fix(config): convert rate_limit to computed property and clean settin…

backend/config.py

@@ -1,29 +1,41 @@
 """
-This file includes the config of the app. Contains the environment variables.
-It defines a Pydantic BaseSettings class and caches a single Settings instance.
+This file includes the config of the app.
+
+Contains environment variables using Pydantic BaseSettings
+and caches a single Settings instance.
 """
 
 from functools import lru_cache
 from pydantic import Field
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
+
 class Settings(BaseSettings):
     token: str = Field(..., validation_alias="GITHUB_TOKEN")
-    endpoint: str = Field("https://models.github.ai/inference", validation_alias="GITHUB_MODELS_ENDPOINT")
+    endpoint: str = Field(
+        "https://models.github.ai/inference",
+        validation_alias="GITHUB_MODELS_ENDPOINT",
+    )
     model_name: str = Field("openai/gpt-4o", validation_alias="GITHUB_MODEL")
     max_prompt_length: int = Field(10000, validation_alias="MAX_PROMPT_LENGTH")
     max_request_size: int = Field(50000, validation_alias="MAX_REQUEST_SIZE")
     llm_timeout: int = Field(1200, validation_alias="LLM_TIMEOUT")
+
     rate_limit_window: int = 60
     rate_limit_max_requests: int = 30
+
+    @property
+    def rate_limit(self) -> str:
+        return f"{self.rate_limit_max_requests} requests per {self.rate_limit_window}s"
+
     version: str = "1.1.0"
-    rate_limit: str = f"{rate_limit_max_requests} requests per {rate_limit_window}s"
 
     model_config = SettingsConfigDict(
         env_file=".env",
-        case_sensitive=True
+        case_sensitive=True,
     )
 
-@lru_cache
+
+@lru_cache()
 def get_settings() -> Settings:
     return Settings()