autogen plugin bug fix
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@ -35,7 +35,11 @@ def gpt_academic_generate_oai_reply(
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class AutoGenGeneral(PluginMultiprocessManager):
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def gpt_academic_print_override(self, user_proxy, message, sender):
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# ⭐⭐ run in subprocess
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self.child_conn.send(PipeCom("show", sender.name + "\n\n---\n\n" + message["content"]))
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try:
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print_msg = sender.name + "\n\n---\n\n" + message["content"]
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except:
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print_msg = sender.name + "\n\n---\n\n" + message
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self.child_conn.send(PipeCom("show", print_msg))
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def gpt_academic_get_human_input(self, user_proxy, message):
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# ⭐⭐ run in subprocess
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@ -62,7 +66,6 @@ class AutoGenGeneral(PluginMultiprocessManager):
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def exe_autogen(self, input):
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# ⭐⭐ run in subprocess
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input = input.content
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with ProxyNetworkActivate("AutoGen"):
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code_execution_config = {"work_dir": self.autogen_work_dir, "use_docker": self.use_docker}
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agents = self.define_agents()
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user_proxy = None
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@ -85,6 +88,7 @@ class AutoGenGeneral(PluginMultiprocessManager):
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if agent_kwargs['name'] == 'assistant': assistant = agent_handle
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try:
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if user_proxy is None or assistant is None: raise Exception("用户代理或助理代理未定义")
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with ProxyNetworkActivate("AutoGen"):
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user_proxy.initiate_chat(assistant, message=input)
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except Exception as e:
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tb_str = '```\n' + trimmed_format_exc() + '```'
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@ -51,13 +51,6 @@ def 多智能体终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
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if model_info[llm_kwargs['llm_model']]["endpoint"] is not None: # 如果不是本地模型,加载API_KEY
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llm_kwargs['api_key'] = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
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# 检查当前的模型是否符合要求
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API_URL_REDIRECT = get_conf('API_URL_REDIRECT')
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if len(API_URL_REDIRECT) > 0:
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chatbot.append([f"处理任务: {txt}", f"暂不支持中转."])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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# 尝试导入依赖,如果缺少依赖,则给出安装建议
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try:
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import autogen
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