refactor: split websocket flows and add brain action decision pipeline

core/websocket_agent_reply_flow.py

@@ -0,0 +1,53 @@
+import logging
+
+from utils.observability import build_trace_id
+from core.websocket_brain_flow import decide_brain_action, execute_brain_action
+
+logger = logging.getLogger("cs_agent")
+
+
+async def handle_agent_reply_flow(client, data: dict, *, workflow, shop_type_resolver):
+    """处理单条消息：统一走 Brain 决策 + 执行。"""
+    try:
+        msg_text = client.to_chinese(data.get("msg", ""))
+        customer_id = data.get("from_id", "")
+        trace_id = build_trace_id(data.get("acc_id", ""), customer_id, data.get("msg_id", ""), msg_text[:64])
+        data["_trace_id"] = trace_id
+        shop_type = shop_type_resolver(data.get("acc_id", ""), client.to_chinese(data.get("goods_name", "") or ""))
+
+        customer_msg = client._build_customer_message(data)
+        decision = await decide_brain_action(
+            client,
+            data,
+            customer_msg,
+            trace_id=trace_id,
+            msg_text=msg_text,
+            shop_type=shop_type,
+        )
+        client._activity_log(
+            "brain_decision",
+            trace_id=trace_id,
+            acc_id=data.get("acc_id", ""),
+            customer_id=data.get("from_id", ""),
+            action=decision.action,
+            source=decision.source,
+            should_reply=bool(decision.should_reply),
+            need_transfer=bool(decision.need_transfer),
+        )
+        await execute_brain_action(
+            client,
+            data,
+            decision=decision,
+            trace_id=trace_id,
+            msg_text=msg_text,
+        )
+
+    except Exception as e:
+        logger.error("Agent 处理失败: %s", e)
+        client._activity_log(
+            "agent_process_error",
+            trace_id=data.get("_trace_id", ""),
+            acc_id=data.get("acc_id", ""),
+            customer_id=data.get("from_id", ""),
+            error=str(e),
+        )