'function', 'index': 0}], 'role': 'assistant'}, {'content': '{"location": "长沙", "unit": "C", "date": "2024-02-22", "temperature": 23}', 'tool_responses': [{'tool_call_id': 'get_current_weather:0', 'role': 'tool', 'content': '{"location": "长沙", "unit": ...
for tool_call in tool_results: tool_calls.append( ChatCompletionMessageToolCall( id=str(random.randint(0,2500)), function={"name": tool_call['name'], "arguments": json.dumps(tool_call["arguments"])}, type="function" ) ) except Exception as e: print("Tool parse error: {tool_results...
agentchat_function_call.ipynb:用 autogen 执行自己定义的函数,类似于 Langchain 工具定义写法。 agentchat_group_chat_with_llamaindex_agents.ipynb:用 autogen 调用 LlamaIndex,并使用其内部定义的 Agent。autogen 专门实现了 LLamaIndexConversableAgent,以便与 LlamaIndex 衔接。 agentchat_langchain.ipynb:使用 Lang...
[1] https://levelup.gitconnected.com/autogen-langchian-rag-function-call-super-ai-chabot-3951911607f2 [2] https://www.microsoft.com/en-us/research/blog/autogen-enabling-next-generation-large-language-model-applications/ [3] https://github.com/microsoft/autogen [4] https://pyt...
analyst (to chat_manager):*** SuggestedfunctionCall:fetch_prices***Arguments:{'days':30,'symbol':'GRAB'} 在收到来自聊天管理器的指令后,工程师继续执行该函数,获取输出,然后通知聊天管理器。 >>>EXECUTINGFUNCTIONfetch_prices...[***100%%***]1of1completedengineer(tochat_manager):***Responsefromc...
书接上文《26K Star!LLM多智能体AutoGen教程5:函数调用之避免捏造参数》,我们使用typing对可调用函数进行注解,AutoGen据此自动生成OpenAIAPI函数调用时的请求参数。本文将简要介绍Python中typing包的基础操作,顺便简单的介绍一下Pydantic,然后深入AutoGen的流程,探查AutoGen如何通过typing帮助自动生成Open AI API工具调用的参...
*** Suggested function Call: fetch_prices *** Arguments: { "days": 30, "symbol": "GRAB" } 在收到来自聊天管理器的指令后,工程师继续执行该函数,获取输出,然后通知聊天管理器。 >>> EXECUTING FUNCTION fetch_prices... [***100%%***] 1 of 1 completed engineer (to chat_manager): *** Re...
=SimpleNamespace()client_response.choices=[]client_response.model=self.modelforchoiceinapi_response.get("choices",[]):client_choice=SimpleNamespace()client_choice.message=SimpleNamespace()client_choice.message.content=choice.get("message",{}).get("content")client_choice.message.function_call=None...
*** Suggested function Call: fetch_prices *** Arguments: { "days": 30, "symbol": "GRAB" } 1. 2. 3. 4. 5. 6. 7. 8. 9. 在收到来自聊天管理器的指令后,工程师继续执行该函数,获取输出,然后通知聊天管理器。 >>> EXECUTING FUNCTION fetch_prices... [***100%%*...
When examining the samples provided by the Azure OpenAI Assistant API Function Call, Completion API Function Call, or Autogen Function Call, they all require the function metadata to be specified in the code. Imagine you have hundreds of data I/O functio