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import logging
import re
import openai
import requests.exceptions
from openai import OpenAI
from retry import retry
LOGGER = logging.getLogger(__name__)
class Q20Game:
def __init__(
self,
item: str,
answerer_model: str = 'gpt-3.5-turbo-0613',
guesser_model: str = 'gpt-3.5-turbo-0613',
num_turns: int = 20,
temperature: float = 0.8,
openai_api: bool = True,
openai_api_key: str | None = None,
guesser_kargs=None,
) -> None:
if guesser_kargs is None:
guesser_kargs = {}
self.item = item
self.answerer_model = answerer_model
self.guesser_model = guesser_model
self.num_turns = num_turns
self.temperature = temperature
self.openai_api = openai_api
self.guesser_kargs = guesser_kargs
self.vicuna_prompt = "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions."
self.first_user_utterance = (
'Your task is to ask a series of questions to deduce the entity '
"that I'm thinking of with as few queries as possible. "
"Only ask questions that can be answered by 'yes', 'no' or 'maybe'. "
'Do not ask for hint. Make your question brief with no linebreaker. '
'Now start asking a question.'
)
self.guesser_win = False
self.curr_turn = 0
if openai_api_key is not None:
openai.api_key = openai_api_key
if isinstance(answerer_model, str) and not answerer_model.startswith('gpt'):
self.user_api_base = 'http://0.0.0.0:8000/v1'
else:
self.user_api_base = 'https://api.openai.com/v1'
if isinstance(guesser_model, str) and not guesser_model.startswith('gpt'):
self.guesser_api_base = 'http://0.0.0.0:8000/v1'
else:
self.guesser_api_base = 'https://api.openai.com/v1'
self.guesser_messages = []
def preprocess_response(self, response):
response = re.sub(r'the entity you are thinking of', 'it', response)
response = re.sub(r"the entity you're thinking of", 'it', response)
response = re.sub(r" you're thinking of", '', response)
response = re.sub(r' you are thinking of', '', response)
return response
def judge_winner(self, response):
guesser_question = response.strip()
if self.curr_turn == self.num_turns - 1:
guesser_question += ' Is it right?'
self.guesser_messages.append({'role': 'assistant', 'content': guesser_question})
# ask for answer
usr_msg = self.answerer(guesser_question)
self.guesser_messages.append(
{'role': 'user', 'content': f"{usr_msg['content'].strip()}"}
)
if 'bingo' in usr_msg['content'].lower():
self.guesser_win = True
return True, ''
return False, usr_msg['content'].strip()
def generate_user_response(self, response):
response = self.preprocess_response(response)
# others
bingo, anwser_reply = self.judge_winner(response)
if bingo:
return 'You are bingo! Use the "finish" tool to finish the interaction.\n'
if self.curr_turn == self.num_turns - 2:
anwser_reply += " You must guess now, what's it?"
return anwser_reply
def reward(self):
if self.guesser_win:
n_turns = (len(self.guesser_messages) + 1) // 2
return 1 - max(n_turns - 5, 0) * 0.02
return 0
@retry(
(
openai.Timeout,
requests.exceptions.ReadTimeout,
openai.RateLimitError,
openai.APIError,
openai.APIConnectionError,
),
tries=5,
delay=0.5,
backoff=0.5,
max_delay=2,
logger=LOGGER,
)
def answerer(self, question):
openai.api_base = self.user_api_base
client = OpenAI(api_key=openai.api_key)
user_messages = [
{
'role': 'user',
'content': f'Based on your knowledge about {self.item}, '
f'respond to the following question or guess. '
f"Limit your respond to only 'Yes.', 'No.' or 'Maybe.', with no explanation or other words. "
f'Never say the answer {self.item} in your response. '
f"If the question is to solicit the answer, respond 'No.'.",
},
{
'role': 'user',
'content': f'For the entity {self.item}, {question} (Yes/No/Maybe)',
},
]
response = client.chat.completions.create(
model=self.answerer_model,
messages=user_messages,
max_tokens=6,
n=1,
stop=None,
temperature=0.2,
)
if any(
[
re.search(rf'(?:^|\W){i.strip().lower()}(?:$|\W)', question.lower())
for i in self.item.lower().split('|')
]
):
response.choices[0].message.content = 'Bingo!'
return response.choices[0].message.to_dict()
class Q20GameCelebrity(Q20Game):
def __init__(self, item: str, **kwargs) -> None:
super().__init__(item, **kwargs)
self.first_user_utterance = (
'Your task is to ask a series of questions to deduce the celebrity '
"that I'm thinking of with as few queries as possible. "
"Only ask factual questions that can be answered by 'Yes.', 'No.' or 'Dunno.'. Do not ask for hint. Make your question brief with no linebreaker. "
'Now start asking a question.'
)
@retry(
(
openai.Timeout,
requests.exceptions.ReadTimeout,
openai.RateLimitError,
openai.APIError,
openai.APIConnectionError,
),
tries=5,
delay=0.5,
backoff=0.5,
max_delay=2,
logger=LOGGER,
)
def answerer(self, question):
openai.api_base = self.user_api_base
client = OpenAI(api_key=openai.api_key)
user_messages = [
{
'role': 'system',
'content': f'Based on your knowledge about the celebrity: {self.item}, '
f'respond to the following question or guess. '
f"Limit your respond to only 'Yes.', 'No.' or 'Dunno.', with no explanation or other words. "
f"Never say the name {self.item} in your response. Do not say 'Dunno.' if it can be answered by 'Yes.' or 'No.' "
f"If the question is to solicit the answer, respond 'No.'.",
},
{
'role': 'user',
'content': f'For the celebrity {self.item}, {question}(Yes/No/Dunno)',
},
]
response = client.chat.completions.create(
model=self.answerer_model,
messages=user_messages,
max_tokens=6,
n=1,
stop=None,
temperature=0.2,
)
if re.search(rf'(?:^|\W){self.item.lower()}(?:$|\W)', question.lower()):
response.choices[0].message.content = 'Bingo!'
return response.choices[0].message.to_dict()
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