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app.py

@@ -498,13 +498,13 @@ def agentic_rag(query: str):
 #================================ Guardrails ===========================#
 llama_guard_client = Groq(api_key=llama_api_key)
 # Function to filter user input with Llama Guard
-def filter_input_with_llama_guard(user_input, model="llama-guard-4-12b"):
+def filter_input_with_llama_guard(user_input, model="meta-llama/llama-guard-4-12b"):
     """
     Filters user input using Llama Guard to ensure it is safe.
 
     Parameters:
     - user_input: The input provided by the user.
-    - model: The Llama Guard model to be used for filtering (default is "llama-guard-4-12b").
+    - model: The Llama Guard model to be used for filtering (default is "meta-llama/llama-guard-4-12b").
 
     Returns:
     - The filtered and safe input.
@@ -964,13 +964,13 @@ def agentic_rag(query: str):
 #================================ Guardrails ===========================#
 llama_guard_client = Groq(api_key=llama_api_key)
 # Function to filter user input with Llama Guard
-def filter_input_with_llama_guard(user_input, model="llama-guard-4-12b"):
+def filter_input_with_llama_guard(user_input, model="meta-llama/llama-guard-4-12b"):
     """
     Filters user input using Llama Guard to ensure it is safe.
 
     Parameters:
     - user_input: The input provided by the user.
-    - model: The Llama Guard model to be used for filtering (default is "llama-guard-4-12b").
+    - model: The Llama Guard model to be used for filtering (default is "meta-llama/llama-guard-4-12b").
 
     Returns:
     - The filtered and safe input.