tuned prompt

llama.py

@@ -13,7 +13,7 @@ register_dummy()
 def initialize_config(inference: Inference) -> Terminal:
 
     # systemmessage at the very begin of the chat. Will be concatenated with the automatic tool usage descriptions
-    system_prompt = "Hold a casual conversation with the user. Keep responses short at max 5 sentences and on point. Answer using markdown to the user. When providing code examples, avoid comments which provide no additional information."
+    system_prompt = "Hold a casual conversation with the user. Keep responses short at max 5 sentences and on point. Answer using markdown to the user. When providing code examples, avoid comments which provide no additional information. Do not summarize."
     current_date_and_time = datetime.datetime.now().strftime("Current date is %Y-%m-%d and its %H:%M %p right now.")
     append_toolcalls = False
     if append_toolcalls:
@@ -25,11 +25,11 @@ def initialize_config(inference: Inference) -> Terminal:
 
     # system message for role flip so the model automatically answers for the user
     terminal.roleflip = msg("system", "Keep the conversation going, ask for more information on the subject. Keep messages short at max 1-2 sentences. Do not thank and say goodbye.")
-    
+
     # system messages and user message to bring the model to summarize the entire conversation
     terminal.summarize = msg("system", "Summarize the conversation as a single, cohesive paragraph. Avoid using any bullet points, numbers, or list formatting. Write in plain text with natural sentences that flow together seamlessly.")
     terminal.summarize_user = msg("system", "Can you summarize the conversation?")
-    
+
     # system message to create a conversation title
     terminal.title_prompt = msg("system", "Please create a very short and descriptive title or label for this conversation. Maximum 2-5 words. Use only plain text, avoid numbering, special characters, or unnecessary formatting-focus on clarity and brevity.")
     return terminal
@@ -37,7 +37,7 @@ def initialize_config(inference: Inference) -> Terminal:
 
 
 if __name__ == "__main__":
-    
+
     inference = Inference(model_selection.get_model())
     terminal = initialize_config(inference)
     terminal.join()