update

src/interface.jl

@@ -226,7 +226,7 @@ function decisionMaker(a::T)::Dict{Symbol, Any} where {T<:agent}
     - Get to know type of wine the user is looking for e.g. red, white, sparkling, rose, dessert, fortified
     - Get to know what occasion the user is buying wine for
     - Get to know what characteristics of wine the user is looking for e.g. tannin, sweetness, intensity, acidity
-    - Get to know what food the user will have with wine
+    - Get to know what food will be served with wine
       
     You must follow the following DON'T guidelines:
     - Don't mention any specific wine until you've checked your inventory.
@@ -1024,6 +1024,8 @@ end
 # end
 
 
+
+
 """
 
 # Arguments
@@ -1052,8 +1054,7 @@ function think(a::T) where {T<:agent}
     if actionname == "CHATBOX"
       (result=actioninput, errormsg=nothing, success=true)
     elseif actionname == "WINESTOCK"
-      DBconnection = LibPQ.Connection("host=192.168.88.12 port=5432 dbname=yiem_wine_assistant user=yiem password=yiem@Postgres_0.0")
-      winestock(actioninput, DBconnection, a.text2textInstructLLM)
+      winestock(a, actioninput)
     else
       error("undefined LLM function. Requesting $actionname")
     end
@@ -1097,7 +1098,7 @@ julia>
 function generatechat(a::T) where {T<:agent}
   systemmsg = 
   """
-  You are a helpful sommelier working for a wine store. 
+  You are a polite sommelier working for a wine store. 
   Your task is to help the user choose the best wine that match the user preferences from your inventory.
 
   At each round of conversation, the user will give you the current situation: