'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": ...
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...
analyst (to chat_manager): *** 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 ...
[-1] if "function_call" in message: return self.admin except Exception as e: print(e) pass selector.update_system_message(self.select_speaker_msg()) final, name = selector.generate_oai_reply( self.messages + [ { "role": "system", "content": f"Read the above conversation. Then ...
*** 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%%*...
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...
func_print = f"*** Suggested function Call: {message['function_call'].get('name', '(No function name found)')} ***" AttributeError: 'NoneType' object has no attribute 'get' Process finished with exit code 1 afourneyadded thealt-modelsPertains to using alternate, non-GPT, models (e...
=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...
Where ./swagger.js is the file containing the swaggerAutogen(...) function call (see section Usage. After that, at the root of your project, run the following command:$ npm run swagger-autogenBuilding documentation at project startup
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