deer-flow/backend/tests/test_security_scanner.py
Airene Fang 11f557a2c6
feat(trace):Add run_name to the trace info for system agents. (#2492)
* feat(trace): Add `run_name` to the trace info for suggestions and memory.

before(in langsmith):
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
memory_agent
lead_agent

feat(trace): Add `run_name` to the trace info for suggestions and memory.

before(in langsmith):
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
memory_agent
lead_agent

* feat(trace): Add `run_name` to the trace info for system agents.

before(in langsmith):
CodexChatModel
CodexChatModel
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
title_agent
security_agent
memory_agent
lead_agent

* chore(code format):code format

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-04-24 17:06:55 +08:00

39 lines
1.6 KiB
Python

from types import SimpleNamespace
import pytest
from deerflow.skills.security_scanner import scan_skill_content
@pytest.mark.anyio
async def test_scan_skill_content_passes_run_name_to_model(monkeypatch):
config = SimpleNamespace(skill_evolution=SimpleNamespace(moderation_model_name=None))
fake_response = SimpleNamespace(content='{"decision":"allow","reason":"ok"}')
class FakeModel:
async def ainvoke(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
return fake_response
model = FakeModel()
monkeypatch.setattr("deerflow.skills.security_scanner.get_app_config", lambda: config)
monkeypatch.setattr("deerflow.skills.security_scanner.create_chat_model", lambda **kwargs: model)
result = await scan_skill_content("---\nname: demo-skill\ndescription: demo\n---\n", executable=False)
assert result.decision == "allow"
assert model.kwargs["config"] == {"run_name": "security_agent"}
@pytest.mark.anyio
async def test_scan_skill_content_blocks_when_model_unavailable(monkeypatch):
config = SimpleNamespace(skill_evolution=SimpleNamespace(moderation_model_name=None))
monkeypatch.setattr("deerflow.skills.security_scanner.get_app_config", lambda: config)
monkeypatch.setattr("deerflow.skills.security_scanner.create_chat_model", lambda **kwargs: (_ for _ in ()).throw(RuntimeError("boom")))
result = await scan_skill_content("---\nname: demo-skill\ndescription: demo\n---\n", executable=False)
assert result.decision == "block"
assert "manual review required" in result.reason