feat(agent): 增加 LLM 路由与诊断日志

tests/test_file_summary_workflow.py

@@ -1,6 +1,7 @@
 import pytest
 
 from review_agent.file_summary.workflow import create_file_summary_batch, start_file_summary_workflow
+from review_agent.skill_router import SkillRoute
 from review_agent.models import (
     Conversation,
     FileAttachment,
@@ -102,6 +103,21 @@ def test_stream_message_uses_normal_llm_path_when_not_triggered(monkeypatch, dja
     assert "workflow_started" not in joined
 
 
+def test_stream_message_meta_uses_first_prompt_title_for_new_conversation(monkeypatch, django_user_model):
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="新对话 01-01 10:00")
+
+    def fake_stream_reply(conversation, content):
+        yield "普通回复"
+
+    monkeypatch.setattr("review_agent.services.stream_reply", fake_stream_reply)
+
+    frames = list(stream_message(conversation, "这是第一条新对话消息"))
+
+    assert '"title": "这是第一条新对话消息"' in frames[0]
+    assert '"title": "这是第一条新对话消息"' in frames[-1]
+
+
 def test_stream_message_reads_active_attachment_when_requested(settings, tmp_path, django_user_model):
     settings.MEDIA_ROOT = tmp_path
     user = django_user_model.objects.create_user(username="owner", password="pass")
@@ -124,3 +140,91 @@ def test_stream_message_reads_active_attachment_when_requested(settings, tmp_pat
     assert "detail.txt" in joined
     assert "RA-2026" in joined
     assert "workflow_started" not in joined
+
+
+def test_stream_message_returns_error_event_when_unexpected_stream_error(monkeypatch, django_user_model):
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+
+    def broken_stream_reply(conversation, content):
+        yield "已生成部分内容"
+        raise RuntimeError("provider connection reset")
+
+    monkeypatch.setattr("review_agent.services.stream_reply", broken_stream_reply)
+
+    frames = list(stream_message(conversation, "普通问题"))
+
+    joined = "".join(frames)
+    assert "已生成部分内容" in joined
+    assert "回复生成中断" in joined
+    assert "done" in joined
+    assert Message.objects.filter(conversation=conversation, role=Message.Role.ASSISTANT).exists()
+
+
+def test_stream_message_uses_llm_router_for_attachment_reader(
+    monkeypatch,
+    settings,
+    tmp_path,
+    django_user_model,
+):
+    settings.MEDIA_ROOT = tmp_path
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+    attachment_path = tmp_path / "uploads" / "resume.txt"
+    attachment_path.parent.mkdir(parents=True)
+    attachment_path.write_text("项目经历：负责审核智能体附件解析模块。", encoding="utf-8")
+    FileAttachment.objects.create(
+        conversation=conversation,
+        user=user,
+        original_name="resume.txt",
+        storage_path="uploads/resume.txt",
+        file_size=attachment_path.stat().st_size,
+    )
+
+    monkeypatch.setattr(
+        "review_agent.services.route_message_intent",
+        lambda conversation, content: SkillRoute(
+            action="attachment_reader",
+            skill_name="attachment_reader",
+            confidence=0.91,
+            reason="需要读取上传简历。",
+            source="llm",
+        ),
+    )
+
+    frames = list(stream_message(conversation, "帮我整理其中的项目经历"))
+
+    joined = "".join(frames)
+    assert "附件解析结果" in joined
+    assert "审核智能体附件解析模块" in joined
+    assert "模型调用失败" not in joined
+
+
+def test_stream_message_uses_llm_router_for_file_summary(monkeypatch, settings, django_user_model):
+    settings.FILE_SUMMARY_ASYNC = False
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+    FileAttachment.objects.create(
+        conversation=conversation,
+        user=user,
+        original_name="a.docx",
+        storage_path="x/a.docx",
+        file_size=1,
+    )
+    monkeypatch.setattr(
+        "review_agent.services.route_message_intent",
+        lambda conversation, content: SkillRoute(
+            action="file_summary",
+            workflow_type="file_summary",
+            confidence=0.93,
+            reason="需要执行文件目录与页数汇总。",
+            source="llm",
+        ),
+    )
+
+    frames = list(stream_message(conversation, "处理一下这批资料"))
+
+    joined = "".join(frames)
+    assert "workflow_started" in joined
+    assert "\"workflow_type\": \"file_summary\"" in joined
+    assert FileSummaryBatch.objects.filter(conversation=conversation).exists()