AutoGen是一个框架,它通过使用可以彼此对话的多个代理来共同处理各种任务,从而促进大型语言模型(LLM)应用程序的创建。 AssistantAgent是专门设计用来作为人工智能助手来解决LLM任务的。 UserProxyAgent在每个交互回合中主要寻求人工输入作为其默认响应时进行调用。它还具有执行代码和调用函数的能力。如果不提供人工用户输入,该...
AutoGen是一个框架,它通过使用可以彼此对话的多个代理来共同处理各种任务,从而促进大型语言模型(LLM)应用程序的创建。 AssistantAgent是专门设计用来作为人工智能助手来解决LLM任务的。 UserProxyAgent在每个交互回合中主要寻求人工输入作为其默认响应时进行调用。它还具有执行代码和调用函数的能力。如果不提供人工用户输入,该...
engineer_system_message=f'''Engineer.You are a Senior Software Engineer that executes the fetch_prices functions as requested by the Financial Analyst.'''engineer=AssistantAgent(name='engineer',system_message=engineer_system_message,llm_config=llm_config,function_map={'fetch_prices': fetch_prices},...
@user_proxy.register_for_execution() 将currency_calculator函数添加到currency_calculatoruser_proxy.function_map中,然后 @chatbot.register_for_llm 将函数生成的 JSON 架构添加到 chatbot的 llm_config中。 PythonCurrencySymbol = Literal["USD", "EUR"]def exchange_rate(base_currency: CurrencySymbol, quote_...
AutoGen是一个框架,它通过使用可以彼此对话的多个代理来共同处理各种任务,从而促进大型语言模型(LLM)应用程序的创建。 AssistantAgent是专门设计用来作为人工智能助手来解决LLM任务的。 UserProxyAgent在每个交互回合中主要寻求人工输入作为其默认响应时进行调用。它还具有执行代码和调用函数的能力。如果不提供人工用户输入,该...
Ollama's code base now supports function calling natively, so I have recreated the documentation for LiteLLM+Ollama. Also, LiteLLM is breaking when it is set to use function calling with Ollama and the ollama_chat setting - this avoids that. Have also updated the documentation to use Meta...
Describe the bug Hi, with pyautogen==0.2.2 I tried to run three codes provided in #274 and previously in #252 and #152 about function calling in groupchats but I got errors from all of them. Steps to reproduce This is my current code: fr...
llm_config=llm_config,function_map={"fetch_prices": fetch_prices}, code_execution_config=False ) 3、UI设计师 uidesigner_system_message = f""" UI Designer: You are a Senior UI/UX designer with a specialization in crafting charts using the Amcharts Stock Chart library (referenced at https:...
I am getting an error while trying to run autogen using a local LLM Below is the Code I am running. Note that I am using LM Studio (LLM: Llama 2) and I have double checked to make sure that the server number is correct. from autogen import AssistantAgent, ... large-language-mod...
Guide for GPTAssistantAgent and function calling example. New feature: resumable group chat. New transformation capability: text compression using LLMLingua. Experimental integration of AgentEval. New notebook examples: Azure Cognitive Search and Azure Identity. Mitigating Prompt hacking with JSON Mode ...