROMPT = "review both"
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# Non-None so the test catches a missing-kwarg regression.
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agent.enabled_toolsets = ["memory", "skills", "terminal"]
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agent.disabled_toolsets = ["spotify", "feishu_doc"]
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return agent
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class _SyncThread:
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"""Drop-in replacement for threading.Thread that runs the target inline."""
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def __init__(self, *, target=None, daemon=None, name=None):
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self._target = target
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def start(self):
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if self._target:
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self._target()
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def test_background_review_matches_parent_toolset_config():
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"""Fork must receive parent's toolset config so ``tools[]`` cache key matches."""
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import run_agent
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agent = _make_agent_stub(run_agent.AIAgent)
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captured = {}
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def _capture_init(self, *args, **kwargs):
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captured["enabled_toolsets"] = kwargs.get("enabled_toolsets", "UNSET")
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captured["disabled_toolsets"] = kwargs.get("disabled_toolsets", "UNSET")
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raise RuntimeError("stop after capturing init args")
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with patch.object(run_agent.AIAgent, "__init__", _capture_init), \
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patch("threading.Thread", _SyncThread):
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agent._spawn_background_review(
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messages_snapshot=[],
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review_memory=True,
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review_skills=False,
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)
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assert "enabled_toolsets" in captured, "AIAgent.__init__ was not called"
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assert captured["enabled_toolsets"] == agent.enabled_toolsets, (
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f"enabled_toolsets mismatch: {captured['enabled_toolsets']!r} "
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f"vs expected {agent.enabled_toolsets!r}"
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)
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assert captured["disabled_toolsets"] == agent.disabled_toolsets, (
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f"disabled_toolsets mismatch: {captured['disabled_toolsets']!r} "
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f"vs expected {agent.disabled_toolsets!r}"
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)
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def test_background_review_installs_thread_local_whitelist():
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"""The review fork must install a memory/skills-only thread-local whitelist.
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The schema-level toolset narrowing was lifted (for prefix-cache parity),
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so #15204's safety contract now relies on the runtime whitelist gate to
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deny terminal/send_message/delegate_task at dispatch time. Verify the
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whitelist is set with exactly the memory+skills tool names.
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"""
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import run_agent
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from hermes_cli import plugins as _plugins
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captured = {}
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def _capture_whitelist(whitelist, deny_msg_fmt=None):
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captured["whitelist"] = set(whitelist)
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captured["deny_msg_fmt"] = deny_msg_fmt
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# Stop here — we just want to see what gets installed.
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raise RuntimeError("stop after capturing whitelist")
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agent = _make_agent_stub(run_agent.AIAgent)
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def _no_init(self, *args, **kwargs):
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# Don't crash AIAgent.__init__; let execution flow reach
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# set_thread_tool_whitelist.
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return None
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with patch.object(run_agent.AIAgent, "__init__", _no_init), \
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patch.object(_plugins, "set_thread_tool_whitelist", _capture_whitelist), \
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patch("threading.Thread", _SyncThread):
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agent._spawn_background_review(
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messages_snapshot=[],
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review_memory=True,
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review_skills=False,
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)
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assert "whitelist" in captured, "set_thread_tool_whitelist was not called"
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whitelist = captured["whitelist"]
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# memory + skills tools must be allowed
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assert "memory" in whitelist
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assert "skill_manage" in whitelist
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assert "skill_view" in whitelist
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assert "skills_list" in whitelist
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# dangerous tools must NOT be in the whitelist
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assert "terminal" not in whitelist
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assert "send_message" not in whitelist
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assert "delegate_task" not in whitelist
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assert "web_search" not in whitelist
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assert "execute_code" not in whitelist
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def test_background_review_agent_tools_are_limited():
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"""Verify the resolved memory+skills toolsets only contain memory and skill tools.
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Sanity check on the source of truth for what the runtime whitelist is
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derived from — if a future PR adds e.g. `terminal` to the `memory`
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toolset, the review-fork safety contract silently breaks.
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"""
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from toolsets import resolve_multiple_toolsets
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expected_tools = set(resolve_multiple_toolsets(["memory", "skills"]))
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assert "memory" in expected_tools
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assert "skill_manage" in expected_tools
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assert "skill_view" in expected_tools
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assert "skills_list" in expected_tools
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assert "terminal" not in expected_tools
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assert "send_message" not in expected_tools
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assert "delegate_task" not in expected_tools
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assert "web_search" not in expected_tools
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assert "execute_code" not in expected_tools
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def test_background_review_excludes_memory_when_disabled():
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"""A memory-disabled profile must NOT get the memory tool in the review fork.
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Regression for #54937 layer 2: the whitelist hardcoded ["memory", "skills"],
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so a skill-review fork on a profile with memory_enabled=false still granted
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the LLM the MEMORY.md read/write tool, contaminating a profile that opted
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out of built-in memory. The whitelist must gate "memory" on the flag.
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"""
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import run_agent
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from hermes_cli import plugins as _plugins
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captured = {}
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def _capture_whitelist(whitelist, deny_msg_fmt=None):
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captured["whitelist"] = set(whitelist)
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raise RuntimeError("stop after capturing whitelist")
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agent = _make_agent_stub(run_agent.AIAgent)
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agent._memory_enabled = False
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agent._user_profile_enabled = False
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def _no_init(self, *args, **kwargs):
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return None
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with patch.object(run_agent.AIAgent, "__init__", _no_init), \
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patch.object(_plugins, "set_thread_tool_whitelist", _capture_whitelist), \
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patch("threading.Thread", _SyncThread):
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agent._spawn_background_review(
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messages_snapshot=[],
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review_memory=False,
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review_skills=True,
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)
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whitelist = captured["whitelist"]
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# Skill tools still allowed...
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assert "skill_manage" in whitelist
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assert "skill_view" in whitelist
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# ...but the built-in memory tool must be gated out.
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assert "memory" not in whitelist
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def test_background_review_includes_memory_when_user_profile_enabled():
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"""user_profile_enabled alone (USER.md) still needs the memory tool."""
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import run_agent
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from hermes_cli import plugins as _plugins
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captured = {}
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def _capture_whitelist(whitelist, deny_msg_fmt=None):
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captured["whitelist"] = set(whitelist)
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raise RuntimeError("stop after capturing whitelist")
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agent = _make_agent_stub(run_agent.AIAgent)
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agent._memory_enabled = False
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agent._user_profile_enabled = True
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def _no_init(self, *args, **kwargs):
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return None
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with patch.object(run_agent.AIAgent, "__init__", _no_init), \
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patch.object(_plugins, "set_thread_tool_whitelist", _capture_whitelist), \
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patch("threading.Thread", _SyncThread):
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agent._spawn_background_review(
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messages_snapshot=[],
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review_memory=True,
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review_skills=False,
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)
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assert "memory" in captured["whitelist"]
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