fix: ensure consistent logger levels across modules

- Change third-party logger levels from ERROR to WARNING in llm/__init__.py
  to match the centralized configuration
- Remove root logger override in knowledge.py that was ignoring LOGLEVEL
  environment variable

This ensures the LOGLEVEL environment variable is properly respected
throughout the application.

Co-authored-by: Mervin Praison <[email protected]>

Author: claude[bot]

src/praisonai-agents/praisonaiagents/knowledge/knowledge.py

@@ -67,9 +67,6 @@ def __init__(self, config=None, verbose=None):
 
             # Disable OpenAI API request logging
             logging.getLogger('openai').setLevel(logging.WARNING)
-            
-            # Set root logger to warning to catch any uncategorized logs
-            logging.getLogger().setLevel(logging.WARNING)
 
     @cached_property
     def _deps(self):

src/praisonai-agents/praisonaiagents/llm/__init__.py

@@ -5,12 +5,12 @@
 # Disable litellm telemetry before any imports
 os.environ["LITELLM_TELEMETRY"] = "False"
 
-# Suppress all relevant logs at module level
-logging.getLogger("litellm").setLevel(logging.ERROR)
-logging.getLogger("openai").setLevel(logging.ERROR)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("httpcore").setLevel(logging.ERROR)
-logging.getLogger("pydantic").setLevel(logging.ERROR)
+# Suppress all relevant logs at module level - consistent with main __init__.py
+logging.getLogger("litellm").setLevel(logging.WARNING)
+logging.getLogger("openai").setLevel(logging.WARNING)
+logging.getLogger("httpx").setLevel(logging.WARNING)
+logging.getLogger("httpcore").setLevel(logging.WARNING)
+logging.getLogger("pydantic").setLevel(logging.WARNING)
 
 # Suppress pydantic warnings
 warnings.filterwarnings("ignore", category=UserWarning, module="pydantic")