基线：姓名档案修复、疑问句防误写、搜索与传输测试

这是进入 Pipecat Flows 改造前的回滚点。
提交时已核对本地与线上代码 md5 一致（engine.py 7e97bad8、
bot_server.py 1cf543ae），所以这个提交就是当前线上状态。

内容（此前一直在线上运行但未提交的改动）：
- 姓名档案：用户自报"我叫林"同步写 confirmed 姓名，重连后恢复
- 疑问句防误写："谁吗"之类的疑问句不再被覆盖成姓名
- 新增 test_profile_memory.py（姓名档案专项回归）
- 新增 test_profile_live.py（需要真实 LLM 的现场测试）
- 搜索、身份、记忆测试的相应补充

背景：下一步要按 P1-Pipecat Flows Agent化与记忆改造交接.md
渐进引入 Pipecat Flows，交接文档明确要求先保护基线、不得
reset/checkout/覆盖现有改动。此提交即该基线。

app/tests/test_profile_memory.py

@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+"""用户称呼跨会话持久化与内部 ID 隔离回归测试。"""
+
+from __future__ import annotations
+
+import asyncio
+import shutil
+import sys
+import tempfile
+from pathlib import Path
+
+import numpy as np
+
+ROOT = Path(__file__).resolve().parent.parent.parent
+sys.path.insert(0, str(ROOT))
+
+from app.config import AppConfig  # noqa: E402
+from app.engine import (  # noqa: E402
+    ConversationEngine, extract_display_name, extract_memories,
+)
+from app.identity import ManualIdentityProvider  # noqa: E402
+from app.llm.base import Chunk, ChunkKind  # noqa: E402
+from app.memory import ConfirmStatus, SQLiteMemoryStore  # noqa: E402
+
+
+class FakeLLM:
+    name = "fake"
+    last_backend = "fake"
+
+    def __init__(self):
+        self.system_prompts = []
+
+    async def stream(self, messages, *, tools=None, max_tokens=None):
+        self.system_prompts.append(messages[0]["content"])
+        yield Chunk(kind=ChunkKind.CONTENT, text="好的。")
+        yield Chunk(kind=ChunkKind.DONE, finish_reason="stop")
+
+
+class FakeTTS:
+    sample_rate = 16000
+
+    def synthesize(self, _text):
+        return np.ones(160, dtype=np.float32) * 0.1
+
+
+async def consume(engine: ConversationEngine, text: str) -> None:
+    async for _event in engine.respond_to_text(text):
+        pass
+
+
+async def test_cross_session_profile() -> None:
+    tmp = Path(tempfile.mkdtemp(prefix="profile_memory_"))
+    store = SQLiteMemoryStore(tmp / "memory.db")
+    await store.open()
+    try:
+        cfg = AppConfig()
+        cfg.search.enabled = False
+        cfg.memory.auto_extract_enabled = False
+
+        first_llm = FakeLLM()
+        first = ConversationEngine(
+            cfg, first_llm, store, ManualIdentityProvider(), FakeTTS())
+        await first.start_session("profile_s1", user_id="u_internal")
+        await consume(first, "你好，我叫林。")
+        await first.end_session()
+
+        assert await store.get_user_display_name("u_internal") == "林"
+        memories = await store.list_memories("u_internal")
+        names = [m for m in memories if m.key == "姓名"]
+        assert len(names) == 1
+        assert names[0].value == "林"
+        assert names[0].confirm_status == ConfirmStatus.CONFIRMED
+
+        # 模拟 disconnect 后重新创建整个 ConversationEngine/IdentityProvider。
+        second_llm = FakeLLM()
+        second = ConversationEngine(
+            cfg, second_llm, store, ManualIdentityProvider(), FakeTTS())
+        await second.start_session("profile_s2", user_id="u_internal")
+        assert second.identity.current().display_name == "林"
+        await consume(second, "我是谁？")
+        prompt = second_llm.system_prompts[-1]
+        assert "林" in prompt
+        assert "u_internal" not in prompt
+        assert "内部 user_id" in prompt
+        await consume(second, "知道我是谁吗？")
+        assert await store.get_user_display_name("u_internal") == "林"
+        await consume(second, "我叫什么？")
+        assert await store.get_user_display_name("u_internal") == "林"
+        await second.end_session()
+    finally:
+        await store.close()
+        shutil.rmtree(tmp, ignore_errors=True)
+
+
+async def main() -> int:
+    assert extract_display_name("我叫林") == "林"
+    assert extract_display_name("你好我叫lin。") == "lin"
+    assert extract_display_name("我的名字是小林。") == "小林"
+    assert extract_display_name("你可以叫我老韩。") == "老韩"
+    assert extract_display_name("我是林。") == "林"
+    assert extract_display_name("我是程序员。") is None
+    assert extract_display_name("我叫什么？") is None
+    assert extract_display_name("我是谁？") is None
+    assert extract_display_name("知道我是谁吗？") is None
+    assert extract_display_name("我是林吗？") is None
+    assert extract_display_name("我叫什么名字？") is None
+    assert extract_memories("记住，我叫林。", "") == []
+    await test_cross_session_profile()
+    print("用户称呼跨会话回归测试：22/22 PASS")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(asyncio.run(main()))