feat(frontend): 优化对话与管理页面展示体验

tests/test_chat.py

@@ -1,5 +1,6 @@
 from django.urls import reverse
 
+from agent_core.results import AgentResult
 from apps.audit.models import AgentAuditLog
 from apps.documents.models import UploadedDocument
 
@@ -58,3 +59,49 @@ def test_chat_passes_selected_document_ids_to_agent_core(client, db, monkeypatch
     assert response.status_code == 200
     assert captured["options"]["document_ids"] == [selected.id]
     assert other.id not in captured["options"]["document_ids"]
+
+
+def test_chat_renders_structured_output_references_and_tool_calls(client, db, monkeypatch):
+    def fake_run_agent(scenario_config, user_input, options=None):
+        return AgentResult(
+            answer="建议先隔离现场。",
+            structured_output={
+                "output_type": "quality_report",
+                "summary": "发现异常批次需要立即处置。",
+                "risk_level": "high",
+                "suggested_actions": ["隔离现场", "通知负责人"],
+            },
+            references=[
+                {
+                    "source": "sop.md",
+                    "content": "异常处理 SOP：先隔离现场，再通知负责人。",
+                }
+            ],
+            tool_calls=[
+                {
+                    "tool_name": "query_demo_records",
+                    "success": True,
+                    "result": {"records": [{"title": "A线缺陷"}]},
+                    "error": "",
+                }
+            ],
+            model_name="mock-model",
+            status="success",
+        )
+
+    monkeypatch.setattr("apps.chat.views.run_agent", fake_run_agent)
+
+    response = client.post(
+        reverse("chat:index", args=["quality_analysis"]),
+        {"message": "分析 A 线异常"},
+    )
+
+    content = response.content.decode("utf-8")
+    assert response.status_code == 200
+    assert "结构化结果" in content
+    assert "发现异常批次需要立即处置" in content
+    assert "引用片段" in content
+    assert "sop.md" in content
+    assert "工具调用" in content
+    assert "query_demo_records" in content
+    assert "查看本次审计日志" in content