activity init function to load llm client only once

scripts/run_worker.py

@@ -1,6 +1,7 @@
 import asyncio
-
 import concurrent.futures
+import os
+from dotenv import load_dotenv
 
 from temporalio.worker import Worker
 
@@ -11,10 +12,19 @@ from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
 
 
 async def main():
+    # Load environment variables
+    load_dotenv(override=True)
+    
+    # Print LLM configuration info
+    llm_provider = os.environ.get("LLM_PROVIDER", "openai").lower()
+    print(f"Worker will use LLM provider: {llm_provider}")
+    
     # Create the client
     client = await get_temporal_client()
 
+    # Initialize the activities class once with the specified LLM provider
     activities = ToolActivities()
+    print(f"ToolActivities initialized with LLM provider: {llm_provider}")
 
     # Run the worker
     with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor: