update

src/interface.jl

@@ -279,10 +279,11 @@ function planner_mistral_openorca(a::agentReflex)
   """
     <|im_start|>system
     {role}
+    {roleSpecificKnowledge}
     {tools}
     {thinkingFormat}
-    <|im_end|>
     {context}
+    <|im_end|>
     <|im_start|>user
     {usermsg}
     <|im_end|>
@@ -291,6 +292,18 @@ function planner_mistral_openorca(a::agentReflex)
   """
   prompt = replace(prompt, "{role}" => a.roles[a.role])
   prompt = replace(prompt, "{thinkingFormat}" => a.thinkingFormat[:planner])
+  roleSpecificKnowledge = 
+  """
+    You provide a personalized recommendation of up to two wines based on the user's preference, and you describe the benefits of each wine in detail.
+    Info you need from the user to be able to help them selecting their best wine:
+      - type of food
+      - occasion
+      - user's personal taste of wine
+      - wine price range
+      - temperature at the serving location
+      - wine we have in stock
+  """
+  prompt = replace(prompt, "{roleSpecificKnowledge}" => roleSpecificKnowledge)
   toolnames = ""
   toollines = ""
   for (toolname, v) in a.tools
@@ -351,10 +364,10 @@ function actor_mistral_openorca(a::agentReflex)
   prompt = 
   """
     <|im_start|>system
-    {context}
+    {role} 
     {tools}
-    {role}  
     {thinkingFormat}
+    {context}
     <|im_end|>
     {shorttermMemory}
     Thought $(a.step):
@@ -648,7 +661,7 @@ function work(a::agentReflex, usermsg::String)
       # plan = split(plan, "Execution:")[1]
       # plan = split(plan, "Result:")[1]
       # plan = split(plan, "Recommendation:")[1]
-      plan = splitext(respond, ["<|im_end|>", "Response:", "Execution:", "Result:", "Recommendation:"])
+      plan = splittext(respond, ["<|im_end|>", "Response:", "Execution:", "Result:", "Recommendation:"])
       plan = replace(plan, "Plan:"=>"")
       a.memory[:shortterm]["Plan $(a.attempt):"] = plan
       a.memory[:log]["Plan $(a.attempt):"] = plan