refactor: unify core pipeline logging with cs_agent logger

core/agent_tools.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import logging
 from typing import Any
 
 from pydantic_ai import RunContext
@@ -8,6 +9,8 @@ from db.customer_risk_db import risk_db
 from services.service_tuhui_upload import upload_to_tuhui
 from core.order_helpers import parse_order_info
 
+logger = logging.getLogger("cs_agent")
+
 
 def register_tools(agent) -> None:
     """注册所有 Tool，让 Agent 可以主动调用。"""
@@ -65,9 +68,15 @@ def register_tools(agent) -> None:
                     subject=result.get("subject", ""),
                     quality=result.get("quality", ""),
                 )
-                print(f"[Agent] Workflow 任务已创建 | 客户: {ctx.deps.from_id} | 比例: {result.get('aspect_ratio')} | 透视: {result.get('perspective')} | 图片: {image_url[:60]}...")
+                logger.info(
+                    "[Agent] Workflow 任务已创建 | 客户: %s | 比例: %s | 透视: %s | 图片: %s...",
+                    ctx.deps.from_id,
+                    result.get("aspect_ratio"),
+                    result.get("perspective"),
+                    image_url[:60],
+                )
             except Exception as e:
-                print(f"[Agent] Workflow 任务创建失败: {e}")
+                logger.exception("[Agent] Workflow 任务创建失败: %s", e)
 
             # 组装给 AI 的分析报告
             risk      = result.get("risk", "none")