```

feat(ai_agent): 完善AI适配器和服务功能

- 添加OpenClaw和Hermes健康检查接口
- 实现OpenClaw工具调用功能
- 重构AI适配器使用常量定义
- 增加AI技能系统支持
- 更新配置文件中的默认模型提供者设置

refactor(scheduler): 使用常量替换硬编码值

- 将硬编码的actor值替换为ActorValue常量
- 将receive_id_type替换为FeishuReceiveIdType枚举

refactor(audit): 统一审计日志常量使用

- 将硬编码的actor、source、risk_level等值替换为对应常量
- 更新审核服务中的状态和操作常量引用

refactor(approvals): 标准化审批模块常量使用

- 将applicant默认值替换为ActorValue.API常量
- 使用ApprovalStatus常量替代硬编码状态值
- 更新审核操作常量引用
```

app/modules/feishu/commands.py

@@ -4,12 +4,24 @@ from typing import Any
 
 from sqlalchemy.orm import Session
 
+from app.core.constants import ActorValue
 from app.core.config import get_settings
 from app.modules.ai_agent.service import AIService
+from app.modules.ai_agent.constants import AIResponseKey
+from app.modules.audit.constants import AuditSource
+from app.modules.feishu.constants import FeishuCommandKey
 from app.modules.feishu.service import FeishuService
 from app.modules.reports.service import ReportService
 from app.modules.risk.service import RiskService
 
+DAILY_REPORT_KEYWORDS = ("日报", "晨报", "经营日报", "经营晨报")
+PROJECT_WEEKLY_KEYWORDS = ("周报", "项目周报")
+ATTENDANCE_KEYWORDS = ("打卡", "考勤", "attendance")
+RISK_KEYWORDS = ("风险", "预警", "risk")
+AI_COMMAND_PREFIXES = ("问 ", "ai ", "AI ", "/ask ")
+RISK_TITLE = "风险预警"
+DEFAULT_AI_PROMPT = "请说明你能做什么。"
+
 
 def _parse_content_text(content: Any) -> str:
     """Extract plain command text from a Feishu message content payload."""
@@ -52,25 +64,25 @@ class FeishuCommandService:
             return None
         sender = event.get("sender") or {}
         sender_id = sender.get("sender_id") or {}
-        actor = sender_id.get("open_id") or sender_id.get("user_id") or "feishu"
+        actor = sender_id.get("open_id") or sender_id.get("user_id") or ActorValue.FEISHU
         return {
-            "text": text,
-            "chat_id": message.get("chat_id"),
-            "actor": actor,
+            FeishuCommandKey.TEXT: text,
+            FeishuCommandKey.CHAT_ID: message.get(FeishuCommandKey.CHAT_ID),
+            FeishuCommandKey.ACTOR: actor,
         }
 
     def handle_text(
         self,
         text: str,
         chat_id: str | None = None,
-        actor: str = "feishu",
+        actor: str = ActorValue.FEISHU,
         auto_reply: bool = True,
     ) -> dict[str, Any]:
         command_text = _clean_command_text(text)
         lowered = command_text.lower()
         provider_response: dict[str, Any] | None = None
 
-        if any(keyword in command_text for keyword in ["日报", "晨报", "经营日报", "经营晨报"]):
+        if any(keyword in command_text for keyword in DAILY_REPORT_KEYWORDS):
             report = ReportService(self.db).daily_brief()
             result = {
                 "command": "daily_brief",
@@ -89,7 +101,7 @@ class FeishuCommandService:
             result["provider_response"] = provider_response
             return result
 
-        if any(keyword in command_text for keyword in ["周报", "项目周报"]):
+        if any(keyword in command_text for keyword in PROJECT_WEEKLY_KEYWORDS):
             report = ReportService(self.db).project_weekly()
             result = {
                 "command": "project_weekly",
@@ -108,7 +120,7 @@ class FeishuCommandService:
             result["provider_response"] = provider_response
             return result
 
-        if any(keyword in command_text for keyword in ["打卡", "考勤", "attendance"]):
+        if any(keyword in command_text for keyword in ATTENDANCE_KEYWORDS):
             report = ReportService(self.db).attendance_summary()
             result = {
                 "command": "attendance_summary",
@@ -127,7 +139,7 @@ class FeishuCommandService:
             result["provider_response"] = provider_response
             return result
 
-        if any(keyword in command_text for keyword in ["风险", "预警", "risk"]):
+        if any(keyword in command_text for keyword in RISK_KEYWORDS):
             summary = RiskService(self.db).summary()
             lines = [
                 f"- 综合风险等级：{summary['risk_level']}",
@@ -142,25 +154,38 @@ class FeishuCommandService:
             result = {
                 "command": "risk_summary",
                 "reply_type": "card",
-                "title": "风险预警",
+                "title": RISK_TITLE,
                 "content": "\n".join(lines),
                 "lines": lines,
             }
             if auto_reply:
-                provider_response = self._send_card_if_configured(chat_id, "风险预警", lines, actor)
+                provider_response = self._send_card_if_configured(
+                    chat_id,
+                    RISK_TITLE,
+                    lines,
+                    actor,
+                )
             result["provider_response"] = provider_response
             return result
 
         prompt = command_text
-        for prefix in ["问 ", "ai ", "AI ", "/ask "]:
+        for prefix in AI_COMMAND_PREFIXES:
             if command_text.startswith(prefix):
                 prompt = command_text[len(prefix) :].strip()
                 break
         if not prompt:
-            prompt = "请说明你能做什么。"
-        ai_result = AIService(self.db).ask(prompt, context={}, actor=actor, source="feishu")
-        content = ai_result["answer"]
-        is_explicit_ai = lowered.startswith(("ai ", "/ask")) or command_text.startswith("问 ")
+            prompt = DEFAULT_AI_PROMPT
+        ai_result = AIService(self.db).ask(
+            prompt,
+            context={},
+            actor=actor,
+            source=AuditSource.FEISHU,
+        )
+        content = ai_result[AIResponseKey.ANSWER]
+        is_explicit_ai = any(
+            command_text.startswith(prefix) or lowered.startswith(prefix)
+            for prefix in AI_COMMAND_PREFIXES
+        )
         result = {
             "command": "ai_ask" if is_explicit_ai else "fallback_ai",
             "reply_type": "text",