diff --git a/src/interface.jl b/src/interface.jl
index 9c6be98..0a26f44 100755
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -477,202 +477,6 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
   return toolname, toolinput, chunkedtext
 end
 
-# function actor_mistral_openorca(a::agentReflex, taskrecap="")
-#   getonlykeys = ["Actinput", "Obs"]
-#   worknoplan = similar(a.memory[:shortterm])
-#   for (k, v) in a.memory[:shortterm]
-#     count = 0
-#     for i in getonlykeys
-#       if occursin(i, k) 
-#         count += 1
-#       end
-#     end
-#     if count != 0
-#       worknoplan[k] = v 
-#     end
-#   end
-
-#   work = dictToString(worknoplan)
-  
-  
-  
-#   """
-#     general prompt format:
-
-#     "
-#     <|im_start|>system
-#     {role}
-#     {tools}
-#     {thinkingFormat}
-#     <|im_end|>
-#     {context}
-#     <|im_start|>user
-#     {usermsg}
-#     <|im_end|>
-#     <|im_start|>assistant
-
-#     "
-
-#     Note:
-#       {context} = 
-#         "
-#         {earlierConversation}
-#         {env state}
-#         {shortterm memory}
-#         {longterm memory}
-#         "
-#   """
-#   #BUG BIG output from winestock cause recap() to fail. 
-#   #BUG2 LLM repeat winestock search without recommending wine
-#   toolnames = ""
-#   toollines = ""
-#   for (toolname, v) in a.tools
-#     toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
-#     toollines *= toolline
-#     toolnames *= "$toolname, "
-#   end
-
-#   # shorttermMemory = dictToString(a.memory[:shortterm], skiplist=["user:"])
-
-#   # conversation = conversationSummary(a)
-#   # println("")
-#   # @show conversationSum = conversation
-  
-#   # context = 
-#   # """
-#   # Your talk with the user:
-#   # $conversation
-#   # """
-
-#   start = "Thought"
-#   aware = ""
-#   if taskrecap != ""
-#     start = "Self-awareness"
-#     # aware = "Self-awareness: based on the recap, assess your progress against the plan then identify areas where you need to address."
-#     # aware = "Self-awareness: based on the recap and the plan, state your current understanding of the matter in details then identify areas where you need to address."
-#     aware = "Self-awareness: based on the recap, check your progress against the plan and assess the current situation to identify tasks that you need to address."
-#   end
-
-#   winestockResult = ""
-#   if a.winestockResult != ""
-#     winestockResult =
-#     """
-#     <winestock search result>
-#     $(a.winestockResult)
-#     </winestock search result>
-#     """
-#   end
-
-#   prompt = 
-#   """
-#     <|system|>
-#     $(a.roles[a.role])
-#       <You have access to the following tools>
-#       $toollines
-#       </You have access to the following tools>
-#       <Your plan>
-#       $(a.memory[:shortterm]["Plan 1:"])
-#       </Your plan>
-#       <Your earlier work's recap>
-#       $work
-#       </Your earlier work's recap>
-#       $winestockResult
-#       <Your job> 
-#       Use the following format:
-#       $aware
-#       Thought: based on the plan and self-awareness, What to do? (P.S.1 pay attention to correct numeral calculation and commonsense.)
-#       Act: an action to take based on your thought, must be one of [{toolnames}]
-#       Actinput: your input to the action based on your thought (pay attention to the tool's input)
-#       Obs: observed result of the action
-#       </Your job>
-#     </s>
-#     <|assistant|>
-#     $start: 
-#   """
-#   prompt = replace(prompt, "{toolnames}" => toolnames)
-
-#   println("")
-#   @show actor_prompt = prompt
-
-#   response = nothing
-#   chunkedtext = nothing
-#   latestTask = nothing
-
-#   tempcounter = 0.2
-#   while true  # while Thought or Act is empty, run actor again
-#     # tempcounter += 0.1
-#     @show tempcounter
-#     response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=tempcounter)
-#     response = splittext(response, ["Obs", "<|im_end|>"])
-    
-#     latestTask = shortMemLatestTask(a.memory[:shortterm]) +1
-    
-#     if start == "Thought"
-#       response = "Thought $latestTask: " * response
-#     else
-#       response = "Self-awareness $latestTask: " * response
-#     end
-
-#     headerToDetect = ["Question:", "Plan:", "Self-awareness:", "Thought:", 
-#                       "Act:", "Actinput:", "Obs:", "...", 
-#                       "Answer:", "Conclusion:", "Summary:"]
-    
-#     # replace headers with headers with correct attempt and task number
-#     response = replaceHeaders(response, headerToDetect, latestTask)  
-#     response = split(response, "<|")[1]
-#     response = split(response, "</")[1]
-    
-#     headers = detectCharacters(response, headerToDetect)
-
-#     println("")
-    
-
-#     headerToDetect = ["Plan $(a.attempt):",
-#                       "Self-awareness $latestTask:", 
-#                       "Thought $latestTask:", 
-#                       "Act $latestTask:", 
-#                       "Actinput $latestTask:", 
-#                       "Obs $latestTask:",
-#                       "Check $latestTask:",]
-#     headers = detectCharacters(response, headerToDetect)
-#     chunkedtext = chunktext(response, headers) 
-
-#     # assuming length more than 10 character means LLM has valid thinking
-#     @show iskey_Thought = haskey(chunkedtext, "Thought $latestTask:")
-#     @show iskey_Act = haskey(chunkedtext, "Act $latestTask:")
-#     @show iskey_Actinput = haskey(chunkedtext, "Actinput $latestTask:")
-#     if iskey_Thought && iskey_Act && iskey_Actinput
-#       if chunkedtext["Thought $latestTask:"] != " " && chunkedtext["Act $latestTask:"] != " " &&
-#         length(chunkedtext["Actinput $latestTask:"]) > 5
-#         break
-#       end
-#     end
-#   end
-  
-#   toolname = toolNameBeingCalled(chunkedtext["Act $latestTask:"], a.tools)
-#   toolinput = chunkedtext["Actinput $latestTask:"]
-
-#   # change trailing number to continue a.memory[:shortterm]
-#   headerToDetect = ["Question:", "Plan:", "Self-awareness:", "Thought:", 
-#                       "Act:", "Actinput:", "Obs:", "...", 
-#                       "Answer:", "Conclusion:", "Summary:"]
-#   response = replaceHeaders(response, headerToDetect, latestTask)
-#   println("")
-#   @show actor_response = response
-#   headerToDetect = ["Plan $(a.attempt):",
-#                       "Thought $latestTask:", 
-#                       "Act $latestTask:", 
-#                       "Actinput $latestTask:", 
-#                       "Obs $latestTask:",
-#                       "Check $latestTask:",]
-#   headers = detectCharacters(response, headerToDetect)
-#   chunkedtext = chunktext(response, headers)
-#   chunkedtext = delete!(chunkedtext, "Self-awareness $latestTask")
-
-#   return toolname, toolinput, chunkedtext
-# end
-
-
 
 """
   Chat with llm.