机器人显示名与站点标题可配；多段联运列表投影；协同群监听对账；工单附件落存；模板与工单后台补强

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

inquiry-agent/agent/policy/multi_segments.py

@@ -182,12 +182,16 @@ def _shared_cargo_facts(header: str) -> dict[str, str]:
 
 def _cargo_name_before_segments(raw: str) -> str:
     """段前货物句里，去掉件数重量体积包装后剩下的那一个品名。"""
+    from agent.llm.extract_text import is_clarify_ui_prompt
+
     cleaned = _SHARED_NOISE.sub(" ", raw or "")
     parts: list[str] = []
     for part in re.split(r"[，,、;；\n]+", cleaned):
         token = part.strip(" ：:。.")
         if not token or re.fullmatch(r"[\d.\s*xX×]+", token):
             continue
+        if is_clarify_ui_prompt(token):
+            continue
         if any(word in token for word in ("到", "飞", "空运", "海运", "陆运", "段")):
             continue
         parts.append(token)
@@ -606,12 +610,14 @@ def _lacking_indexes(segments: list[Segment]) -> list[int]:
 
 def _facts_from_body(body: str, mode: str) -> dict[str, str]:
     """一段正文里的「字段名：值」。陆运再收运输类型、线路类别和销售侧叫法。"""
+    from agent.llm.extract_text import clip_inquiry_value
+
     facts = parse_labeled_facts(body)
     for line in (body or "").splitlines():
         matched = _EXTRA_LABEL.match(line.strip())
         if not matched:
             continue
-        key, val = matched.group(1), matched.group(2).strip()
+        key, val = matched.group(1), clip_inquiry_value(matched.group(2))
         if val and not str(facts.get(key) or "").strip():
             facts[key] = val
     if mode == "LAND":