update

src/interface.jl

@@ -135,9 +135,9 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
   timeline = ""
   for (i, event) in enumerate(a.memory[:events][ind])
     if event[:outcome] === nothing
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
     else
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue]) $(event[:outcome])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
     end
   end
 
@@ -170,7 +170,7 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
       You must follow the following guidelines:
       - Generally speaking, your inventory has some wines from France, the United States, Australia, Spain, and Italy, but you won't know exactly until you check your inventory.
       - All wines in your inventory are always in stock.
-      - Before checking the inventory, engage in conversation to indirectly investigate the customer's intention, budget and preferences, which will significantly improve inventory search results.
+      - Engage in conversation to indirectly investigate the customer's intention, budget and preferences before checking your inventory.
       - Do not ask the user about wine's flavor e.g. floral, citrusy, nutty or some thing similar as these terms cannot be used to search the database.
       - Once the user has selected their wine, ask the user if they need any further assistance. Do not offer any additional services. If the user doesn't need any further assistance, say goodbye and invite them to come back next time.
       - Medium and full-bodied red wines should not be paired with spicy foods.
@@ -218,13 +218,16 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
       for winename in winenames
         if !occursin(winename, chathistory)
           println("\n~~~ Yiem decisionMaker() found wines from DB ", @__FILE__, " ", @__LINE__)
-          return Dict(:action_name=> "PRESENTBOX", 
+          d = Dict(
-                    :action_input=> """
+                  :understanding=> "I understand that the customer is looking for a wine that matches their intention and budget.",
-                                    1) Provide detailed introductions of the wines you just found to the customer.
+                  :reasoning=> "I checked the inventory and found wines that match the customer's criteria. I will present the wines to the customer.",
+                  :plan=> "1) Provide detailed introductions of the wines you just found to the customer.
                           2) Explain how the wine could match the customer's intention and what its effects might mean for the customer's experience.
                           3) If multiple wines are available, highlight their differences and provide a comprehensive comparison of how each option aligns with the customer's intention and what the potential effects of each option could mean for the customer's experience.
-                                    4) Provide your personal recommendation based on your understanding of the customer's preferences.
+                          4) Provide your personal recommendation based on your understanding of the customer's preferences.",
-                                    """)
+                  :action_name=> "PRESENTBOX",
+                  :action_input=> "")
+          return d
         end
       end
     end
@@ -254,21 +257,38 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
                 <|start_header_id|>assistant<|end_header_id|>
                 """
 
-      try
       response = a.func[:text2textInstructLLM](prompt)
       response = GeneralUtils.remove_french_accents(response)
+
+      # check if response contain more than one functions from ["CHATBOX", "CHECKINVENTORY", "ENDCONVERSATION"]
+      count = 0
+      for i ∈ ["CHATBOX", "CHECKINVENTORY", "ENDCONVERSATION"]
+        if occursin(i, response)
+          count += 1
+        end
+      end
+      if count > 1
+        errornote = "You must use only one function"
+        println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+        continue
+      end
+
       responsedict = GeneralUtils.textToDict(response,
         ["Understanding", "Reasoning", "Plan", "Action_name", "Action_input"],
         rightmarker=":", symbolkey=true, lowercasekey=true)
 
-        if responsedict[:action_name] ∉ ["CHATBOX", "PRESENTBOX", "CHECKINVENTORY", "ENDCONVERSATION"]
+      if responsedict[:action_name] ∉ ["CHATBOX", "CHECKINVENTORY", "ENDCONVERSATION"]
         errornote = "You must use the given functions"
-          error("You must use the given functions ", @__FILE__, " ", @__LINE__)
+        println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+        continue
       end
 
       for i ∈ [:understanding, :plan, :action_name]
         if length(responsedict[i]) == 0
           error("$i is empty ", @__FILE__, " ", @__LINE__)
+          errornote = "$i is empty"
+          println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+          continue
         end
       end
 
@@ -276,7 +296,9 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
       for i ∈ [:understanding, :plan, :action_name, :action_input]
         matchkeys = GeneralUtils.findMatchingDictKey(responsedict, i)
         if length(matchkeys) > 1
-            error("DecisionMaker has more than one key per categories")
+          errornote = "DecisionMaker has more than one key per categories"
+          println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+          continue
         end
       end
 
@@ -307,15 +329,11 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
           isWineInEvent == false
 
           errornote = "Note: Before recommending a wine, ensure it's in your inventory. Check your stock first."
-            error("Before recommending a wine, ensure it's in your inventory. Check your stock first.")
+          println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+          continue
         end
       end
 
-        if occursin("--|", response)
-          errornote = "Note: tables are not allowed. Do not include them your response."
-          error("your response contain tables which is not allowed.")
-        end
-
       delete!(responsedict, :mentioned_winery)
 
       # #CHANGE cache decision dict into vectorDB, this should be after new message is added to a.memory[:events]
@@ -328,13 +346,6 @@ function decisionMaker(a::T; recent::Integer=5)::Dict{Symbol,Any} where {T<:agen
       # end
 
       return responsedict
-      catch e
-        io = IOBuffer()
-        showerror(io, e)
-        errorMsg = String(take!(io))
-        st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
-        println("\nAttempt $attempt. \nError occurred: $errorMsg\n$st \nPrompt $prompt", @__FILE__, " ", @__LINE__)
-      end
     end
     error("DecisionMaker failed to generate a thought ", response)
   end
@@ -693,7 +704,7 @@ function conversation(a::sommelier, userinput::Dict)
         event_description="the user talks to the assistant.",
         timestamp=Dates.now(),
         subject="user",
-        action_or_dialogue=userinput[:text],
+        actioninput=userinput[:text],
       )
     )
 
@@ -729,7 +740,7 @@ function conversation(a::companion, userinput::Dict)
         event_description="the user talks to the assistant.",
         timestamp=Dates.now(),
         subject="user",
-        action_or_dialogue=userinput[:text],
+        actioninput=userinput[:text],
       )
     )
     chatresponse = generatechat(a)
@@ -741,7 +752,7 @@ function conversation(a::companion, userinput::Dict)
         event_description="the assistant talks to the user.",
         timestamp=Dates.now(),
         subject="assistant",
-        action_or_dialogue=chatresponse,
+        actioninput=chatresponse,
       )
     )
     return chatresponse
@@ -775,8 +786,7 @@ function think(a::T)::NamedTuple{(:actionname, :result),Tuple{String,String}} wh
   # map action and input() to llm function
   response =
     if actionname == "CHATBOX"
-      input = thoughtDict[:action_input]
+      (result=thoughtDict[:plan], errormsg=nothing, success=true)
-      (result=input, errormsg=nothing, success=true)
     elseif actionname == "CHECKINVENTORY"
       checkinventory(a, actioninput)
     elseif actionname == "PRESENTBOX"
@@ -797,16 +807,25 @@ function think(a::T)::NamedTuple{(:actionname, :result),Tuple{String,String}} wh
   errormsg::Union{AbstractString,Nothing} = haskey(response, :errormsg) ? response[:errormsg] : nothing
   success::Bool = haskey(response, :success) ? response[:success] : false
 
-  # manage memory (pass msg to generatechat)
+  #[WORKING] manage memory (pass msg to generatechat)
   if actionname ∈ ["CHATBOX", "PRESENTBOX", "ENDCONVERSATION"]
-    chatresponse = generatechat(a, result)
+    chatresponse = generatechat(a, thoughtDict)
     push!(a.memory[:events],
       eventdict(;
         event_description="the assistant talks to the user.",
         timestamp=Dates.now(),
         subject="assistant",
-        action_or_dialogue=chatresponse,
+        thought=thoughtDict,
+        actionname=actionname,
+        actioninput=chatresponse,
       )
+
+      # eventdict(;
+      #   event_description="the assistant talks to the user.",
+      #   timestamp=Dates.now(),
+      #   subject="assistant",
+      #   actioninput=chatresponse,
+      # )
     )
     result = chatresponse
     if actionname == "PRESENTBOX"
@@ -833,8 +852,10 @@ function think(a::T)::NamedTuple{(:actionname, :result),Tuple{String,String}} wh
         event_description= "the assistant searched the database.",
         timestamp= Dates.now(),
         subject= "assistant",
-        action_or_dialogue= "I searched the database with this query: $actioninput",
+        thought=thoughtDict,
-        outcome= "This is what I found in the database, $result"
+        actionname=actionname,
+        actioninput= "I searched the database with this query: $actioninput",
+        outcome= "This is what I've found in the database, $result"
       )
     )
   else
@@ -866,7 +887,7 @@ julia>
 
 # Signature
 """
-function generatechat(a::sommelier, thought::T) where {T<:AbstractString}
+function generatechat(a::sommelier, thoughtDict)
   systemmsg = 
   """
     Your name is $(a.name). You are a helpful English-speaking assistant, acting as a polite, website-based sommelier for an online wine store.
@@ -922,7 +943,7 @@ function generatechat(a::sommelier, thought::T) where {T<:AbstractString}
     usermsg = """
               Your ongoing conversation with the user: $chathistory
               Contex: $context
-              Your thoughts: $thought
+              Your thoughts: $(thoughtDict[:understanding]) $(thoughtDict[:reasoning]) $(thoughtDict[:plan]) 
               $errornote
               """
 
@@ -1016,28 +1037,29 @@ end
 
 
 function generatechat(a::companion)
+  systemmsg =
+    if a.systemmsg === nothing
       systemmsg = 
       """
-    Your name is $(a.name). You are a helpful assistant.
+        You are a helpful assistant.
         You are currently talking with the user.
         Your goal includes: 
           1) Help the user as best as you can
 
-    Your responsibility includes:
+        At each round of conversation, you will be given the following information:
-    1) Given the situation, help the user.
-
-    At each round of conversation, you will be given the current situation:
         Your ongoing conversation with the user: ...
-    Context: ...
 
         You should then respond to the user with:
-    1) Chat: Given the situation, what would you say to the user?
+        1) chat: Given the information, what would you say to the user?
 
-    You should only respond in format as described below:
+        You should only respond in JSON format as described below:
-    Chat: ...
+        {"chat": ...}
 
         Let's begin!
       """
+    else
+      a.systemmsg
+    end
 
   chathistory = vectorOfDictToText(a.chathistory)
   response = nothing # placeholder for show when error msg show up
@@ -1059,24 +1081,9 @@ function generatechat(a::companion)
               <|start_header_id|>assistant<|end_header_id|>
               """
 
-    try
+    response = a.text2textInstructLLM(prompt)
-      response = a.func[:text2textInstructLLM](prompt)
-      println("\n~~~ generatechat() ", @__FILE__, " ", @__LINE__)
-      pprintln(response)
 
-      responsedict = GeneralUtils.textToDict(response, ["Chat"],
+    return response
-        rightmarker=":", symbolkey=true, lowercasekey=true)
-
-      result = responsedict[:chat]
-
-      return result
-    catch e
-      io = IOBuffer()
-      showerror(io, e)
-      errorMsg = String(take!(io))
-      st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
-      println("\n Attempt $attempt. Error occurred: $errorMsg\n$st ", @__FILE__, " ", @__LINE__)
-    end
   end
   error("generatechat failed to generate a response")
 end
@@ -1185,9 +1192,9 @@ function generatequestion(a, text2textInstructLLM::Function; recent=nothing)::St
   timeline = ""
   for (i, event) in enumerate(a.memory[:events][ind])
     if event[:outcome] === nothing
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
     else
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue]) $(event[:outcome])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
     end
   end
   errornote = ""
@@ -1291,9 +1298,9 @@ function generateSituationReport(a, text2textInstructLLM::Function; skiprecent::
   timeline = ""
   for (i, event) in enumerate(events)
     if event[:outcome] === nothing
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
     else
-      timeline *= "$i) $(event[:subject])> $(event[:action_or_dialogue]) $(event[:outcome])\n"
+      timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
     end
   end
 

src/llmfunction.jl

@@ -1,7 +1,8 @@
 module llmfunction
 
 export  virtualWineUserChatbox, jsoncorrection, checkinventory, # recommendbox,
-        virtualWineUserRecommendbox, userChatbox, userRecommendbox, extractWineAttributes_1
+        virtualWineUserRecommendbox, userChatbox, userRecommendbox, extractWineAttributes_1,
+        extractWineAttributes_2
 
 using HTTP, JSON3, URIs, Random, PrettyPrinting, UUIDs, Dates
 using GeneralUtils, SQLLLM
@@ -550,9 +551,8 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
 
   attributes = ["reasoning", "winery", "wine_name", "vintage", "region", "country", "wine_type", "grape_variety", "tasting_notes", "wine_price", "occasion", "food_to_be_paired_with_wine"]
   errornote = ""
-  maxattempt = 5
-  for attempt in 1:maxattempt
   
+  for attempt in 1:5
     usermsg =
     """
     User's query: $input
@@ -572,14 +572,15 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
       <|start_header_id|>assistant<|end_header_id|>
       """
 
-    try
     response = a.func[:text2textInstructLLM](prompt)
     response = GeneralUtils.remove_french_accents(response)
 
     # check wheter all attributes are in the response
     for word in attributes
       if !occursin(word, response)
-          error("$word attribute is missing")
+        errornote = "$word attribute is missing in previous attempts"
+        println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+        continue
       end
     end
 
@@ -603,7 +604,8 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
       for x in content
         if !occursin("NA", responsedict[i]) && !occursin(x, input)
           errornote = "$x is not mentioned in the user query, you must only use the info from the query."
-            error(errornote)
+          println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+          continue
         end
       end
     end
@@ -627,15 +629,6 @@ function extractWineAttributes_1(a::T1, input::T2)::String where {T1<:agent, T2<
     result = result[1:end-2]  # remove the ending ", "
 
     return result
-    catch e
-      io = IOBuffer()
-      showerror(io, e)
-      errorMsg = String(take!(io))
-      st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
-      println("")
-      println("Attempt $attempt. Error occurred: $errorMsg\n$st ", @__FILE__, " ", @__LINE__)
-      println("")
-    end
   end
   error("wineattributes_wordToNumber() failed to get a response")
 end
@@ -643,6 +636,7 @@ end
 """
 # TODO
  - [PENDING] "French dry white wines with medium bod" the LLM does not recognize sweetness. use LLM self questioning to solve.
+ - [PENDING] French Syrah, Viognier, under 100. LLM extract intensiry of 3-5. why?
 """
 function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<:AbstractString}
 
@@ -675,8 +669,6 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
     4 to 5: May correspond to "high acidity" or a similar description.
   """
 
-  # chathistory = vectorOfDictToText(a.chathistory)
-
   systemmsg =
   """
   As an helpful sommelier, your task is to fill out the user's preference form based on the corresponding words from the user's query.
@@ -695,30 +687,65 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
     3) Do not generate other comments.
 
   You should then respond to the user with the following points:
-  - reasoning: State your understanding of the current situation
+  - sweetness_keyword: The exact keywords in the user's query describing the sweetness level of the wine.
   - sweetness: ( S ), where ( S ) represents integers indicating the range of sweetness levels. Example: 1-2
+  - acidity_keyword: The exact keywords in the user's query describing the acidity level of the wine.
   - acidity: ( A ), where ( A ) represents integers indicating the range of acidity level. Example: 3-5
+  - tannin_keyword: The exact keywords in the user's query describing the tannin level of the wine.
   - tannin: ( T ), where ( T ) represents integers indicating the range of tannin level. Example: 1-3
+  - intensity_keyword: The exact keywords in the user's query describing the intensity level of the wine.
   - intensity: ( I ), where ( I ) represents integers indicating the range of intensity level. Example: 2-4
-  - notes: Anything you want to add
 
-  You should only respond in the form as described below:
+  You should only respond in the form (JSON) as described below:
-  reasoning: ...
+  {
-  sweetness: ...
+    "sweetness_keyword": ...,
-  acidity: ...
+    "sweetness": ...,
-  tannin: ...
+    "acidity_keyword": ...,
-  intensity: ...
+    "acidity": ...,
-  notes: ...
+    "tannin_keyword": ...,
+    "tannin": ...,
+    "intensity_keyword": ...,
+    "intensity": ...
+  }
+
+  Here are some examples:
+  User's query: I want a wine with a medium-bodied, low acidity, medium tannin.
+  {
+    "sweetness_keyword": "NA",
+    "sweetness": "NA",
+    "acidity_keyword": "low acidity",
+    "acidity": "1-2",
+    "tannin_keyword": "medium tannin",
+    "tannin": "3-4",
+    "intensity_keyword": "medium-bodied",
+    "intensity": "3-4"
+  }
+
+
+  User's query: German red wine, under 100, pairs with spicy food
+  {
+    "sweetness_keyword": "NA",
+    "sweetness": "NA",
+    "acidity_keyword": "NA",
+    "acidity": "NA",
+    "tannin_keyword": "NA",
+    "tannin": "NA",
+    "intensity_keyword": "NA",
+    "intensity": "NA"
+  }
+
 
   Let's begin!
   """
 
-  # chathistory = vectorOfDictToText(a.chathistory)
+  errornote = ""
 
+  for attempt in 1:5
     usermsg =
     """
     $conversiontable
     User's query: $input
+    $errornote
     """
 
     _prompt = 
@@ -734,40 +761,34 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
       <|start_header_id|>assistant<|end_header_id|>
       """
 
-  attributes = ["reasoning", "sweetness", "acidity", "tannin", "intensity", "notes"]
-
-  for attempt in 1:5
-    try
     response = a.func[:text2textInstructLLM](prompt)
-      responsedict = GeneralUtils.textToDict(response, attributes, rightmarker=":", symbolkey=true)
+    responsedict = copy(JSON3.read(response))
 
-      for i ∈ attributes
+    # check whether each describing keyword is in the input to prevent halucination
-        if length(JSON3.write(responsedict[Symbol(i)])) == 0
+    for i in ["sweetness", "acidity", "tannin", "intensity"]
-          error("$i is empty ", @__LINE__)
+      keyword = Symbol(i * "_keyword")  # e.g. sweetness_keyword
-        end
+      value = responsedict[keyword]
+      if value != "NA" && !occursin(value, input)
+        errornote = "WARNING. Keyword $keyword: $value does not appear in the input. You must use information from the input only"
+        println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+        continue
       end
 
-      delete!(responsedict, :reasoning)
+      # if value == "NA" then responsedict[i] = "NA" 
-      delete!(responsedict, :notes) # LLM traps. so it can add useless info here like comments.
+      # e.g. if sweetness_keyword == "NA" then sweetness = "NA"
-
+      if value == "NA"
-      # some time LLM think the user mentioning acidity and tannin but actually didn't
+        responsedict[Symbol(i)] = "NA"
-      for (k, v) in responsedict
-        if k ∈ [:acidity, :tannin] && !occursin(string(k), input)
-          responsedict[k] = "NA"
       end
     end
 
-      # remove (some text)
-      for (k, v) in responsedict
-        _v = replace(v, r"\(.*?\)" => "")
-        responsedict[k] = _v
-      end
-
     # some time LLM not put integer range
     for (k, v) in responsedict
-        responsedict[k] = v
+      if !occursin("keyword", string(k)) 
-        if length(v) > 5
+        if !occursin('-', v) || length(v) > 5
-          error("non-range is not allowed. $k $v")
+          errornote = "WARNING: The non-range value for $k is not allowed. It should be specified in a range format, such as min-max."
+          println("Attempt $attempt $errornote ", @__FILE__, " ", @__LINE__)
+          continue
+        end
       end
     end
 
@@ -790,159 +811,11 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
     result = result[1:end-2]  # remove the ending ", "
 
     return result
-    catch e
-      io = IOBuffer()
-      showerror(io, e)
-      errorMsg = String(take!(io))
-      st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
-      println("")
-      println("Attempt $attempt. Error occurred: $errorMsg\n$st")
-      println("")
-    end
   end
   error("wineattributes_wordToNumber() failed to get a response")
 end
 
 
-# function recommendbox(a::T1, input::T2)::String where {T1<:agent, T2<:AbstractString}
-#   error("recommendbox")
-#   systemmsg =
-#   """
-#   As an helpful sommelier, your task is to fill out the user's preference form based on the corresponding words from the user's query.
-
-#   At each round of conversation, the user will give you the current situation:
-#   User's query: ...
-
-#   The preference form requires the following information:
-#   wine_type, price, occasion, food_to_be_paired_with_wine, country, grape_variety, flavors, aromas.
-
-#   You must follow the following guidelines:
-#     1) If specific information required in the preference form is not available in the query or there isn't any, mark with 'NA' to indicate this.
-#       Additionally, words like 'any' or 'unlimited' mean no information is available.
-#     2) Use the conversion table to convert the descriptive word level of sweetness, intensity, tannin, and acidity into a corresponding integer.
-#     3) Do not generate other comments.
-
-#   You should then respond to the user with the following points:
-#   - reasoning: State your understanding of the current situation
-#   - wine_type: Can be one of: "red", "white", "sparkling", "rose", "dessert" or "fortified"
-#   - price: Must be an integer representing the cost of the wine.
-#   - occasion: ...
-#   - food_to_be_paired_with_wine: food that the user will be served with wine
-#   - country: wine's country of origin
-#   - region: wine's region of origin such as Burgundy, Napa Valley
-#   - grape variety: a single name of grape used to make wine.
-#   - flavors: Names of items that the wine tastes like.
-#   - aromas: wine's aroma
-
-#   You should only respond in the form as described below:
-#   reasoning: ...
-#   wine_type: ...
-#   price: ...
-#   occasion: ...
-#   food_to_be_paired_with_wine: ...
-#   country: ...
-#   region: ...
-#   grape_variety: ...
-#   flavors: ...
-#   aromas: ...
-
-#   Let's begin!
-#   """
-
-#   attributes = ["reasoning", "wine_type", "price", "occasion", "food_to_be_paired_with_wine", "country", "region", "grape_variety", "flavors", "aromas"]
-#   errornote = ""
-#   for attempt in 1:5
-
-#     usermsg =
-#     """
-#     User's query: $input
-#     $errornote
-#     """
-
-#     _prompt = 
-#     [
-#       Dict(:name=> "system", :text=> systemmsg),
-#       Dict(:name=> "user", :text=> usermsg)
-#     ]
-
-#     # put in model format
-#     prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
-#     prompt *=
-#       """
-#       <|start_header_id|>assistant<|end_header_id|>
-#       """
-
-#     try
-#       response = a.func[:text2textInstructLLM](prompt)
-#       responsedict = GeneralUtils.textToDict(response, attributes, rightmarker=":", symbolkey=true)
-
-#       for i ∈ attributes
-#         if length(JSON3.write(responsedict[Symbol(i)])) == 0
-#           error("$i is empty ", @__LINE__)
-#         end
-#       end
-
-#       #[PENDING] check if the following attributes has more than 1 name
-#       x = length(split(responsedict[:grape_variety], ",")) * length(split(responsedict[:grape_variety], "/"))
-#       if x > 1
-#         errornote = "only a single name in grape_variety is allowed"
-#         error("only a single grape_variety name is allowed")
-#       end
-#       x = length(split(responsedict[:country], ",")) * length(split(responsedict[:country], "/"))
-#       if x > 1
-#         errornote = "only a single name in country is allowed"
-#         error("only a single country name is allowed")
-#       end
-#       x = length(split(responsedict[:region], ",")) * length(split(responsedict[:region], "/"))
-#       if x > 1
-#         errornote = "only a single name in region is allowed"
-#         error("only a single region name is allowed")
-#       end
-
-#       # check if grape_variety is mentioned in the input
-#       if responsedict[:grape_variety] != "NA" && !occursin(responsedict[:grape_variety], input)
-#         error("$(responsedict[:grape_variety]) is not mentioned in the input")
-#       end
-
-#       responsedict[:flavors] = replace(responsedict[:flavors], "notes"=>"")
-#       delete!(responsedict, :reasoning)
-#       delete!(responsedict, :tasting_notes)
-#       delete!(responsedict, :flavors)
-#       delete!(responsedict, :aromas)
-
-#       # remove (some text)
-#       for (k, v) in responsedict
-#         _v = replace(v, r"\(.*?\)" => "")
-#         responsedict[k] = _v
-#       end
-
-#       result = ""
-#       for (k, v) in responsedict
-#         # some time LLM generate text with "(some comment)". this line removes it
-#         if !occursin("NA", v) && v != "" && !occursin("none", v) && !occursin("None", v)
-#           result *= "$k: $v, "
-#         end
-#       end
-
-#       #[PENDING] remove halucination. "highend dry white wine" --> "wine_type: white, occasion: special occasion, food_to_be_paired_with_wine: seafood, fish, country: France, Italy, USA, grape_variety: Chardonnay, Sauvignon Blanc, Pinot Grigio\nwine_notes: citrus, green apple, floral"
-      
-#       result = result[1:end-2]  # remove the ending ", "
-
-#       return result
-#     catch e
-#       io = IOBuffer()
-#       showerror(io, e)
-#       errorMsg = String(take!(io))
-#       st = sprint((io, v) -> show(io, "text/plain", v), stacktrace(catch_backtrace()))
-#       println("")
-#       println("Attempt $attempt. Error occurred: $errorMsg\n$st")
-#       println("")
-#     end
-#   end
-#   error("wineattributes_wordToNumber() failed to get a response")
-# end
-
-
 """ Attemp to correct LLM response's incorrect JSON response.
 
 # Arguments

src/type.jl

@@ -11,8 +11,8 @@ abstract type agent end
 
 
 mutable struct companion <: agent
-  name::String  # agent name
   id::String    # agent id
+  systemmsg::Union{String, Nothing}
   maxHistoryMsg::Integer  # e.g. 21th and earlier messages will get summarized
 
   """ Memory
@@ -34,8 +34,8 @@ end
 function companion(
   text2textInstructLLM::Function
   ;
-  name::String= "Assistant",
   id::String= string(uuid4()),
+  systemmsg::Union{String, Nothing}= nothing,
   maxHistoryMsg::Integer= 20,
   chathistory::Vector{Dict{Symbol, String}} = Vector{Dict{Symbol, String}}(),
   )
@@ -48,8 +48,8 @@ function companion(
             )
 
   newAgent = companion(
-    name,
                         id,
+                        systemmsg,
                         maxHistoryMsg,
                         chathistory,
                         memory,
@@ -146,7 +146,6 @@ mutable struct sommelier <: agent
   """
   chathistory::Vector{Dict{Symbol, Any}}
   memory::Dict{Symbol, Any}
-
   func  # NamedTuple of functions 
 end
 

src/util.jl

@@ -169,11 +169,38 @@ function vectorOfDictToText(vecd::Vector; withkey=true)::String
 end
 
 
+# function eventdict(;
+#   event_description::Union{String, Nothing}=nothing,
+#   timestamp::Union{DateTime, Nothing}=nothing,
+#   subject::Union{String, Nothing}=nothing,
+#   action_or_dialogue::Union{String, Nothing}=nothing,
+#   location::Union{String, Nothing}=nothing,
+#   equipment_used::Union{String, Nothing}=nothing,
+#   material_used::Union{String, Nothing}=nothing,
+#   outcome::Union{String, Nothing}=nothing,
+#   note::Union{String, Nothing}=nothing,
+#   )
+#   return Dict{Symbol, Any}(
+#       :event_description=> event_description,
+#       :timestamp=> timestamp,
+#       :subject=> subject,
+#       :action_or_dialogue=> action_or_dialogue,
+#       :location=> location,
+#       :equipment_used=> equipment_used,
+#       :material_used=> material_used,
+#       :outcome=> outcome,
+#       :note=> note,
+#     )
+# end
+
+
 function eventdict(;
   event_description::Union{String, Nothing}=nothing,
   timestamp::Union{DateTime, Nothing}=nothing,
   subject::Union{String, Nothing}=nothing,
-  action_or_dialogue::Union{String, Nothing}=nothing,
+  thought::Union{AbstractDict, Nothing}=nothing,
+  actionname::Union{String, Nothing}=nothing, # "CHAT", "CHECKINVENTORY", "PRESENTBOX", etc
+  actioninput::Union{String, Nothing}=nothing,
   location::Union{String, Nothing}=nothing,
   equipment_used::Union{String, Nothing}=nothing,
   material_used::Union{String, Nothing}=nothing,
@@ -184,7 +211,9 @@ function eventdict(;
       :event_description=> event_description,
       :timestamp=> timestamp,
       :subject=> subject,
-      :action_or_dialogue=> action_or_dialogue,
+      :thought=> thought,
+      :actionname=> actionname,
+      :actioninput=> actioninput,
       :location=> location,
       :equipment_used=> equipment_used,
       :material_used=> material_used,
@@ -193,8 +222,6 @@ function eventdict(;
     )
 end
 
-
-
 # """ Convert a single chat dictionary into LLM model instruct format.
 
 # # Llama 3 instruct format example