client=OpenAI(api_key=os.environ.get("OPENAI_API_KEY"),)response=client.chat.completions.create(model="gpt-4",messages=messages,tools=functions,tool_choice="auto",)responseChatCompletion(id='chatcmpl-9qcEK7rbZMu
client=OpenAI()## 我们需要将用户的输入一并传递给OpenAI,以便从中提取函数调用所需要的参数。 messages=[{"role":"user","content":"深圳11月1号天气怎么样"}]### 第一次调用 Chat CompletionsAPI, 提取参数 response=client.chat.completions.create(model="gpt-3.5-turbo-1106",messages=messages,tools=too...
unit=function_args.get("unit"), ) messages.append( { "tool_call_id": tool_call.id, "role": "tool", "name": function_name, "content": function_response, } ) # extend conversation with function response second_response = client.chat.completions.create( model="gpt-3.5-turbo-0125", mes...
client=OpenAI classGetDeliveryDate(BaseModel): order_id:str tools=[openai.pydantic_function_tool(GetDeliveryDate)] messages=[] messages.append({"role":"system","content":"Youareahelpfulcustomersupportassistant.Usethesuppliedtoolstoassisttheuser."}) messages.append({"role":"user","content":"Hi,c...
from openai import OpenAI client = OpenAI() tools = [ { "type": "function", "function": { "name": "get_weather", "strict": True, "parameters": { "type": "object", "properties": { "location": {"type": "string"}, "unit": {"type": "string", "enum": ["c", "f"]}, ...
function.arguments) function_response = function_to_call(**function_args) messages.append( { "tool_call_id": tool_call.id, "role": "tool", "name": function_name, "content": function_response, } ) second_response = client.chat....
function_response = function_to_call(**function_args) messages.append( { "tool_call_id": tool_call.id, "role": "tool", "name": function_name, "content": function_response, } ) second_response = client.chat.completions.create(
, school_1_description ] for i, sample in enumerate(descriptions): response = client.chat.completions.create( model = 'gpt-3.5-turbo', messages = [{'role': 'user', 'content': sample}], functions = custom_functions, function_call = 'auto' ) response_message = response.choices[0]....
function_to_call=available_functions[function_name]function_args=json.loads(tool_call.function.arguments)function_response=function_to_call(**function_args)messages.append({"tool_call_id":tool_call.id,"role":"tool","name":function_name,"content":function_response,})second_response=client.chat.co...
["symbol"], }, }]messages = [{'role':'user','content':'Get stock symbol and price for Apple'}]response = client.chat.completions.create( model="text_demo", messages=messages, functions=functions, function_call="auto")response_message = response.choices[0].messageprint(response_mess...