Reverting the tools commit (#2404)

mem0/llms/anthropic.py

@@ -4,26 +4,14 @@ from typing import Dict, List, Optional
 try:
     import anthropic
 except ImportError:
-    raise ImportError(
-        "The 'anthropic' library is required. Please install it using 'pip install anthropic'."
-    )
+    raise ImportError("The 'anthropic' library is required. Please install it using 'pip install anthropic'.")
 
 from mem0.configs.llms.base import BaseLlmConfig
 from mem0.llms.base import LLMBase
 
 
 class AnthropicLLM(LLMBase):
-    """
-    A class for interacting with Anthropic's Claude models using the specified configuration.
-    """
-
     def __init__(self, config: Optional[BaseLlmConfig] = None):
-        """
-        Initializes the AnthropicLLM instance with the given configuration.
-
-        Args:
-            config (Optional[BaseLlmConfig]): Configuration settings for the language model.
-        """
         super().__init__(config)
 
         if not self.config.model:
@@ -35,17 +23,23 @@ class AnthropicLLM(LLMBase):
     def generate_response(
         self,
         messages: List[Dict[str, str]],
-    ) -> str:
+        response_format=None,
+        tools: Optional[List[Dict]] = None,
+        tool_choice: str = "auto",
+    ):
         """
-        Generates a response using Anthropic's Claude model based on the provided messages.
+        Generate a response based on the given messages using Anthropic.
 
         Args:
-            messages (List[Dict[str, str]]): A list of dictionaries, each containing a 'role' and 'content' key.
+            messages (list): List of message dicts containing 'role' and 'content'.
+            response_format (str or object, optional): Format of the response. Defaults to "text".
+            tools (list, optional): List of tools that the model can call. Defaults to None.
+            tool_choice (str, optional): Tool choice method. Defaults to "auto".
 
         Returns:
-            str: The generated response from the model.
+            str: The generated response.
         """
-        # Extract system message separately
+        # Separate system message from other messages
         system_message = ""
         filtered_messages = []
         for message in messages:
@@ -62,6 +56,9 @@ class AnthropicLLM(LLMBase):
             "max_tokens": self.config.max_tokens,
             "top_p": self.config.top_p,
         }
+        if tools:  # TODO: Remove tools if no issues found with new memory addition logic
+            params["tools"] = tools
+            params["tool_choice"] = tool_choice
 
         response = self.client.messages.create(**params)
         return response.content[0].text