Reverting the tools commit (#2404)

mem0/llms/openai_structured.py

@@ -9,78 +9,31 @@ from mem0.llms.base import LLMBase
 
 
 class OpenAIStructuredLLM(LLMBase):
-    """
-    A class for interacting with OpenAI's structured language models using the specified configuration.
-    """
-
     def __init__(self, config: Optional[BaseLlmConfig] = None):
-        """
-        Initializes the OpenAIStructuredLLM instance with the given configuration.
-
-        Args:
-            config (Optional[BaseLlmConfig]): Configuration settings for the language model.
-        """
         super().__init__(config)
 
         if not self.config.model:
             self.config.model = "gpt-4o-2024-08-06"
 
         api_key = self.config.api_key or os.getenv("OPENAI_API_KEY")
-        base_url = (
-            self.config.openai_base_url
-            or os.getenv("OPENAI_API_BASE")
-            or "https://api.openai.com/v1"
-        )
+        base_url = self.config.openai_base_url or os.getenv("OPENAI_API_BASE") or "https://api.openai.com/v1"
         self.client = OpenAI(api_key=api_key, base_url=base_url)
 
-    def _parse_response(self, response, tools):
-        """
-        Process the response based on whether tools are used or not.
-        Args:
-            response: The raw response from API.
-            tools (list, optional): List of tools that the model can call.
-        Returns:
-            str or dict: The processed response.
-        """
-
-        if tools:
-            processed_response = {
-                "content": response.choices[0].message.content,
-                "tool_calls": [],
-            }
-
-            if response.choices[0].message.tool_calls:
-                for tool_call in response.choices[0].message.tool_calls:
-                    processed_response["tool_calls"].append(
-                        {
-                            "name": tool_call.function.name,
-                            "arguments": json.loads(tool_call.function.arguments),
-                        }
-                    )
-
-            return processed_response
-
-        else:
-            return response.choices[0].message.content
-
     def generate_response(
         self,
         messages: List[Dict[str, str]],
         response_format: Optional[str] = None,
-        tools: Optional[List[Dict]] = None,
-        tool_choice: str = "auto",
     ) -> str:
         """
-        Generates a response using OpenAI based on the provided messages.
+        Generate a response based on the given messages using OpenAI.
 
         Args:
             messages (List[Dict[str, str]]): A list of dictionaries, each containing a 'role' and 'content' key.
             response_format (Optional[str]): The desired format of the response. Defaults to None.
-            tools (Optional[List[Dict]]): A list of dictionaries, each containing a 'name' and 'arguments' key.
-            tool_choice (str): The choice of tool to use. Defaults to "auto".
+
 
         Returns:
-            str: The generated response from the model.
+            str: The generated response.
         """
         params = {
             "model": self.config.model,
@@ -95,4 +48,4 @@ class OpenAIStructuredLLM(LLMBase):
             params["tool_choice"] = tool_choice
 
         response = self.client.beta.chat.completions.parse(**params)
-        return self._parse_response(response, tools)
+        return response.choices[0].message.content