update

src/interface.jl

@@ -3,7 +3,8 @@ module interface
 export addNewMessage, conversation, decisionMaker, evaluator, reflector, generatechat,
   generalconversation, detectWineryName
 
-using JSON3, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization
+using JSON3, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization,
+      DataFrames
 using GeneralUtils
 using ..type, ..util, ..llmfunction
 
@@ -940,6 +941,7 @@ function generatechat(a::sommelier, thoughtDict)
     You should follow the following guidelines:
     - Focus on the latest conversation.
     - If the user interrupts, prioritize the user
+    - Be honest
     - Medium and full-bodied red wines should not be paired with spicy foods.
 
     You should then respond to the user with:
@@ -1313,90 +1315,13 @@ function generatequestion(a, text2textInstructLLM::Function; recent=nothing)::St
 end
 
 
-# function generateSituationReport(a, text2textInstructLLM::Function; skiprecent::Integer=0
-# )::Dict
-
-#   systemmsg = 
-#   """
-#     You are an assistant being in the given events. 
-#     Your task is to writes a summary for each event in an ongoing, interleaving series.
-      
-#     At each round of conversation, you will be given the situation:
-#     Total events: number of events you need to summarize.
-#     Events timeline: ...
-#     Context: ...
-
-#     You should then respond to the user with:
-#     event: a detailed summary for each event without exaggerated details.
-    
-#     You must only respond in format as described below:
-#     Event_1: ...
-#     Event_2: ...
-#     ...
-
-#     Here are some examples:
-#     Event_1: The user ask me about where to buy a toy.
-#     Event_2: I told the user to go to the store at 2nd floor.
-
-#     Let's begin!
-#   """
-
-#   if length(a.memory[:events]) <= skiprecent
-#     return Dict(:recap => "None")
-#   end
-
-#   events = deepcopy(a.memory[:events][1:end-skiprecent])
-
-#   timeline = ""
-#   for (i, event) in enumerate(events)
-#     if event[:outcome] === nothing
-#       timeline *= "$i) $(event[:subject])> $(event[:actioninput])\n"
-#     else
-#       timeline *= "$i) $(event[:subject])> $(event[:actioninput]) $(event[:outcome])\n"
-#     end
-#   end
-
-#   errornote = ""
-#   response = nothing # store for show when error msg show up
-
-#   for attempt in 1:10
-#     usermsg = """
-#               Total events: $(length(events))
-#               Events timeline: $timeline
-#               $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|>
-#               """
-
-#     response = text2textInstructLLM(prompt)
-#     # responsedict = GeneralUtils.textToDict(response,
-#     #                   ["summary", "presented", "selected"], 
-#     #                   rightmarker=":", symbolkey=true)
-#     println("\n~~~ generateSituationReport() ", Dates.now(), " ", @__FILE__, " ", @__LINE__)
-#     pprintln(response)
-
-#     return Dict(:recap => response)
-#   end
-#   error("generateSituationReport failed to generate a response ", response)
-# end
-
 function generateSituationReport(a, text2textInstructLLM::Function; skiprecent::Integer=0
   )::OrderedDict
   
   systemmsg = 
   """
     You are an assistant being in the given events. 
-    Your task is to writes a summary for each event in an ongoing, interleaving series.
+    Your task is to writes a summary for each event seperately into an ongoing, interleaving series.
       
     At each round of conversation, you will be given the situation:
     Total events: number of events you need to summarize.