openai functioncall 에러 메세지

 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....


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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 

                    "tool_call_id": tool_call.id,
                    "role""tool",
                    "name": function_name,
                    "content": function_response,


이부분을 지우고 

role : assistant 로 넣고 content를 function_respose로 붙여서 임시 방편으로 해결했습니다.


혹시 정확한 해결방법을 아시는 분은 알려주세요!!