update

src/interface.jl

@@ -220,7 +220,7 @@ function planner_mistral_openorca(a::agentReflex)
     Plan: 
     """
 
-  plan = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=512, temperature=0.1, stopword=["<|", "</"])
+  plan = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=256, temperature=0.1, stopword=["<|", "</"])
   plan = split(plan, "<|")[1]
   # plan = split(plan, "\n\n")[1]
 
@@ -272,7 +272,7 @@ function updatePlan(a::agentReflex)
     Updated plan: 
   """
 
-  result = sendReceivePrompt(a, prompt, max_tokens=512, temperature=0.1)
+  result = sendReceivePrompt(a, prompt, max_tokens=256, temperature=0.1)
   @show updatedPlan = result
   a.memory[:shortterm]["Plan 1:"] = result
   
@@ -323,7 +323,7 @@ function selfAwareness(a::agentReflex)
     <|assistant|>
     What I know:
   """
-  response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=0.4, timeout=180,
+  response = sendReceivePrompt(a, prompt, max_tokens=256, temperature=0.4, timeout=180,
                                   stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
   @show response
 
@@ -432,7 +432,7 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
       <Your job> 
       Use the following format:
       $thought
-      Act: an action you intend to do according to your thought, must be one of [{toolnames}].
+      Act: an action you intend to do based on your thought, must be one of [{toolnames}].
       Actinput: your input to the action (pay attention to the tool's input)
       Obs: observed result of the action
       </Your job>
@@ -460,8 +460,8 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
   while true  # while Thought or Act is empty, run actor again
     tempcounter += 0.2
     @show tempcounter
-    response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=tempcounter, timeout=180,
-                                stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
+    response = sendReceivePrompt(a, prompt, max_tokens=256, temperature=tempcounter, timeout=180,
+                                stopword=["Obs:", "<|system|>", "</s>"])
     response = splittext(response, ["/n/n", "END", "End", "Obs", "<|im_end|>"])
     
     latestTask = shortMemLatestTask(a.memory[:shortterm]) +1
@@ -974,7 +974,7 @@ function analyze(a)
     
   """
 
-  response = sendReceivePrompt(a, prompt, max_tokens=1024, timeout=180)
+  response = sendReceivePrompt(a, prompt, max_tokens=256, timeout=180)
 
   return response
 end
@@ -1029,7 +1029,7 @@ function selfReflext(a, analysis::T) where {T<:AbstractString}
     <|im_end|>
   """
 
-  response = sendReceivePrompt(a, prompt, max_tokens=2048)
+  response = sendReceivePrompt(a, prompt, max_tokens=256)
   return response
 end
 
@@ -1248,7 +1248,7 @@ function checkTaskCompletion(a)
   """
   response = nothing
   _response = nothing
-  _response = sendReceivePrompt(a, prompt, max_tokens=512)
+  _response = sendReceivePrompt(a, prompt, max_tokens=256)
   @show checkTaskCompletion_raw = _response
   _response = split(_response, "</")[1]
   _response = split(_response, "\n\n")[1]
@@ -1344,7 +1344,7 @@ function recap(a)
     Extracted info: 
   """
   aware = "Self-awareness: map the info from the recap to the plan's tasks then state your mapping."
-  response = sendReceivePrompt(a, prompt, max_tokens=512, temperature=0.0)
+  response = sendReceivePrompt(a, prompt, max_tokens=256, temperature=0.0)
   response = split(response, "</")[1]
   response = split(response, "<|")[1]
   response = split(response, "\n\n")[1]

src/llmfunction.jl

@@ -175,7 +175,7 @@ function winestockDB(a::agentReflex, query::T) where {T<:AbstractString}
   $(JSON3.write(insertdata));
   """
   uri = URI(scheme="http", host="192.168.88.12", port="9010", path="/sql", userinfo="root:root")
-  r = HTTP.request("POST", uri, ["Accept" => "application/json", "NS"=>"yiem", "DB"=>"Blossom"], body)
+  r = HTTP.request("POST", uri, ["Accept" => "application/json", "NS"=>"yiem", "DB"=>"Blossom_wines"], body)
   println("")
   @show r.body
   

src/type.jl

@@ -140,7 +140,7 @@ function agentReflex(
         - occasion: ask the user
         - type of food that will be served with wine: ask the user
         - ambient temperature at the serving location: ask the user
-        - type of wine (Rose, White, Red and Sparkling): ask the user
+        - type of wine (we have Rose, White, Red, Rose and Sparkling): ask the user
         - user's personal taste of wine characteristic: ask the user
         - wine price range: ask the user
         - wines we have in stock: use winestock tool