Update multiagents.py

multiagents.py

@@ -58,36 +58,20 @@ dotenv.load_dotenv()
 # SETUP AND TEST
 
 
-try:
-    grok_api_key = os.getenv("groq_api")
-
-    #InferenceClientModel InferenceClient
-    My_Agent = InferenceClientModel(
-        provider="groq",
-        api_key=grok_api_key,
-        model_id = "qwen/qwen3-32b"
-    )
-
-    test_messages = [{"role": "user", "content": "What are the 3 laws of robotics"}]
-    output_test = My_Agent(test_messages)
-    print('1', output_test)
-
-except:
-    grok_api_key = os.getenv("groq_api")
-    
-    if not grok_api_key:
-        raise ValueError("GROQ_API_KEY environment variable is not set")
-    
-    # Fixed model initialization - use LiteLLMModel instead of InferenceClientModel for Groq
-    My_Agent = LiteLLMModel(
-        model_id="groq/qwen3-32b",  # Use a valid Groq model ID
-        api_key=grok_api_key,
-        temperature=0.1,
-        max_tokens=4000,
-    )
-    test_messages = [{"role": "user", "content": "What are the 3 laws of robotics"}]
-    output_test = My_Agent(test_messages)
-    print('2', output_test)
+
+grok_api_key = os.getenv("groq_api")
+
+#InferenceClientModel InferenceClient
+My_Agent = InferenceClientModel(
+    provider="groq",
+    api_key=grok_api_key,
+    model_id = "qwen/qwen3-32b"
+)
+
+# test_messages = [{"role": "user", "content": "What are the 3 laws of robotics"}]
+# output_test = My_Agent(test_messages)
+# print('1', output_test)
+
 
 
 # My_Agent = client.chat.completions.create(