fix: align env-var defaults with image spec requirements

inference.py

@@ -18,13 +18,16 @@ from env.models import Action, AgentResponse, AgentState
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 logger = logging.getLogger(__name__)
 
+# Module-level environment variables
+LOCAL_IMAGE_NAME = os.getenv("LOCAL_IMAGE_NAME")
+
 def setup_openai_client() -> tuple[OpenAI, str]:
     """Initialize OpenAI client from environment variables."""
     
     print("STEP: Initializing OpenAI client")
 
-    API_BASE_URL = os.getenv("API_BASE_URL", "https://router.huggingface.co/v1")
-    MODEL_NAME = os.getenv("MODEL_NAME", "meta-llama/Llama-3-8b-instruct")
+    API_BASE_URL = os.getenv("API_BASE_URL", "<your-active-url>")
+    MODEL_NAME = os.getenv("MODEL_NAME", "<your-active-model>")
     HF_TOKEN = os.getenv("HF_TOKEN")
 
     if not HF_TOKEN:
@@ -408,12 +411,15 @@ def train_agent(num_episodes: int = 10) -> AgentState:
 def main():
     """Main inference loop with RL training."""
     try:
+        # Setup client and get environment variables
+        client, MODEL_NAME = setup_openai_client()
+        
         # Optional Docker support
-        local_image = os.getenv("LOCAL_IMAGE_NAME")
-        if local_image:
-            print(f"START: inference (Docker image: {local_image})")
+        if LOCAL_IMAGE_NAME:
+            print(f"START: inference (Docker image: {LOCAL_IMAGE_NAME})")
         else:
-            print("START: inference")
+            print("START")
+            print("STEP: Starting inference")
         
         # Run RL training
         agent_state = train_agent(num_episodes=10)
@@ -422,7 +428,7 @@ def main():
         return 0
         
     except Exception as e:
-        print(f"END: done")
+        print("END")
         logger.error(f"Inference failed: {e}")
         return 1