update

src/interface.jl

@@ -4,7 +4,8 @@ module interface
 export agentReact, agentReflex,
         addNewMessage, clearMessage, removeLatestMsg, conversation, directconversation, 
         writeEvaluationGuideline, grading, analyze, selfReflext, 
-        formulateUserresponse, extractinfo, updateEnvState, chat_mistral_openorca
+        formulateUserresponse, extractinfo, updateEnvState, chat_mistral_openorca, 
+        recap
 
 using JSON3, DataStructures, Dates, UUIDs, HTTP
 using CommUtils, GeneralUtils
@@ -128,7 +129,7 @@ function chat_mistral_openorca(a::agentReflex)
     $(a.roles[a.role])
     Your earlier talk with the user:
     $(a.earlierConversation)
-    <|/s|>
+    </s>
     $conversation
     <|assistant|>
   """
@@ -202,7 +203,7 @@ function planner_mistral_openorca(a::agentReflex)
     Your job is to do the following:
     Plan: first you should always think about your conversation with the user and your earlier work thoroughly then extract and devise a complete, task by task plan to achieve your objective (pay attention to correct numeral calculation and commonsense).
     P.S.1 each task of the plan should be a single action.
-    <|/s|>
+    </s>
     $conversation
     <|assistant|>
     Plan: 
@@ -256,7 +257,7 @@ function updatePlan(a::agentReflex)
     Plan: 1. Ask the user for their food type.
     Obs: It will be Thai dishes.
     Updated plan: 1. Ask the user for their food type (Thai dishes).
-    </s|>
+    </s>
     Updated plan: 
   """
 
@@ -304,7 +305,9 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
 
   shorttermMemory = dictToString(a.memory[:shortterm], skiplist=["user:"])
 
-  # conversation = messagesToString_nomark(a.messages, addressAIas="I")
+  # conversation = conversationSummary(a)
+  # println("")
+  # @show conversationSum = conversation
   
   # context = 
   # """
@@ -322,9 +325,9 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
       <Your plan>
       $(a.memory[:shortterm]["Plan 1:"])
       </Your plan>
-      <Your earlier work's recap>
+      <Your earlier work's recap in JSON format>
       $taskrecap
-      </Your earlier work's recap>
+      </Your earlier work's recap in JSON format>
       <Your job> 
       Use the following format:
       Thought: based on the plan and the recap of the plan, what to do? (pay attention to correct numeral calculation and commonsense).
@@ -332,16 +335,16 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
       Actinput: your input to the action based on your thought (pay attention to the tool's input)
       Obs: observed result of the action
 
-      P.S.1 ask user one by one question.
+      P.S.1 ask the user one by one question.
       </Your job>
-    <|/s|>
+    </s>
     <|assistant|>
     Thought: 
   """
   prompt = replace(prompt, "{toolnames}" => toolnames)
 
   println("")
-  @show prompt_actor = prompt
+  @show actor_prompt = prompt
 
   response = nothing
   chunkedtext = nothing
@@ -370,7 +373,7 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
     headers = detectCharacters(response, headerToDetect)
 
     println("")
-    @show response_actor = response
+    @show actor_response = response
 
     headerToDetect = ["Plan $(a.attempt):",
                       "Thought $latestTask:", 
@@ -925,7 +928,7 @@ function formulateUserresponse(a)
     $work
     
     From your talk with the user and your work, formulate a response for the user.
-    <|/s|>
+    </s>
     <|assistant|>
     response:
   """
@@ -1088,14 +1091,14 @@ function checkTaskCompletion(a)
       </Example 1>
 
       Let's think step by step.
-    </s|>
+    </s>
     <|assistant|> After 
   """
   response = nothing
   _response = nothing
   _response = sendReceivePrompt(a, prompt, max_tokens=512)
   @show checkTaskCompletion_raw = _response
-  _response = split(_response, "</s|>")[1]
+  _response = split(_response, "</")[1]
   _response = split(_response, "\n\n")[1]
   # response = "I " * split(_response, "{")[1]  # sometime response have more than 1 {answer: done}
 
@@ -1110,9 +1113,46 @@ function checkTaskCompletion(a)
 end
 
 function recap(a)
-  @show a.memory[:shortterm]["Plan 1:"]
   # stimulus = a.memory[:shortterm]["user:"]
-  work = dictToString(a.memory[:shortterm])
+  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)
+
+  # prompt =
+  # """
+  #   <|system|>
+  #     <Symbol meaning>
+  #     Plan: a plan
+  #     Thought: your thought
+  #     Act: the action you took
+  #     Actinput: the input to the action
+  #     Obs: the result of the action
+  #     </Symbol meaning>
+
+  #     <Your earlier work>
+  #     $work
+  #     </Your earlier work>
+  #     <Your job>
+  #     Recap: list all your observed results in detail
+  #     </Your job>
+
+  #     Let's think step by step.
+  #   </s>
+  #   <|assistant|>
+  #   Recap: 
+  # """
 
   prompt =
   """
@@ -1129,16 +1169,19 @@ function recap(a)
       $work
       </Your earlier work>
       <Your job>
-      Recap: list all your observed results in detail
+      Extract info: extract info in details from ALL Actinput and corresponding observed result into JSON format
       </Your job>
 
       Let's think step by step.
-    </s|>
+    </s>
     <|assistant|>
-    Recap: 
+    Extracted info: 
   """
+
   response = sendReceivePrompt(a, prompt, max_tokens=512, temperature=0.0)
-  response = split(response, "</s|>")[1]
+  response = split(response, "</")[1]
+  response = split(response, "<|")[1]
+  response = split(response, "\n\n")[1]
   
   return response
 end