fix: make DeepSequence quality checks pass (app/core/config.py)

Author: CoreyLeath-code

app/core/config.py

@@ -1,25 +1,26 @@
-"""Application settings loaded from environment variables."""
-
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-
-class Settings(BaseSettings):
-    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
-    environment: str = "development"
-    log_level: str = "INFO"
-
-    # Model hyper-parameters
-    embedding_dim: int = 64
-    hidden_dim: int = 128
-    num_layers: int = 2
-    max_sequence_length: int = 50
-    top_k: int = 10
-    max_top_k: int = 50
-    model_bundle_path: str = "models/current"
-    max_inference_ms: float = 250.0
-    max_concurrent_inferences: int = 8
-    cache_ttl_seconds: int = 30
-    requests_per_minute: int = 120
-    api_key: str | None = None
-
-settings = Settings()
+"""Application settings loaded from environment variables."""
+
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
+    environment: str = "development"
+    log_level: str = "INFO"
+
+    # Model hyper-parameters
+    embedding_dim: int = 64
+    hidden_dim: int = 128
+    num_layers: int = 2
+    max_sequence_length: int = 50
+    top_k: int = 10
+    max_top_k: int = 50
+    model_bundle_path: str = "models/current"
+    max_inference_ms: float = 250.0
+    max_concurrent_inferences: int = 8
+    cache_ttl_seconds: int = 30
+    requests_per_minute: int = 120
+    api_key: str | None = None
+
+
+settings = Settings()