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- test_background_review_does_not_narrow_toolset_schema: review fork must NOT pass enabled_toolsets to AIAgent (full parent schema = matching Anthropic cache key on the 'tools' field). - test_background_review_installs_thread_local_whitelist: the runtime whitelist that replaces schema-level narrowing must contain memory + skills tools and exclude terminal / send_message / delegate_task / web_search / execute_code. - test_review_fork_inherits_parent_cached_system_prompt: new test for PR #17276's first root cause — the fork's _cached_system_prompt must equal the parent's byte-for-byte. - test_review_fork_pins_session_start_and_session_id: defensive belt-and- suspenders for the cached-prompt inheritance. Inverted the original test_background_review_agent_uses_restricted_toolsets (which asserted the schema-level narrowing) — that narrowing was the direct cause of #25322's cache miss, and the runtime whitelist replaces its safety claim without breaking cache parity. Refs #25322, #15204, PR #17276.
195 lines
6.3 KiB
Python
195 lines
6.3 KiB
Python
"""Regression tests for background review agent cleanup."""
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from __future__ import annotations
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import run_agent as run_agent_module
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from run_agent import AIAgent
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def _bare_agent() -> AIAgent:
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agent = object.__new__(AIAgent)
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agent.model = "fake-model"
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agent.platform = "telegram"
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agent.provider = "openai"
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agent.base_url = ""
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agent.api_key = ""
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agent.api_mode = ""
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agent.session_id = "test-session"
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agent._parent_session_id = ""
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agent._credential_pool = None
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agent._memory_store = object()
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agent._memory_enabled = True
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agent._user_profile_enabled = False
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agent._cached_system_prompt = "test-cached-system-prompt"
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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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agent.background_review_callback = None
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agent.status_callback = None
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agent._safe_print = lambda *_args, **_kwargs: None
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return agent
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class ImmediateThread:
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def __init__(self, *, target, daemon=None, name=None):
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self._target = target
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def start(self):
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self._target()
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def test_background_review_shuts_down_memory_provider_before_close(monkeypatch):
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events = []
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class FakeReviewAgent:
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def __init__(self, **kwargs):
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events.append(("init", kwargs))
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self._session_messages = []
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def run_conversation(self, **kwargs):
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events.append(("run_conversation", kwargs))
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def shutdown_memory_provider(self):
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events.append(("shutdown_memory_provider", None))
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def close(self):
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events.append(("close", None))
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monkeypatch.setattr(run_agent_module, "AIAgent", FakeReviewAgent)
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monkeypatch.setattr(run_agent_module.threading, "Thread", ImmediateThread)
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agent = _bare_agent()
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AIAgent._spawn_background_review(
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agent,
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messages_snapshot=[{"role": "user", "content": "hello"}],
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review_memory=True,
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)
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assert [name for name, _payload in events] == [
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"init",
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"run_conversation",
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"shutdown_memory_provider",
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"close",
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]
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def test_background_review_installs_auto_deny_approval_callback(monkeypatch):
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"""Regression guard for #15216.
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The background review thread must install a non-interactive approval
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callback. If it doesn't, any dangerous-command guard the review agent
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trips falls back to input() on a daemon thread, which deadlocks against
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the parent's prompt_toolkit TUI.
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"""
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import tools.terminal_tool as tt
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observed: dict = {"during_run": "<unread>", "after_finally": "<unread>"}
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class FakeReviewAgent:
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def __init__(self, **kwargs):
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self._session_messages = []
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def run_conversation(self, **kwargs):
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# Capture what the callback looks like mid-run. It must be
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# a callable (the auto-deny) -- not None.
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observed["during_run"] = tt._get_approval_callback()
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def shutdown_memory_provider(self):
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pass
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def close(self):
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pass
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monkeypatch.setattr(run_agent_module, "AIAgent", FakeReviewAgent)
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monkeypatch.setattr(run_agent_module.threading, "Thread", ImmediateThread)
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# Start from a clean slot.
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tt.set_approval_callback(None)
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agent = _bare_agent()
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AIAgent._spawn_background_review(
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agent,
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messages_snapshot=[{"role": "user", "content": "hello"}],
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review_memory=True,
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)
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observed["after_finally"] = tt._get_approval_callback()
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assert callable(observed["during_run"]), (
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"Background review did not install an approval callback on its "
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"worker thread; dangerous-command prompts will deadlock against "
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"the parent TUI (#15216)."
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)
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# The installed callback must deny (it's a safety gate, not a prompt).
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assert observed["during_run"]("rm -rf /", "test") == "deny"
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assert observed["after_finally"] is None, (
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"Background review leaked its approval callback into the worker "
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"thread's TLS slot; a recycled thread-id could reuse it."
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)
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def test_background_review_summary_is_attributed_to_self_improvement_loop(monkeypatch):
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"""The CLI/gateway emission must identify the self-improvement loop.
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Users who miss the line in their terminal have no way to tell that the
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background review was what modified their skill/memory stores. The
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summary prefix ``💾 Self-improvement review: …`` makes the origin
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explicit so both the CLI and gateway deliveries are unambiguous.
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"""
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import json
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captured_prints: list = []
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captured_bg_callback: list = []
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class FakeReviewAgent:
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def __init__(self, **kwargs):
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# Simulate a review that successfully updated memory so
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# _summarize_background_review_actions returns a real action.
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self._session_messages = [
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{
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"role": "tool",
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"tool_call_id": "call_bg",
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"content": json.dumps(
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{"success": True, "message": "Entry added", "target": "memory"}
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),
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}
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]
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def run_conversation(self, **kwargs):
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pass
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def shutdown_memory_provider(self):
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pass
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def close(self):
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pass
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monkeypatch.setattr(run_agent_module, "AIAgent", FakeReviewAgent)
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monkeypatch.setattr(run_agent_module.threading, "Thread", ImmediateThread)
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agent = _bare_agent()
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agent._safe_print = lambda *a, **kw: captured_prints.append(" ".join(str(x) for x in a))
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agent.background_review_callback = lambda msg: captured_bg_callback.append(msg)
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AIAgent._spawn_background_review(
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agent,
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messages_snapshot=[{"role": "user", "content": "hi"}],
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review_memory=True,
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)
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# Exactly one summary should have been emitted, and it must identify
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# the self-improvement review explicitly.
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assert len(captured_prints) == 1, captured_prints
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printed = captured_prints[0]
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assert "Self-improvement review" in printed, printed
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assert "Memory updated" in printed, printed
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# Gateway path gets the same prefix.
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assert len(captured_bg_callback) == 1
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assert captured_bg_callback[0].startswith("💾 Self-improvement review:"), (
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captured_bg_callback[0]
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)
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