Handle low-overlap requirement topics as new plans

CLAUDE.md

@@ -572,7 +572,8 @@ uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
 - AdaptiveRAG 场景化 Prompt 选择器必须在 `mixin_deep_guard_answer.py` 组装 Prompt 前执行，并遵循固定优先级：成员负载 > 趋势（项目关联 external_trend / 通用 industry_trend） > mixed > AI PMO 入口 > 默认 RAG
 - 飞书中的“想聊需求 / 先别创建 / 先收敛第一版”类探索问题必须先由 `workflow_semantic_planner` 标记为 `message_intent=requirement_plan`，再统一落到 `PROMPT_AI_PMO_REQUIREMENT_PLAN_QA` 的需求收敛场景；该场景禁止落回“五大口径”评审或直接自动创建
 - `requirement_plan` 现在必须是多轮状态机，而不是单轮问一句：`ExecuteQueryProjectMixin` 要把同线程/同群同人的需求收敛状态持久化到 `mounted_topic_workspaces + mounted_draft_workspaces`，每轮只推进 1 个关键问题，信息足够后直接整理成 Feishu 友好的需求草稿
-- `requirement_plan` 不允许再把“同群同人”直接等同于“同一个需求 topic”：Mounted Runtime 必须用 `conversation_scope_key` 归并会话范围，再用显式 `topic_key` 区分具体需求；用户说“另一个需求 / 换个需求 / 不是这个需求”时必须新开 topic，并把旧 topic 置为 `suspended`
+- `requirement_plan` 不允许再把“同群同人”直接等同于“同一个需求 topic”：Mounted Runtime 必须用 `conversation_scope_key` 归并会话范围，再用显式 `topic_key` 区分具体需求；用户说“另一个需求 / 换个需求 / 不是这个需求 / 聊个新需求”时必须新开 topic，并把旧 topic 置为 `suspended`
+- `requirement_plan` 的 topic resolver 不能只靠显式关键词：当同会话存在 active plan workspace，且新消息是新的需求起手式、与当前 topic card/draft 的重叠度明显偏低时，必须按 `candidate_new_topic` 优先切新 topic；尤其旧 topic 已处于 `awaiting_execute_confirm / plan_ready` 时，不得继续把“关于 openclaw 批量部署”这类低重叠消息续写到“A 股打分工具”草稿上
 - `workflow_semantic_planner` 必须把“先按技术指标来 / 主要给投顾看 / 先做成飞书日报 / 每天收盘后更新”这类短槽位回答继续识别为 `message_intent=requirement_plan`，禁止第二轮开始掉回普通 query 或高阶 RAG
 - `workflow_semantic_planner` 也必须把通用需求收敛里的短槽位回答继续识别为 `message_intent=requirement_plan`，例如“先给内部 PM 和研发负责人用 / 飞书总结就行 / 每次会后半小时内整理出来”；这类碎片化回复不得因为没有新 `semantic_bundle` 就退回普通 query
 - `ExecuteQueryProjectMixin` 对 `message_intent=requirement_plan` 的查询必须优先走 mounted runtime 直答快路径：默认只输出自然短话术，每轮最多只保留 1 个关键问题；当 `scoring_basis/target_user/output_form/cadence/first_scope` 收集完成时，必须直接整理成需求草稿，禁止继续空转追问

backend/app/services/ai_pmo/ai_pmo_typed_executor_execute/mixin_execute_query_project.py

@@ -610,10 +610,193 @@ class ExecuteQueryProjectMixin:
             return False
         if WorkflowSemanticPlanner._looks_like_requirement_plan_slot_answer(message_text):
             return True
-        if cls._extract_requirement_plan_updates(message_text=message_text, card={}):
+        material_updates = {
+            key: value
+            for key, value in cls._extract_requirement_plan_updates(message_text=message_text, card={}).items()
+            if key not in {"plan_profile", "title", "goal"}
+        }
+        if material_updates:
             return True
         return any(token in normalized for token in ("整理成草稿", "出草稿", "汇总一下", "按这版", "就这样先收"))
 
+    @classmethod
+    def _collect_requirement_topic_text_fragments(cls, payload: Any) -> list[str]:
+        fragments: list[str] = []
+        if isinstance(payload, dict):
+            for value in payload.values():
+                fragments.extend(cls._collect_requirement_topic_text_fragments(value))
+            return fragments
+        if isinstance(payload, (list, tuple, set)):
+            for item in payload:
+                fragments.extend(cls._collect_requirement_topic_text_fragments(item))
+            return fragments
+        text = str(payload or "").strip()
+        if text:
+            fragments.append(text)
+        return fragments
+
+    @classmethod
+    def _build_requirement_topic_overlap_tokens(cls, text: str) -> set[str]:
+        normalized = WorkflowSemanticPlanner._normalize_text(text)
+        if not normalized:
+            return set()
+        for stopword in (
+            "想跟你聊",
+            "跟你聊",
+            "聊聊",
+            "聊个",
+            "聊需求",
+            "先不创建",
+            "先别创建",
+            "先不要创建",
+            "先收第一版",
+            "先收一版",
+            "第一版",
+            "关于",
+            "需求",
+            "项目",
+            "工具",
+            "系统",
+            "平台",
+            "方案",
+            "一个",
+            "这个",
+            "那个",
+            "我们",
+            "这次",
+            "现在",
+        ):
+            normalized = normalized.replace(stopword, "")
+        tokens: set[str] = {
+            token
+            for token in re.findall(r"[a-z][a-z0-9_-]{1,}", normalized)
+            if len(token) >= 2
+        }
+        chinese_text = re.sub(r"[a-z0-9_-]+", "", normalized)
+        for index in range(len(chinese_text) - 1):
+            token = chinese_text[index : index + 2]
+            if len(token.strip()) == 2:
+                tokens.add(token)
+        return tokens
+
+    @classmethod
+    def _compute_requirement_topic_overlap_score(
+        cls,
+        *,
+        topic: Optional[MountedTopicWorkspace],
+        draft: Optional[MountedDraftWorkspace],
+        message_text: str,
+    ) -> float:
+        context_parts: list[str] = []
+        if topic is not None:
+            context_parts.extend(cls._collect_requirement_topic_text_fragments(topic.facts_json))
+            context_parts.extend(cls._collect_requirement_topic_text_fragments(topic.goals_json))
+            context_parts.extend(cls._collect_requirement_topic_text_fragments(topic.constraints_json))
+        if draft is not None:
+            context_parts.extend(cls._collect_requirement_topic_text_fragments(draft.requirement_card))
+            context_parts.extend(cls._collect_requirement_topic_text_fragments(draft.draft_payload))
+        topic_tokens = cls._build_requirement_topic_overlap_tokens(" ".join(context_parts))
+        message_tokens = cls._build_requirement_topic_overlap_tokens(message_text)
+        if not topic_tokens or not message_tokens:
+            return 0.0
+        overlap = len(topic_tokens & message_tokens)
+        denominator = max(1, min(len(topic_tokens), len(message_tokens)))
+        return round(overlap / denominator, 4)
+
+    @classmethod
+    def _looks_like_requirement_new_topic_candidate(cls, *, message_text: str) -> bool:
+        normalized = WorkflowSemanticPlanner._normalize_text(message_text)
+        if not normalized:
+            return False
+        if WorkflowSemanticPlanner.looks_like_explicit_new_requirement_topic(message_text):
+            return True
+        if cls._looks_like_requirement_plan_continuation(message_text=message_text):
+            return False
+        if not cls._looks_like_requirement_plan_seed(message_text=message_text):
+            return False
+        return (
+            WorkflowSemanticPlanner._looks_like_requirement_plan_chat(message_text)
+            or WorkflowSemanticPlanner.looks_like_project_create_request(message_text)
+            or any(token in normalized for token in ("想做", "做个", "做一个", "有个需求", "关于"))
+        )
+
+    @classmethod
+    def _should_switch_requirement_topic_by_overlap(
+        cls,
+        *,
+        topic: MountedTopicWorkspace,
+        draft: Optional[MountedDraftWorkspace],
+        message_text: str,
+    ) -> bool:
+        if not cls._looks_like_requirement_new_topic_candidate(message_text=message_text):
+            return False
+        overlap_score = cls._compute_requirement_topic_overlap_score(
+            topic=topic,
+            draft=draft,
+            message_text=message_text,
+        )
+        plan_status = str(getattr(topic, "plan_status", "") or "").strip().lower()
+        if plan_status in {"awaiting_execute_confirm", "plan_ready"}:
+            return overlap_score <= 0.12
+        if plan_status == "options_ready":
+            return overlap_score <= 0.08
+        return overlap_score == 0.0
+
+    async def _find_active_requirement_plan_workspace(
+        self,
+        *,
+        source_system: str,
+        source_message_id: str,
+        source_chat_id: Optional[str],
+        sender: Optional[str],
+        source_sender_open_id: Optional[str],
+        thread_context: Optional[dict[str, Any]],
+        conversation_key: Optional[str],
+    ) -> tuple[Optional[MountedTopicWorkspace], Optional[MountedDraftWorkspace]]:
+        if not self._supports_requirement_plan_workspace(self.db):
+            return None, None
+        topic_key, conditions, root_message_id, thread_id, scope_key = self._build_requirement_plan_anchor_candidates(
+            source_system=source_system,
+            source_message_id=source_message_id,
+            source_chat_id=source_chat_id,
+            sender=sender,
+            source_sender_open_id=source_sender_open_id,
+            thread_context=thread_context,
+            conversation_key=conversation_key,
+            force_new_topic=False,
+        )
+        topic_rows = (
+            await self.db.execute(
+                select(MountedTopicWorkspace).where(
+                    MountedTopicWorkspace.tenant_id == int(self.tenant_id),
+                    MountedTopicWorkspace.source_system == str(source_system or "").strip().lower(),
+                    MountedTopicWorkspace.mode == "plan",
+                    MountedTopicWorkspace.status == "active",
+                    or_(*conditions),
+                )
+                .order_by(MountedTopicWorkspace.updated_at.desc(), MountedTopicWorkspace.id.desc())
+            )
+        ).scalars().all()
+        topic = self._select_requirement_plan_topic(
+            candidates=list(topic_rows),
+            topic_key=topic_key,
+            root_message_id=root_message_id,
+            thread_id=thread_id,
+            conversation_scope_key=scope_key or conversation_key,
+        )
+        if topic is None:
+            return None, None
+        draft = (
+            await self.db.execute(
+                select(MountedDraftWorkspace).where(
+                    MountedDraftWorkspace.tenant_id == int(self.tenant_id),
+                    MountedDraftWorkspace.topic_workspace_id == int(topic.id),
+                    MountedDraftWorkspace.state.in_(("collecting", "ready")),
+                )
+            )
+        ).scalar_one_or_none()
+        return topic, draft
+
     async def _load_requirement_plan_workspace(
         self,
         *,
@@ -723,9 +906,9 @@ class ExecuteQueryProjectMixin:
         conversation_key: Optional[str],
         force_new_topic: bool = False,
     ) -> bool:
-        if not self._supports_requirement_plan_workspace(self.db):
+        if force_new_topic:
             return False
-        topic_key, conditions, root_message_id, thread_id, scope_key = self._build_requirement_plan_anchor_candidates(
+        topic, draft = await self._find_active_requirement_plan_workspace(
             source_system=source_system,
             source_message_id=source_message_id,
             source_chat_id=source_chat_id,
@@ -733,41 +916,42 @@ class ExecuteQueryProjectMixin:
             source_sender_open_id=source_sender_open_id,
             thread_context=thread_context,
             conversation_key=conversation_key,
-            force_new_topic=force_new_topic,
         )
-        if force_new_topic:
-            return False
-        topic_rows = (
-            await self.db.execute(
-                select(MountedTopicWorkspace).where(
-                    MountedTopicWorkspace.tenant_id == int(self.tenant_id),
-                    MountedTopicWorkspace.source_system == str(source_system or "").strip().lower(),
-                    MountedTopicWorkspace.mode == "plan",
-                    MountedTopicWorkspace.status == "active",
-                    or_(*conditions),
-                )
-                .order_by(MountedTopicWorkspace.updated_at.desc(), MountedTopicWorkspace.id.desc())
-            )
-        ).scalars().all()
-        topic = self._select_requirement_plan_topic(
-            candidates=list(topic_rows),
-            topic_key=topic_key,
-            root_message_id=root_message_id,
-            thread_id=thread_id,
-            conversation_scope_key=scope_key or conversation_key,
+        return topic is not None and draft is not None
+
+    async def _infer_requirement_plan_topic_switch(
+        self,
+        *,
+        message_text: str,
+        source_system: str,
+        source_message_id: str,
+        source_chat_id: Optional[str],
+        sender: Optional[str],
+        source_sender_open_id: Optional[str],
+        thread_context: Optional[dict[str, Any]],
+        conversation_key: Optional[str],
+        message_intent: Optional[str],
+    ) -> Optional[str]:
+        if str(message_intent or "").strip().lower() != "requirement_plan":
+            return None
+        topic, draft = await self._find_active_requirement_plan_workspace(
+            source_system=source_system,
+            source_message_id=source_message_id,
+            source_chat_id=source_chat_id,
+            sender=sender,
+            source_sender_open_id=source_sender_open_id,
+            thread_context=thread_context,
+            conversation_key=conversation_key,
         )
         if topic is None:
-            return False
-        draft = (
-            await self.db.execute(
-                select(MountedDraftWorkspace).where(
-                    MountedDraftWorkspace.tenant_id == int(self.tenant_id),
-                    MountedDraftWorkspace.topic_workspace_id == int(topic.id),
-                    MountedDraftWorkspace.state.in_(("collecting", "ready")),
-                )
-            )
-        ).scalar_one_or_none()
-        return draft is not None
+            return None
+        if self._should_switch_requirement_topic_by_overlap(
+            topic=topic,
+            draft=draft,
+            message_text=message_text,
+        ):
+            return "new"
+        return None
 
     async def _build_requirement_planning_direct_result(
         self,
@@ -1189,6 +1373,18 @@ class ExecuteQueryProjectMixin:
             topic_switch = "new"
             message_intent = message_intent or "requirement_plan"
             consultant_mode_preference = consultant_mode_preference or "clarify"
+        if not topic_switch:
+            topic_switch = await self._infer_requirement_plan_topic_switch(
+                message_text=message_text,
+                source_system=source_system,
+                source_message_id=source_message_id,
+                source_chat_id=source_chat_id,
+                sender=None,
+                source_sender_open_id=source_sender_open_id,
+                thread_context=thread_context,
+                conversation_key=conversation_key,
+                message_intent=message_intent,
+            )
         if not message_intent and self._looks_like_requirement_plan_continuation(message_text=message_text):
             has_active_plan_workspace = await self._has_active_requirement_plan_workspace(
                 source_system=source_system,

backend/app/services/ai_pmo/workflow_semantic_planner/constants.py

@@ -176,9 +176,22 @@ REQUIREMENT_PLAN_CHAT_HINTS = (
     "先不要入库",
 )
 REQUIREMENT_TOPIC_SWITCH_NEW_HINTS = (
+    "聊个新需求",
+    "聊一个新需求",
+    "聊聊新需求",
+    "有个新需求",
+    "这是个新需求",
+    "这是新需求",
+    "这次是新需求",
+    "现在是新需求",
+    "换个新需求",
+    "换一个新需求",
+    "切到新需求",
+    "切个新需求",
     "另一个需求",
     "换个需求",
     "换一个需求",
+    "新的需求",
     "不是这个需求",
     "不是刚才那个需求",
     "别沿用刚才那版",
@@ -186,6 +199,17 @@ REQUIREMENT_TOPIC_SWITCH_NEW_HINTS = (
     "另起一个需求",
     "重新开一个需求",
     "单开一个需求",
+    "跟上一个无关",
+    "和上一个无关",
+    "不是延续刚才那个",
+    "不是接着刚才那个",
+)
+REQUIREMENT_TOPIC_SWITCH_NEW_PATTERNS = (
+    re.compile(r"(?:聊|说|讨论|讲).{0,6}(?:个|一个)?新需求", re.IGNORECASE),
+    re.compile(r"(?:这是|这次是|现在是|我有|这边有|还有|另外有).{0,8}(?:个|一个)?新需求", re.IGNORECASE),
+    re.compile(r"(?:切|换|转).{0,4}(?:到|个|一个)?(?:新需求|新的需求|新话题|newtopic|topic)", re.IGNORECASE),
+    re.compile(r"(?:另起|单开|重新开|新开|开个新|拉个新|起个新).{0,6}(?:需求|话题|topic)", re.IGNORECASE),
+    re.compile(r"(?:跟上一个无关|和上一个无关|不是延续刚才那个|不是接着刚才那个)", re.IGNORECASE),
 )
 CORRECTION_ESCALATION_HINTS = (
     "重新回答",

backend/app/services/ai_pmo/workflow_semantic_planner/service.py

@@ -65,6 +65,7 @@ from .constants import (
     QUESTION_HINTS,
     REQUIREMENT_PLAN_CHAT_HINTS,
     REQUIREMENT_TOPIC_SWITCH_NEW_HINTS,
+    REQUIREMENT_TOPIC_SWITCH_NEW_PATTERNS,
     REPLY_MODE_CARD,
     REPLY_MODE_TEXT,
     ROUTE_FOLLOWUP_CONFIRM,
@@ -254,6 +255,8 @@ class WorkflowSemanticPlanner:
             return False
         if any(token in normalized for token in REQUIREMENT_TOPIC_SWITCH_NEW_HINTS):
             return True
+        if any(pattern.search(str(text or "")) for pattern in REQUIREMENT_TOPIC_SWITCH_NEW_PATTERNS):
+            return True
         if "现在是" in normalized and any(token in normalized for token in ("另一个需求", "新的需求", "新话题")):
             return True
         if "不对" in normalized and any(token in normalized for token in ("另一个需求", "不是这个需求", "别沿用", "不要沿用")):
@@ -272,7 +275,7 @@ class WorkflowSemanticPlanner:
         ):
             return False
         slot_hits = 0
-        slot_hits += int(any(token in normalized for token in ("技术指标", "均线", "成交量", "涨跌比", "macd", "rsi", "规则", "自动化")))
+        slot_hits += int(any(token in normalized for token in ("技术指标", "均线", "成交量", "涨跌比", "macd", "rsi", "规则")))
         slot_hits += int(any(token in normalized for token in ("情绪", "涨停家数", "北向", "北向资金", "舆情", "热度")))
         slot_hits += int(
             any(
@@ -299,7 +302,7 @@ class WorkflowSemanticPlanner:
         slot_hits += int(any(token in normalized for token in ("第一版", "先保留", "先只做", "别做太重", "先做成", "先按")))
         has_planning_prefix = any(
             token in normalized
-            for token in ("先按", "主要给", "先给", "先做成", "第一版", "先保留")
+            for token in ("先按", "主要给", "先给", "先做成", "先保留")
         )
         has_generic_target_user_shape = any(
             token in normalized
@@ -310,6 +313,8 @@ class WorkflowSemanticPlanner:
             for token in ("会后", "半小时", "当天内", "整理出来", "整理出", "产出")
         )
         compact_length = len(normalized)
+        if cls._looks_like_requirement_plan_chat(text) and slot_hits <= 1 and not has_generic_target_user_shape and not has_generic_cadence_shape:
+            return False
         return (
             slot_hits >= 2
             or (has_planning_prefix and slot_hits >= 1)
@@ -465,6 +470,8 @@ class WorkflowSemanticPlanner:
             return True
         if any(token in normalized for token in PROJECT_CREATE_DEFERRED_CONFIRM_HINTS):
             return True
+        if cls._looks_like_requirement_plan_chat(text):
+            return True
         if cls._looks_like_requirement_plan_slot_answer(text):
             return True
         return cls._looks_like_assignee_recommendation(text)

backend/tests/test_ai_pmo_ingress_mainline.py

@@ -1949,6 +1949,114 @@ async def test_execute_query_intent_explicit_new_requirement_topic_suspends_prev
     assert rows[1].plan_status == "collecting"
 
 
+@pytest.mark.asyncio
+async def test_execute_query_intent_low_overlap_requirement_seed_switches_new_topic(
+    monkeypatch,
+    requirement_plan_db_session,
+) -> None:
+    class FakeAdaptiveRAGService:
+        def __init__(self, db, tenant_id: int):
+            _ = (db, tenant_id)
+
+        async def answer_question(self, **kwargs):
+            _ = kwargs
+            raise AssertionError("low-overlap requirement switching should not enter heavy RAG path")
+
+    class FakeExecutor(mixin_execute_query_project.ExecuteQueryProjectMixin):
+        def __init__(self) -> None:
+            self.db = requirement_plan_db_session
+            self.tenant_id = 3
+
+    monkeypatch.setattr(mixin_execute_query_project, "AdaptiveRAGService", FakeAdaptiveRAGService)
+    executor = FakeExecutor()
+
+    current_topic = MountedTopicWorkspace(
+        tenant_id=3,
+        topic_key="feishu:chat-plan-overlap:root:msg-plan-overlap-root",
+        source_system="feishu",
+        channel_ref="chat-plan-overlap",
+        conversation_scope_key=build_feishu_conversation_scope_key(
+            source_chat_id="chat-plan-overlap",
+            source_sender_open_id="ou-plan-overlap",
+            sender=None,
+        ),
+        root_message_id="msg-plan-overlap-root",
+        mode="plan",
+        status="active",
+        plan_status="awaiting_execute_confirm",
+        facts_json={
+            "title": "每日 A 股趋势打分工具",
+            "target_user": "投顾",
+            "scoring_basis": "技术指标（均线、成交量、涨跌比等）",
+            "output_form": "飞书日报",
+        },
+        goals_json=["每天产出一个可解释的 A 股趋势分数，辅助判断和记录。"],
+        constraints_json={"first_scope": "先保留一个分数、方向判断和一句解释"},
+        pending_actions=["confirm_requirement_draft"],
+        metadata_json={"plan_mode": True},
+    )
+    requirement_plan_db_session.add(current_topic)
+    await requirement_plan_db_session.flush()
+    requirement_plan_db_session.add(
+        MountedDraftWorkspace(
+            tenant_id=3,
+            topic_workspace_id=int(current_topic.id),
+            state="ready",
+            draft_version=1,
+            requirement_card={
+                "title": "每日 A 股趋势打分工具",
+                "goal": "每天产出一个可解释的 A 股趋势分数，辅助判断和记录。",
+                "target_user": "投顾",
+                "scoring_basis": "技术指标（均线、成交量、涨跌比等）",
+                "output_form": "飞书日报",
+                "cadence": "每日",
+                "first_scope": "先保留一个分数、方向判断和一句解释",
+                "plan_profile": "scoring",
+            },
+            draft_payload={"title": "每日 A 股趋势打分工具"},
+            required_confirmations=["需求草稿需要人工确认后才允许正式创建"],
+        )
+    )
+    await requirement_plan_db_session.flush()
+
+    implicit_switch_intent = SimpleNamespace(
+        project_id=None,
+        metadata={
+            "source_chat_id": "chat-plan-overlap",
+            "source_sender_open_id": "ou-plan-overlap",
+            "semantic_bundle": {
+                "diagnostics": {
+                    "message_intent": "requirement_plan",
+                    "consultant_mode_preference": "clarify",
+                }
+            },
+        },
+    )
+
+    switch_result = await executor._execute_query_intent(
+        intent=implicit_switch_intent,
+        message_text="想跟你聊需求，关于批量自动化部署openclaw，先不创建，先收第一版。",
+        operator_user_id=999,
+        source_system="feishu",
+        source_message_id="msg-plan-overlap-new",
+    )
+
+    rows = (
+        await requirement_plan_db_session.execute(
+            select(MountedTopicWorkspace)
+            .where(MountedTopicWorkspace.tenant_id == 3)
+            .order_by(MountedTopicWorkspace.id.asc())
+        )
+    ).scalars().all()
+
+    assert len(rows) == 2
+    assert "每日 A 股趋势打分工具" not in str(switch_result["answer"] or "")
+    assert rows[0].status == "suspended"
+    assert rows[0].plan_status == "suspended"
+    assert rows[1].status == "active"
+    assert rows[1].plan_status == "collecting"
+
+
 @pytest.mark.asyncio
 async def test_execute_query_intent_requirement_plan_accepts_fragmented_short_answers_and_only_drafts_when_scope_arrives(
     monkeypatch,

backend/tests/test_workflow_semantic_planner.py

@@ -129,6 +129,18 @@ def test_workflow_semantic_planner_marks_explicit_new_requirement_topic_switch()
     assert bundle.diagnostics["topic_switch"] == "new"
 
 
+def test_workflow_semantic_planner_marks_chatty_new_requirement_phrase_as_topic_switch() -> None:
+    bundle = WorkflowSemanticPlanner.plan_message(
+        message_text="想跟你聊个新需求关于批量自动化部署openclaw的",
+        source_system="feishu",
+    )
+
+    assert bundle.primary_workflow == "query_flow"
+    assert bundle.workflows[0].metadata["message_intent"] == "requirement_plan"
+    assert bundle.workflows[0].metadata["topic_switch"] == "new"
+    assert bundle.diagnostics["topic_switch"] == "new"
+
+
 def test_workflow_semantic_planner_routes_assignee_recommendation_back_to_query_flow() -> None:
     bundle = WorkflowSemanticPlanner.plan_message(
         message_text="那你觉得分配给谁做比较合适？",