add context

src/interface.jl

@@ -93,7 +93,7 @@ julia> output_thoughtDict = Dict(
   - [] use customerinfo
   - [] user storeinfo
 
-""" #WORKING
+""" 
 function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
   ) where {T<:agent}
   println("\nExecuting YiemAgent decisionMaker()")
@@ -127,6 +127,20 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
 
   requiredKeys = ["plan", "actionname", "actioninput"]
 
+  context = 
+    """
+    <internal_context_for_LLM>
+      $(a.memory["scratchpad"])
+    </internal_context_for_LLM>
+    """
+
+  #WORKING add context to the latest message (in the front)
+  for d in enumerate(a.chathistory[end]["content"])
+    if d["type"] == "text"
+      d["text"] = context * d["text"]
+      break
+    end
+  end
   errornote = "N/A"
   response = nothing # placeholder for show when error msg show up
 
@@ -279,7 +293,6 @@ function decisionMaker(a::T; recentevents::Integer=20, maxattempt=10
     return responsedict
   end
   error("DecisionMaker failed to generate a thought ", response)
-  end
 end
 
 

src/type.jl

@@ -321,16 +321,30 @@ function virtualcustomer(
     )
 
   """ Memory
-    Ref: Chat prompt format https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/discussions/3
+    Ref: Chat prompt format is openai
-    NO "system" message in chathistory because I want to add it at the inference time
+    chathistory = [
-    chathistory= [
+      Dict(
-      Dict("name"=>"user", "text"=> "Wassup!", "timestamp"=> Dates.now()),
+        "role" => "system",
-      Dict("name"=>"assistant", "text"=> "Hi I'm your assistant.", "timestamp"=> Dates.now()),
+        "content" => [
+          Dict("type" => "text", "text" => system_msg),
+        ]
+      ),
+      Dict(
+        "role" => "user",
+        "content" => [
+          Dict("type" => "text", "text" => "Do you know this wine? Just give me brief intro."),
+          Dict(
+            "type" => "image_url",
+            "image_url" => Dict("url" => data1_uri)
+          )
+        ]
+      )
     ]
   """
   memory = Dict{String, Any}(
             "shortmem"=> OrderedDict{String, Any}(
             ),
+            "scratchpad"=> "",
             "events"=> Vector{Dict{String, Any}}(),
             "state"=> Dict{String, Any}(
             ),