feat: 增强注册审核节点式结果输出

tests/test_agent_core.py

@@ -305,3 +305,50 @@ def test_registration_risk_result_includes_owner_fields_and_notification_payload
 def test_supported_output_types_include_word_export_and_feishu_notification():
     assert "registration_word_export_report" in SUPPORTED_OUTPUT_TYPES
     assert "feishu_notification_report" in SUPPORTED_OUTPUT_TYPES
+
+
+def test_registration_risk_report_builds_eight_business_nodes():
+    scenario = {
+        "id": "document_review",
+        "name": "注册审核智能体",
+        "agent": {
+            "role": "注册审核助手",
+            "goal": "输出风险结果",
+            "instructions": ["输出结构化风险结果"],
+        },
+        "rag": {"enabled": False},
+        "tools": [],
+        "output": {"type": "registration_risk_report"},
+    }
+    provider_response = """
+    {
+      "summary": "存在高风险项，需人工复核。",
+      "highest_risk_level": "high",
+      "pass_status": "blocked",
+      "owner_roles": [],
+      "notify_reason": "task_completed"
+    }
+    """
+
+    class FakeProvider:
+        def generate(self, messages, response_format=None):
+            from agent_core.llm_provider import LLMResponse
+
+            return LLMResponse(content=provider_response, model_name="demo-model", success=True)
+
+    result = run_agent(scenario, "请输出风险结果", options={"llm_provider": FakeProvider()})
+
+    assert len(result.node_results) == 8
+    assert [node["label"] for node in result.node_results] == [
+        "资料包导入",
+        "目录汇总",
+        "法规完整性检查",
+        "字段抽取",
+        "一致性核查",
+        "风险预警",
+        "Word 回填导出",
+        "飞书通知",
+    ]
+    assert result.node_results[5]["status"] == "已阻断"
+    assert result.node_results[6]["status"] == "待处理"
+    assert result.node_results[7]["status"] == "待处理"