fix: preserve agent debug conversation context

ai_knowledge_base_v2/apps/backend/tests/test_agent_runtime_config.py

@@ -1,7 +1,7 @@
 import asyncio
 from decimal import Decimal
 import json
-from unittest.mock import patch
+from unittest.mock import AsyncMock, patch
 
 import pytest
 from sqlalchemy import create_engine
@@ -164,6 +164,37 @@ def test_debug_stream_setting_overrides_model_without_changing_it():
     assert AgentDebugService.overrides(payload)["stream_enabled"] == 0
 
 
+def test_debug_preview_passes_conversation_history_and_replaces_saved_prompt():
+    rag_result = RagResult(
+        question="再回答上面的问题",
+        knowledge_scopes=[],
+        chunks=[],
+        prompt="调试提示词渲染结果",
+        allow_general_knowledge=True,
+        messages=[{"role": "system", "content": "调试主提示词"}],
+    )
+    payload = AgentDebugRequest(
+        promptContent="调试主提示词",
+        modelId=1,
+        question="再回答上面的问题",
+        history=[
+            {"role": "user", "content": "最开始的问题"},
+            {"role": "assistant", "content": "第一次回答"},
+        ],
+    )
+
+    with _database() as db:
+        build_result = AsyncMock(return_value=rag_result)
+        with patch("app.services.agent_debug_service.KnowledgeAgentService.build_result", build_result):
+            result = asyncio.run(AgentDebugService.build_result(db, payload))
+
+    kwargs = build_result.await_args.kwargs
+    assert [item.content for item in kwargs["history"]] == ["最开始的问题", "第一次回答"]
+    assert kwargs["prompt_override"] == "调试主提示词"
+    assert result.messages == rag_result.messages
+    assert result.prompt == "调试提示词渲染结果"
+
+
 @pytest.mark.parametrize("reasoning_visible", [True, False])
 def test_agent_debug_stream_respects_reasoning_visibility(reasoning_visible):
     async def chunks():

ai_knowledge_base_v2/apps/backend/tests/test_knowledge_agent.py

@@ -269,10 +269,30 @@ def test_contextual_follow_up_is_rewritten_before_agent_decision():
         rewrite = next(item for item in result.tool_trace if item["tool"] == "rewrite_contextual_question")
         decision = next(item for item in result.tool_trace if item["tool"] == "agent_decision")
 
-        assert rewrite["rewrittenQuestion"] == "关于“课程退款条件有哪些？”的追问：那第二种情况呢？"
+        assert rewrite["rewrittenQuestion"] == (
+            "结合以下历史问题回答当前追问：\n"
+            "历史问题1：课程退款条件有哪些？\n"
+            "当前追问：那第二种情况呢？"
+        )
         assert decision["request"]["question"] == rewrite["rewrittenQuestion"]
 
 
+def test_long_follow_up_reference_is_detected_and_keeps_multiple_user_questions():
+    history = [
+        ChatMessage(id=1, session_id=1, user_id=1, role="user", content="觉式练习和慧氏练习分别是什么，区别是什么？"),
+        ChatMessage(id=2, session_id=1, user_id=1, role="assistant", content="暂时无法确认。"),
+        ChatMessage(id=3, session_id=1, user_id=1, role="user", content="阴影人格练习步骤是什么？"),
+        ChatMessage(id=4, session_id=1, user_id=1, role="assistant", content="先稳定状态，再进行觉察。"),
+    ]
+    question = "你能根据这个练习的基本方向再来回答一下我上面的问题吗？"
+
+    assert KnowledgeAgentService._needs_contextual_rewrite(question) is True
+    rewritten = KnowledgeAgentService._fallback_rewrite(question, history)
+    assert "觉式练习和慧氏练习" in rewritten
+    assert "阴影人格练习步骤" in rewritten
+    assert question in rewritten
+
+
 def test_homework_overview_expands_practice_terms_and_section_limit():
     terms = KnowledgeAgentService._query_terms("合一的作业是什么？")