feat(ag-ui): configure loggers from the cli

Allow the loggers to be configured from the CLI, so that users can
control the logging level of other modules when running the AG-UI
examples.

Author: stevenh

examples/pydantic_ai_ag_ui_examples/cli/args.py

@@ -15,7 +15,7 @@ class Args:
     port: int
     reload: bool
     log_level: str
-    loggers: tuple[str, ...]
+    loggers: list[str]
 
     def log_config(self) -> dict[str, Any]:
         """Return the logging configuration based on the log level."""
@@ -30,14 +30,9 @@ def log_config(self) -> dict[str, Any]:
         return log_config
 
 
-def parse_args(
-    loggers: tuple[str, ...] = ('pydantic_ai_ag_ui.adapter',),
-) -> Args:
+def parse_args() -> Args:
     """Parse command line arguments for the PydanticAI AG-UI servers.
 
-    Args:
-        loggers: A tuple of logger names to configure. Defaults to the adapter logger.
-
     Returns:
         Args: A dataclass containing the parsed command line arguments.
     """
@@ -66,6 +61,14 @@ def parse_args(
         default='info',
         help='Adapter log level (default: info)',
     )
+    parser.add_argument(
+        '--loggers',
+        nargs='*',
+        default=[
+            'pydantic_ai_ag_ui.adapter',
+        ],
+        help='Logger names to configure (default: adapter and model loggers)',
+    )
 
     args: argparse.Namespace = parser.parse_args()
-    return Args(loggers=loggers, **vars(args))
+    return Args(**vars(args))