int/gpt_academic
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镜像自地址 https://github.com/binary-husky/gpt_academic.git 已同步 2025-12-06 06:26:47 +00:00
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log user name during chat

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binary-husky
2024-11-10 16:50:24 +00:00
父节点 197287fc30
当前提交 82e125d439
共有 12 个文件被更改，包括 19 次插入 和 17 次删除
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4
request_llms/bridge_chatgpt.py
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@@ -341,7 +341,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
# 前者是API2D的结束条件，后者是OPENAI的结束条件
if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0):
# 判定为数据流的结束，gpt_replying_buffer也写完了
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
break
# 处理数据流的主体
status_text = f"finish_reason: {chunkjson['choices'][0].get('finish_reason', 'null')}"
@@ -375,7 +375,7 @@ def handle_o1_model_special(response, inputs, llm_kwargs, chatbot, history):
try:
chunkjson = json.loads(response.content.decode())
gpt_replying_buffer = chunkjson['choices'][0]["message"]["content"]
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
history[-1] = gpt_replying_buffer
chatbot[-1] = (history[-2], history[-1])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

2
request_llms/bridge_chatgpt_vision.py
查看文件

@@ -184,7 +184,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
# 判定为数据流的结束，gpt_replying_buffer也写完了
lastmsg = chatbot[-1][-1] + f"\n\n\n\n「{llm_kwargs['llm_model']}调用结束，该模型不具备上下文对话能力，如需追问，请及时切换模型。」"
yield from update_ui_lastest_msg(lastmsg, chatbot, history, delay=1)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
break
# 处理数据流的主体
status_text = f"finish_reason: {chunkjson['choices'][0].get('finish_reason', 'null')}"

2
request_llms/bridge_claude.py
查看文件

@@ -216,7 +216,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if need_to_pass:
pass
elif is_last_chunk:
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
# logger.info(f'[response] {gpt_replying_buffer}')
break
else:

2
request_llms/bridge_cohere.py
查看文件

@@ -223,7 +223,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
chatbot[-1] = (history[-2], history[-1])
yield from update_ui(chatbot=chatbot, history=history, msg="正常") # 刷新界面
if chunkjson['event_type'] == 'stream-end':
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
history[-1] = gpt_replying_buffer
chatbot[-1] = (history[-2], history[-1])
yield from update_ui(chatbot=chatbot, history=history, msg="正常") # 刷新界面

2
request_llms/bridge_google_gemini.py
查看文件

@@ -109,7 +109,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
gpt_replying_buffer += paraphrase['text'] # 使用 json 解析库进行处理
chatbot[-1] = (inputs, gpt_replying_buffer)
history[-1] = gpt_replying_buffer
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
yield from update_ui(chatbot=chatbot, history=history)
if error_match:
history = history[-2] # 错误的不纳入对话

2
request_llms/bridge_moonshot.py
查看文件

@@ -166,7 +166,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
history = history[:-2]
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
break
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_bro_result)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_bro_result, user_name=chatbot.get_user())
def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None,
console_slience=False):

4
request_llms/bridge_openrouter.py
查看文件

@@ -337,7 +337,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
# 前者是API2D的结束条件，后者是OPENAI的结束条件
if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0):
# 判定为数据流的结束，gpt_replying_buffer也写完了
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
break
# 处理数据流的主体
status_text = f"finish_reason: {chunkjson['choices'][0].get('finish_reason', 'null')}"
@@ -371,7 +371,7 @@ def handle_o1_model_special(response, inputs, llm_kwargs, chatbot, history):
try:
chunkjson = json.loads(response.content.decode())
gpt_replying_buffer = chunkjson['choices'][0]["message"]["content"]
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer, user_name=chatbot.get_user())
history[-1] = gpt_replying_buffer
chatbot[-1] = (history[-2], history[-1])
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

2
request_llms/bridge_qwen.py
查看文件

@@ -59,7 +59,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
chatbot[-1] = (inputs, response)
yield from update_ui(chatbot=chatbot, history=history)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response, user_name=chatbot.get_user())
# 总结输出
if response == f"[Local Message] 等待{model_name}响应中 ...":
response = f"[Local Message] {model_name}响应异常 ..."

2
request_llms/bridge_taichu.py
查看文件

@@ -68,5 +68,5 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
chatbot[-1] = [inputs, response]
yield from update_ui(chatbot=chatbot, history=history)
history.extend([inputs, response])
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response, user_name=chatbot.get_user())
yield from update_ui(chatbot=chatbot, history=history)

2
request_llms/bridge_zhipu.py
查看文件

@@ -97,5 +97,5 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
chatbot[-1] = [inputs, response]
yield from update_ui(chatbot=chatbot, history=history)
history.extend([inputs, response])
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response)
log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response, user_name=chatbot.get_user())
yield from update_ui(chatbot=chatbot, history=history)