update

src/interface.jl

@@ -255,7 +255,7 @@ function decisionMaker(a::T)::Dict{Symbol, Any} where {T<:agent}
     5) mentioning_wine: Are you mentioning specific wine name to the user? Can be "Yes" or "No"
 
     You should only respond in format as described below:
-    thought: Let's think step by step. In order to ...
+    thought: ...
     plan: ...
     action_name: ...
     action_input: ...
@@ -1100,7 +1100,7 @@ function think(a::T)::NamedTuple{(:actionname, :result), Tuple{String, String}}
     elseif actionname == "PRESENTBOX"
       x = """
           1) Introduce $actioninput in details for the user to choose."
-          2) compare each option against the others in details and explain why each one is a suitable match for the user's specific needs.
+          2) Comprehensively compare each option against the others and explain why each one is a suitable match for the user's specific needs.
           """
       (result=x, errormsg=nothing, success=true)
     elseif actionname == "ENDCONVERSATION"
@@ -1292,6 +1292,7 @@ function generatechat(memory::Dict, chathistory::Vector, text2textInstructLLM::F
 
   Your responsibility does not include:
   1) Processing sales orders or engaging in any other sales-related activities.
+  2) Ordering the wines.
 
   At each round of conversation, you will be given the current situation:
   Your conversation with the user: ...
@@ -1307,7 +1308,7 @@ function generatechat(memory::Dict, chathistory::Vector, text2textInstructLLM::F
   You should then respond to the user with:
   1) chat: Given the situation, what would you say to convey your thoughts to the user?
   2) mentioning_wine: Are you mentioning specific wine name to the user? Can be "Yes" or "No"
-  3) note: Put everything you want to add here
+  3) note: Put everything you want to add here. Otherwise, put "NA"
 
   You should only respond in format as described below:
   chat: ...
@@ -1599,9 +1600,9 @@ function generatequestion(a, text2textInstructLLM::Function)::String
 
     You should then respond to the user with:
     1) thought: State your reasoning about the current situation
-    2) Q: Given the situation, "ask yourself" about the situation at least two, but no more than five, questions.
+    2) Q: Given the situation, "ask yourself" about the situation at least three, but no more than ten, questions.
     3) A: Given the situation, "answer to yourself" the best you can
-    4) note: Put everything you want to add here
+    4) note: Additional info you want to say. Otherwise, "NA"
 
     Here are some examples:
     Q: The user is asking for a cappuccino. Do I have it at my cafe?
@@ -1611,18 +1612,18 @@ function generatequestion(a, text2textInstructLLM::Function)::String
     Q: Are they allergic to milk?
     A: Since they mentioned a cappuccino before, I think they are not allergic to milk.
     Q: Do I search the database yet?
-    A: I've searched the database and found ... 
+    A: Not yet. 
     Q: Did I introduce the wines to the user yet?
     A: Not yet. I will introduce the wines now.
 
     You must only respond in format as described below:
-    thought: ... , In order to ..., I should ask myself the following questions.
-    Q_1: ...
-    A_1: ...
-    Q_2: ...
-    A_2: ...
-    Q_3: ...
-    A_3: ...
+    thought: ...
+    Q1: ...
+    A1: ...
+    Q2: ...
+    A2: ...
+    Q3: ...
+    A3: ...
     ...
     note: ...
 
@@ -1663,15 +1664,15 @@ function generatequestion(a, text2textInstructLLM::Function)::String
 
     try
       response = text2textInstructLLM(prompt)
-      q_number = count("Q_", response)
-      if q_number < 1
+      q_number = count("Q", response)
+      if q_number < 3
         error("too few questions only $q_number questions are generated ", @__FILE__, " ", @__LINE__)
       end
       # response = string(split(response, "Please")[1]) # LLM usually add comments which is no need.
       responsedict = GeneralUtils.textToDict(response,
-                        ["thought", "Q_1", "note"], 
+                        ["thought", "Q1", "note"], 
                         rightmarker=":", symbolkey=true)
-      response = "Q_1: " * responsedict[:Q_1]
+      response = "Q1: " * responsedict[:Q1]
       println("--> generatequestion ", @__FILE__, " ", @__LINE__)
       pprintln(response)
       return response
@@ -1713,7 +1714,7 @@ function generateSituationReport(a, text2textInstructLLM::Function)::Dict
   systemmsg = 
   """
     You are the assistant being in the given events. 
-    Your task is to writes a summary for each event in an ongoing series.
+    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.

test/runtest.jl

@@ -123,7 +123,40 @@ main()
 
 
 
+error("test done")
 
 
 
 
+function run_with_timeout(f, args...; timeout=5)
+  result = Ref{Any}()
+  task = Threads.@spawn try
+      result[] = f(args...)
+  catch e
+      println("Task interrupted: ", e)
+  end
+
+  Timer(timeout) do _
+      if !istaskdone(task)
+          schedule(task, InterruptException())
+          println("Task did not complete in time. Aborting.")
+      else
+          println("Task completed within the timeout.")
+      end
+  end
+
+  return result[]
+end
+
+# Example function that takes arguments and returns a value
+function example_function(x, y)
+  sleep(10)  # Simulate a long-running task
+  return x + y
+end
+
+# Example usage
+result = run_with_timeout(example_function, 3, 4; timeout=5)
+println("Result: ", result)
+
+
+