DEBUG: llModel

functions.py

@@ -208,7 +208,7 @@ def trimMessages(chain_input):
     return True
 
 
-def answerQuery(query: str, vectorstore: str, llmModel: str = "llama3-70b-8192") -> str:
+def answerQuery(query: str, vectorstore: str, llmModel: str = "llama-3.1-70b-versatile") -> str:
     global prompt
     global client
     global sources
@@ -242,7 +242,7 @@ def answerQuery(query: str, vectorstore: str, llmModel: str = "llama3-70b-8192")
         history_messages_key="chatHistory"
     )
     chain = RunnablePassthrough.assign(messages_trimmed=trimMessages) | messageChain
-    followUpChain = followUpPrompt | ChatGroq(model_name="gemma2-9b-it", temperature=0) | jsonParser
+    followUpChain = followUpPrompt | ChatGroq(model_name="llama-3.1-70b-versatile", temperature=0) | jsonParser
     output = chain.invoke(
             {"question": query},
             {"configurable": {"session_id": vectorStoreName}}