diff --git a/scripts/flask_modelscope/setup_ms_service.py b/scripts/flask_modelscope/setup_ms_service.py
index 5f0212ef3..d22aca257 100644
--- a/scripts/flask_modelscope/setup_ms_service.py
+++ b/scripts/flask_modelscope/setup_ms_service.py
@@ -7,7 +7,6 @@
 from flask import request
 
 import modelscope
-from agentscope.utils.tools import reform_dialogue
 
 
 def create_timestamp(format_: str = "%Y-%m-%d %H:%M:%S") -> str:
@@ -23,9 +22,7 @@ def get_response() -> dict:
     """Receive post request and return response"""
     json = request.get_json()
 
-    inputs = json.pop("inputs")
-
-    inputs = reform_dialogue(inputs)
+    inputs = json.pop("messages")
 
     global model, tokenizer
 
diff --git a/scripts/flask_transformers/setup_hf_service.py b/scripts/flask_transformers/setup_hf_service.py
index 6084b6dcc..710bd74cb 100644
--- a/scripts/flask_transformers/setup_hf_service.py
+++ b/scripts/flask_transformers/setup_hf_service.py
@@ -7,7 +7,6 @@
 from flask import request
 
 import transformers
-from agentscope.utils.tools import reform_dialogue
 
 
 def create_timestamp(format_: str = "%Y-%m-%d %H:%M:%S") -> str:
@@ -23,12 +22,10 @@ def get_response() -> dict:
     """Receive post request and return response"""
     json = request.get_json()
 
-    inputs = json.pop("inputs")
+    inputs = json.pop("messages")
 
     global model, tokenizer
 
-    inputs = reform_dialogue(inputs)
-
     if hasattr(tokenizer, "apply_chat_template"):
         prompt = tokenizer.apply_chat_template(
             inputs,
diff --git a/src/agentscope/models/post_model.py b/src/agentscope/models/post_model.py
index 7a6dfa6ec..385881fd2 100644
--- a/src/agentscope/models/post_model.py
+++ b/src/agentscope/models/post_model.py
@@ -206,14 +206,14 @@ def format(
         )
 
         # OpenAI
-        if model_name.startswith("gpt-"):
+        if model_name and model_name.startswith("gpt-"):
             return OpenAIChatWrapper.static_format(
                 *args,
                 model_name=model_name,
             )
 
         # Gemini
-        elif model_name.startswith("gemini"):
+        elif model_name and model_name.startswith("gemini"):
             return GeminiChatWrapper.format(*args)
 
         # Include DashScope, ZhipuAI, Ollama, the other models supported by
diff --git a/src/agentscope/utils/tools.py b/src/agentscope/utils/tools.py
index 440aee1b4..f79a8b754 100644
--- a/src/agentscope/utils/tools.py
+++ b/src/agentscope/utils/tools.py
@@ -315,42 +315,6 @@ def _convert_to_str(content: Any) -> str:
         return str(content)
 
 
-def reform_dialogue(input_msgs: list[dict]) -> list[dict]:
-    """record dialog history as a list of strings"""
-    messages = []
-
-    dialogue = []
-    for i, unit in enumerate(input_msgs):
-        if i == 0 and unit["role"] == "system":
-            # system prompt
-            messages.append(
-                {
-                    "role": unit["role"],
-                    "content": _convert_to_str(unit["content"]),
-                },
-            )
-        else:
-            # Merge all messages into a conversation history prompt
-            dialogue.append(
-                f"{unit['name']}: {_convert_to_str(unit['content'])}",
-            )
-
-    dialogue_history = "\n".join(dialogue)
-
-    user_content_template = "## Conversation History\n{dialogue_history}"
-
-    messages.append(
-        {
-            "role": "user",
-            "content": user_content_template.format(
-                dialogue_history=dialogue_history,
-            ),
-        },
-    )
-
-    return messages
-
-
 def _join_str_with_comma_and(elements: List[str]) -> str:
     """Return the JSON string with comma, and use " and " between the last two
     elements."""