diff --git a/reverie/backend_server/input.txt b/reverie/backend_server/input.txt
new file mode 100644
index 00000000..9acfe613
--- /dev/null
+++ b/reverie/backend_server/input.txt
@@ -0,0 +1,4 @@
+base_the_ville_isabella_maria_klaus
+test-simulation
+run 1
+fin
diff --git a/reverie/backend_server/output.txt b/reverie/backend_server/output.txt
new file mode 100644
index 00000000..8738c6a9
Binary files /dev/null and b/reverie/backend_server/output.txt differ
diff --git a/reverie/backend_server/persona/prompt_template/run_gpt_prompt.py b/reverie/backend_server/persona/prompt_template/run_gpt_prompt.py
index b25615e7..3afe7d3e 100644
--- a/reverie/backend_server/persona/prompt_template/run_gpt_prompt.py
+++ b/reverie/backend_server/persona/prompt_template/run_gpt_prompt.py
@@ -66,7 +66,7 @@ def run_gpt_prompt_wake_up_hour(persona, test_input=None, verbose=False):
     fs = 8
     return fs
 
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 5, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 5, 
              "temperature": 0.8, "top_p": 1, "stream": False,
              "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   prompt_template = "persona/prompt_template/v2/wake_up_hour_v1.txt"
@@ -138,7 +138,7 @@ def run_gpt_prompt_daily_plan(persona,
 
 
   
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 500, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 500, 
                "temperature": 1, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/daily_planning_v6.txt"
@@ -265,7 +265,7 @@ def run_gpt_prompt_generate_hourly_schedule(persona,
   # # ChatGPT Plugin ===========================================================
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0.5, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   prompt_template = "persona/prompt_template/v2/generate_hourly_schedule_v2.txt"
@@ -426,7 +426,7 @@ def run_gpt_prompt_task_decomp(persona,
     fs = ["asleep"]
     return fs
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 1000, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 1000, 
              "temperature": 0, "top_p": 1, "stream": False,
              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/task_decomp_v3.txt"
@@ -602,7 +602,7 @@ def run_gpt_prompt_action_sector(action_description,
 
 
 
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v1/action_location_sector_v1.txt"
@@ -699,7 +699,7 @@ def run_gpt_prompt_action_arena(action_description,
     fs = ("kitchen")
     return fs
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v1/action_location_object_vMar11.txt"
@@ -755,7 +755,7 @@ def run_gpt_prompt_action_game_object(action_description,
     fs = ("bed")
     return fs
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v1/action_object_v2.txt"
@@ -825,7 +825,7 @@ def run_gpt_prompt_pronunciatio(action_description, persona, verbose=False):
     return True
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 4") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/generate_pronunciatio_v1.txt" ########
@@ -844,7 +844,7 @@ def run_gpt_prompt_pronunciatio(action_description, persona, verbose=False):
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 15, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   # prompt_template = "persona/prompt_template/v2/generate_pronunciatio_v1.txt"
@@ -933,7 +933,7 @@ def run_gpt_prompt_event_triple(action_description, persona, verbose=False):
 
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 30, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 30, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   prompt_template = "persona/prompt_template/v2/generate_event_triple_v1.txt"
@@ -1001,7 +1001,7 @@ def run_gpt_prompt_act_obj_desc(act_game_object, act_desp, persona, verbose=Fals
     return True 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 6") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/generate_obj_event_v1.txt" ########
@@ -1018,7 +1018,7 @@ def run_gpt_prompt_act_obj_desc(act_game_object, act_desp, persona, verbose=Fals
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 30, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 30, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   # prompt_template = "persona/prompt_template/v2/generate_obj_event_v1.txt"
@@ -1066,7 +1066,7 @@ def run_gpt_prompt_act_obj_event_triple(act_game_object, act_obj_desc, persona,
     fs = (act_game_object, "is", "idle")
     return fs
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 30, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 30, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": ["\n"]}
   prompt_template = "persona/prompt_template/v2/generate_event_triple_v1.txt"
@@ -1206,7 +1206,7 @@ def run_gpt_prompt_new_decomp_schedule(persona,
 
     return ret
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 1000, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 1000, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/new_decomp_schedule_v1.txt"
@@ -1320,7 +1320,7 @@ def run_gpt_prompt_decide_to_talk(persona, target_persona, retrieved,test_input=
 
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 20, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 20, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/decide_to_talk_v2.txt"
@@ -1418,7 +1418,7 @@ def run_gpt_prompt_decide_to_react(persona, target_persona, retrieved,test_input
     return fs
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 20, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 20, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/decide_to_react_v1.txt"
@@ -1561,7 +1561,7 @@ def run_gpt_prompt_create_conversation(persona, target_persona, curr_loc,
     return convo
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 1000, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 1000, 
                "temperature": 0.7, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/create_conversation_v2.txt"
@@ -1626,7 +1626,7 @@ def run_gpt_prompt_summarize_conversation(persona, conversation, test_input=None
 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 11") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/summarize_conversation_v1.txt" ########
@@ -1642,7 +1642,7 @@ def run_gpt_prompt_summarize_conversation(persona, conversation, test_input=None
   # ChatGPT Plugin ===========================================================
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/summarize_conversation_v1.txt"
@@ -1696,7 +1696,7 @@ def run_gpt_prompt_extract_keywords(persona, description, test_input=None, verbo
   def get_fail_safe(): 
     return []
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/get_keywords_v1.txt"
@@ -1741,7 +1741,7 @@ def run_gpt_prompt_keyword_to_thoughts(persona, keyword, concept_summary, test_i
   def get_fail_safe(): 
     return ""
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 40, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 40, 
                "temperature": 0.7, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/keyword_to_thoughts_v1.txt"
@@ -1796,7 +1796,7 @@ def run_gpt_prompt_convo_to_thoughts(persona,
   def get_fail_safe(): 
     return ""
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 40, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 40, 
                "temperature": 0.7, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/convo_to_thoughts_v1.txt"
@@ -1879,7 +1879,7 @@ def run_gpt_prompt_event_poignancy(persona, event_description, test_input=None,
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 7") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/poignancy_event_v1.txt" ########
@@ -1897,7 +1897,7 @@ def run_gpt_prompt_event_poignancy(persona, event_description, test_input=None,
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 3, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 3, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/poignancy_event_v1.txt"
@@ -1950,7 +1950,7 @@ def run_gpt_prompt_thought_poignancy(persona, event_description, test_input=None
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 8") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/poignancy_thought_v1.txt" ########
@@ -1967,7 +1967,7 @@ def run_gpt_prompt_thought_poignancy(persona, event_description, test_input=None
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 3, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 3, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/poignancy_thought_v1.txt"
@@ -2022,7 +2022,7 @@ def run_gpt_prompt_chat_poignancy(persona, event_description, test_input=None, v
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 9") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/poignancy_chat_v1.txt" ########
@@ -2040,7 +2040,7 @@ def run_gpt_prompt_chat_poignancy(persona, event_description, test_input=None, v
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 3, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 3, 
   #              "temperature": 0, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/poignancy_chat_v1.txt"
@@ -2098,7 +2098,7 @@ def run_gpt_prompt_focal_pt(persona, statements, n, test_input=None, verbose=Fal
 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 12") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/generate_focal_pt_v1.txt" ########
@@ -2118,7 +2118,7 @@ def run_gpt_prompt_focal_pt(persona, statements, n, test_input=None, verbose=Fal
 
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 150, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 150, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/generate_focal_pt_v1.txt"
@@ -2169,7 +2169,7 @@ def run_gpt_prompt_insight_and_guidance(persona, statements, n, test_input=None,
 
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 150, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 150, 
                "temperature": 0.5, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/insight_and_evidence_v1.txt"
@@ -2225,7 +2225,7 @@ def run_gpt_prompt_agent_chat_summarize_ideas(persona, target_persona, statement
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 17") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/summarize_chat_ideas_v1.txt" ########
@@ -2242,7 +2242,7 @@ def run_gpt_prompt_agent_chat_summarize_ideas(persona, target_persona, statement
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 150, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 150, 
   #              "temperature": 0.5, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/summarize_chat_ideas_v1.txt"
@@ -2293,7 +2293,7 @@ def run_gpt_prompt_agent_chat_summarize_relationship(persona, target_persona, st
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 18") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/summarize_chat_relationship_v2.txt" ########
@@ -2309,7 +2309,7 @@ def run_gpt_prompt_agent_chat_summarize_relationship(persona, target_persona, st
   # ChatGPT Plugin ===========================================================
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 150, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 150, 
   #              "temperature": 0.5, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/summarize_chat_relationship_v1.txt"
@@ -2421,7 +2421,7 @@ def run_gpt_prompt_agent_chat(maze, persona, target_persona,
 
 
   # print ("HERE JULY 23 -- ----- ") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/agent_chat_v1.txt" ########
@@ -2442,7 +2442,7 @@ def run_gpt_prompt_agent_chat(maze, persona, target_persona,
 
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 2000, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 2000, 
   #              "temperature": 0.7, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/agent_chat_v1.txt"
@@ -2502,7 +2502,7 @@ def run_gpt_prompt_summarize_ideas(persona, statements, question, test_input=Non
       return False 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 16") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/summarize_ideas_v1.txt" ########
@@ -2518,7 +2518,7 @@ def run_gpt_prompt_summarize_ideas(persona, statements, question, test_input=Non
   # ChatGPT Plugin ===========================================================
 
 
-  # gpt_param = {"engine": "text-davinci-003", "max_tokens": 150, 
+  # gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 150, 
   #              "temperature": 0.5, "top_p": 1, "stream": False,
   #              "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   # prompt_template = "persona/prompt_template/v2/summarize_ideas_v1.txt"
@@ -2593,7 +2593,7 @@ def run_gpt_prompt_generate_next_convo_line(persona, interlocutor_desc, prev_con
 
 
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 250, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 250, 
                "temperature": 1, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/generate_next_convo_line_v1.txt"
@@ -2633,7 +2633,7 @@ def run_gpt_prompt_generate_whisper_inner_thought(persona, whisper, test_input=N
   def get_fail_safe(): 
     return "..."
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/whisper_inner_thought_v1.txt"
@@ -2670,7 +2670,7 @@ def run_gpt_prompt_planning_thought_on_convo(persona, all_utt, test_input=None,
   def get_fail_safe(): 
     return "..."
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/planning_thought_on_convo_v1.txt"
@@ -2721,7 +2721,7 @@ def run_gpt_prompt_memo_on_convo(persona, all_utt, test_input=None, verbose=Fals
 
 
   print ("asdhfapsh8p9hfaiafdsi;ldfj as DEBUG 15") ########
-  gpt_param = {"engine": "text-davinci-002", "max_tokens": 15, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 15, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v3_ChatGPT/memo_on_convo_v1.txt" ########
@@ -2736,7 +2736,7 @@ def run_gpt_prompt_memo_on_convo(persona, all_utt, test_input=None, verbose=Fals
     return output, [output, prompt, gpt_param, prompt_input, fail_safe]
   # ChatGPT Plugin ===========================================================
 
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   prompt_template = "persona/prompt_template/v2/memo_on_convo_v1.txt"
@@ -2790,7 +2790,7 @@ def run_gpt_generate_safety_score(persona, comment, test_input=None, verbose=Fal
                         __chat_func_validate, __chat_func_clean_up, verbose)
   print (output)
   
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   return output, [output, prompt, gpt_param, prompt_input, fail_safe]
@@ -2905,7 +2905,7 @@ def run_gpt_generate_iterative_chat_utt(maze, init_persona, target_persona, retr
                         __chat_func_validate, __chat_func_clean_up, verbose)
   print (output)
   
-  gpt_param = {"engine": "text-davinci-003", "max_tokens": 50, 
+  gpt_param = {"engine": "gpt-3.5-turbo-instruct", "max_tokens": 50, 
                "temperature": 0, "top_p": 1, "stream": False,
                "frequency_penalty": 0, "presence_penalty": 0, "stop": None}
   return output, [output, prompt, gpt_param, prompt_input, fail_safe]
diff --git a/reverie/backend_server/test.py b/reverie/backend_server/test.py
index 41ce2615..4813c0f7 100644
--- a/reverie/backend_server/test.py
+++ b/reverie/backend_server/test.py
@@ -9,10 +9,15 @@ import random
 import openai
 import time 
 
+from gpt4all import GPT4All
 from utils import *
-openai.api_key = openai_api_key
 
-def ChatGPT_request(prompt): 
+if use_openai:
+  openai.api_key = openai_api_key
+else:
+  model = GPT4All("mistral-7b-instruct-v0.1.Q4_0.gguf", device="gpu", n_threads=4)
+
+def GPT_request(prompt): 
   """
   Given a prompt and a dictionary of GPT parameters, make a request to OpenAI
   server and returns the response. 
@@ -25,16 +30,20 @@ def ChatGPT_request(prompt):
     a str of GPT-3's response. 
   """
   # temp_sleep()
-  try: 
-    completion = openai.ChatCompletion.create(
-    model="gpt-3.5-turbo", 
-    messages=[{"role": "user", "content": prompt}]
-    )
-    return completion["choices"][0]["message"]["content"]
-  
-  except: 
-    print ("ChatGPT ERROR")
-    return "ChatGPT ERROR"
+  if use_openai:
+    try: 
+      completion = openai.ChatCompletion.create(
+      model="gpt-3.5-turbo", 
+      messages=[{"role": "user", "content": prompt}]
+      )
+      return completion["choices"][0]["message"]["content"]
+    
+    except: 
+      print ("ChatGPT ERROR")
+      return "ChatGPT ERROR"
+  else:
+    response = model.generate(prompt)
+    return response
 
 prompt = """
 ---
@@ -61,7 +70,7 @@ Example output json:
 {"output": "[["Jane Doe", "Hi!"], ["John Doe", "Hello there!"] ... ]"}
 """
 
-print (ChatGPT_request(prompt))
+print (GPT_request(prompt))