diff --git a/lib.py b/lib.py
index f20da31..0b1fc07 100644
--- a/lib.py
+++ b/lib.py
@@ -4,6 +4,8 @@ This module provides functionality to generate content using Google's Gemini mod
 with Vertex AI RAG (Retrieval-Augmented Generation) support.
 """
 
+from llm_config import generate_content_config
+import logging
 import asyncio
 import json
 import os
@@ -13,7 +15,8 @@ from google.genai import types
 from google.oauth2 import service_account
 from dotenv import load_dotenv
 
-from llm_config import generate_content_config
+logger = logging.getLogger(__name__)
+
 
 # Load environment variables from .env file
 load_dotenv()
@@ -31,9 +34,14 @@ def get_credentials():
     """
     # Try to load credentials from JSON content directly
     credentials_json = os.getenv("GOOGLE_CREDENTIALS_JSON")
+
+    logger.info(f"creds JSON: {credentials_json}")
+
     if credentials_json:
         try:
             credentials_info = json.loads(credentials_json)
+            logger.info(f"creds JSON parsed: {credentials_info}")
+
             return service_account.Credentials.from_service_account_info(
                 credentials_info
             )
@@ -42,6 +50,9 @@ def get_credentials():
 
     # Fall back to file-based credentials (standard behavior)
     credentials_path = os.getenv("GOOGLE_APPLICATION_CREDENTIALS")
+
+    logger.info(f"creds path: {credentials_path}")
+
     if credentials_path and os.path.exists(credentials_path):
         return service_account.Credentials.from_service_account_file(
             credentials_path
@@ -79,6 +90,9 @@ async def generate(prompt: str):
         """Run the synchronous streaming in a separate thread."""
         try:
             credentials = get_credentials()
+
+            logger.info(f"credentials: {credentials}")
+
             client = genai.Client(vertexai=True, credentials=credentials)
 
             contents = [