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api_utils.py
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api_utils.py
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import openai
import time
import random
from wrapt_timeout_decorator import timeout
openai.api_type = "azure"
openai.api_base = ""
openai.api_version = ""
openai.api_key = ""
@timeout(200) # 200 seconds timeout
def generate_response_multiagent(engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, system_role, user_input):
print("Generating response for engine: ", engine)
start_time = time.time()
response = openai.ChatCompletion.create(
engine=engine, # engine is the name of the deployment
temperature=temperature,
max_tokens=max_tokens,
top_p=1, # top_p的意思是选择概率质量值之和达到top_p的概率分布采样结果
frequency_penalty=frequency_penalty,
presence_penalty=presence_penalty,
stop=stop,
messages=[
{"role": "system", "content": system_role},
{"role": "user", "content": user_input}
],
)
end_time = time.time()
print('Finish!')
print("Time taken: ", end_time - start_time)
return response
@timeout(10) # 10 seconds timeout
def generate_response(engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, input_text):
print("Generating response for engine: ", engine)
start_time = time.time()
response = openai.ChatCompletion.create(
engine=engine, # engine is the name of the deployment
temperature=temperature,
max_tokens=max_tokens,
top_p=1, # top_p的意思是选择概率质量值之和达到top_p的概率分布采样结果
frequency_penalty=frequency_penalty,
presence_penalty=presence_penalty,
stop=stop,
messages=[{"role": "user", "content": input_text}],
)
end_time = time.time()
print('Finish!')
print("Time taken: ", end_time - start_time)
return response
@timeout(20) # 20 seconds timeout
def generate_response_ins(engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, input_text, suffix, echo):
print("Generating response for engine: ", engine)
start_time = time.time()
response = openai.Completion.create(
engine=engine,
prompt=input_text,
temperature=temperature,
max_tokens=max_tokens,
top_p=1,
suffix=suffix,
frequency_penalty=frequency_penalty,
presence_penalty=presence_penalty,
stop=stop,
echo=echo,
logprobs=1,
)
end_time = time.time()
print('Finish!')
print("Time taken: ", end_time - start_time)
return response
class api_handler:
def __init__(self, model):
self.model = model
if self.model == 'instructgpt':
self.engine = 'text-davinci-002'
elif self.model == 'instructgpt-gen':
self.engine = 'text-davinci-002'
elif self.model == 'newinstructgpt':
self.engine = 'text-davinci-003'
elif self.model == 'oldinstructgpt':
self.engine = 'text-davinci-001'
elif self.model == 'gpt3':
self.engine = 'davinci'
elif self.model == 'codex':
self.engine = 'code-davinci-002'
elif self.model == 'gpt3-edit':
self.engine = 'text-davinci-edit-001'
elif self.model == 'codex-edit':
self.engine = 'code-davinci-edit-001'
elif self.model == 'chatgpt':
self.engine = 'gpt-35-turbo-16k'
elif self.model == 'gpt4':
self.engine = 'gpt-4'
else:
raise NotImplementedError
def get_output_multiagent(self, system_role, user_input, max_tokens, temperature=0,
frequency_penalty=0, presence_penalty=0, stop=None):
max_attempts = 3
for attempt in range(max_attempts):
try:
response = generate_response_multiagent(self.engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, system_role, user_input)
if response.choices and response.choices[0].message and "content" in response.choices[0].message:
return response.choices[0].message["content"]
else:
return "ERROR."
except (TimeoutError, openai.error.Timeout, Exception) as error:
print(f'Attempt {attempt+1} of {max_attempts} failed with error: {error}')
if attempt == max_attempts - 1:
return "ERROR."
def get_output(self, input_text, max_tokens, temperature=0,
suffix=None, stop=None, do_tunc=False, echo=False, ban_pronoun=False,
frequency_penalty=0, presence_penalty=0, return_prob=False):
try:
response = generate_response(self.engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, input_text)
except (TimeoutError, openai.error.Timeout, Exception):
print("Timeout")
try:
response = generate_response(self.engine, temperature, max_tokens, frequency_penalty, presence_penalty, stop, input_text)
except (TimeoutError, openai.error.Timeout, Exception):
print("Timeout occurred again. Exiting.")
response = "ERROR."
return response # 直接返回空字符串
if response.choices and response.choices[0].message and "content" in response.choices[0].message:
x = response.choices[0].message["content"]
else:
print(response)
x = "ERROR." # 或者设置一个默认值 防止生成的response没有content造成问题
return x
if do_tunc: # do_tunc的意思是是否要截断 保证返回的值里没有换行符，Q:，Question:等
y = x.strip() # strip() 方法用于移除字符串头尾指定的字符（默认为空格或换行符）或字符序列。
if '\n' in y:
pos = y.find('\n') # 这里的意思是找到第一个换行符的位置
y = y[:pos] # 这里的意思是把第一个换行符之前的内容保留
if 'Q:' in y:
pos = y.find('Q:')
y = y[:pos]
if 'Question:' in y:
pos = y.find('Question:')
y = y[:pos]
assert not ('\n' in y)
if not return_prob:
return y
if not return_prob:
return x
# pdb.set_trace()
output_token_offset_real, output_token_tokens_real, output_token_probs_real = [], [], []
return x, (output_token_offset_real, output_token_tokens_real, output_token_probs_real)
"""
(Pdb) x
' Academy Award because The Curious Case of Benjamin Button won three Academy Awards, which are given by the Academy of Motion Picture Arts and Sciences.'
(Pdb) output_token_offset_real
[0, 8, 14, 22, 26, 34, 39, 42, 51, 58, 62, 68, 76, 83, 84, 90, 94, 100, 103, 107, 115, 118, 125, 133, 138, 142, 151]
(Pdb) output_token_tokens_real
[' Academy', ' Award', ' because', ' The', ' Curious', ' Case', ' of', ' Benjamin', ' Button', ' won', ' three', ' Academy', ' Awards', ',', ' which', ' are', ' given', ' by', ' the', ' Academy', ' of', ' Motion', ' Picture', ' Arts', ' and', ' Sciences', '.']
(Pdb) output_token_probs_real
[-0.7266144, -0.68505085, -0.044669915, -0.00023392851, -0.0021017971, -2.1768952e-05, -1.1430258e-06, -6.827632e-08, -3.01145e-05, -1.2231317e-05, -0.07086051, -2.7967804e-05, -6.6619094e-07, -0.41155097, -0.0020535963, -0.0021325003, -0.6671403, -0.51776046, -0.00014945272, -0.41470888, -3.076318e-07, -3.583558e-05, -2.9311614e-06, -3.869565e-05, -1.1430258e-06, -9.606849e-06, -0.017712338]
"""
# except Exception as e:
# if 'You exceeded your current quota, please check your plan and billing details.' in str(e):
# print("Exit because no quota")
# exit()
# time.sleep(2 * self.interval)
# return self.get_output(input_text, max_tokens, temperature=temperature,
# suffix=suffix, stop=stop, do_tunc=do_tunc, echo=echo, ban_pronoun=ban_pronoun,
# frequency_penalty=frequency_penalty, presence_penalty=presence_penalty, return_prob=return_prob)