diff --git a/patchwork/common/client/llm/anthropic.py b/patchwork/common/client/llm/anthropic.py
index 081445c67..0bc7f98ae 100644
--- a/patchwork/common/client/llm/anthropic.py
+++ b/patchwork/common/client/llm/anthropic.py
@@ -128,22 +128,22 @@ def __adapt_input_messages(self, messages: Iterable[ChatCompletionMessageParam])
         return new_messages
 
     def __adapt_chat_completion_request(
-        self,
-        messages: Iterable[ChatCompletionMessageParam],
-        model: str,
-        frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
-        logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
-        max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
-        n: Optional[int] | NotGiven = NOT_GIVEN,
-        presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
-        stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
-        temperature: Optional[float] | NotGiven = NOT_GIVEN,
-        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-        tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
-        top_p: Optional[float] | NotGiven = NOT_GIVEN,
+            self,
+            messages: Iterable[ChatCompletionMessageParam],
+            model: str,
+            frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
+            logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
+            max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
+            n: Optional[int] | NotGiven = NOT_GIVEN,
+            presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
+            stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
+            temperature: Optional[float] | NotGiven = NOT_GIVEN,
+            tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+            tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
+            top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
+            top_p: Optional[float] | NotGiven = NOT_GIVEN,
     ):
         system: Union[str, Iterable[TextBlockParam]] | NotGiven = NOT_GIVEN
         adapted_messages = self.__adapt_input_messages(messages)
@@ -171,6 +171,9 @@ def __adapt_chat_completion_request(
                 elif tool_choice_type == "none":
                     tool_choice = NOT_GIVEN
 
+        anthropic_tools = NOT_GIVEN
+        if tools is not None and tools is not NOT_GIVEN:
+            anthropic_tools = [tool.get("function") for tool in tools if tool.get("function") is not None]
         input_kwargs = dict(
             messages=adapted_messages,
             system=system,
@@ -178,7 +181,7 @@ def __adapt_chat_completion_request(
             model=model,
             stop_sequences=[stop] if isinstance(stop, str) else stop,
             temperature=temperature,
-            tools=[tool.get("function") for tool in tools if tool.get("function") is not None],
+            tools=anthropic_tools,
             tool_choice=tool_choice,
             top_p=top_p,
         )
@@ -204,22 +207,22 @@ def is_model_supported(self, model: str) -> bool:
         return model in self.__definitely_allowed_models or model.startswith(self.__allowed_model_prefix)
 
     def is_prompt_supported(
-        self,
-        messages: Iterable[ChatCompletionMessageParam],
-        model: str,
-        frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
-        logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
-        max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
-        n: Optional[int] | NotGiven = NOT_GIVEN,
-        presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
-        stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
-        temperature: Optional[float] | NotGiven = NOT_GIVEN,
-        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-        tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
-        top_p: Optional[float] | NotGiven = NOT_GIVEN,
+            self,
+            messages: Iterable[ChatCompletionMessageParam],
+            model: str,
+            frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
+            logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
+            max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
+            n: Optional[int] | NotGiven = NOT_GIVEN,
+            presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
+            stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
+            temperature: Optional[float] | NotGiven = NOT_GIVEN,
+            tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+            tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
+            top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
+            top_p: Optional[float] | NotGiven = NOT_GIVEN,
     ) -> int:
         model_limit = self.__get_model_limit(model)
         input_kwargs = self.__adapt_chat_completion_request(
@@ -248,27 +251,27 @@ def is_prompt_supported(
         return model_limit - message_token_count.input_tokens
 
     def truncate_messages(
-        self, messages: Iterable[ChatCompletionMessageParam], model: str
+            self, messages: Iterable[ChatCompletionMessageParam], model: str
     ) -> Iterable[ChatCompletionMessageParam]:
         return self._truncate_messages(self, messages, model)
 
     def chat_completion(
-        self,
-        messages: Iterable[ChatCompletionMessageParam],
-        model: str,
-        frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
-        logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
-        max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
-        n: Optional[int] | NotGiven = NOT_GIVEN,
-        presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
-        response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
-        stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
-        temperature: Optional[float] | NotGiven = NOT_GIVEN,
-        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
-        tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
-        top_p: Optional[float] | NotGiven = NOT_GIVEN,
+            self,
+            messages: Iterable[ChatCompletionMessageParam],
+            model: str,
+            frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
+            logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
+            max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
+            n: Optional[int] | NotGiven = NOT_GIVEN,
+            presence_penalty: Optional[float] | NotGiven = NOT_GIVEN,
+            response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN,
+            stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
+            temperature: Optional[float] | NotGiven = NOT_GIVEN,
+            tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+            tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
+            top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
+            top_p: Optional[float] | NotGiven = NOT_GIVEN,
     ) -> ChatCompletion:
         input_kwargs = self.__adapt_chat_completion_request(
             messages=messages,
diff --git a/pyproject.toml b/pyproject.toml
index 32eebbbc6..740a88437 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "patchwork-cli"
-version = "0.0.80"
+version = "0.0.81"
 description = ""
 authors = ["patched.codes"]
 license = "AGPL"