File size: 6,316 Bytes
256a159 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 |
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 MiniMax(BaseAPIModel):
"""Model wrapper around MiniMax.
Documentation: https://api.minimax.chat/document/guides/chat-pro
Args:
path (str): The name of MiniMax model.
e.g. `abab5.5-chat`
model_type (str): The type of the model
e.g. `chat`
group_id (str): The id of group(like the org ID of group)
key (str): Authorization key.
query_per_second (int): The maximum queries allowed per second
between two consecutive calls of the API. Defaults to 1.
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,
key: str,
group_id: str,
model_type: str = 'chat',
url:
str = 'https://api.minimax.chat/v1/text/chatcompletion_pro?GroupId=',
query_per_second: int = 2,
max_seq_len: int = 2048,
meta_template: Optional[Dict] = None,
retry: int = 2,
):
super().__init__(path=path,
max_seq_len=max_seq_len,
query_per_second=query_per_second,
meta_template=meta_template,
retry=retry)
self.headers = {
'Authorization': f'Bearer {key}',
'Content-Type': 'application/json',
}
self.type = model_type
self.url = url + group_id
self.model = path
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 Test'
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 = [{
'sender_type': 'USER',
'sender_name': 'Test',
'text': input
}]
else:
messages = []
for item in input:
msg = {'text': item['prompt']}
if item['role'] == 'HUMAN':
msg['sender_type'] = 'USER'
msg['sender_name'] = 'Test'
elif item['role'] == 'BOT':
msg['sender_type'] = 'BOT'
msg['sender_name'] = 'MM智能助理'
messages.append(msg)
data = {
'bot_setting': [{
'bot_name':
'MM智能助理',
'content':
'MM智能助理是一款由MiniMax自研的，没有调用其他产品的接口的大型语言模型。' +
'MiniMax是一家中国科技公司，一直致力于进行大模型相关的研究。'
}],
'reply_constraints': {
'sender_type': 'BOT',
'sender_name': 'MM智能助理'
},
'model':
self.model,
'messages':
messages
}
max_num_retries = 0
while max_num_retries < self.retry:
self.acquire()
try:
raw_response = requests.request('POST',
url=self.url,
headers=self.headers,
json=data)
response = raw_response.json()
except Exception as err:
print('Request Error:{}'.format(err))
time.sleep(3)
continue
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:
# msg = json.load(response.text)
# response
msg = response['reply']
# msg = response['choices']['messages']['text']
return msg
# sensitive content, prompt overlength, network error
# or illegal prompt
if (response.status_code == 1000 or response.status_code == 1001
or response.status_code == 1002
or response.status_code == 1004
or response.status_code == 1008
or response.status_code == 1013
or response.status_code == 1027
or response.status_code == 1039
or response.status_code == 2013):
print(response.text)
time.sleep(1)
continue
print(response)
max_num_retries += 1
raise RuntimeError(response.text)
|