diff --git a/main.py b/main.py
index 63234e7..aef7888 100644
--- a/main.py
+++ b/main.py
@@ -117,6 +117,7 @@ async def get_models():
 @app.post("/v1/chat/completions")
 async def generate_openai_chat_completion(form_data: OpenAIChatCompletionForm):
     user_message = get_last_user_message(form_data.messages)
+    messages = [message.model_dump() for message in form_data.messages]
 
     if form_data.model not in app.state.PIPELINES:
         return HTTPException(
@@ -133,7 +134,7 @@ async def generate_openai_chat_completion(form_data: OpenAIChatCompletionForm):
             def stream_content():
                 res = get_response(
                     user_message,
-                    messages=form_data.messages,
+                    messages=messages,
                     body=form_data.model_dump(),
                 )
 
@@ -186,7 +187,7 @@ async def generate_openai_chat_completion(form_data: OpenAIChatCompletionForm):
         else:
             res = get_response(
                 user_message,
-                messages=form_data.messages,
+                messages=messages,
                 body=form_data.model_dump(),
             )
             logging.info(f"stream:false:{res}")
diff --git a/pipelines/examples/applescript_pipeline.py b/pipelines/examples/applescript_pipeline.py
index d2c28f6..3453ddc 100644
--- a/pipelines/examples/applescript_pipeline.py
+++ b/pipelines/examples/applescript_pipeline.py
@@ -25,7 +25,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/azure_openai_pipeline.py b/pipelines/examples/azure_openai_pipeline.py
index 0052760..6b746d0 100644
--- a/pipelines/examples/azure_openai_pipeline.py
+++ b/pipelines/examples/azure_openai_pipeline.py
@@ -21,7 +21,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/haystack_pipeline.py b/pipelines/examples/haystack_pipeline.py
index cea62ff..650a771 100644
--- a/pipelines/examples/haystack_pipeline.py
+++ b/pipelines/examples/haystack_pipeline.py
@@ -79,7 +79,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom RAG pipeline.
         # Typically, you would retrieve relevant information from your knowledge base and synthesize it to generate a response.
diff --git a/pipelines/examples/llama_cpp_pipeline.py b/pipelines/examples/llama_cpp_pipeline.py
index 2032558..c555993 100644
--- a/pipelines/examples/llama_cpp_pipeline.py
+++ b/pipelines/examples/llama_cpp_pipeline.py
@@ -30,7 +30,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/llamaindex_ollama_github_pipeline.py b/pipelines/examples/llamaindex_ollama_github_pipeline.py
index 17d1461..2f091d6 100644
--- a/pipelines/examples/llamaindex_ollama_github_pipeline.py
+++ b/pipelines/examples/llamaindex_ollama_github_pipeline.py
@@ -70,7 +70,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom RAG pipeline.
         # Typically, you would retrieve relevant information from your knowledge base and synthesize it to generate a response.
diff --git a/pipelines/examples/llamaindex_ollama_pipeline.py b/pipelines/examples/llamaindex_ollama_pipeline.py
index 089c499..19ed721 100644
--- a/pipelines/examples/llamaindex_ollama_pipeline.py
+++ b/pipelines/examples/llamaindex_ollama_pipeline.py
@@ -30,7 +30,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom RAG pipeline.
         # Typically, you would retrieve relevant information from your knowledge base and synthesize it to generate a response.
diff --git a/pipelines/examples/llamaindex_pipeline.py b/pipelines/examples/llamaindex_pipeline.py
index 8dbce35..195e3f8 100644
--- a/pipelines/examples/llamaindex_pipeline.py
+++ b/pipelines/examples/llamaindex_pipeline.py
@@ -25,7 +25,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom RAG pipeline.
         # Typically, you would retrieve relevant information from your knowledge base and synthesize it to generate a response.
diff --git a/pipelines/examples/mlx_pipeline.py b/pipelines/examples/mlx_pipeline.py
index 71faa4f..8487d8e 100644
--- a/pipelines/examples/mlx_pipeline.py
+++ b/pipelines/examples/mlx_pipeline.py
@@ -73,7 +73,7 @@ class Pipeline:
                 print(f"Failed to terminate subprocess: {e}")
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/ollama_pipeline.py b/pipelines/examples/ollama_pipeline.py
index 437461d..876380a 100644
--- a/pipelines/examples/ollama_pipeline.py
+++ b/pipelines/examples/ollama_pipeline.py
@@ -21,7 +21,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/openai_pipeline.py b/pipelines/examples/openai_pipeline.py
index 1c712e4..f4273e7 100644
--- a/pipelines/examples/openai_pipeline.py
+++ b/pipelines/examples/openai_pipeline.py
@@ -21,7 +21,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/pipeline_example.py b/pipelines/examples/pipeline_example.py
index a0d1f95..1015ba8 100644
--- a/pipelines/examples/pipeline_example.py
+++ b/pipelines/examples/pipeline_example.py
@@ -20,7 +20,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/examples/python_code_pipeline.py b/pipelines/examples/python_code_pipeline.py
index cfe1408..8d3aa20 100644
--- a/pipelines/examples/python_code_pipeline.py
+++ b/pipelines/examples/python_code_pipeline.py
@@ -31,7 +31,7 @@ class Pipeline:
             return e.output.strip(), e.returncode
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/pipelines/ollama_pipeline.py b/pipelines/ollama_pipeline.py
index 437461d..876380a 100644
--- a/pipelines/ollama_pipeline.py
+++ b/pipelines/ollama_pipeline.py
@@ -21,7 +21,7 @@ class Pipeline:
         pass
 
     def get_response(
-        self, user_message: str, messages: List[OpenAIChatMessage], body: dict
+        self, user_message: str, messages: List[dict], body: dict
     ) -> Union[str, Generator, Iterator]:
         # This is where you can add your custom pipelines like RAG.'
         print(f"get_response:{__name__}")
diff --git a/schemas.py b/schemas.py
index 6f90d68..5cad1e6 100644
--- a/schemas.py
+++ b/schemas.py
@@ -12,6 +12,6 @@ class OpenAIChatMessage(BaseModel):
 class OpenAIChatCompletionForm(BaseModel):
     stream: bool = True
     model: str
-    messages: List[OpenAIChatMessage]
+    messages: List[dict]
 
     model_config = ConfigDict(extra="allow")
diff --git a/utils.py b/utils.py
index 97b22fc..a50cddf 100644
--- a/utils.py
+++ b/utils.py
@@ -22,7 +22,7 @@ def stream_message_template(model: str, message: str):
     }
 
 
-def get_last_user_message(messages: List[OpenAIChatMessage]) -> str:
+def get_last_user_message(messages: List[dict]) -> str:
     for message in reversed(messages):
         if message.role == "user":
             return message.content