update

src/interface.jl

@@ -76,35 +76,7 @@ OrderedDict{String, Any} with 4 entries:
 function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
   ) where {T<:agent}
   @info "YiemAgent decisionMaker() start " @__LINE__
-  # lessonDict = copy(JSON.parsefile("lesson.json"))
 
-  # lesson =
-  # if isempty(lessonDict)
-  #   ""
-  # else
-  #   lessons = Dict{String, Any}()
-  #   for (k, v) in lessonDict
-  #     lessons[k] = lessonDict[k][:lesson]
-  #   end
-
-  #   """
-  #   You have attempted to help the user before and failed, either because your reasoning for the 
-  #   recommendation was incorrect or your response did not exactly match the user expectation. 
-  #   The following lesson(s) give a plan to avoid failing to help the user in the same way you 
-  #   did previously. Use them to improve your strategy to help the user.
-
-  #   Here are some lessons in JSON format:
-  #   $(JSON.json(lessons))
-
-  #   When providing the thought and action for the current trial, that into account these failed 
-  #   trajectories and make sure not to repeat the same mistakes and incorrect answers. 
-  #   """
-  # end
-
-  # recentevents_ind = GeneralUtils.recentElementsIndex(
-  #   length(a.memory["events"]), recentevents; includelatest=true)
-
-  requiredKeys = ["plan", "action_name", "action_input"]
   context = 
     """
     <internal_context_for_assistant>
@@ -173,7 +145,7 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
           "properties"=> Dict(
             "think"=> Dict(
               "type"=> "string",
-              "description"=> "your thought"
+              "description"=> "Your step-by-step reasoning process. Explain why you are choosing this action."
               ),
             "action_name"=> Dict(
               "type"=> "string",
@@ -181,8 +153,13 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
               "description"=> "one of the available actions"
               ),
             "action_input"=> Dict(
-              "type"=> "string",
-              "description"=> "action's input"
+              "type"=> "object",
+              "properties"=> Dict(
+                "dialogue"=> Dict("type"=> "string", "description"=> "for CHAT_BOX"),
+                "query"=> Dict("type"=> "string", "description"=> "for SEARCH_WINE_DATABASE"),
+                "present_guide"=> Dict("type"=> "null", "description"=> "for WINE_PRESENTATION_GUIDELINE"),
+                "endconv_guide"=> Dict("type"=> "null", "description"=> "for END_CONVER_GUIDELINE"),
+                )
               ),
           ),
           "required"=> ["think", "action_name", "action_input"],
@@ -208,6 +185,13 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
     end
 
     responsedict = JSON.parse(response)
+    # println("\nYiem decisionMaker() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
+    # pprintln(responsedict)
+
+    # for decision that use a single action. make it simpler
+    for (k, v) in responsedict["action_input"]
+      responsedict["action_input"] = v
+    end
 
     if occursin("CHAT_BOX", responsedict["action_input"])
       println("\nERROR YiemAgent decisionMaker() --(not qualify response)> $responsedict ", @__FILE__, ":", @__LINE__, " $(Dates.now())\n")
@@ -220,8 +204,8 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=3
       continue
     end
 
-    # println("\nYiem decisionMaker() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
-    # pprintln(responsedict)
+    println("\nYiem decisionMaker() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
+    pprintln(responsedict)
     @info "YiemAgent decisionMaker() end " @__LINE__
     return responsedict
   end