update

src/interface.jl

@@ -805,8 +805,6 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
     winestocksearchresult = "\n"
   end
 
-  #WORKING I need a llm json read function
-
   # prompt = 
   # """
   #   <|system|>
@@ -864,7 +862,7 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
       </You have access to the following tools>
       <Your job> 
         Use the following format:
-        Thought: considering what you know about the user and your plan thoroughly then you should think about what to do next by prioritize what you don't know first. (PS. 1. let's think a single step. 2. pay attention to correct numeral calculation and commonsense.)
+        Thought: considering what you know about the user and your plan thoroughly then you should think about what to do next by prioritize what you don't know (null means don't know) first. (PS. 1. let's think a single step. 2. pay attention to correct numeral calculation and commonsense.)
         Act: based on your thought what action to choose?, must be one of [{toolnames}].
         Actinput: your input to the action (pay attention to the tool's input)
         Obs: observed result of the action
@@ -1024,15 +1022,19 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
 
 
   # because tools has JSON input but sometime LLM output is not JSON, we need to check.
-  if occursin("{", toolinput)
+  if occursin("{", toolinput) #WORKING
     act = GeneralUtils.getStringBetweenCharacters(response, '{', '}', endCharLocation="end")
-    act = copy(JSON3.read(act))
-    chunkedtext["Actinput $latestTask:"] = JSON3.write(act[Symbol(toolname)])
-    toolinput = act[Symbol(toolname)]
+    println("")
+    @show act
+    act = GeneralUtils.JSON3read_stringKey(act)  #copy(JSON3.read(act)) 
+    chunkedtext["Actinput $latestTask:"] = JSON3.write(act[toolname])
+    toolinput = act[toolname]
   end
   
 
   chunkedtext["Act $latestTask:"] = toolname
+
+
   
   return (toolname=toolname, toolinput=toolinput, chunkedtext=chunkedtext, selfaware=selfaware)
 end

src/llmfunction.jl

@@ -86,8 +86,8 @@ end
   julia> score = grading(agent, guideline, shorttermMemory)
   ```
 """
-function winestock(a::agentReflex, actorResult::NamedTuple)
-  query = JSON3.write(actorResult[:toolinput])
+function winestock(a::agentReflex, input::NamedTuple)
+  query = JSON3.write(input[:toolinput])
   @show query
   prompt = 
   """
@@ -105,9 +105,9 @@ function winestock(a::agentReflex, actorResult::NamedTuple)
         Fortified = table for wine type "fortified"
       Intensity level:
         intensity = 1, light bodied
-        intensity = 2, light-medium bodied
+        intensity = 2, semi-light bodied
         intensity = 3, medium bodied
-        intensity = 4, medium-full bodied
+        intensity = 4, semi-full bodied
         intensity = 5, full bodied
       Sweetness level:
         sweetness = 1, dry
@@ -117,15 +117,15 @@ function winestock(a::agentReflex, actorResult::NamedTuple)
         sweetness = 5, very sweet
       Tannin level:
         tannin = 1, low tannin
-        tannin = 2, low-medium tannin
+        tannin = 2, semi-low tannin
         tannin = 3, medium tannin
-        tannin = 4, medium-high tannin
+        tannin = 4, semi-high tannin
         tannin = 5, high tannin
       Acidity level:
         acidity = 1, low acidity
-        acidity = 2, low-medium acidity
+        acidity = 2, semi-low acidity
         acidity = 3, medium acidity
-        acidity = 4, medium-high acidity
+        acidity = 4, semi-high acidity
         acidity = 5, high acidity
       </You have the following conversion table>
       <Your job>