use JSON instead

example/main.jl

@@ -1,4 +1,4 @@
-using JSON, JSON3, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures
+using JSON, JSON, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures
 using YiemAgent, GeneralUtils
 using Base.Threads
 
@@ -34,7 +34,7 @@ using Base.Threads
 
 
 # load config
-config = copy(JSON3.read("../mountvolume/config/config.json"))
+config = copy(JSON.parsefile("../mountvolume/config/config.json"))
 
 """ Instantiate an agent. One need to specify startmessage and one of gpu location info,  
   Mqtt or Rest. start message must be comply with GeneralUtils's message format
@@ -254,7 +254,7 @@ function runAgentInstance(
       println("\n~~~ found similar decision. row id $rowid, distance $distance ", @__FILE__, " ", @__LINE__)
       output_b64 = df[1, :function_output_base64]   # pick the closest match
       _output_str = String(base64decode(output_b64))
-      output = copy(JSON3.read(_output_str))
+      output = copy(JSON.parsefile(_output_str))
       return output
     else
       println("\n~~~ similar decision not found, max distance $maxdistance ", @__FILE__, " ", @__LINE__)
@@ -274,7 +274,7 @@ function runAgentInstance(
     if row == 0 || distance > maxdistance # no close enough SQL stored in the database
       recentevents_embedding = getEmbedding(recentevents)[1]
       recentevents = replace(recentevents, "'" => "")
-      decision_json = JSON3.write(decision)
+      decision_json = JSON.json(decision)
       decision_base64 = base64encode(decision_json)
       decision = replace(decision_json, "'" => "")
       
@@ -431,12 +431,12 @@ function runAgentInstance(
       lastAssistantAction = agent.memory[:events][end][:thought][:action_name]
       if lastAssistantAction == "ENDCONVERSATION"    # store thoughtDict
 
-        # save a.memory[:shortmem][:decisionlog] to disk using JSON3
+        # save a.memory[:shortmem][:decisionlog] to disk using JSON
         println("\nsaving agent.memory[:shortmem][:decisionlog] to disk")
         filename = "agent_decision_log_$(Dates.now())_$(agent.id).json"
         filepath = "/appfolder/app/log/$filename"
         open(filepath, "w") do io
-          JSON3.pretty(io, agent.memory[:shortmem][:decisionlog])
+          JSON.pretty(io, agent.memory[:shortmem][:decisionlog])
         end
         
         # for (i, event) in enumerate(agent.memory[:events])
@@ -520,7 +520,7 @@ keepaliveChannel::Channel{Dict} = Channel{Dict}(8)
 
 # Define the callback for receiving messages.
 function onMsgCallback_1(topic, payload)
-  jobj = JSON3.read(String(payload))
+  jobj = JSON.parsefile(String(payload))
   incomingMqttMsg = copy(jobj)  # convert json object into julia dictionary recursively
 
   if occursin("keepalive", topic)