chore: fix lint errors, format files

Author: stuckinforloop

src/kit/models/config.py

@@ -4,12 +4,13 @@
 
 import os
 from dataclasses import dataclass, field
-from typing import Optional, Any, Dict
+from typing import Any, Dict, Optional
 
 
 @dataclass
 class OpenAIConfig:
     """Configuration for OpenAI API access."""
+
     api_key: Optional[str] = field(default_factory=lambda: os.environ.get("OPENAI_API_KEY"))
     model: str = "gpt-4o"
     temperature: float = 0.7
@@ -19,39 +20,38 @@ class OpenAIConfig:
     def __post_init__(self):
         if not self.api_key:
             raise ValueError(
-                "OpenAI API key not found. "
-                "Set OPENAI_API_KEY environment variable or pass api_key directly."
+                "OpenAI API key not found. Set OPENAI_API_KEY environment variable or pass api_key directly."
             )
 
 
 @dataclass
 class AnthropicConfig:
     """Configuration for Anthropic API access."""
+
     api_key: Optional[str] = field(default_factory=lambda: os.environ.get("ANTHROPIC_API_KEY"))
     model: str = "claude-3-opus-20240229"
     temperature: float = 0.7
-    max_tokens: int = 1000 # Corresponds to Anthropic's max_tokens_to_sample
+    max_tokens: int = 1000  # Corresponds to Anthropic's max_tokens_to_sample
 
     def __post_init__(self):
         if not self.api_key:
             raise ValueError(
-                "Anthropic API key not found. "
-                "Set ANTHROPIC_API_KEY environment variable or pass api_key directly."
+                "Anthropic API key not found. Set ANTHROPIC_API_KEY environment variable or pass api_key directly."
             )
 
 
 @dataclass
 class GoogleConfig:
     """Configuration for Google Generative AI API access."""
+
     api_key: Optional[str] = field(default_factory=lambda: os.environ.get("GOOGLE_API_KEY"))
     model: str = "gemini-1.5-pro-latest"
     temperature: Optional[float] = 0.7
-    max_output_tokens: Optional[int] = 1000 # Corresponds to Gemini's max_output_tokens
+    max_output_tokens: Optional[int] = 1000  # Corresponds to Gemini's max_output_tokens
     model_kwargs: Optional[Dict[str, Any]] = field(default_factory=dict)
 
     def __post_init__(self):
         if not self.api_key:
             raise ValueError(
-                "Google API key not found. "
-                "Set GOOGLE_API_KEY environment variable or pass api_key directly."
-            )
+                "Google API key not found. Set GOOGLE_API_KEY environment variable or pass api_key directly."
+            )

src/kit/summaries.py

@@ -1,13 +1,11 @@
 """Handles code summarization using LLMs."""
 
 import logging
-import os
-from dataclasses import dataclass, field
-from typing import TYPE_CHECKING, Any, Dict, List, Optional, Protocol, Union, runtime_checkable
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 
 import tiktoken
 
-from kit.models.base import LLMClientProtocol, LLMError
+from kit.models.base import LLMError
 from kit.models.config import AnthropicConfig, GoogleConfig, OpenAIConfig
 
 # Conditionally import google.genai