Error code: 400 - {'error': {'message': "Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.", 'type': 'invalid_request_error', 'param': 'messages.[1].role', 'code': None}}
이번 업데이트된 버전으로 코드를 수정하고 있습니다.
그러던 중 functioncall 기능을 이용한 코드를 수정하였는데, 위와 같은 오류가 발생했습니다.
코드의 구조는 openai에서 제시하고 있는 기본 코드 구조인 다음의 형태를 그대로 따랐지만....
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | from openai import OpenAI import json client = OpenAI() # Example dummy function hard coded to return the same weather # In production, this could be your backend API or an external API def get_current_weather(location, unit="fahrenheit"): """Get the current weather in a given location""" if "tokyo" in location.lower(): return json.dumps({"location": "Tokyo", "temperature": "10", "unit": "celsius"}) elif "san francisco" in location.lower(): return json.dumps({"location": "San Francisco", "temperature": "72", "unit": "fahrenheit"}) elif "paris" in location.lower(): return json.dumps({"location": "Paris", "temperature": "22", "unit": "celsius"}) else: return json.dumps({"location": location, "temperature": "unknown"}) def run_conversation(): # Step 1: send the conversation and available functions to the model messages = [{"role": "user", "content": "What's the weather like in San Francisco, Tokyo, and Paris?"}] tools = [ { "type": "function", "function": { "name": "get_current_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA", }, "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, }, "required": ["location"], }, }, } ] response = client.chat.completions.create( model="gpt-3.5-turbo-1106", messages=messages, tools=tools, tool_choice="auto", # auto is default, but we'll be explicit ) response_message = response.choices[0].message tool_calls = response_message.tool_calls # Step 2: check if the model wanted to call a function if tool_calls: # Step 3: call the function # Note: the JSON response may not always be valid; be sure to handle errors available_functions = { "get_current_weather": get_current_weather, } # only one function in this example, but you can have multiple messages.append(response_message) # extend conversation with assistant's reply # Step 4: send the info for each function call and function response to the model for tool_call in tool_calls: function_name = tool_call.function.name function_to_call = available_functions[function_name] function_args = json.loads(tool_call.function.arguments) function_response = function_to_call( location=function_args.get("location"), 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-1106", messages=messages, ) # get a new response from the model where it can see the function response return second_response print(run_conversation()) | cs |
오류가 발생했습니다.
그래서 그냥
이부분을 지우고
role : assistant 로 넣고 content를 function_respose로 붙여서 임시 방편으로 해결했습니다.
혹시 정확한 해결방법을 아시는 분은 알려주세요!!
