@@ -1,4 +1,3 @@
-import logging
 from collections import defaultdict
 from typing import Any
 
@@ -7,8 +6,6 @@
 from rlm.clients.base_lm import BaseLM
 from rlm.core.types import ModelUsageSummary, UsageSummary
 
-logger = logging.getLogger(__name__)
-
 
 class AnthropicClient(BaseLM):
     """
@@ -54,12 +51,6 @@ def completion(self, prompt: str | list[dict[str, Any]], model: str | None = Non
 
         full_response = "".join(parts)
 
-        if not full_response:
-            logger.warning("Received empty response from Anthropic API")
-
-        if response.stop_reason == "max_tokens":
-            logger.warning(f"Response truncated at {self.max_tokens} tokens")
-
         self._track_cost(response, model)
         return full_response
 
@@ -85,12 +76,6 @@ async def acompletion(
 
         full_response = "".join(parts)
 
-        if not full_response:
-            logger.warning("Received empty response from Anthropic API")
-
-        if response.stop_reason == "max_tokens":
-            logger.warning(f"Response truncated at {self.max_tokens} tokens")
-
         self._track_cost(response, model)
         return full_response