update

src/interface.jl

@@ -276,12 +276,12 @@ function planner_mistral_openorca(a::agentReflex)
     """
     <|im_start|>system
     $(a.roles[a.role])
-    The required info you must ask the user:
-        - type of food
-        - occasion
-        - user's personal taste of wine
-        - wine price range
-        - ambient temperature at the serving location
+    The required info you need for wine recommendation:
+        - type of food: ask the user
+        - occasion: ask the user
+        - user's personal taste of wine: ask the user
+        - wine price range: ask the user
+        - ambient temperature at the serving location: ask the user
         - wines we have in stock
     You provide a personalized recommendation of up to two wines based on the user's info above, and you describe the benefits of each wine in detail.
     
@@ -290,9 +290,10 @@ function planner_mistral_openorca(a::agentReflex)
 
     Use the following format:
     Objective: the objective you intend to do
-    Plan: first you should always think about the objective, the info you need and the info you have thoroughly then extract and devise a complete, step by step plan (pay attention to correct numeral calculation and commonsense).
+    Aware: ask yourself what info you don't have?
+    Plan: first you should always think about the objective, the info you have, the info you don't have and  thoroughly then extract and devise a complete, step by step plan (pay attention to correct numeral calculation and commonsense).
     p.s.1 each step of the plan should be a single action.
-    p.s.2 it is better to ask all you need to know and then search your inventory.
+    p.s.2 ask the user all you need to know and then search your inventory.
     <|im_end|>
     $conversation
     <|im_start|>assistant
@@ -671,14 +672,14 @@ function work(a::agentReflex)
         a.memory[:log]["response $(a.attempt):"] = response
 
         # evaluate. if score > 6/10 good enough.
-        guideline = writeEvaluationGuideline(a, a.memory[:shortterm]["user:"])
+        guideline = writeEvaluationGuideline(a, objective)
 
         println("")
         @show guideline
 
         score = grading(a, guideline, response)
         @show score
-        if score > 6 # good enough answer
+        if score > 5 # good enough answer
           break
         else  # self evaluate and reflect then try again
           analysis = analyze(a)
@@ -1212,7 +1213,7 @@ julia> report = analyze(agent, shorttermMemory)
 ```
 """
 function analyze(a)
-  shorttermMemory = dictToString(a.memory[:shortterm], ["user:"])
+  shorttermMemory = dictToString(a.memory[:shortterm])
   prompt =
   """
     <|im_start|>system