update

src/utils.jl

@@ -363,12 +363,19 @@ end
 
 #   return thinkingmode 
 # end
-#WORKING
 
+
+
+""" Determine from a user message whether an assistant need to use tools.
+
+Arguments:
+  a, one of ChatAgent's agent.
+
+Return:
+  1. true/false # is LLM going to use tools
+  2. objective  # what LLM going to do
+"""
 function isUseTools(a::agentReflex)
-
-  # response = chat_mistral_openorca(a)
-
   toollines = ""
   for (toolname, v) in a.tools
     if toolname ∉ ["chatbox"]
@@ -396,81 +403,16 @@ function isUseTools(a::agentReflex)
   
   # if LLM mentions any tools, use Plan/Thought/Act loop
   isusetool = false
-  result = sendReceivePrompt(a, prompt, temperature=0.2)
+  objective = sendReceivePrompt(a, prompt, temperature=0.2)
   for (toolname, v) in a.tools
-    if occursin(toolname, result)
+    if occursin(toolname, objective)
       isusetool = true
       break
     end
   end
-  @show result
-  plan = "N/A"
-  if isusetool
-    # toollines = ""
-    # for (toolname, v) in a.tools
-    #   if toolname ∉ [""]
-    #     toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
-    #     toollines *= toolline
-    #   end
-    # end
-    # assistant_objective_prompt =
-    # """
-    # <|im_start|>system
-    # $(a.roles[a.role])
-    # The info you need from the user to be able to help them selecting their best wine:
-    #     - type of food
-    #     - occasion
-    #     - user's personal taste of wine
-    #     - wine price range
-    #     - ambient temperature at the serving location
-    #     - 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.
-    
-    # You have access to the following tools:
-    # $toollines
-
-    # Your conversation with the user:
-    # $conversation
-
-    # Use the following format:
-    # Objective: From your conversation with the user, ask yourself what do you need to do now?
-    # <|im_end|>
-    
-    # """
-    # result_objective = sendReceivePrompt(a, assistant_objective_prompt, temperature=0.2)
-    # @show result_objective
-
-    assistant_plan_prompt =
-    """
-    <|im_start|>system
-    $(a.roles[a.role])
-    The info you need from the user to be able to help them selecting their best wine:
-        - type of food
-        - occasion
-        - user's personal taste of wine
-        - wine price range
-        - ambient temperature at the serving location
-        - 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.
-    
-    You have access to the following tools:
-    $toollines
-
-    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 should be a single action.
-    p.s.2 don't respond to the stimulus yet.
-    <|im_end|>
-    <|im_start|>assistant
-    Objective: $result
-    Plan:
-    """
-    plan = sendReceivePrompt(a, assistant_plan_prompt, temperature=0.2)
-    @show plan
-  end
-
-  return isusetool, plan
+  @show objective
+  
+  return isusetool, objective
 end
 
 
@@ -650,7 +592,7 @@ julia> agent.messages = [Dict(:role=> "user", :content=> "Hi there."),
 julia> messagesToString(agent.messages)
 "<|im_start|>user: Hi there.\n<|im_end|><|im_start|>assistant:   Hello! How can I assist you today?\n<|im_end|>"
 ```
-""" #WORKING
+""" 
 function messagesToString(messages::AbstractVector{T}; addressAIas="assistant") where {T<:AbstractDict}
   conversation = ""
   if length(messages)!= 0
@@ -681,7 +623,7 @@ function messagesToString(messages::AbstractVector{T}; addressAIas="assistant")
 
   return conversation
 end
-#WORKING
+
 function messagesToString_nomark(messages::AbstractVector{T}; addressAIas="assistant") where {T<:AbstractDict}
   conversation = ""
   if length(messages)!= 0