address cmt

e2e_tests/common.py

@@ -10,6 +10,16 @@ LLM_GATEWAY_ENDPOINT = os.getenv(
 )
 ARCH_STATE_HEADER = "x-arch-state"
 
+PREFILL_LIST = [
+    "May",
+    "Could",
+    "Sure",
+    "Definitely",
+    "Certainly",
+    "Of course",
+    "Can",
+]
+
 
 def get_data_chunks(stream, n=1):
     chunks = []

e2e_tests/test_prompt_gateway.py

@@ -3,20 +3,12 @@ import pytest
 import requests
 from deepdiff import DeepDiff
 
-from common import PROMPT_GATEWAY_ENDPOINT, get_arch_messages, get_data_chunks
-
-
-def get_prefill_list():
-    prefill_list = [
-        "May",
-        "Could",
-        "Sure",
-        "Definitely",
-        "Certainly",
-        "Of course",
-        "Can",
-    ]
-    return prefill_list
+from common import (
+    PROMPT_GATEWAY_ENDPOINT,
+    PREFILL_LIST,
+    get_arch_messages,
+    get_data_chunks,
+)
 
 
 @pytest.mark.parametrize("stream", [True, False])
@@ -126,10 +118,9 @@ def test_prompt_gateway_arch_direct_response(stream):
         message = choices[0]["message"]["content"]
 
         assert "Could you provide the following details days" not in message
-    prefill_list = get_prefill_list()
     assert any(
-        message.startswith(word) for word in prefill_list
-    ), f"Expected assistant message to start with one of {prefill_list}, but got '{assistant_message}'"
+        message.startswith(word) for word in PREFILL_LIST
+    ), f"Expected assistant message to start with one of {PREFILL_LIST}, but got '{assistant_message}'"
 
 
 @pytest.mark.parametrize("stream", [True, False])

model_server/app/commons/constants.py

@@ -8,8 +8,9 @@ from app.prompt_guard.model_handler import ArchGuardHanlder
 logger = utils.get_model_server_logger()
 
 arch_function_hanlder = ArchFunctionHandler()
-prefill_list = ["May", "Could", "Sure", "Definitely", "Certainly", "Of course", "Can"]
-prefill_enabled = True
+PREFILL_LIST = ["May", "Could", "Sure", "Definitely", "Certainly", "Of course", "Can"]
+PREFILL_ENABLED = True
+TOOL_CALL_TOKEN = "<tool_call>"
 arch_function_endpoint = "https://api.fc.archgw.com/v1"
 arch_function_client = utils.get_client(arch_function_endpoint)
 arch_function_generation_params = {

model_server/app/function_calling/model_utils.py

@@ -87,14 +87,14 @@ async def chat_completion(req: ChatMessage, res: Response):
         resp = const.arch_function_client.chat.completions.create(
             messages=messages,
             model=client_model_name,
-            stream=const.prefill_enabled,
+            stream=const.PREFILL_ENABLED,
             extra_body=const.arch_function_generation_params,
         )
     except Exception as e:
         logger.error(f"model_server <= arch_function: error: {e}")
         raise
 
-    if const.prefill_enabled:
+    if const.PREFILL_ENABLED:
         first_token_content = ""
         for token in resp:
             first_token_content = token.choices[
@@ -104,14 +104,16 @@ async def chat_completion(req: ChatMessage, res: Response):
                 break
 
         # Check if the first token requires tool call handling
-        if first_token_content != "<tool_call>":
+        if first_token_content != const.TOOL_CALL_TOKEN:
             # Engage pre-filling response if no tool call is indicated
             resp.close()
             logger.info("Tool call is not found! Engage pre filling")
-            prefill_content = random.choice(const.prefill_list)
+            prefill_content = random.choice(const.PREFILL_LIST)
             messages.append({"role": "assistant", "content": prefill_content})
 
             # Send a new completion request with the updated messages
+            # the model will continue the final message in the chat instead of starting a new one
+            # disable add_generation_prompt which tells the template to add tokens that indicate the start of a bot response.
             extra_body = {
                 **const.arch_function_generation_params,
                 "continue_final_message": True,