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],

src/mcts.jl

@@ -267,106 +267,6 @@ end
 isLeaf(node::MCTSNode)::Bool = isempty(node.children)
 
 
-
-"""
-
-  Arguments\n
-  -----
-    
-  Return\n
-  -----
-
-  Example\n
-  -----
-  ```jldoctest
-  julia> 
-  ```
-
-  TODO\n
-  -----
-    [] update docstring
-    [WORKING] implement the function
-
-  Signature\n
-  -----
-"""
-function iterativeprompting(a::T, prompt::String, verification::Function) where {T<:agent}
-  
-  msgMeta = GeneralUtils.generate_msgMeta(
-    a.config[:thirdPartyService][:text2textinstruct],
-    senderName= "iterativeprompting",
-    senderId= a.id,
-    receiverName= "text2textinstruct",
-  )
-
-  outgoingMsg = Dict(
-    :msgMeta,
-    :payload=> Dict(
-      :text=> prompt,
-    )
-  )
-
-  # iteration loop
-  while true
-    # send prompt to LLM
-    response = GeneralUtils.sendReceiveMqttMsg()
-
-    # check for correctness and get feedback
-
-    if correct
-      
-      break
-    else  
-      # get LLM critique
-
-      # add critique to prompt
-    end
-
-    
-
-  end
-  return 
-end
-
-
-""" Check JSON format correctness, provide 
-
-  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)
-  if !success # gives feedback
-    
-
-
-  else
-
-
-  end
-  
-
-  return (success, result, critique)
-end
-
-
 """
 
   Arguments\n

src/type.jl

@@ -114,9 +114,6 @@ abstract type agent end
     :activeplan => Vector{Dict{Symbol, Any}}(),  # current using plan
     :currenttrajectory=> Vector{Dict{Symbol, Any}}(),  # store 
   )
-  
-  # communication
-  msgMeta::Dict{Symbol, Any} # a template for msgMeta
 
   # put incoming message here. waiting for further processing
   receiveUserMsgChannel::Channel{Dict} = Channel{Dict}(8)  # for incoming user communication
@@ -167,7 +164,6 @@ function sommelier(
     name= name,
     id= id,
     config= config,
-    msgMeta= msgMeta,
     maxHistoryMsg= maxHistoryMsg,
     tools= tools,
     thinkinglimit= thinkinglimit,

src/util.jl

@@ -1,6 +1,7 @@
 module util
 
-export clearhistory, addNewMessage, formatLLMtext, formatLLMtext_llama3instruct
+export clearhistory, addNewMessage, formatLLMtext, formatLLMtext_llama3instruct,
+        syntaxcheck_json, iterativeprompting
 
 using UUIDs, Dates, DataStructures, HTTP, MQTTClient, JSON3
 using GeneralUtils
@@ -228,7 +229,105 @@ end
 
 
 
+""" Check JSON format correctness, provide 
 
+  Arguments\n
+  -----
+    jsonstring::T
+    
+  Return\n
+  -----
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [WORKING] implement the function
+
+  Signature\n
+  -----
+"""
+function syntaxcheck_json(jsonstring::T)::NamedTuple where {T<:AbstractString}
+  error("--> syntaxcheck_json")
+  # success, result, errormsg, st = GeneralUtils.showstracktrace(JSON3.read, jsonstring)
+  # if !success # gives feedback
+    
+
+
+  # else
+
+
+  # end
+  
+
+  # return (success, result, critique)
+end
+
+
+"""
+
+  Arguments\n
+  -----
+    
+  Return\n
+  -----
+
+  Example\n
+  -----
+  ```jldoctest
+  julia> 
+  ```
+
+  TODO\n
+  -----
+    [] update docstring
+    [WORKING] implement the function
+
+  Signature\n
+  -----
+"""
+function iterativeprompting(a::T, prompt::String, verification::Function) where {T<:agent}
+  msgMeta = GeneralUtils.generate_msgMeta(
+    a.config[:externalService][:text2textinstruct],
+    senderName= "iterativeprompting",
+    senderId= a.id,
+    receiverName= "text2textinstruct",
+  )
+
+  outgoingMsg = Dict(
+    :msgMeta=> msgMeta,
+    :payload=> Dict(
+      :text=> prompt,
+    )
+  )
+
+  # iteration loop
+  while true
+    # send prompt to LLM
+    response = GeneralUtils.sendReceiveMqttMsg(outgoingMsg)
+    error("--> iterativeprompting")
+    # check for correctness and get feedback
+
+    # if correct
+      
+    #   break
+    # else  
+    #   # get LLM critique
+
+    #   # add critique to prompt
+    # end
+
+    
+
+  end
+  
+  return response
+end