update docstring

src/interface.jl

@@ -129,12 +129,13 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
 
   context = 
     """
-    <internal_context_for_LLM>
+    <internal_context_for_assistant>
       $(a.memory["scratchpad"])
-    </internal_context_for_LLM>
+    </internal_context_for_assistant>
     """
 
-  #WORKING add context to the latest message (in the front)
+  #WORKING add context to text of the latest message (in the front). 
+  # use for loop because in openai format, each msg may contain both text and image. 
   for d in enumerate(a.chathistory[end]["content"])
     if d["type"] == "text"
       d["text"] = context * d["text"]
@@ -149,17 +150,13 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
     if attempt > 1
       println("\nYiemAgent decisionMaker() attempt $attempt/$maxattempt ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     end
-    
-    unformatPrompt =
-      [
-        Dict("name" => "system", "text" => systemmsg),
-      ]
 
-    unformatPrompt = vcat(unformatPrompt, recentEvents)
-    # put in model format
-    prompt = GeneralUtils.formatLLMtext(unformatPrompt, a.llmFormatName)
-    # add info
-    prompt = prompt * context
+    openai_msg = Dict(
+      "model" => "gemma-4-E4B-it-UD-Q4_K_XL",
+      "messages" => a.chathistory,
+      "temperature" => 0.7
+    )
+
 
     response = a.context.text2textInstructLLM(prompt; senderId=a.id)
     response = GeneralUtils.deFormatLLMtext(response, a.llmFormatName)