Fix style issues

.flake8

@@ -0,0 +1,10 @@
+[flake8]
+max-line-length = 120
+exclude =
+    .git,
+    __pycache__,
+    .idea
+per-file-ignores =
+    # imported but unused
+    __init__.py: F401, F403
+

.pre-commit-config.yaml

@@ -5,8 +5,9 @@
         rev: stable
         hooks:
           - id: black
-            language_version: python3.11
+            language_version: python3.12
       - repo: https://github.com/pre-commit/pre-commit-hooks
         rev: v2.0.0
         hooks:
-        - id: flake8
+          - id: flake8
+            language_version: python3.12

app/llm/basic_request_handler.py

@@ -1,7 +1,11 @@
 from domain import IrisMessage
 from llm import LlmManager
 from llm import RequestHandlerInterface, CompletionArguments
-from llm.wrapper import LlmCompletionWrapperInterface, LlmChatCompletionWrapperInterface, LlmEmbeddingWrapperInterface
+from llm.wrapper import (
+    LlmCompletionWrapperInterface,
+    LlmChatCompletionWrapperInterface,
+    LlmEmbeddingWrapperInterface,
+)
 
 type BasicRequestHandlerModel = str
 
@@ -21,7 +25,9 @@ def completion(self, prompt: str, arguments: CompletionArguments) -> str:
         else:
             raise NotImplementedError
 
-    def chat_completion(self, messages: list[IrisMessage], arguments: CompletionArguments) -> IrisMessage:
+    def chat_completion(
+        self, messages: list[IrisMessage], arguments: CompletionArguments
+    ) -> IrisMessage:
         llm = self.llm_manager.get_llm_by_id(self.model).llm
         if isinstance(llm, LlmChatCompletionWrapperInterface):
             return llm.chat_completion(messages, arguments)

app/llm/wrapper/llm_wrapper_interface.py

@@ -2,16 +2,19 @@
 
 from llm import CompletionArguments
 
-type LlmWrapperInterface = LlmCompletionWrapperInterface | LlmChatCompletionWrapperInterface | LlmEmbeddingWrapperInterface
+type LlmWrapperInterface = (
+    LlmCompletionWrapperInterface
+    | LlmChatCompletionWrapperInterface
+    | LlmEmbeddingWrapperInterface
+)
 
 
 class LlmCompletionWrapperInterface(metaclass=ABCMeta):
     """Interface for the llm completion wrappers"""
 
     @classmethod
     def __subclasshook__(cls, subclass):
-        return (hasattr(subclass, 'completion') and
-                callable(subclass.completion))
+        return hasattr(subclass, "completion") and callable(subclass.completion)
 
     @abstractmethod
     def completion(self, prompt: str, arguments: CompletionArguments) -> str:
@@ -24,11 +27,14 @@ class LlmChatCompletionWrapperInterface(metaclass=ABCMeta):
 
     @classmethod
     def __subclasshook__(cls, subclass):
-        return (hasattr(subclass, 'chat_completion') and
-                callable(subclass.chat_completion))
+        return hasattr(subclass, "chat_completion") and callable(
+            subclass.chat_completion
+        )
 
     @abstractmethod
-    def chat_completion(self, messages: list[any], arguments: CompletionArguments) -> any:
+    def chat_completion(
+        self, messages: list[any], arguments: CompletionArguments
+    ) -> any:
         """Create a completion from the chat messages"""
         raise NotImplementedError
 
@@ -38,8 +44,9 @@ class LlmEmbeddingWrapperInterface(metaclass=ABCMeta):
 
     @classmethod
     def __subclasshook__(cls, subclass):
-        return (hasattr(subclass, 'create_embedding') and
-                callable(subclass.create_embedding))
+        return hasattr(subclass, "create_embedding") and callable(
+            subclass.create_embedding
+        )
 
     @abstractmethod
     def create_embedding(self, text: str) -> list[float]:

app/llm/wrapper/ollama_wrapper.py

@@ -1,6 +1,4 @@
 from ollama import Client, Message
-from openai import OpenAI
-from openai.types.chat import ChatCompletionMessageParam
 
 from domain import IrisMessage
 from llm import CompletionArguments