update

src/interface.jl

@@ -276,7 +276,7 @@ function planner_mistral_openorca(a::agentReflex)
     """
     <|im_start|>system
     $(a.roles[a.role])
-    The info you need from the user to be able to help them selecting their best wine:
+    The required info you must ask the user:
         - type of food
         - occasion
         - user's personal taste of wine
@@ -290,17 +290,16 @@ 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 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 make sure you gather all the required information.
+    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).
     <|im_end|>
     $conversation
     <|im_start|>assistant
     Objective: 
     """
+    # p.s.1 each step of the plan should be a single action.
     # p.s.2 the last step should be about responding.
 
-    result = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=1024, temperature=0.2)
+    result = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=1024, temperature=0.1)
     @show raw_plan = result
     x = split(result, "<|im_end|>")[1]
     x = split(x, "Step")[1]
@@ -1050,7 +1049,7 @@ function actor(a::agentReflex)
         actorState = toolname
         break
       elseif toolname == "skipstep"
-        # skip
+        a.step += 1
       else  # function call
         f = a.tools[toolname][:func]
         toolresult = f(a, toolinput)
@@ -1312,28 +1311,26 @@ julia> report = formulateUserresponse(agent, shorttermMemory)
 ```
 """
 function formulateUserresponse(a)
-  stimulus = a.memory[:shortterm]["user:"]  #BUG no "user" key
-
-  work = dictToString(a.memory[:shortterm], ["user:"])
+  conversation = messagesToString_nomark(a.messages, addressAIas="I")
+  work = dictToString(a.memory[:shortterm])
 
   prompt =
   """
     <|im_start|>system
     Symbol:
-    Stimulus: the input user gives to you and you must response
     Plan: a plan
     Thought: your thought
     Act: the action you took
     Actinput: the input to the action
     Obs: the result of the action
 
-    Stimulus:
-    $stimulus
+    Your talk with the user:
+    $conversation
 
     Your work:
     $work
     
-    From your work, formulate a response for user's stimulus.
+    From your talk with the user and your work, formulate a response for the user.
     <|im_end|>
     response: 
   """
@@ -1368,7 +1365,7 @@ julia> shorttermMemory = OrderedDict{String, Any}(
 julia> decision = goNogo(agent)
 "Yes"
 ```
-""" #WORKING add choice skip, if LLM already completed the step
+"""
 function goNogo(a)
   # stimulus = a.memory[:shortterm]["user:"]
   work = dictToString(a.memory[:shortterm])

src/utils.jl

@@ -396,7 +396,7 @@ function isUseTools(a::agentReflex)
   Your conversation with the user:
   $conversation
 
-  From the user's message, ask yourself what do you intend to do now?
+  From the conversation, ask yourself what do you intend to do now?
   <|im_end|>
   
   """