update

src/interface.jl

@@ -1,6 +1,6 @@
 module interface
     
-export addNewMessage, conversation
+export addNewMessage, conversation, decisionMaker
 
 using JSON3, DataStructures, Dates, UUIDs, HTTP, Random, MQTTClient
 using GeneralUtils
@@ -60,7 +60,7 @@ using ..type, ..util, ..llmfunction, ..mcts
   Signature\n
   -----
 """
-function decisionMaker(state::T) where {T<:AbstractDict}
+function decisionMaker(a::T1, state::T2) where {T1<:agent, T2<:AbstractDict}
   customerinfo = 
   """
     I will give you the following information about customer:
@@ -73,8 +73,8 @@ function decisionMaker(state::T) where {T<:AbstractDict}
     $(JSON3.write(state[:storeinfo]))
   """
 
-  #[x] 
-  prompt =
+  #[WORKING] 
+  _prompt = 
   """
     You are a helpful sommelier working for a wine store. 
     You helps users by searching wine that match the user preferences from your inventory.
@@ -84,9 +84,9 @@ function decisionMaker(state::T) where {T<:AbstractDict}
     You must follow the 
   """
 
+  prompt =  formatLLMtext_llama3instruct("system", _prompt)
 
-
-  thought = iterativeprompting(prompt, syntaxcheck_json)
+  thought = iterativeprompting(a, prompt, syntaxcheck_json)
 
 
   error("--> decisionMaker")
@@ -227,7 +227,8 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
       initialState = Dict(
 
         # deepcopy the info to prevent modifying the info unintentionally during MCTS planning
-        :info=> deepcopy(a.keywordinfo),  
+        :customerinfo=> deepcopy(a.keywordinfo[:customerinfo]),
+        :storeinfo=> deepcopy(a.keywordinfo[:storeinfo]),  
 
         :thoughtHistory=> Dict{Symbol, Any}( # contain question, thought_1, action_1, observation_1, thought_2, ...
           :question=> userinput[:text],