fixed ruff lint

Author: XyLearningProgramming

slm_server/app.py

@@ -196,7 +196,7 @@ async def create_embeddings(
 async def list_models(
     settings: Annotated[Settings, Depends(get_settings)],
 ) -> ModelListResponse:
-    """List available models (OpenAI-compatible). Returns the single loaded model from config."""
+    """List available models (OpenAI-compatible). Returns the single loaded model."""
     model_id = Path(settings.model_path).stem
     try:
         created = int(Path(settings.model_path).stat().st_mtime)

slm_server/config.py

@@ -59,7 +59,7 @@ class Settings(BaseSettings):
     model_path: str = Field(MODEL_PATH_DEFAULT, description="Model path for llama_cpp.")
     model_owner: str = Field(
         MODEL_OWNER_DEFAULT,
-        description="Owner label for /models list (e.g. Hugging Face org). Set SLM_MODEL_OWNER to override.",
+        description="Owner label for /models list. Set SLM_MODEL_OWNER to override.",
     )
     n_ctx: int = Field(
         4096, description="Maximum context window (input + generated tokens)."

slm_server/trace.py

@@ -14,13 +14,16 @@
 
 logger = logging.getLogger(__name__)
 
+
 def setup_tracing(app: FastAPI, settings: TraceSettings) -> None:
     """Initialize OpenTelemetry tracing with optional Grafana Tempo export."""
     if not settings.enabled:
         return
-    
+
     if not settings.endpoint or not settings.username or not settings.password:
-        logger.warning("Grafana Tempo endpoint or credentials are not configured, skipping tracing setup")
+        logger.warning(
+            "Grafana Tempo endpoint or credentials not configured, skipping tracing"
+        )
         return
 
     # Define your service name in a Resource