落地多段联运私聊：齐了才建单拉群，附件只收格子值，核对改正不再整单重开。

Co-authored-by: Cursor <cursoragent@cursor.com>

inquiry-agent/agent/handlers/attachment_inquiry.py

@@ -30,6 +30,30 @@ VisionFn = Callable[..., dict[str, Any]]
 DownloadFn = Callable[[str], tuple[bytes, str]]
 PutFn = Callable[..., dict[str, Any]]
 
+
+def prefer_extracted_oral(raw_text: str, organized: str) -> str:
+    """
+    千问把报价单整理成空、几个字或几十个字时，改用抽出的单元格原文。
+
+    测服复现：陆运 997 字被压成 48 字、海运 1325 字被压成 52 字，
+    多段补问就只剩货量/运输分类，起运港目的港整段待补充。
+    整理结果够长、没有被大幅压短时仍用整理后的，方便人读。
+    """
+    raw = (raw_text or "").strip()
+    org = (organized or "").strip()
+    if not raw:
+        return org
+    if not org:
+        return raw
+    # 报价单原文很长、整理后只剩几分之一：用原文。997→48、1325→52 都走这里。
+    if len(raw) >= 200 and len(org) * 8 < len(raw):
+        return raw
+    if len(org) < 8 and len(raw) >= 40:
+        return raw
+    if len(org) < 40 and len(org) * 5 < len(raw):
+        return raw
+    return org
+
 _STASH: dict[str, bytes] = {}
 _STASH_LOCK = threading.Lock()
 _PRECEDE_NOISE = (
@@ -68,10 +92,17 @@ def _stash_get(key: str) -> bytes:
 
 
 def drop_all_private_bookmarks(sender_id: str) -> None:
-    """三线当前书签都丢掉；已出号仍能按工单号找回。"""
+    """
+    海运/空运/陆运/多段当前书签都丢掉；已出号仍能按工单号找回。
+
+    附件发卡或认完必须连多段一起清：否则旧补问草稿会把新附件口播当成补字段，
+    海运只剩货量/运输分类，陆运再问一遍运输类型。
+    """
     from agent.handlers.image_inquiry import drop_all_private_bookmarks as _drop
+    from agent.policy.multi_text_flow import get_multi_text_flow
 
     _drop(sender_id)
+    get_multi_text_flow().drop_current_bookmark(sender_id)
 
 
 def is_active_attachment_wait(sender_id: str, *, now: Optional[float] = None) -> bool:
@@ -404,6 +435,8 @@ def finish_attach_wave(
         media=dict(seed_message.media) if seed_message else {},
         raw=dict(seed_message.raw) if seed_message else {},
     )
+    # 认完附件一律新开：不能粘在发卡前留下的多段/单段补问草稿上。
+    drop_all_private_bookmarks(sender_id)
     phase = handle_text_inquiry(inbound, store=_StoreProxy())
     if reason and not prefix_used["v"]:
         msg_store.enqueue_outbound(
@@ -612,9 +645,18 @@ def _recognize_file(
                 allow_network=bool(settings.llm_allow_network and settings.llm_data_usage_confirmed),
             )
         if packed.get("ok") and str(packed.get("text") or "").strip():
-            organized = str(packed.get("text") or "")
+            organized = prefer_extracted_oral(raw_text, str(packed.get("text") or ""))
         elif not packed.get("ok"):
             org_err = str(packed.get("error") or org_err or "attachment_text_failed")
+    logger.info(
+        "attachment 认完 sender=%s idx=%s name=%s raw_len=%s oral_len=%s err=%s",
+        sender_id,
+        index,
+        filename,
+        len(raw_text),
+        len((organized or "").strip()),
+        org_err or "-",
+    )
     book.complete_material(
         sender_id,
         index,