镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
Merge Latest Frontier (#1991)
* logging sys to loguru: stage 1 complete * import loguru: stage 2 * logging -> loguru: stage 3 * support o1-preview and o1-mini * logging -> loguru stage 4 * update social helper * logging -> loguru: final stage * fix: console output * update translation matrix * fix: loguru argument error with proxy enabled (#1977) * relax llama index version * remove comment * Added some modules to support openrouter (#1975) * Added some modules for supporting openrouter model Added some modules for supporting openrouter model * Update config.py * Update .gitignore * Update bridge_openrouter.py * Not changed actually * Refactor logging in bridge_openrouter.py --------- Co-authored-by: binary-husky <qingxu.fu@outlook.com> * remove logging extra --------- Co-authored-by: Steven Moder <java20131114@gmail.com> Co-authored-by: Ren Lifei <2602264455@qq.com>
这个提交包含在:
@@ -1,11 +1,13 @@
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from toolbox import update_ui
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from toolbox import CatchException, get_conf, markdown_convertion
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from request_llms.bridge_all import predict_no_ui_long_connection
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from crazy_functions.crazy_utils import input_clipping
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from crazy_functions.agent_fns.watchdog import WatchDog
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from request_llms.bridge_all import predict_no_ui_long_connection
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from crazy_functions.live_audio.aliyunASR import AliyunASR
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from loguru import logger
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import threading, time
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import numpy as np
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from .live_audio.aliyunASR import AliyunASR
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import json
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import re
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@@ -42,9 +44,9 @@ class AsyncGptTask():
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gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, llm_kwargs=llm_kwargs, history=history, sys_prompt=sys_prompt,
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observe_window=observe_window[index], console_slience=True)
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except ConnectionAbortedError as token_exceed_err:
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print('至少一个线程任务Token溢出而失败', e)
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logger.error('至少一个线程任务Token溢出而失败', e)
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except Exception as e:
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print('至少一个线程任务意外失败', e)
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logger.error('至少一个线程任务意外失败', e)
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def add_async_gpt_task(self, i_say, chatbot_index, llm_kwargs, history, system_prompt):
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self.observe_future.append([""])
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