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 YiAPI(BaseAPIModel): """Model wrapper around YiAPI. Documentation: Args: path (str): The name of YiAPI model. e.g. `moonshot-v1-32k` 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, url: str, query_per_second: int = 2, max_seq_len: int = 2048, meta_template: Optional[Dict] = None, retry: int = 2, system_prompt: str = '', ): super().__init__(path=path, max_seq_len=max_seq_len, query_per_second=query_per_second, meta_template=meta_template, retry=retry) self.headers = { 'Content-Type': 'application/json', 'Authorization': 'Bearer ' + key, } self.url = url self.model = path self.system_prompt = system_prompt def generate( self, inputs: List[PromptType], max_out_len: int = 512, ) -> List[str]: """Generate results given a list of inputs. Args: inputs (List[PromptType]): 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: PromptType, max_out_len: int = 512, ) -> str: """Generate results given an input. Args: inputs (PromptType): 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 = [] msg_buffer, last_role = [], None for item in input: item['role'] = 'assistant' if item['role'] == 'BOT' else 'user' if item['role'] != last_role and last_role is not None: messages.append({ 'content': '\n'.join(msg_buffer), 'role': last_role }) msg_buffer = [] msg_buffer.append(item['prompt']) last_role = item['role'] messages.append({ 'content': '\n'.join(msg_buffer), 'role': last_role }) if self.system_prompt: system = {'role': 'system', 'content': self.system_prompt} messages.insert(0, system) data = { 'model': self.model, 'messages': messages, 'max_tokens': max_out_len } 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) except Exception as err: print('Request Error:{}'.format(err)) time.sleep(2) continue try: response = raw_response.json() except Exception as err: print('Response Error:{}'.format(err)) response = None 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['choices'][0]['message']['content'] self.logger.debug(f'Generated: {msg}') return msg if raw_response.status_code == 401: print('请求被拒绝 api_key错误') continue elif raw_response.status_code == 400: print(messages, response) print('请求失败,状态码:', raw_response) msg = 'The request was rejected because high risk' return msg elif raw_response.status_code == 429: print(messages, response) print('请求失败,状态码:', raw_response) time.sleep(5) continue else: print(messages, response) print('请求失败,状态码:', raw_response) time.sleep(1) max_num_retries += 1 raise RuntimeError(raw_response)