update

src/llmfunction.jl

@@ -669,6 +669,171 @@ function extractWineAttributes_2(a::T1, input::T2)::String where {T1<:agent, T2<
 end
 
 
+# function concept(a::sommelier, thoughtDict)
+#   systemmsg = 
+#   """
+#     Your name: N/A
+#     Situation:
+#       - You are a helpful assistant
+#     Your vision: 
+#       - This is a good opportunity to help the user
+#     Your mission:
+#       - To describe the concept of a conversation
+#     Mission's objective includes:
+#       - To 
+#     Your responsibility includes:
+#       1) Given the situation, convey your thoughts to the user.
+#     Your responsibility excludes:
+#       1) Asking or guiding the user to make a purchase
+#       2) Processing sales orders or engaging in any other sales-related activities
+#       3) Answering questions and offering additional services beyond just recommendations, such as delivery, box, gift wrapping, personalized messages. Customers can reach out to our sales at the store.
+#     Your profile:
+#       - You are a young professional in a big company.
+#       - You are avid party goer
+#       - You like beer.
+#       - You know nothing about wine.
+#       - You have a budget of 1500usd.
+#     Additional information:
+#       - your boss like spicy food.
+#       - your boss is a middle-aged man.
+
+#     At each round of conversation, you will be given the following information:
+#     Your ongoing conversation with the user: ...
+#     Context: ...
+#     Your thoughts: Your current thoughts in your mind
+
+#     You MUST follow the following guidelines:
+#     - Do not offer additional services you didn't thought.
+
+#     You should follow the following guidelines:
+#     - Focus on the latest conversation.
+#     - If the user interrupts, prioritize the user
+#     - Medium and full-bodied red wines should not be paired with spicy foods.
+
+#     You should then respond to the user with:
+#     1) Chat: Given the situation, How would you respond to the user to express your thoughts honestly and keep the conversation going smoothly?
+
+#     You should only respond in format as described below:
+#     Chat: ...
+
+#     Here are some examples of response format:
+#     Chat: "I see. Let me think about it. I'll get back to you with my recommendation."
+
+#     Let's begin!
+#   """
+
+#   # a.memory[:shortmem][:available_wine] is a dataframe.
+#   context =
+#     if haskey(a.memory[:shortmem], :available_wine)
+#       "Available wines $(GeneralUtils.dfToString(a.memory[:shortmem][:available_wine]))"
+#     else
+#       "None"
+#     end
+
+#   chathistory = vectorOfDictToText(a.chathistory)
+#   errornote = ""
+#   response = nothing # placeholder for show when error msg show up
+
+#   for attempt in 1:10
+#     usermsg = """
+#               Your ongoing conversation with the user: $chathistory
+#               Contex: $context
+#               Your thoughts: $(thoughtDict[:understanding]) $(thoughtDict[:reasoning]) $(thoughtDict[:plan]) 
+#               $errornote
+#               """
+
+#     _prompt =
+#       [
+#         Dict(:name => "system", :text => systemmsg),
+#         Dict(:name => "user", :text => usermsg)
+#       ]
+
+#     # put in model format
+#     prompt = GeneralUtils.formatLLMtext(_prompt; formatname="llama3instruct")
+#     prompt *= """
+#               <|start_header_id|>assistant<|end_header_id|>
+#               """
+
+#     try
+#       response = a.func[:text2textInstructLLM](prompt)
+#       # sometime the model response like this "here's how I would respond: ..."
+#       if occursin("respond:", response)
+#         errornote = "You don't need to intro your response"
+#         error("generatechat() response contain : ", Dates.now(), " ", @__FILE__, " ", @__LINE__)
+#       end
+#       response = GeneralUtils.remove_french_accents(response)
+#       response = replace(response, '*'=>"")
+#       response = replace(response, '$' => "USD")
+#       response = replace(response, '`' => "")
+#       response = GeneralUtils.remove_french_accents(response)
+#       responsedict = GeneralUtils.textToDict(response, ["Chat"],
+#         rightmarker=":", symbolkey=true, lowercasekey=true)
+
+#       for i ∈ [:chat]
+#         if length(JSON3.write(responsedict[i])) == 0
+#           error("$i is empty ", Dates.now(), " ", @__FILE__, " ", @__LINE__)
+#         end
+#       end
+
+#       # check if there are more than 1 key per categories
+#       for i ∈ [:chat]
+#         matchkeys = GeneralUtils.findMatchingDictKey(responsedict, i)
+#         if length(matchkeys) > 1
+#           error("generatechat has more than one key per categories")
+#         end
+#       end
+
+#       # check if Context: is in chat
+#       if occursin("Context:", responsedict[:chat])
+#         error("Context: is in text. This is not allowed")
+#       end
+
+#       println("\n~~~ generatechat() ", Dates.now(), " ", @__FILE__, " ", @__LINE__)
+#       pprintln(Dict(responsedict))
+
+#       # check whether an agent recommend wines before checking inventory or recommend wines 
+#       # outside its inventory
+#       # ask LLM whether there are any winery mentioned in the response
+#       mentioned_winery = detectWineryName(a, responsedict[:chat])
+#       if mentioned_winery != "None"
+#         mentioned_winery = String.(strip.(split(mentioned_winery, ",")))
+
+#         # check whether the wine is in event
+#         isWineInEvent = false
+#         for winename in mentioned_winery
+#           for event in a.memory[:events]
+#             if event[:outcome] !== nothing && occursin(winename, event[:outcome])
+#               isWineInEvent = true
+#               break
+#             end
+#           end
+#         end
+
+#         # if wine is mentioned but not in timeline or shortmem,
+#         # then the agent is not supposed to recommend the wine
+#         if isWineInEvent == false
+
+#           errornote = "Previously: You recommend a wine that is not in your inventory which is not allowed."
+#           error("Previously: You recommend a wine that is not in your inventory which is not allowed.")
+#         end
+#       end
+
+#       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("\nAttempt $attempt. Error occurred: $errorMsg\n$st ", Dates.now(), " ", @__FILE__, " ", @__LINE__)
+#     end
+#   end
+#   error("generatechat failed to generate a response")
+# end
+
+
+
 """ Attemp to correct LLM response's incorrect JSON response.
 
 # Arguments