Create tools.py

src/tools.py

@@ -0,0 +1,26 @@
+from langchain_core.tools import tool
+from tools.intelligent_retrieval_tool import get_machine_context_async
+
+@tool
+async def wurthlac_machine_expert(query: str) -> str:
+    """
+    Use this tool for ANY question about products, machinery, or specific models,
+    such as 'JDT75' or 'Cantek DT65'. It is the primary source of truth for all
+    product-related inquiries, including features, price, specifications,
+    comparisons, or recommendations. Do NOT use this tool for simple greetings
+    or general questions about the company (e.g., 'who are you?', 'what are your shipping policies?').
+    """
+    print(f"--- Agent decided to call the Wurthlac Machine Expert tool ---")
+    ...
+    print(f"--- Passing query: '{query}' to the expert tool... ---")
+    
+    context = await get_machine_context_async(query=query)
+
+    print("\n" + "="*50)
+    print("--- [TOOL DEBUG] RAW CONTEXT RETURNED FROM RETRIEVER ---")
+    print(f"RAW DATA: {context}")
+    print("--- [TOOL DEBUG] END OF RAW CONTEXT ---")
+    print("="*50 + "\n")
+    return context
+
+all_tools = [wurthlac_machine_expert]