'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...
[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...
3-智能体与FunctionCall import chainlit as cl from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.teams import RoundRobinGroupChat from autogen_ext.models.openai import OpenAIChatCompletionClient @cl.password_auth_callback def auth_callback(username: str, password: str): if (...
*** 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...
[FunctionCall(id='call_MQ2CXR8UhVtjNc6jG3wSQp2W', arguments='{}', name='transfer_to_travel_agent')] [Prompt tokens: 303, Completion tokens: 13] --- flights_refunder --- [FunctionExecutionResult(content='Transferred to travel_agent, adopting the role of travel_agent immediately.', call...
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...
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
=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...
--- assistant --- [FunctionCall(id='call_tIZjAVyKEDuijbBwLY6RHV2p', arguments='{"text":"I am happy today!"}', name='sentiment_analysis')] --- assistant --- [FunctionExecutionResult(content='happy', call_id='call_tIZjAVyKEDuijbBwLY6RHV2p', is_error=False)] --- assistant --- {...