Instituting LLM fallback to OpenAI if gaming PC is not on

llm.py

@@ -4,9 +4,14 @@ from ollama import Client
 from openai import OpenAI
 
 import logging
+from dotenv import load_dotenv
+
+load_dotenv()
 
 logging.basicConfig(level=logging.INFO)
 
+TRY_OLLAMA = os.getenv("TRY_OLLAMA", False)
+
 
 class LLMClient:
     def __init__(self):
@@ -30,7 +35,9 @@ class LLMClient:
         prompt: str,
         system_prompt: str,
     ):
+        # Instituting a fallback if my gaming PC is not on
         if self.PROVIDER == "ollama":
+            try:
                 response = self.ollama_client.chat(
                     model="gemma3:4b",
                     messages=[
@@ -41,9 +48,11 @@ class LLMClient:
                         {"role": "user", "content": prompt},
                     ],
                 )
-            print(response)
                 output = response.message.content
-        elif self.PROVIDER == "openai":
+                return output
+            except Exception as e:
+                logging.error(f"Could not connect to OLLAMA: {str(e)}")
+
         response = self.openai_client.responses.create(
             model="gpt-4o-mini",
             input=[