diff --git a/main.py b/main.py
index 2fcab4c..c70a6c9 100644
--- a/main.py
+++ b/main.py
@@ -15,7 +15,7 @@ from google import genai
 from google.genai import types as genai_types
 from mcp.server.fastmcp import Context, FastMCP
 
-from utils import Settings, _args, log_structured_entry
+from utils import Settings, _args, cfg, log_structured_entry
 
 HTTP_TOO_MANY_REQUESTS = 429
 HTTP_SERVER_ERROR = 500
@@ -624,8 +624,6 @@ async def lifespan(_server: FastMCP) -> AsyncIterator[AppContext]:
         log_structured_entry("MCP server lifespan ending", "INFO")
 
 
-cfg = Settings.model_validate({})
-
 mcp = FastMCP(
     "knowledge-search",
     host=_args.host,
diff --git a/utils/__init__.py b/utils/__init__.py
index dcbcb26..17f1feb 100644
--- a/utils/__init__.py
+++ b/utils/__init__.py
@@ -1,4 +1,4 @@
-from .config import Settings, _args
+from .config import Settings, _args, cfg
 from .logging_setup import log_structured_entry
 
-__all__ = ['Settings', '_args', 'log_structured_entry']
+__all__ = ['Settings', '_args', 'cfg', 'log_structured_entry']
diff --git a/utils/config.py b/utils/config.py
index 07b5c01..04f81d4 100644
--- a/utils/config.py
+++ b/utils/config.py
@@ -35,6 +35,8 @@ class Settings(BaseSettings):
     endpoint_domain: str
     embedding_model: str = "gemini-embedding-001"
     search_limit: int = 10
+    log_name: str = "va_agent_evaluation_logs"
+    log_level: str = "INFO"
 
     @classmethod
     def settings_customise_sources(
@@ -52,3 +54,7 @@ class Settings(BaseSettings):
             YamlConfigSettingsSource(settings_cls),
             file_secret_settings,
         )
+
+
+# Singleton instance of Settings
+cfg = Settings.model_validate({})
diff --git a/utils/logging_setup.py b/utils/logging_setup.py
index 686da1f..fb1519a 100644
--- a/utils/logging_setup.py
+++ b/utils/logging_setup.py
@@ -9,26 +9,24 @@ from typing import Optional, Dict, Literal
 import google.cloud.logging
 from google.cloud.logging.handlers import CloudLoggingHandler
 
-from .config import Settings
+from .config import cfg
 
 
 def _setup_logger() -> logging.Logger:
     """Create or return the singleton evaluation logger."""
-    log_name = "va_agent-evaluation-logs"
-    logger = logging.getLogger(log_name)
-    cfg = Settings.model_validate({})
+    logger = logging.getLogger(cfg.log_name)
     if any(isinstance(h, CloudLoggingHandler) for h in logger.handlers):
         return logger
 
     try:
         client = google.cloud.logging.Client(project=cfg.project_id)
-        handler = CloudLoggingHandler(client, name=log_name)  # async transport
+        handler = CloudLoggingHandler(client, name=cfg.log_name)  # async transport
         logger.addHandler(handler)
-        logger.setLevel(logging.INFO)
+        logger.setLevel(getattr(logging, cfg.log_level.upper()))
     except Exception as e:
         # Fallback to console if Cloud Logging is unavailable (local dev)
-        logging.basicConfig(level=logging.INFO)
-        logger = logging.getLogger(log_name)
+        logging.basicConfig(level=getattr(logging, cfg.log_level.upper()))
+        logger = logging.getLogger(cfg.log_name)
         logger.warning("Cloud Logging setup failed; using console. Error: %s", e)
 
     return logger
@@ -43,7 +41,7 @@ def log_structured_entry(message: str, severity: Literal["INFO", "WARNING", "ERR
 
     Args:
         message: Short label for the row (e.g., "Final agent turn").
-        severity: "INFO" | "WARNING" | "ERROR" etc.
+        severity: "INFO" | "WARNING" | "ERROR"
         custom_log: A dict with your structured payload.
     """
     level = getattr(logging, severity.upper(), logging.INFO)