refactor: extract prompt building and image workflow routing from agent

core/image_workflow_router.py

@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+async def handle_image_workflow(*, workflow_router: Any, message: str, data: dict, image_urls: list) -> bool:
+    """处理图片工作流（根据客户说的话判断执行哪种工作流）。"""
+    if not image_urls:
+        return False
+
+    workflow_type, confidence = workflow_router.detect_workflow(message)
+
+    customer_id = data.get("from_id")
+    acc_id = data.get("acc_id", "")
+    acc_type = data.get("acc_type", "AliWorkbench")
+    image_url = image_urls[0]
+
+    print(f"[Agent] 检测到工作流类型：{workflow_type} (置信度：{confidence})")
+
+    if workflow_type == "find_image":
+        print(f"[Agent] 执行查找图片工作流 | 客户：{customer_id}")
+        from core.workflow import workflow
+
+        return await workflow.find_image_workflow(
+            customer_id=customer_id,
+            image_url=image_url,
+            acc_id=acc_id,
+            acc_type=acc_type,
+        )
+    if workflow_type == "process_image":
+        print(f"[Agent] 执行处理图片工作流 | 客户：{customer_id}")
+        from core.workflow import workflow
+
+        return await workflow.process_image_workflow(
+            customer_id=customer_id,
+            image_url=image_url,
+            acc_id=acc_id,
+            acc_type=acc_type,
+        )
+    if workflow_type == "transfer_human":
+        print(f"[Agent] 执行转人工派单工作流 | 客户：{customer_id}")
+        from core.workflow import workflow
+
+        return await workflow.transfer_to_designer_workflow(
+            customer_id=customer_id,
+            image_url=image_url,
+            acc_id=acc_id,
+            acc_type=acc_type,
+            reason="客户主动要求转人工",
+        )
+
+    return False