update

src/interface.jl

@@ -109,7 +109,10 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
     
     else    #[WORKING] new thinking 
       initialState = Dict(
-        :info=> Dict{Symbol, Any}(),           # keyword info
+
+        # deepcopy the info to prevent modifying the info unintentionally during MCTS planning
+        :info=> deepcopy(a.keywordinfo),  
+
         :thoughtHistory=> Dict{Symbol, Any}( # contain question, thought_1, action_1, observation_1, thought_2, ...
           :question=> userinput[:text],
         )  
@@ -117,6 +120,7 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
       bestplan = runMCTS(initialState, decisionMaker, stateValueEstimator, reflector,
                   3, 10, 1000, 1.0)
       error("---> bestplan")
+
       # actor loop(bestplan)
 
     end  

src/mcts.jl

@@ -133,7 +133,8 @@ function expand(node::MCTSNode, state::T, decisionMaker::Function, stateValueEst
 
   # sampling action from decisionMaker
   for sample in 1:n
-    result = decisionMaker(state)
+    thought = decisionMaker(state)
+    error("--> expand")
     newState = transition(node.state, action)  #[] Implement your transition function
     if newState ∉ keys(node.children)
         node.children[newState] = MCTSNode(newState, 0, 0.0, Dict{T, MCTSNode}())
@@ -266,6 +267,78 @@ isLeaf(node::MCTSNode)::Bool = isempty(node.children)
 
 """ Think and choose action
 
+  Arguments\n
+  -----
+    state::T
+      a game state
+    
+  Return\n
+  -----
+    thought::Dict
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [WORKING] implement the function
+    [] implement RAG to pull similar experience
+    [] use iterative prompting to ensure JSON format
+
+  Signature\n
+  -----
+"""
+function decisionMaker(state::T) where {T<:AbstractDict}
+  customerinfo = 
+  """
+    I will give you the following information about customer:
+    $(JSON3.write(state[:customerinfo]))
+  """
+
+  storeinfo =
+  """
+    I will give you the following information about your store:
+    $(JSON3.write(state[:storeinfo]))
+  """
+
+  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.
+
+    $customerinfo
+
+    You must follow the 
+  """
+
+
+
+  result = iterativeprompting(prompt, syntaxcheck("json"))
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+  error("--> decisionMaker")
+end
+
+"""
+
   Arguments\n
   -----
     
@@ -281,16 +354,44 @@ isLeaf(node::MCTSNode)::Bool = isempty(node.children)
   TODO\n
   -----
     [] update docstring
-    [] implement the function
+    [WORKING] implement the function
-    [WORKING] implement RAG to pull similar experience
 
   Signature\n
   -----
 """
-function decisionMaker(state::T) where {T<:AbstractDict}
+function iterativeprompting(prommpt::String, verification::Function)
 
 end
 
+"""
+
+  Arguments\n
+  -----
+    
+  Return\n
+  -----
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [WORKING] implement the function
+
+  Signature\n
+  -----
+"""
+function syntaxcheck_json(jsonstring::String)::NamedTuple
+  success, result, errormsg, st = GeneralUtils.showstracktrace(JSON3.read, jsonstring)
+  
+
+  return 
+end
+
 """
 
   Arguments\n
@@ -387,7 +488,7 @@ end
   TODO\n
   -----
     [] update docstring
-    [WORKING] implement the function
+    [] implement the function
 
   Signature\n
   -----
@@ -440,7 +541,7 @@ function runMCTS(initialState, decisionMaker::Function, stateValueEstimator::Fun
                 maxIterations::Integer, w::Float64)
   statetype = typeof(initialState)
   root = MCTSNode(initialState, 0, 0.0, Dict{statetype, MCTSNode}())
-  error("---> runMCTS")
+  
   for _ in 1:maxIterations
     node = root
     while !isLeaf(node)
@@ -448,7 +549,7 @@ function runMCTS(initialState, decisionMaker::Function, stateValueEstimator::Fun
     end
 
     expand(node, node.state, decisionMaker, stateValueEstimator, n=n)
-
+    error("---> runMCTS")
     leaf_node = node.children[node.state] # mark leaf node
     reward = simulate(leaf_node.state, maxDepth)
     backpropagate(leaf_node, reward)

src/type.jl

@@ -98,8 +98,8 @@ abstract type agent end
 
   maxHistoryMsg::Integer  # 31th and earlier messages will get summarized
   keywordinfo::Dict{Symbol, Any} = Dict{Symbol, Any}(
-    :userinfo => Dict{Symbol, Any}(),
+    :customerinfo => Dict{Symbol, Any}(),
-    :retailerinfo => Dict{Symbol, Any}(),
+    :storeinfo => Dict{Symbol, Any}(),
   )
   mctstree::Dict{Symbol, Any} = Dict{Symbol, Any}()