update

src/interface.jl

@@ -1,52 +1,15 @@
 module interface
 
-export addNewMessage, conversation, decisionMaker, reflector, generatechat,
+export prompt
-  generalconversation, detectWineryName, generateSituationReport
 
 using JSON, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization,
       DataFrames, Serde
 using GeneralUtils
 using ..type, ..util, ..llmfunction
 
-# ------------------------------------------------------------------------------------------------ #
-#                                        pythoncall setting                                        #
-# ------------------------------------------------------------------------------------------------ #
-# Ref: https://github.com/JuliaPy/PythonCall.jl/issues/252
-# by setting the following variables, PythonCall.jl will use:
-#     1. system's python and packages installed by system (via apt install)
-# or  2. conda python and packages installed by conda
-# if these setting are not set (comment out), PythonCall will use its own python and packages that
-# installed by CondaPkg.jl (from env_preparation.jl)
-# ENV["JULIA_CONDAPKG_BACKEND"] = "Null"      # set condapkg backend = none
-# systemPython = split(read(`which python`, String), "\n")[1]     # system's python path
-# ENV["JULIA_PYTHONCALL_EXE"] = systemPython  # find python location with $> which python  ex. raw"/root/conda/bin/python"
-
-# using PythonCall
-# const py_agents = PythonCall.pynew()
-# const py_llms = PythonCall.pynew()
-# function __init__()
-#     # PythonCall.pycopy!(py_cv2, pyimport("cv2"))
-
-#     # equivalent to     from urllib.request import urlopen    in python
-#     PythonCall.pycopy!(py_agents, pyimport("langchain.agents"))
-#     PythonCall.pycopy!(py_llms, pyimport("langchain.llms"))
-# end
-
 # ---------------------------------------------- 100 --------------------------------------------- #
 
 
-macro executeStringFunction(functionStr, args...)
-  # Parse the function string into an expression
-  func_expr = Meta.parse(functionStr)
-
-  # Create a new function with the parsed expression
-  function_to_call = eval(Expr(:function,
-    Expr(:call, func_expr, args...), func_expr.args[2:end]...))
-
-  # Call the newly created function with the provided arguments
-  function_to_call(args...)
-end
-
 
 
 """ Think and choose action

src/type.jl

@@ -166,7 +166,9 @@ end
 # Agent struct
 # ============================================================================
 
-mutable struct yiemAgent                      # High-level agent wrapper
+abstract type agent end 
+
+mutable struct yiemAgent <: agent             # High-level agent wrapper
   _state::agentState                          # Current state (prompt, model, messages, tools, etc.)
   
   input_ch::Channel                           # user sends prompt message to agent.