Files
strix/tests/tools/test_agents_graph_whitebox.py
2026-03-31 16:44:48 -04:00

416 lines
14 KiB
Python

from types import SimpleNamespace
import strix.agents as agents_module
from strix.llm.config import LLMConfig
from strix.tools.agents_graph import agents_graph_actions
def test_create_agent_inherits_parent_whitebox_flag(monkeypatch) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-5")
agents_graph_actions._agent_graph["nodes"].clear()
agents_graph_actions._agent_graph["edges"].clear()
agents_graph_actions._agent_messages.clear()
agents_graph_actions._running_agents.clear()
agents_graph_actions._agent_instances.clear()
agents_graph_actions._agent_states.clear()
parent_id = "parent-agent"
parent_llm = LLMConfig(timeout=123, scan_mode="standard", is_whitebox=True)
agents_graph_actions._agent_instances[parent_id] = SimpleNamespace(
llm_config=parent_llm,
non_interactive=True,
)
captured_config: dict[str, object] = {}
class FakeStrixAgent:
def __init__(self, config: dict[str, object]):
captured_config["agent_config"] = config
class FakeThread:
def __init__(self, target, args, daemon, name):
self.target = target
self.args = args
self.daemon = daemon
self.name = name
def start(self) -> None:
return None
monkeypatch.setattr(agents_module, "StrixAgent", FakeStrixAgent)
monkeypatch.setattr(agents_graph_actions.threading, "Thread", FakeThread)
agent_state = SimpleNamespace(
agent_id=parent_id,
get_conversation_history=list,
)
result = agents_graph_actions.create_agent(
agent_state=agent_state,
task="source-aware child task",
name="SourceAwareChild",
inherit_context=False,
)
assert result["success"] is True
llm_config = captured_config["agent_config"]["llm_config"]
assert isinstance(llm_config, LLMConfig)
assert llm_config.timeout == 123
assert llm_config.scan_mode == "standard"
assert llm_config.is_whitebox is True
child_task = captured_config["agent_config"]["state"].task
assert "White-box execution guidance (recommended when source is available):" in child_task
assert "mandatory" not in child_task.lower()
def test_delegation_prompt_includes_wiki_memory_instruction_in_whitebox(monkeypatch) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-5")
agents_graph_actions._agent_graph["nodes"].clear()
agents_graph_actions._agent_graph["edges"].clear()
agents_graph_actions._agent_messages.clear()
agents_graph_actions._running_agents.clear()
agents_graph_actions._agent_instances.clear()
agents_graph_actions._agent_states.clear()
parent_id = "parent-1"
child_id = "child-1"
agents_graph_actions._agent_graph["nodes"][parent_id] = {"name": "Parent", "status": "running"}
agents_graph_actions._agent_graph["nodes"][child_id] = {"name": "Child", "status": "running"}
class FakeState:
def __init__(self) -> None:
self.agent_id = child_id
self.agent_name = "Child"
self.parent_id = parent_id
self.task = "analyze source risks"
self.stop_requested = False
self.messages: list[tuple[str, str]] = []
def add_message(self, role: str, content: str) -> None:
self.messages.append((role, content))
def model_dump(self) -> dict[str, str]:
return {"agent_id": self.agent_id}
class FakeAgent:
def __init__(self) -> None:
self.llm_config = LLMConfig(is_whitebox=True)
async def agent_loop(self, _task: str) -> dict[str, bool]:
return {"ok": True}
state = FakeState()
agent = FakeAgent()
agents_graph_actions._agent_instances[child_id] = agent
result = agents_graph_actions._run_agent_in_thread(agent, state, inherited_messages=[])
assert result["result"] == {"ok": True}
task_messages = [msg for role, msg in state.messages if role == "user"]
assert task_messages
assert 'list_notes(category="wiki")' in task_messages[-1]
assert "get_note(note_id=...)" in task_messages[-1]
assert "Before agent_finish" in task_messages[-1]
def test_agent_finish_appends_wiki_update_for_whitebox(monkeypatch) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-5")
agents_graph_actions._agent_graph["nodes"].clear()
agents_graph_actions._agent_graph["edges"].clear()
agents_graph_actions._agent_messages.clear()
agents_graph_actions._running_agents.clear()
agents_graph_actions._agent_instances.clear()
agents_graph_actions._agent_states.clear()
parent_id = "parent-2"
child_id = "child-2"
agents_graph_actions._agent_graph["nodes"][parent_id] = {
"name": "Parent",
"task": "parent task",
"status": "running",
"parent_id": None,
}
agents_graph_actions._agent_graph["nodes"][child_id] = {
"name": "Child",
"task": "child task",
"status": "running",
"parent_id": parent_id,
}
agents_graph_actions._agent_instances[child_id] = SimpleNamespace(
llm_config=LLMConfig(is_whitebox=True)
)
captured: dict[str, str] = {}
def fake_list_notes(category=None):
assert category == "wiki"
return {
"success": True,
"notes": [{"note_id": "wiki-note-1", "content": "Existing wiki content"}],
"total_count": 1,
}
captured_get: dict[str, str] = {}
def fake_get_note(note_id: str):
captured_get["note_id"] = note_id
return {
"success": True,
"note": {
"note_id": note_id,
"title": "Repo Wiki",
"content": "Existing wiki content",
},
}
def fake_append_note_content(note_id: str, delta: str):
captured["note_id"] = note_id
captured["delta"] = delta
return {"success": True, "note_id": note_id}
monkeypatch.setattr("strix.tools.notes.notes_actions.list_notes", fake_list_notes)
monkeypatch.setattr("strix.tools.notes.notes_actions.get_note", fake_get_note)
monkeypatch.setattr("strix.tools.notes.notes_actions.append_note_content", fake_append_note_content)
state = SimpleNamespace(agent_id=child_id, parent_id=parent_id)
result = agents_graph_actions.agent_finish(
agent_state=state,
result_summary="AST pass completed",
findings=["Found route sink candidate"],
success=True,
final_recommendations=["Validate sink with dynamic PoC"],
)
assert result["agent_completed"] is True
assert captured_get["note_id"] == "wiki-note-1"
assert captured["note_id"] == "wiki-note-1"
assert "Agent Update: Child" in captured["delta"]
assert "AST pass completed" in captured["delta"]
def test_run_agent_in_thread_injects_shared_wiki_context_in_whitebox(monkeypatch) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-5")
agents_graph_actions._agent_graph["nodes"].clear()
agents_graph_actions._agent_graph["edges"].clear()
agents_graph_actions._agent_messages.clear()
agents_graph_actions._running_agents.clear()
agents_graph_actions._agent_instances.clear()
agents_graph_actions._agent_states.clear()
parent_id = "parent-3"
child_id = "child-3"
agents_graph_actions._agent_graph["nodes"][parent_id] = {"name": "Parent", "status": "running"}
agents_graph_actions._agent_graph["nodes"][child_id] = {"name": "Child", "status": "running"}
class FakeState:
def __init__(self) -> None:
self.agent_id = child_id
self.agent_name = "Child"
self.parent_id = parent_id
self.task = "map source"
self.stop_requested = False
self.messages: list[tuple[str, str]] = []
def add_message(self, role: str, content: str) -> None:
self.messages.append((role, content))
def model_dump(self) -> dict[str, str]:
return {"agent_id": self.agent_id}
class FakeAgent:
def __init__(self) -> None:
self.llm_config = LLMConfig(is_whitebox=True)
async def agent_loop(self, _task: str) -> dict[str, bool]:
return {"ok": True}
captured_get: dict[str, str] = {}
def fake_list_notes(category=None):
assert category == "wiki"
return {
"success": True,
"notes": [{"note_id": "wiki-ctx-1"}],
"total_count": 1,
}
def fake_get_note(note_id: str):
captured_get["note_id"] = note_id
return {
"success": True,
"note": {
"note_id": note_id,
"title": "Shared Repo Wiki",
"content": "Architecture: server/client split",
},
}
monkeypatch.setattr("strix.tools.notes.notes_actions.list_notes", fake_list_notes)
monkeypatch.setattr("strix.tools.notes.notes_actions.get_note", fake_get_note)
state = FakeState()
agent = FakeAgent()
agents_graph_actions._agent_instances[child_id] = agent
result = agents_graph_actions._run_agent_in_thread(agent, state, inherited_messages=[])
assert result["result"] == {"ok": True}
assert captured_get["note_id"] == "wiki-ctx-1"
user_messages = [content for role, content in state.messages if role == "user"]
assert user_messages
assert "<shared_repo_wiki" in user_messages[0]
assert "Architecture: server/client split" in user_messages[0]
def test_load_primary_wiki_note_prefers_repo_tag_match(monkeypatch) -> None:
selected_note_ids: list[str] = []
def fake_list_notes(category=None):
assert category == "wiki"
return {
"success": True,
"notes": [
{"note_id": "wiki-other", "tags": ["repo:other"]},
{"note_id": "wiki-target", "tags": ["repo:appsmith"]},
],
"total_count": 2,
}
def fake_get_note(note_id: str):
selected_note_ids.append(note_id)
return {
"success": True,
"note": {"note_id": note_id, "title": "Repo Wiki", "content": "content"},
}
monkeypatch.setattr("strix.tools.notes.notes_actions.list_notes", fake_list_notes)
monkeypatch.setattr("strix.tools.notes.notes_actions.get_note", fake_get_note)
agent_state = SimpleNamespace(
task="analyze /workspace/appsmith",
context={"whitebox_repo_tags": ["repo:appsmith"]},
)
note = agents_graph_actions._load_primary_wiki_note(agent_state)
assert note is not None
assert note["note_id"] == "wiki-target"
assert selected_note_ids == ["wiki-target"]
def test_load_primary_wiki_note_prefers_requested_wiki_kind(monkeypatch) -> None:
selected_note_ids: list[str] = []
def fake_list_notes(category=None):
assert category == "wiki"
return {
"success": True,
"notes": [
{"note_id": "wiki-security", "tags": ["repo:appsmith", "wiki:security"]},
{"note_id": "wiki-overview", "tags": ["repo:appsmith", "wiki:overview"]},
],
"total_count": 2,
}
def fake_get_note(note_id: str):
selected_note_ids.append(note_id)
return {
"success": True,
"note": {
"note_id": note_id,
"title": "Repo Wiki",
"content": "content",
},
}
monkeypatch.setattr("strix.tools.notes.notes_actions.list_notes", fake_list_notes)
monkeypatch.setattr("strix.tools.notes.notes_actions.get_note", fake_get_note)
agent_state = SimpleNamespace(task="analyze /workspace/appsmith")
overview_note = agents_graph_actions._load_primary_wiki_note(
agent_state,
preferred_kind="overview",
allow_kind_fallback=False,
)
security_note = agents_graph_actions._load_primary_wiki_note(
agent_state,
preferred_kind="security",
allow_kind_fallback=True,
)
assert overview_note is not None
assert security_note is not None
assert overview_note["note_id"] == "wiki-overview"
assert security_note["note_id"] == "wiki-security"
assert selected_note_ids == ["wiki-overview", "wiki-security"]
def test_agent_finish_prefers_security_wiki_for_append(monkeypatch) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-5")
agents_graph_actions._agent_graph["nodes"].clear()
agents_graph_actions._agent_graph["edges"].clear()
agents_graph_actions._agent_messages.clear()
agents_graph_actions._running_agents.clear()
agents_graph_actions._agent_instances.clear()
agents_graph_actions._agent_states.clear()
parent_id = "parent-sec"
child_id = "child-sec"
agents_graph_actions._agent_graph["nodes"][parent_id] = {
"name": "Parent",
"task": "parent task",
"status": "running",
"parent_id": None,
}
agents_graph_actions._agent_graph["nodes"][child_id] = {
"name": "Child",
"task": "child task",
"status": "running",
"parent_id": parent_id,
}
agents_graph_actions._agent_instances[child_id] = SimpleNamespace(
llm_config=LLMConfig(is_whitebox=True)
)
captured: dict[str, str] = {}
def fake_list_notes(category=None):
assert category == "wiki"
return {
"success": True,
"notes": [
{"note_id": "wiki-overview", "tags": ["repo:appsmith", "wiki:overview"]},
{"note_id": "wiki-security", "tags": ["repo:appsmith", "wiki:security"]},
],
"total_count": 2,
}
def fake_get_note(note_id: str):
return {
"success": True,
"note": {"note_id": note_id, "title": "Repo Wiki", "content": "Existing wiki content"},
}
def fake_append_note_content(note_id: str, delta: str):
captured["note_id"] = note_id
captured["delta"] = delta
return {"success": True, "note_id": note_id}
monkeypatch.setattr("strix.tools.notes.notes_actions.list_notes", fake_list_notes)
monkeypatch.setattr("strix.tools.notes.notes_actions.get_note", fake_get_note)
monkeypatch.setattr("strix.tools.notes.notes_actions.append_note_content", fake_append_note_content)
state = SimpleNamespace(agent_id=child_id, parent_id=parent_id, task="analyze /workspace/appsmith")
result = agents_graph_actions.agent_finish(
agent_state=state,
result_summary="Static triage completed",
findings=["Found candidate sink"],
success=True,
final_recommendations=["Validate with dynamic PoC"],
)
assert result["agent_completed"] is True
assert captured["note_id"] == "wiki-security"
assert "Static triage completed" in captured["delta"]