tool evaluations

llama.py

@@ -5,6 +5,7 @@ import random
 from tool_helper import tool_list, parse_and_execute_tool_call
 from tool_functions import register_dummy
 import utils
+import re
 
 t_start = time.time()
 
@@ -94,6 +95,8 @@ messages = [
     # {"role": "user", "content": "Hello, who are you?"}
 ]
 
+systemmessage = "Hold a casual conversation with the user. Keep responses short at max 3 sentences."
+
 roleflip = {"role": "system", "content": "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."}
 
 
@@ -175,7 +178,7 @@ def append_generate_chat(input_text: str, role="user"):
 
     # input_text = "Hello, who are you?"
     # inputs = tokenizer(input_text, return_tensors="pt").to("cpu")  # .to("cuda") .to("cpu")
-    inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=True, return_dict=True, add_generation_prompt=True, tools=tool_list)  #continue_final_message=True,
+    inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=True, return_dict=True, add_generation_prompt=True)  #continue_final_message=True,
     inputs = {key: value.to(model.device) for key, value in inputs.items()}
     # inputs = {key: value.to("cpu") for key, value in inputs.items()}
     # inputs["input_ids"] = inputs["input_ids"][:, 1:]
@@ -199,8 +202,22 @@ def append_generate_chat(input_text: str, role="user"):
 
 
 
+def generate_tool_use_header(tools: list[callable]) -> str:
+    temp_messages = [{}]  # for some reason an empty array is not allowed but a {} inside works like an empty array.
+    s = tokenizer.apply_chat_template(temp_messages, return_tensors="pt", tokenize=False, add_generation_prompt=False, tools=tools)
+    pattern = r"<\|im_start\|>system\n(.*)<\|im_end\|>"
+    match = re.search(pattern, s, re.DOTALL)
+    if not match:
+        raise Exception("Failed to regex match the template tool system text.")
+    extraction = match.group(1)
+    return extraction
+
+
 def main():
     global messages
+
+    messages = [{"role": "system", "content": systemmessage + "\n" + generate_tool_use_header(tool_list)}]
+
     while True:
         # print an input prompt to receive text or commands
         input_text = input(">>> ")
@@ -218,7 +235,7 @@ def main():
             print("")
 
         elif input_text.startswith("/history"):
-            history = tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=False, add_generation_prompt=False, tools=tool_list)
+            history = tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=False, add_generation_prompt=False)
             print(history)
 
         elif input_text.startswith("/undo"):

tool_functions.py

@@ -40,7 +40,7 @@ Args:
 def math_evaluate(expression: str):
     """evaluate and reduce a mathematical expression.
 Args:
-    expression: Reduce mathematic expression (without '=') algebraically..
+    expression: Reduce mathematic expression (without '=') algebraically.
     """
 
     tokens = math_lexer.tokenize(expression)
@@ -69,4 +69,5 @@ Args:
 
 
 def register_dummy():
-    pass  # dummy function to run and be sure the decorators have run
+    """dummy function to run and be sure the decorators have been initialized"""
+    pass