update

src/interface.jl

@@ -499,7 +499,7 @@ julia>
 function evaluator(state::T1, text2textInstructLLM::Function;
   addSQLVectorDB::Union{Function, Nothing}=nothing
   ) where {T1<:AbstractDict}
-
+  println("Evaluating state", @__FILE__, " ", @__LINE__)
   # systemmsg = 
   # """
   # You are a helpful assistant that analyzes agent's trajectories to find solutions and observations (i.e., the results of actions) to answer the user's questions.
@@ -982,7 +982,7 @@ function transition(state::T, args::NamedTuple
     if actionname == "listalltables"
       # deepcopy(state[:virtualCustomerChatHistory]) because I want to keep it clean
       # so that other simulation start from this same node is not contaminated with actioninput
-      listAllTable_json(executeSQLF)  # virtual customer
+      listAllTable_json(executeSQLF)
     elseif actionname == "TABLEINFO"
       input = copy(JSON3.read(actioninput))
       tableinfo(executeSQLF, input)
@@ -1002,7 +1002,7 @@ function transition(state::T, args::NamedTuple
   success::Bool = haskey(response, :success) ? response[:success] : false
   
   newNodeKey, newstate = makeNewState(state, thoughtDict, JSON3.write(result), select, reward, isterminal)
-
+  println("SQLLLM transition() 1 ", @__FILE__, " ", @__LINE__)
   progressvalue::Integer = evaluatorF(newstate, text2textInstructLLM; 
                                       addSQLVectorDB=addSQLVectorDBF)
 
@@ -1090,8 +1090,8 @@ function query(query::T, executeSQL::Function, text2textInstructLLM::Function;
   addSQLVectorDB::Union{Function, Nothing}=nothing, 
   querySQLVectorDB::Union{Function, Nothing}=nothing
   )::String where {T<:AbstractString}
-  # add extra context for Evaluator so that it knows the observation is from seaching a database
-  query = "Search the database for " * query
+  #[WORKING] add extra context for Evaluator so that it knows the observation is from seaching a database
+  query = "Search the database for {$query}"
   initialstate = Dict{Symbol, Any}(
     :reward=> 0,
     :isterminal=> false,