if(message.get("function_call")):function_name=message["function_call"]["name"]arguments=json.loads(message["function_call"]["arguments"])if(function_name==SkillFunctions.SendEmail.value):email_info=send_email(receiver=arguments.get('receiver'),content=arguments.get('content'))print(email_info...
chat.completionsMessage(content='Hithere!Icanhelpwiththat.CanyoupleaseprovideyourorderID?',role='assistant',function_call=None,tool_calls=None) 在助手使用场景中,你通常会希望向用户展示这个回应,并让他们对其进行回复,在这种情况下,你将再次调用API(将助手的最新回应和用户的回应都追加到消息中)。 假设我们...
role='assistant',function_call=None,tool_calls=[chat.completionsMessageToolCall(id='call_62136355',function=Function(arguments='{"city":"New York"}',name='check_weather'),type='function'),chat.completionsMessageToolCall(
Example function definition Reading the functions Submitting function outputs See also The Assistants API supports function calling, which allows you to describe the structure of functions to an Assistant and then return the functions that need to be called along with their arguments.Past...
Richie, a Senior Data Evangelist at DataCamp, shows you how to use the function calling features in the OpenAI API and GPT-4o to create a simple AI assistant that has a natural language interface. Richie Cotton code-along Getting Started with the OpenAI API and ChatGPT Get an introduction...
模型命中 function 并且返回解析的参数 {"role":"assistant","content":null,"function_call":{"name":"ask_database","arguments":"{\n \"query\": \"SELECT * FROM album_tb ORDER BY likes DESC LIMIT 5\"\n}"}} 查询DB,将数据返回给我模型(赋能) ...
Azure OpenAI Assistants allows you to create AI assistants tailored to your needs through custom instructions and augmented by advanced tools like code interpreter, and custom functions. In this article, we provide an in-depth walkthrough of getting star
function_call="auto",# auto is default, but we'll be explicit) response_message = response["choices"][0]["message"] """ 输出: <OpenAIObject at 0x7a90d69f1620> JSON: { "role": "assistant", "content": null, "function_call": { ...
import OpenAI client = OpenAI() class GetDeliveryDate(BaseModel): order_id: str tools = [openai.pydantic_function_tool(GetDeliveryDate)] messages = [] messages.append({"role": "system", "content": "You are a helpful customer support assistant. Use the supplied tools to assist the user....
AssistantKernel kernel = new AssistantKernel( aiServices: new () { gpt35Turbo, gpt4Agent }, plugins: new () { intentPlugin, mathPlugin } ); // Start the chat kernel.StartChat(chatFunction); while(true) { Console.Write("User > "); ...