update

src/llmfunction.jl

@@ -190,7 +190,7 @@ pushfirst!(virtualCustomerChatHistory, Dict("name"=> "system", "text"=> systemms
     push!(chathistory, newdict)
   end
 
-  push!(chathistory, Dict("name"=> "assistant", "text"=> input))
+  push!(chathistory, Dict("name"=> "assistant", "text"=> input))
 
   # put in model format
   prompt = formatLLMtext(chathistory, "llama3instruct")
@@ -309,7 +309,8 @@ function checkwine(a::T1, input::T2; maxattempt::Int=3
     inventoryquery = "Retrieves $retrieve_attributes of wines that match the following criteria - {$_inventoryquery}"
     println("\ncheckinventory input: $inventoryquery ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
     # add suppport for similarSQLVectorDB
-    textresult, rawresponse = SQLLLM.query(inventoryquery, 
+    textresult, rawresponse = SQLLLM.query(
+                          inventoryquery, 
                           a.context.executeSQL, 
                           a.context.text2textInstructLLM;
                           insertSQLVectorDB=a.context.insertSQLVectorDB, 
@@ -546,7 +547,7 @@ function extractWineAttributes_1(a::T1, input::T2; maxattempt=10
         if j == :wine_price
 if responsedict["wine_price"] != "N/A" 
             if !occursin("to", responsedict["wine_price"]) 
-              errornote = "In your previous attempt, the 'wine_price' was set to $(responsedict["wine_price"]) which is not a correct format. Please adjust it accordingly."
+              errornote = "In your previous attempt, the 'wine_price' was set to $(responsedict["wine_price"]) which is not a correct format. Please adjust it accordingly."
               println("\nERROR YiemAgent extractWineAttributes_1() $errornote ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
               checkFlag = true
               break
@@ -1006,7 +1007,7 @@ function jsoncorrection(config::T1, input::T2, correctJsonExample::T3;
 externalService = config["externalservice"]["text2textinstruct"]
       llminfo = externalService["llminfo"]
       prompt = 
-      if llminfo["name"] == "llama3instruct"
+      if llminfo["name"] == "llama3instruct"
         formatLLMtext_llama3instruct("system", _prompt)
       else
         error("llm model name is not defied yet $(@__LINE__)")
@@ -1053,7 +1054,7 @@ end
 #   “action_name” is the name of the action taken, which can be one of the following functions:
 #       1) CHATBOX[text], which you can use to talk with the user. "text" is in verbal English. 
 #       2) WINESTOCK[query], which you can use to find info about wine in your inventory. "query" is a search term in verbal English. The best query must includes "budget", "type of wine", "characteristics of wine" and "food pairing".
-#   "actioninput" is the input to the action
+#   "action_input" is the input to the action
 #   "observation" is result of the preceding immediate action.
 
 #   At each round of conversation, the user will give you: