feat: enhance AnthropicCompletion class with additional client parameters and tool handling

- Added support for client_params in the AnthropicCompletion class to allow for additional client configuration.
- Refactored client initialization to use a dedicated method for retrieving client parameters.
- Implemented a new method to handle tool use conversation flow, ensuring proper execution and response handling.
- Introduced comprehensive test cases to validate the functionality of the AnthropicCompletion class, including tool use scenarios and parameter handling.

lib/crewai/src/crewai/llms/providers/anthropic/completion.py

@@ -123,6 +123,7 @@ class AnthropicCompletion(BaseLLM):
             Chat completion response or tool call result
         """
         try:
+            print("we are calling", messages)
             # Emit call started event
             self._emit_call_started_event(
                 messages=messages,
@@ -142,6 +143,7 @@ class AnthropicCompletion(BaseLLM):
             completion_params = self._prepare_completion_params(
                 formatted_messages, system_message, tools
             )
+            print("completion_params", completion_params)
 
             # Handle streaming vs non-streaming
             if self.stream:
@@ -292,6 +294,7 @@ class AnthropicCompletion(BaseLLM):
     ) -> str | Any:
         """Handle non-streaming message completion."""
         try:
+            print("params", params)
             response: Message = self.client.messages.create(**params)
 
         except Exception as e: