from __future__ import annotations import json import logging import traceback import colorama import requests from .. import shared from ..config import retrieve_proxy, sensitive_id, usage_limit from ..index_func import * from ..presets import * from ..utils import * from .base_model import BaseLLMModel class OpenAIClient(BaseLLMModel): def __init__( self, model_name, api_key, system_prompt=INITIAL_SYSTEM_PROMPT, temperature=1.0, top_p=1.0, user_name="" ) -> None: super().__init__( model_name=model_name, temperature=temperature, top_p=top_p, system_prompt=system_prompt, user=user_name ) self.api_key = api_key self.need_api_key = True self._refresh_header() def get_answer_stream_iter(self): response = self._get_response(stream=True) if response is not None: iter = self._decode_chat_response(response) partial_text = "" for i in iter: partial_text += i yield partial_text else: yield STANDARD_ERROR_MSG + GENERAL_ERROR_MSG def get_answer_at_once(self): response = self._get_response() response = json.loads(response.text) content = response["choices"][0]["message"]["content"] total_token_count = response["usage"]["total_tokens"] return content, total_token_count def count_token(self, user_input): input_token_count = count_token(construct_user(user_input)) if self.system_prompt is not None and len(self.all_token_counts) == 0: system_prompt_token_count = count_token( construct_system(self.system_prompt) ) return input_token_count + system_prompt_token_count return input_token_count def billing_info(self): try: curr_time = datetime.datetime.now() last_day_of_month = get_last_day_of_month( curr_time).strftime("%Y-%m-%d") first_day_of_month = curr_time.replace(day=1).strftime("%Y-%m-%d") usage_url = f"{shared.state.usage_api_url}?start_date={first_day_of_month}&end_date={last_day_of_month}" try: usage_data = self._get_billing_data(usage_url) except Exception as e: # logging.error(f"获取API使用情况失败: " + str(e)) if "Invalid authorization header" in str(e): return i18n("**获取API使用情况失败**，需在填写`config.json`中正确填写sensitive_id") elif "Incorrect API key provided: sess" in str(e): return i18n("**获取API使用情况失败**，sensitive_id错误或已过期") return i18n("**获取API使用情况失败**") # rounded_usage = "{:.5f}".format(usage_data["total_usage"] / 100) rounded_usage = round(usage_data["total_usage"] / 100, 5) usage_percent = round(usage_data["total_usage"] / usage_limit, 2) from ..webui import get_html # return i18n("**本月使用金额** ") + f"\u3000 ${rounded_usage}" return get_html("billing_info.html").format( label = i18n("本月使用金额"), usage_percent = usage_percent, rounded_usage = rounded_usage, usage_limit = usage_limit ) except requests.exceptions.ConnectTimeout: status_text = ( STANDARD_ERROR_MSG + CONNECTION_TIMEOUT_MSG + ERROR_RETRIEVE_MSG ) return status_text except requests.exceptions.ReadTimeout: status_text = STANDARD_ERROR_MSG + READ_TIMEOUT_MSG + ERROR_RETRIEVE_MSG return status_text except Exception as e: import traceback traceback.print_exc() logging.error(i18n("获取API使用情况失败:") + str(e)) return STANDARD_ERROR_MSG + ERROR_RETRIEVE_MSG def set_token_upper_limit(self, new_upper_limit): pass @shared.state.switching_api_key # 在不开启多账号模式的时候，这个装饰器不会起作用 def _get_response(self, stream=False): openai_api_key = self.api_key system_prompt = self.system_prompt history = self.history logging.debug(colorama.Fore.YELLOW + f"{history}" + colorama.Fore.RESET) headers = { "Content-Type": "application/json", "Authorization": f"Bearer {openai_api_key}", } if system_prompt is not None: history = [construct_system(system_prompt), *history] payload = { "model": self.model_name, "messages": history, "temperature": self.temperature, "top_p": self.top_p, "n": self.n_choices, "stream": stream, "presence_penalty": self.presence_penalty, "frequency_penalty": self.frequency_penalty, } if self.max_generation_token is not None: payload["max_tokens"] = self.max_generation_token if self.stop_sequence is not None: payload["stop"] = self.stop_sequence if self.logit_bias is not None: payload["logit_bias"] = self.logit_bias if self.user_identifier: payload["user"] = self.user_identifier if stream: timeout = TIMEOUT_STREAMING else: timeout = TIMEOUT_ALL # 如果有自定义的api-host，使用自定义host发送请求，否则使用默认设置发送请求 if shared.state.chat_completion_url != CHAT_COMPLETION_URL: logging.debug(f"使用自定义API URL: {shared.state.chat_completion_url}") with retrieve_proxy(): try: response = requests.post( shared.state.chat_completion_url, headers=headers, json=payload, stream=stream, timeout=timeout, ) except: traceback.print_exc() return None return response def _refresh_header(self): self.headers = { "Content-Type": "application/json", "Authorization": f"Bearer {sensitive_id}", } def _get_billing_data(self, billing_url): with retrieve_proxy(): response = requests.get( billing_url, headers=self.headers, timeout=TIMEOUT_ALL, ) if response.status_code == 200: data = response.json() return data else: raise Exception( f"API request failed with status code {response.status_code}: {response.text}" ) def _decode_chat_response(self, response): error_msg = "" for chunk in response.iter_lines(): if chunk: chunk = chunk.decode() chunk_length = len(chunk) try: chunk = json.loads(chunk[6:]) except: print(i18n("JSON解析错误,收到的内容: ") + f"{chunk}") error_msg += chunk continue try: if chunk_length > 6 and "delta" in chunk["choices"][0]: if "finish_reason" in chunk["choices"][0]: finish_reason = chunk["choices"][0]["finish_reason"] else: finish_reason = chunk["finish_reason"] if finish_reason == "stop": break try: yield chunk["choices"][0]["delta"]["content"] except Exception as e: # logging.error(f"Error: {e}") continue except: print(f"ERROR: {chunk}") continue if error_msg and not error_msg=="data: [DONE]": raise Exception(error_msg) def set_key(self, new_access_key): ret = super().set_key(new_access_key) self._refresh_header() return ret def _single_query_at_once(self, history, temperature=1.0): timeout = TIMEOUT_ALL headers = { "Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}", "temperature": f"{temperature}", } payload = { "model": self.model_name, "messages": history, } # 如果有自定义的api-host，使用自定义host发送请求，否则使用默认设置发送请求 if shared.state.chat_completion_url != CHAT_COMPLETION_URL: logging.debug(f"使用自定义API URL: {shared.state.chat_completion_url}") with retrieve_proxy(): response = requests.post( shared.state.chat_completion_url, headers=headers, json=payload, stream=False, timeout=timeout, ) return response def auto_name_chat_history(self, name_chat_method, user_question, chatbot, user_name, single_turn_checkbox): if len(self.history) == 2 and not single_turn_checkbox and not hide_history_when_not_logged_in: user_question = self.history[0]["content"] if name_chat_method == i18n("模型自动总结（消耗tokens）"): ai_answer = self.history[1]["content"] try: history = [ { "role": "system", "content": SUMMARY_CHAT_SYSTEM_PROMPT}, { "role": "user", "content": f"Please write a title based on the following conversation:\n---\nUser: {user_question}\nAssistant: {ai_answer}"} ] response = self._single_query_at_once(history, temperature=0.0) response = json.loads(response.text) content = response["choices"][0]["message"]["content"] filename = replace_special_symbols(content) + ".json" except Exception as e: logging.info(f"自动命名失败。{e}") filename = replace_special_symbols(user_question)[:16] + ".json" return self.rename_chat_history(filename, chatbot, user_name) elif name_chat_method == i18n("第一条提问"): filename = replace_special_symbols(user_question)[:16] + ".json" return self.rename_chat_history(filename, chatbot, user_name) else: return gr.update() else: return gr.update()