update

src/interface.jl

@@ -33,6 +33,122 @@ using ..type, ..util, ..llmfunction, ..mcts
 # ---------------------------------------------- 100 --------------------------------------------- #
 
 
+""" Think and choose action
+
+  Arguments\n
+  -----
+    state::T
+      a game state
+    
+  Return\n
+  -----
+    thought::Dict
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [x] 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]))
+  """
+
+  #[x] 
+  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 
+  """
+
+
+
+  thought = iterativeprompting(prompt, syntaxcheck_json)
+
+
+  error("--> decisionMaker")
+  return thought
+end
+
+
+"""
+
+  Arguments\n
+  -----
+    
+  Return\n
+  -----
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [] implement the function
+
+  Signature\n
+  -----
+"""
+function stateValueEstimator()
+
+end
+
+
+"""
+
+  Arguments\n
+  -----
+    
+  Return\n
+  -----
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [] implement the function
+
+  Signature\n
+  -----
+"""
+function reflector()
+
+end
+
+
+
 """ Chat with llm.
 
   Arguments\n
@@ -117,8 +233,8 @@ function conversation(a::T, userinput::Dict) where {T<:agent}
           :question=> userinput[:text],
         )  
       )
-      bestplan = runMCTS(initialState, decisionMaker, stateValueEstimator, reflector,
-                  3, 10, 1000, 1.0)
+      bestplan = runMCTS(a, initialState, decisionMaker, stateValueEstimator, reflector,
+                        3, 10, 1000, 1.0)
       error("---> bestplan")
 
       # actor loop(bestplan)
@@ -178,6 +294,7 @@ end
 
 
 
+
 
 
 end # module interface