From 11cae89eedfbe68e350359313fbfde498aa54ffc Mon Sep 17 00:00:00 2001
From: tonaerospace <tonaerospace.etc@gmail.com>
Date: Wed, 20 Dec 2023 00:21:49 +0000
Subject: [PATCH] update

---
 src/interface.jl | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/src/interface.jl b/src/interface.jl
index 59e0596..f19c687 100755
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -203,6 +203,7 @@ function planner_mistral_openorca(a::agentReflex)
     Plan: first you should always think about your conversation with the user and your earlier work thoroughly then extract and devise a complete, step by step plan to achieve your objective (pay attention to correct numeral calculation and commonsense).
     P.S.1 each step of the plan should be a single action.
     P.S.2 ask the user if you don't have info.
+    P.S.3 mark a completed step with done keyword.
     <|/s|>
     $conversation
     <|assistant|>
@@ -557,6 +558,24 @@ function conversation(a::agentReflex, usermsg::String; attemptlimit::Int=3)
   return response
 end
 
+""" Direct conversation is not an agent, messages does not pass through logic loop
+  but goes directly to LLM.
+  
+"""
+function directconversation(a::agentReflex, usermsg::String)
+  response = nothing
+
+  _ = addNewMessage(a, "user", usermsg)
+  if isusetools # use tools before responseing
+    workstate, response = work(a)
+  end
+
+  response = chat_mistral_openorca(a)
+  response = removeTrailingCharacters(response)
+  _ = addNewMessage(a, "assistant", response)
+  return response
+end
+
 """
   Continuously run llm functions except when llm is getting Answer: or chatbox.
   There are many work() depend on thinking mode.