update

src/interface.jl

@@ -753,6 +753,7 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
     addNewMessage(a, "user", userinput[:text])
 
     if isempty(a.plan[:currenttrajectory])
+
       a.plan[:currenttrajectory] = Dict{Symbol, Any}(
         # deepcopy the info to prevent modifying the info unintentionally during MCTS planning
         :customerinfo=> deepcopy(a.keywordinfo[:customerinfo]),
@@ -769,7 +770,10 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
         :thoughtHistory=> OrderedDict{Symbol, Any}( 
           #[] :recap=>,
           :question=> userinput[:text],
-          )  
+          ),
+        :virtualCustomerChatHistory=> Vector{Dict{Symbol, Any}}(
+          [Dict(:name=> "user", :text=> userinput[:text])]
+          ),  
         )
     else
       _, a.plan[:currenttrajectory] = makeNewState(a.plan[:currenttrajectory], 
@@ -780,7 +784,7 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
 
   while true
     bestNextState, besttrajectory = runMCTS(a, a.plan[:currenttrajectory], decisionMaker, 
-        evaluator, reflector, totalsample=2, maxDepth=2, maxiterations=1, explorationweight=1.0)
+        evaluator, reflector, totalsample=2, maxDepth=2, maxiterations=2, explorationweight=1.0)
     a.plan[:activeplan] = bestNextState
 
     latestActionKey, latestActionIndice =