Files
ai-video-fullstack/backend/tests/test_workflow_router.py
Xin Wang 72856bf3a7 Enhance workflow routing and agent configuration management
- Introduce WorkflowLLMRouter for pre-response LLM routing, allowing agents to determine the appropriate function to call based on user input.
- Implement UserTurnRoutingProcessor to manage user turns before reaching the LLM, ensuring proper routing and handling of user messages.
- Refactor WorkflowBrain to integrate new routing logic and enhance agent stage configuration, including entry modes and resource management.
- Update service factory to support dynamic LLM resource configuration based on workflow settings.
- Add tests for new routing functionality and ensure proper handling of user messages in various scenarios.
2026-07-14 09:36:28 +08:00

76 lines
2.5 KiB
Python

from __future__ import annotations
import unittest
from types import SimpleNamespace
from unittest.mock import patch
from models import AssistantConfig
from services.workflow_router import WorkflowLLMRouter
class WorkflowLLMRouterTest(unittest.IsolatedAsyncioTestCase):
async def test_uses_required_tool_choice_without_developer_messages(self):
requests = []
class FakeCompletions:
async def create(self, **kwargs):
requests.append(kwargs)
return SimpleNamespace(
choices=[
SimpleNamespace(
message=SimpleNamespace(
tool_calls=[
SimpleNamespace(
function=SimpleNamespace(name="goto_age", arguments="{}")
)
]
)
)
]
)
class FakeClient:
def __init__(self, **_kwargs):
self.chat = SimpleNamespace(completions=FakeCompletions())
self.closed = False
async def close(self):
self.closed = True
cfg = AssistantConfig(
type="workflow",
model="deepseek-chat",
llm_api_key="secret",
llm_base_url="https://llm.test/v1",
)
router = WorkflowLLMRouter(cfg)
edges = [
{
"id": "age",
"data": {"condition": "用户已经回答姓名", "priority": 10},
}
]
with patch("services.workflow_router.AsyncOpenAI", FakeClient):
selected = await router.select_edge(
node_name="询问姓名",
node_prompt="询问用户姓名",
edges=edges,
history=[{"role": "user", "message": "我叫李白"}],
variables={"customer_type": "new"},
edge_name=lambda _edge: "goto_age",
edge_description=lambda _edge: "用户已经回答姓名",
)
self.assertEqual(selected, "goto_age")
self.assertEqual(requests[0]["tool_choice"], "required")
self.assertEqual(
[message["role"] for message in requests[0]["messages"]],
["system", "user"],
)
self.assertNotIn("developer", str(requests[0]["messages"]))
if __name__ == "__main__":
unittest.main()