updated prompt

query.py

@@ -36,7 +36,7 @@ class VectaraQuery():
                 4. Limit your responses to not more than 2 paragraphs."
             }},
             {{
-                "role": "user",
+                "role": "assistant",
                 "content": "
                     #foreach ($qResult in $vectaraQueryResults)
                         Search result $esc.java(${{foreach.index}}+1): $esc.java(${{qResult.getText()}})
@@ -47,6 +47,7 @@ class VectaraQuery():
                 "role": "user",
                 "content": "provide a convincing reply {role} {topic}, in response to the last argument: '{user_response}'.
                 Consider the search results as relevant information with which to form your response, but do not mention the results in your response.
+                A summary of arguments in the debate so far is: '$esc.java(${{vectaraQuery}})'.
                 Use the {style} debate style to make your argument.
                 Do not repeat earlier arguments and make sure your new response is coherent with the previous arguments."
             }}
@@ -56,7 +57,7 @@ class VectaraQuery():
         return {
             'query': [
                 { 
-                    'query': f"{role} {topic}, how would you respond?",
+                    'query': f"how would you respond?",
                     'start': 0,
                     'numResults': 50,
                     'corpusKey': corpora_key_list,