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import time
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, List, Optional, Union
import requests
from opencompass.utils.prompt import PromptList
from .base_api import BaseAPIModel
PromptType = Union[PromptList, str]
class AI360GPT(BaseAPIModel):
"""Model wrapper around 360 GPT.
Documentations: https://ai.360.com/platform/docs/overview
Args:
path (str): Model name
key (str): Provide API Key
url (str): Provided URL
query_per_second (int): The maximum queries allowed per second
between two consecutive calls of the API. Defaults to 2.
max_seq_len (int): Unused here.
meta_template (Dict, optional): The model's meta prompt
template if needed, in case the requirement of injecting or
wrapping of any meta instructions.
retry (int): Number of retires if the API call fails. Defaults to 2.
"""
def __init__(
self,
path: str, # model name, e.g.: 360GPT_S2_V9
key: str,
url: str = 'https://api.360.cn/v1/chat/completions',
query_per_second: int = 2,
max_seq_len: int = 2048,
meta_template: Optional[Dict] = None,
retry: int = 2,
generation_kwargs: Dict = {
'temperature': 0.9,
'max_tokens': 2048,
'top_p': 0.5,
'tok_k': 0,
'repetition_penalty': 1.05,
}): # noqa E125
super().__init__(path=path,
max_seq_len=max_seq_len,
query_per_second=query_per_second,
meta_template=meta_template,
retry=retry,
generation_kwargs=generation_kwargs)
self.headers = {
'Authorization': f'Bearer {key}',
'Content-Type': 'application/json',
}
self.model = path
self.url = url
def generate(
self,
inputs: List[str or PromptList],
max_out_len: int = 512,
) -> List[str]:
"""Generate results given a list of inputs.
Args:
inputs (List[str or PromptList]): A list of strings or PromptDicts.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
List[str]: A list of generated strings.
"""
with ThreadPoolExecutor() as executor:
results = list(
executor.map(self._generate, inputs,
[max_out_len] * len(inputs)))
self.flush()
return results
def _generate(
self,
input: str or PromptList,
max_out_len: int = 512,
) -> str:
"""Generate results given an input.
Args:
inputs (str or PromptList): A string or PromptDict.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
str: The generated string.
"""
assert isinstance(input, (str, PromptList))
if isinstance(input, str):
messages = [{'role': 'user', 'content': input}]
else:
messages = []
for item in input:
msg = {'content': item['prompt']}
if item['role'] == 'HUMAN':
msg['role'] = 'user'
elif item['role'] == 'BOT':
msg['role'] = 'assistant'
elif item['role'] == 'SYSTEM':
msg['role'] = 'system'
messages.append(msg)
data = {
'model': self.model,
'messages': messages,
'stream': False,
# "user": "OpenCompass"
}
data.update(self.generation_kwargs)
max_num_retries = 0
while max_num_retries < self.retry:
self.acquire()
# payload = json.dumps(data)
raw_response = requests.request('POST',
url=self.url,
headers=self.headers,
json=data)
response = raw_response.json()
self.release()
if response is None:
print('Connection error, reconnect.')
# if connect error, frequent requests will casuse
# continuous unstable network, therefore wait here
# to slow down the request
self.wait()
continue
if raw_response.status_code == 200:
try:
msg = response['choices'][0]['message']['content'].strip()
return msg
except KeyError:
if 'error' in response:
# tpm(token per minitue) limit
if response['erro']['code'] == '1005':
time.sleep(1)
continue
self.logger.error('Find error message in response: ',
str(response['error']))
# sensitive content, prompt overlength, network error
# or illegal prompt
if (raw_response.status_code == 400
or raw_response.status_code == 401
or raw_response.status_code == 402
or raw_response.status_code == 429
or raw_response.status_code == 500):
print(raw_response.text)
continue
print(raw_response)
max_num_retries += 1
raise RuntimeError(raw_response.text)
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