bug fixes with ai agent

www/html/_plugins/agent.py

@@ -80,6 +80,7 @@ class Tool:
         """
         This function will execute a query against a given label/database. The query must adhere to the schema of the tables involved.
         """
+        # print (query)
         return self._dbr.read(sql=query).to_dict(orient='records')
 
 class TransportAgent:
@@ -124,7 +125,7 @@ class TransportAgent:
      labels/databases. The user is working in {label} database ({dbr._agent._engine.name} database).
                                                                                                                        
      Your primary goal is to execute a requested operation based on the user's query. You MUST strictly adhere to      
-     the following process and output format. 
+     the following process and output format.  When users ask for a list of something, they just mean the records.
 
      **Process Flow:**   
     if and ONLY if the user's question is a database query execute the "read" function associated with the tools.
@@ -132,7 +133,7 @@ class TransportAgent:
     1.  **Catalog Retrieval:** First, return the list of tables with a field describing the table. 
     schema) from the catalog.                                                                                         
     2.  **Query Generation:** Construct an accurate SQL query that directly addresses the user's request using the    
-    the information pulled from the catalog.
+    the information pulled from the catalog. NEVER have a query project a complex object (List; JSON; Blob)
     3. Make sure the generated query adheres to constraints of {dbr._agent._engine.name} database
     4.  **Execution:** Execute the SQL query against by calling the "read" function of the tools.                                                        
     5.  **Analysis is Optional and should be provided ONLY if the user requested it:** If the user asks for an analysis, perform the necessary data processing and derive