分析 world model 并行查询

CLAUDE.md

@@ -39,6 +39,8 @@ backend/
 │   ├── config/                # 配置与 prompt
 │   └── utils/                 # 工具函数
 ├── alembic/                   # 数据库迁移
+│   └── versions/
+│       └── 20260310_add_feishu_outbox_reply_hash.py  # 飞书 outbox 回执哈希幂等字段
 ├── requirements.txt           # Python 依赖
 ├── Dockerfile
 └── tests/
@@ -129,6 +131,7 @@ uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
 - 禁止在 API 层写业务逻辑，业务逻辑归属 `services/`
 - 禁止在前端组件内直接调用 `fetch`，必须通过 `frontend/src/api/` 封装层
 - 前端状态管理：服务端数据用 React Query，本地 UI 状态用 `useState`
+- 飞书回执发送仅允许 `main.py` 的 drain_loop 作为消费者，禁止在业务路径即时派发 outbox 发送任务
 
 ## 9. 新增代码的参考模式
 - 新增后端接口：参考 `backend/app/api/sstc.py` 的结构
@@ -139,6 +142,7 @@ uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
 ## 10. 幂等与事务约束
 - 所有入站事件必须经过 `ingest_events` 幂等去重
 - 飞书回复必须经过 `feishu_reply_outbox`，禁止同步直接发送
+- 飞书回复发送幂等：`reply_hash = MD5(source_message_id + reply_text)`，同租户下 `status=sent` 的相同哈希不得重复发送
 - 跨表写操作必须在同一个数据库事务内完成
 
 ## 11. 已知 BOUNDARY（不要幻构行为）

backend/alembic/versions/20260310_add_feishu_outbox_reply_hash.py

@@ -0,0 +1,111 @@
+"""add feishu outbox reply hash
+
+Revision ID: add_feishu_outbox_reply_hash
+Revises: add_ai_pmo_simulation_field
+Create Date: 2026-03-10
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = "add_feishu_outbox_reply_hash"
+down_revision = "add_ai_pmo_simulation_field"
+branch_labels = None
+depends_on = None
+
+
+def _table_exists(bind, table_name: str) -> bool:
+    return sa.inspect(bind).has_table(table_name)
+
+
+def _column_exists(bind, table_name: str, column_name: str) -> bool:
+    inspector = sa.inspect(bind)
+    if not inspector.has_table(table_name):
+        return False
+    return any(col.get("name") == column_name for col in inspector.get_columns(table_name))
+
+
+def _index_exists(bind, table_name: str, index_name: str) -> bool:
+    inspector = sa.inspect(bind)
+    if not inspector.has_table(table_name):
+        return False
+    return any(idx.get("name") == index_name for idx in inspector.get_indexes(table_name))
+
+
+def _create_index_if_not_exists(
+    bind,
+    *,
+    index_name: str,
+    table_name: str,
+    columns: list[str],
+    unique: bool = False,
+    postgresql_where: Any = None,
+    sqlite_where: Any = None,
+) -> None:
+    if _index_exists(bind, table_name, index_name):
+        return
+    kwargs: dict[str, Any] = {}
+    if postgresql_where is not None:
+        kwargs["postgresql_where"] = postgresql_where
+    if sqlite_where is not None:
+        kwargs["sqlite_where"] = sqlite_where
+    op.create_index(index_name, table_name, columns, unique=unique, **kwargs)
+
+
+def _drop_index_if_exists(bind, table_name: str, index_name: str) -> None:
+    if _index_exists(bind, table_name, index_name):
+        op.drop_index(index_name, table_name=table_name)
+
+
+def upgrade() -> None:
+    bind = op.get_bind()
+    if not _table_exists(bind, "feishu_reply_outbox"):
+        return
+
+    if not _column_exists(bind, "feishu_reply_outbox", "source_message_id"):
+        op.add_column("feishu_reply_outbox", sa.Column("source_message_id", sa.String(length=128), nullable=True))
+    if not _column_exists(bind, "feishu_reply_outbox", "reply_hash"):
+        op.add_column("feishu_reply_outbox", sa.Column("reply_hash", sa.String(length=32), nullable=True))
+
+    _create_index_if_not_exists(
+        bind,
+        index_name="ix_feishu_reply_outbox_source_message_id",
+        table_name="feishu_reply_outbox",
+        columns=["source_message_id"],
+    )
+    _create_index_if_not_exists(
+        bind,
+        index_name="ix_feishu_reply_outbox_reply_hash",
+        table_name="feishu_reply_outbox",
+        columns=["reply_hash"],
+    )
+    sent_where = sa.text("status = 'sent' AND reply_hash IS NOT NULL")
+    _create_index_if_not_exists(
+        bind,
+        index_name="uq_feishu_reply_outbox_sent_reply_hash",
+        table_name="feishu_reply_outbox",
+        columns=["tenant_id", "reply_hash"],
+        unique=True,
+        postgresql_where=sent_where,
+        sqlite_where=sent_where,
+    )
+
+
+def downgrade() -> None:
+    bind = op.get_bind()
+    if not _table_exists(bind, "feishu_reply_outbox"):
+        return
+
+    _drop_index_if_exists(bind, "feishu_reply_outbox", "uq_feishu_reply_outbox_sent_reply_hash")
+    _drop_index_if_exists(bind, "feishu_reply_outbox", "ix_feishu_reply_outbox_reply_hash")
+    _drop_index_if_exists(bind, "feishu_reply_outbox", "ix_feishu_reply_outbox_source_message_id")
+
+    if _column_exists(bind, "feishu_reply_outbox", "reply_hash"):
+        op.drop_column("feishu_reply_outbox", "reply_hash")
+    if _column_exists(bind, "feishu_reply_outbox", "source_message_id"):
+        op.drop_column("feishu_reply_outbox", "source_message_id")

backend/app/config/ai_prompts.py

@@ -205,6 +205,31 @@ PROMPT_FEISHU_REQUIREMENT_ANALYSIS = """
 """
 
 
+PROMPT_FEISHU_HUMANIZED_REPLY = """
+直接回答用户问题，不要做自我介绍。
+
+你将基于以下上下文生成一条 35-140 字中文回复：
+- 当前系统时间（北京时间）：{now_cn_text}
+- 提及用户：{sender_name}
+- 用户消息：{user_message}
+- 系统处理状态：{status}
+- 分类结果：{classification}
+- 处理原因：{reason}
+- 处理追踪ID：{ai_trace_id}
+- 关联项目ID：{linked_projects_text}
+
+硬性规则：
+1. 首句必须直接回答“用户消息”的核心问题，禁止先讲系统身份或接入方式。
+2. 禁止默认输出“我是...”“我可以...”“我现在通过...接入...”这类自我介绍句式。
+3. 仅当用户明确询问“你是谁/你能做什么/系统能力”时，才允许用一句话说明能力边界。
+4. 若信息不足，请明确缺失信息并给出 1-3 条可执行下一步。
+5. 如果用户询问日期/时间/星期，必须基于“当前系统时间（北京时间）”直接回答，不得编造。
+6. 不要输出 Markdown，不要输出 JSON。
+
+只输出最终回复正文。
+""".strip()
+
+
 PROMPT_FEISHU_PROJECT_SIGNAL_CLASSIFICATION = """
 你是 PMFlow 的项目需求信号分流器。
 请基于“项目列表上下文”和“飞书消息”，判断该消息是否为有效需求信号，并识别它属于哪个已有项目。

backend/app/main.py

@@ -4,23 +4,26 @@ from __future__ import annotations
 
 import asyncio
 import os
-from contextlib import asynccontextmanager
+from contextlib import asynccontextmanager, suppress
+from datetime import datetime, timedelta, timezone
 
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 import sqlalchemy as sa
+from sqlalchemy.exc import OperationalError, ProgrammingError
 
 from .api.router import api_router
 from .core.config import settings
 from .core.logging import configure_logging, get_logger
 from .core.response import success_response
 from .database import AsyncSessionLocal, engine
-from .models import Base
+from .models import Base, Project, WorkItem
 from .services.scheduler_center import WorkloadRecalcScheduler
 from .services.scheduler_center import KnowledgeUrlRefreshScheduler
 from .services.scheduler_center import KnowledgeGraphIncrementalScheduler
 from .services.scheduler_center import AIPMOCadenceScheduler
 from .services.ai_orchestration_run_service import AIOrchestrationRunService
+from .services.ai_pmo_kernel_service import AIPMOKernelService
 from .services.skill_service import init_system_skill_tags
 from .services.feishu_long_connection import init_feishu_long_connection_manager
 from .services.feishu_integration import dispatch_pending_feishu_replies
@@ -30,6 +33,17 @@ configure_logging(settings.debug)
 logger = get_logger(__name__)
 register_context_cache_invalidation_hooks()
 
+ACTIVE_PROJECT_STATUSES = ("active", "planning", "todo", "doing")
+
+
+def _is_missing_table_error(exc: Exception) -> bool:
+    text = str(exc).lower()
+    return (
+        "no such table" in text
+        or "undefined table" in text
+        or "relation" in text and "does not exist" in text
+    )
+
 
 def _sqlite_backfill_columns(sync_conn) -> None:
     """为历史 SQLite 库补齐新增列，避免运行时 500。"""
@@ -78,6 +92,8 @@ def _sqlite_backfill_columns(sync_conn) -> None:
     _add_column("ai_processing_logs", "operation_code", "VARCHAR(80)")
     _add_column("ai_processing_logs", "operation_result", "JSON")
     _add_column("ai_processing_logs", "reply_source", "VARCHAR(40)")
+    _add_column("feishu_reply_outbox", "source_message_id", "VARCHAR(128)")
+    _add_column("feishu_reply_outbox", "reply_hash", "VARCHAR(32)")
 
 
 def _normalize_dialect(value: str) -> str:
@@ -165,8 +181,10 @@ def _ensure_feishu_integrity_guards(sync_conn) -> None:
         sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now()),
         sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now(), onupdate=sa.func.now()),
         sa.Column("trace_id", sa.String(length=64), nullable=True),
+        sa.Column("source_message_id", sa.String(length=128), nullable=True),
         sa.Column("chat_id", sa.String(length=128), nullable=False),
         sa.Column("message_text", sa.Text(), nullable=False),
+        sa.Column("reply_hash", sa.String(length=32), nullable=True),
         sa.Column("status", sa.String(length=20), nullable=False, server_default=sa.text("'pending'")),
         sa.Column("attempts", sa.Integer(), nullable=False, server_default=sa.text("0")),
         sa.Column("next_retry_at", sa.TIMESTAMP(), nullable=True),
@@ -174,21 +192,37 @@ def _ensure_feishu_integrity_guards(sync_conn) -> None:
         sa.Column("last_error", sa.Text(), nullable=True),
     )
     outbox_table.create(sync_conn, checkfirst=True)
+    outbox_columns = {col["name"] for col in sa.inspect(sync_conn).get_columns("feishu_reply_outbox")}
+    if "source_message_id" not in outbox_columns:
+        sync_conn.exec_driver_sql("ALTER TABLE feishu_reply_outbox ADD COLUMN source_message_id VARCHAR(128)")
+    if "reply_hash" not in outbox_columns:
+        sync_conn.exec_driver_sql("ALTER TABLE feishu_reply_outbox ADD COLUMN reply_hash VARCHAR(32)")
     sync_conn.exec_driver_sql(
         "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_tenant_id ON feishu_reply_outbox (tenant_id)"
     )
     sync_conn.exec_driver_sql(
         "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_trace_id ON feishu_reply_outbox (trace_id)"
     )
+    sync_conn.exec_driver_sql(
+        "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_source_message_id ON feishu_reply_outbox (source_message_id)"
+    )
     sync_conn.exec_driver_sql(
         "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_chat_id ON feishu_reply_outbox (chat_id)"
     )
+    sync_conn.exec_driver_sql(
+        "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_reply_hash ON feishu_reply_outbox (reply_hash)"
+    )
     sync_conn.exec_driver_sql(
         "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_status ON feishu_reply_outbox (status)"
     )
     sync_conn.exec_driver_sql(
         "CREATE INDEX IF NOT EXISTS ix_feishu_reply_outbox_next_retry_at ON feishu_reply_outbox (next_retry_at)"
     )
+    sync_conn.exec_driver_sql(
+        "CREATE UNIQUE INDEX IF NOT EXISTS uq_feishu_reply_outbox_sent_reply_hash "
+        "ON feishu_reply_outbox (tenant_id, reply_hash) "
+        "WHERE status = 'sent' AND reply_hash IS NOT NULL"
+    )
 
     inspector = sa.inspect(sync_conn)
     if not inspector.has_table("feishu_items"):
@@ -311,7 +345,11 @@ def _ensure_feishu_integrity_guards(sync_conn) -> None:
     )
 
 
-async def _feishu_outbox_drain_loop() -> None:
+def _is_postgresql_runtime() -> bool:
+    return _normalize_dialect(engine.dialect.name) == "postgresql"
+
+
+async def _feishu_outbox_polling_loop() -> None:
     while True:
         try:
             dispatched = await dispatch_pending_feishu_replies(limit=50)
@@ -323,6 +361,161 @@ async def _feishu_outbox_drain_loop() -> None:
             await asyncio.sleep(2.0)
 
 
+async def _feishu_outbox_listen_loop() -> None:
+    while True:
+        listener_callback = None
+        driver_connection = None
+        try:
+            async with engine.connect() as conn:
+                await conn.execute(sa.text("LISTEN feishu_outbox_ready"))
+                await conn.commit()
+                raw_conn = await conn.get_raw_connection()
+                driver_connection = getattr(raw_conn, "driver_connection", None)
+                if driver_connection is None or not hasattr(driver_connection, "add_listener"):
+                    logger.warning("feishu_outbox_listen_unsupported_driver", driver=str(type(driver_connection)))
+                    await _feishu_outbox_polling_loop()
+                    return
+
+                notify_queue: asyncio.Queue[str] = asyncio.Queue(maxsize=1024)
+
+                def _on_notify(_connection, _pid, _channel, payload) -> None:
+                    try:
+                        notify_queue.put_nowait(str(payload or ""))
+                    except asyncio.QueueFull:
+                        pass
+
+                listener_callback = _on_notify
+                await driver_connection.add_listener("feishu_outbox_ready", listener_callback)
+                logger.info("feishu_outbox_listen_ready")
+
+                while True:
+                    dispatched = await dispatch_pending_feishu_replies(limit=50)
+                    if dispatched > 0:
+                        continue
+                    try:
+                        await asyncio.wait_for(notify_queue.get(), timeout=2.0)
+                        while not notify_queue.empty():
+                            notify_queue.get_nowait()
+                    except asyncio.TimeoutError:
+                        continue
+        except asyncio.CancelledError:
+            break
+        except Exception as exc:
+            logger.warning("feishu_outbox_listen_failed", error=str(exc))
+            await asyncio.sleep(2.0)
+        finally:
+            if driver_connection is not None and listener_callback is not None:
+                with suppress(Exception):
+                    await driver_connection.remove_listener("feishu_outbox_ready", listener_callback)
+
+
+async def _feishu_outbox_drain_loop() -> None:
+    if _is_postgresql_runtime():
+        await _feishu_outbox_listen_loop()
+        return
+    await _feishu_outbox_polling_loop()
+
+
+async def _get_recent_active_projects(
+    *,
+    days: int,
+    limit_per_tenant: int,
+    max_projects: int,
+) -> list[tuple[int, int]]:
+    since = (datetime.now(timezone.utc) - timedelta(days=max(1, int(days)))).replace(tzinfo=None)
+    per_tenant_limit = max(1, int(limit_per_tenant))
+    total_limit = max(per_tenant_limit, int(max_projects))
+
+    async with AsyncSessionLocal() as db:
+        try:
+            rows = (
+                await db.execute(
+                    sa.select(
+                        WorkItem.tenant_id.label("tenant_id"),
+                        WorkItem.project_id.label("project_id"),
+                        sa.func.max(WorkItem.created_at).label("last_seen_at"),
+                    )
+                    .join(
+                        Project,
+                        sa.and_(
+                            Project.tenant_id == WorkItem.tenant_id,
+                            Project.id == WorkItem.project_id,
+                        ),
+                    )
+                    .where(
+                        sa.and_(
+                            WorkItem.project_id.is_not(None),
+                            WorkItem.created_at >= since,
+                            Project.status.in_(ACTIVE_PROJECT_STATUSES),
+                        )
+                    )
+                    .group_by(WorkItem.tenant_id, WorkItem.project_id)
+                )
+            ).all()
+        except (OperationalError, ProgrammingError) as exc:
+            if not _is_missing_table_error(exc):
+                raise
+            logger.warning("[WM_WARMUP] 活跃项目查询跳过", reason="missing_table", error=str(exc))
+            return []
+
+    bucket: dict[int, list[tuple[datetime, int]]] = {}
+    for row in rows:
+        tenant_id = int(getattr(row, "tenant_id"))
+        project_id = int(getattr(row, "project_id"))
+        last_seen = getattr(row, "last_seen_at")
+        last_seen_at = last_seen if isinstance(last_seen, datetime) else datetime.min
+        bucket.setdefault(tenant_id, []).append((last_seen_at, project_id))
+
+    picked: list[tuple[datetime, int, int]] = []
+    for tenant_id, entries in bucket.items():
+        entries.sort(key=lambda item: item[0], reverse=True)
+        for last_seen_at, project_id in entries[:per_tenant_limit]:
+            picked.append((last_seen_at, tenant_id, project_id))
+
+    picked.sort(key=lambda item: item[0], reverse=True)
+    return [(tenant_id, project_id) for _, tenant_id, project_id in picked[:total_limit]]
+
+
+async def _warmup_world_models() -> None:
+    days = max(1, int(os.getenv("WORLD_MODEL_WARMUP_DAYS", "7")))
+    limit_per_tenant = max(1, int(os.getenv("WORLD_MODEL_WARMUP_LIMIT_PER_TENANT", "5")))
+    max_projects = max(limit_per_tenant, int(os.getenv("WORLD_MODEL_WARMUP_MAX_PROJECTS", "50")))
+    try:
+        active_projects = await _get_recent_active_projects(
+            days=days,
+            limit_per_tenant=limit_per_tenant,
+            max_projects=max_projects,
+        )
+        warmed = 0
+        for tenant_id, project_id in active_projects:
+            try:
+                async with AsyncSessionLocal() as db:
+                    kernel = AIPMOKernelService(db, tenant_id=int(tenant_id))
+                    await kernel.build_world_model(
+                        tenant_id=int(tenant_id),
+                        project_id=int(project_id),
+                        sender="wm_warmup",
+                    )
+                warmed += 1
+            except Exception as exc:
+                logger.warning(
+                    "[WM_WARMUP] 项目预热失败",
+                    tenant_id=tenant_id,
+                    project_id=project_id,
+                    error=str(exc),
+                )
+        logger.info(
+            "[WM_WARMUP] 预热完成",
+            count=warmed,
+            total=len(active_projects),
+            days=days,
+            limit_per_tenant=limit_per_tenant,
+            max_projects=max_projects,
+        )
+    except Exception as exc:
+        logger.warning("[WM_WARMUP] 预热失败", error=str(exc))
+
+
 @asynccontextmanager
 async def lifespan(_: FastAPI):
     """应用生命周期：初始化表与系统技能标签。"""
@@ -367,6 +560,10 @@ async def lifespan(_: FastAPI):
         _feishu_outbox_drain_loop(),
         name="feishu-outbox-drain-loop",
     )
+    wm_warmup_task = asyncio.create_task(
+        _warmup_world_models(),
+        name="wm-world-model-warmup",
+    )
 
     yield
     outbox_task.cancel()
@@ -374,6 +571,10 @@ async def lifespan(_: FastAPI):
         await outbox_task
     except asyncio.CancelledError:
         pass
+    if not wm_warmup_task.done():
+        wm_warmup_task.cancel()
+        with suppress(asyncio.CancelledError):
+            await wm_warmup_task
     await feishu_lc.stop()
     await ai_pmo_cadence_scheduler.stop()
     await kg_scheduler.stop()

backend/app/models/feishu_reply_outbox.py

@@ -15,8 +15,10 @@ class FeishuReplyOutbox(Base):
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
     trace_id: Mapped[Optional[str]] = mapped_column(VARCHAR(64), nullable=True, index=True)
+    source_message_id: Mapped[Optional[str]] = mapped_column(VARCHAR(128), nullable=True, index=True)
     chat_id: Mapped[str] = mapped_column(VARCHAR(128), nullable=False, index=True)
     message_text: Mapped[str] = mapped_column(TEXT, nullable=False)
+    reply_hash: Mapped[Optional[str]] = mapped_column(VARCHAR(32), nullable=True, index=True)
     status: Mapped[str] = mapped_column(VARCHAR(20), nullable=False, default="pending", index=True)
     attempts: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
     next_retry_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP, nullable=True, index=True)

backend/app/services/ai_pmo_kernel_service.py

@@ -92,7 +92,30 @@ RECEIPT_PHASE_ACTION = "action_applied"
 RECEIPT_PHASE_PENDING = "pending_manual"
 RECEIPT_PHASE_ERROR = "error"
 
-QUESTION_HINTS = ("?", "？", "怎么", "为何", "为什么", "什么", "多少", "是否", "帮我看", "状态")
+QUESTION_HINTS = (
+    "?",
+    "？",
+    "怎么",
+    "如何",
+    "为何",
+    "为什么",
+    "什么",
+    "是什么",
+    "哪些",
+    "有哪些",
+    "特点",
+    "技术特点",
+    "能力",
+    "介绍",
+    "说明",
+    "多少",
+    "是否",
+    "帮我看",
+    "状态",
+    "风险",
+    "能做什么",
+    "可以做什么",
+)
 SMALLTALK_EXACT = {
     "收到",
     "收到啦",
@@ -161,6 +184,27 @@ class CanonicalIntent:
 class IntentResolver:
     """把输入收口为 canonical intent。"""
 
+    OPERATION_VERBS = (
+        "新增",
+        "增加",
+        "加一个",
+        "加个",
+        "新建",
+        "创建",
+        "建立",
+        "立项",
+        "接入",
+        "修复",
+        "优化",
+        "改成",
+        "改为",
+        "更新",
+        "分配",
+        "指派",
+        "归档",
+        "执行",
+    )
+
     @staticmethod
     def resolve(*, text: str, project_id: Optional[int]) -> CanonicalIntent:
         normalized = re.sub(r"\s+", "", str(text or "")).lower()
@@ -191,7 +235,7 @@ class IntentResolver:
                 pretty[:300],
                 {},
             )
-        if any(token in pretty for token in QUESTION_HINTS):
+        if IntentResolver._looks_like_query(text=pretty):
             return CanonicalIntent(
                 INTENT_QUERY,
                 0.88,
@@ -210,14 +254,31 @@ class IntentResolver:
                 {},
             )
         return CanonicalIntent(
-            INTENT_SIGNAL_CREATE,
+            INTENT_QUERY,
-            0.65,
+            0.6,
             project_id,
-            IntentResolver._build_signal_title(pretty, default="新信号"),
+            "",
             pretty[:300],
-            {"fallback": True},
+            {"fallback": True, "reason": "default_query_fallback"},
         )
 
+    @staticmethod
+    def _looks_like_query(*, text: str) -> bool:
+        normalized = re.sub(r"\s+", "", str(text or "")).lower()
+        if not normalized:
+            return False
+        if any(token in normalized for token in QUESTION_HINTS):
+            return True
+        has_question_structure = (
+            "?" in normalized
+            or "？" in normalized
+            or any(token in normalized for token in ("吗", "呢", "吧", "是否", "是不是"))
+        )
+        if not has_question_structure:
+            return False
+        has_operation = any(token in normalized for token in IntentResolver.OPERATION_VERBS)
+        return not has_operation
+
     @staticmethod
     def _build_signal_title(text: str, *, default: str) -> str:
         cleaned = re.sub(r"\s+", " ", str(text or "")).strip(" ，,:：")

backend/app/services/feishu_integration.py

@@ -21,7 +21,8 @@ from uuid import uuid4
 from datetime import datetime, timedelta, timezone
 from typing import Any, Dict, List, Optional
 import httpx
-from sqlalchemy import and_, or_
+from sqlalchemy import and_, or_, text, update
+from sqlalchemy.exc import IntegrityError
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy.future import select
 
@@ -35,10 +36,10 @@ from ..models import (
     AIProcessingLog,
 )
 from ..database import AsyncSessionLocal
+from ..config.ai_prompts import PROMPT_FEISHU_HUMANIZED_REPLY
 from .notification_service import NotificationService
 from .signal_capture import ProactiveSignalCaptureService
 from .llm import LLMService
-from .prompt_profile_service import prompt_profile_service
 
 CN_TZ = timezone(timedelta(hours=8))
 WEEKDAY_CN = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
@@ -64,6 +65,29 @@ class FeishuIntegrationService:
     def _normalize_event_mode(_: Optional[str] = None) -> str:
         return "long_connection"
 
+    @staticmethod
+    def _is_postgresql_session(db: AsyncSession) -> bool:
+        try:
+            bind = db.get_bind()
+        except Exception:
+            return False
+        dialect_name = str(getattr(getattr(bind, "dialect", None), "name", "")).lower()
+        return dialect_name.startswith("postgres")
+
+    @staticmethod
+    async def _notify_outbox_ready(db: AsyncSession, *, outbox_id: Optional[int]) -> None:
+        """仅在 PostgreSQL 下发送 outbox ready 事件。"""
+        if not FeishuIntegrationService._is_postgresql_session(db):
+            return
+        try:
+            payload = str(int(outbox_id))[:64] if outbox_id is not None else ""
+            await db.execute(
+                text("SELECT pg_notify('feishu_outbox_ready', :payload)"),
+                {"payload": payload},
+            )
+        except Exception as exc:
+            print(f"[Feishu] outbox notify failed: outbox_id={outbox_id}, error={exc}")
+
     async def load_config(self, tenant_id: int = 1):
         """从数据库加载飞书配置"""
         self.tenant_id = tenant_id
@@ -229,6 +253,7 @@ class FeishuIntegrationService:
                     mention_name=(sender.get('sender_name') or sender.get('name') or '你'),
                     text="我已收到你的消息，但目前无法直接解析纯图片内容。请补充 1-2 句文字需求，我会立即给出分派建议。",
                     trace_id=state_trace_id,
+                    source_message_id=message_id,
                 )
                 self._emit_state_transition(
                     trace_id=state_trace_id,
@@ -292,6 +317,7 @@ class FeishuIntegrationService:
                     mention_name=sender_name,
                     text=self._build_error_reply_text(),
                     trace_id=state_trace_id,
+                    source_message_id=message_id,
                 )
                 self._emit_state_transition(
                     trace_id=state_trace_id,
@@ -374,6 +400,7 @@ class FeishuIntegrationService:
                         mention_name=sender_name,
                         text=deterministic_reply,
                         trace_id=state_trace_id,
+                        source_message_id=message_id,
                     )
                     reply_route = "execute_template"
         elif scene == "qa":
@@ -389,6 +416,7 @@ class FeishuIntegrationService:
                     mention_name=sender_name,
                     text=str(result.get("direct_reply_text") or "已收到，正在处理。"),
                     trace_id=state_trace_id,
+                    source_message_id=message_id,
                 )
                 reply_route = "qa_direct"
             elif (
@@ -405,6 +433,7 @@ class FeishuIntegrationService:
                     message_content=message_content,
                     capture_result=result,
                     trace_id=state_trace_id,
+                    source_message_id=message_id,
                 )
                 reply_route = "qa_llm"
         else:
@@ -421,6 +450,7 @@ class FeishuIntegrationService:
                     mention_name=sender_name,
                     text=self._build_error_reply_text(),
                     trace_id=state_trace_id,
+                    source_message_id=message_id,
                 )
                 reply_route = "error_template"
 
@@ -558,6 +588,7 @@ class FeishuIntegrationService:
         message_content: str,
         capture_result: Dict[str, Any],
         trace_id: Optional[str] = None,
+        source_message_id: Optional[str] = None,
     ) -> None:
         """被 @ 时回复一条有人味的执行反馈。"""
         deterministic_time_reply = self._build_time_truth_reply(message_content)
@@ -568,6 +599,7 @@ class FeishuIntegrationService:
                 mention_name=sender_name,
                 text=deterministic_time_reply,
                 trace_id=trace_id,
+                source_message_id=source_message_id,
             )
             return
 
@@ -586,6 +618,7 @@ class FeishuIntegrationService:
                 mention_name=sender_name,
                 text=execution_receipt,
                 trace_id=trace_id,
+                source_message_id=source_message_id,
             )
             return
 
@@ -597,20 +630,11 @@ class FeishuIntegrationService:
                 mention_name=sender_name,
                 text=butler_reply,
                 trace_id=trace_id,
+                source_message_id=source_message_id,
             )
             return
 
         try:
-            active_role = await prompt_profile_service.get_active_role(self.db, tenant_id=self.tenant_id)
-            role = active_role.get("role") if isinstance(active_role, dict) else {}
-            role_name = str((role or {}).get("role_name") or "产品经理（任务分派）").strip()
-            system_prompt = str((role or {}).get("system_prompt") or "").strip()
-            if len(system_prompt) < 20:
-                system_prompt = (
-                    "你是 PMFlow 的任务分派产品经理。"
-                    "请用简洁、专业、有温度的中文回复用户，先确认需求，再给可执行下一步。"
-                )
-
             status = str(capture_result.get("status") or "unknown")
             classification = str(capture_result.get("classification") or "unknown")
             reason = str(capture_result.get("reason") or "").strip()
@@ -623,27 +647,16 @@ class FeishuIntegrationService:
                 f"{WEEKDAY_CN[now_cn.weekday()]} {now_cn.strftime('%H:%M:%S')}"
             )
 
-            prompt = f"""
+            prompt = PROMPT_FEISHU_HUMANIZED_REPLY.format(
-{system_prompt}
+                now_cn_text=now_cn_text,
-
+                sender_name=sender_name,
-你正在飞书群里以「{role_name}」身份回复用户。请基于以下上下文，生成一条 35-140 字中文回复：
+                user_message=(message_content or "")[:600],
-- 当前系统时间（北京时间）：{now_cn_text}
+                status=status,
-- 提及用户：{sender_name}
+                classification=classification,
-- 用户消息：{(message_content or '')[:600]}
+                reason=(reason or "无"),
-- 系统处理状态：{status}
+                ai_trace_id=(ai_trace_id or "无"),
-- 分类结果：{classification}
+                linked_projects_text=(linked_projects_text or "无"),
-- 处理原因：{reason or "无"}
+            )
-- 处理追踪ID：{ai_trace_id or "无"}
-- 关联项目ID：{linked_projects_text or '无'}
-
-回复要求：
-1. 语气自然、专业，避免机器口吻。
-2. 先确认你已处理，再给 1-3 条下一步建议。
-3. 若信息不足，请明确要补充什么。
-4. 如果用户询问“日期/今天/时间/几点/星期”，必须基于“当前系统时间（北京时间）”直接回答，不得编造历史日期。
-5. 不要输出 Markdown，不要输出 JSON。
-只输出最终回复正文。
-""".strip()
 
             llm = LLMService()
             raw_reply = await llm.generate(
@@ -655,6 +668,8 @@ class FeishuIntegrationService:
                 max_tokens=180,
             )
             reply_text = self._clean_reply_text(raw_reply)
+            if not self._is_capability_question(message_content):
+                reply_text = self._strip_identity_lead(reply_text)
             if (not reply_text) or self._looks_like_provider_error(reply_text):
                 reply_text = self._fallback_reply_text(capture_result)
         except Exception as exc:
@@ -667,6 +682,7 @@ class FeishuIntegrationService:
             mention_name=sender_name,
             text=reply_text,
             trace_id=trace_id,
+            source_message_id=source_message_id,
         )
 
     async def _safe_reply_text(
@@ -677,6 +693,7 @@ class FeishuIntegrationService:
         mention_open_id: Optional[str] = None,
         mention_name: Optional[str] = None,
         trace_id: Optional[str] = None,
+        source_message_id: Optional[str] = None,
     ) -> None:
         try:
             plain_text = self._normalize_outgoing_reply_text(text)
@@ -685,23 +702,16 @@ class FeishuIntegrationService:
                 display_name=mention_name,
             )
             final_text = f"{mention_prefix}{plain_text}".strip()
-            outbox_id = await self._enqueue_reply_outbox(
+            await self._enqueue_reply_outbox(
                 chat_id=chat_id,
                 message_text=final_text,
                 trace_id=trace_id,
+                source_message_id=source_message_id,
             )
-            asyncio.create_task(self._dispatch_outbox_entry(outbox_id=outbox_id))
         except Exception as exc:
             print(f"[Feishu] enqueue reply outbox failed: chat_id={chat_id}, error={exc}")
-            try:
+            # 统一由 drain_loop 消费 outbox，禁止业务路径直发，避免双发送。
-                plain_text = self._normalize_outgoing_reply_text(text)
+            return
-                mention_prefix = self._build_mention_prefix(
-                    open_id=mention_open_id,
-                    display_name=mention_name,
-                )
-                await self.send_message_to_group(chat_id=chat_id, message=f"{mention_prefix}{plain_text}".strip())
-            except Exception as send_exc:
-                print(f"[Feishu] send fallback failed: chat_id={chat_id}, error={send_exc}")
 
     async def _enqueue_reply_outbox(
         self,
@@ -709,130 +719,90 @@ class FeishuIntegrationService:
         chat_id: str,
         message_text: str,
         trace_id: Optional[str],
+        source_message_id: Optional[str],
     ) -> int:
         async with AsyncSessionLocal() as db:
+            normalized_source_message_id = (source_message_id or "")[:128] or None
+            normalized_message_text = (message_text or "")[:2000] or "已收到，正在处理。"
+            reply_hash = self._build_reply_hash(
+                source_message_id=normalized_source_message_id,
+                message_text=normalized_message_text,
+            )
+            if reply_hash:
+                sent_exists = (
+                    await db.execute(
+                        select(FeishuReplyOutbox.id)
+                        .where(
+                            FeishuReplyOutbox.tenant_id == int(self.tenant_id or 1),
+                            FeishuReplyOutbox.reply_hash == reply_hash,
+                            FeishuReplyOutbox.status == "sent",
+                        )
+                        .limit(1)
+                    )
+                ).scalar_one_or_none()
+                if sent_exists is not None:
+                    return int(sent_exists)
             row = FeishuReplyOutbox(
                 tenant_id=int(self.tenant_id or 1),
                 trace_id=(trace_id or "")[:64] or None,
+                source_message_id=normalized_source_message_id,
                 chat_id=(chat_id or "")[:128],
-                message_text=(message_text or "")[:2000] or "已收到，正在处理。",
+                message_text=normalized_message_text,
+                reply_hash=reply_hash,
                 status="pending",
                 attempts=0,
                 next_retry_at=None,
             )
             db.add(row)
+            try:
+                await db.flush()
+                await self._notify_outbox_ready(db, outbox_id=int(row.id) if row.id is not None else None)
                 await db.commit()
+            except IntegrityError:
+                await db.rollback()
+                if reply_hash:
+                    sent_exists = (
+                        await db.execute(
+                            select(FeishuReplyOutbox.id)
+                            .where(
+                                FeishuReplyOutbox.tenant_id == int(self.tenant_id or 1),
+                                FeishuReplyOutbox.reply_hash == reply_hash,
+                                FeishuReplyOutbox.status == "sent",
+                            )
+                            .limit(1)
+                        )
+                    ).scalar_one_or_none()
+                    if sent_exists is not None:
+                        return int(sent_exists)
+                raise
             await db.refresh(row)
             return int(row.id)
 
-    async def _dispatch_outbox_entry(self, *, outbox_id: int) -> None:
-        await self.__class__._dispatch_outbox_entry_by_id(outbox_id=outbox_id)
-
-    @classmethod
-    async def _dispatch_outbox_entry_by_id(cls, *, outbox_id: int) -> None:
-        for _ in range(OUTBOX_MAX_ATTEMPTS + 1):
-            now = datetime.utcnow()
-            should_wait_seconds = 0.0
-            async with AsyncSessionLocal() as db:
-                row = (
-                    await db.execute(
-                        select(FeishuReplyOutbox).where(
-                            FeishuReplyOutbox.id == int(outbox_id)
-                        )
-                    )
-                ).scalar_one_or_none()
-                if row is None:
-                    return
-                status = str(row.status or "").lower()
-                if status == "sent":
-                    return
-                if status == "failed":
-                    return
-                if status == "sending":
-                    stale_seconds = 0.0
-                    marker = row.updated_at or row.created_at
-                    if isinstance(marker, datetime):
-                        try:
-                            marker_naive = marker.replace(tzinfo=None) if marker.tzinfo else marker
-                            stale_seconds = max(0.0, (now - marker_naive).total_seconds())
-                        except Exception:
-                            stale_seconds = 0.0
-                    if stale_seconds >= OUTBOX_STALE_SENDING_SECONDS:
-                        row.status = "retrying"
-                        row.next_retry_at = now
-                        await db.commit()
-                    else:
-                        return
-                if row.next_retry_at and row.next_retry_at > now:
-                    should_wait_seconds = max(0.2, min(30.0, (row.next_retry_at - now).total_seconds()))
-                else:
-                    row.status = "sending"
-                    row.attempts = int(row.attempts or 0) + 1
-                    row.last_error = None
-                    await db.commit()
-
-            if should_wait_seconds > 0:
-                await asyncio.sleep(should_wait_seconds)
-                continue
-
-            send_error: Optional[str] = None
-            async with AsyncSessionLocal() as db_send:
-                row = (
-                    await db_send.execute(
-                        select(FeishuReplyOutbox).where(
-                            FeishuReplyOutbox.id == int(outbox_id)
-                        )
-                    )
-                ).scalar_one_or_none()
-                if row is None:
-                    return
-                try:
-                    service = FeishuIntegrationService(db_send)
-                    await service.load_config(tenant_id=int(row.tenant_id))
-                    await service.send_message_to_group(
-                        chat_id=str(row.chat_id or ""),
-                        message=str(row.message_text or ""),
-                    )
-                    row.status = "sent"
-                    row.sent_at = datetime.utcnow()
-                    row.next_retry_at = None
-                    row.last_error = None
-                    await db_send.commit()
-                    return
-                except Exception as exc:
-                    send_error = str(exc)
-
-            async with AsyncSessionLocal() as db_retry:
-                row = (
-                    await db_retry.execute(
-                        select(FeishuReplyOutbox).where(
-                            FeishuReplyOutbox.id == int(outbox_id)
-                        )
-                    )
-                ).scalar_one_or_none()
-                if row is None:
-                    return
-                attempts = int(row.attempts or 0)
-                if attempts >= OUTBOX_MAX_ATTEMPTS:
-                    row.status = "failed"
-                    row.next_retry_at = None
-                else:
-                    row.status = "retrying"
-                    delay_seconds = min(30, 2 * (2 ** max(0, attempts - 1)))
-                    row.next_retry_at = datetime.utcnow() + timedelta(seconds=delay_seconds)
-                row.last_error = (send_error or "unknown_send_error")[:1000]
-                await db_retry.commit()
-
-            if attempts >= OUTBOX_MAX_ATTEMPTS:
-                return
-            await asyncio.sleep(min(5, 2 * max(1, attempts)))
-
     @classmethod
     async def dispatch_pending_outbox_entries(cls, *, limit: int = 30) -> int:
-        now = datetime.utcnow()
         fetch_limit = max(1, min(200, int(limit)))
+        dispatched = 0
+        for _ in range(fetch_limit):
+            claimed = await cls._claim_next_outbox_entry(now=datetime.utcnow())
+            if claimed is None:
+                break
+            await cls._dispatch_claimed_outbox_entry(claimed=claimed)
+            dispatched += 1
+        return dispatched
+
+    @classmethod
+    async def _claim_next_outbox_entry(cls, *, now: datetime) -> Optional[dict[str, Any]]:
+        stale_before = now - timedelta(seconds=OUTBOX_STALE_SENDING_SECONDS)
         async with AsyncSessionLocal() as db:
-            due_rows = (
+            await db.execute(
+                update(FeishuReplyOutbox)
+                .where(
+                    FeishuReplyOutbox.status == "sending",
+                    FeishuReplyOutbox.updated_at <= stale_before,
+                )
+                .values(status="retrying", next_retry_at=now)
+            )
+            candidate_id = (
                 await db.execute(
                     select(FeishuReplyOutbox.id)
                     .where(
@@ -843,18 +813,121 @@ class FeishuIntegrationService:
                         ),
                     )
                     .order_by(FeishuReplyOutbox.id.asc())
-                    .limit(fetch_limit)
+                    .with_for_update(skip_locked=True)
+                    .limit(1)
                 )
-            ).scalars().all()
+            ).scalar_one_or_none()
+            if candidate_id is None:
+                await db.commit()
+                return None
 
-        if not due_rows:
+            claimed = (
-            return 0
+                await db.execute(
-
+                    update(FeishuReplyOutbox)
-        await asyncio.gather(
+                    .where(
-            *(cls._dispatch_outbox_entry_by_id(outbox_id=int(outbox_id)) for outbox_id in due_rows),
+                        FeishuReplyOutbox.id == int(candidate_id),
-            return_exceptions=True,
+                        FeishuReplyOutbox.status.in_(("pending", "retrying")),
+                        or_(
+                            FeishuReplyOutbox.next_retry_at.is_(None),
+                            FeishuReplyOutbox.next_retry_at <= now,
+                        ),
                     )
-        return len(due_rows)
+                    .values(
+                        status="sending",
+                        attempts=FeishuReplyOutbox.attempts + 1,
+                        last_error=None,
+                        next_retry_at=None,
+                    )
+                    .returning(
+                        FeishuReplyOutbox.id,
+                        FeishuReplyOutbox.tenant_id,
+                        FeishuReplyOutbox.chat_id,
+                        FeishuReplyOutbox.message_text,
+                        FeishuReplyOutbox.reply_hash,
+                        FeishuReplyOutbox.attempts,
+                    )
+                )
+            ).mappings().first()
+            await db.commit()
+            if claimed is None:
+                return None
+            return dict(claimed)
+
+    @classmethod
+    async def _dispatch_claimed_outbox_entry(cls, *, claimed: dict[str, Any]) -> None:
+        outbox_id = int(claimed.get("id") or 0)
+        if outbox_id <= 0:
+            return
+        tenant_id = int(claimed.get("tenant_id") or 1)
+        reply_hash = str(claimed.get("reply_hash") or "").strip()
+        if reply_hash:
+            async with AsyncSessionLocal() as db_check:
+                sent_duplicate = (
+                    await db_check.execute(
+                        select(FeishuReplyOutbox.id)
+                        .where(
+                            FeishuReplyOutbox.id != outbox_id,
+                            FeishuReplyOutbox.tenant_id == tenant_id,
+                            FeishuReplyOutbox.reply_hash == reply_hash,
+                            FeishuReplyOutbox.status == "sent",
+                        )
+                        .limit(1)
+                    )
+                ).scalar_one_or_none()
+            if sent_duplicate is not None:
+                async with AsyncSessionLocal() as db_skip:
+                    row = (
+                        await db_skip.execute(
+                            select(FeishuReplyOutbox).where(FeishuReplyOutbox.id == outbox_id)
+                        )
+                    ).scalar_one_or_none()
+                    if row is not None and str(row.status or "").lower() == "sending":
+                        row.status = "sent"
+                        row.sent_at = datetime.utcnow()
+                        row.next_retry_at = None
+                        row.last_error = f"dedupe_skip_sent:{int(sent_duplicate)}"
+                        await db_skip.commit()
+                return
+
+        send_error: Optional[str] = None
+        try:
+            async with AsyncSessionLocal() as db_send:
+                service = FeishuIntegrationService(db_send)
+                await service.load_config(tenant_id=int(claimed.get("tenant_id") or 1))
+                await service.send_message_to_group(
+                    chat_id=str(claimed.get("chat_id") or ""),
+                    message=str(claimed.get("message_text") or ""),
+                )
+        except Exception as exc:
+            send_error = str(exc)
+
+        async with AsyncSessionLocal() as db_update:
+            row = (
+                await db_update.execute(
+                    select(FeishuReplyOutbox).where(FeishuReplyOutbox.id == outbox_id)
+                )
+            ).scalar_one_or_none()
+            if row is None:
+                return
+            if str(row.status or "").lower() != "sending":
+                return
+            attempts = int(row.attempts or claimed.get("attempts") or 0)
+            if send_error is None:
+                row.status = "sent"
+                row.sent_at = datetime.utcnow()
+                row.next_retry_at = None
+                row.last_error = None
+                await db_update.commit()
+                return
+            if attempts >= OUTBOX_MAX_ATTEMPTS:
+                row.status = "failed"
+                row.next_retry_at = None
+            else:
+                row.status = "retrying"
+                delay_seconds = min(30, 2 * (2 ** max(0, attempts - 1)))
+                row.next_retry_at = datetime.utcnow() + timedelta(seconds=delay_seconds)
+            row.last_error = (send_error or "unknown_send_error")[:1000]
+            await db_update.commit()
 
     @staticmethod
     def _clean_reply_text(value: Optional[str]) -> str:
@@ -872,6 +945,53 @@ class FeishuIntegrationService:
             return cls._build_error_reply_text()
         return text[:500]
 
+    @staticmethod
+    def _build_reply_hash(*, source_message_id: Optional[str], message_text: str) -> Optional[str]:
+        source = str(source_message_id or "").strip()
+        body = str(message_text or "").strip()
+        if not source or not body:
+            return None
+        raw = f"{source}{body}".encode("utf-8")
+        return hashlib.md5(raw, usedforsecurity=False).hexdigest()
+
+    @staticmethod
+    def _is_capability_question(message_content: Optional[str]) -> bool:
+        normalized = re.sub(r"\s+", "", str(message_content or "").lower())
+        if not normalized:
+            return False
+        capability_tokens = (
+            "你是谁",
+            "你是什么",
+            "你能做什么",
+            "你可以做什么",
+            "系统能力",
+            "能力介绍",
+            "介绍下你",
+        )
+        return any(token in normalized for token in capability_tokens)
+
+    @staticmethod
+    def _strip_identity_lead(reply_text: str) -> str:
+        text = str(reply_text or "").strip()
+        if not text:
+            return text
+        lowered = text.lower()
+        forbidden_prefixes = (
+            "我是",
+            "我可以",
+            "我现在",
+            "是的，我现在",
+            "可以在这里和我",
+        )
+        forbidden_contains = (
+            "通过 feishu",
+            "群聊接入 openclaw",
+            "你可以直接在这里和我对话",
+        )
+        if any(lowered.startswith(prefix) for prefix in forbidden_prefixes) or any(token in lowered for token in forbidden_contains):
+            return ""
+        return text
+
     @staticmethod
     def _looks_like_provider_error(text: str) -> bool:
         lowered = str(text or "").strip().lower()

backend/app/services/feishu_signal_pipeline.py

@@ -106,7 +106,11 @@ FOLLOWUP_REFERENCE_RE = re.compile(
     re.IGNORECASE,
 )
 OBVIOUS_QUESTION_RE = re.compile(
-    r"([?？]$|吗$|呢$|呀$|吧$|怎么|如何|为什么|多少|几号|几点|周几|有没有|是否|是不是|是什么|在哪|哪一个|哪几个)",
+    r"([?？]$|吗$|呢$|呀$|吧$|怎么|如何|为什么|多少|几号|几点|周几|有没有|是否|是不是|是什么|什么|哪些|有哪些|在哪|哪一个|哪几个|特点|能力|介绍|说明|风险)",
+    re.IGNORECASE,
+)
+QUERY_INTENT_RE = re.compile(
+    r"(哪些|有哪些|特点|技术特点|能力|介绍|说明|怎么|如何|是什么|什么|能做什么|可以做什么|项目有哪些风险)",
     re.IGNORECASE,
 )
 FEISHU_BOT_MENTION_RE = re.compile(r"(?:<at[^>]*>[^<]*</at>|@pmflow\b|@_user_1\b)", re.IGNORECASE)
@@ -669,6 +673,16 @@ class FeishuSignalPipelineService:
                 "correction_match": correction_match,
             }
 
+        if self._is_query_like_question(text):
+            return {
+                "intent": INTENT_QUERY,
+                "canonical_action": None,
+                "clarification_template": "",
+                "risk_level": "low",
+                "fields": {},
+                "correction_match": correction_match,
+            }
+
         if self._is_obvious_question(text):
             return {
                 "intent": INTENT_QUERY,
@@ -2944,12 +2958,28 @@ class FeishuSignalPipelineService:
         text = str(message or "").strip()
         if not text:
             return False
+        if cls._is_query_like_question(message):
+            return True
         if cls._is_openclaw_business_command(text):
             return False
         if cls._looks_like_project_lookup_question(text):
             return True
         return bool(OBVIOUS_QUESTION_RE.search(text))
 
+    @classmethod
+    def _is_query_like_question(cls, message: str) -> bool:
+        text = str(message or "").strip()
+        if not text:
+            return False
+        normalized = re.sub(r"\s+", "", text.lower())
+        has_question_structure = bool(OBVIOUS_QUESTION_RE.search(text) or QUERY_INTENT_RE.search(text))
+        if not has_question_structure:
+            return False
+        has_operation_verb = bool(OPENCLAW_COMMAND_VERB_RE.search(text))
+        imperative_tokens = ("帮我", "请", "麻烦", "直接", "立刻", "马上", "执行", "处理", "安排")
+        has_imperative = any(token in normalized for token in imperative_tokens)
+        return not has_operation_verb and not has_imperative
+
     @staticmethod
     def _decorate_capture_result(
         result: dict[str, Any],
@@ -3450,6 +3480,8 @@ class FeishuSignalPipelineService:
         text = str(message or "").strip()
         if not text:
             return False
+        if cls._is_query_like_question(message):
+            return False
         if cls._looks_like_project_create_command(text):
             return True
         return bool(OPENCLAW_COMMAND_VERB_RE.search(text) and OPENCLAW_COMMAND_OBJECT_RE.search(text))